Mathematics and Its Applications (Soviet Series)
Managing Editor: ~"'INKBL, lvi. IIAZEWINKEL , Centre for Mathematics and Science, Amsterdam,~.,r""N.',."d"'" The Netherlands ,d8tlComputer ,Sc'.ae',tA..'....
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Editorial Board: EdiIoriallBoIRl:
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N. N. MOISEEV, Computing Centre,Academy ofSciences,~,I401fJOW'. N,.,N,.MOf ,U,S'.,S,J';,., Moscow, U.S.S.R. ,S,.P~NOY S. P. NOVIKOV, Landau Institute of Theoretical Physics,MfII«JW:. Moscow,,U,S~,S:.,II;., USSR. M. ,CPOLYVAN10'V", C. POLYVANOV, Steklov institute of Mathematics, Moscow, US.S.R, M,. ~,.'. Vu. A,.,ROZAN'OY., A. ROZANOV, Steklov Institute '0/ of Md"",*"icl" Mathematics,AlOIeOW" Moscow,U~,S.S~R,., USSR. VII.
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Volume Volu,~_ SO
Exponential Sums and their Applications by
N. M. Korobov of Matbematk.c, Department of Dqa""lIJ.lft AlatIJemol;C$, Moscow Un;'l'eTn", University, MOICow Moscow, U.S.S.R. Mt»Cow, U.S.,S.,R.
KLUWER ACADEMIC PUBLISHERS PUBLISHERS DORDRECHT DORDRBCIIT I BOSTON a,OSTON I LONDON LOND'ON
Ubrary of of Congress Cataloging-in-Publication Cataloging-in-PubUc'ation Data Library Korobov. N. N. N. M. (Nikolai (N1kolal Mikhallovich) M1khal1ov1ch)
ikh I [Tr 1gonometr 1chest 1esummy summy 1 1kh prllozheoiVa. pr 11 ozhen 1 fa. English) Eng 11 sh] (Trigonometricheskie Exponential andthe1r their applications Exponential sums sums and appl1cations / IN.M. N.M. Korobov Korobov ; [translatedby byYu.N Yu.NShakhov]. Shakhov). (translated cm. (Mathematics applications. Soviet p. em. —— -- (Mathemat 10s andand 1ts its app 11 cat 1ans. S·ov 1st series sir 1as p. v. 80) v. 80) ikhh prllozhenifi. Trans 1at 10n of of: Tr 1gonoraetr t chesk 1esummy summy i11k pr 11 ozhen 1 fa . Trigonometricheskie Translation Includes Includes bibliographical b1bl1ographical references references and and index. index. ISBN 0-7923-1647-9 0—7923—1647—9 (printed acidfree free paper) paper) ISBN (printed on on acid I. Title. 1. Trigonometric Trigonometric sues. sums. 2. Exponential Exponential sums. sums. I. T1tle. 1.
I I.Series: Ser 1IS:Mathematics M,athemat 1cs and and its 1tsapplications app 11 cat 10ns (K 1uwer Academ 1c II. (Kluwer Academic Publishers). Soviet S,ov1et series series: v. 80. 80. Publishers).
QA24'6. 8.T75K67 T7'5K6713 0A246.8. 13
1992
512".73--dc20 .73--dc2O
92-1223
ISBN 0-7923·-1647-9 0-7923-1647-9 ISBN
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Translated by Yu. N. Shakhov This book is the translation of the original work Trigonometrical Sums and and their thei" Applications Applications @ 198'9 © Nauka, Moscow 1989
All Rights Reserved @ © 1992 Kluwer Academic Publishers No No part part of of the the material protected piotected by this copyright notice may be reproduced or utilized in any fonn form or by any means, electronic or mechanic'al, mechanical, including photocopying, photocopying, recording or by any information storage and retrieval system, system, without written permission from from the copyright owner. owner. retrieval Printed in in the the Netherlands Netherlands Printed
SBRJESEDITOR'S EDITOR'S PREFACE PREFACE sBRJES
'Et 8101..... mol. SI sl j'avalt anaucomment revcalr. Jo 'Bt j'.vait CC»DIDCD1en cal'OVelilir, jo n'y meals point aU6.' aild.' n'y semis poJat Jules Verne JuiesVeme
'me 1110 series divergent; therefore dtemforo we we may may be series Is divergent;
the One service ODe service mathematics mathelDatits has has rendered rcadcrod tho has put common human race. hUID8D raoc. It has COIDaOD. sense SCDSO back where it belongs, on the to where It belo.... OD. dlo topmost ropaost shelf Uell next 10 the dusty emistel'labcU.ed canister labelled 'dUcarded 'discarded DODBeDSe'• nonsense'. d1e
Eric T. Bell BrlcT.BeU
shintO able to do something so.etJdq with widl It. it. Heavialde 0. Heavlsldc O.
is a tool for thouabt. thought. A A highly necessary necessary tool tool in in aa world world where both feedback and nonIinearinonlineariMathematics is abound. Similarly, Similarly, all all kinds kinds of of parts parts of mathematics mathematics serve serve as as tools tools foJ foj other parts and for other scities abound. ences. Applying rule to the quote on the right above one finds such statements as: 'One ApplyinS a simple rewriting mle 'Oneserservice topology has rendered mathematical mathematical physic's physics .... ...';'; 'One service logic has rendered computer science arguabiy ttue. tree. And service category category theory theory haa has rendered ...'. All arguably ...'; rendered mathematics mathematics .,.,.'. And all all statements statements ,..'; 'One service obtainable this way fann form part of the raison dd'être 'eire of of this this series. series. have Its Applications, started in 1977. Now that over one hundred volumes have This series, Mathematic, Mathematics and and 1t8 appeared it seems opportune to reexamine its scope. At the time I wrote "Growing specialization bmught a host of monographs monographs and textbooks textbooks "Growing specialization and diversification have brought specializedtopics. topics. However, However,the the 'tree' 'free' of and on increasingly increasingly specialized of knowledge knowledge of mathematics mathematics and related fields grow only by by putting putting forth forth new new branches. branches. ItIt also also happens, happens, quite quite often often in in fields does not srow fact, that branches which were thought thoulht to be completely complete1j' disparate disparate are suddenly suddenly seen to be related. related. Further, Further, the the kind kind and andlevel level of ofsophistication sophistication of ofmathematics mathematics applied applied in in various various scisciences ences has changed changed drastically drastically in recent recent years: years: measure measure theory theory is used used (non-trivially) (non-ttivially) in regional and theoretical economics; algebraic geometry leometl"y interacts ime11lCts with with physics; physics; the the Mlnkowsky Minkowsky lemma, coding theory and the structure of water meet codin'g theory meet one one another another In in packing packing and and covering coverlnl theory; quantum fields, pregramming profit from homotopy fields, crystal defects and mathematical programming theory; Lie algebras alsebras are relevant to to filtering; filtering; and prediction and electrical electric'a! engineering engineerin'g can use use Stein spaces. as 'experispaces. And And in in addition addition to this this there are such such new emerging emerging subdisciplines subdisciplines as mental mathematics', mathematics', 'CFD', 'CFD', 'completely 'completely integrable integrable systems', systems', 'chaos, 'chaos,synergetics synergetics and and largelargeclassification schemes. schemes. They scale order', which are almost impossible to fit into the existing classification draw upon widely different section,s sections of of mathematics." mathematics."
By and and large, large, all all this this still applies applies today. today. Itit is still true that at first sight mathematics By mathematics seems rather fragmented and and that to find, find, see, see, and exploit the the deeper deeper underlying underlying interrelations interrelationsmore moreeffort effortisIsneeded neededand and80 so mented that can help mathematicians mall ematicians and scientists do so. AccordinaIY Accordingly MIA will continue to try to make are books th'at make such books available. description I gave in 1977 If anything, anythinl, the description 1977 is is now now an an understatement. understatement. To the the examples examples of ofinteraction interaction areas one one should add add string string theory theory where where Riemann Riemann surfaces, surfaces, algebraic algebraic geometry, geometry, modular modularfunctions, functions,knots, knots, areas quantum field field theory, theory, Kac-Moody Kac-Moody algebras, algebras, monstrous monstrousmoonshine moonshine(and (andmore) more)all allcome come together. together. And And to to the examples of things which can be usefully applied let me add the topic 'finite 'finite geometry'; geometry'; aacombination combination words which which sounds sounds like like itit mi'gbt might not not even even exist, exist, let let alone alone be be applicable. applicable. And And yet yet itit is beinS being applied: applied: to to of words statistics via via designs, designs, to to radarlsonar radaiisonar detection arrays arrays (vi'a (via finite finite projective projective planes), planes), and to bus connections statistics of VLSI difference sets).. sets). There seems to be no part pan of that is is not VLS'I chips (via difference of (so-called (so-called pure) mathematics that In immediate immediate danger danger of of being being applied. applied. And, accordingly, mathematician needs needs to to be be aware aware of In accordinlly, the applied mathematician much more. more. Besides Besides analysis analysis and and numerics, numerics, the the tradition,at traditional workhorses, workhorses, he he may may need need all all kinds kinds of combinamuch torics, alsebra, algebra, probability, probability, and and so soon. on. needs to cope increasingly with the nonlinear world and the extra In addition, addition, the applied applied scientist scientist needs increasingly with nonlinear world extra
vi
mathematical sophistication sophistication that that this thisrequires. requires. For that is is where where the the rewards rewards are. are. Linear Linear models modelsare are honest honest mathematical proportknal efforts and a bit sad and depressing: depressinl: proportional efforts and and results. results. ItIt is is in in the the nonlinear nonlinear world world that that infinitesimal infinitesimal result in macroscopic macroscopic outputs outputs (or (or vice vice versa). versa).To Toappreciate appreciatewhat whatIIsm hinting at: if electronics am hintin'l inputs may !esult were linear linear we would would have have no fun with transistors and computers; computers;we we would wouldhave haveno no TV; TV; in in fact fact you were transiators and would not be reading these lines. There is also superspace and and There also no no safety safety in inignoring ignoring such such outlandish outlandish things things as nonstandard nonstandard analysis, analysis, superspace anticomniuting integration, integration,p-adic p-adicand and ulttametric ulirametric space. space. All All three three have applications anticommuting applications in both electrical electrical engineering and physics. physics. Oncn, esgineerin'l Once, complex complex numbers numbers were equally outlandish, but they frequently frequently proved proved the the shortest path path between between treal' 'real' results. shortest results. Similarly, Similarly, the the first first two two topics topics named named have have already already provided provided aa number number of of 'wormhole' 'wormhole'paths. paths.There Thereisisno notelling tellincwhere where all an this this is is leading - fortunately. reasons now comprises comprises five five subseries: subseries: Thus the original scope of the series, serles, which for various (sound) (sound) reasons white (Japan), (Japan), yellow yellow (China), red (USSR), blue (Eastern Europe), and and green else), still white (China), red (USSR), blue (Eastern Bmope), green (everything (everything else), applies. books treatin'g treating of of the tools tools from from one one subdiscipline subdiscipline which which are are applies. It has been enlarged en1arp a bit to include boob used In in others. Thus the series still aims at books dealing with: •
a central concept which plays an Important important role In in several several different different mathematical mathematical and/or scientific scientific specialization speclalization areas; another, new applications of the results and ideas from one area of scientific endeavour into another; had, on on the the influences which the results, problems and concepts of one field of enquiry have, and have had, development deve10pmeDt of of another.
The method of exponential sums is is one of of the few few geneml general methods methods in In (analytio (analyticand and 4'elementary') 'I1to DUJIlber elementary') number theory. It is also, without a doubt doubt,t one of the more mote powerful ones. ones. Oetting Getting acquainted acquainted with with it, it, and and leamio8 learning theory. Its ideas and applicability, applicability, is is a bit bit of a problem though. though. The The standard sources were composed to appreciate its mimber theorists. by and for expert analytic number The present monograph gives a straightforward straightforward accessible account of of the theory theory with widl aa number number of ofillusillustrative applications (to number theory, but also to numerical numerlca1 questions). At the same time time itit contains contains some some new results (in theory) and new applications due to the author. The main aim of of this this series series isis to to improve improve understanding Wlderstandiog between between different different mathematical mathematical speclalisms. specialisms. In In nonirivially to that. that. my opinion this book contributes IlODttivially The shortest ehorteatpadl pathbetween betweentwo twotnJtU tiuthi la. In d10 the .... real Tho domaiD domaIn pasaea passer tbroup through die the coampJ.ox complex domaID. domaIn. J. Hadarnard J.~
La physique p,alquo en DO nova DOUI donne cIoDaopus pasLeulement .seuIemeot l'occaulon ... cli. I'occaslcm de rfroudre JJ6Ioudre des dOlproblbnies p~ ••• • nous pressentir Ia solution, DOUI fail fait pIeISODtir Ja soIutlon.
IL Polncard H.~
lend boob, booki, for DO no OBO one ever rclums returns thaD; them; Never 1cIMl tho havo in fa my .y library lft1rary are _ books boob the OBIy only boob books I have have JeDt lent IDe. me. that other folk Iuwo Anatole Aaato1c France PraDCC
Th. nofunction fuDcdoaof ofan aaexpert expert Isil not DOt to 10 be bemore DlOI'Oright dsht
than tbu. othct o&kcr people, people, but to to be be wrong wroDB for for more moro sophIStIcated muons. sophisticated reasons. David Butler Butler
Bussum, 9 Febmary February 1992 BUSS1Im,
MIchiel Hazewinkel Micbiel
CONTENTS CONTENT'S
SERIES EDITOR'S PREFACE
PREFACE
tic Ix
INTRODUC'TION· INTRODUCTION CHAP'TER CHAPTER
v
COMPL,ETEEXPONENTIAL EXPON'ENTIA,LSUMS SUMS I. COMPLETE §1. 11. §2. 52. 13. §3. 1,4. §4. 15. §5.
ix IX
11
Stuns of the first Sums firs't degree degree
11
General properties of of complete sums
7
Gaussian sums
13
Simplest complete sums Bums
22
Mordell's method
29 2,9
1,6. congruenres §6. Systems of congruences
34
17. §7. 18. §8.
40
Sums Stuns with exponential func,tion function
Distribution of digits in complete period Di,stribution perio,d of of periodic fractions frae'bons Exponential 8UIflSwith withrecurrent recurrent function function S9. §9. ExponentialsuDlB
§10. Sums 110. Sumsof ofLegendre's Legendre's symbols symbols CH,A,PTER n. WEYL''SSUMS SUMS CHAPTER II. WEYL'S
45 53 61
68
Ill. Weyl's method met.hod §11.
68
§12. Systems 112. Sys'tems of of equations equations
78
§13. Vinogradov's mean 113. me'an value value theorem
87
§14. Estimates of 114. of Weyl's sums
97
§15. Repeated application of the mean value theorem 115.
110 110
§16. Sums 116. Sumsarising arising in in zeta-function zet,&-function theory
119
§17. Incomplete 117. Incomplete rational rational sums
126
§18. Double n,ouble exponential sums
133
§19. Uniform 119. Uniform distribution distribution of of fractional fract.ional parts
139
Contents
vi,ii
CHAPTER IlL FRACTIONAL C'B,APTER fil. FRACTIONALPARTS PA,RTSDISTRIBUTION, DISTRIBUTION. NORMAL NORM,AL NUMBERS, N'UMBERS, AND QUADRATUItE QUA,DRATURE FORM'UL,AS FORMULAS §19. Uniform fractional parts 119. Uniform distribution of frae'tiona! §20. Uniform distribution of functions systems and 120. and completely uniform distribution oomplete1y uniform §21. Normal andconjunctly oonjunc'~lynormal normal number8 numbers 121. Normaland
122. §22. Distribution of digits in period part part of of periodical perio,dicaJ. frac,tions fractions between exp,onential exponential sums. sums, quadrature quadrature §23. Connection between 12:3. formulas formulas and fractional lractlonaJ parts distribution §24. Q'uadrature Quadrature and interpolation with the 124. interpolation formulas formulas with number-theoretical nets net,s
REFERENC'ES REFERENCES SU'B,J'EC'T SUBJECT INDEX OF NAMES NA,M'ES INDEX INPEX OF
PREFACE
The method of exponential sums is one of a few few general methods enabling us to solve a wide range range of miscellaneous miscellaneous problems problems from from the the theory theory of numbers numbers and its applications. applications. wide The strongest results have have been with the The strongest results been obtained obtained with the aid aid of ofthis thismethod. method.Therefore Therefore knowledge knowledge of of the the fundamentals fundamentals of of the the theory theory of exponential sums is nece'ssary necessary for studying modem number theory. of exponential sums is complicated by the fact that the the wellwellThe study of the method of [16] and known monographs monographs [44], [44], [161 and [17] [17] are are intended intended for for experts., experts, embrace embrace aa large large number of the fundamental problems at at once, once, are are written briefly and and for these reasons fundamental probl,ems written briefly reasons are are not not really suitable for a first acquaintance with the subject. really The main aim of the present monograph is to present an as simple simple as as possible pos'sible exposiexposition of the the theory theory and, and, with with a series series of examples, examples, to show show how tion of the the fundamentals fundam,entals of exponential sums sums arise arise and and are applied in problems of number number theory theory and and in in questions questions exponential connected with with their their appHcations. applications.First Firstof of all, all, tbe the book connected book is intended intended for those those who who are are beginningaa s,tudy study of of exponential exponentialsums. sums.At At the the same same time, time, itit can for beginning can be interesting intere'sting for specialists also, because because itit contains contains samle some results results which which are are not specialists also, not included included in in other other monographs. This book repre'sents represents an an expanded expanded course course of of the the lectures lectures delivered delivered by by the the author author at at the the This Mecbani,c'S and Mechanics and Mathematics Mathematics Department Departmentof of Moscow Moscow University University during during the the course course of many years. It contains the classical results of of Gauss, and and the the methods methods of ofWeyl, Weyl, Mordell Mordell which are exposed in detail; the traditional and Vinogradov, Vinogradov, which traditional applications appli,cations of of exponential exponential sums to the distribution of fractional parts, the estimation sums e'stimation of of the the Riemann Riemann zeta-function, zeta-function, the equations are are considered too. Some the theory theory of congruences congruences and Diophantine Diophantine equations considered too. Some new applications of of exponential exponential sums sums are are also also included included in in the the book. applications book. In particular, questions quesdons relating to to the of digits digits in in periodic fractions, arising arising in in the the expansion of relating the distribution distribution of periodic fractions, expansion of rational numbers numbers under an arbitrary base notation, notation, are considered, considered, and and a number of results rational concerning the the completely completely uniform distribution of fractional frac·tional parts and and the the approximate approximate concerning uniform distribution computation of multiple integrals are discussed. Questions concerning concerningthe the additive additive theory theory of of numbers numbers are are not not included in the book, Questions included in book, because for their real understanding one should master the fundamentals of of the theory of of exponential sums. sums. It will be easier to exponential to become become acquainted acquainted with with these these and and other other questions ques,tions exposed in in the monographs [44], [17], [17], [47], [47], [6] [6] and [43] following exposed m,onographs [44], following a subsequent, subsequent, more m,ore profound study of the subject.
x.
To read this book book itit isis sufficient suffteient to to know know the thefundamentals fundamentals of ofmathematical mathematical analysis analysis and and to have a knowledge knowledge of elementary elementary number number theory. theory. For For those,. those, who who are are com,ing coming to to grips with the subject for the first time, it is is recommended recommended to combine the reading reading of of this tbis book with solving book. solvill8 pmblems problems concerning the investigation and application of the simplest exponential sums [45].
INTRODUCTION An exponential sum as ~a sum of the form An Bum is defined defined as S(P) = 5(P) =
L e52iri 1(x),
21fi f(x) ,
(1)
z
where xx runs runs over over all all integers integers (or (or some someofofthem) them)from fromaacertain certaininterval, interval,PP isis the the where number of of the the summands sunimands and and f(x) f(s) isis an number anarbitrary arbitraryfunction function taking t,aking on on real real values values under integer:&. integer x. Many theory and its applications under Many problems problems of the number number theory applications can be reduced to the study reduced study of of such such sums. sums. Let us show, sums arise arise in solving show, for for instance, instance, how how exponential exponential sums solving the problem of possibility to to represent represent aa natural number N in possibility number N in the the form form of of aa sum sum of of integer integer powers powers of natural numbers, numbers, the the exponents exponents being being equal, equal, (2)
(Waring's problem). problem). Let Let nn and kk be integers,PP the greatest integer be fixed fixed positive positive integers, integer (Waring's 1
not exceeding N and (2). For exceeding Nn andTk(N) Tk(N)the thenumber numberof ofsolutions solutions of the equation equation (2). For an an integer means of of the equality integer a, let the the function function "p(a) be defined defined by means If \
Ie
—
—
fi
if a = = 0, if a # O.
10
0
Then obviously obviously p
L
Tk(N) = = T1c(N)
Xl,···,%.=1
= =
II 1
.,p(:x~ +···+ +... + :x~ -— N) ==
aN e-21riaN
P
L Xl , ••• ,z~=l
(
P
[;e21riaZIl
]J 1
52,ri 21ri e (zN· ..+z;-N)ada
00
)k da.
") da.
Thus the arithmetic arithmetic problem problem concerning concerning the number of solutions of the equation (2) is reduced reduced to the study is study of of integral integral depending on the power of the exponential sum p
S(P) = =
Le 2:=1
2 11'i as R
•
(3)
Introduction In troduction
xU
applications, the most important important sums aie those, for which whichthe the function function1(3:) f(s) For applications, sums are those, for is a polynomial and the the summation summation domain domain is an interval: interval: S(P) =
Q+P
L
f(s) = a1x +.
e21ri I(x),
(4)
.+
z=Q+1 z=Q+l
Such exponential exponential sums sums are are called Weyl's sums sums and and the degree Such called Weyl's degree of the polynomial f(s) I(x)the thedegree degreeofofthe theWeyl's Wcyl'ssum. Bum.So, So,for for example, example, the the sum sum (3), (3), arising arising in in Waring's Waring's degree n. problem, problem, is is a Weyl's sum of degree The main problem sums isis to to obtain obtain an upper estimate problem of of the theory theory of exponential sums estimate of the modulus of an exponential exponential sum as sharp as as possible. possible. As As the the modulus modulus of of every every addend of the sum trivial estimat,e estimate sum is is equal equal to to unity, unity, so so for any sum (1), the following following trivial is valid:
IS(P)I ~ P.
by H. Weyl The first general general nontrivial nontrivial estimates estimates were were given given by Weyl [49]. [49]. Under certain certain ofthe thepolynomial polynomialI(f(s), showed that that under requirements for the leading coefficient coefficient of x), he showed under any from the interval interval 00 < <ee <<11there any e from there holds holds the the estimate estimate
Le p
21ri
~
/(X)
C(n,e)P
1--2(5)
2"-t,
z=1
where = and C(n,e;) C(n, e) does doesnot not depend dependon onP.P. Under 12 the essential =11—- ee and Under n ~ 12 where"'( improvement of this result result was was obtained obtainedby byI.I. M. M.Vinogradov Vinogradov [44], [44], who showed that that 1_ _ 7_
estimate (5) (5) under under certain cert,ain "( > 00 the the right-hand right-hand side side C(n,e)P C(n,e)P in the estimate 1_ _'1_ 1— 2 log n replaced replaced by by the the quantity quantity C(n)P C(n)P n J.o-g
2,,-1
might
be If fractional fractional part,s parts of function function I(x) f(s) have have an an integer integer period, period, i.e., i.e., if under under a certain cert,ain positive integer Tr the {f(x)}, where the equality equality {f(x {f(x++T)} r)} = = {lex)}, wllere {f(x)} is is the the fractional fractional positive integer s, then the sum part of of the function f(s), f(x), holds holds for for any any integer int,eger x, r
S(r)
= Le 11"i / (:r;) = 2
z=1
sum. As is called a complete exponential sum. As an example of a complete complete exponential sum we can take the thepnlynomial polynomialI(x) f(s) are we can the Weyl's Weyl's sum, sum, in in which which all all coefficients coefficient,s ofofthe rational and denominator of of the and the the number number of of summands summands is equal to the the common common denominator coefficients:
S(q) == S(q)
IIq
Le
211"i
CltX+ ••• +(ln X "
, q
·
(6) (~)
:.:=1
rational Bums sums of degree Under an t=. 0 (mod (mod q) such such sums are called called complete complet,e rational degree n. There are more precise estimates of these sums, than estimates of Weyl's sums are more precise Weyl '8 S'ums of the general form.
Introduction
xlii xiII
The thorough research research of of complete complete rational sums sums of of the the second second degree degree was was carried carried q) == 11 for the modulus of the out by Gauss. Gauss. In In particular, particular, he he showed showed that under (a, q) stUn sum 2 S(q) the equalities
=
if qqEl(mod2), == 1 (mod 2), if q == 0 (mod 4), if q == 2 (mod 4)
~
{
IS(q)I = .~ IS(q)l= 0
valid. are valid.
For complete complete rational sums of an arbitrary For arbitrary degree degree under under aaprime primeqqMordell Mordel1[36] [aa] obtained the estimale obt,ained estimate
I> q,
alx+...+anx 2 ' alx+ ...+a"x" 2
fq
11'1
1I
~ C(n)l-fj,
(7)
x~l
does not depend on q. extended this estimation to where C(n) does q. Hua HuaLoo-Keng Loo-Keng [17] [17] extended to the case of an arbitrary arbitrary positive integer q. An essential improvement of the Mordell's positive integer An essential whoshowed showedthat thatunder underaa prime prime qq the the modulus modulus of of the the result was got by A. Weil [48], [48], who fixed nn and increasing q the sum (7) does not not exceed exceed the the quantity quantity(n (n— -l)y'q. Under fixed are the the best best possible, possible, apart apart from from the values estimates by A. Weil Weil and Hua Loo-Keng Loo-I{eng are of the constants, const,ant,s, and and do do not not admit admitfurther furtheressential essentialimprovement. improvement. sums, different different from from the the complete complete rational sum (6), Another example of complete sums, (6), is a~ sum with exponential function rr
SeT)
49"
= Lc2 m ,
(8)
11'i
s=::l
m. The where (q, (q, m) m) == 11 and Tr isis the where the order order of of qq for modulus m. The problem problem of the number number occurrences of of aa fixed fixed block blockof ofdigits digitsininthe the first first PP digits of a periodical of o,ccurrences periodical fraction, arising of an arbitrary rational ari.sing under q-adic q-adic expansion expansion of rational number number ~, is reduced reduced to estimations of of sums sums(8) (8) and and sums sumsS(P) S(P) for for P ~ rT [32]. estimations [32]. The The magnitude magnitude of the sum sum (8) depends on the characterization of prime prime factorization factorizationofofmmand andititturns turns out out that that for complete completesums sumsthis thismagnitude magnitudeisisequal equaltotozero zeroininmost mostcases. cases.But Butif ifP P<
p
P, e2 11'l
L
.,#:
m
~ CP
1-2.. n
2
,
z=1
where C C and 7 are where are absolute absolute constants, constants, holds. holds. The necessity to estimate estimate exponential exponential sums arises in the problem problem of approximate computation of integrals of an arbitrary multiplicity [23] as well. Let Let us consider, comput,ation of integrals of an multiplicity [23] as well. consider,
Introduction In traduction
xlv
instance, a quadrature formula constructed by by means meansof ofan an arbitrary arbitrary net net Mk = for instance, formula constructed Mk = (k = = 1,2, 1,2,... ,P) M(el(k),e2(k)) (k .. t,P) I I p
JJ
F(Zl,Z2)dx t dz 2 = =
o
~LF(et(k),e2(k)) -—Rp[F], Rp[F),
(9)
k=l
0
where F(Xl' F(xi , x2) where X2) is aa periodic periodic function function given given by by its itsabsolutely absolutely convergent convergent Fourier Fourier expansion 00
F(xi, Z2) =
L
C(mi ,
m1 m2=—oo
get after interchanging the order of sumwe get Substituting the series into equality (9) we mation p
C(m], m2) C(m1,m2)
Rp[FJ =
Le
2 '1ri (mlEt(k)+m2E2(k» ,
k1
m1,m2—0o
k=l
E'
all (ml,m2) (mi,m2) where E' denotes the summation over over all quadrature formula the ,quadrature formula (9) (9) satisfies s,atisfies
f. (0,0). Hence Hence the error term in
IC(mi,m2)I IS(mi,m2)I, mj ,m2 = —00
where the exponential sum p
S(mt, m2) m2) = S(mi, =
L: e
21ri (mtEl(k)+m2E2(k»
k=l
is determined by by the introduction of the net M(el(k), (k), e2(k)). (k)). Choosing the functions is so that the et(k) the sums sums S(mi,m2) S(ml,m2)could couldbe beestimated estimatedsufficiently sufficiently well, well, we e1(k) and e2(k) so get the opportunity opportunityto toconstruct constructquadrature quadratureformulas formulasofofhigh highprecision. precision. Chapter II of of this thisbook bookcontains containsa.a detailed detailed exposition exposition of of some some elementary element,ary knowlknowledge theory of of complete complet,c exponential sums and sums, which estimations estimations are are edge from from the theory reduced to estimations of complete complete sums. are comcomsums. Theorems Theorems treated treated in the chapter are paratively simple, simple, but but they constitute constitute the the base ba.se of of the the theory theory of of exponential exponential sums of paratively serve as a necessary preparation to more more complicated construcconstructhe general form and serve II. To To illustrate illustratepossible possible applications applications of complete sums, the solution solution tions of Chapter II. of the problem concerning concerning the distribution of digits digits in the period period of of fractions, fractions, ari~ ing representing rational is given given in ing in representing rational nmnbers numbers under under an an arbitrary base notation, is Chapter I.II in Chapter II is much more more complicated complicatedthan than in in Chapt,er Chapter I. ChapA technique used in ter II II is is devoted devoted to toan anexposition exposition of ofthe thetheory theoryof ofWeyl's Weyl's sums sums of of the thegeneral general form. form.
Introduction
In the chapter) In chapter, the t,he fundamental fundament,al methods methods by by Weyl Weyl and Vinogradov Vinogradov are presented as well well as as researmes researches b,ased based on on the the repeated application applica.tion of the mean mean value value theorem; theorem; as arising in the Riemanu their applications to estimation estimation of of sums, 8'urns, ari.sing Riemann zeta-function zet,a.-function theory theory [251—1281, givenalso. also. [251--(28], arearegiven In Chapter III, In 1.11, the the exponential exponential sums sums applications applications to the distribution distribution of of fractional fl-actional parts and the construction arc considered. considered. The The Weyl Weyl theory theory p,arls construction of quadrature formulas formulas arc uniform distribution distribution is of uniform is exposed) exposed) the the questions of complete uniform distribution distribution[20] [20] arc also considered there. and their connection connection with with the thetheory theoryof ofnormal normal numbers numbers [22] [22] are The chapter is is devoted devoted to to the theproblem problem of of approximate approximat,e calcuintion calculat,ion The final final part of the chapter of multiple multiple integ'ala integrals and and to construction for functions functions of of construction of interpolation i.nterpolation formulas formulas for [29], and [30]. many variables variables[231, (2,3], [2:9], [30].
C'H,A,P'TER CHAPTER
I
COM:PLETE EXPONENTIAL EX,PONENTIA,L SUMS SU'MS COMPLETE
I 1. Sums SU,IDS of of the first B,rst degree degree simples't example example of Weyl's sums firsi degree The simplest sums is is the sum of the first
q+P Q'+P S(P) = S(P)=
E >
2tri e52irtax as.
x=Q+I r:'=Q+l
Thi,s StUn pertains pert,ains to to aa number nwnber of ofaafew few exponential exponential sunis, sums, which which can be not not only only This sum estimated but evaluated immediately. immediately. In lac,t, int,eger I then t,hen e2'" e2 ft'" atJt = fact, if aa is an integer, = 11 and therefore Q+P e 211'i 0. = = P.
E >
•x=Q+1 '=Q,+l
But; is not not an an integer, integer, then t;,hen But if Qa is we have
a e,2ft'ia
:F I,1, and, and, summing summingt,he thegeometric geometricprogres;sion, projession,
2td oP 1 = e. 2iric,P_1 2fta'(Q+l). e2tria a: = . -. e52wia(Q+1) LJ e2tr" Of -— 1 1
Q+P ~ . . .•. . . ,
(10)
_=0,+1 x=Q+1
But U9Ually j,8 more convenient convenient to use equalities but the the following following usually it is use not not these exact equalities estimate: LEMM,A positive integer. int,egcr. LEMMA1.1.Let Letaa be be aD an arbitrary arbitrary real nmnber, number, Q an an int,eger, integer, and and P aa positive
Then
Q+P
> ~~1
t=Q+1
21rias
e
/
~ (PI 211~1I} mm
miu
I
(11)
I
where Uall wh,me to the the nearest nearest integer. int,eger. flail isis the the dis,t,ance distance 1rom from a to
functions of ofaa with with period 1, Proof. Since Since the the both bot.hsides sides of of (11) (11) are are even even periodic periodic fune'tiona then it suffices suffices to prove the estimate estimate (11) (11) for for 00 ~ aa ~ Observing that over over this thi.s interval
1.
Ie2ffia
—
ii = 2sin ira
4a = 411a11,
[rh. I [Ch. I,I, § §1
Complete exponential expon·ential sums sums
2
then under aa
':F 0 from the equality equality (10) (10) we we get Q+P e
—
— ii
—
x=Q+i
For 2~ ~ a ~
e
2wiax
l using this estimate estimate and and for for 0 ~ a < < 2~ applying the trivial estimate Q+P ~
e27fia~
L...J
./ ~
xQ+i z=Q+l
P,
we assertion of of the the lemma. lemma. we obtain obtain the assertion Let aa be be an an arbitrary arbitraryinteger i.ntegerand andqqaapositive positiveinteger. integer. We Wedefine define the thefunction function Sq(a) D,(a) with the help of the equality
0,(0)
= {~
if a == 0 (modq), if a~O(modq).
In the next lemma In lemma the the connection connection between between this function and complete complete rational rational sums sums of the first degree degree will be established. est,shlished. LEMMA2.2.For Forany anyint,eger integer aa and LEMMA
have the equality any positive integer q we we have (12)
Proof. IT If a
0(modq), == o (mod q), then 1
=
1.
Now let let a 'f=. 00 (mod (modq). q). Then Then we get Now 1 q 211'i .!.!. - ~e q L...J qii %=1
1 e21ri a.
= -q1n
.
e
II
-
1
q_1 q-l
211'.-
21ri!.
e
'I
=
o.
followsfrom fromthese theseequalities equalitiesand and the the definition The assertion of the lemma lemma obviously follows of Sq(a). Dq(a). . function Lq(x) willbe be used usedinin the the further further exposition expositionpermanently. permanently. Its Its imporimporThe function 6,(x) will tance is is determined determined by by the the fact fact that itit enables t,ance enables us to establish est,ablish the connection between the exponential exponential sums' investigation and the question of the number investigation and number of solutions solutions of congruences.
______________ ___________ Sums of the first degree
Ch. ch. I,I, S§ 1]
3
Let us consider, for Let for instance, inst,ance, the question question of the number number of of solutions solutions of of the the concongruence q), + xi +... == ~A (mod (modq), (13) + ... +
x:
that Waring's equation equation (2), that is is analogous analogous to to the the question question of of the the number number of of solutions of Waring's which was was mentioned mentionedinin the the introduction. introduction. We which We denote denote the number number of solutions solutions of as the variables . ,, x t run through complete this congruence, congruence, as variables Xj,.. Xl, ••• complete sets of of residues residues to modulus q independently, by virtue of the definition independently, by T(A). T(A). Obviously, Obviously, by definition of the the function Sq(x) Df(X)
T('\)
L"
=
6f(X~
>
+... +
x: -,\).
:l:tJ •• 'JzA;=l
by Lemma Lemma 22 that Hence it follows follows by q
T(A)
1
=
q
a=1
1 1
= -q
q
aA -2n a.x —2,r:— q Le ,
.aA~
q
2,n
27f.---~
L
q .=1 a=1
= I1
. 4(X~+ ••• +xr)
9
tJ
ee
.az"
q
fq
k
.• (~71"' 2. ax" ) k -271'1=-LJe q LJe f • q .=1 :1:=1 f ~
Thus the number number of of solutions solutions of of the the congruence congruence (13) (13) is represented in in terms termsof ofcomcomplete rational exponential sums f
S(a, q) = S(a,q)=Le
27fi ax· f.
x=1
some properties of the function from its definition expose some function bq(x), o,(x), which which follow follow from We expose immediately. 10. The function Sq(x) is periodic. periodic. Its period is is equal equal to q. o,(x) is q. 1°. 2°. If If (a, q) q) ==11and andbbisis an an arbitrary arbitraryinteger, integer, then then the theequalities equalities 6q(az) = q
L Of(ax+b)=l :1:=1
are valid. Ql, the the equalities equalities 3°. Under any positive integer qi, 91
q(qlx) = &q(x),
L 1/=1
S9tf(X
+ qy) + qy) = =Sq(x) Sg(X)
complete exponential Comp·Jete expon·ential sums sums
4
[Ch. [Ch. I,I, §§ 11
hold. 40• 4°. If (qt, equality (qi, q) = = 1, then the equality
is valid. 50 Under any positive integer integer P, which have 5°. which does not exceed exceed q, we we have
{I
P Lb,(X — - y) = = JJ=1
LEMMA3.3.Let Let qq be be an LEMMA
{
if if
0
l~x~P,
P
arbitrazy arbitrary positive positive integer, int,eger, 11
the estimates estima.tes
q—1 9- 1
<x
~
a
~
q.
(14)
q, and (a, q) q) = 1. Tb.en < q, Then
1 aqx
?; II II ~ 2 qlog q, 1 ?; xll,.11 ~ 18 Mlog q, q
q-l
2
q
wh~ere M M is the the largest largest among among the the partial partialquotients quotientsof ofthe thesimple simple continued continued fraction fraction of the number i, hold.
Proof. Let Let m m be bean anarbitrary arbitrarypositive positiveinteger. integer. Under Under xx 1 ~ log (2.x x
-
~
1 using using the inequality inequality
+ 1) -log(2.x -1),
we obtain we 1
L l~~~m
L
;~ >
L
log(2z + 1) — log(2x+1)-
l(~(m
log(2x — 1) log(2x-1)
= log(2m log (2m + 1). 1).
l~x~m
Hence under odd that odd and and even even q, q, respectively, respectively, it follows follows that q—2 ,-2
q—1 q-l
1
2
L -1 ~ log (q 2
L; ~logq,
x=1 a;
x=1
1 1) ~ -- + log q. q
(15) (15),
Since the function 11 4: II is is periodic periodic with withperiod periodqqand and(a, (a,q)q)== 1, 1, then then under odd q Since according we get according to (15) we q—1 I-I
9- 1
1
x=i
q
,-1
2
1
1; II a: II = ~ II ~ II = q
2
q—1 q-l
1
-2-
1
~ II ~q II = 2 q ~ ; ~ 2 q log q.
Sumsofthefirstdegree Sums of tlte firs,t defree
Ch. I, 11] Ch.1,S1J
5
But the the same same estimate estimateisis obtained obt,alnedby by(15) (15) under undereven evenqqas aswell: well:
,-2 2 1 1 =2+2q>! Iir = 2 + 2q E ;- :s; 2qlog q.
, '-1
-....
E.·.····".11 Q,:J: • '==1
,
.'=1
The first firs't assertion of of the the lemma lemma is i.s proved. proved. To prove the second assertion we shall apply apply the Abel we shall Ab,el summation formula q—1 , -I
q—1 ,-I
E Ustl. == Usu, E
q—1 9-1
x=1 .'=1
3=1 .=1
1ft
+ E (u", -— U"'+I) E tim·
tI.
x1
,n=1 ,.=1
, 1:=1
= ~ and u3 Under u. = u. = we obtain = II iW 11 we f
,-I
1 "-1
1
,-1
1
1
1
M
E~IIHII = q.==1 L 11 4lJ3:11 + tn,=1 L m(m+l) 1:'=1 L '-la:l:II-· q q
.=1
(16)
(16)
Let the expaosion continued fr'&ction fraction be expansion of the number : in simple continued (J 11 a -=- 1
91+-
q
q2+• 92+.
1
+-. +—. qn
o
9" Then under IIv = 1,2, 1,2,... 'Then ... ,n , n the thefollowing following equalities equalities take take place: place: (J
P"
-=-., q Q"
8" +.... Q;
(17)
and C). 1== Qo ~ Ql < ... << Q,,= q, Q" ~ where P" and Q" are are relatively relatively prim prime,, 1 Q" = 9, 2MQ,,_1. (q. + + l)Q.,-l ~ 2MQ,,-1. If If 11 ~ m m < if, then determining determining vJI from from the the condition condition 1 .
2Q,,-l
E; m <
1
"2 Q"
and using the equality (17), we get
ax
—
q 110;11 =
—
Since under 11 E; :I'x <
II~: ++ ~;II ~ 11~:II-II~;II· 6,,x
.
Q2
C)
iQ" we have 1
<1 P,,x
Q2
(18)
Comp,lete exponential exponential sums sum,'s Complete
6
[Ch. [Ch. I,I, §§ 11
hence from (18) it follows follows that
ax >1
II a;q II ~ ~ I ~: II· Then using the first first inequality inequality of of the the lemma, lemma, we we obtain obtain
1
m
Qv1 Q.,-l
1 Px Px
L:11-axl-1 ~2 L: q 111f:II ~4Q"logQ"
z=:1
z==l
log qq ~ ~ 8 MQu-llog
But if
16Mm 16 Mm log log q. q.
(19)
iq ~ m << q,q, then then 1
m tn
1
q—1 q-l
~lIa:1I ~~IIa:1I ~2qlogq~4mlogq, q q x=i
and, therefore, not only only for for m m < !q, but for any m < qqas (19) holds holds not an4, therefore, the estimate (19) well. Substituting Substituting itit into well. intothe theequality equality(16), (16),we we get get the the second second assertion assertion of of the the lemma: lemma,:
~
~ 16 Mlog q
1
~Xllaq:Z:11 ~21ogq+ ~
m+l
2
~18Mlog q.
Now we'll we'll show show how howthese theselemmas" lemmas,containing containingquite quite aa little little information concerning Now exponential sums, sums, enable enable us us to to get get nontrivial nontrivial arithmetic results. exponential q, P2 Let (a, q) PI ~ q, P2 ~ q, and T be be the the number nwnber of of solutions solutions of the the congruence congruence q) = 1, P1 aX1
(modq), == a:2 (mod q),
(20)
If PI P1 or or P2 P2 equals q, then, If then, evidently, evidently,
T=
q
The question question becomes becomesmore morecomplicated, complicated,ififboth bothPIP1and andP2P2are areless lessthan thanq.q. In In this this The case, itit can can be be shown shown that that case,
181
~ 1,
(21)
where M M is the largest where largest among among partial partial quotients quotients of of the the simple simple continued continued fraction of of the number :. the
General propt!rties of complete sums
Ch. I, § 2)
7
Really, using Lemma 2, we obtain
Hence, after singling out the sununand with z = q, it follows that
T
1 = -P t P2 +R, q
(2'2)
where
Thus the problem concerning the number of solutions of the congruence (20) is reduced to the problem of the estimation of Weyl's sums of the first degree. Using Lemma 1 and observing that 11-: II and II ",t: II are even perio,dic functions with period q, we get
IRI
~ ~ ~min (Ph 211~11) min (P2' 211fll) 1
1
1
1
~ 4q l
1
2
2
Hence according to Lemma 3 it follows that
IRI ~ 9 Mlog2 q, and by (2'2) this estimate is equivalent to the equality (21).
§ 2. General prop,erties of complete sums As it was s,aid above, the sum r
SeT)
= L e21fi /(z)
(23)
%=1
is called a complet,e exp,onential sum, if under any integer x for fractional p,arts of the function f(x), the equality {/(x + r)} = {/(x)} is satisfied.
____________
Comp/e,te exponential expon,entialsums sums complete
8
[Ch. [Ch. I,I, §§ 2
sums. Let . ,,an be integers and We shall expose expose some some examples of complete complete sums. Let a1,. at, ... We cp( x) = = a1x at x +... + ... ++ anx R • Since, obviously, obviously, .
(x
+ q)1I == a" x"
(ii (II = = 1,2,... 1,2, ... ,n),
(modq) (mod q)
thefollowing following congruences congruences hold: hold: then the n
fa
L:a,,(x+q)" == L:allx" >a,,x" (modq),
,,=1
,,=1
cp(x + + q) q) == ep(x) (uiodq). (modq). under any any integer integer ax But then under
= q
q
J
and, therefore, therefore) the sum q
S(q)
=
q
q
e
q
= which was called called aa complete rational sum sum in the introduction, which was complete rational introduction, is is aa complete complet,e expoexponential sum in in the thesense sense of ofthe thedefinition definition (23). (2,3). Now exp,onential function Now let let us consider a sum with exponential rr aq:': S(r) " " e211'iS(r)=LJ m,
(24)
2:=1
and r isis the (q,m) m) = 11 and q' where the order order of of qq for for modulus modulus m. Let Let q-l where (a, (a, m) m) = 1, (q, (modm). m). Then Then using the congruence denot,e the solution solution of of the thecongruence congruence qx qx == 1 (mod congruence denote (modm), m), under under any integer xa we qT == 1 (mod we obtain faq5 {aq:+r} = {~~}.
and the sum (24) iSla Therefore rr is Therefore is aa period period of of fractional fractional parts parts of of the the function function ~ and complete complete exponential sum. properties of from the the definition directly. Expose some properties of complete complete sums, sums, which which follow follow from 0 The magnitude of the complete sum (2,3) (23) will will not not change, change, if if the • The complete exponential exponential sum 110. summation variable variable runs runs through any any complete completeset setof ofresidues residuestotomodulus modulusTr in,stead instead sUIIUnation T]. of of the the interval interval [1, [1,r]. {f(x)} = = Really, since {f(x + r)} r)} = {f(a:)}, {f(x)}, then under ax == yy(modr) Really, since {f(x + (mod r) the the equality equality {f(x)} holds. But then {f(y)} holds.
=
Gen-eral comp,/et. sums General properties properties 0.( of complete
Ch. ch. I,I, §§ 2]
99
and the totality tot,ality of of the thesummands summandsof ofthe thesum B'urn(23) (23) isisindependent independentof ofwhichever whichever comcomincongruent residues residues to to mQdulus modulus rr is run by plete set of incongruent by the the summation summation variable. variable. 2°. is an an integer integer and and nn isis aa positive positive integer, int,eger, then then for for complete complete sums sums 2°. If (A, r) 1, pJJ is
=
the equalities r
r
Le
21ri 1(:1:)
x=1 nr
Le
21ri f(x) I(x)
=L
e21ri /().:.;+p) ,
(25)
2:=1 r
= =nL
x=1
e21ri 1(:£)
(26)
:£=1
hold.
The first among among these these equalities equalities is a particular particular case case of of the the property property 10, 10 , because because (A,r) r) = 11 the under ('\, the linear linear function function Ax AX + pp. runs runs through through aa complete complete set set of of residues residues to modulus r, when i-. The second when x runs runs through through aa complete complete residue set to modulus T. 0 equality follows followsfrom from110 as well, well,for for under under varying varyingfrom from 11 to to n"r equality as nT the summation summation variable runs runs n times variable times through through complete complet,e residue residue set to to modulus modulus i-. T. 3°. If sums
r
Le
and
2 11'i
/2(X)
(27)
x=1
:.:=1
complete, then then the sum are complete,
Le T
21ri / 1 (x)
Lr e
2 11'i (/I(X)+/2(X» (f,(z)+f2(x))
(28)
x=1
is complete also. also. . Really, follows from Really, itit follows from completeness completenessofofthe thesums sums(27), (27),that that fractional fractional part,s parts of the functions flex) Ii (x) and f2(x) functions f2(x) have have the same same period r:
{fi(x + + r)} = {flex)}, {fl(x T)} = {fi(x)}, But then
{f2(x + r)} = {f2(x)}.
{fi(x {flex + +r)r) ++f2(x 12(X + +r)}
{fi(x) ++12(x)) = {flex) /2(X)}
and, therefore, the sum sum (28) (28) is is aa complete complete exponential exponential sum.
THEOREM1 1(multiplication (multiplicationformula). formula). Let Let under integers TUEOREM
{f(x)}
x
= {flex) + ... + f,(x)},
(29)
where fractional fractional parts parts of the functions Ii (x), (x),.... where functions /1 ,, f.( z) are periodic periodic and their periods . f8(x) r1,. .. relatively prime prime t,o to each each other. other. Then are relatively Then the equality .
r8 Tl, ••• , T,
L
$ B
Tl ... T,
x1
x=1
holds.
e2ri /(,;)
= = II [f
r"
L
v=1 ,,=1 xp=l
e2 11'i /.(,;.)
(30)
[Ch. [Ch. I,I, §§ 22
Comp,/ff,ta exponential expon,ential sums sums Complete
10
assumption by the assumption Proof. Since by
{f,,(x
(v=1,2,...,s) (v = 1,2, ... ,8)
+ T.,)} = {j.,(x)}
and by (29) (29)
(31)
{/(x ++Ti Tl .. •••. T,)} = ={f(x)}, {j(x)}, {f(x
then all then all the the exponential exponential sums B'ums in in the theequality equality (30) (30) are arecomplete. complete. Let variables variables residue set,s sets to to moduli moduli T1, Ti,.••• a: 1, ••. ." ,, x. run independently through complete complete residue . . ,, T., recoprime, then then the sum spectively. 1"1, ••• T. are coprime, spectively. Since Since the i-i,. . . , r8 •
+... + Tl ••• T,-I X • r3, and, therefore, runs through through aa complete complete residue residue set set to tomodulus modulus r1 "1 ..••. T., :l:IT2'" T.
.
L:
r1 ••• r,
e2tri 1(,;) = =
z=l
L: ... L: e 11'i I(~t T2 ....,.'+...+Tl ... T,-t~.). '1'1
'1'.
(32) (32)
2
2:,=1
:1:1=1
and (31) (31) Since by (29) and ~
{f(xir2 . . T8 {f(XI T2 .•••
X ,)} = T,_1X5)} = {II {fl(xiT2 +... + f8(Ti + Tl • • • T,-I + ... + +·.. (Xl T2 • • • T,) +···+ f.("1 .... T,-lX .. )}, . . .
. .
. . .
(32) may be rewritten in the the form form then the equality (32) T1 ... T ,
L:
r,
"'1
e21ri /(3:)
••• L: e21ri (/1(:1:1 r = L: ...
XjI 2:1=1
:1::=1 5=1
2 ...
.,.,)+...+I,(Tt ... r. - l s '».
s,=1
Hence, using using the the property (25), Hence, (25), we we obtain obt,ain the the multiplication multiplication formula: formula: rl"'.
rt ..."',
L
Z1
z=1
e21ri /(z)
a8
= L: ... L: e21ri (!t(Zt)+ ..•+/.(z,» == II [J = Xj=l :l:t=1
r.,
L: e >
21fi /.,(a:.,).
v1 z,.=1
~,=1
,,=1 zp=1
the study study of complete In a number number of of cases, cases, the the multiplication multiplication formula formula simplifies simplifies the sums. As an sums. an example example of of that thatwe we shall shall consider consider complete complete rational rational sums. sums. Let cp(:t) = a1 atXx+.. arbitrary polynomial polynomial with with integral integral coefficients, coefficient,s, + ..., + a..x be an arbitrary factorization of q, q, and numbers , n be chosen to s.at,isfy qq = nwnbers b1,.. b1 , •••. ,b = p~l ... . . . p~' prime factorization the congruence ft
=
a, 11 - bIP2Q2 ... . . Pa
+ + ·...· · +PI
01
a'-l b . . P.-I. ...
((modq). mod) q.
(33)
Then for complete complete rational rationalsums sumsthe thefollowing following equality holds holds q
s
=JJ
2S1 •
(34)
General properties of General 0.( complete complete.sums s,ums
Chi I,I, §§ 2] 2) ch.
11
Really, since
I ço(x + q) q
flqf'
and by (33) (3.3)
+
f
f p(x)
j
—
()
+ ... + b8~(X)}1
fb1
Q
1
< (l~v~s) (1 <
J'
{f) ~(X)}={bl~(X) q ) PI Pi I..
f
0'1
Q
P.' P8
,
)
then applying Theorem 1, 1, we we obtain the the equality equality (34). (34). The multiplication rational sums multiplication formula formula (34) (34) reduces reduces the investigation investigation of complete rational sums with an arbitrary sums with a denomarbitrary denominator denominator qq to to the theinvestigation investigation of simpler sums denominator being aa prime. inatorelng b · aa power power of 0f prIme. ' • As another example on the multiplication we shall shall prove prove the the equality As multiplication formula we q—1
q—1
= (1 —
2 1t
4q,
e
qq
2), == 1 (mod (mod2),
(35)
which Consider the sum which will will be be needed needed later later in studying Gaussian Gaussian sums. sums. Consider .x2
4q
S=
e
Single out out the summands, fur for which which xx isis aa multiple multiple of ofq,q,and andgroup group the the others others in four four Single sums: s'ums: qx2 2,ri qz2 — S = LJ e ..
4
~
x==1 4
~
= LJ
:.:==1
21ft -"-
•q2
. 9:1: 2
q—1(2 / 2,rz.— ,-1 2' 2,rt (2,-z)2 ~
+ LJ
e
4,
.
+e +e
(2q—x)2 4q 4,
+e
1f1 - - -
2'
(2q+x)2 (2,+x)2 2,r* 11"1 - - 4q 4,
+e
(4q—x)2 2' (4,-X)2) 2,r* 71'"
---
4q 49
z=1 ,-I
~ T+ + 4 LJ e
211"ee2'" 4
J:2 71"1 -
. :r: 2
211'1-
4q•
(36)
4, •
z=1
On the other hand, On hand, according according to the the multiplication multiplication formula 4
q
xj=1
X21
>
where b1 4b22 == 1 (mod 4q). Since Since this congruence bI and b2 b2 satisfy s,atisfy the thecongruence congruenceqb1 qb1 ++4b (mod4q). is satisfied satisfied under b1 = qq and is 61 = andb2 b2 = = i(l1 -— q2), then then after aft,er singling singling out out the summand summand = qq and we obt,ain obtain with x2 X2 = and replacing replacing X2 3:2 by 23:, we 44 ~
. 61 X : 2,r, 211'14
S =LJe =>
T
4 4
= >Je =LJe x=1 x==l
q—1 . 61 X : ,-1 2,r, 21f1-~
+LJe +
4
qx22 . qx
—
271'14
4
44 ~
e + +LJe :1:1=1
LJe >
. 462x 4b2x22
271"1--
,
z1 :.:=1
xj=1 x1=1
2:1=1 ~
4
~
q—1 , . 9a; ~ ,-1 . x2 — 271't-~ 271'1-
— 4
LJe
x1 x=1
q
'I.
(37)
complete exponential Complete expon·ential sums sums
12
(Cl,. [Ch. I,I, §§ 2
observing that that Now observing ..4
2' e 11'1
L
2 tXl
= 2 (1 + i').
T
xj = 1 :&:1=1
from (36) and (37) (37) we we get the the equality equality (35): (35): q-l
Le
21l'i L
2
'=
x=1
4
,-1
:E e 2 (1 + if)
.
3:
2
9-1. x 2
21ft -
= (1 -
4,
if)
2:=1
:E e
21M -
4,
x=1
Now we we shall consider a certain certain class class of of exponential exponential sums, sums, whose whose nontrivial nontrivial estiestimates can be easily obtained by by the reduction of the the problem problem to to the estimation of mates reduction of complete sums. Let fractional fractional part,s parts of aa function f(s) be Let function f(x) be periodic, periodic, their least period period be equal to r, 11 ~ P
= =
P Q+P Q+
:E
f(z) e2 7\"i /(x)
(38)
:t=Q+l
is ~alled incomplet,e exponential exponential sum. sum. called an incomplete
ThEOREM2.2. THEOREM
For any incomplete exponential sum S(P) defined by the equality equality (38), (38),
the estimate
+log r)
max holds.
Proof. From From the theproperty property(14) (14) of ofthe thefunction function öq(x) 6,(x) it follows follows that that under under P ~ ~T
L
Q+P
8,.(x -V) =
{Ifi
if if
0
v=Q+1 II==Q+l
Q+l~x~Q+P) Q+P<X~Q+T.
Applying this discontinuous factor factor and using Lemma 2, 2, we we obtain obtain Applying Q+P
L .e
f(x) 2 1l'i I(x)
= =
x=Q+1 a:=q+l
Q+r
:E
Q+P
Dr(X — - y)
5Q+1 y=Q+l
x=Q+1 x=Q+l
1 — ;. =
L
e21r'i f(x) f(x)
:Er ( :E
(Q+P
a=1 4=1
all) Q+r L
e -211'i T
y=Q+1 lI=Q+l
(
)
e2 11'i /(:1;)+": •
x=Q+l
a:
fractional parts parts of of the thefunctions functionsj(x) f(s)and and ? have the Since fractional have period period r, T, then then by by (28.) (28) the latter sum sum in in this thisequality equalityisiscomplete complet,e and, and, therefore, therefore,
L >
Q+P z=Q-4-1 x=Q+l
e2 11'i lex)
r ( = ;.1 :E ( a=1 t.t=1
L
Q+P
y=Q+1 y=Q+l
4
11 )
e -211'i "'T
Le T
I z=1
J:=1
2lri ( /(:1;)+
a: . )
Gaussian sums Gaussian
Ch. 4I, §§ 3) 3J ch.
13 13
Hence, 3, we we get the theorem theorem assertion: assertion: Hence, using Lemmas 2 and 3,
~
E x Q+1
S~l
e27rij(x)
./.! ~ ~ .271'i(/(xl+ rx ) tl
~
T
1
1 T
nun
1
(p.) 211;11 _1_) r
1)
T
~211"i (/(x)+!.!) ~ mm. (
~ - max
~
•
~ z~e:
L..-J e
l~Cl('" x=l
max max
t
L..-J mIn P,
r
x
e2 )1'j (f(x)+-r
)
l(a~T x=1 ~=1
«=1
211 !oIl r
(1 + log T). + log r).
§§ 3. 3. Gaussian sums
A Gaussian Gaussian sum is is aa complete complete rational rational exponential exponential sum sum of of the the second second degree degree
Ee ,
S(q) == Seq)
2'lri ax
2
q,
x=l
Gaussian sums sums as as well well as as the positive integer and (a, q) is an arbitrary positive q) = 1. Gaussian where q is first evaluat,cd precisely. precisely. We We first degree degree sums sums considered consideredinin the the first first paragraph paragraph can be evaluated shall st,art start with aa comparatively shall compa.ratively simple simple question about the evaluation evaluation of of the modulus modulus of such sums. THEOREM THEOREM3.3.For Forthe the modulus modulus of of the the
Gaussian sum, sum, the the following following equalities equalities hold Gaussian
true:
IS(q)1 =
vq fi {
if q == 1 (mod 2), if q == 0 (mod 4), if q == 2 (mod 4).
Proof. Let Let the thecomplex complex conjugate conjugate of the sum 5(q) Seq) be be denoted by 2 IS(q)1 JS(q)12 = = S(q)S(q)
qq
. a,2
=
,=1
2 ' ax ax22
qq
= L e -2.t TT L
Seq). Then we we get
e .t T.
x=l
Utilize Utilize the the second second prop,erty property of of complete completesunlS sumsand andreplace replacex xby byxx++ yy in in the the inner sum. Tllcn Then after sum. after interchanging interchanging the the order order of of summation, sUlnmation, we ,ve obtain q q . a(x+,)2_ q q a(x+y)2—ay2 a ,2
IS(q)I2 =
IS(q)1 2
L Le y1 x=1 1J=1 21=1
2ft'1
q
9
q q
• ax ax22
q q
~
211'1-~
x=1 x=l
,=1 y=l
= L..-Je =
q
L..-Je
2axy . 2a~1I
211'1--
,
Complete exponential Comp/e'te expon,ential sums sums
14
[Ch. [ch. I,I, § 3
by Lemma 2 it follows that Hence by follows that 99
2 IS(q)1 == q IS(q)12
2.
'E e •• f
4 2:
2
o,(2aa:).
(39)
~=1
Since are coprime coprime by the statement, st,atement, then under under odd odd qq the the only only nonzero nonzero Since a and q are summand sununand of of the right-hand right-hand side side of this equality equality is is the summand summand obtained obtained under q, and therefore x = q,
.,,2
= qe 271"i-'-' q IS(q)12 = IS(q)1 "= q. (40) is even, But if q is even, then in in the the sum sum (39) (39) there there are aretwo two nonzero nonzero summands summands which which are obtained under under xx = ~ qq and and a;a = obt,ained =q.q. Therefore, Therefore, ob:serving observingthat that under under even even q, from that a is (a, q) q) = 11 it follows (a, follows that is odd, we we get 2
IS(q)1 2 = q ( e
21fi at 4
) +1) + 1
( 271'i!
= q e
4
) { +i) + 1 =
if q == 0 (mod 4), if q == 2 (mod 4).
2
0q
The theorem theorem assertion assertion follows follows from this equality and and (40). (40). Note that that in Note in the thecase caseof ofodd odd q, q, the theassertion assertionof ofTheorem Theorem 33 is is valid valid for for sums sums of the the general form, form, too. general Indeed, let us show that under Indeed, under (2a2, (2a2' q) = 11 the the equality equality
=
aiz+a2z2
q
(41)
holds. Choose Choose bbsatisfying satisfying the thecongruence congruence 2a2b 2,a2 b == al (mo,d q). q). Then Then obviously, obviously, ai (mod a1x alx
+ a2x2 + a2x2 == a2(x a2(x ++b)2 b)2— - a2b2
(mod q)
and, therefore, therefore, q
2irt
aix+g2x2
.
=e
q
—2,n
— a2b2
q
2iri
a2(x+b)2
equality (41): (41): Hence we obtain the equality q
9
=
=
Let as consider properties of of Gaussian Gaussian sums. sums. We We shall shall assume assume that consider the simplest simplest properties = p, where where pp > > 22 isis aaprime. prime. It is is easy easy to show show that under a 0 (mod (mod p) p) the following equality holds: following holds:
=
qq
p ~
L...Je
2:=1
2 . ax 211'1-
P
p-1 . ax ~ (X) 21fl-
=L...J x=l
- e P
",
(42)
elr. Ch. I, I
15 15
Gaussian Gaussian sums sums
3] 3)
1, then x2 where Legendre's symbol. symbol. Indeed, if sx varies varies from 11 to topp— - 1, %2 runs (a) isis Legendre's where (.I.) thcough values of quadratic residues of since tYlice th~ugh values of quadr'atic residues of p, and twice
(x\ f2
jf is a quadratic residue) if :cxisaqnadraticresidue, if ~x is 8,a quadratic quadratic non-residue, non-residue,
—
0
—
then
P1
. as'
P
=
2s. ax2
s1
s—I
p—I
[i +
= 1+
IlezicSobserving observingthat thatby byLemma Lemma22under underaa==00 (mod p) Hence 1+
P as ,-1 21ri!.!. 1fl7
Ee
,
= p6,(6) = 0,
.'=1
we obtain the the equality equality (42). (42). Now we weshaJIshow shall showthat thatunder under(Ja = =00 (mod Now (mod p) p) ,
.
..1
LJe211". --,.-
" <......" ' .
(..... )""
= '.' -
a.. .
•• 2
L.,e211" -, ·
(43)
""'.................' .
. ' = 1 ' · .=1
=
Indeed, multiplying multiplying the equality observing that. that ax equality (42) by (sf) 11 and observing az runs through complete set set of of residues residues prime prime to to pp when when :zx runs runs through through such such aa set, we get aa eomplete
=
=
because by (42) The equality (43) follows, follows, bee,ause
,-1 (.,. ). .
.,
,
.•'
""'. . . . . . . . 2 rri -p L.." - e2tri '=L.,e
""'................. .'. .
.' .:1:.
• =1
P
.=1
•
shall show show that knowing the modulus of aa Gaussian sum it is Next we we shall knowing the modulus of Gaussian sum is easy easy to t,o evaluate evaluate its value to within wit,hin the the accuracy accuracy of the sign. Indeed, Indeed, let ,
S(P) = S(p)
=
. • •1
Eel.',. • =1
Then, using the equality equality (43), (43), we we get get
1). L.•, ..
(1)
p p II 2.-1 -.2 (.' ..... -"If. ..... 2n -.2 .= = . -S(p). S(P)=2> ' = - ·······.e '=
-
• =1
P .• =1
'.
P
Complete expon-ential exponential sums Comp,/ete
16
Hence a£t,er after multiplying by
[Cli. I, § 3 [Ch.
that S(p) it follows (-,1) S(P) follows that
=
S2(p) = value 1 under p Now, since (-,1) takes on the value obtain p == 38 (mod 4), we obt,ain —
S(p) =
±v'P {I ±i v'P
== 1 (mod 4) and the the value value —1 -1 under
if pp == 1 (mod 4), if if p == 3 (mod 4). 4).
44 (44)
The question question about about choosing choosing the the proper proper sign sign in in these theseequalities equalities isis more moredifficult. difficult. Its solution was found by Gauss. A A comparatively comparatively simple proof of the Gauss theorem theorem given in the the paper paper[9] [9] isisexposed exposed below. below. THEOREM4.4. Under Under any any odd THEOREM
prime p the the following following equalities are valid: valid: if if
p p
== 1 (mod 4), == 3 (mod 4).
Proof. Let first that Proof. Let us us show show at first ee
2 211'12iri.2:
4,4
(45)
Indeed, apply Abel's Abel's summation summation formula formula p—i p-1
p—i ,-1
L
(u5 (u~ — - u5_1)v5 U z - l )V z =
=
x=9+1
under q = =
[v'P]
L
z=q+i :1:=,+1
u5(v5 v5÷i) u~(V~ -—V~+l)
+ + Up-l VI' -— U,V,+l UqVq+I
and U:.c = e u5=e
z(z+1) • :1:(:1:+1) 271"1-4,
vz= V:r:
11
=.sin :1:' sIn 1f 21'
,
.
Since, obviously, .1'-1
=
211'1-
Up-lVp=e
and
2
U z -— Uz-l
:t 2,rz 2.,.... -—
=e
4,
(j (
4 4
p-l
= =(-1)
• X • Z 2,n —) 271"1 -— -211'1 4P e 4, -— ee 4, I
4
j
-
2
= 2ie
.2: 2 2,r, 2#1
— 4,
sin
xX 'If 2p
,
(46)
17 17
Gaussian sums Ga'USSM,ft
CIt. 1.1§ 3]
then from (46) it follows follows that
E
2i
2tri
e
.E..
=
:;
./i<~<,
2w, 21ri
e
_=9+1 r=q+1
+ (-1)
(i~_ i) —
.(:;1)
(.·.···.sin .• ".
q(q+i) 2ft ,(,+1)
e2w, e
,-1 -—
22
that under 1 ~ a;x But then, observing observing that
4,
• SI,n
9+ q+i1 •
sin 7r2P ir— 2p
~ pp — -
11
I ~..!.. — sin 1!±!.I = sinsin ~..!.. 1
1
sin sin
-
we get
1
'..
2,
2
22
E e ,ji<-<,
e
-
2, —
SIn 'II" 21'
211"; ~I
1
—i "-1
"
m,n
1
(....
E .. ..!- - . .'=,,-,. ......, sin,
4p:e:;
" 1•..+1 ).
Slfl II.n "'-;;-
2p 2,
1
)..
.:+1 sin 'If - 21' .....
.-..1.1 . II,n "" 2
11
1!±!. ' 7r 21'
+1
2
+ q+i1 =. +. 9+ 9+1· q+1 smir— sing— SIn 11" 2P sin 1r 2P 2p 2p Since
22 --.u..----l VT
sin 7r__ sinir—
2,
~
2p -.-.-
qq-,+1
< 2 vIP.
the estimate estimate (45) (45) follows. follows. Now, observing that Now. observing that
2ft'2w,— i 4,. = Eeos,,"; ( 2 +sin"";2).• .• >,"-1, E e > p p (.:<"IJ P P .2
fte(1—2) Re(l-i) 1
l(z<'" . .
and using the estimate estimate (45), (46), we we get get P—i 2", ~t ,,-1 2ft',•• 2 Re(l-i)Ee 4'~Re(l-i) E e 4,_ — (1(1—i) e4P i) > r=i .==1 1(_
E
> vIP Let p
1-
V2 vIP > - vIP·
(47)
== 11 (mod 4). Then Then by by (44) (44) P 1'.
.x' ,;1
2 ..
Ee tr' p =
.=1
±vIP.
(48)
[Ch. I.I, S [Ch. I3
Complete exponential sums
18
i.e.• fuis sum is is aa real fe,a] number number and, and, therefore, therefore, i.e., this "
p—i 1'-1
•• 2
.•'
.. . ".................' . 2..1 = '=l+ReL-,f!. p
".. . . . . . . . . lIn -
L-,e • '~1
Since by (35) under p
•
s=:zl
== 11 (mod 4) ,-1 p—i 2", L,I
Ee
.'
.'
= (l (1 -
P
,-1 p—i
Ee
i)
0. .
2
211"1-
4" ,
s~l
.=1
then using the estimate estimate (47) (47) we we get ,
E .
.x2I
2ft'" !.... e P
.
p—i ,-1
'.'
L
.' .". ".
= 1 + Re (1 -
i)
• =1
.
re 2 211't -4, e 4p
> -..jj .
.=1
(48) the first By (48) ms't assertion assertion of the the theorem theorem is is proved. proved. H p == 3 (mod 4), then by (35) and (44) (44) If V
,. 1 " i'
i
0. .
p..- 1 .. 2 " 2ft'i -
2
2."L-, e II
±v'P.
=
L-, e
.'
"= (1
z=)
s'==l
p—i II. -1 22 Wl4p, .• 1 11'" 4, )
. + i). " L-, e .=1
(49)
and as above above we we get p—i .,1 ,-1 .•1 1 ,,-1 2 ' 1 4p ' " ' e.2..1 - I' = Re'. -+ .....•.........• e 2trt -, = Re -1 L-, -I "L-, e 1FI4, i,,' i .' i
.E,·:. '..
,0
'I
0
.=1
.'=:zl
,.'
.==1
,-1 2"i .2
4, >-v'P.
=Re(l-i)Ee • ,=1
By virtue of the the first first equality equality of of (49), (49), the thetheorem theoremisisproved proved in i.n fulL full.. Note that the Note the assertion assertion of of Theorem Theorem 4 .. can ean be be written written by by means means of of one one equality equality (mod 4) 4) and p == 3 (mod 4): without singling singli.ng out the the cases cases of p == 11 (mod 4): p ~ 2••
L-,e
.,2 II
p—i ("-1)1
2
=i
2
v'P.
(50)
.~l
Hence by by (43) (43) under any (Ja Henee
¢ 0 (mod p) we obt,ai,n obtaln p
,..i
{.·.,-1 ). 1 (.".' -.... ).•. . L-,e CIS' I' =i 2 .'=lP "
p...
.
....
21F. •
---
a
v'Po
(51) (61)
19
Gaussian sums
Ch. ch. I,I, § 3]
equality (50) (0) was the assumption assumptionthat that pp isis an an o,dd odd prime. prime. Let The equality was proved proved under under the that the same equality i8 valid for Gaussian sums with an odd the same equality is valid for Gaussian sums with an arbitrary us show us show denolfliilator q: denominator q, '"
LJe
•x22 2irt.2: 211'1f
(q—1 ('-1)2 2
= =i
2
~.
(52)
%=1
At first we shall consider sums of the form '
2,ri
S(a,pa) =
is aa positive positive integer, pp an odd Using the odd prime, prime, and and aa prime prime to to p. p. Using the induction where a is
with respect to to a, with respect (t, it it isis easy easy to to show show that a
(j
S(a,pa)
=
(pa_l\2 a
j"
2
(53)
/
equality coincides coincideswith withthe theequality equality(51). (51). Under Under aa = 2 it Indeed, under aa = Indeed, under = 11 this equality t,akes summa.tion variable variable takes the form form S(a,p2) S(a, p2) = = p and is obtained with the help of the summation replacement:
,2 P
2
2
Le e
21ri 2iri 4%2
1'2
x=1 2:=1
PZJ p-1 2iri 211'i 4(,+,%)2 p—I 1'2 C
p
= =L
Le
y=l z=O 1J=1 %=0 PP '"
,2
.•
2,r, 211'1-
= P LJ e
P
= =
2
P P
Le
211'i 6:,2 P1 ,-1 2,rj fL.
Le
P2 1'2
e
e
.. 24'% 2ayz
21M
P-,
z=O %=0
11=1
8,(2ay) 6,(2,ay) = = p.
,1:==1
Let for a certain Let the equality (53) be proved proved for cert,ain aQ prove it for for It a ++1. prove it 1.
~
2 and all lesser lesser values us valuesIt.a. Let us
Obviously ,,01+1
S( a,p0+1)
pa pQ
2
211'i 4X 2,ri -a-—
"e = '>e LJ
pCl+l
= '" LJ '" LJ e
= LJe = '"
y:=1
pa+l1 + Q
rb
y=i ,=1 z=O .2:==0
x=1 pa pOl
a(y+paz)2 ,-1 p—i 27ri 2,ri a.(y+pCr %)2
211'1 2iri a.,2 ,-1
.. 24y% 2ayz
'"
211't - -
pa+l 0+1 p
LJC
%=0
P
pa pOl
= P LJe =p>e '"
211'i 4,2 2,ri P01+1
6,(2ay).
11=1
Observing that that in the Observing the last last sum sum the theonly only summands summands with with yy multiple multiple of of p P do not equal equal
[Ch. [ch. I,I, § 3
complete exponential Comp-/e-te exponential sums sums
20 20
zero and that p2 p2
(mod 8), we obt,ain obtain == 11 (mod 2 . • ,2
,P a-l
S(a,pa+1) =p
L
e
""1-pQ_l
,,"-1 =pS(a,pO-1) =pS(a,p°')
1/=1
= =
a ( -P )
0'-1 (,0-1-1)2 0-1 -'- - 1+i 2 P 2
r p2.
'_I)2 0'+1 a+i (Pa4 a-4-i a)O+1 .(",,+1_1 a tj
=( -
2 2
P
equality (5-3) (3) isi.sproved The equality proved in in full. full. Now let qq > 11 be Now let be an an arbitrary arbitrary odd oddnumber. number. Write Write the theprime primefactorization factorization of of qq in in ai,.... from the congruence the form form q = pr t ••• determine at, congruence .. . P~' and determine .. , a8 from
,a.
(12
al]J2
••
+ ... + PI
·Psa,
0'1
0.-1 1 ., 'Ps-l as =
( mad PIO'l
ex,)
I I IPS
•
(54)
We shall shall assume assume that that in the product pfl ... We powers of the primes are .. . p~' the odd powers put on the the first first rr places. places. Since Si.nce the the equality equality (53) (53) can be rewritten in the form form
,-1)2
S(a,pa) = = S(a,pO')
a ((P_i)2 ( p )!! i 22 pp22
4f
{
aa
p2
if
a0' == 1 (mod 2),
if
Q
== 0 (mod 2),
then using using the the multiplication multiplication formula formula (34), (34), we we get q
a
2irs —
=
x1
v=1
_ .~
=
...
a,I
ar
I
vq ( ) .,. ( ) t
( Pl-1)2 -2+...+ --
(Pr-l)2 -'-2-
Pr
PI
From the determination determination (54) (54) itit follows follows that a,, .
and since 0'11
then, obviously, under 11 (
PI .,. a., ..
p"
.
.
__fl(mod2) {I (mod 2) = 0 (mod 2)
~
v
~
1
(mod p,,), if 1 ~ v ~ r, if r < v ~ s,
r
'Pr) = 1, 1
pp
•
(5-5) (55)
21 21
Gaussian sums Gaussian
Ch. 3] Ch. I.I, §§ 3]
(PIa 1
(aPr r
•••
)
IT (Pi) = ITi (Pi) (p~).
=
)
=
Pk
j,I:=1
=
Pk
j,k=l
j
j:#k
(56)
PJ
Determine the quantities ,ôj Pj and 'Yr by the equalities ~ 7r = L., 'Yr
= p·-l1,
Pi = T'
PiPit.
j.Je=l
j
residues in in the form recipro,city of quadratic residues Then using the law of reciprocity
= i 2PiP. (;~) (;;) = (-l)PiP. =
(j
~ k),
from (55) (55) and and (56) we obtain from we obt,ain
ITEl
(;~) ... (;:) = \PrJ = \P1J
i2~r
i 2PiP• = = j27r
jk=1 j,k==1
,
7
2
q9
L: /'" ~
= i~+ .. ·+P~+2"r,;q = i(Pl+...+Pr)2 y'q. =
(57)
:1;=1
Since, obviously, tI
(th ,.,1
(
_1)2 (Pi ...Pr -1) (PI -1++···++ Pr - 1)1)2 = (PI
a )2 _= (Pi +... + fJr +···+ 2
== (p~l
Pr
1
2
2
.
2
...:~r -1) == (q; 1) —
.
.
.
-
2
2
2
(mod 4), (mod 4),
then from (57) (07) it follows, follows, that for for any any odd odd qq the the equality equality (52) (52) isis valid: valid:
L:e .x2f == i(Pl +...+Pr)2 .jq = ij ('-1)2 ,;q . .~2
qf
q—1
2
-22
211"1
z=1
The exact value for an an arbitrary even value of Gaussian sums B'urns is known known for even q, q, too. too. If qq == 2 (mod 4), then according to Theorem 3 the Gaussian sum vanishes. (mo,d 4), according Theorem 3 the Gaussian sum vanishes. Under Under q == oo (mod 4) it can can be be shown shown that q
q
L:e
2
27ri x 9
= (1 +i).jq.
:1;=1
Thus the total Thus tot,a} description des,cription of of the the Gaussian Gaussian sums sums magnitude magnitude isis given given by the the equalities equalities q
II
~
LJe :1:=1 —
.... 3 211"1 ~
9
•
= =
Z
(,-1)2 2 _ In
(1
2
yq
+i)A o0
if q == 1 (mod 2), if q=0 if q == 0(mod (mod 4), 4), if q == 2 (mod 4).
(5,8) (58)
_______ Comple,te expon,ential sums s:ums complete exponential
22
[Ch. [ch. I,I, §§ 4
§§ 4. Simplest complete complet,e sums
An appropriate generalization Gaussian sums sums isis aa complete complete rational rational sum of the An generalization of Gaussian form form 2 . ax" g2lri
I> fJ
S(a, q) ==
(59)
11"\ - ' - ,
:1:=1
where aa and q are coprime coprime and and nn ~ 2. 2. In distinction from from the the Gaussian Gaussian sums sums (n (n = = 2), where an explicit expression for for the sums sums (59) (59) under n > 2 > isis not not known, known, but but for for them it is easy to establish the estimates, whose order can cannot not be be improved improvedfurther. further. ItIt is is quite easy whose order easy to obtain the estimate easy to obt.ain P
2 ' a:.l:"
"""'
L....Je
11'1-
(60)
n
P
~=1
where pp is is a prime. where Indeed, let T(b) and and TT be bethe thenumber numberofofsolutions solutions of ofthe thecongruences congruences az's az fl _ Indeed, let T(b) (mod p) p) and and x' b (mod x" == y" (mod p), respectively. respectively. Using Using properties properties of binomial concongruences, we get T(b) ~ d, T=1+d(p—1), (61) T = 1 + d(p -1),
On the other hand, by where d = = (n,p -1). — 1). On by Lemma Lemma. 2 p
p
_
—
T=
p
z,y=1
x,y,z=1 p—I
1
p
>e
2,rs
n
22
p—i
p
1
xx" 2irs—
2
z=i x=1
z=1 x,y=1
Therefore, by (61) (61) • 1 .. -
n
..
E Ee
>
211'; .!!.P
=p(T—p)=(d—1)p(p—1). =p(T-p)=(d-l)p(p-l).
z=1 x=i %=1 x=1 Since by (25) under 11
p— 1 ~ z ~ p-1
az"
2
p
=
"""'
L....Je
•a(:z)" . a(or,;)" 22 211'1--
P
,
x==1
then carrying out the the summation summation over over z, we we obtain obt,ain Prn
— 1) ((p-l)
n 22 2 . ax" ax 2ir,
—
Ee 11"',
>
x=1 :.1:=1
=
1'-1
P
"""'
"""'
= L....J L....Je z=1 %=1 x=1 xzl
.a.t":r:R 22 211'1--
2ir,
P
(62)
Cit. ch.
23
Simplest complete sums sums
1.1§ 4]
we group group t,M the summands summands with with OZR az" Here Here we get and the equality (62), we ~et p
.• ••"
Ee'tnT .~1
22
=~l = 1
p
d
1'-1
,.
Ee'tn p
ET(b) ~l
p—I -1.. ~
,.... 2
ss1 a 2 bxu
p
"..." ~. 2...• -6. LJe I'
2
--=-1 LJ >e2"T =d(d—1)p. = d(d-l)p. p ~1 s=I .=1 ô1 c.
~
(mod pl. p). Then, using the estimate == IIb (mod eSb,mate (61) (61)
" "...
Since tl the estimate estimate(60) (60)follows: follows: d ~ n, the ,
2 ' .,;"
Ee "IT
~ Jd(d-l)p< n~ •
• ,=1
theorem improves The following t,heorem i.mproves thi8 thi.s estimate.
o.
THEOREMS.Let Letn ii~ ?2,2,ppbe beaaprime, (a,p) and(n,p— 1) == d. THEDR.,EM prime, (a, p) == 1,1, and (n, p - 1)
Then
.45n
E e n:., p "
211'"
~ (d - 1)v'P.
(63)
s=1
Proof. At At first first we 'We shall shall consider consider the the case case d = n. R. Using Usi,ngLemma Lemma 2, 2, we we have have p—I p p ,-1, . .,." P p—I ,-1 . ",.n ,p ~ ~ 211".~ ~ 2..a ~ LJ LJ e "= LJ LJ e , = LJ [peS,(z·) - 1] > .,,=1 .s1 x=I
ssi .'==1 x=I v=1
= o.
(64)
.=1
Let 9g be be a primitive root of p. p. Introduce Let Introduce the notation notat.ion
, .' .,.,-1." P
SIll
.
~ 2ft'"
= LJe
'
'
.
• :=1
obtain By (25) we obt,ai,n 49P_l(g5)II .•",-1(,.)"
,p
S,,+n
~
= LJ e
211"t
P
c'==1
and, therefore, therefore"
p
.,.,-1." p P
=8",
1:'=1
,-1 ~
p-l
LJ 5" = --;- (51
,,==1
,-1
E 15..1 == 2
'1':=-1
,
~.'."." .".".' . .' 211'i =LJe
p:
+···+ 5.), (65) (66)
+., .+
1 (1 511' + .. . + 15,.1').
[ch. [Ch. I, §§ 4
Comp,/.,te expon,entia./ sums sums complete exponential
24
1 and ii vrun ag ll - and runthrough throughreduced reducedresidue residuesystems systemsmodulo modulo pp simultasimult,aObserving that ag"1 neously, (64) we we get get neously, by (62) and (64)
p—i
p—I
p—i
p
i'I xI
v=I x=I p—i
p—i
p
2
p
p1
p
v=i
x=i
2
=(n—1)p(p--l).
v1 zi according to (65) it follows, that Hence according follows, that and
But then
181 12 = 182 + ... + Snl 2 ~ (n -1)(182 12 +... + 18n I2 ), + Isn12) 1S112 n(n -l)p +.. + — 1)p— 151 12 = =n(n - (15212 (15212 +... 15 .1 2)
11115112, 15112, ~ nn(n (n -l)p - n~ — l)p—
and, therefore, (n
IS1
12
SI1 8
= Ee
—
1)2p.
27ti
AX"
(66)
Since by definition p
=
:1:=1
"
from (66) we get get the theorem =n then from theorem assertion assertion for the case case (n,p (n,p— - 1) = 2 . ax"
,
Ee !rIp
~ (n
-lh/p.
(67)
x=l
Now we we shall consider the 1) = d, d, where d ~ n. Denote the case case (n,p (n,p— -1) n'enote the least least nonnonR negative residues residues of of xx" and xd x d modulo p by T x and t x , respectively. negative respectively. Observing Observing that quantities Tl, r1,.••• . . ,,T p form form aa permuta,tion permutation of of the the quantities quantities tII,. the quantities , p we obt,ain 1 , •••. ,t .
2wi— ' =e LJe
arx 2 ' ara:
P P
LJe
"""
11'1 -
P
P P
=
"""
2 ' .ta:
71'1 - '
P
x=1
xsl
and, therefore, P ~
LJe
x=1
211"i.ax' ax" 2ir,— " P
P ~
= LJe =>e x=1
.azd
211'i
axel P
p.
(68)
25
Simplest compl.,te complete sums sums Simpl.st
ch. ,, Ch. I, § 4]
then by Since (d,p (d,p — Since - 1) = d, then by (67) ,p
Ee
2 '.45d 4X~
Tn
~ (d -1)v'P.
T
~=1
(68) the theorem By t.heorem is is proved proved in in full. full. By (68) Let's discuss the question about about the thepossibility possibility of of further further improvement improvement of ofthe theesti-. estimate (63). (63). Choose the quantity quantity a in such aa way way that that mate C'hoose the j,n such P
e
P
2ff,—
= max
e
2iui—
a,1
z=1
Then using the equality equality (62), (62), under under (n,p (n,p— - 1) = d we get pP
"
~ee
2,".ax !.!-
2ni— ,
2
,P
= =
2#1.vx !!L 2ff,— ' n
~ee
max
2
p
1(I1
:1:=1
11 P - I ~ P—j_ 1~ p=1 11=1
ft
E
2·":1: "
r
e e
W.
22
= (d — = - 1l)p. )p.
p
z=1 %==1
Hence by Theorem {)5 it follows that Hence by follows that P
v;r::I .;p ~
w.,..
2 ' «:En
~e
~ (d - 1).;p. (d—
(69)
:1:=1
inequalities (69) (69) show showthat that under under fixed fixednn and and increasing increasingppthe theestimate estimate obtained obtained The inequalities in Theorem 5 has the order order which which can not be be improved. improved. Moreover, Moreover, it can can be be shown shown E19],that thatininthe theestimate estimate (6,3) (63) itit is is impossible impossiblenot not only only to to i.mprove improvethe the order, order, but but to [19], replace €)(d — replace (d (d— - 1)VP by the quantity quantity(1(1— - e)(d - l)VP under any e > 00 either. Now we shall shall cons'ider consider sums sums with a prime-power Now we prime-power denominator. LEMMA4.4. Let Let 2 ~ a ~ n, n, pp be LEMMA be aa prime> prime> n, (a1,... (al"" a1x OtZ + ... + a n 3J A • Then the thefollowing following estimate estima,te holds: holds:
+... +
pa
,an,p) and f(x) f(x) = ,an,p) = = 1,1, and =
2ff
Proof. Let y and zz run runthrough throughcomplete complete residue residue sets sets modulo modulo po-l and p, p, respecrespectively. Then the sum y11 + runsthrough throughaacomplete complete residue residue set set modulo modulo pa pO and, and, tively. + pa-l p°1 zZruns since a ~ 2 and since Rnd p> p >2,2,we we have have
f(y +
f(y) +
(mod p°).
[ch. I, §§ 4 [Ch.
Complete exponential sums Comp.fe,te sums
26
Therefore, 2 ' I(z)
pa
~
LJe
2iri 11"1
2 ' !(,+pa-t z)
,a-l P
p p ~ ~
Q
= LJ
P
LJe
2,ri 11"1
Q
P
y=1 11=1 z=1 %=1
z=1 x:l
,0-1
.
~
= LJ e
2,n
Ie,) Q
L....ti e
P
y=1
P
Cl
P . /'(11)% p ~ 211'1--
P
%=1 -
1
=P L
./(u)
27r1-
e
poe
6,,[f'(y)]. bp[f'(y)].
(70)
y=1 11=1
But then pp
,Q-t P
P
e
~P p
L 66,, pa-l Lop[f'(y)] 6,, [f'(y)] = pa-IT, p[f'(y)] [f'(y)] = p"' ,=1 ,=1
(71)
the number number of ofsolutions solutions of of the the congruence congruence where T is the
f'(y) == 0 (mod p). Since(ai, (ai,.. p) = 11 and pp isis aa prime prime> Since .... , an, > n, n, then at least least one one of of the thecoefficients coefficient,s a,,, p) is prime to p and, of the polynomial f'(y) = polynomial /'(y) = UI al + + 2a2y 2a2!1 + .,. ++ nanyn-l prime and, therefore, therefore, +... obtain the lemma assertion. assertion. T ~ n -— 1. 1. Substituting this estimate into (71), we we obtain of aa special special form. form. Let Let pp be It is is easy easy to t,o improve improve this this result result for for polynomials polynomials of b~ prime, (a,p) = = 1, and ' p0
211'i":C"
=L e ,CIl
S(a,pQ)
CIl
p
•
:c=1
Let's show that under a ~ 2 and n ~ 3 the following following equalities hold: a
(a,p ) =— S(a,pa)
{::=~S(a,pa-R)
if 2 ~ a :s.; nand (n,p) + 1. if aa ~ n +
Indeed, from (70) it follows follows that p0_I
S(a,pdl) =
e
P0 fi,,(nay"').
y=l
or
Hence under under (n,p) ==11we Hence we get get the thefirst first equality equality of (72): (72): p0_I
2wt
—
,,0_2
2iri
a(py)' PO
= 1,
(72) ( 72
,It. 4] ch. 4I, § 4J
27 21
Simplest complete sums
of p, p, which which divides dividesn.n. Then, Now let + 11 and and I'll be the greatest greatest power power of Now let aa ) n + +22 and using l)fJ + and considering considering separately sep,arately the cases + 11 ~ (p -— 1)fl using lhe the estimate estimate Qa ~ pfJ + a ~ 2{j + 2 and n + 1 ~ a ~ 2{J + 1 we obt,ain (If + + npOl-IJ-l !I"-1 z (mod pOI). (y + po-/l- 1.f)" == !1 M + Therefore, 2
S(a,j?)= y=1
z=1
pa_s_I ,.-'-1
~ = L." =
.•,n p,+1
~"".'."'" ,11" e2ft'. --., L."e
aR,
n-I
,.1
~
p5+!
,
z=I %=1
,=1
=pP+l = p,P+l
2 "
,.-'-1
2ft"1 .,.
~"",':,,"'.', L." '"e 1#
,.
£. +" I ('a"n" Up' ,', " 9,"-1)' fl·
,==1
(an,pP+') Hence" since since (an,pP+l) Hence,
= pfJ, we have =
Sea, pOt) = ,1+1
,*-,-1
E
2ft" .,"
,,8 c5,(y)
e
,=1
= pP+l
'I'"
, "-1-2,2ft',,-2wi_!!__
E
ee
,.-a = p"-IS(a,pO-R).
,,=1 y=1 Thus the assertion assertion (72) (72) is is proved proved in in full. full. TH,EOR,EM 6.6.Let THEOREM Letnnand and qq be be arbitrary arbitraiy positive int,egers integers and (a.f) (a, q) = = 1. Then Then for for the
sum Bum
— Ee 1Ft, ' 4, f,
S(a,q) = S(a,q)=>e
2 2w,,as"
.'=1 the estimate
(73) h,olds.
Proof. Since q) = = 1, then under n = 11 and Since (a, q) Wlder n estlm,ate (73) (73) follows follows from and nn == 2 the estimate Lemma 2 and Theorem Theorem 3, 3, respectively: l·espect,ively:
, 4,
,
.. =
~,"""':'", e,2.n£.-, f s=)
=0, 0,
teh'i A;' ~ Vii. e
<
s=1
Therefore it suffices suffices to consider consider the case n ~ 3.
Comp,lete expon,entia./ sums sums complete exponential
28
that for any prime p under a At first we shall show show that
[CI,. I, § 4 [Ch.
~
3, and and (a,p) = 1, n ~ 3, = 11
IS(a,pa)I where
ep(n) =
(74)
if if p
In {~
if if p>n. p >n 6
•
•
Indeed, Indeed, under a ==11 by by (60) (60) nv'i5 <
I
66 iiff p P
if p>n6. p > n6 •
=
Let 2 ~ a ~ nn and (n,p) = p. Then Then p ~ n and, using the trivial trivial estimate, estimate, we we get
IS(a,pa)1 IS(a,pa)I Let finally 22 ~
a
0:
~
~ pa ~ pa(l-~)p~ npa(l-~).
n and (n,p) (n,p) ==1.1. Then Thenby by (72) (72) IS(a,pa)1 IS(a,p a
a(1__) . a(i__) a—I = pa(l-~) = pa-l a ~ pa(l-~) p
n. Apply Thus the estimate estimate (74) (74) is is satisfied satisfied under 11 ~ a ~ n. Apply the the induction. induction. Let Let for a certain k ~ 1. 1)n ~ aa ~ kn this estimate be valid for under 1 + + (k -— l)n We shall show show that that the estimate is valid under 11+ 1)n as welE We +kn ~ aa ~ (k ++ l)n well'. Since 1)n ~ aa — + k'n kn then using equality (72), (72), by by the that11++(k(k— - l)n - n ~ 11 + using the equality it is is plain plain that we get induction hypothesis we I
=
IS(a,pa)I
for any any aa ~ I. 1. (74) is is proved proved for Thus the estimate estimate (74) of q. q. Using Let now qq = prime factorization factorization of Using the multiplication multiplication Let now = t ..•• .• p~. be the prime formula formula (34), (34), we obt,ain obtain
pr
q
a
= [I
a c
,
(75)
v=1
where the quantities bll are are coprime coprime with with PII' ps,. We Wedetermine determinea" a,,with with the the help help of of the the where equalities (zi=1,2,...,s). a"=ab,, (v=I,2, ... ,s). (a,,,p,,) = = 11 and Then, obviously, obviously, (a",p,,) and by by (75) (75)
S(a,q) = = S(al,p~l). ,.S(a8'p~').
Alfordell's Mordell's m,.thod method
Ch. Ch. I,,, § 5] 5)
29
Hence,using usingthe the estimate e8timate (74) (74) and and observing observingthat that the the number number of primes primes less less than than nO n6 Hence, 6 we get , we get the theorem assertion: does does not not exceed nn6, Qt
IS(a,q)I~Cpt(n)pl
(1-~) .. .C,.(fl)P1(1 Q, (1-~) ... C,,(n)p.
J
~n
n' 1- 1 q n.
p) = = 11 by by (72) (72) for for any any prime p under n n>> 2, Note that under 2, qq = = p" and (a, (a,p) p"
""
L..JC
2.i"~" p" p
/
11
n. . ) . =pn-l =p =pR (1- .n
:&:=1
Therefore, in in this this case Therefore,
1I
= q1- n. S(a,q) = under fixed fixed nn and increasing the order order of of the the estimate estimate (73) (73) can can not be Thus under increasing qq the be imimproved. a1x +... + anx R , (al,'" 5(q) be a complete complete rational Let f(x) 1(x) = = alX Let and Seq) rational (al,... ,an,q) = 1land general fann form exponential sum sum of the general exponential ,q 2,..;•f(x) I(~) Seq) = q. (76)
Ec
:&:=1
In Theorem 66 the estimate 1
18(q)1 IS(q)I ~ C(n)ql-i,
(77)
6
where C(n) C(n) == nn , was proved proved for for polynomials polynomials of of the special form f(x) where I(x) = = anx R • With the help of of the the significant significant complication complication of the proof proof technique, technique, Hua Rua Loo-Keng Loo-Keng showed that that under showed under certain certainC(r&) C(n) the estimate estimate (77) (77) is valid for arbitrary complete complete well. A proof of an estimate close close to (77) can be found in in [16] [16] rational sums (77) as welL and [44]. and [441. § 5. 5. Mordell's Mordell's method metho,d Let us consider a complete exponential sum with a prime denominator P,
S(p)
= Ee
211';
At
x+ ...+an xR P
•
2:==1
proposed aa method of such such sums sums estimation estimation based on the Mordell [36] [3-6] proposed the use use of of propproperties of the the system system of ofcongruences congruences
~~. ~.: :.~.~.~. ~.~~. ~.:.~ ~.~R.}) x~
+ + ...++
x: == yi +... + ++ y:
J
(mo,d p), (modp),
(78)
Complete expon,ential exponential sums Complete
30
[Ch. [C1. I, § 5
where pp is is aa prime prime greater greater than n and the variables x1,.. where variables Xl, •••. ,tin run through through complete complete , residue set,s sets modulo p independently. residue First of First of all all we we shall shall prove prove a lemma lemma about about the thenumber number of ofsolutions solutions of of aa congruence congruence system of a more general general form.
arbitrary positive int,egers, integers, q = = LCM (Ql" be arbitrary Tk (qi,..••. ,qn) , q,,) and Tk be the number numberof ofsolutions solutions of ofthe thesystem system of ofcongruences congruences
LEMMA5.5.Let Let Ql, qi,.• •• . . ;, q" LEMMA q,,
~~..~.:".:.~.~.~ ..~.~~..~.:".."~'~'.~""~:~~"~.~'~' } , x' + + ... + tlk ... + + x% == !If +···+ +... (modqi)
x~
1
1 q. l~xlI'YII~q.
(79)
(mod q,,) (mod qn) J
Then qi
qq
qn
2
L.J e
Tk=
"'"
.fajz 12:+ +4n2:") .(4
11'1
...
91
2k 2k
II
'lfn
x1
ai=1
:1:=1
Since the product Proof. Since
equals unity, unity, if numbers numbers Xl, x1,.... . . ,,Yk satisfy the congruence system (79), (79), and vanishes equals congruence system Uk satisfy otherwise, then, then, obviously, obviously, 9
Tk= T, =
~
6'1(Xl
+... - Yk) ••• 6,.. (xi +... - Yk)'
Xl,.··",=1
Hence, using Lemma 2, we get the assertion Hence, assertion of of Lemma Lemma 5: .fa,(x1+...—yk)
q
Tk =
1
qi . . . q,, al....,an Z1,...,ykrl
~
1
e"
L.Je
qj
21ri(.,t z + + ,,:a:") A
o ••
1
2k
9"
r=1 x=1
In particular, under kk = and qlq1==... = n and ... = qn = pP ·itit follows follows from from Lemma' 5, 5, that that 1
i'
2w,
(80)
where Tn is the the number nwnberof ofsolutions solutions of of the the system system(78). (78). LEMMA LEMMA 6. Under any n n ~ 1 and a prime prime pp>>n,n,the thenumber numberof ofsolutions solutions of the the system syst,em (78) satisfies satisfies inequality in,equality T" ~ n! ph. p".
31
MordeJi's method MordeJl's method
5) Ch. I, §§ 5]
. . ,An) , A,, be , A,,) be be the be fixed fixed integers, 0 ~ A" ~ p -— 1, and let proof. Let A1,.. AI, .... ,An let T(A1, T(A I , .••• number of solutions of the the system system of ofcongruences congruences
~~,,~.:".:.~.~.~. . ~. ~.1})
}
xf +··.+ x: == An
(modp) (mod p)
1
~ ~ p. x"
(81)
We shall show show that that We shall (82) T(AI, ... ,An) ~ n!. (82) Indeed, we intro,duce introduce the notation for for the elementary symmetric the following following not,ation symmetric functions functions and the sums sums of powers powersof ofquantities quantitiesXl, xi,.•••.. ,X , and n:
0'1
= Xl +... + 5,,,... 51+ ... +X ii..•• .IX5,,, n, n , ••• ,0'" = Xl
81
+ ... + ... ,sn=x~+I + xn• =Xl+,".+Xn, .. +x:" = .
Let Xl, arbitrary solution solution of of the the system system (81). (81). Then, Then, obviously, obviously, Let ii,. •.•• ,Xxnn be an arbitrary (modp), 81 == At, "'" 8 n == An (mod p),
and using the the Newton Newton recurrence recurrence formula formula
=
110.,, vO'" = 810'''-1 -— 820'''-2
+..."' T 8,,-10'1 ± s", +. J
under = 1,2, 1,2,... under vji = ... ,n ,nwe we have have A,, (mod p). +... (83) + ... =f A,,-lO'I ± A" Since Since pp isis aa prime prime greater greater than n, n, then then (v, (lI,p) p) ==11 and andthe thecongruence congruence (83) (83) is is soluble soluble 110'"
==
A10'1I-l -— A20'1I-2
for 0'". oP,,.FraIn From (83) (83) we we get successively for B'uceessively ,0.,, O"l=""l"",O'n=J1.n
(0 p,, p — 1), (mod p) . (O~JLII~p-l), (modp)
where the the values valuesPI,. ni,. .. ,ltn uniquely by bysetting setting quantities quantities AI, A1,..., where are determined uniquely ... ,A,,. Ani , with one one of of the the permut,ations permutations of But then every every solution of the the system system (81) (81) coincides coincides with of the roots of the the congruence congruence f
•
x
n
fl
I-'lX -
-
1
+... ± Itn == 0
(modp) (mod p)
with fixed coefficients cOlefHcients and, therefore,
T(Al" · . ,An) ~ n!. Now, since P
T,, TR
= =
L
+ V:), +... + + ... + + tin,· y,,,... yf +
T(y1 T('II1 +...
f ' ,,
y1 ,... =1 111 "",'n=l
we get get the lemma assertion: we Tn ~
'P
L
'1 ..... ,,,=1
n!=n!p". n! = n! p•.
f.
I
(ch. I, § 5 (Ch.
Complete exponential sums Complete
32
immediately, that that under any Not,e. the equality equality (80) (80) it it follows follows immediately, any Note. From this lemma and the n ~ 1 and a prime prime p> p >nnthe thefollowing following estimate estimat,e holds: holds:: P P
P P
2:
2: e
Gl1 ••• ,I1.=1
TUEOREM atX
7. Let n
~
2n
alz+...+anr" 2 ' tltx+ ...+an z " 2n p
lI'l
= pllTII ~ n! p211 .
:1:=1
greater than n, (ai, . . ,an,p) = 1 and and f(x) f(x) = = 2, p be a prime great,er (at, ....
+... + anx n • Then
p I'
2 '•f(x) /(,;)
2: e "'1-,-
1 ~ npl-n.
,;=1
Proof. At first we shall consider consider the the case case (an, (as, p) p) == 1. 1. Let Let integers integers A ,\ and J.t vary in the bounds bounds 11 ~ ,\A ~ p - 1, 11 ~ Jl ~ p. Arrange Arrange the the polynomial polynomial f(Ax + + It) in the ascending order of of powers powers of x
+... +
= bo(A,/1) + b1(A,
f(Ax +
p)z"
(84)
observe that that and observe bn -
and and
= aMA"
1 ('\,
= (nanJ.t + J.t) = an-l)'\ n-l. + an....i
D,enote number of of solutions solutions of the system system Denote the number bi(A,1i)
p)
(85)
b,, , n ). is plain, plain, that that H(b1, H(51,. . . ,b It is . . ,,bn ) does by H(b1, ... ... does not not exceed exceed the the number nmnber of solutions of the system made up up of of the the last last two two congruences congruences of the system system (85): (85):
+
1
aDA"
j
b,
(mod p),
since (nan,p) (nan,p) = and, therefore, therefore, since =11 and and (A,p) ('\,p) = =1,1, (86)
By (25) for complete sums the equality . f(x) /(z) 2n 2n p '"" 211'1LJe P :1:=1
p
=
. f(Ax+p) I(~:I:+") 2n 2n
E21r* LJe
'""
:1:'=1
2'1f1
,
3,3 33
AAordell's Morddll's m,ethod method
Ch. I,4 §§ 5]
Hence by by (84) (84) after after the summation with respect respect to A we have holds. A and JI"p, we holds.. Hence p
f(x) 2t*
2ir; —
P—i
=
>2
(p
2n Pp . I(>':z;+~) f(Ax+p) 2ft 2,rs '"" 271" L..Je P
P
>2
p1 r=i :&:=1
A=1
P' p
2n p P _.. 61(>',I')Z+ ... +6.. ('\.~)a:R 2ft bi(A,p)x+...+b,,(A,p)x" '"" 2,...
L..Je
>2>2
P
x1
A=lp=1
:1:=1
ii), ... , n (A>Il) Grouping summandswith withfixed fixedvalues valuesb1b1(A, (A,I-&), ,b Grouping the summands /1) and and using using the the esti. mate (86), we get .
.
2n
p
2n
>2
p
z=i
x1 2n
p . >2e27rt
P
(
Hence by the note note of of Lemma Lemma 66 we we obtain obt,ain the the theorem theorem assertion assertion for for the the case case
(an,p) = = 1:
f(x) 2n ./(z) 2n
p
Ee
211"1-
~ ~
p
:.:==1
Ee 11'1-,p
2 ' I(z)
n n'p2n < n 2 n p 2 n-2 (p -1) , p(p—i) ·
P
1
< npl-n.
x=1
Now we show show that that the general Now we general case (a1,. (al'.'.', an,p) == i1can can be be reduced reduced to to the the case case when leading coefficient p. coefficient of the polynomial is prime to p. Indeed, let (a.,p) = 1 and a s +l == ... == an == 0 (mod p), 1 ~ s ~ n. Thenwe Then we obtain obt,ain . .
pP
~
L..JeS
2 ' f(z) f(z)
p ~ 271'i 2,rs
-71'1-
= = L..J e
P
z==l
atx+...+aax 41:&:+ ••• +a,x' P
1
1——
1
1——
x=l
The theorem is proved in i.n full. full.
Not·e. AAsubstantial subst,antialimprovement improvementofofMordell's Mordell'sestimate estimatewas wasobtained obt,ainedby byA. A.Weil Weil[48], [48], Note. who showed,that thatunder underprime primepp> (an,.... . ,, an, p) = who showed, > nn and (an, =11 the the estimate estimate .
p
is is valid.
Complete exponential sums Comp,/ete
34
(ch. I,I, §§ 6 (Ch.
§ 6. Systems of of congruences congruences
is the use of the estimation for One of the main main points points of ofMordell's Mordell's method method (§ 5) is the number number of of solutions solutioll8 of of the the congruence congruence system ) ~1.~ ~'.~ ~~.'~ ~~ ~ ~.~.n.} n_ni ft :
.... :
X11...VXn.Y1r...TYn xi +···+ x: == yf +···+ y:
(modp),
fl
L
I
where pp is is a prime Hereafter, congruences congruencesofofthe the same same form form but where prime greater greater than than ,z. n. Hereafter, with respect to to distinct distinctmoduli moduli being bei.ng equal equal to togrowing growing powers powers of a prime p will will be be great importance. import,anee. For For the thefirst first time timesuch suchsystems systemsof ofcongruences congruences were applied by of great Yu. V. V. Linnik [34] for the the estimation of Weyl's by Vinogradov's Vinogradov's method. Yu. [34] for Weyl's sums by n(n4+i) 1 ~ 1, 1, kIe ?~ n("4+ ), p be a prime prime great,er be greater than than n, n, and let let Tk(pn) Tk(p') be tbe of solutions of the system syst,em of congruences the number of congruences
LEMMA LEMMA7.7. Let Let n
(modp)
Then
)
n
(87)
n(n+1) 2
Tk(p'2)
Proof. Under Undernn==1 1the thelemma lemmaassertion assertionisisevident, evident,so soititsuffices suffices to consider the case n ~ 2. Take Take qlqi=p,...,qn=p" = p, ... ,qn = pnin inLemma Lemma5. o. Then we obt,ain obtain
"
n(n+1) 2
ajl
P'
e
I
x=1
of the the summation summationover overat, al,... We split up the domain domain of ... ,a'n , into two parts: part,s: p't
p
aj'tl where the summation in where
a1,...,a't
2:1 is extended over over n-tuples n-tuples a1 at .... an sa~i,sfy an which salisfy . .
p\a2,p
\a3,...,p
and for for 2:2 n-tuples are taken t,aken into account, for for which which at least for for one one of of E2 only those n-tuple8 ,i in the interval IJ interval 22 ~ v1J ~ n p"-l is not a divisor divisor of all.
__________ ___________ Ch. ch. 1,I,
S6]
Systems o(cosgruenccs
35
case,determini,ng determiningb1 b1,. In the first flrs't case, t • • •. t,b,, 6ft with the help of the t,he equalities equalities
..., a,,
a1 = b1, a2 = b2p,
we get
2irs (!-1!+ ~.".' '., '. .211'i---+ LJe .. "
( . 811:
II
4
=
. ''.' " 2wi "1~ =~ LJe
Sa )..
" P"
pU +...!L;, ."
z=1
.I.
+
.I.
"
II+.,,,a
•••
.=1
,P
~.' . 211'" =Pn-l LJe
.=1
61.+···'+...." . ,P ' ·
Therefore
f:
_~z +...+ -;:") P p"
2iri ( e21l'i
2k
2k
=
p2R1t-2ft
~-1
t
p
e 21I'i
'l.+..~H.. z..
2k
211
.=1
bix+...+&,,x" 2n
P
and using using the note of obtain and of Lemma Lemma 6, 6. we obt,ain
.n). 2'
2 " . .!!.=.+... +~ . . ~.".""" ..... Le .. , ,n
PD p.........
(....
. ...
2k
.
x=1 al,···,4" 11:=1 P
P
(88)
P
b1,...,b,,=1 x=1
In the second v in the second case, case, there exists exists an integer integer" the interval interval 22
v ~ ~ II
p.-l ~ a"pM-II. Therefore" Therefore, ,,-1. . . . ( alP ,G2P. ..-2 •...
where 2
~
") ,a,,,p") ,G,.,P .= = PR-a ,
n. But a ~ R.. But then
Q
a-I (lIP
= ClIP"-a , • • • ,tit. = VaP.a-a , 1..
(bi,...,b,,,p)=1, (b'l' .... ,b., p) = 1,
~
and using Lemma Lem,ma 4, 4, we we get ~ LJe '..••..."
..
6)
•
. ..........•... 61ft
.:==1
= =
(·.·. . •
a.• +
'
f: z=1 .:==1
.•••
+., .".").
2wi ehi
,It bix+...+b,,z .t.+.;:......
= p,.-a
' Ee ,"
z=1 .=1
211'"
'11:+ ... +6,,11"
,. P"
that nn such such tha.t
[Ch. (rh. I,I, §§ 6
Complete exponential sums Complete
3,6 36
n(n+1) it follows that Hence, since k ~ n(~+l), follows that pn "
>22 >2e Le L z1
anx") ,n
2iri. (al~ -+...+ P
211'1
2
41 ••••• 4n
2k 2k
~=1
n(n+1) —
observing that that under n Now, observing
—
(n
2
(89)
~ 2
l)2k_1 > 2k -— (n — 1)21c ~ 2k(n -— 1)2k-l nfl2k - l)n-l ~ n! (n _1)21: n(n — > n(n
from (88) and (89) (89) we we obtain the the lemma lemma assertion: assertion: n(n+1) 2 Tk(pn) =p---2-
Ll + L2 >22)
n(n+l) (
)
(
Al J•• 'J4 n
~n!p
41 J' •• ' . "
n(n+1) 2nk2nk— n(n+l)
n(n-4-1) 2nk2nk— n(n+l)
+(n_l)2k +(n—1) pp
2
2
n(n+l) n(n+1)
2nk— 2k 2 nk--
~
Note. Let Not,e. Let Tk(P) Tk(P)denote denotethe thenumber numberof ofsolutions solutions of of the systcm system (87), when the domain variables variation has the form of variables form 1~
1 ~ Xj ~ P,
Yj ~
(j=1,2,...,k). (j = 1,2, ... ,k).
P
If m m is a positive integer, then then under under PP = mpn mp" IT positive integer, 2nk- n(n+1) n(n+l)
(mn)2kp2' Tk(mpn) ~ (mn)2k p
(90)
22 .
Indeed, using the the complete complete sums sums property property (26), (26), we we get get m,n 2 .• """
L...J e
11' I
(~+ ••• +4,.X
n
,n
P
p"
)
"""
x=1
0(8 .2:+ 1
2
=m m L...J e =
11' I
p
•••
+a.nx
n )
pn,
;1:=1
and, therefore, n(n+1) n(n+l)
,Hp"
p
T,(mpn) = p - -22- """ L...J ..• """ L...J ap=I 41=1
=m
0
11' I
(!!=.+ \p P
+ «-ax") •••
"n
2k
1
pH 2,ri 2 (fi!+ (!!!+ + A"x" 1 i" ,n " ... ,," >2 ... >2 >2 e
,"
L'" L Le
&1==1
=
""" L...J e
a,,=1 4 n =1 x=1 x=1
n(n+1) n(n+l), 2k p - - 2 2 -
mp" m pn .2
4,,:z1
x=1 x=1
n
0
)
2k 2k
____________________ Sys:tems of ofcongruences congfuen,ces Systems
Ch. i,I, § 6] 6] ch.
37 37
Hence, since by Lemma 77 Hence, 2 k—
Tk(p")
2
we obtain the estimate estimate (90). (90). we . ,, X n run Let L.J"'1,. ~!Q •• , . denote the sum, sum, in in which which the the summation summation variables variables x1,. Xl, ••• through complete complete residue sets set,s modulo modulo pa pO' and and belong belong to to different different classes classes modulo p. .
= a1x 1(x) I(x) = ala: + + anx n , + ... +
LEMMA8. 8.Let Letppbe beaaprime primegrea,ter greaterthan than n, n, aa ~ 2, and LEMMA
with the help of the equality Let Sa( aI, . .., . ,,an) be defined defined with e,quality Let Sa(ai,. ,ol 2m /(%1)+ •.• +/(x,.) 2ir, 5'a(al,'" ,an)
L
=
,0
e
Then a ) -S eN (a 1,···,n
{
P(a-i)ns1 (b1 , • • ., bn )
if a"=pa-1b,, otherwise. otherwise,
o0
(v=1,2,...,n), (v=1,2, ... ,n),
Proof. Let Let us us change change the the variables variables X"
(v=1,2,...,n). (v= 1,2, ... ,n).
= YII + P0'-1 Z.,
different classes, classes, then then the Since Sinceby bythe theassumption assumptionthe the quantities quantities Xl, xj,.••• ,X , x,,n belong to different belong to to different classesmodulo moduloppas as well. well. Therefore, Therefore, using using quantities Yl,' different classes quantities Yi,.... ,Yn , yn belong that (mod pa), + f(yv we obtain .
.
Sa(ai,. .. p
e
=
>2
n =p
e
%1 ••••• %n=1
111,···.lIn
,.-1 P
2"'; /(1/1)+ ...
L
2
e
+/('n) 0, [f'(Yl)] ... 0p[/'(lIn)].
pO
(91)
lit •• ... 11,.
and (at, (ai,...... ,, an,p) Sincefl(y) f'(y) = at a1+2a2Y+ +2a2y+.. Since ... +nany"-l, then under prime p > n and p) = = the congruence congruence f'('II) f'(y) == 00 (mod p) can values of 11y 11 the can be be satisfied satisfied by at at most most nn— - 11 values from different different classes classesmodulo modulop.p. In In the the sum (91) (91) the quantities Yl,.,., Yn from belong to y, belong different different classes classes and, and, therefore, . .
1
.8
=
{
0
((al,. )= , an,p) at, . ,an,p = p, (as,... ,an,p) if (at, ,an,p) = =1.1. 'f lif
.
[Ch. I, § 6 [Ch.
Complete exponential expon,ential sums
,a,,) ,an,p) But then then by by (91) (91) the sum S'UDl Sa(ai,. Sa-Cal"~ ... ,a under (a1,... (al," .,an,p) n ) vanishes under (ai,... (al , ... ,, a,,,p) an, p) = = p, then .
pa_I pClr-t
= 1.1.
If
2wi
E
Sa(ai,...,an)=p Bo(al"" ,an) = pR >2
e
't,··"Y" Thus
.. ,anp-l) f ... -— {pnSa_l(alP-l, S o (at,·· · , an ) 0 —
if (a1,... (at, .. . ,an,p) =P 'f (a1,... (aI," .,a,.,p) = 1if = 11..
0
1
92 (92)
Applyingthe theequality equality(92) (92) ,anp') we get Applying to to 5 0 Sa_i(aip',. - 1(alp-I, ... . ,anP-I) .
S (a a)Sa(ai,...,an) 1, • • • ,n Q
{
- 2 , ... ,anP- 2 ) ' f (al,···,a n ,p2) =P, 2 P2n S 0-2 (alP 1if (aI,...,an,p2)=p2, 00
otherwise. otherwise.
Continue st,ep we we obtain obtain the thelemma lemma assertion: assertion: Continue this this process. process. Then after a-I — 1 step . Sa-(al"'" an) = = fp(a_1)nSi(aip_(a_1),...,anp_(a_1)) l)n S1 (atp-(a-l), ... , anP-(a-l») .
{p(a1
=pO_l, if (al"'" an,pa-l) = pQ-l, otherwise.
O 0
LEMMA9.9.(Linnik's (Linnik's lemma). lemma). Let A1,. LEMMA At, ..... ,,A,, An be fixed fixed int,egers, integers, pp aa prim,e prime greater greater than T*(A1,. . . n and let T'*(Al, .. " , As,) be the number An) be numbcl' of of solutions of the tl1e system system of of congruences congruences
~1.~ '.~~~.~ ~~ '«~n'lOo.d .Pp'>R) } , (modp)
:'.
•
xi +···+ x: == An
(modp")
vaJ.·ia,bles run through complete complet,e residue sets sets modulo pn and belong belong to t,o variables different class,cg modulo p. Then different classes mod ulo p.
where the
n(n—1) n(n-l)
··T*(,xt, . .. ,A n ) ~ n!p-2n!p 2 n - 2 x 2 + ... + anx Proof. Let 1(x) = alpn-l x + a2p a,,x"n and according to the notation Let lex) according to a2p"2x2 of Lemma 8 •
2ir,
>2
e
~l, .... ;l:n
Using Lemma 2 we we obt,ain obtain Using pfl p"
n
~ll ••• ,Xn
v=1
L II 6pv(x~ + ... + x~ >2 pfl p"
n(n+l) n(n+1) 2 T*(A1,.... . . p-2-T'*(Al' p
,,=1
,An) = =
,
>
at,... ,4"
L,:I:"
>.
Xlt •••
2' (
2 11'1•
e
41
'
Xl
Av ),
+...+2:" -..\1 ++ ••• :1:;.'+•.. +:1:: -..\. ) ..• +4" + P p" 1,,
_____________ ________ 39 39
Systems o(congn,ences Sys,tems of ~
Cit. I, § 6] '] ch.
.. ,I aM is wbere the summation summation with with respect respect to to a11. 61 I ••• i,8 extended extended over over the the domain domain where 1 ~ (11 E:; P, . · · ,1 ~ a.. ~ pM.. Henceobservingthat Hence observing that
E .".•. .-.
.' .,(. . .1+.··+·. .. .:+,.+.:). , +...+..
e21F'·1
Sl ••• ·,·" -
2
= =
pfl
e
Sit···.·..
we have a T*('\l' , ... An) . . I
.L
A ?' -2 __ A" ).. . —2 •(.. . 41 l + +.... ~ S (.. ..-1 \. 1ft k , 00. ,. P" ••. = P L . . , ' ... L..,,,alP , • ·..· I a'Rr'
n(R+1) ,.(R.+l)
.pp .
- -2 - ~ 2
'.........
ajl
at=1
.'
a.=l
Determi.ne t,he ... ,b. with the help help of of the the equalities equalities Determine thequantit,ies quantities~,...... (11 = bl , ai=bi,
"2
,a" =
= pb21.'"
p,,-lb._
Acoordi,ng to Lemma 8 According
S.(alp·-l, ... ,a.) .
,b,,) = {. pfl(tI-. l)Sl (b'I' _. - ,b,.)
(v == 1,2, 1,2,... =p"1b,, (II =p.,-lb" ... ,n), otherwise, otherwi.se, if
o U
I,
a,, 0"
, E
where
P
-
Therefore, n(rt—3)
p
2
T(A1,.. .,A,,) p
=
Si(bi,. ..
, L
p
p
=
2W,
P
-
Now, using Lemma 2, we obtain n(n—1) nCn-l)
T*(Ai,...,A,,)=p 2 T:*(;\l, · · · , ~ ..) p-2-
..ii
,p
L II 6"(%1 +·... + a:: - A.,)
=
.,=1 tj,...,Xn.. v=1
.1,.0.,~
,p
3:1
nii
L E I16,(:,;r +... + %: - A,,),
"'0,... =1
,.,=:;:1
_(ft-l) n(n—1) 2 = p-2-T(Al' . _. .. ,Aft),
•
[Ch. I, §§ 6
Complete exponential sums Comp,/e't••xpan,ential sums
40
where T(Al"'" nwnber of of solutions of the system of of congruences . . , An) is the number
1 ~ x" ~ p. 72i
I
n! by (82), the . . ,, An) ~ n! Hence, because T(Al" .. the lemma lemma assertion assertionfollows: follows: n(n—i) n(n-l) 2 T*(Ai,. T*(Al"'" An) ~ n!pn(n-l)/2. . .. An) ~ p-2-T(Al"'" .
COROLLARY. Let of solutions of the system of of congruences COROLLARY. Let T:(mpn) be the number of
x1 +
—
0
(modp)
1~
i
(modp)
Xj,Yj ~
mpn,
i- j => Xi '¢ Xj,
Then
Yi ¢.
Yj Y, (modp).
,z(n+i)
2 —
2
(93)
. . ,, Yn runs runs through a complete Proof. Since Sinceeach eachvariable variable among among x1,. Xl, ••• complete residue system modulo p" m m times times (under (under the the additional additional conditions conditions i f; jj => Xi ¢. Xj, Yi tem modulo pR y1 ~ y, (modp)), then using the lemma we obtain Yj (modp», then using the lemma we T:(mpn) = m 2nT:(pn) ph
=m
L
2n
+···+Yn, .. o,yj+ ... +y:)
T:*(YI
>
1I1,.. ·,Yn
n(n—1)
p
2
2 2_ n(n+1) 2 = n! m2tlp
Sums with exponential function §§ 7. Sums Let a be an Let an integer, integer, in m form
2 ~ 2
and q
~ 2
be coprime positive int,egers. integers. Sums of the coprime positive P
aqr:
S(P) = ""'" LJe 211'im :.:=1
rational exponential sums cont,aining containing an an exponential exponential function. function. In the invesare called ra,tional invessome properties properties of of the the order order of qq for for modulus~ modulus m. tigation of such sums we shall need some
Sums Sums with exponential ~ponent;al function function
7] Ch. ch. I, §§ 7)
Let p be a prime, prime, m
41
==pm1, pm!, rr and andr1rl be bethe theorders orders of ofqqfor for moduli moduli m m and and m1, ml,
respectively. We shall shall show, show,that that ifif rr respectively. We
~ r1 rl and
p\ml, then the equality equality
rr=pr1 =pTl
(94)
holds. (mod m) we 1 Indeed, since since ml mi\m, 1 (mod Indeed, \m,then thenfrom fromthe thecongruence congruenceqT qT == 1 we get get qT qT == 1 (mod ml) and, \r. On (mod and, therefore, therefore, r1 71 \r. Onthe theother otherhand, hand,frQm fromthe thecongruence congruenceqTi qT l == 11 + uimi, is a multiple of of (mod ml) mi) we obtain = 11 + (mod obt,ain qTl qTt = Ulml, where where u1 UI is an integer and m1 ml is assumption. But then p by the assumption. But p qPfl qP T l
= (1 + Ulml)P == 1
(modm) (mod m)
:F rr and and pp is is aa prime, prime, the equal~ty (94) follows: follows: 1 rrj'\p, TT1 \p, T1"l-1 = p, r=pr1. r = PTlrrr'=p, the prime factorizationof ofm, m,Tr and r1 now ~ rn be be o,dd, odd, m m == pfl ... P~' be the Let now prime factorization 71 be
and r\]JTlr\ pr1. Since \r, Ti Since r1 71 \T, Tl
. . .
orders of of qq for for moduli moduli m m and PI pi .... .-P"~ respectively_ respectively. the orders We determine the quantities flu,.. We det,ermine PI, .... ,,P. with the help of the conditions conditions _ qT' qTl —
11 --=
U '0 p{Jl . . . pP,', 1 .•• 8
(u p1··· 1· (u0, 0, P1 -- 1. .. . p , ) =
(95)
For definiteness definitenesswe wesuppose supposethat that in in the prime factoriz,ation factorization of of m in those primes, which which For satisfy the the inequality inequality a" a,, > so a" a,, > /9,, satisfy > f3,,, {3", are put at the the first first rr places places (0 (0 ~ rr ~ .s), s), so P" ur.der IJz' > r, r. Further let under v1/ ~ rr and a,, a" ~ /9,, p" uI~der _ (JI m1 -=p1 mI PI
(Jr
.. 'Pr
. .
Qr+l Pr+l •.
a, a
·P. ·
From the the definition of Tlr1 and and the equality (95) it follows that the order From definition of equality (95) follows that order of of qq for for modulus ml m1 isis equal equal to to 71 r1 and ~odulu8 qri + u1m1, qTt = 1 + Ulml,
(uj, Pu (Ul' PI ... .pr) . Pr) ==1. 1. .
Let us show the validity validity of the equalities equalities
m = + (u, PI .. . Pr) = 1 and T = - T l . (u,pi...pr)=1 ml Indeed, let m2 = pm1, where p is any number among the primes Pu,... Indeed, m2 = pml, where p is any number among the primes PI , ... ,Pr.
qT=1+um, qT 1 urn,
(96) Let 'T2 r2
denote the order denote order of of qq for for modulus modulusm2. m2' Obviously ObviouslyT2 T2 ~ r1 7"1 (for (for otherwise otherwise we we would would 1 have m2\qT' pm1\Ulml, \uimi, which m2\qr — -11 and pml which contradicts the condition (uj, (UI' p1 PI .. ..p,.) Pr) == 1). 1). . Since, besidesthat, that, p\ml, p\rn1, then by (94) But then Since, besides (94) r2 72 = pTI. PTI. But .
qP7i1 ~ = (1 (1 + + Ulml)' q,,'r qT2
qT2
where u2 'U2
+ u1m2 (modp1 ... .. Prm2), == 1 + Ulm2 (mo,dpl .
= 11 ++u2m2, = U2m2,
u1 (mod pi == Ul PI .. . p,.), Pr), and, a.nd, therefore, (u2, (U2' Pj PI .. . Pr) Pr) = = 1.1. Thus Thus . . .
T
qq
2
= 1 fU2m2, +u2m2, = 1
.
m2 ml
2 (u2, Pl Pu.. = —Ti. (U2' .. ..Pr) Pr) = 11 and T2 T2 = m 7I •
Repeating this being equal equal to to each each P" p', (IJ (ii = 1, 2,. , this process processa,, all— - /9,, P" times with pp being 2, .... ,r), obtain the we obt,ain the equality equality (96). (96). .
(Ch. I,I, [Ch.
Complete exponential sums
42
117
2, pp be a prime, 2, prime" m = pmj, pml, rT and andr1 Tl be be the theorders orders of of qq for for and p2\m, then under moduli mt, respectively. respe,ctive1y. If Tr 1 Tl &l1d undm- any a not not divisible divisible moduli m m and andm1, by p byp
T'HEOR,EM THEOREM8.8. Let Let m ~
7r
. at/' —
2w, '""'. . . . . . . . . . . 2wi - m
L..."e
= O'. ,
•
(97)
1:=1
Proof. Let LetTTdenote denotethe thenumber numberoforsolutions solutionsof ofthe t,hecongruence congruence
== fl"
qUsi,n~ Using
(modm), (mod m),
Lemma 2, we ~ obt,ain obtain
I
7
— qV) =
T=
In
7
2w;
I
In
m a=I z=1
T. But then On the other hand, hand, obviously, obvi,ously, TT = T. In
L '"
2
~ 271 2tri -(' L..." e '"
mT = = mr. = mT mT".
a=I 4,:=1 x=1 ~=1
(98)
Therefore, by (94) 2
(e,p)=I In
=
E s1
= mT mr =
r
in 1ft
Ee27tmn
—
L a1 (CI,,)=, 4=1
USj "'1
,Ta
E Le
. Cll'. 22 21ft -;;-
gjI z=I .:=1
r .a.L..." e ,. '""' . . . . •.:. . . . . 2wi -.-
2
1M
.,=1 x=I
= mT = mT -
—
=
p'Jml TI = 0. O.
4t=1
Hence for for any any CIa not divisible by pp we we obtain obtain the theorem assertion Hence divisible by r
T
.,.
" ,. . . . ~hr' --L..."e ..
E
=0. = o.
1:=1
Let us show that ifif at at least 1e'astone one of of the the theorem theorem conditions conditions and
p2\m
Sums expon,ential function function Sums with exponential
Ch. ch. I, §§ 7]
43 43
satisfied, then the sum is sum (97) (97) might be be not not equal equal to to zero. zero. is not satisfied, Indeed, > 22 be be an an arbitrary arbitrary prime, prime, m and qq be be aa primitive primitive (a, m)=l, m)=1, and Indeed, let let pp> m = 2p, (a, root of 2p. we have 2p. Then we rr
49#1:
2,ri— 'Jr. -;;;;m
" ' " e2 L...i
r". =
x=l
211'1' _4(_2_x-_l_>
P
L
e
"i
2,
= -e =—e
a 211'1 2
2=1. = 1.
x=1 z~p+l 2
r1 is obviously satisfied, but In this example but p2 p2 ~2p, and the the second second example the condition 7r ~ 71 condition is violated. Let now primitive root of p2, = pP — - 11 and, p2, and and q = gP. Then rT = Let now m m = p2, p2, 9g be a primitive using using the the equality (98), we obt,ain obtain
p—i 2ir1—
p2
p(p-l) (a,p)=1
p1 2,ri — L L e ,2 1) pp22
=
1
p-l 211'1 ag"· 2
= pep ( - 1) a=i 4=1 x=1 :1:=1
(a,p)=1
Le
%=1
,
"'"
L...i e ( — 1) aj=i x=1 :1:=1
—
r
max
2 ajgW 2 .. al'z
1'-1 1
e
2tri
211"1--
P
— 1, = pP -1,
aq21
m ~.;p:::l.
In this case the condition condition p2\m p2\m was was fulfilled, fulfilled, but 7 = 1"1. conditions, under under which which the the complete completesums sums S( S(r) Another form of conditions, T) vanish, is shown in the following following theorem.
pr
.. . P~' be THEoREM9.9. Let Let m m == 1 ••• be prime prime factoriza.tion factorizationof ofodd oddm, m,7 r be be the the order of THEOREM for modulus modulus m m and and the quantities /3k,... determined by by the the equality equality (95). (95). If If q for PI, ... ,,{jIJ be determined there exists exists vi/ such such that that Q II > PI! and aa¢.O0 (mod p~l1-fJP), then there
rr
a9~
"'" L...i e211'1m :a:
Proof. Chose Proof. Chose that value value
II,
alJ
=0. = O.
=1
which satisfies satisfies the conditions
> {ill'
a
=
and write a in the form a = = pap -fJp -"'( at, where '1 ~ 11 and Let a1, where and (a', (a', p,,) p,,) = 1.1. Let m == P~" -p" -'Y m', rn' r' and for moduli moduli m' m' and m", m m' = puinU, pI/mil, 7' and i-" T" be be the the orders orders of q for respectively. Since p~., \m, then respectively. then pe l1 +"'t\m'. But then pe., \m" and and by by (96) (96)
T,, =
m" T1, mi
m'
m'
mt
mil
,, = —Ti m' m'" T = -". —r ,, =p,,7". PvT 7 = -71 = mj rn"
Complete exponential sums Comp,/ett
44
[Ch. I, § 17 [Ch.
divisibilityofofm'm'bybype,,+'Y p' it it follows follows also, also, that p~ \m'. Thus From the divisibility
r' t= r",
in' =p"m", = p,,rd', m'
and
TI
(a',pp) =
1.
Therefore, by Theorem 8 T'
Le
.
•
a't/'
21r'-·
m'
=0.
~=1
Since qT in') and in) and m'\m, then Since qr == 11 (mod (modm) then qT qT == 1 (mod (modm') andT1 r' is a divisor divisor of of T. T. Now, using the property property (26), (26), we we obtain obt,ain the the theorem theorem assertion: assertion: r 2,ri. '" L...Je m = L...Je T
('
T
•
' " 211';.!!........
a' ,:II
211'1 - ,
m
.,.1.
= T"
~=1
x=1
a' ,"
r ' " 211"1-,
L...Je
m
= O.
x=1
that the in Note that theTheorem Theorem99requirements requirement,s can can be be relaxed, relaxed, namely, namely, the condition of m being odd may suffices may be h,e omitted. omitted.InInorder ordertotoprove provethat thatit it suffices(see (see[321) [32]) in determining the quantities the. PI, .... . ,,P. equality fl8 to use the equality 1 -- u 0p(Jt 1
q(IL+l)11 q(l&+l)Tl _
pfJ,
" •• ,
where IJ = 1, if m 1 (mod (mod2), in == 0 (mod 2), r1 ;1 == 1 2), q == 33 (mod4), and It = = 00 otherwise, instead instea.d of the the equality equality (95). (95).
THEOREM 10. Let Let m ~ 2 be in) = TUEOREM 10. be an arbitrary arbitrary integer, int,eger, (a, (a,m) 1, (q,m) = 1, (q, m) == i, 1, , and Tr be modulus m. m. Then the order of of q for modulus Then the the estimate estimat,e r
T
Le
(s,. mT
.(aq' +bZ)
2 1r' •
()
~.;m
z=l
holds under any any integer integer b. b.
parts Proof. Since Since the fractional part,s
{a::} m
and and
{b:} T
have the same by (28) same period period T, r, then by (28) the sum (99) (99) is aa complete complete exponential exponential sum. sum. But then under under any any integer integer z
r Le r
2'
11'.
r 2 ' (492+.1: + 6l1:+6Z) bz\ bx+bz\ (49.:6 + 6X) m T = Le 1r. ---m= T
-T-
:1:=1
te x=1
:1:=1 21ri
(ll:; +":)
=
=
te
z=1
. 21ri
(Il':" +":)
,
Distribution of ofdigits di6its in in complete comp./ete period period of 0.(periodic p.riodic fractions fra·ctions
8J Ch. ch. I,I, §§ 8)
Therefore,
~ 211'i ". L...Je
(ata: +6:t) r
m
,211'i
=E
r
~~1
r Ee
r
2
(4f~, r + 6~ )
45
2
r
m
%=1 :.:=1
rr
~
L-Je
z1
2 ' #.
faqzz bz\ 2 (4',##%+":1:) 2 -' m
T
:1:=1
because the congruence Hence the theorem assertion assertion follows, follows, because (modm),
q:t=q"
1 ~ x,y
~ T,
=
satisfied for for xx = y only: is satisfied 2 1~ Ee (8""iiI +6:1:) r ~ - L...J r
9':
2 2iri' 11'1
~ 211'1 L-Je
(a,Zm
%
+6:t) 2 T
z=1 x=1 x1
x=1
T %=1
1
r
T
b(z—y) m "b,(x-,> m
,
. (q:D -q~)z
211'1 -, - ~ 21r1 =— = - ~ L-J e T L...Je
=m =:;:
m m
%=1
T x.,=1
b(x—y) ~ 211'; 2wi "(x-,) r On1 ( qX L...J ee T T
)
-—
q11 q11)
= m, in, =
x%.11·=1 ,y= 1
+hX) Ee2.(4'" m r rr
11'1
2
2
~
y'iii..
x=1
§ 8. Distribution of of digits digit,s in in complete complete period p,erio,d of periodic fractions 8. Distribution Let prime to to m. m. In Let;; be an irreducible irreducible fraction and qq ~ 2 an arbitrary arbitrary integer int.eger prime In writing the q-adic following infinite infinite pure pure recurring q-adic expansion of the number number ii, the following "decimal" to the base "decimal" base qq arises: arises:
~ == [~] ••, ['J ++ 0."Y1"Y2 · · ·."Yx7x· ...,
7x+r "YX+T = =7x "Yx
. .
(x (x
1), ~ 1),
(100) (100)
with a period rT being beingequal equalto tothe theorder, order,totowhich whichqqbelongs belongs for for modulus modulus in. m. Let N!:)(6 1 .••• 6n ) denote the number number of the times times that that the thefollowing following equation equation is is .
.
satisfied: "')'~+1
• • • 7x+n
= 61 • • • 6n
(x=0,1,...,P—1), (x = 0, 1, ... ,P - 1),
where p ~ T and 61 ••• 6,, where P 6n is an arbitrary arbitrary fixed fixed n-digited number in the the scale s·cale of q. In In other words, N!!)(61 .••• on) 6,,) is the number number of of occurrences occurrences of the given given block block 61 ••• On .. .6,, of digits digits of of length length nn among among the first P blocks of blocks . .
.
. .
"')'1 •• ·"')'n, 72...7n-f-I "')'2.·.')',.+1 , ,..., •.• , 71...7n,
"'YP.··"')'P+n-l, 7P".7P-4-n—1,
Complete expon,ent;al exponential "ums sums Complete
46
[Ch. 8 [rh. I,I, §§ 8
by successive successive digit,s digits of the expansion (100). formed by fonned (100). The question question about about the the nature of the distribution of digits digits in in the the period period of of the the The distribution of fraction is is closely closely connected connected with with properties properties of of rational rational exponential sums containfraction;; function. This connection is based based on on the the possibility possibility to to represent represent the ing exponential function. connection is .. . 6n ) in terms of the number quantity N!:)(6 1 ••• number of of solutions of the congruence congruence aqZ
== y + b (modm),
o ~ x < P,
1 ~ y ~ h,
(101)
where bb and and h depend . where depend on on aa choice choice of of the the block block of of digits digits D1 ." . D We denot,e denote the n • We number of solutions of the congruence congruence (101) (101) by ~P)(b,h). (b, h). .
LEMMA10. 10.Let Letquantities quantitiest,t,b, LEMMA b, and h be defined defined by the equalities t
-s—, 0.61 ••• Dn = -, qfl qR
b = [:,::]., b=
•
(2 + 1)m
h
—
[tin
qfl
Then . .
=
.
h).
Proof. Let xx be any any solution solution of the equation 7x+1
=
. . .
•
.
S (0 ~ x
.
(102)
Then we we obtain obt,ain from from (100) (100)
Iaqx) 8x aq ,;} = O."')'x+l • •• 'Ya:+n · • · = 0.1':1:+1 · • ·1X+71 + -qn { -m
= 0.61 ••• 6n + OJ: = t + OJ: qn
I
q"
where 0 < < 8:s; <1. < 1.Hence Henceititisisplain plainthat thatthe theequality equality(102) (102)isissatisfied s.atisfied for for those those and and only those x, for only for which which
t. { -a,qZ } <--, t +1 -< qfl qR m qR
1mj
qfl
O~x
(103) (103)
and h itit follows Since from the definition definition of bband follows that t < b b+1 !—b ~ — .!.+ 1and and b+h b + h ~ 2+1 t + 1 < bb+h+1 +h +1• — qfl qfl 111 qn in m m m then the the inequalities inequalities (103) (103) are equivalent equivalent to the inequalities inequalities
!m
<
{a'Ininqx )} ~ b +\ m (
O~x
(104) (104)
Ch, cii. I, § 8]
Distribution of 0" digits digits inin complete compo/ete period period of ofperiodic periodic fractions (racaons
47
aqz to to modulus m. Then We use use y Y to to denote denote the theleast leastnon-negative non-negative residue residue of of aqz modulus m. Then We
for those those and and only only those x, which !!l- == inequalities (104) (104) are satisfied s,atisfied for \vhich = ~ and the inequalities '" m congruence satisfy the congruence
o ~ x < P,
(modm),
b < y ~ b + h,
or, that is just just the the same, same, the thecongruence congruence aq~
o ~ x < P,
=y+b (modm),
1~ y
~
(105)
h.
But then the coincideswith with the the number the number number of ofsolutions solutions of of the the congruence congruence (105) (105) coincides solutions of of the the equation (102). of solutions (102). The T'he lemma lemma is is proved. proved, of m, rn, Tl r1 the order . . . P:' Let m prime factorization factorization of order of of qq for for Let m be be odd, odd, m rn = p~1 ••• p80' the prime be determined determined as as in § 77 with with the help of . . . ,P8 modulus PI quantities/3k, PI' ... be pi .. ·. ·. Ps and quantities , the conditions _ qrl = pP1 .. P, (uo, PI •. . Pa) = 1. qrt —1 - 1 -uoI···P., P1..
s). Choose We assume assume that that a,, v > r (0 We alJ >>13,, (J" under ii II ~ r and and a,, all ~ {JII (0 ~ rr ~ 8). Choose 13,, under II th _— P1
m1 ml
Pr
a, aa
O'r+l
.Ps · PI .. . . 'P r P Pr+i r+l .. ·P.
Then the order of q for modulus Then
ml
should be be equal equal to should
'Tl
and
r=
T
:1
Tl
by (96).
h1. Then LEMMA 11. Let b=b1 (modmi),h=hl(modml),andh~hl' hmh1 (modmi), Letb::bI(modml), LEMMA1!.
= hh_hiri ']'<':)(b, h) = - hlTI
+ T!,.r:)(bt, h.}.
ml
Proof. Using Using Lemma Lemma 2 we get r-l
T~)(b, h) = =
h
L L6
- b) m ( aq a: -— y —
x=O 1J:=1 y=i z=O
1 m =m z=1
/
(I
h
A
L L
/ Lr 22,v— (,+b)Z)If(r 4%'11:) ,m- · e"m .
.(y+b)z\ —2ai•
1e - 2 1 tm m
,=1
s=l / \x1
By Theorem Theorem 99 the the inner sum of the right-hand side of of this this equality equality may may not vanish By only for for values values z, z, which satisfy the congruences only congruences z
0
(mod
IJ
= 1,2, .. . ,r,
i.e., for i.e.,
z=
. .
=
in1
Complete exponential sums sums
48
= Therefore, using using Tr =
::1
Tl
(Ch. I, §§ 8 [Ch.
obtain (modmi), we obtain and bb == b1 bl (modmt),
mj
aziqr
r
(y-1-b)zi
h
mi m1
=
/
(y+b)zi \ / Ti
h
>2
>2
y1
zt=1 Ti
h
E x1
y=1
x=1
ri
h
—y—bj).
X1 yl
and, therefore, Since difference h -— h1 h t is is a multiple of of m1 ml and, Since the difference A-hi h - hI h—h1 6m1 (aq~ - y_bi)=>2ömi(y)= y - bt) = 6m1 (Y) = - - ,
11
I: >2
L
y=kj+l1 ,=11+
fit
,=1
we the Lenima Lemma assertion: assertion: we obtain obtain the
r,
Tl
rj Tl
hi
>25m1(aq5 y — bi) T!:>(h)=L: — +>2 =>2 Le5ml(aQZ-y-bl)+L
y1
h.h
L Dmt(aq:F:-y-bl) —y >2 Smj(aq2' —
b1)
x=1 y=hi+1 2:=1 ,=hl +1
x=1 11=1 z=1
h - hi ( ) == - T l +T,:t (bl,h t ). fit 1
us consider the question digits in the question concerning concerning the distribution distribution of of blocks blocks cif df digits Since there exist q" distinct blocks complete period of the fraction ii. qn distinct blocks 61 ••• bn , then the mean block of of nn digit,s digits equals :,. T. mean value value of of the the number number of ofoccurrences occurrences of a given block Let Let
. . .
.. . bn ) from Let R n be the deviation of the quantity N!:)(DI ... from its mean 11. Let THEOREM 11. value: N!:)(61 ••• 6n )
Then Then under under odd odd m, m, any n estiIna,t,e is valid: valid: estimate is
~
= q: T + R n •
1, and any any choice choice of the digits digits Si Dl .,. following 5,, .. . D n the following
IRnl ~ IR,,I
1\ ( (1:n )Tt,
(106)
—
where Tl is the order order of of q for modulus modulus being being equal equal to to the the product product of primes primes ent,ering entering the prime prime factorization fact,orization of of m. int,o into the
Proof. By By Lemma 10
. .6,,) = T!:)(b, T,(,,')(b, h), h), N!:)(Ol ... on) =
where T~)(b, h) is the the number number of ofsolutions solutions of of the the congruence congruence aqX
== y + b (modrn), (modm),
o ~ x < r,
1~ y
~
h,
Distribution of 0.(digits digitsinincomplete comp,/eteperiod periodof 0.(periodic p,eliodicfractions fractions Distribution
Ch. I,I, §§ 8] 8]
and the quantities bb and hh arc are determined determined with the the help help of the equalities equalities and 0.61 ••• 6n
t = qfl -, qn
h = [((t+1)ml t + 1)m] h= qfl qn
qfl
J
_[tm]. qfl qt&
—
hi denote the least least non-negative non-negative residue residue of h to modulus mj ml: Let h1
o ~ h < mt.
(modmi), Observing Observing that that h;;;~l is an integer and
rnI(t+1)ml+Itm {(t+l)m} + {tm}, qfl
hh= =m _ q"
we we obt,ain obtain
qn
h—h1
m
h—h1 m nil — mlq?*
qn
J
ml
fm
m —
—
[hi + 1 (f(t+1)mj
mikj
Lmi
ftm
J But then itit follows follows from Lemma 11 by virtue of of the the equality equality i-r = .l!t. Tt , that ml
= =
—
ml Since 0 ~ hI ~
fit -
mi
1qfl
qfl
/
1, then
h1 1 (f(i+1)mjftm [~ll + ~l ({ (t ~;)m }-{ :r:})] qfl m1 J
_{-l —1
_
=
{ Q0
if h1 hi =0 = 0 and otherwise
and and therefore
h1=o and 0
otherwise.
<{tm} {@ qri {(t+l)m} < {tm} qr , }
49 49
exponential sums Comple,'te exponential sums
50
[Ch. I,/, §§ 8
Since Since
o ~ T~,~l)(b, hI) ~ Tl and T$:t1 >(b,0) = 0, we obtain the the theorem theorem assertion: assertion: we
It is easy to ascertain as,cert,ain that that the theestimate estimate (106) (106) can can not not be h,e substantially subst,antially improved. improved. and m m == 22?r -— 1.1. The 2-adic Indeed, let T >1, 1, aa = = 1, and 2-adic expansion of ;; has Indeed, let qq = 2, r> period Tr period 1 a 1 =O.(O...O1)O..01.... -m = -r _ 2 1 =0.(0, .. 01)0 ... 01 ....
2'—l
Choose
01 •••
Dn
= 0 ... O.
Then we get N$:>(61 '" 6n ) =
T -
n and
1 it follows from Theorem Theorem 11, 11, that that Let also, that under under Ti Tl = 1 follows from Let us us note also,
1
Q and mm = 33a• under qq = 4 and where )8n I < 1. It is is so, so, for for example, example, under • In general, for for m m == PIal ••.. .• p.a, under fixed fixed primes primes Pv PII and and growing growing all, the magnitude magnitude Ti T} 18 bounded and the the following following asymptotic formula formula is is valid valid by by (106): (106):
. .
.
5,,)
=
+ 0(1).
Now, let let us establish the occurrence of aa given given block block of of Now, est,ablish the correlation correlation between between the occurrence of digits in period of the fractions fractions + O.'Yl'Y2 •••.'Yz 'Ix... : = [~] + •.• . .
=
and
,, a = [— a ] -—= -fit rni mi +0'1112"'lx'" ml a
a
I
I
I,
(,z+r ('Ix+r
= 'Ix) IZ)
(7x+r,=7x),
where the the quantity ml where ml is is determined detennined as 88 in in Lemma Lemma 11. 11.
Distribution of 0'(digits di,its in in complete complete period ptJriod o( p.riodic (ra,ctions of periodic fractions
Ch. 8] ch. I,I, § 8j
m1 under a THEOREM 12. If Ifqflo\m qRG\m— - ml
u.
certain cert,mn n0 no
~
51
1, then
T_nTl
T - Tl Nm(T)(~UI··· ~) = ----q;-+ N(Tt)(£ '"1 (Il
•••
u.
~ )
6,,. n0 and .. . 6,.. under any n ~ no and any any choice choice of ofaa block block of ofdigits digits fi1 61 •••
b, h, b1, proof. Determine integers t, b, bI , and h1 hI with the help help of the equalities Proof. 0.61 ••• 6n
[tm],
t = -, qR
[imi 1)m] _[tm], qn Lqj
bb=1—-1, = qR h = [(t+1)ml + h=1 qR + 1)nzi 1 hhi=[ = [(1 + 1)m 1 ] _ — 1 qR qn J
[(t
iqi
[tmil b1 ], b1=1——, qR
[tm J.
[(t
=[tm
Then obviously
q"(b—bi) qn(b - hI)
= t(m -
mt} - qn({:::} —
{t;l }),
m1 h1) = qR(h -— hI) =mm—- ml
n(f(t+1)mjf(i+1)mil+ftmilJtm _qR( {(t:~)m} _{(t +q~)ml} + {t;l} _{:':}). J
—
qfl
congruence m Using the congruence
m1 (mod q"), which is satisfied satisfied under under n == ml (modqR), which is
= {tm { tm} qR qn' 1
Therefore,
J
}
n0, no, we get
f(t+1)ml_f(t+1)mi (t + l)m} = {(t + l)ml }. {
qn q"
I
q"(b— qR (b - bbi) =t(m t (m— - mi), ml), 1) =
and, since sinceml mi\m and, \m and and (q,rn1) (q,ml)
~
1.
—
qfl qR
h1) = m — m1,
(107)
= 1,
bb == bb11 (modmi), (mod ml),
hh=:hh11
(modmi). (modmt).
But then, according according to to Lemma Lemma 11, 11,
= Multiply the second equality of (107) observingthat thatTr == Multiply (107) by ~. Then, observing mtt obt,ain obtaIn h—h1 rn—rn1 r—r1 h - hI m - ml T - Tl Tl= - - TT1= I = 1"1 = - - , rn1 m1q" n1l mtqR q" and, therefore,
..!!L1"1' mt
we
Comp,/e,te Complete expon,ent;al exponential sums
52
[Ch. I, §§ 8 [Ch.
applying Lemma 10, 10, we we get get the the theorem theorem assertion assertion Hence, applying ~) = T - Tl ~ ) fi,,) . . Nm,(.,.)(~(,1t··· + N("'l)(~ V n = -n-.- + ml vI··· on · .
.
q
.
m= = pO, p19,where where p is a prime j/', and m1 = 2, m = pP, Let us notice particularly the case q = ml = prime greater than 2. for instance, instance, under under pp = 3, greater 2. Suppose Suppose further /3 {j = 11 (it is so, for 5, 7) and 3,5,7) under n ~ n,o no compare of any any n-digited n-digited block block in in the under compare the numbers numbers of occurrences occurrences of period of 2-adic expansion of the fractions fractions ,Ia and ~. The former former exceeds exceedsthe the latter latter by one one and the same by same quantity (being (being equal to "'-:1). 2 So, for example, under rn = 27 we we get get ml m1 = 3, Tr = 18, Tl r1 = 2 and So, for example, under m = 3. and no n0 = digits of of length length 1, 1, 2, or 3 in the Therefore, the number number of of occurrences occurrences of any block block of digit,s the period of the fraction period 1
27 = O.(0'O'OOlOOlOllllOllOl)O'O... 0.(000010010111101101)00. · ·
exceeds by 8, 4, and 2, of the same exceeds by 2, respectively, respectively, the number of occurrences occurrences of s,arne block of digits digi ts in the period of the fraction 1
3" = = 0.(01)01 ... · Analogously under m m= = 25 we we obt,ain obtain no n0 = 2, a.nd and the of oFcurrences o~currences of Analogously under the number of any block of digits digits of length length 11 or or 2 in the period of the fraction 1 = 0.(00001010001111010111)00 0.(0'O'O'OlOlO'O'OllllOlOlll)O'O... 25 = ...
is 8 or or 4, 4, respectively, respectively, more more than the the number number of of occurrences occurrences of the same s,arne block block of of digits digit,s in the period p,eriod of of the fraction fraction 1
5 == 0.(0'Oll)O'O... 0.(0011)00 ... · These relations relations can be observed under pp = = 3,5, These observed under 7, nn = 1,2,3, 1,2,3, and pO ~ 125 12,5 in the 3,5,7, t,able given below. \ table given below. *
5,3 53
Expon,ential Exponential sums sums with with recurrent recurrent function function
Ch. I,,, § 9]
Table of values of
81 ... 8 -~ 0 P
-
--;-
l1
J...1
1
1 1 25
_I_ 1 125 125
27 27
2 22
10 10
2
9 9 4
11
5
11
11
00 00
2
55 4 2 22
14 13 13 14 77 77
50 50 25 25 25 2,5 25
3
6
11 11
2 2
7 77
11
0
0 00
11
3 2
6 7
1
2
7
1
11
3"3
'99
0
11
11 00 01 10 11 000
11
3 3
0
11
n
001 010 011
0 11
1010 100 101 110
0
0
111
11 11 00
27
81
1
5
5 5 5 5 5 3
11 11 11 11
00
2 2
11 49
2 11 1 1 1 1
11 10
1 1 1 1
3 3 3
00 00
3
2 2
3
12
11
2
13
00
3
12
0
3
6 6 5 5
11 00 0
13 12 13 13
11 0 11 1 1
0 11 0
12
I1
"77
2 22 2 33
Exponential sums with recurrent function § 9. Exp,onential function Let us us consider consider functions functions .,p(x) satisfying s,atisfying the linear linear difference difference equation with conconsta.nt coefficients stant coeflicients
= aItP(x -— 1) + n) tjJ(x) = ... ++ antP(x -— n) +...
(x > n). (x
(108)
that any function "p(x) determined by the recurIt is j,B known (see, for example, [11]) [11]) that recurrence equality equality (108) (108) can can be represented in in the form rence
=
+... +
where rr ~ n, AI, ... ,, Ar are distinct roots where roots of of the characteristic characteristic equation
An
= al,xn-l + ... + an,
(109)
and Pi . . ,, P,.(X) whose degrees degrees are are unity unity less less than than the :PI (x), ... :Pr( x) are polynomials whose the multiplicmultiplicity of the the corresponding corresponding roots roots of of the the equation equation (109). (109). In In particular, particular, if the characteristic equation has no multiple roots, then .
(110) (110)
where where C1,. C 1 , •••. ,, C,, On are are constants const,ants depending depending upon upon the choice choice of initial values values of the the function t/J(x). If coefficients of the the equation (108) and initial . coefficient,s of initial values values 1/J(l), ... ,1/J(n) .
.
. ,
[Ch. [Ch. I,I, §§ 9
Complete exponential sums
54
are integers, then, then, obviously, obviously, under any any positive p,ositive integer x the the function function sb(s) ""(x) takes takes on on integer values. = 1, and at . . , 1/J(n) be not > 1, 1, (an, m) = at least least one one of of the the initial initial values values 1/J(1), .... Let m > a multiple of in. m. In the the equation equation (108) (108) we we replace replace xx by by 3; + + n and and transit tr'Rnsit to to the thecongruence congruence to the modulus in: m:
(modm). ,p(x+n)=a11P(x+n-l)+ + n) + n—i) + ... +a,,,1/J(x) +
(111)
can be expressed in terms of t/J( x + Since (a1,, (an, m) m) — = 1, so in this this congruence congruence t/J( x) can expressed in + , —1, —2,..., we may extend the function 1/J(x) for + n) and, setting x = 0, -1, -2, ... , we may extend 1),.... . . , t/J(x +n) 1), integers x a; ~ 0. O. determined for for integers integers xx by by the congruence (111) and and initial A function function ,p(x) determined congruence (111) . . . ,, "p(n) (see (see [21]) [21])isiscalled calledaarecurrent recurrentfunction functionof ofthe then-th n-th order order t,o to the values .,p(1), ... modulus m, m, and the sum modulus 8um 2 ' t/J(~)
= Ee tramP
S(P)
= s=l
an exponential seenthat that under under nn = 11 exponential sum Bum with with aa recurrent recurrent function. function. It is easily easily seen sums with an exponential function. these sums coincide coincide with with considered considered in in §§ 7 sums Let us show that that aa sequence sequence of of least least non-negative non-negative residues residues of the function t/J(x) to rn'1 —1. modulus in m is periodic perio,dic and that thatits itsleast leastperiod perio'ddoes doesnot notexceed exceedthe thequantity quantity'm" -1. In fact, let let us us denote denote the theleast leastnon-negative non-negative residue residue of 1/J(x) to modulus m by 1:1:: tjJ(X)='IX (modrn), (modm),
o ~ 'rz ~ m -1.
Then by virtue virtue of of (111) (111) 'YZ+R
(modrn). +... + an'rs (mod == al "Y:I:+R-1 + ···+ m).
(112)
Consider blocks blocks of of nn digits digits with with respect respect to the base base m 1,;+1 ... 1z+n
(x =0, 1,...,rn'1).
(113)
Since the number of distinct distinct blocks blocks of n digits is equal to m'1, m R , then among among the the blocks blocks (113) there exist (113) exist two two identical identical blocks blocks
(x2 > x1).
We determine determineTr by by the the equality equality Tr = X2 We
— - x1 Xl
will show show that that under any xx ~ and will
(114) Xl
(115)
Expon,ent;al Exponential sums sums with with recurrent recurrent function function
Ch. ch. ,,I, § 9]
55 56
fact, under x ==x1 In fact, Xl this thisequality equalityisis fulfilled fulfilled by virtue of (114). (114). Apply the induction. x1. In the Let us us suppose suppose that the Let the equality equality (115) (115) holds holds for a certain xx ~ Xl. the congruence congruence (112) we replace replace x by Z + + rT ++1.1. Then (112) we Thenusing using the the induction induction hypothesis hypothesis we we obtain obt,ain 7x+r+n+1 /$+r+n+l
.. . + anl'x+r+l == all'x+r+n + ··· (modm), =all'x+n+...+an7x+l Yx+n+1 (mod = all'~+n +··· + llnl'x+l == 1'2:+n+1 m),
therefore, 12:+r+n+l 7z+r+n+1 = = 1:c+n+l. 7x+n+1. But But then and, therefore, 7x+2
7x+n+1 = 7r+r+2
. .
. 7z+r+n+1,
hence the the equality (115) hence (115) is proved proved for any xx ~ x1. Xl. By By means of of such considerations considerations weget get this this equality equality for for xx < <x1 we Xl as as well well (but in this case, 1X should be expressed from congruence (112) (112) in terms of 1'%+1, ... beforehand, and and that could the congruence could be done .. ,,1'x+n 7x+n beforehand, = 1). because of (an,m) = Hence itit follows follows that that the least residues of of the the function function "p( x) have Hence least non-negative non-negative residues have a
period T, r, where period where 11 ~ Tr ~ m n. Let Let us assume 88sume that least period perio,d is is equal equal to to m's. mn• that the least Then any any block of nn digit,s digits should should occur occur among among the the blocks blocks (113), (113),and, and, in in particular, particular, Then block of . .00 being formed by zeros zeros only onlyisispresent presentamong amongthem. them. But then the block 00.... then by by (112) (112) all terms of the sequence will equal equalzero zeroand and its its least least period equal 1, all sequence of the residues residues will that contradicts contradict,s to the the assumption. assumption. Therefore, Therefore, the least least period period of the function function t/J( x ) does does not exceed m n -— 1. sequence of the least least nonnonHenceforward Henceforwardwe welet letTr denote denote the least period of the sequence negative residues of the function negative residues modulusm. m. It It is is easily easilyseen seenthat that Tr is is the function ¢( x) to modulus period of fractional of the the function .function tP~): period fractional part,s parts of
= 7z+r =
I
7x
=
rn
Therefore, the sum
S(r) =
rT
Le
2. "'(x) 'll"tm-
x=1
is a complete exponential sum" sum. Since is Si.nce under integer a
fin'
fa(x+rfl r
1
—
faxl
then by (28) under any integer a the sum ax
D
e
is aa complete sum as is as well. well.
complete exponential Comple,te expon'ent;a' sums sums
56
[Ch. I, § 9 [Ch.
recurrent functions functions satisfying satisfying the the equation equation (108) (108) and de(si),. ,tPn(x) , Let tPl(X)"" be recurrent termined by initial initial values values . .
x=j, = i,
if
3:
if if
1 ~ a: ~ n,
x
~
(j
j
= 1, 2, ... , n).
It is i.s easy to show show that
+ 1)""1 (x) +···+ + ... + t/J( z + + z) = t/J( z + + n )tPn(x). t/J( x +
(116)
In fact by by virtue virtue of of the the linearity linearity of of the the equation equation (108), (108), any any linear linear combination combination of its solutions is aa solution too. In it,s solutions i,B solution too. In particular, part.icular, the the sum sum in in the the right-hand right-hand side side of of the the equality (116) is a solution of the equation (108). (108). From the definition of the functions , n the initial values that under xx = 1, 2,. .. ,n of this this sum are equal to tPj(:J:) it is seen tha.t 2, ... values of + 2),. . . ,, t/J(z + + ii), + z) has tjJ(z + 1), 1/J(z + 2), ... n), respectively. respectively. The The solution solution 1/J(x + has the the same same + 1), initial values. But But solutions, solutions, which which have have the same same initial values, values, coincide. coincide. Hence the equality (116) is is proved. proved.
=
THEOREM 13. Let 1/J(x) be be aa recurrent recurrent function function afthe of the n-th n-th order to the modulus in, THEOREM 13. m, r. Then be its its least least period, and P ~ T. Then we we have the estimates estima,t,es r be
T
r 2 . "'(~) ~
L-J e
>
11"
-;;;-
~ 2 · ,,(:t)
!!.
n n
L..Je 71"-;;;- ~m2(1+nlogm). m2 (1 + n log m).
~ m2, m2,
z=l
:.r:=1
Proof. Since Since under under an integer integer a the the sum sum rr
Le
Sa(r) =
211'i
ax (""(3:) +.!!) r
m
3:=1
is a complete sum, then under i.s under any any integer integer zz
r
.fv,b(x+z)
(,p(x+z)
r
m
Squaring and summing suuuning over over zz yields yields
r L Le (",e +
r—1 r-l
rlSa(rW =
r
x z) 2 '. (e,&(x+z) 11'1
z=O ~=o
x=1 %=1
m
-;;;-
ax\ 2 +82:)
2
T
.
(117)
57 67
Expon,ential Exponential sums sums with with r«urrent recurrent fu-n,ction function
Ch. ch. I, § 9]
least non-negative residue of of the the function function We let 1': 'Yz denote denote the least non-negative residue We
t/J(z) to modulus modulus
m. in. Then by (116) + 1)""1 (x) + + z) = = tjJ(z + +... +n)v5,,(x) ,p(x ... ++ tjJ(z + n)t/J,,(x) v5(x + (modm), == 1~+11/Jl (x) + ... + 1z+n 1P,,(x) (mod m), and, therefore,
rr y,'(s) n ~ 271'1L..Je m = ISa(T)I IS.(r)1 ~ m 2 • = I
(118)
.2:=1
1,.... . . ,, T,- — modulusm, m, then then under under zz == 0, 1, Since r'r is the the least least period period of of 1% to modulus - 1 1 all n digits are distinct. Therefore, blocks 'Yz+l '1z+1 ... Therefore, extending the summation to to . ;.r+n of n . of nn digits, we obtain . . . z,2 all possible blocks %1 ••• all Zn of .
I
r
p—I
ax\
2
m
TISa(T)I2 x=1
rr
=
~
L..J e
m-l
a(x—y) .4(X-II) 2,ri 211'1--
L
r
x ,y=I z.,=1
"("'1(.1:)-.1/11(')
e
2 11"1
m m
%1
+ + t/J,,(Z)-.pR(J/) '""
m m
ZR
)
%1 ' •• "'Z" =0
r
~ rn n
L
=m9', bm [1/Jl(X) -1Pl(Y)] · I. b,n [tPn(X) - tPn(Y)] = mnT,
(119) (119)
Z I z,,=l
where
is the number T number of of solutions solutions of of the the system system of of congruences congruences T is
~.(~~~.~(~~} 1
(modm),
1 ~ x,y
~
r.
(120)
tPn(x) == tPn (y ) Let us us assume assume that this this system system has has aa solution solution with y Y ~ x. Wiihout Withoutloss los'S of ofgenerality, generality, we may may assume assume that that yY >> x. we x. Using Using the theequality equality(116), (116), we we get get
+ n)"pn(x), = t/J(z -— x + + 1).,pl(X) + ... + + tP(z -— x + tjJ(z) = t/J(z + y - x) = t/J(z - x + l)1/Jl(Y) + + tjJ(z - x + n},pn(Y). Hence by by (120) (120) it follows that under Hence follows that under.any .any integer integer zz
1/J(z + + y -— x) == t/J(z) (modm). is the least period, But then theny'II— - x is a period perio,d of 1%, and since since rr is period, then theny'II— - x ~ r, which leads to to a contradiction. leads contradiction. Thus, Thus, the thecongruence congruence system system (120) (120) has no no other other solutions solutions except for for solutions solutions with with yy = x and, therefore, T = T. r. Now from from (119), (119), we get except therefore, T
rJSa(r)12
m"T = in"r,
n
ISa(r)1 ~ m 2 , ISa(r)I
(121)
Comp,/e,ta sums Complete exponential sums
58
[Ch. I, §§ 99 (Ch.
= 00the thefirst firstassertion assertionofofthe thetheorem theoremfollows: follows: Hence under aa = rr n . t/J(:t) 11 LJe2"& -m = = ISO(T)I lSo(r)I ~ m 2 •
~
z=1
followsimmediately immediatelyfrom fromTheorem Theorem22 and and the The second assertion of the theorem follows estimate (121): r
az\
(1 +logr)
max
x1
x=1
n
= max IS.(T)I(l = 1~a~r
+ logr) < m 2 (1 + nlogm).
Note that that in in the thegeneral generalcase case the the order order of of the the estimation estimation r . f/J{z) 211'1L..-,e m
~
n -
~m2
z=:l
from the theory of finite be improved improved further. Indeed, Indeed, using using considerations considerations from can not be fields (see, (see, for forinst,ance, instance, [33J), [33]),ititcan canbe beshown shownthat thatunder underany anyprime primepp> ~fields > 2 and
positive integer integer n
=
(122) (12'2)
By By virtue of properties of symmetric symmetric functions functions there there exist,s exists an an equation equation with with integral coefficients pR = == b1pn-l + +... ...++ b,., . , A~, respectively, whose roots equal A¥, .. ., and the the free free term is relatively root,s PI, respectively, and , pj,.... . . ,IJR prime to p. Consider from (12'2) (122) that Consider the the functions functions tjJ(2x) and t/J{2x + + 1). ItIt follows follows from
+ .... .. + CRP:, 1/J(2x) = := C1IJf + 1/J{2x + 1) := CtAtP: +···+ CnAnp:.
+
of the the n-th n-tb order to the modulus Thus, t/J(2x) and t/>(2x + 1) are recurrent functions functions of modulus satisfying the equation p satisfying t/J*(x) = = bl 1/J*(x -— 1) +... + batP*(x -— n). +.. . +
p. Under r1 = iT Denote by 'Y~ the least non-negative non-negative residue of "p(x) to modulus modulus p. Under Tl we get* get· 72(x+ri) '1'2(:I:+rl) = 'Y2~+T = p,eriod being equal to Ti. TI. 72x and, therefore, 'Y21: has a period = 72x+r = 'Y2:r; ·8' · 0odd, dd is Since IDee p IS ' J then t h,en 11
=
p"-I" 2 - is IS
an integer. Integer.
59 59
Exponential sums sums with with recu"ent recurrent function function Exponential
ChI 9] ch. I,I, § 9)
Let us assume assume that r1 T1 is not the least period. Then Then we we can can find a positive positive integer such that under <<Ti, T1, such under any any integer integer xx
1'2 1•2
(modp).
(123)
Applying the equality (116) we obt,ain obtain Applying "p(2x + +2r2) 2T2) = = t/J(2,X)t!J1(2T2
+ nn— + 1), + 1)1)+... - 1)tPn(2T2 + + tjJ(2x + +... + + n - 1),pn(1). t!J(2x) = = ""(2$)"'1(1) +... + .,. ++ t/J(2x + —
But then by (123) (123) the congruence congruence
+ ... +
[#i(2T2 + 1)—
+ 1)—
0
(modp) (124)
under any any integer integer x. x. From should be fulfilled fulfilled under From properties properties of solutions solutions of the system (120), itit follows followsthat that a,t at least one is not congruent to (120), one of of square brackets in (124) (124) is to zero zero to modulus modulus pp and, therefore, therefore, the the number number of of solutions solutions of the congruence congruence (124) (124) does does exceed pn-l — - 1. On the other other hand, hand, according according to the the definition definition of of the the function function not exceed under xx = = 1, 1,2,... yield distinct solutions t/J( x) under 2, ... ,r1 ,"'1 n-tuples n-tuples1'2z, 12%, 12:.:+1, .•• ,12s+n-I yield solutions . .,72s+n—i of this congruence. Since Since obviously obviously Tl
= p"— n-11 pfl_i = P_- > > pn-1 2
-— 1, 1,
then arrive at aa contradiction tpen we arrive contradiction and, and, therefore, therefore, r1 Tl i8 is the last last period p,eriod of of 72x. 12x' Analois gously we get that the least period of '12z+i equal to r1 as well. Now, gously we get the least period of 1'2:1:+1 Tl well. Now, in the same s,ame fashion as in the deduction of (118), we arrive at the equalities fashion as of we arrive equalities
Ee Tl
Tl
,""(2:1:) 22 •
2iri 2111
e
- ,' -
ri—i Tt-l
x=1 2:=1 Tl
Tl Ti
Ee
2
,';(2z+1) 22
•
"'.,
x1 z==l
Ti Tl
=E = =
Ee
. ' "2.+1 "'1 (2%)+"'+"2.1+" "n(2:':)
2
e
8".
L Ee
2iri 2
z=O ,=0
z=i ~=1
Tl-1
Tl
z=O %=0
x=1 s=1
.
p
2
2 ,
112.1+27/11 (2z)+ ••• +11,.. +I+" 1/1" (2:1:) 22
,"
,
•
Hence by by virtue virtue of the choice Hence choice of the function ,,(x), it follows follows that that
/
Ti Tl
~
ri( LJe >e
Tl
•. ,,(21:) 2irs 2 71'1--
" P
(
22
Tt
+ +
z=1
= =
~
LJe
• 2irt 271'&
1/1(2a:+l)
,"
2) 2
z=l
It-I,
Tl Ti
%1 .... "n=O
:1:=1
>:I Ee E z=I
•.
21r1
1 (125)
.ll1J1t(2s)+... +.a'n tPn(2:1:) 22 l'
,
________
Complete exponential sums Complete sum's
60
[Ch. [Ch. I, 5§ 9
,
indicates the deletion where the sign sign ', in the the sum sum "".. deletion of n-tuple z1,. Zl, ••• .. ,Zn, LJ.,l.·· ....." zeros entirely, entirely, from from the the range of of summation. summation. Let T1 formed by zeros T 1 denote the number number of of solutions of the system system of of congruences congruences 40'
~.(~~).:.~l.?~.)}
(modp)
1 ~ X,y
= tPn(2y)
tPn(2x)
In the same a,arne way way as as in inthe thesystem system(120), (120),we wehave haveT1 T1
= T1
rj
p—i
~ T.
and, therefore,
2
=p'2T1
>
x=i
But then (125) (125) can be rewritten in the the form form
/
Tt
Le
rj
•
t/J(2~) 22
2'J1"1--
P
2
2
.
Le Tl
+ +
• 271'1
"'(22:+1) 22
"
P
>
x=l
pn+l == = Pp"n -— Tl = - .. 2
x=l
(126)
We We determine 18*(Tl)' equality (r1 ) with the help of the equality
IS*(Tdl = max
/
— " ~e >e rj
Tt
"'"
(
.
t/i'(2z) "'{2:t)
2'J1"1 - -
p
Ti Tl ,I
•
2ira
~e 2'J1"1
"'"
t/t(2~+1) ) p
•
Then from (126) (12:6) we we get get • 12 IS (Tl) ~
pR + 1
-4-'
IS*(rl)I >
Hence by > 22and > 11 there there exists a by (117) (117) itit follows followsthat thatunder underany anyprime primep p> andany anynn> function of of the the n-th order to the modulus such that that for recurrent function modulus pp such for the exponential S*(r) sum S*( Tl)the thefollowing following estimates estimates
1
!!.
"2 p2 < IS*(Tdl hold.
!!.
~ p2
________
61 61
Sums of of Legendre's S.ums Legendre's symbols
Ch. I, § 10] ch. 4
io. Sums § 10. Sums of of Legendre's L·egendre's symbols symb,ols Let Pp>> 22 be = an a0 + alx polynomialwith withintegral integral Let be aa prime, prime, 1(x) f(x) = a1x ++ ....., + + anx R be aa p,olynomial coefficients,n n<
denote the number number of of solutions solutions of of the the congruence congruence and Tn denot,e y2 =. f(x)
The quantities Tn and
Un
(modp).
(128)
by a simple relationship are connected by
=P+7n.n . TR=~[l+(f~))] =P+CT
(129) (12'9)
This relationship reduces reduces the question on the number of solutions of the congruence (128) (128) to studies of of sums 8ums of of the the Legendre Legendre symbols. symbols. The sums (127) for polynomials polynomialsof ofthe the first first and and the second (127) are easily easily evaluated evaluated for second degree. function with with aa period perio·d p degree. Indeed, Indeed, since since Legendre's Legendre's symbol symbol (;-) is a periodic periodic function and under under (a1 (at,, p) = 1 the linear function a0 ao + a1 al xx runs runs through through a complete residue system modulo p, when x runs through a complete residue system modulo p, then system modulo p, when x a complete then
tE(ao+alx) t (=-) = o (a +alx) = P
x=1
O.
P
2:=1
In order to evaluate the sum Bum CT2
at:
(aoo+ a1; + a2;2) = ~ (a + + a2 x ) ,
=
2
we consider consider the congruence we y2
== x 2 + a (modp) (mo,dp)
and denote the number number of of its its solutions solutions by by T(a). T(a). Obviously, Obviously, p
T(a)= T(a) =
L
2 tS,(x2—y2+a) c5p (x - y2 + a)
x, y=1 2:.11==1
= 11 p-l
2 . as GZ 2,r, —
=-LeD"p p z=0 z=o
1
2 2 ' Z(x _,2) elM II
pP
E
2,rt
:1:,,=1 —1 p-l
=p+-Ee P z=l
211'1!.! II
P
Le 2;:=:1
22
271'1 .!L II
22
•
[Ch. I. , 10 {Ch.
complete exponential sums
62
we obt,ain obtaln Using the fact that that the themodulus modulusof ofthe theGaussian Gaussian sum sum equals equals ~, we p—I ,-1
.••
= p+ Le '" p = p + ,,6,.(a) -
T(a)
2
1, I,
~l
and, therefore, by (129) and. (12,9) (.. . a: 2
,
+
a) = p6,.(a)-1.
L -P. . - •
(130)
:1=1"
Let a2
~
0 (modp). (mod p). Then Then observing observing that that o
(~)(4;2)=11 \pJ p 1 =1, we get
= =
0'2 a2
a,) t (.(4aOaa • 4aoa ++4a1a2x+4t4r2) 4ala2% + 4a~%' )..
(.(aa)
2
p . • =1
P
.'
((2a2x + ai)2 + 4a0a2 + al)2 + 44oa, -— a~ )..
=
= (a,) L.il'. (.. (242 % p" .,=1 .'
= 2 = (a ) p
t (.
p P
+ 4aoa, - a~)....
%2
P P
*'·1 .
Hence by by (130) (130) itit follows followsthat that under under (02, (a2, p) p) = 11 Hence 0'2 -_
"' LJ'. ( ao
2 c (.'.4". aoG2. - at - .1] · -_ ( a. )·.·.· .· [.'po, '. .' p
+ al% + a2%' )
.=1 ..
P
2.' )'..
—
(131)
Note that) that, in particular, Note
~ ('.'% - 0)·.·· (·····S -
L J -.:=1'
-
P.
P
6) = ,,6,,(a - 6)-1.
- •••
(132)
Indeed, this thi,8 equality equality follows follows at once once from from (131): (131):
t
p
• =1
(% -a).. (:I: - 6) = t
p
P
. P
.'=1 z=l
((ab—(a+b)x4-x2 • + +
2
6):1:
a 6- (a
:1:
)•.
P
:::: p6,[46," - (0 + 6)2] - 1 = ptS,,(a - b) -1.
Under n ~ 3 the investigation Under i.nvesti~ation of the sums sums a,, (lR is i,amuch much more more complicated, complicated, except except cases. for some special cases.
of Legendre's Sums 0.( Legendre's symbols symbols
ChI 10) Ch. I, § 101
63 63
cases. Let n ~ 3 be be odd, odd,pp> (a1,p) > n be be a prime, prime, (aI, p) = 1, Consider one of such special cases. and
(xi' +aix x=1
show that Let us show
~ ( zn :
alZ )
I~
(133)
(n - I)JP.
In fact, complet,c fact, since under z ~ 0 (mod (modp)p) the the linear linear function function zx zx runs runs through aa complete residue system system modulo modulo pp when when xx runs runs through a complete residue residue system system modulo modulo p, p, residue then P /flIZi-rcZiZZ ç—fZX
x=1
Therefore,
Iun(alz n- l )/= I
=
~(znzn:alznz) ==
t,(zn: alz ) ==lun(at)l. Iun(ai)I.
and summing summing over z, we we obtain Squaring this equality and
1)Ian(ai)12 (p (p-l)lu n(al)1 2 =
,-1 P—i
p-l p—i
~=1
~=1
Elun(alz n- 1 )1 2 == Et('x)lu n ('x)1 2 ,
where teA) is the number number of of solutions solutions of of the the congruence congruence n 1 alz -
== A (modp).
that Since t(A) teA) ~ n -— 1, then from from (134) (134) it follows follows that 1) (p — -1)
lun (al)1)122
1) ~ (n — -1)
p—i ,-1
E IU (A)1
2
n
~=1
=(n-l)?; ztl (zn;,Xz)
(yn;,Xy)
x,y—i
= -1) 1) = (n —
E (:l: t Y)
~=1
p
x,y=1 z,y=1
+ (.\ + (A + x"-l) (A + yn-I). p p P
P
Hence, using the equality equality (132), (132), we we get the estimate estimate (133): (133): Imn@i)12 lun(at)l 2
— yfl_I) ~ n=~ ,-1 E ( zy ) [p8p (zn-l_ -1]1] y n-l) —
I
p
£ (?)
:1:,11=1
(n—l)p = (n = __ ?p P Icrn(ai)I lu,.(al)1
~ (n
P
.E (X )6 (x z.,=1
-l)JP.
Y
p
p
n-
1_— yn-I)
~ (n _1)2 p, —
(134)
[Ch. [Ch. I,I, § 10 io
Complete expon·ential exponential sums CompJe·te
64
Tinder odd n Under odd
~
for the general case also: p) = 11 the same estimate holds for 3 and (an, (an,p) also:
t
(ao + alX + ... + anx
~=l
~ (n -1)y'P.
n )
(135)
P
For n = 33 this under an arbitrary nn ititfollows thi.sestimate estimatewas wasobtained obt,ainedby by Hasse Hasse [13], [13], under follows from more general results of A. Weil [48]. One can acquaint with elementary methods result,s Weil [48]. One can acquaint with element.ary for obtaining thesums sums(135) (135) by bypapers papers[35], [35], [42], [42], and and [31]. [31]. for obt.aining estimates estimates of ofthe for polynomials polynomials of of the the second As it was was shown shown above, above, sums sums of of Legendre's Legendre's symbols symbols for degree Gaussian sums. sums. Let Let us us show show that that Gaussian degree can be evaluated with the help of Gaussian used in in estimating estimating the thesimplest simplest incomplete incomplete sums sums of of Legendre's symbols: symbols: sums can be used p
o(P) u{P) = = ~ (;)
(P < p).
Indeed, in the same Indeed, same way way as as in in the the estimation estimation of of incomplete incomplete exponential sums (see (see Theorem 2), we obtain p—I p-1 (
u{P)=?; x=1
p—i(/ ). ,-1
P P
)
~ ~6,{x-y)=~?; y1
;
x=I
P P
p—I p-1
y=i
z=O
z(x—y) . %(X-II)
~~e2WI-p-.
Hence, alter interchanging and singling out the summand Hence, after interchanging the order of summation summation and singling out that with z = 0, 0, by by (41) (41) and and (42) (42) itit follows follows that u{P)
=! ~
(t
.t=1
11=1
=p
P P
1 p—I ,-1
Ia(P)I ~ p~ ~e lu{P)1
e-
Z:) (E (~)e27fi z:), P
2:=1
In,
P1 ,-1 ( ) ~ ~
2 ' zfI
zIyl
~
21Fi
1
p-l
mm y'P ~min
(
P,
2 . zx Z'X
— e WI,
xi
1)
211~11 ~
y'P log log p. p.
Thus we we obt,ain obtain the estimate Thus P
?; (~)
~ y'P log p.
log pp this this estimate estimate isis better better than the trivial Plainly, > y'P log trivial one. Plainly,under underPP> The availability availability of a nontrivial estimate P E . (:.)
z=1
p
(136) (13-6)
65
Sums 0" of Legendre's Sums L'cendre's symbols
Ch. 10) ch. !,I, § 10]
signalizesthat that on on the the interval interval [1, [1, P] P] there is is at at least one quadratic nonresidue modulo signalizes
Po denote the least that p. least quadratic quadratic nonresidue. nonres'idue. From From (136) (13-6) it follows follows that p. Let Po 1
O(p22 log p). p] = = O(p + [v'P log p] Po ~ 11 + p).
under any e > 00 the According to the conjecture conjecture enunciated by I. M. M. Vinogradov, Vinogradov, under estimate Q(pe) p == O(p~) Po
is valid, valid, where wherethe the constant constant implied implied by by the the symbol symbol "0" "0" depends is depends on e only. only. In this direction, the strongest result has the form In Po =
0(p7),
where any numb,er number greater greater than ~. A of this this result result [4] based upon upon the the where 'Y'y isis any A proof of [4] isis based use of the estimate (135). the Hasse—Weil Hasse-Wei! estimate Let Let N1 N 1 and N2 N 2 be, be, respectively, res'pectively, the number number of quadratic residues residues and quadratic quadratic nonresidues nonresidues to to modulus modulus pp among the first PP positive positive integers. integers. It it is is easy easy to obtain obt,ain asymptotic formulasfor for Nt N1 and and N N2 with help of the estimate (136). Indeed, asymptotic formulas with the estimate (13,6). 2 observing that that the the number number of of solutions solutions of of the the congruence congruence observing y2
== x (modp),
1~ y
~ p,
1~z
~
P,
under P
(y2 — x)
[1+
=
x=1 y=1
x=1
where where101 16) ~ 1 by (136). (1S,6). Hence, Hence, since
(f)]
=p+
log
p,
N1 = P, Nt + N2 N2 = P, we have
1
1
N1 = 2" P + log p, Nt = + 2" 06 v'P log 1 1 N2 = 2" P N2 = p -— 2" 08 v'P log p. concerning the distribution of of quadratic quadratic nonresidues nonresidues in aa sequence sequence of of A question concerning values values of recurrent functions is is worked worked out out just justas aseasily. e'asHy. Let function of of the the n-th order (n ~ 2) Let pp>>22 be be aa prime prime and and "p(z) be a recurrent function 2) with a period i- to modulus p. Let N0, period". No, N1, N 1 , and N2 N 2 denote, respectively, respectively, the number of zeros residues and zeros to to modulus modulus p, p, quadratic residues and quadratic quadratic nonresidues nonresidues in in aa perio,d period of the function t/J{z). x). Obviously, Obviously,
No
r.,. p—i 1 rr p—I ,-1 · %t/I(~) 1 ,-1 ' " c5p[tP(x)] = - " ' " " ' " 2.... = "L...J LJL...Je p = -T +- "'" L...J &-
~=1
P x=1 z=1 z=0 %=0
',
P
r
. %tP(s) .
"'" 2..t L...Je '.
P z=I .-=1 z=i 2:=1
__________
(rh. I,I, §§ 10 [Ch. io
complete exponential Complete exponential sums $,ums
66
Hence, using Theorem 13, 13, we we get
r
z=1
x=:1
.z4'(z)
/
T
N0 = where
p—i
(137)
Theorems 33 and 13, we obtain 180 1 ~ 1. In the the same s,ame way, way, using Theorems we obt,ain r
+ 2N1 = N0 + No 2Nt =
=
1
p
L: L: 5,,D [1/J(x) yl z1 z=ll1=l
p
—
y2] y2]
r
=-L =
p
,,-1
L: L: e
x=1 31=1 z=O P ~=t ,=1 z=O zy2\ / r
. .l:[",(z)-1I 2 ]
21r1
P p
/p T+; ~ (t,e*:2) (~/1ri I~;X»). p—i
21ri
z=1
5=1
y=l
Therefore, Therefore, p—i
2,rt— p
1
r
31i
s=1 1
1
n+1
(138)
(137) and (138) (138) we we get get the the asymptotic Now, observing observing that that N0 + Nt N1 + +N N2 = T, r, from (137) Now, No + 2 = formulas for N1 Nt and and N2: N2 : N1 Nt
p-l
p-l!!.
p-l
p-1!!
= 2PT+2PP2(6tJP-6o),
N N2 2 = --T 2p
--p2(81 JP+6o). 2p
perio,d of of the the recurrent recurrentfunction functionisissufficiently 8'ufficiently large, If the period
r
>
+ 1),
(139)
then the magnitudes and, therefore, both quadratic then magnitudes N1 Nt and N2 N 2 will will be positive positive and, therefore, both quadratic residues and and quadratic to modulus moduluspp will will occur occur among among terms terms of of the the residues quadratic nonresidues nonresidues to recurrent sequence. of the the third order recurrent sequence. Note that that for for sequences sequences of order the the condition condition (139) (139) is nearly of the best possible of the the third order, i.s possible kind. By By (139) (139) recurrent recU1TeIlt sequences sequences of order, nonresidues to modulus p. whose period period is is greater than whose than p2 p2 + pJP, contain quadratic to~ +
67
Sums of symbols Sums ofLegendres Le~end,e's symbols
Ch. ch. I,/, §§ 10]
shall show show that that there of the the third order We there exist exist sequences sequences of order with with period period !(p2 -— p), We shall do contain quadratic nonresidues. which d: not contain quadratic nonresidues. o which satisfying Indeed, let 9g be a primitive root to modulus p. Consider the function 1/J( x) s,atisfying the equation equation of of the the third order
=
—
1)
— 2)
—
+
—
3)
and determined by initial initial conditions conditions '¢(2)
= 4g 4 ,
= x2 g2x • Obviously, Obviously, the the sequence sequence of of values values of this is easy easy to verify It is verify that .,p(x) = function does does not not cont,ain contain quadratic quadratic nonresidues. nonresidues. Let Let Tr denote the least period of the function function ¢(x) to modulus p. Then Then the the congruence congruence (x +
x2g2z
(modp)
T = = l(p2 -— p). Thus, under under nn == 3 the bound Thus, bound (139) (139) for for the the magnitude magnitude of of periods perio'ds of recurrent recurrent functions, in in whose whose values valuesquadratic quadratic nonresidues nonresiduesoccur, occur,has has the the precise precise order order and and the functions, constant in it cannot const,ant cannot be be improved improved more more than than twice. twice.
holds for for any any integer x. Hence we get without difficulty holds we get difficulty that
CHAPTER II CHAPTER WEYL'S SUMS SUMS
11. Weyl's method § 11. metho,d In Chapter Chapt.er I,I, the theWeyl Weyl sums sums of of the the first first degree degree were were considered considered and it was was shown shown that the the estimate estimate
~
211'i cu:
~e
~
•
--: mm
(p'211all 1)
(140)
holds for The basic basic idea idea of of Weyl's Weyl's method consists in reducing the estimation estimation for them. The of aa sum of an arbitrary arbitrary degree degree n ~ 2 p
Le
S(P) 5(P) ==
2 11'i(Q 1 :t+...+a n
n X
)
~=l
—1and, and,ulti.mately, ultimately,to to the the use use of of the the estimate estimate to the estimation estimation of of a sum sum of degree n -1 (140). We sum in in (140). We have already met the the reduction reduction of the degree degree of an exponential exponential Bum proving the the theorem theorem on on the modulus modulus of of the the Gauss Gauss sum. sum. In th.e the Gauss theorem, proving theorem, the square of the modulus of was transformed a·quare cif the exponential exponential sum of the second second degree was with the the help help of oflinear linear change change of of variable variable in summation into aa double double sum, sum, in in which which one of summations was reduced to the evaluation of a sum of the first first degree. degree. Similar Similar but technically are used used for for the the reduction of the technically more more complicated complicated considerations considerations are the degree of sums in the degree the Weyl Weyl method as as well. well. inequalities: In deducing estimates estimates of of Weyl's Weyl's sums sums we we shall need the the following following inequalities: p
p
k—lp
(t,UZVZ)k ~ (t,uz)k-l t,UZV~1 k
(t, vs) ~ t, V~, (t,usvs)2~ t,u~ t,v~. k
pk-l
(141)
(142)
(143)
ii] Ch. I!, II, §§ 11]
69
Weyl's m·ethod method Weyl's
0, and and an arbitrary These arbitrary positive positive integer k. k. These inequalities hold under U x ~ 0, V x ~ 0, Let us prove the inequality (141). Let (141). Denote D·enotc by by 0k Uk the sums P
(To
= LUx, =>Ux,
(k= (Ie = 1,2,...). 1,2, ...).
0k
x=l
and kIe = 1, then the inequality (141) is trivial. trivial. We = 00 or Uo "I 0 and (141) is We shall assume If CO = If 0'0 Uo =F 0 and k k ~ 2. Since that that Co k 1:-1 V x -— V ,I Va:
+ V lIk —- V:r;V lIk-1 == ( V z —- v, ) (k-l Vx
1:-1) ........ 00, -— V y ~,
then, obviously, p
L
o0 ~
>
UXU1I(V~
— -
1 UI:-1)' + vv:— clck_1). VyV~-l + - Vxv:- ) = =2(uoCk 2(UOUk -—U1
S x,y=1
But then 2
C1
Cit_i
...
jOk—2
C0
k C1
Co
and, therefore, The last inequality inequality coincides coincides with (141). (141). . The inequality inequality (142) (142) is is obtained obtained from from (141) (141) under under Ul = ... ==up up = = 1. The inequal=... ity (143) follows from (141) (141) also. also. Indeed, denote by E* the sum extended over those follows from values x, x, for which U x =F O. we obtain the inequality inequality values 0. Then, Then, setting setting kk = = 2 in (141), we (143):
p
p
2
2
P
P
P
P
= Let Y1 f(x) totodenote an integer. integer. We We shall shall use use 6./(x) denote aafinite finite difference difference of a Yl ~ 0 be an Y1
function lex): f(x): function 6./(x) 111
Under k
~ 1
= /(x f(x + +y') Yl) - f(s). I(x). —
we of the the k-th order we determine a finite difference difference of
help of the equality help Yk
V1,...,Yk—1
f(s)].
6.
'1.···".
f(x) with with the the f(s)
[Ch. [Ch. II, I!. §§11 ii
Weyl's sums
70
It is easily seen that
6.
rl,···,1~
f(s) f(x) does does not not depend depend on on the the order order of of the arrangement arrangement of of
for instance, quantities Yi,. 111, ..•. ,11k. inst.ance, , Yk• So, for t.1 fez)
311,312 It • 1J2
=~ [6. I(x)] = ~[f(x 112 lit '2 + 111) - I(x)] f(s). = f(x + 1/1 +y2)—f(x+y2)—f(x+yi)+f(s)= + 1/2) - f(x + 112) - I(m + 111) + f(x) = 6. I(x). =f(x+yi 112,111 312
311
312
312,311
f(s) be Let lex) beaapolynomial polynomialof ofdegree degree nn
~ 2:
f(s) ==a0 I(x) au ++ a1x alx + ... + Qnx fl • We shall show that We that for for its itsfinite finitedifference difference of of the theorder ordernn— - 11 the equality A
,1,···.11'1-1
f(s) f(x) ==n!n!anYi anYl '" 1In-1 X + fi, (j, .
(144)
where P fi depends the polynomial polynomialI(x) f(s) and and on quantities where depends only only on coefficients coefficients ofofthe quantities Yl, · · · ,!/n-l, is valid. 2 +alx for polynomials polynomials of ofthe the second seconddegree degree/2(X) f2(x)==a2x a2x2 + aix +ao + ao this equality Indeed, for follows immediately immediately from the follows the definition definition of of aa finite finite difference: difference:
a2(x+yi)2 6/2(x) = a2(x + 111)2 ++ai(x+yi)+ao alex + 111) + ao -—(a2x2 (a2 x2 ++ais+ao) alx + ao) Af2(s) = 111
= 2a2YIX 2a2y1s + + a211~ + alYi ==2cx2yjx + 0'1111 = 2a2Ylx ++/32. P2' induction. Let under a certain certain kIe Apply induction. 6.
1I1,.·•• 1J1c-1
~
2 the equality
fk(x)=k!akyl...yk_ls+flk /k(X) = k! O'kYl ••• Yk-IX + Pk
(145)
Then for forIk+1 fk+i(s) valid for for every everypolynomial polynomial/k(X) fk(s) = = akxk akxk+. . .+ao. be valid +... +0'0' Then (3:) = (tk+l Xk+1+ a0 we get ... ++ au t.1
111,...".
fk+i(S) Ik+l(x)
= 1Il.···,111c-l A [fk+1(x+yk)—fk+1(x)] [/1:+1 (x + 11k) - 11:+1 (x)] [(k+1)ak+lykxk+...] = = 6. [(k + 1)ak+1Yk xk + ...] Y1,...,Yk—1 ,1.···.11.-1 = (k + + l)!ak+lyl = I)! ak+1Yl ... Yk X + (3k+l) + /3k+1, .
by that the = n we by theequality equality (145) (145) isis proved proved for any k ~ 2. 2. In particular, under kk = we obtain the obt,ain the equality equality (144). (144). The Thefollowing following lemma is central in Weyl's Weyl's method. LEMMA 12. Under Under any Iek LEMMA 12.
~
1 we have
22k_i p2k_(k+i)
>
>
x=i where PI P1 = PP and and under under P, -— y,. equality PII+1 = P" Y".
P,—1
yj=0
Pk—i
>
31k0
vlJ == 1,2,. .. ,kk quantities 1, 2, ... ,
2,ri
"
"
e
x=i P,,+l are det,ermine,d by the
71
WeyI's method method Wey#'s
Ch. 1/, §§ 11] 11] ch. II,
show that that the assertion of the lemma holds holds under under kk Proof. first we shall show assertion of proof. At first Indeed, P1 Pt
L e 11'; >e2lrif(x) 2
22
I(z)
x=1 ,;=1
= = 1.1.
P1 Pt
L >
= =
e21ri [/(,)-/(x)]
x,y=1
= = PI P1 + +L
e21ri [/(1I)-/(x)] + +
Le
21ri [/(,)-/(x)]
x>, x>y
x
Pj—1 Pi—z Pl-l PI-X
++22 >L
L e >
~P P1 t
21ril /(z+II)-/(:C)] •
y=I 11=1
x=1 z=1
Hence, after after interchanging interchanging the the order of summation, summation, it follows that Hence, follows that 2
i'1—i
x
1
z
"2
2>
e
Ui
1
P11
P1—UI
Pi +2 > I
x
0
Ui
I
Raise ine-quality to to the thepower power2k—1• 2"-1. Then Raise this this inequality Thenaccording accordingto to (142) (142) we we obtain obtain
L
2 k—i
22"
PI P1
e21ri /(x)
Ee2T;f(x)
>2 >2e
(146)
.
yi=0 x=1
:1:=1
Applying the the inequality (146) to its right-hand that right-hand side side in in succession succession and observing that Applying Pi = = P and P" ~ P, we PI we arrive at the the assertion assertion of of the the lemma: lemma: 2
p1
Z
1
k
P1—i
k
(
Pk+1
>2 >2 e
>2 P
1
51
P1—I
0
Uk
0
Pk—l
> •••
si=0
f(z)
>2 >2 e
Yk=°
x
1
vi
1(z)
z=1
, x,,, . LEMMA 13. Let Let A A and x1,. Xl, ••• X n be b,e positive int,egers. by Tn(A) the number integers. Denote by of solutions of the equation equa,tion Xl .••• X n = A. A. Then Then under any we have any c6 (0 (0 <<ee :s;; 1) we .
.
.
T,IVI)
where the tbe constant const,ant
fl f
Cn(e) depends on n and and ee only. only.
Proof. Let a ~ 1, p ~ 2, and 0 Proof. 1
< e ~ 1. Since p<
log p
= pOt,
Weyl's s,ums WeyI's sums
72 72
then for any p
[Ch. [ChI II, §§ 11
~ 2 2
1-2 (1 + 1 ) 1-2 Pa~ · 2(1 11 + aa < +ae Qe log og p) P < < -1 < -1 e log og e og 1
then the thecoefficient coefficient If pP ~ e~, then
e£
l~g
2
2
(147)
in this estimate estimate may may be be omitted: omitted: 1
(148)
by it,s its prime Under A A= assertion of of the the lemma lemma is is obvious. obvious. Let Let AA ~ 2 be given given by = 11 the assertion factorization: A=
(PI
.. .
<... <Pa). < ... < Pal· 1
Then, applying Estimate the number number of of divisors divisors of of A. A. Let Pr Pr < < ee ~ Pr+1. Pr+ll Then, applying the we obt.ain obtain estimate (147) (147) for ... ,p,. ,Pr and and using the estimate estimate (148) (148) for Pr+l, . ... ,Ps, we for PI, Pi,.• .
.
I1
I1
Hence, less than eei', does not exceed eei', it Hence, because the number of of primes, which which are less follows follows that that
r(A)
c:
1
~ (e log l~g 2) e£ .\£ = C(e).\£.
in this estimate. that rnCX) Replace e by ;- in estima.te. Then, Then, observing observing that assertion of the lemma: lemma:
[c LEMMA
14. 14. Let Let PP
~
~
get the [r(A)]n, we get
=
22 and a
(J
a=-+q q2'
(a,q)=1, (a, q) = 1,
)81 ~ 1.
Then under any positive integer Q and an arbitraiy arbitrmy real real fi P we have 1°. 1°.
2°. 2°.
4(1+ ~)(p+qlogP), &,min(p, nax~pl.l) ~4(1+ 4P(1+ ~)(p+q). &,min(p2, lIax~PIl2) ~4P(1+ lax log
WeyI's m'ethod method Weyl's
Ch. Cu. 1/, II, § 11]
73
proof. Let us represent represent /3 {J in the form form bb q
81 q
(3=-+-, /3= - + —,
to the sign of 0. is an integer, IOu where b is 181 1 < 1 and the the sign sign of 81 is opposite opposite to 8. Then we obt,ain obtain under 11 ~ x ~ q we Ox ax+b ax + b 8x 8. ax+/3= ax+f3 = - - + - +-, q q2 q
"ax:
b 1/
= I/ax +P=
+ (~ +~ ) 1/ ~ lIax +PII +; .
(149) (149)
show that At first we shall show 4q log lIax ~ PII) ~ 3P 3P ++4q log P. P.
i;min (P, lax
:c--l
(150)
/311)
Indeed, if qq or or P isis less Indeed, if less than than four, four, then then this this estimate estimate is is trivial. trivial. Let qq ;:: 4 and p P
~
4. Then, according according to to (149) (149) for for those those values values x, under which which
II ax+b axqq+ bI ~ ~,2q we have ~have
1 ax+b ax+b lI ax +PII ~ IIaxq+bll._; ~ ~llax:bll· 1
q
2
q
q
1 This estimate may be used used for for all all xx within within the the interval interval! of those, for which ax + b == 0, ±1 (modq).
q with ~ x ~ q
the exception
system inodulo Since (a, q) q) = = 1, then ax Since (a, ax + +6b runs through a complete residue syst,em modulo q, when x runs through aa complete residue system modulo p. Therefore complete residue system
tmin(PI :c=1
lIax~PII) ~3P+ 0:r:+'_0. L ±1 min (PI I! ~ ) b11) q I mm
=3P+ = 3P+
L
min
2~X<9
(p, I-I;!'!) q q
~ 3P+2 L t min (P, ;). 2~:r:~2
(151) (151)
[Ch. II, [Chi II, §I J1
WeyI's sums sums We)4's
14
Hence, observing observing that Hence"
~
min(p, ; )
2~.~!2-'
~
~
P+2q P+2q 2
2~.<2f+l ~ p
~
1+2f~.~! p~ ~2
2
~
1 2
2q log p, 2q + J~ ~2qlogP, ~2q+2q
2, p
we eB,tlmate (150). (150). we get get the estimate Now chooseQI 9' = Now choose 1+ Q] 2: by 9%1 +x2 +3:2 in the t,he estimate estimate 1°. 10 • = 1+ QJ ~d and replace the quantity x Then, using the obtain Then. t,he inequality i.nequality (1:50), (150), we we obt,ain
[i
(I
min fmm
?;
(....
P,
1
'.
).. .
Ila:a: + PII .
~
~
.~o .~l
Qt -I
...••....
. '.
1
(...
. .•,..... min P,
)
+ a'Sl + PII tiaxz + fill)• Ilasz
+ 4q log log Pl. F). Ql(3P 9, (3P +
Hence, since Ql Q, <1+ Hence. < 1 + ~, the first assertion assertion of of the thelemma lemmafollows. follows. assertion 2°, 2,0) at at first first we we will will show show that To prove the assertion
(P2, 3P2 + + 4Pq. ~ min (p2, lias ~ PI12 ) ~ 3p2 4Pq. P112) lax +
(152)
1
In fact, as in i.n the the proof proofof of the the estimate estimate (151), (151), we VIe get
4q2)
Hence,
beCILUBe
of p2
4q2
2
00
2Jds =4Pq, = 4Pq,
2Pq + (2Pq+4q" .
29
p
:1;2
75 75
me,thod Wey!', method Weyls
Chi II. II, §I 111 11] CI'.
we obtain the t,he estimate estimate (152). (162). Therefore, Therefore, we Q ('" finin(P2, min p2,
1 )'" ,,', , IIax+PH2) lIa: + I1H2
];
~
J;1 .~l min .p2 , Ql' ,
",','.,
1
(""'"
'.'.'.','.
lIa:2
)
+ aq:. + 11112• •
+ 4Pq) ~ Q1(3P2 Q.(3p 2 + 4Pq) ~ 4P(l 4P( 1 + + ~)(P ++ q), q), proof of of the the lemma. lemma. thus completing the proof
Not,e. Let m be be an an arbitrary arbitrarypositive positiveinteger i.nteger and and Note. a
(J
q
9
(a,q)=1, (a, q) = 1, 181 ~ 1.
a=-+-, 2
Then undel' under any any fJ/3and and anye any e (0 (0 <<ee ~ 1) we have Then (153)
Ilamx'+uiII) Really, under thi.s estimation estimat.ion is Really, underPP <<33 this is trivial. trivial. Let Let P and
L
\, I a: 1
min
(p, Ilam: +1111) ~ Ilamx+flhI)
I I:
IE min (p,
2mQ—1
2mQ-l
= ".', • ',','. = ~ ,
• ("p.'
mm miD
~ 4 (1 +
Then 11 <
Ila: ~ 1111 ) ) 1 amQif)• lJa:c - amQI' liar + 11/3-
. ", 2mQ_1)(p +q log P). 2mQ-l) q(P+q log Pl.
Hence es&imate(153) (15,3)follows follows obviously. obviously. Hence the estimate
THEOB.EM14. 14.Let Let n ~ 2, 1(,;) = THEOllElef Ott
a = -
q
01$
(J
+ --Z, q
+ ... + a,,:r: and ft
(a,q)=1, (a, q) = 1,
•
)91
~
If P ~ f ~ pn-l J tnen under any positive e < 1 we have wehave 1—e
31;-1,
Where where
the canst,ant C(n, e;) does not not depend depend on on P. P. constant C(n,
1.
<<
:p,e
WeyPs sum,s sums Wey!'s
76
[Ch. [Ch. II, II, §§ 11
from Lemma Lemma 12 12 under under L!k = = n -— 11 that Proof. It follows follows from p Pfln PI -1 P,. -1 -1 P 2' j( . ) f( n-l ~ ~ 11'1 ~ X) e27ri j(z) ~22 p2 n-l -n ~ L.J '" L.J L..Je '1 ....",.-1
L
A
z=1 x==1
lit =0
(154)
,
x=1 x::: 1
lIn-l=O
wherePi=PandPp+i=Pv—yv(z'=1,2,...,n—1).Sinceby(144) where PI = P and P.,+1 = PI' - YII (v = 1,2, ... ,n -1). Since by (144) ti. I(x) = ann! YI · · · Yn-I X + {3, Yl,o,.",.-1 then using using the the estimate estimate (11), (11), we we obtain obt,ain f(x)
2iri
P,.
L
=
e 21ri ann! 1I1 ... y.. -l%
x=1
. (p
1 ) • 2l1a n n. Yl · ·. · Yn-lll Substituting this Substituting this estimate estimate into into(154) (154) and and singling singling out the summands, sunlmands, in which which quanquan~ tities YII being equal to zero occur, we get hieing to zero occur, we get ~ mIn
n"
.
\
pp
Le
2 11'i I(x)
:1:=1
+ 22
"-1
p,,-1_ 2
p
L
n
,(p
-1=1 mm
111,....... Vn—i--
I
11
)
IIn!vi .Yn-1D: nll · Iln!Yl" . .
Collect summands summands with the same Since by by Lemma Collect same values values of the product yi Yt ..•• Yn-l. Since . . Yn—1. 13 for for the number of 13 of solutions solutions of the equation equation yI YI .... Yn-l = AA we have have the the estimate 1, then Tn-t(A) ~ Cn _ 1(e)Af: under any any positive positive ee ~ 1, .
1
(P,
min(p, 1I1,.. ,E1=1 min \ IIn!Yl"•. .1Yn _1D:nll) IIn!Yi
~
pn -1 p"-l
t; rn_i(A)min(P, -l(A) (P, IIn!~D:nll) ~ Cn_l(e)p(n-l)~ t; (P, lin! ~D:nll). Tn
min
pn.-I pn-l
mm min
condition PP ~ q ~ p"' and thethenote Now, using the condition pn-l and not,eofofLemma Lemma 14, 14, we we obtain obtain
'l,...
E
1
(P, _ D: II ) \ lin! Yl .. ,1Ynyn_ianll
min(p, 1 =1 min _,
In! 111
1
.
n
(1 P:- )(P ++ q)p~n
~ 8n! CJl~l(e) (i + +
1
~ 32n! 32n! Cn-l(e) pn-Hen , e
)(P
(155)
77
Weyi's method Weyl's method
Ch. 1/, §§ 11) 11] ch. I!,
and, and, therefore, n—I 2,,-1
p
Ee
2fri I(~)
~ n 22,.-1 p2,.-I_ I + 32n! p2,.-I_ I +€R. 22"' Gn-l(t:) p2"1—1+en + 32 n! 22,.-1
e
z=:1
we get get the theorem Hence c by by -; we theorem assertion: assertion: Hence after replacing e P
1
I-e
~e2rif(Z) ~ (64n!~"-1 nGn~I(;)) 2,,-1 / - 2,,-1 1- 1-£
= C(n, e)P 2"' 2,,-1 =C(n,c)P Note. Note. A nontrivial nontrivial (with (with respect respect to tothe theorder) order)estimate estimateof ofWeyl's Weyl '8 sum sum of of degree n ~ 2 int,erval P ~ qq ~ pn-l indicated in Theorem Theorem 14, 14, can be can be obtained obtained not not only only on on the interval also on the interval but also
<1) e1 < (0< (0 < el 1)
q
(156)
containing the the former within it. cont,ainmg Indeed, in in this case by (155) have the the estimat,e estimate Indeed, (15,5) we we have p
Le
l_€t-€
21ri
/(Z)
C(n,e,ei)P2"', ~ C(n,e,el)P 2"-1,
x=l
having nontrivialorder orderunder underany any positive positiveee << ej. having nontrivial ct. The The further further extension extension of of the the interval (156) interval (15 6) to qq ~ P" pn isis impossible, impossible, because because under pn there thereexist existWeyl's Weyl's under qq = P" 1
sums degree n, for which sums of degree which >
In order to convince ourselvesinin it, it, let let us us choose, choose,for forexample, example,nri~? 12, 12, q = pn, and convince ourselves In
f(x)
—
=
(x
(n +
—
l)fl+l
1
=
+... + a0.
X+
Then, since ,e2 71'1. I(~), — - I) 2) sin 1I"f(x)1 iJ = = 2jsin 2ir irf(x)l ~ 2?1" ~
i)fl+1 (x -— 1)n+l " (n ' (rt + + l)pn
:1;"+1 -—
[ch. II, II, §§11jj [Ch.
Weyl's sums Wey#'s
78
so, obviously,
ii
—
=
—
—
(n
n2+Wi
and, therefore, therefore, p
Le
p
= P + L: (e 21ri 1(2:) -1) =
2 11'i/(:c)
,;=1
z=l
p
~p- ~le21ri/(S)_11 ~ (1- n~l)P> ~P.
equations § 12. Systems Systems of e~quations for the estimation of complete rational rational sums consists A method proposed proposed by by Mordell for sum to to the estimation of the mean in the reduction reduction of of the estimation of an individual sum value p
p
2k
p
s=1
a1=1
under kIc == nn or, in other other words, words, to to the the estimation estimation of of the the number nmnber of of solutions solutions of of the the system of of congruences congruences
~l.~:::.~.~~.~~.:.:::~~k. }
(modp).
xi +··· + xk == yf +···+ Yk
Similarly, in Vinogradov~s Vinogradov's method method the the estimation estimation of of Weyt's Weyl's sum sum is is reduced reduced to the Similarly, in the estimation, under aa certain cert,ain Ic, Ie, the mean value of the quantity 2k
P
L:P e
+
27ri (al x + ... a ,.zR)
s=1
being equal equal to being 1
1
J. .J f···J o
.
0
P
'L.i " e21ri (O'lZ+",+ct"x") Ee2w1 x=1
2k
dal·. .. dan .
Systems Systems of of equations
Ch. II, 1/, § 12] 12]
79
coinciding with with the numb'er number of solutions of the system and, as it will will be shown below, coinciding system
of equations equations
XI+...+XkY1+...+yk)
~l.~:::.~.~~.~.~~.:.:::~.~k.}, xf + ···+ xi:
=
1
xj,yj
(157)
P.
yf + ·· · + Yk
flenote by by S( S(ai,. . ,, a,,) Denot,e at, ... an) the Weyl Weyl sum .
p 21fi X a,n ) = -- "" .,a,,) S( "" ~l,oo 0' L.J e (Ol:.r:+..• +an ") ·
2:=1
fixed integers, integers, and N~~)(Al'.'" , k,,) Let n ~ 2, '\1,. . . , An be fixed An) be be the number number of Let integral solutions of the system of integral of equations equations ' 0
•
,
X1+...+Xk—(Th+...+Yk)A1
) .~l.~:::.~.~~.~.~Y,'~'~"""'~~,~~.~.~.l,' },
(158)
xf + ... + xi: - (uf + 0" + Yk) = An which the the quantities quantities Xj x3 and and 1Ij y, vary within the limits in which 1 ~ Xj ~ P,
1 ~ Yj
~
(j=1,2,...,k). (j = 1,2, ... ,k).
P
with the under A1 Obviously, under Al = ... . o. == A,, An = 0 this this system system of of equations equations coincides coincides with system (157). Let us consider consider the simplest properties of such 5yst,ems. systems. First of Let of all all we we shall shall show show that under under any any positive positive integer integer kk we we have have ru ru )1 2k -= ,a,,)12k 18( 15(ai,.. ~1 ~n ,.
0
.
•
""
L...J
,
... "/P,>(\ 1V k,n AI,·
. 0
•
,
\,
An
)e2ri(01~1+... +an~n) ,
(159)
~II."I~"
where the the range of summation is where lAvl < kP" I~"I
(ii (v
1,2,... = 1,2, ... ,n).
Indeed, since Indeed, p
Sk(ai,. ,a,,) = . .
L X1,...,Skl
e21ri (al (XI +... +%.)+... +a,,(x~+ ..• +z;»
,
then, obviously, obviously, 2k = IS( at, ••• ,(tn)1 ,an)12k = S(ai,. . .
P
L Zt.···,lIk=!
e21ri (01(2:1 +'.. -'k)+... +OR(X~+ •••
-,:».
(160)
[Ch. /1, §§ J2 (Ch.
Weyl's Weyl's s,ums sums
80
Here we unite addends with fixed values of the sums xi
1,2,. .. ,n)· +... + ... —- Yk (v (II = = 1,2, I
••
51+...—yk=A1
~~.
x~
:. : : :
~ .~k. ~.~~
}.
+ ... -Yk = An
P (j = Since 11 ~ Xj ~ P and and 11 ~ Yj ~ P = 1,2,.. 1,2, "".,k), k), then by (158) the the number number of ofsuch such .. ,, >.,,) and besides addends equals N~~(>'lt •••
1,2,...,n). (II = 1,2,. ,n). (z,=
IA" I = Ixr +···+ xi - yf —...—yfl< - ··· - Yk I
I
•
Therefore,
L > P
= -
e2 11'i (at (Zl + ... -,.)+... +Q,,(z~+ ... -,;» '""
. )(\ L..J N(P. k,n 1\1,· -"1,...•-""
\
. I
•
,
I'\n
)e2 11'i(Ot-"t+...+ a n-"n)
I
The equality (159) (159) follows follows by (160). , 2k in the multiple The relation (159) is is the expansion expansion of ofthe thefunction functionIS( IS(ai,. at, ... ,(tn)1 multiple . Fourier series. series. The quantities N~~(>'l" .•. ,, >'R) are its Fourier coefficients. coefficients. Therefore, .
~~(>'h •· •, >'R) .
-f f IS(~ 1
-
1
=o
~
)12ke-211'i(al-"1+ ... .. '-Al"."u",
.,.
+Qn'\")d~'-Ao!"''-An .. d~
(161)
0
and, in particular, 1
1
f . ·f
,o) = ~~(O, ... ,0) J.. .
=o
.. , a R )I 2kda t .. .. • daR' IS( £lh' ..
0
Hereafter we we shall shall often often use use the the a.bbreviated abbreviated notation Nk.n(P) and Nk(P) instead of (P) ( ) .
( •instead . • of N Ie(P) the modulus Nk,n 0, ... ,0 , and N k AI, ... , An} Instead ,,.. (At, ... , An)' Since SInce of the the modulus of the the integrand, integrand, then itit of an integral does not exceed exceed the integral integral of modulus of follows from from (161) (161) that that under follows under any any A1,. At, ..... ,, An ,An) ~ N~P)(>'t, Nr(A1,..... '>'R) .
1
1
f ... f IS(at, ... ,a,,)1 2kdat .. . daR == Nk(P). Nk(P). .
o
0
. .
(162)
ell. II,1/, § 12] ch.
Syste,ms of of equations equations Systems
81 81
Let us show the the validity validity of ofthe thefollowing following equalities: equalities: Let . LN~P)(Al'" "An) = N~P)(All",IAn-t}, >
(163)
.
~n
L
~P)(At, .. " A.) = p2k ,
(164)
~l'''''~R
A)] = N2k(P).
(165)
In fact, according to the introduced introduced notation not,ation the thenumber numberof ofsolutions solutions of of the the system system of equations
X1+...—yk=A1
••••• n-l
xl
~~
.-:.......
+• • • -
~ ~~.~ .~1
1
(166)
••• }
n-I
Yk
=
\
I\n-l J
is Complete this system by the equation An_i). Complete equal to N~P)(Al"'". , An-I). is equal .
The number of solutions solutions of of the the completed completed system system equals equals N~P)(Al"'" , An). Every solution solution of the system (166) (166) satisfies satisfies one and only one of of completed complet,ed systems syst,ems arising arising values An, and every every solution solution of the completed completed system satisfies satisfies the under distinct values system (16 (166). . ,, An) extended to all system 6). Therefore the sum sum of of the quantities quantities N~ P) (A 1, ••• is equal equal to the number of the the system system (166), (166), Le.) i.e., the possible values An is number of solutions solutions of .
.
1
1
.
equality equality (163) is valid. The equality (164) (164) follows follows immediately from from (l'6,3):
L
L
. A.)= = Nt)(At"",
~l, ••• ,~n
. ,A,,_1) = ... N~P)(All,,,,AII-d= .
~l .... ,~n-l
= p2k = = L~P)('\d = p2k. A, ~t
prove the equality (165), To prove (165), we we consider the system system of equations
Xi+...+X2ky1...y2kO)
~~.:.:::~~~~~~1.~:::.~.~~.~.~}.
xf +··· + x~k - yf - ··· •
y~k = 0
(167)
J.
The number of solutions of this system is N2k(P). The N 2k (P). Collect Collect those those solutions, solutions, for for which which , under fixed A1,. At, ... the equations . . ,An
Xi+...ykAi
~~ .~ : : : ~ .y..~ ~.~~. },
xf + ... -Yk = An
Weyl's sums Weyl', "urns
82
[Ch. II, 11, §§ 12 12 [Ch.
~~~,1, ~ ,~,~~ ,~ ,~~~~,~, ~ ~,2,k, ~ ,~~ } :::
n
" ""
.fl
n
-r Y2k —An n Y:+l -r + ...···+ Y2k— - X:+ 1 - · · .· — - X;k = i
i
(P)
2 fulfilled. Obviously the (A1,. . , An)] are fulfilled. the number number of of such solutions is equal to [Nk [Nt>(..\l"'" ..\n)t To each n-tuple . . ,,An there corresponds To n-tuple of ofvalues values A1,. At, ... corresponds one one definite definite aggregate aggregateof ofsosolutions of the system system (167) (167) and and each each solution solution of the system syst,em enters into into one one and and only only A,, we get nfl Thus,considering considering all all possible possible n-tuples n-tuples A1,.. At, .... ,, A,u all one of these aggregates. Thus, (167) and, and, therefore, therefore, solutions of the system (167) .
.
= N2k(P).
In investigating properties of of the the system system of of equations equations
~~,:,:::~ ~k ~,~~
)
.•
x~
+ ... -
y~
(168)
} ,
= An
and in deducing estimates of of Weyl's Weyl's sums, the relationship rela,tionship between between the the exponential exponential sums p
a ) - " e 2ri (OI:1:+ ••• +O'n:l:") 5(""t"",n-LJ ' ;'\1
2:=1
considered as as functions functions of nn variables a1,.... . . ,, an and the number of solutions of the considered variables at, equation system essentially. This relationship is seen from from the expansion equation system (168) (168) is used essentially. 2k , a multiple Fourier series: of the function IS(ai,.. of the function IS(al," ., a n )1 in Fourier series: .
2k = IS( ,lt n )1 IS(ai,... = lt ll ...,an)12k
00
L
. Nt>(..\1,"',..\n)~2 ... i(Q'1~1+ ... +OIn~n>,
(169)
'\1 •...• '\n=-OO
Actually the the series (169), as as it was in the equality Actually series (169), was shown shown in equality (159), (159), is aa finite finite sum, sum, because ifif at at least one of quantities A,, in absolute absolute value valueisisgreat,er greater than than or equal to because All in kP", then kpll, thenthe thesystem system(168) (168)has hasno nosolutions solutions and andthe thecorresponding correspondingFourier Fouriercoefficient coefficient vanishes: =0 N~P)(Al, ... ,An)=O .
.
(IA"I~kP"). (IA,,I
We We shall show show that that the theabove aboveestablished est,ablishedproperties properties(163)—(165) (16,3)-(16,5) of of quantities quantities (P) . . . are evident corollaries of this expansion. N~P)(Al" corollaries of . . ,, An) are Nk (A1,. .. In fact, fact, setting settingQla1==... In ... = an = 0 in (169), (169), we obtain the equality equality (164): (164):
p2k p2k
=
L ~1'.",'\n
N~P>(..\ .. ,. · , ..\n)'
equations Systems of of equations
Ch. II, §§ 12]
83
equality (16,5) (165) follows follows atat once identity for for the The once from from Parseval's Parseval's identity the function function The equality IS(al"" ,an )1
'E >2
2k
:
[Np(A1,.. A)]2 = [N~P)(>\}, .. ·,.x,,)f =
~1'···'~"
1
1
j...
j[IS(al, [isai,.... ,an)12kfdal ... dan J. J 0 0 .
o
.
o
1
= =
.
. .
1
j ... j
o ....
, IS(al," ...,an)14kdal" IS(ai,.
.dan == N 2 k(P).
. . .
0
Finally, (169), we we get p'inaily, setting an = 0 in (169),
S( ~ IIS(ai,.
~
""'1 , • •. .• ,, "",,.-1
)1 2k =--
"" L-J >2
Ai,...,A,—t ~".",~n-l
[""N(P)(\ \ )]e2""i(Ql~1+ ... +a"_1~n_l) • L-J k AI, • • •. , AR ~"
)1
2k uniqueness of ofthe theexpansion expansionofofthe thefunction functionIS( IS(ai,. at, ... , Hence by virtue of the uniqueness . . ,(tn-l
in the Fourier series series
IS(ai,. .. ,an_i)12k =
..
>
(163) the equality (163)
> follows.
important question question in in the thetheory theoryof ofthe thesystems systemsof ofequations equations T'he most important The
+ -!lk = 0 } .... , xf + - y: = 0 Xl
charact,er of of the the growth growth of of the the number nwnber of of system system solutions solutions is aa question concerning the character in dependence dependence on int,erval of the variation variation of of variables, variables, i.e., aa on the magnitude of an interval question concerning concerningthe thecharacter characterofofthe the growth growthofofthe the quantity quantity Nk(P) Nk(P) while while P question increases infinitely. It is x, ~ P (j = is easy easy to to establish est,ablish aalower lower bound bound for for Nk(P). Nk(P). Indeed, Indeed, since since 11 ~ Xj = 1,2,.. . ,Xk 1,2, .... ,, k), the quantities x1,.. Xl, ••• can be chosen in pk p k ways. Choosing Choosing then then !II yj = , obtain pk Therefore we we have have the the estimate Zl, ••• = Zit Xk we obt,ain pic solutions. Therefore •..,, Yk =
Nk(P)
(170)
[ch. [Ch. I!, 11, § 12 12
Weyl's sums
84
Next, by (162) (162) and (164)
p2k = p 2k =
L
.
.
~t ""'~Q
n(n+l) n(n+1) 2 -Nk(P), 1 1 ~ (2k)n p-2 Nk(P),
L
N~P)(Al, ... ,An)~N,,(P) ( Nk(P)
~l.···t~n lAp l
and, therefore,
11 2k- n(n+l) 2k Nk(P) ~ (2k)R P — 22 N,,(P) (2k)" Taking into account this result and and the the estimate estimate (170), (170), we we get the lower lower estimate for for
N/t(P) Nk(P) It
n(n+1)
1
Nk(P) ~ max max ( P, (2k)R P (2k)"
2k- n(n+l»)
2 2 .
)•
(171) (171)
We shall show show that that under kIe ~ n this We shall this estimate estimate indicates indicates the precise preci.se order of the the growth of the quantity Nk(P). growth Nk(P). Indeed, Indeed, consider consider the system system of equations
}, = yf +···+ y:
~~.~.'.'.'.~~'.~.~~~:::.~.~~
x~
+... + z~
(172)
that the In the same s,ame way way as in in the the proof proof of of Mordell's lemma (§ 5), it is easy to verify verify that satisfying system coincide with permutations of quantities Xl, ••• ,Xk satisfying this coincide with permutations quantities Xl,. , . pk Since the system 111, k! pk. Ui,..• •.•,, 1/k' Hence the number of its solutions does not exceed k! (172) is is obt,ained obtained from the system (172) .
Xl+...+Xk=yl+...+yk
) ~l.~:::.:.~~.~.~~.:.:::~.~k.} ,
1 ~ Xj,!!j ~ P,
.. + = yf + ··· ... ++ 11k ) xf ++ .··· + xk =
by omitting the the last lastnn— - kk equations, equations, then then Nk(P) Nk(P) does does not exceed exceed the the number number of solutions of of the 8ystem (172) and, and, therefore, therefore, Nk(P) Nk(P) ~ k! k! pit. P'. Thus, solutions system (172) Thus, under under k ~ n the estimate (171) has the the precise precise order with respect to to P. P. Under Under IcIe ~ n it is is easy easy to show show that Nk(P) N k(P) ~ n! p2k-n. Indeed, Indeed, using using the the trivial estimationof ofthe thesum sumS(al"" S(ai,.. . ,a,,) estimation ,an) we get ~;et 1
1
f··· J
21r Nk(P)=J...JJS(al,...,afl)I2kdal...dafl N,(P) = IS(ah" .,aR)1 da 1 ••• daR
o
~p
0 1
1
lS(ai,.. f··· J al , · · · , J IS( .
.
o
,
anWn dal
· · · dan
. . .
.
0
= pzk_2nN = p2k- 2R Nn (P) ~ n!p 2k -".
(173)
8'5 85
Sys,tems Systems of of equations
12] Ch. II, §§ 12] ch. II,
question on on upper upper estimates estimates of ofNk(P), Nk(P), having having under under kk >> nn a precise order with A. A question respectto to P, F, is is much much more more difficult. difficult. This This question, question, which whichisisreferred referred to to as as the mean respect
valuetheorem, theorem,isis main main in in a method to estimate Weyl's value method suggested suggested by Vinogradov Vinogradov to Weyl's sUlIlS·
In proving the mean mean value value theorem theorem we we shall shall need need two two lemmas. lemmas.
LEMMA Underany anyfixed fixedint,eger integera,a,the thenumber numberof ofsolutions solutionsof ofthe the syst,em system of LEMMA 15.15.Under equations
:
(x1+a)+...—(yk+a)=0
},
.~~~ .:.~~ ~.~~~.:.~~ .~.~. }, (x' + +a)"+...—(yk+a)" =0) (Xl a)n + - (Yk + a)n = 0 )
(174)
does and is is equal equal to Nk(P). does not depend on a and
Proof. be an arbitrary Proof. Let x1,.. Xl, •••. ,,Yk arbitrary solution solution of the system system of equations Yk be
X1+...—VkO)
~~'~:::~'Y.'~'~'~} , xf + - 11k = 0
1
x3,y1
P.
(175) (175)
under any any ss = = 1,2, 1,2,... ,n Then under ,nwe we obtain obt,ain s
(x5 (Xj
8- II (xj - yj), C,va8_v(x7 a)' -— (y; + a)' = L C:a ++ a)8 + a)" —
= 11=0
k
..
k
+ a)8 a)' - (Yi + C'a'" L = 0, L [(x1 [(Xj + + a)'] alB] = L C: > (xj -— yJ) = —
(y1
as-II
= ,,=0
;=1
j=1
C:
where of ss objects objects vv at a time. where C' denotes dcnot,es the the number number of of combinations combinations of time. Therefore each each solution solution of of the the system system (175) (175) isis aa solution solution of of the the system system (174). (174). It isis is aa solution just as easy to verify verify that in in its its turn turneach each solution solution of the system (174) (174) is solution of the the system system (175). (175). But then then these these systems systems of of equations have the same same number nmnber of of solutions, and and this is what we solutions, we had had to to prove. prove. Note. No,t,e. According to Lemma Lemma 15 15 11
J 1 1
Nk(P) = f··· L Nk(P)=J...J o
0
2k
a+P n t?lI'i(a z+ ...+a n :t ) ,
dXl .. , dX n1
x=a-F1 %=4+1
and, therefore, under under any anyinteger integer aa the the equality equality
J J '" 1 1
1
• ••
o
L...,
0
=
2k 2k
4+P e21ri(OlZ+...+0"s")
d~wI
..J_
• • • UZn
2:=4+1
j... j t
o
0
$=1
e2 11'i (a,z+...+anz
n
) 2k dXl
••• dX d n
[Ch. [Ch. II. II, §§ 12 12
Weyl's sums sums
86
holds. 7), Tk(P) Tk(P) be the Let, Lemma 7), the number number of of solutions solutions of the Let, as in §§ 6 (the note of Lemma system of s'ystem of congruences congruences
.~~.: ~.~~.~~...~~:!. }, X1
z~
+ ...
+
— ilk
(modp)
0
(176) (176)
- 11: == 0 (modp")) (modpR)
solutions of of this this system can be expressed in We shall show that in" terms terms We shall that the thenumber number of solutions (P) of the quantity N~P) (AI, · · · , A.). LEMMA16. 16. We Wehave have the the equality LEMMA TI:(P)= Tk(P)=
2:
>
N1P>(Alp, ... ,A R p R ),
~l, ••• ,~n
where summa,tion is extended ext,ended over over the region where the summation Ad
...,
(177)
is equivalent equivalent to to the the tot,ality totality Proof. ItItisiseasily easilyseen seen that thatthe thecongruence congruence system system (176) (176) is of the systems of equations
Xi+...ykAjp
.~l.::::.~. ~~.~.~~~.
}, 'I
xf + ···- 11k = AraP" arising under all .. , A Since under fixed Ar,. arising all possible possible n-tuples n-tuples of of integers integers A1,. AI,"" fixed values values ra • Since the number of solutions of this system is equal to . A1,... AI, ... , An number solutions this system is equal N~P)(A1P,"". A"pA), . . , Anpn), A,,p"), ext-ended then the sum of the quantities N~P)(AIP,"" extended over all possible possible values values is equal to the A1,. . . ,,An is At, ... the number number of of solutions solutions of of the the system system of ofcongruences: congruences:
Tk(P) = TI:(P) =
2:
. Nt>(A1P"'" ARpR ). .
~l""f~R
to carry out the It is sufficient sufficient to the summation summation over over the the region region (177), (177), because because otherwise otherwise at least for for one one value value u11 (1 (1 ~ 11u ~ n) the the inequality inequality IA"P"1 ~ kP" would be fulfilled fulfilled and the corresponding corresponding summand N~P)(AIP,' ... ,, AnpR) would vanish. .
Vinogradov's mean Vinogrs.aov's m'ean value theorem th,eorem
13J Ch,. II, n, §§ 13]
87
mean value the~orem theorem § 13. 13. Vlnogradov's me,an As said in the the mean mean value value theorem theorem pursues pursues the the aim As it was was s,aid the preceding preceding section, section, the establish an upper estimate for the quantity Nk(P), where Nk(P) is the number to establish an upper estimate for the quantity Nk(P), where Nk(P) number to of system of of equations of integral solutions of the system
X1+...+Zk=y1+...+Vk)
~l. ~ :.~~ ~. ~~.:.:::~ ~ x~ +···+ x% = yr +···+ Yk .......
(178)
.•I:. } ,
.•
by I. M. Vinogradov, is based on The proof of the mean me'aIl value theorem, suggested by Vinogradov, is the estimation estimation of ofthe thequantity quantity Nk(P) Nk(P) to to the estimation a recwrent reducing the recurrent process reducing of Nk1 (P1),where wherek1k1<
11
2, rr = nn2,2 , PP >> n", p be LEMMA17. 17.Let Let n ~ 2, LEMMA be aa prime, prime, pfi ~ P p < 2Pn, and pfl_l. p1 = P1 p"-I. Then Then under k >>n2 n 2 for for the the number number of ofsolutions solutions of the system syst,em (178) (178) the
=
=
estima,t,e estimate
,,(n+1)
Nk(P)
2
h,olds. holds.
Proof. Let Let f(x) f(z) = QIX +... QnX"and andthe the sums sumsSS and and S(z) 5(z) be Proof. be determined determined with with + ... + + £tnx" the the help help of the equalities p+pPi p+p Pl
L
S(z) = = 5(z)
SS = = > e21ri /(Z), r=p+1 -==1'+1
P1 PI
Le
21ri /(Z+pi).
2:=1
Then, obviously, P p
s= L 5=
Pj Pt
Le
P P
21ri
/(.r+,,:i:)
z=1 &=1 *=1 z=1
= = LS(z), z=1 %=1
2k = 1512r1512k—2r 1 ISI 2r ISI2k p2k_2r_IJSf2r 181 = IS1 2 r1S12k-2r ~ p2k-2r-
P
L E IS(z )1
2 1:-2r.
*=1
Since the number of solutions of the s'ystem system (178) (178) grows growsas as PP grows, grows, then then using using the equality (161) (161) and and the note obtain equality note of of Lemma Lemma 15, we we obt,ain 1
NI:{P) :s;; NI:{pPtl
1
= f··· f 181 21: dOll • • • dan o
0
[ch. II, § 13 [Ch. 13
Weyl's sums sums Weyl's P
~ p21:-2r-l L
f··· JISI2rIS{z)121:-2rda 1
1
[• I
r=1 0
ISI2nIS(z)12k_2rdai1
'".
.
(179) (179)
dan. daR'
0
Let the maximal value of summands summandsininthe the sum sum (179) (179)be beatt,ained attained at at z = value of = zoo Then we obt,ain obtain we
Nk{P) Nk(P)
~ p2k-2r
f ...•JJ L 1
>
o
2r 2r
P+pPl p+pPi
1
chi f(z)
x=p+1 ~=,+l
0
2k—2r 2k-2r
p1 P1
?=
e hi f(%o+,:i:)
dal da1 ... , dan. .
.
z::::l
seen that that the It is easily seen the integral integral in in this this estimate estimate is is equal to the the number number of of solutions of the system of equations 1 .~,~.~:::~,.~r. ~ .(.z.o, ~ ~l.),. ~::: .~.~~. ~ ~lI,','~~:~', },
= (zo + p'Xl)R +,. -- (zo + PYk_r)n P < X j, Yj ~ P + PP1 , 1 ~ xj, iJj ~ PI,
xf +., --
y~
or, this is just just the the same, s.ame, to to the thenumber numberof ofsolutions solutions of the system
or,
+ x1) + ... .. ~~~ .~.~~ ~ ~ . . . . ~, ~~~ .~.~~~ ~,{.~. ~ :.~l.~.~::: .~.~~o. ~ ~~k,'~~ ~ (zo
= (zo
— (zO + yr)
(ZO
+ Xl)R +, .. -
+ pthj) +... — (ZO +
P?'k—r)
.. } ,
+ Yr)R = (zo + p Xl)R +... - (zo + PYk_r)R p—zo pZo <x,,y1 < Xj,Yj ~p- Zo + pP1 , 1 ~ Xj,Yj ~ PI, (zo
1
In its turn In turnthis thissystem systemisisequivalent equivalent (see (see Lemma Lemma 15) 15) to the the system system
.~~ ~"":.~.~,~.~.:.,~~~,~. ::.~.~~~,~!, }, R+ • • , - YrR= PR('n+ Xl ' •• -
3:1
p—zo P - %0 <x,,y1 < X j , Yj ~ p Let Let
Zo
+ pPl ,
'n) Yk-r
11 ~
xj , iJj
~ PI-
us replace the y, by a wider the interval interval of of variation of x1 Xj and 1/j wider one: (j=1,2,...,r). (j = 1, 2, ' . , , r ),
Then, collecting collecting solutions solutionswith withfixed fixed values values of of the the sums sums xi +, .'-Yk-r (ii (v = 1,2,... 1,2, ... ,,n) n) and using the estimate estimate (162), (162), we we get
Nk(P) Nk{P) ~p2k-2r
L
~:~{~"
... ,~n)N$2PP1){~lP""'~Rpn) .
.
.
.
~l,""~"
/' ~
2r '"'" p2k_2rNk_r(pl) P2k- N k-r (P) 1 L-, ~ll.",~n
N(2p P l) ( \ \ n) r AlP, • • • , AnP , .
Vinogradov's mean mean value value theorem theorem Vinogra,dov's
13] Ch. Cli. II, §§ 13]
8'9 89
r(2P1)" where the summation is extended extended over over the the region region 1'\,,1 < r(2P (II = 1,2, 1,2,... .. . ,n). 1)1I (ii Hence, since since PI P1 = = p"-l, using Lemma Lemma 16 16 and and the the note note (90), get the lemma Hence, (90), we we get lemma assertion: Nk(P)
Nk_r(Pl)
2
n(n+1)
Nk..r(Pl).
2
THEOREM10. 15. Let Let n ~ THEOREM
2, rr ~ 0,0, k > n2r, 2, n 2 r,
P> n
n
1) (1+-
r
n(n+ 1)
n-l,
1)T
(i
Then for for the number of (178) we we have have the the estima,t,e estimate Then of solutions of the system (178) k
Nk(P)
(180)
2
Proof. The The assertion assertion of of the the theorem theorem can can be be obtained obt,ained with with the the help help of of rather rathersimple simple induction. estimate (180) under aa induction. Indeed, Indeed, under underrr = 0 the estimate (180)isistrivial. trivial. Let Letitit be be true true under certain certain rr ~ 0. O. Choose k>n (r+l) k>n2(r+1) 2
/ 1) ( and and P>n P>n " n(1+1+—
r+l
n
n-I
•
Determine positive integers integers r, P1, Pt , and a prime prime p as in in Lemma Lemma 17:
r=n2,
11
11
n-l Pj=pIZ_l. P
Pi~p<2pn,
l=P
Then
k—r>n2r,
n-l
n PI > pr;-
>n
..
·
)r n1 n-l
1 (1+_
and by the induction induction hypothesis hypothesis 2k—2r—
Nk_r(Pl)
24n(k_r)Tp,
n(n+1) 2
Lemma 17 1T But according to Lemma
Nk(P)
k
2
Nk_r(PI)
(181) (181)
Weyl's sums Weyl's
90
[Ch. II, [Ch. II, § 13 13
and, therefore, by (181) (181) 24nkr+2nk(pp1)2k_
Nk(P)
n(n+1) 2
pP11 = = pH <2"P, Hence, since PP 2n p, (n(n— -1)e l)€,.r = ner+l, and p" < Fri. = p(fl')Si.
we get we n(n-I-1)
Nk(P)
2
n(n+1)
+er+i
<
2
The theorem is is proved. proved. Now we shall shall consider question about a.bout the the precision precision of of the the obtained obt,ainedresults. results. Now we consider the question Since / (1-__) 1-;;n ~ e- R ,
( l)r
r
of k, k, the the quantity e,. tends then under the the growth growth of rT and and the thecorresponding corres'ponding growth growth of er tends under Tr >>2nlog(n to zero. zero. So under 2n log (n++1) 1)we we get get
_n(n+1)(1
1\T
1
nI <2
2
1+1). Hence Respectively, under under TT > 3n log log (n (n + +1) Hence itit follows follows that that for Respectively, 1) we we have ee,. r < 2(n 2(n+1) 3 log(n have the the estimate any e6 > 0 under kIe >>3n3 3n log (n + +1) and n ~ we we have
le
Nk(P)
~
2 kk22
2ft ' p P
n(n-4-1) L 2k— 2 " ,n(n+l) ---+£ 22
=0
(
P
n(n+1) n(n+l»)
2k— 2k---+e 4-s
22
•
(182)
On the other hand, On hand, by by (171) (171) 1
n(n+1)
2k —
2
from comparison comparisonof ofthis thisestimate estimateand andthe theestimate estimate (182), (182),that that the order of It is seen from the estimate estimate (180) (180) is is almost almost best best possible. possible. A question about the the least least value value of of k, k, under under which which the the estimate estimate (180) (180) isis fulfilled, fulfilled, A difficult. This question question is important i,mportant in in connection connection with with the thefollowing following is much more difficult. circumstance: estimates estimates of of Weyl's Weyl's sums sumsobt,ained obtainedby by the the help help of of the mean mean value value circumst,ance: to est,ablish establish an an estimate of the theorem are, as as aa rule, rule, more more precise, precise, if one succeeds succeeds to form (180) (180) under lesser values values of of Ie, k, i.e., i.e., the the lesser lesser the the b,etter. better. form
Vino,rado,v's m,ean value theorem Vinogradov's mean
Ch, 11, §§ 13] 13] ch. II,
91 91
Let us show show that that the estimate Let us estimate n(n+1) Nk(P) = o(P2k_ 2 +e)
(183)
cannot fulfilled under < n(;+1). n(R2+1). Indeed, under k < Indeed, according according to to (171) (171) N/t(P) Nk(P) ~ pk and, cannot be fulfilled therefore,ininorder order to to satisfy satisfy the the estimate estimate (183), (183), the the estimate therefore, n(n+l») e ph pit = 0 p2k- -2-+ (
should be fulfilled, fulfilled, but that isis possible possible only only under kIe ~ n(n2+1). Thus the best result but that which might be be expected expected to to obtain obtain is is getting estimate (with respect which might getting a precise precise estimat,e respect to to n(n+1) the order) = n(fl2+1). The estimate estimate (183) (183) following following from 15 was was from Theorem 15 the order) under under Iek = 3 log (n + 1). Using the Linnik lemma (Lemma 9) instead of obtained under kIe ~ 3n 3n3 1og(n + 1). Usi,ng the Linnik lemma (Lemma 9) instead of obt,ained
Lemma 7, we we get get now now this this estimate under kIe Lemma 7, LEMMA18. 18.Let Let n ~ 2, LEMMA 2,
pP
p ~ (2n)2n, p
[pp-l] + under kIe ~ + 1. Then under
R("2+!)
~
3n 1). 3n22 log log (n (n + + 1). 1 1
be aa prime, prime, !Pi
~ p
11
and PI P1 = = < pn, and
we have we have the estimate n(n+1)
Nk(P)
Proof. As we introduce introduce the the not,ation notation f(x) 1(x) = = alX Proof. As in in Lemma Lemma 17, we a1x S= =
p+pPi P'+PPt
L: e21fi 1(1:),
(184)
Nk_n(Pl).
2
a,,x", + ... + lrnX",
P, Pt
21ri /(Z+p:i:). S(z) = = L:ee2"
z=1
x=p+1 ~==p'+l
Then we get P
=
~
22
S(zi).... .S(zk) S(ZI) ,S(Zk) .
%t ..... zl:=1
Weshall shallsay saythat that aa k-tuple k-tuple Zt, zi,.••• . . ,,Zk belongs to to the first first class, class, if itit is possible to find We Zk belongs nn distinct quantities quantities zZj in it. All All remaining the second second class. class. remaining k-tuples k-tuples are are to be of the Since 2
=
S(zl)...S(zk)+ ,%.
~1 •••• Z1,...pZfc
~l.···.~'
~ 2 L:l S(Zl)",S(ZIr)r +2/ L2 S(Zl)' "S(ZIr) Zl J···.-'Ir
%.
Zj,...,Zk %1 •••••
2,
[rh. [Ch. II, II, §§ 13 13
Weyl's sums sums
92
of the first and L:l and L:2 are over over k-tuples k-tuples of and the thesecond second classes, classes, respectively, then observing observingthat that P ~ pP1 reS'pectively, then PP1 and using using the note note of of Lemma Lemma 15, 15, we We obtain sums where the sums
NI:{P) Nk(P)
Nk(pPl) ~ NI:(PP 1) =
1
1
2 / ....JlSI2kdai / ISI 1: 001 .. •. · dan .
= o 1
~2 /
0
1
I:l S(zl) ... 8(Zk)
... /
o 1
1
+2/.../ o o
dal ... da n
,z,
%t,••• Z1,...,Zk
o0
o
2
2
I:2%. 8(ZI)'"
(185)
S(Zk) dal'" dan.
Z,,...,Zk %1 •••••
0o
Denote by NL D'enote N k and NC the integrals of the right-hand side of this inequality. inequality. HereHereafter we shall designate the number of combinations combinationsof ofkkobject,s objectsnn at at a time by by Cr, Since Since nn distinct quantities can can be be arranged arranged on kk places places in Or ways, ways, then
Nk ~ (Cr)2
J...J I:; 1
1
o o
where in the sum
0o
2
S{ZI)'" S{Zk) dal ... dan,
Z1,...,Zk ~I"",%k
occupy the the first first nn places placesand and the the variables variables Zn+l, ... ,%1e L: ~ distinct z3 Zj occupy . .
,
p]. Hence, observing that independently run over over the the interval interval [1, [1,p]. Hence, observing 2
2
Ll 8(ZI)"
.8(Zk)
%1,••• ,%'. Zj,...,Zk
I:; S{ZI)'" S{Zn)
= =
L8(z) ES(z) Z=1 %'=1
Z1,...,Z1, %1,"·'%" ~
2(k—n) 2(k-n)
p
2(k-h)-1
~P
I:; S{zt}",S{Zn) -'I ,oo •• %'"
2 P
LIS{z)1 2 (k-n), %=1
we get
z1 o
I:18(ZI)'"
2
S(Zn) IS(z)1 2 (k-n) da t ••. dan.
It is is easily easily seen seen that under under aa fixed fixed zZ the the integral integral in this estimate is equal to the the number of solutions of the system of equations
+... — (z
.. ~~~ .:.~~~.:.'.'.'.... ~ ~~:.:.p.'~~!.~. ~~.:.~~:.:.::: ~ ~~.~~~'~~~.' ': }, (Zi +pa4) +
(ZI
—
= (z
+ px~)n +... - (t" + py~)" = (z +PX1)" +... - (z +WIt_n)n
1
(186)
Vinogradov's mean theorem Vinogra-dov's m,.anvalue value theorem
13] Ch, 1/, §§ 13] ch. I!,
93
where 11 ~ xj,yj,Xj,Yj ~ PI, 1 ~ Zj,tj ~ P and under i :I Zj, ti ~ itj are fulfilled. Introduce new variables Xj and Yj
=I
jj
the conditions
Ii
Zj
+ pxj = Z + x j,
tj
+ pyj = z + Yj
= 1,2, .. "n).
(j
Then the system (186) takes on the the form form
.. ~~.:.~.~~.:.'.'.'. ~ ~~.:,~~!.~, ~~.:.~~!.:.',:', ~ ,(~,~ ~~:.~~., }, )
(z + Xl)R
+... -
(z
+ Yn)R = (z + pXI)R +... -
(z
(187)
+ PYk_n)R
thy, determined by and the region region of of variables variables variation variation is is determined by the the conditions conditions 11 ~ x j , iJj ~ PI' P - Z < Xj, Yj ~ P - z + pPl and Xi ~ Xj, Yi ¢. Yj (modp) under i :F j. By (174) (174) the number of does not exceed By of solutions of the system (187) (187) does exceed the number solutions of of the the system of equations of solutions
+...
.~R+.~ '~"""'~'.~.~'~= ~.(~1 . . ~"""'~'~~-.'~ '>.' } , R('R+ 'n) Xl
Xl
••• -
Yn = p(thi +... — 11k—n) )
Ytin
P
Xl
••• -
Yk-n
with fixed Collecting solutions with fixed values values of of stuns sums
1 ~ Xj,Yj ~ pPl pPi + 1 +p,p, i -:; j => Xi ¢ Xj, 1Ii ~ Yj (modp), 1 ~ Xj,Yj ~ Pl.
(ii == 1,2,. xi + ... -— Yk-R (II 1,2, ... , n) +... .
.
,
we
obt,ain obtain
L >
Nt: ~ (c:)2 p2(k-.)
~~~('\l0""'\R)N=('\lP,'" ,,\npR)
~l"",~n
L
~ (Cf)2 p2(k-R) Nk-.(Pd >
N:(,\lP, ... .. ,'\.p.),
~l'''',~n
, where N:(AIP, ... . . , Anpn) is the number of solutions solutions of of the the system the number
~1. ~ '~'.~~.~. ~.1~ xr + - y: = Anp .
R
} ,
1 ~ Xi,Yi ~pPl +p, :f:. j => Xi ¢. Xj, YiIll ¢ 11j (modp),
i
and the n(Pil + 1)" the summation summationisisover overthe theregion regionIAVI 1'\,,1 < n(P 1)" (ii (v according according to Lemma 16 16
:E
T(mptz),, T(pPi1+p) N:(AIP, ... ,ARpR) = T:(pP + p) ~ T:(mpR)
~lt ••• ,~"
where
1,2,... = 1,2, ... , n).
P] + 1 ~ m = [PP1+ m = [PP1 + P] +1 pR
2PIP-(n-l) 2
,
But
Weyl's sums
94
and
[ChI II, II, §§13 13 [Ch.
(mp") isisthe T:(mp") thenumber numberofofsolutions solutionsof ofthe thesystem systemof ofcongruences congruences
x1 +... — y,,
}
.~~ .~:::.~.~.~.~~...~~~~::. , xf +... - y: == 0 (mod?)f (mo,dpR) (modp)
0
1 ~ Zj,Yj ~ mpR, i ~ j => X. ¢. Xj, Yi ¢. Yj (modp).
Therefore, using the estimate (93), obtain (93), we we obt,ain n(n+1)
2
2
2
—
n(n+1)
"
2
(Cfl2p2
NL
n(n+1)
k
1
—
(188)
2
Now we we shall shall estimate estimate the the quantity Nk'. Observing Observing that that the number Now nwnber of k-tuples of second class class does does not not exceed exceed n kp n-l, we get the second
L
2 2 , p
2
L
~ n 2k p2n-2 >2 15(z)1 2k ~ n 2k p2n-2
S(zi) . . . S(Zk) S(ZI)'"
z1
%1 , •••• %~
",=1
,
NC
~ n 2• pl fl p2fl-2 L
f·· ·f IS(z)1
%=1 0
1
p
pr L > IS(z)1 n
2k 2 - n,
.p=1
11
/
2
.-
2
dat, =—n2k fl2kp2nP2n_lNk(pj) nda 1 •. •. •. dan prp2n-l Nk-n(P1 ).
0
n(n+1) Since +1) and n 2 , then and pp>> n2, Since by by the lemma conditions k ~ n(R 2 n(n+1) 2
1
n(n-I-1)
(2k)2t*p2k
2
and, therefore, n(n-F1) n(n+l)
k " 11 ( k)2n 2n 2 NL' ~ '2 2 Hie 'Pt p —k -22- - Nk-n (P) l ·
(189)
Now we we obt,ain obtain the lemma Now lemma assertion assertion from from (185), (185), (188), (188), and and (189) (189) n(n+1) n(n+l)
k , Nil ('_)2np2n 211:- -2N Nk(P) Ie (P) ~ 2N, + 2 It ~ 2 2~ 1 P 2 HIe-n (PI) .
us to make make the the statement of the mean value The recurrent recummt inequality inequality (184) (184) enables us stronger, because because this this inequality inequality reduces reducesthe the estimation estimation of of NNk(P) theorem essentially stronger, k( P) (but not not to Nk-,,2(Pt ) 8.8 as it was obtained earlier in to the estimation for Nk_n(P1) Nk-.(Pl) (but Lemma 17).
Vinogrado,v's m,eanvalue value th,eorem Vinogradov's mean theorem
13) Chi ch. 1/, § § 13]
THEOREM
16. Let 16, Let n ~ 2, 0, kk = = 2, Tr ~ 0, eT
1 n("2+ )
95 95
+ nT, and + nr, ].\r
n(n—l)(1 = n(n; 1) (1- ~r. 2
Then num,ber of of solutions of the system syst,em (178) estima,t,e Then for for the number (178) the estimate n(n-f 1)
(2k)2k(2ny3P2k
Nk(P) holds under under any any P holds
(190)
2
~ 1.
Proof. Since, Since, obviously, obviously,
6o +... +
fl(fl_1) =
2
1
(i —
n2(n—1)1
=
Ti
1
1
2
estimate (190) (190) it it suffices suffices to then to prove the estimate to show show that that n(n+1)
Nk(P)
(191)
2
If rr = 0, 0, then then this thi.s estimate estimate takes takes on on the the form form N,,(P) Nk(P)
~
(2k)2k p2k-n
is fulfilled fulfilled by by (173) (173) under under any any PP ~ 1. 1. Apply Apply the the induction. induction. Let Let under a certain and is cert,ain n(n+1) 1 = R("2+ ) + nT ~ 0 and k Ie = the estimate estimate (191) (191) be fulfilled fulfilled under 1. Prove Prove it nr the underany anyPP ~? 1. n(n+i) +n(T+ 1). We for r +1, for T+ 1, i.e., i.e., under k Ie = = R(~+l) + n(r + 1). We shall consider the cases P ~ (2n)2"k 2 2R 2 and P << (2n)2"k2 and (2n) k separately. separately. If IT P p ~ (2n)2'k2, (2n) 2R k2 , then thenby byLemma Lemma 18 18
rT
n(n+i)
Nk(P)
2
1 1 where P; ~ p < Ph and P1 where! PI = [pp-l]+1. + 1.Since Sincek Ie— - n= = n(;+1) n(R2+1) + = [Pp'] + nT, then using the induction hypothesis, we obtai.n obtain
2k—2n—
Nk_fl(Pl)
(2k —
2
2
(192)
Wey/'s Weyl's sum,s sums
96
Observing that P
[C!,. II, §§ 13 [Ch.
2 and, therefore, > 44 k k2 > and,
11)
pP1
P1 PI
11
ii ( 1-!. 1) <2P <2P < 2 P 1-!n + 1 < 2 P n 1 + 2k ' 1
we get
(pP (pP1) 1)
2k- n("+I) 22
p;r<2t: p p
21:- n(n+l) +(1-1 )er 22
T
n
(
1+
2k—n 11 )2k-n 2k
n(n+l)
e p2k- -2-+~r+l < 3 . 2 ,. 2
But then then itit follows follows from (192) (192) that 2n(k—n) 2n(k-n)
Nk(P) < < 6e Ge
Iek
n(n+l) n(n+1)
', 2k---+er+l 2£T(2n) 2( eo +••• +e,.-1 )(2k) 2"P 2
< < (2k)2k(2n)2(eo+...+e r ) p2
k
n(n-4-1) n(n+t)
+€t41 --2-+e~+1 2
(193) (193)
By the induction hypothesis Let Let now now PP < (2n )2n k 2 • By n(n+1)
Nk_fl(P)
(2k
—
2
and, therefore,
Nk(P) ~ p2flNk_n(P) ~
(2k)2k-2R(2n)2(£o+ ...+e r -
Ie n(n+l) +Srfl 1) pe,.-e r +1 p2 --2-+eT+1. 2
observing that Hence, observing per—er+1 < [(2n)2"k2]
for values values PP less than k2(2n)2", get the estimate estimate (191) (191) too. too. Thus the estimate for k 2 (2n)2", we we get estimate is is fulfilledfor for any any PP ~ 1, and the the theorem theoremisisproved provedcompletely. completely. fulfilled easy to to verify verify that the the estimate estimate Let now k ~ kk0, where k,o k0 = n(R2+1) + Let now nr. ItIt isis easy + nT. o , where (190) proved in Theorem 16 16 for for kk = = k0 holds under under kk>>k0 (190) proved ko holds koas as well. well. ItItsuffices suffices to to use use the evident inequality inequality p 2k - 2k , Nk,(P) Nk(P) ~ p2k_2koNk(p) and apply the estimate estimate (190) (190) to to Nk0(P). Nk,o(P).
Estim,ates 0.( Wey/'s sums Estimates of Weyl's
Ch. 1/, §§ 14] cb. II,
97 91
the mean value theoNote. the help help of ofmore more complicated complicated considerations considerations [44] [44] the Note. With the be improved by removing the factor and so is possible reJl1 can improved removing p£r it possible to get under rem logn,n, pP ~ 1 the estimate n ~ 1, kk > cn2 cn 2 log iz(n+1) n(n+l) 2k--2k
C(n)P — G(n)P
~
Nk(P) N&(P)
(194)
2 2 ,,
wherecc isis an an absolute absolute const,ant constantand andC( C(n) constant depending dependingon onnn only. only. An An where n) isis aa const,ant elementary proof proofof ofthe the mean mean value value theorem theoreminin the the form form (190) (190) isis obt,ained obtained in in the elementary article [37]. [37].
Estimates of §§ 14. E,stimates of Weyl's sums To of Weyl's Weyl's sums S'ums by the Vinogradov Vinogradov method besides besides the mean mean To obt,ain obtain estimates of value theorem theorem we need two comparatively simple value simple lemmas. lemmas.
LEMMA 19. Let /(x) be an arbitraiy LEMMA 19. arbitrary function function taking t,aking on real values. values. Then under under any any P, Fi, PI, a, and andkIewe wehave: have: positive int,agers integers F, P
L: e
10
I(~) ~ -
27ri
:0=1 x=1
'<:::
P1
L:
,=0 y=O
2tri /(:0+11,.1:)
P-l pj
2k-I-i 2k+l
~
e2tri /(:1:)
2 k+ 1 22k-I-1 2
2k 21:
L: L:
e2tri /(:1:+,)
f(s) e2 '1ri /(:1:)
-
>
.
II
x1 2:=1
x=1 2:=1
(195)
~ 0
= L: e2'1ri /(:1:) + = +
2 '1ri /(:1:)
P p
y=O :1:=1 x1 ,,=0
Proof. Under any integer yy P P
+ 2 aPl, + 2aP?,
y,z—1 ,,%=1
x=1 ~=1
L: e
+ PI —1, - 1, +Pi
:0=1 x=1 PI
11 x=1 ~=l
x=1 :.:=1
3°.
27r1 /(:.:+,)
L: L: e
hi /(:0)
p P
P
L: e
1 P < p2 ~
P
L: e
2°.
1 P1-l 11 L:
y+P II+ P
L:
P+y P+, —
L:
f(s) 2 '1ri /(:1:) e62iri
z=P+l x=P-I-1
x=y-I-1 2:=,+1
P
= L: e21ri /(2:+,) + = + 28,y,
(196)
~=l
where
10: 16,1I ~( 1.1. Hence, Hence, carrying out the the summation summation over over'll, we get the assertion assertion 1°: y, we P
L: e
2 '11'i
lex) ~
z=l P
Pi PI
21ri /(x+,)
+ 2y, +2w,
%=1
L: e
2fri /(:1:)
x=1 z=1
p P
L: e
< ~
Pi—i Pl-1
P
11==0
x1 ~=l
L: L: e
2tri /(:1:+,)
+ P1 (p1 - _i). 1). +P1(Pi
__________ [Ch. II. [Cit. II, SJ4
Weyf's sums
To prove the estimate estimate 2° 2° we we replace replace y II by ayz in in the the equality equality (196) (196) and and carry carryout. out summing with with respec't respect to !Iy and z: summing p
E >2 e
p
21ri f(s) /(s)
= >2 E e2tri 1(_+4,_) ++ 29(y, 2,tI(y, z) allz • =
• =1
_=1
P
P
Pt
PI
pl E e21r' /(s) = E
e251f(z+4yz) + 24 E 6(y, %)!I% • 2a E >2 8(y,z)yz. >2 e 2w
'/(s+-,.r)
r=1 , •.p=1 e=l
• '=1
, •.p=1
Hence, because because fO(y, :)I ~ 1 and Hence" l8(v,z)1 Pt
n21D
—
i —
4
the assertion assertion 2° 2,0 follows: follows:
p P
P~ p2
Ee >2
f(s) 2tri [(.:)
.=1
P
Pt Pi
E >2 Ee <>2 ~
x=1 .-1
p,z1 ,._=1
21fi [(1:+_,.) f(s+uuz)
+ 2aPt· +
Determine S1 51 and P1 PI with the the help help of of the the equalities equalities P-l
P
= =E >2
51 S1
E
:It
([sd] +
pi = mm
e2fti /(-+,)
y=O x=1 "=:0 .'=1
1,
---l...-
Then 5121t+1 'PI P1 ~ P and, and. therefore, therefore" p1—i
2k
p
P,—1
p
2k
si.,
>2
o.
Hence, using using the the estimate 1°, Henee" 1 we we get the the assertion assertion 3°: 3°: pP ".>2e2h1tj(5) . . . . . . . .. e 2 'J1" lea) L.-, .==1
pP
.=E
1
2k-I-i 2.+1
e2 ..i /(-)
~ ~
~-1 Pt-i L.-, >
P
"......•.•....•...
11 ,=0 y=O
.,=1 z=1
p.
__1_
e2 ... /(-+,,) + P1 _"1' q ~ 2S12k+1, 2 S··1.2'+1 , + Pi —1 L.-,
-!..-... "..............
P-l p—I
pP e2 ft'i /(-+.) >2e2lri/(x+s)
p:O
&:=: 1
E E
= 22k+1 ~ ~'+1 81 = ~t+l >
xl
2.
2k
99
Esdmates Weyl's sums Estimates of of Weyl's
if, 114] § 14) CIt. ",
given by &h'e the multiple Fourier IJEMMA functionF(Ql)'" F(a1,.. . ,a L,B,MY,A 20.20.HIfa alunc,tion Fourier expansion expansion R ) is given , 00
' .. ,a.= )= ' .L.J ~'.'.".'.' . ": .' F(ai,.. F( ··.al.· >2
C·. (". .1\, \1 •••• ,. A .\ .•" ). .•2tr'l (alA, +...+0,. A.) C(A1,... ,
.
.11 •...• 1 .=-00
satisfying the condition and sAtisfying
F(ai,. ...,0,,) ,a,) ~ 0, F{al'" then under any positive tb,en p,ositive integers int,egcrs 91, .... ,q. we have , 00
F(a1" .. ,aft) ~
E >2 .C(AI91"
91 ••• q.
"\1 .... ,A..
.. ,A"qti)e~hri(Otft Al+... +a "f.. .A.).
=-oo
Proof. Since . . ,a.) ;::: 0, then Since F(o11. F(a1, ... qj—1 91-1
, .. -1
xj=O
z,,=O
F(ai, F(alt ... ,a..) ~ L >2 .,. E F(a 1 + %1 Ct=-O .,.=~o 91
,a" + %n)
(197)
q"
q,—1
oo
= =
....
>2
>2
z,=O
>2
By Lemma 2
(.\11 1+ + ""s.) L ... L e --.t ... --,;-•• = = 91 ... 9.6'1 (~1) ... 6,. (~.). >2 ... >2
qj—11 '1-
,.-}
1
2 •
tn . •.
. . .
_.=:0
xj=D -1:=:0
.
öqfl
Using this thi.s equality, equality, we we obtain obt,ain the thelemma lemmaassertion assertionfrom from (197): (197):
F(ai,..... .,cw,,) F(Ql' ) aM) 00
~ 91 ••• q"
L >2
C{A 11 ••• , l,,)e 2ft'i(OI"\I+ ...+On 1 ")6tl (~1) ... 6,.. (~,,)
Al,••.•,An=-oo 00
= 91 ••• f. =q1
L >2
0(9'1;\1" .. , 9"A.)e21Fi (0191 1 1+•..+ 0 818A.).
A, =—oo "\""',,"\n=-oo
COROLLARY. COR.OLLAKY.
Let fez)
= 01:1: + ... + a,.:c
M
and p
5(01, ... ,aR )
= E e2rr'/(.) • • ,=1
Then under any positive int,egers Th'en integers rr
~
.,(_+1) n(n+1)
n and and kIe we we have the th,e estimate es,tim,at,e
1 P'-2-2. / LR2 IS( ."alt · • · ,a. )1 < ~ k"1P I
I'ti
rr
N(P)('O \ •••• , 0)' . 2tr"ar lA .. · L.J ." , · · · , Ar '. '., e > lA,,, I
Weyl's Wey!'s sums sums
100
[Ch. II, [Ch. II, §§ 14 14
Proof. Let us consider the function 2k
F(ai,. . n ) = 1Is(ai,.. 8 (0'1", .,a n )1 F(al""'O' .
•
.
By (159) ~ ) "N(P)(, F(ai,.. F(a 1, · · •. , \An -= L..J k AI, • •
\.
I
,
An
)e 27ri (a 1 >'1+ ...+On>'n) ,
>'1 f"")."
where the the range of summation is where
IA"I
~
(u=1,2,...,n). (v=1,2,1 .. ,n).
lJ
(198)
0, the lemma lemma conditions conditions are satisfied. s,atisfied. Choose Choose 1
qlJ
= ={
if vii=r, = r, if vii i: r.
1 1 kpll kP"
(199)
Then using using the the lemma lemma we we get
IS(a}, ... ,an)1 Is(ai,... ~
~
2k
q1··· q .L..J " N(P)(q \ q \ )D 211'i(0'1ft>'1+...+ 0 R9n>',.) , n k l A l, "' ., nAn ~
>
(200)
>'1,...,>'"
where by (198) be written in the (198) and (199) (19'9) the range range of summation may may be the form form
IAIII < {fkPr klPr
ii=r, V = r, vi: r,
l~ffif if
A
or, that is is just just the the same, same, in in the the form form A1 = = ... = Ar—i Al .. 1= Ar- l ==0, 0, Observing that
IArl /cpr, lAn <
ql .••• = kn - p qi . . qn =
Ar+l Ar+i
An = = 0. = ... = An O.
n(n+l) n(n+i) ---r 22
,
obtain the from (200) we obt,ain the corollary corollary assertion: assertion:
L
2k an)12k IS(a}, ... ,an) 1 ~ ql ... qn . .q,,
N~P) (0, ... ,,Ar,. ,xr, ... , 0)e2 f1'i ar-'r
>
.
I
. .
.
.
I>'rl
-
It;
"N(P)(O L..J
k
, •••,
I>'rl
f(x) = = a1x + ... + >>2,2,f(x) O'tX +... + a,x", anx n , and and
THEOREM17.17.Let Letn n THEOREM
an =
If P
~ qq ~ pn-l
aa
(J9
-+-, q q2
(a,q)=1, (a,q) = 1,
~ 1.
the estimate estima,t,e then the P
Le ~=1
holds.
181
21ri j(z)
~ e3n p
I 1-
1 2 9n2logn 9n 108 n
\
A
r,
I
•
•
O)·2,..tOt r ).r ,e ·
Es,timates Estimates of of Weyl's sums
0. ch. II, S14]
101
Using Lemma 19, proof. Usi.ng 19. we get
pP
Ee
2k+1 2k+1
pP
P-l
~ 2,21+1
2 '11'" 1(1:)
x1 .=1
L Le
2k 2ff" !(-+,)
x=1 ,=0 .=1 P-l P-I
2k 2k
P
= 22 11+1 L =
Le
2 ft" (al(')I:+ ... +Q.(')~")
(201) (201)
z1 "=0 .=1 y=O
where
ap(y) =
and, in particular, ( ) 0',,-171
/'(n-l)() (y) = en _1 I)! 1/ = = na,,1/ + all-I' = (n 1)!
By virtue of the the corollary corollary of of Lemma Lemma 20 20 we have 2k 2h
p
LP e
2 ft"i(Ot(,)s+ ...+a.. (,).")
a::~1
,,(,,-I) ,i(n—i)
+11
2 ~ k"-l p-2-+
L
N~P)(O .... ,l,,_10)ehiCftOd+O.-I).l.-I.
IA,,_ll
Substituting Substituting this thi,s estimate estimateinto into(201), (201), after afterinterchanging i.nterchangi.ng the t,hc order orderof of summation summation we we obt,ai,n obtain pP
Le
2k+1 21:+1 21r'j 1(-)
,,(a-I) n(n—1)
1 ~ k,,-12,2"+1 p-2-+ 2
.=1 N(P) (0' " . ' t···'
'"
X.:.'
L.-,
J~"_ll
~ Ie Choose
..-1 U+l
2'
P
RCII -1) +1 2
P-l
\ 0)'. "' . <.:.'.• .' •2'ft"'iRa.. A._l' ".-1 L.-," "=:0 . )..
N,,(P
'"
.... '. (:. .'.
L...J... ml,n .p, 1~_ll<'PR-l ..
211 n a
1 l _
""
14and anduse uset,he the condition condition PP e= = ~ in the note of Lemma. Lemma 14
Then we get
•1 E min(p 1 ) > \. . 2I1na"l"_II1 1A.-tldP.-t •• 8n ( kP--l)'" .. ~ £1 + _._q- . . . (p + q)~ ~ 64n akP 1
t
q
1 _1+-_:
2,,' ,
):.
II · 1
P"'
~ q ~ p.-l.
_____ Weyl's sums Wey1's
102
[Ch. II, § 14
and, therefore, 2k-fl 2k+l
pP
Le
21ri
n(n+l)
~
/(X)
n3kn22k+7 p
1
-+ -2 2
Nk(P). 2n'Nk(P).
2
2n
(202)
x==l
Choose 16. Since, Since, obviously, obviously, ChooseTr = [3n log n] + + 1 in Theorem 16.
n(n -1) (12
.
.!.)r < n(n -1) = ~11 __1_, nni
2n3 2n 3
2 2n2' 2n
2n
then by (190) (190) under n(;+I) + +nr nrwe we have have under kk = n(t?1)
=
3
2k- n(n+l) +.!.. __1_
Nk(P)~(2k)2k(2n)n3p
2n 2n 2 2n
22
2 log Substituting this 4n2 log nn we Substituting this estimate estimateinto into(202) (202) and andusing using 3n2 3n2 log n ~ k ~ 4n we obtain the theorem assertion: assertion:
pP
L
2k+1 2k+l
~
e2tri I(s)
128 n 3 k2H8 z4k(2n
t
3
1i
p2H 28
2:=1
~ e3a(2k+I) p2k+I-(1-1.) , p p
Le
1-...!..
1-~
<53np'2k+l 2k+1
21ri 1(2:) ~ e3n P
~ e3n P
1
1
9n2 log iin 9n2101
x=1
The Weyl's sums estimate obtained obt,ained in Theorem Theorem 17 depends depends on rational approxiapproxi= a1 a;+... +... ++ Q'nxR. Let mations for the the leading leadingcoefficient coefficient of the polynomial polynomial 1(x) I(x) = Q'1X similar estimate is valid valid in in the case, when rational rational approximations of us show that a similar case, when an arbitrary arbitrary coefficient coefficient a,. a r (2 (2 ~ r ~ n) are are given. given. LEMMA 21. be positive integers, int,egers, LEMMA 21. Let Let Q, t be
a
(J
(a,q)=1, (a,q) = 1, 181 ~ 1,
a=-+-, q q2
be the thenumber Dum,berof ofsolutions solutions of of the the inequality and T be
t
lIazl! <-, Ilaxil <
Q.
q
Then we we have estima,t,e have the estimate
\
qj
103
Estimates Estimates of of Weyl's sums
14) Ch. II, §§ 14] ch. II,
the number of solutions of the inequality Proof. T({3) the proof. Denote by T(13) tI q
IIax+,811 lIax + ,811 <<--,,
1 ~ x 1
~
q.
By (149) under a certain By (149) cert,ain integer integer bbonly only depending depending on on (3, the estimate
II
hll
ax+b ax + :::; q-
1
1 lIax + + ,811 ++—q
not exceed the number holds. Hence Hence it follows follows that T({3) does does not exceed the number of solutions solutions of the inequali ty inequality
ax+b
1+1
q
of this this inequality inequalityisisequal equalto to 2t 21 ++ 11 and Since solutions of Since (a, (a, q) q) = 1, the number of solutions 21+1. T(,8) ~ 2t + 1. Consider now now the inequality t
lIaxJl <-, < q
—Qiq <x
Qiq,
(203)
1. Replacing x by qx1 + X2, x2, we we rewrite rewrite this this inequality inequality in the form = [~] + qXl + where Ql = + 1. t
lI ax 2 + aqxlil < -, q
-Ql ~ Xl ~ Ql -1, —Qi
1 ~ X2 ~ q.
T does Since Qlqq > Q, then T does not not exceed exceed the the number nwnber of of solutions solutions of the the inequality inequality (203) and, therefore, (203) Qi -11 Ql-
L
T ~
T(aqxi). T(aqxl)'
Xl=-Ql
Hence using using the the estimate T(aqxl) Hence
~
2t 21 + + 1, we we ~;et get the. lemma assertion:
T:::; 2(2t + l)Ql :::; 6t(1 + ~). = alX = ... + Q'"x n , and aix + +... 1 1 /(8)( x ) --= a, + ... + . + + C8+1Q'.+lX... + C"-8 s! a. + n anx n-s
LEMMA22.22.Let Letnn>>2,2, f(x) 1(x) LEMMA f3 B (X ) 138(x)
--=
forsome someint,egers integersy, andt (0 If for y, z,z, andt (0
~
P) unders unders = = 1,2,_ y,z <
11,8.(y) - 13a(z)II ,8,(z) II < < p' —
hold, then the inequalities hold,
Iln!aa÷i(y — z)II are valid also.
( S':;:;. . . . . . 1) (s 1).
(.3 = 1,2, 1,2,... —1) ,fl -1) (8 ... ,n
(204)
[Ch. [Chi II, II, § 14
WeyPs sums Weyl's
104
hll and '1. by means of the equalities equalities Proof. Determine quantities h8
n!
(1
=
h" = ((nn-s+l. )' ' — .s + 1)!'
~
1). s ~ nn — -1).
Then, obviously, obviously, Then, 8-1
+ (n = (n— - ss + + 1: C::~t~an_j+lXs-j+l, + l)a n - s +1 X + = an-II +
Pn-s(X)
j==1
a () h h8!Jn-s + "fs X X = san-. +
.-1
h
s 8-j+l + ~C8-j+l L...J n-j+l -,;:- 'YjX E j==l J+l
s-1
= h sa n - + + 73X + ~H = 7"X + L...J ,j'YjX 8-j+l ,
(205)
8
;=1
where the quantities quantities H31 Hllj are are determined determined by by the the equalities equalities
en -
H . - 0·-i+ 1 ~ _ C s -;+1 j)! IIJ n-;+1 hj+l - 11-j+l (n - s + I)!
(1 ~ j ~ s - 1).
It is that the estimates is seen seen from the the definition definition of h8 h. and H31, H.j, that H 81.
h3
~ ~
n 2s -
2j
(206)
hold, and h. and and H.i are integers.. hold, and that that h, Using the fact fact that under Using the under an an integer integer m and an an arbitrary arbitrary 'y '1 the estimate estimate IIm'YlI
~
obtain from (mlll'i'li from (205) (200) ImI Ili'U is valid, we obt·ain ,-I
h.(Pn-.(Y) -— {3n-,(Z») = 1s(Y -— z) + + 1:H"j1i(yS-j+1 -— z·-i+ 1 ), j=1
8-1
(y31 + + ... ... + (y -- z) + z81I'Y8(Y -- z)II z)1I ~ Ilh.(Pn-s(Y) - f3n-,,(z») II + L IIH. j1j(Y z)(y"-i zn') )11 II j
II
j=1 .-1
~ h"llf3n-s(Y) hsIIfins(U)-- {3,,-,,(z)11
+ + 1: Hsj(y,,-i ++...... + zs-i)1I1;(Y - z)II. z)lI.
(207)
;=1
Now we weshall shall show showthat that under .5 = 1,2, 1,2,.... . , n -— 11 the inequality Now 8 = .
n)28_2 <(2 Ih'.{y {2n)2.-2 P:_II — z)1I z)D < 11i8(v pns
holds.
(208)
105 lOS
Estimates Es:timates of ofWeyPs Wen's sums sums
Ch. 1/, § 14] ch. II,
Indeed, under s Indeed,
this inequality coincides coincides with with the the last of the inequalities (204): = 11 this (204): .
t
z)II = = lI,8n-l(Y) -— Pn-l(z)1I < 1171(Y - z)1I Ih'1(v — <
Apply APPlYthe theinduction. induction. Let 2 ~ j ' s -1:
3 B
~ n
-— 11 and the the inequality inequality (208) (208) be be fulfilled fulfilled under
j (2 n)2'2 ~ (2n)2 -2 ~_j
Jfry,(y -— z)1I lh'j(Y z)II
pn-l ·
1,2,.... . , s -1). — 1). (j = 1,2, ,8
(209)
.
If follows followsfrom from(207) (207)by by virtue virtue of (206) (206) that If 1178(Y —
z)II
—
8-1
+ En 28 +
2j
(s - j ++ 1)p,s-jIl1j(Y —- z)lI. z)JI.
j=1
Hence, using using the the induction induction hypothesis hypothesis and the estimate (204), Hence, (204), we we get
+
— z)II
i + 1)221_2)
< (2n)28_2
under jj ~ s -— 1, then they hold under j ~ s Thus, if the inequalities inequalities (209) (209) hold hold under with the too. Therefore these inequalities inequalities hold hold under under any any ij ~ n -— 1. This coincides too. coincides with assertion (208). the estimate we get get the Now, observingthat that n! n! aa3÷i = 3!7fl8 Now, observing 8!1n-8 and and using using the estimate (208), (208), we 8+1 = lemma assertion:
= II s !1n-.(Y -
un! lin! as+i(y a B+l(Y—- 2)11 z)1I =
~ "=
z)1I z)II ~ s!1I1n-.(Y — - z)1I z)II
8!(2 n)2n-2,-2!..ps < (2 n)2n!..ps
a1x + LEMMA 23.Let Letn n>>2,2, 1(x) LEMMA 2,3. f(x) = = alx +... ... + + lrnx", /3,,(x) certain interval 22 ~ r ~ n certain rr from from the interval a
lt r
Fhrthel·let Further let P
~ q ~ pr-l
6
= -+q q2'
(a,q)=1, (a,q)=l,
= :r j(B)(X),
181~1.
and the sum swn
(pv,
((sS = 1, 2,... ,,n—i). = 1,2,... n - 1) ·
-
and under a
u
Weyl's WeyPs sums
106
extended over over those those values valuesof of yy and z (0 (0 be ext,ended sa,tisfy the the inequalities inequalities positive int,eger integer t satisfy t
1I,8.(y) — - ,8.(z)1I fls(zNl < ps
[Ch. II, §§ 14
y, zz < ~ 'Y,
P), P), which which under under aa certain certain
(s 1,2,... (8 == 1,2, ... ,n—l). ,n -1).
(210)
estimat,e Then we have the estimate n(n-l) n(n— 1)
:E 1 ~ (2n)3R P-2-+ (2n)3"P 2
1
t.
11,%
Proof. Denote D'enoteby byT1 T1 the the number number of of summands summands in the sum El. Then estimating all the summands trivially, trivially, we obtain
:E
n(n-I) n(n —1) 1
2 ~ P-2-T T1. 1•
(211)
11.%
Since TT1 is the the number of those values of yy and z, which g,atisfy satisfy the conditions conditions (210), (210), .Since t is 'then by Lemma Lemma 22, 2'2, T1 T1 does does not exceed exceed the number number of solutions solutions of the system system of of then by inequalities
1,2,... o0 ~ y,z y, z <
— z)li <
and, therefore, does docs not not exceed exceed the the number nwnber of of solutions solutions of the inequality inequality 0O~y,z
— z)li
Replace n!
ilarsU
Since q ~ pr—i, pr-l, then T does does not not exceed exceed the the number ntunber of of solutions of the inequality
Ixl
iIarxii and by Lemma Lemma 21 21
T
6(1 +
Estimates of of WeyIs E.,timares Well's sums sums
14] Ch. ci,. II, §§ J4]
101 107
But then. then, observing observing that that q ~ P, we But we get
T~ 66(1(1 ++ n~p) (2n)2at p ~ (211)311 Pt. (2n)3"Pt. T11
by substituting substituting this esti.mate estimate into (211): The lemma assertion follows follows by (211)= '"
L,
_(,,-I) ..(..-1) n(n—1) n(N—1) - .. .... 3 . ' -3.-+1 2 l~ P 2 T 1 ~ (2n) R P 2 t.
II,Z
THEOREM T'HEOREY 18.18. LetLetn>2, n > 2.
= ala: +... + a.s",
fez) a
a,.
(J9
(a,q)=1, (a, 9) = I,
= -+-2' q ,,"
2 ~ r E; ", &I1d
181 ~ 1. IOK1.
If P pr-l, then then P ~ q ~ pr.-l,
EP P
1-
~ elR p
e,211'i /(-)
1 1 Sot R1101 "
,;=1
Proof. Determine quantities P.(lI) with the help of the equalities fl8(y) =
(a = 0,1, 0, 1,.... .. ,n). (8
4
Then, obviously,
f(x + y) = 19o(y) + flj(y)x +.. . + fl,,(y)x" and according to Lemma Lemma 19 19 2k-fl 21t+l
pP
E
e2 11'i /(-)
P-l P—i
~ 22 k+ 1
x1 .=1
2k 2.
P
E E
e2tr" /(-+,)
p0 ,=0 x1 z:=1 P-i
P-l
= 2,21:+1 E =
EPp e
2 ft'i(J't(,)z+ ...+P.(,).n)
2'2*
y0 FO x=1 ~=1 Further, using the the equality equality (159), (159), we we obtain obt,ain ak+i 2l+1
pP
E
e2tri 1(-)
P-l
~ 22 A-H
z=l &'= 1
E E
y=O .AI t •• o.~ ,'==:0
~ 22 '+1
E At ....,l"
..
NlP)(A12' .... I AR )e21ri (Au'I(,H...+A.., .. h,»
N~P) (A12 ••. .. ,I A.)
P-l
Ee
,,=0
2tri (AI'lbH.. ·+.\,.'..
(,»
I
Weyrs sums WeyI's
108
(Ch. II, II. [Ch.
SJ4 14
where the range range of of summation summation is i,B
(v.=1,2,...,n). Hence, usi.ng using the the Cauchy i.nequality inequality (143) (143) and and the relation (160), we get Henee,. p Le
4k+2 4i+2
P
2 ft"i/(s)
s==1
< ~Z'i:+2
24k+2
.. [N~P)('\h···,'\,,)r
L Aj ~1 •••• ,~..
P-l P—i
L L A, ,... ,.A n .\1,...
e2 ft'i (.\U'1(,)+··.+.\"II.. (,»
y=O "=='0
411 2
= 2 + N 2 k(P)V(P}.
(212)
where
yep) V(P)
22
22
P-l P—i
L L
=
e2.. i(.\U'1(lI)+"'+.A,,~,,(,»
•
y=O "=:0
.\1 ••••• ~a
~
we shall shall estimate estimate the the magnitude magnitudeof of yep). V(P). Observing Now we Ob:serving that $,,(y) PR(Y) does does not not depend on y, !J I we obtain obt,ain P-l
V(P) V(P)
~
2kP"
L
L
e21fi «_t(')-'1(.»Al+... +(II,,-1(,)-Pn-t(.».\.. -t)
y,z=O 11,%=:0 1 1 ....,.\"-1 P—i n—i
1)
(2kPv, 2kP" ,~ ~min2kP'" ~ 2kP" 2I1P.. (y) -_ P,,(2:)II·• fi,(z)II)•· P-l
,,-1
('"
mm
~ (2&)" P" ( L + L ~ , '.1' ".
(213)
1
where the sum R-l
(".
1)
Ll = Ll II min "'" F, liP ( ) - p"z ( )11 '. IliMv) 11,* f,. .,=1 "'"lr —
is extended extended over over those those values values of of IIy and and z, which under i.s under aa certain cer'tain t inequalities
t IIp.(I/) IIfi.(v) -— P.(2:)1I < p.
~
1 satisfy the
(s 1,2,... ,n -— 1). (8 == 1,2, ... ,n
Respectively, t,he the sum Respectively, s'um
>111mm ~2 = ~2 Qmin (P"l IIP..(y) ~- P,,(2:)II) V,Z
y1z
(214)
Es,timat.s Weyl's sums sum's Estimates o( of WeyI's
14] CII. II. S§ 14)
109 10'9
over those those values values of of IIy and z, for which there is is over i,s a8 (1 ~ 11fi8(v)
—
8 ~
n -— 1) 1) such such that
(215)
fls(z)II
23 Cor for the sum Ll the estimate By Lemma 23 e8'ti.mate ..(_-I) n(n—1)
E 1 ~ (2n)3"P (2 n)3f1 p-2-.-+1 t 2
".I
y,z
holds. Applyi.ng Applying the the estimate (215) for one one of of factors factorsin in (214) (214)and and estimating estimating all all t,he the holds. (215) for other lac,tors factors trivially, trivially, we we get
Ly,zP,_ . . . .• . .• .
P—I p.. . -1.
L
&
2--"
:..: '. p
-i.(n—i) 1 = -.1 P - + 2 _( ..-I) 2 -.
t
,.%,=0 y1z=O
t
n(n—1) "en-I) 2
·
Since by virtue of of (213) (213)
V(P) yep)
~ (2k)ap n( El + EJI ,.%
YZ
,.--
obtain then choosing choosingLt = (JP] + 1 we obt,ain n(n—1) _Cn-l)
.
+1 yep) ~ (2k)0P" (21:)" pft(2n)311 p-z 2 -+1 2VP + V(P) ( .,(,,+1)
.)p p-z-+2 n(n—1) n(n-l)
)
2
3
2 -+;-. ~ 3 (21:)"(2n)3. p-2
Substituting this t,his estimate estim,ate into into (212), (212), we we get
p P
E
4t+2 e2rrilCs)
_(_+1) n(n+I)
.'=1
Choose
= [i+~nlogn] +1 3
Tl
k
1
r=2r1,
T= 2Tll
11 n(n+1)i = [~ + n(n.t 1)]J+nri. + nTl'
It is is easy easy to to veri.fy verify t,hat that the estimates It 2IGL
~
9'
n(n + 1) -
33
~ 3 (2k)tlz'A-+2(2n)3n N 2 ,,(P)P-Z-+2.
2
-
+ n1"',
r>3nlogn+n, r>3nlogn+n,
(216)
WeyPs sums Weyl's
110
!)
[Ch. [Ch. II, II, §§ 14
n(n—1) n(n—1)i n(n - 1) (1 _ r < n(n - 1) < -.!-1 < <— (1——I 2 2
\
ni n
2,en 2en33
24
hold. Therefore, obtain hold. Therefore, using using Theorem Theorem 16, 16, we obt,ain N 2 k(P) ~ (4k)4k(2n)"11 p N2k(P)
4k n(n+1) 2
11
-+ 24.
--2
The theorem theorem follows follows by substituting this thi,s estimate estimate into into (216): (216): 4k+2 4k+2
p P
I:e
2 ,n 1(21)
37 37
~ (8k)4k+2(2n)ftll+3ft(2k)ft p4k+ii
:1:=1
11
~ e3n(4k+2) p4k+2- 24 , PP
Le
2 71'i I(x)
~ < e3n p
11-
11
24(4k+2) ~ 24(4k+2)
11—
e3n p
1 2 24n21og 24R 101 n
2:=1
The estimates of the form P P
Le
21fi /(2:)
l---~-1-
~C(n)P C(n)P
n2log 0gft ,,21
(217)
:t=1
obtained in Theorems 17 and and 18 18 are are est,ablished establishedon onthe theassumption assumptionthat that PP ~ qq ~ obtained Theorems 17 pr—i, pr-l, where denominator of of rational approximations approximations of the the r-th r-thcoefficient co,efficient where q is is the denominator of the polynomial 1(x) = = lrtX of polynomial fez) +..... + aix +. + £tnx R : a
Or
8
= -q +-, q2
(a,q)=1, (a,q)=l,
161~1 IOK1
the estimate estimate(217) (217) holds holds under pe It can be shown that that the
(2~r~n). ~ q q ~
pr—s with with an arbitrary pr-e
e > 00 too, too, but butititleads, leads,asasininthe theWeyl Weylmethod method (see (see the thenote noteof ofTheorem Theorem 14), 14), to to worsening the constant worsening constant 'y. /'
15. Repeated § 15. Rep,eated application applicatioll of of the mean me,all value value theorem the,orem Let fez) f(x) Let
= a1x lrlX +.,. S(P) be be Weyl's Weyl's sum +... + + Q'n+1 Xn + 1 and S(P) p
= S(P) =
Le
21ri [(x).
(218)
x=1
We shall shall write write the the estimate for for this sum in the form We form (219)
Repeated app./ication application of the Repeated th,e mean m'ean value theorem theorem
i5J ChI Ch. II, §§ 15]
111
reducing factor. and call PP a re,ducing generic p,eculiarity peculiarity of different different methods of the estimation estimation of Weyl's A generic Weyl '8 sums consists consist,s reducing factor factor becomes becomes smaller smalleras as in in the process in the proces:s of obtaining obt,aining in the fact fact that that a reducing the estimate (219) (219) the the sum sum S(P) 5(P) is the estimate is raised raised to aa greater greater power. power. So So in in the the methods methods Mordell, Vinogradov, Vinogradov,and andWeyl Weylthe thesum sumi.sisraised raisedto to aa power having the the order of Mordell, power having log n and 2 ft , respectively, respectively, ultimately ultimately it leads leads to estimates with reducing factors n, nn22 log fact,ors 1
a"2
"1
--
p;i, pi, P n'log n
A
and p2 where /1 and 72 12 arc certain positive positive constants. const,ant,s. Results exp,osed exposed in in this section section are are of of another another charact,er. character. Here Weyl's Weyl's sum is is raised raised to a comparatively large power power having havingthe the order order up up to n4, this does n 4 , however however this does not comparatively large lead to worsening estimates. On lead to worsening estimates. On the the contrary, contrary, itit becomes becomes possible possible to improve improve the reducing factor and and besides besides to to decrease decrease (or (or even evenreplace replaceby byan anabsolute absoluteconstant) constant) the reducing factor coefficient C(n) (219). The last circumstance circumst,ance is of great importance import,ance coefficient C(n)in in the the estimate estimate (219). iii those those cases, cases, when whenunder under the the growth growth of of PP the degree of of the the polynomial polynomial I(x) f(x) grows in grows also. These results are also. are based h,ased upon upon the thefollowing following lemma. lemma. ,
LEMMA Underany anypositive positiveint,egers integerskk1 andkk2 forthe thesum sum (218) (218) we we have have the the LEMMA 24.24.Under 2 for 1 and estima,t,e estimate 24k1 k2+4k, p4ki k2—2k, S(P) v I
where wbere
(\ \ ) N{P) (It Ii ) e 2 11'i «(11#11 +... +,8"I'R) . V= = ~N(P) V £J 1.1 .1\1, • •. • , .l\ft k 2 ,....1, ·· · ,,..,n , .
the the range range of summa,tioD summation is
(ii (v
= 1, 1,2,...,n) = 2, ... , n)
and the quantities quantities /3,, p" are determined det,ermined under 11 ~ JJii ~ n by by the the equality e,quality
+ ... +
= Proof. Consider the sum Proof. Conmd~theswm 8S11 = =
p P
2k1
P
L Le
2 11'i
/(:1:+,)
y=1 ,=1 x=1 ~=1
Define quantities a,,(y) and and fib Po with with the the help help of of the the equalities equalities 1 = --, /
(y) (v = 0,1, ... , n + 1), (v=0,1,...,n+1), IJ. fio = alAI +... + anAn and write write the polynomial f(x + polynomial f(x +y) y) in the the form form
alley)
f(x + y) = 00(y) +
+... +
(220) (2'20)
Weyl's sums
112
[Ch. U, 11, § 15 15
By (159)
IPP
12k1 2kl
~ e2'1l'i (al(lI)z+... +an +l(II)Zn+l)
I
>
z=:1 Iz=1
I
= =
'"
N(P)
L..J >2
kl
2,ri (Ql(')~l +... +Qh+l(Y)~h+l) (A 1, • • ., An+ 1 \)e21T1
~lt ...• ~"+l
and, therefore,
81 = Si =
p
2k,1 2k
P
L >L e I
2 '1l'i(a1(II)z+... +an + 1(II)Zn+l)
I
1/=1 2:·==1 5=115=1
I
P
= =
.,An+i)
>
Since by (163) (16.3)
..
> then observing observing that
S 1 ./ Si ~
Q n
+l(Y) depend on y, y, we we get (y) does not depend
'Pp
I
N(P)(\ \ ) "'e211'i(Ql(lI)~1+... +Qn(Y)~R) hi 1\1,· • • ,"'n+1 L..J 15=1 ~tl •••• ~"+l 11=1 I) P ""' N(P)(\ \ ) "'e21ri(Ql(')~1+ ...+Q.. (II)~n) • L..J 1:1 AI, • • • , I\n L..J
'" L..J >
I
I
= =
>2
~l".'J~"
I
11=1
I
Applying the inequality (141) (141) and using the relation n + ... + Qn(Y)A n = Po + fJl~Y +... + Pnyn, which follows followsfrom from the the definition definition of of the the quantities quantities P., /3,,and and all(y), a,,(y), we obtain which
Ql(y)'xl
A))
( >2
I
x
'"
L..J >2
~l, ••• t~n
P p
2k2 2k2
N(P) (\ \ ) ""' e2Jri (,81'+"'+,B",,") kl 1\1, • • • , An L..J y=i y=1 I
=
= p2kl(2k2—l) p2kl ( 2k 2- 1 )
L >2
'\1 t.",~n t (2k -1)V, = = p2k p2kl(2k2_l)V, 2
I
Pp
N~~) (.~11 ... I
An)
L ,=1
2k22 2k
n e2 '1l'i (P11I+ ...+Pnll ) I
(221 (2'21
ofthe th,e mean mean value value theorem theorem Repeated app,licat;on application of
Chi I!, II, §§ 15] 15] ch.
113 113
where V is determined by where V by the the equality equality (220). (2'20). Let us show show that V V ~ p 2k t. Indeed, Indeed, it is is seen seen from from the determination determination of the the Let (220)the thesum sumPIflip' +.. . + quantities p., that in in the the equality equality (2'20) IJI +... +PnIJn is a homogeneous homogeneous linear function of the quantities AI," .,, A,,: linear function An: .
by (159) (159) But then by
""' (\AI, • •. .• , An \ )e211'i ({JIPt +···+Pn,'L,,) L..J N<.P) kl ~l, •••• ~"
-
=
""'
L..J
N(P)(\
.
AI, • .• • ,
kl
\ )e271'i('")'l~1+ •.. +",,~n) ........ ~
An
0, 0,
and the quantity V by the the S'ummand summandobt,ained obtainedunder underIJlp' = and the V can be estimated estimated by = 0: JJn = 0:
(II. , · · · , rn Ii. ) k2,-1
""' L..J >
V -III
N{P)
,···,11"
(222) (22'2)
~1, •••• ~"
N{P) (\
""'
L..J
kl
\.
Al , • • • , An
... ==
)e271'i (PtP.l +... +,8,,1'&,,)
~1 , ••• ,~ ..
~ Nk2(P)
L:
= P2klNk,(P) N~~\\11"... I An) = p 2k t N k2 (P) ~ P2k'. p 2k t.
(223)
~l"".'\n
Now, (195), we get Now, uS'ing using the inequality (195),
15(P)12kl+1 ~ < 22k1 +1
pP
P-l p—i
L: L: e 11'i l(z+lI)
2k1 2kl
2
I
,=0 x=1
P
~ 22k1 +1
2k, 2kl
P
L: L:
e2 11'i /(2:+,)
y=O x=i ,=0 x=l
/
(p2k, + ~ ~kt+l (p2k + t
t, t,e P
P
21ri/(Z+II) 2k) = =
)
y=i x=i
~kl+1(p2kl ++ S1). 51).
Hence, using using the the inequalities inequalities (221) (221) and and (223), (223), we weobt,ain obtain the the lemma lemma assertion: assertion: Hence, (p4fik2 + 15(P)14klk2+2k2 ~ 24ktI:2+412-1 (piktk2 + 5~k2) I
2k t V) ~ 24ktk2+4k2 p4ktk2-2kt v: tk + p4k1k2_2klV) + p4k
24ktk2+4k2—1(p4k (p4kik2 1k2 ~ 24ktk2+4k2-1
2-
C,OROLLARY. Under COROLLARY. Underany anypositive positiveintegers integerskk,, and m m (1 (1 1 ,kk2, 2 , and (218) estimat,e (218) we we have have the estimate
~
m
~
n) for n) for the sum (224) (224)
15(P)14ktk2+2k2 (2k2)" 24k, k2+4k2 ~ (2k 2 )R 24klk2+4k2 P
4k
in(m-i) It:k2-2k —2k,+ m(m-l)
+
1 2
1
22
Nkl.n+1-m(P)Nk2,n(P)u, Nk, n+i _m(P)Nk2, ,
[ch. [Ch. II, /1, §§ is 15
WeyI's Wey!'s sums sums
114
where where
=
(em,
mm
IAjl <
summa,tion range is the summation
... mm
(225) (225)
k1Pi and the the quantities quantities
p" are determined det,ermined by by the the
equalities
=
(1 (1 ~ vII ~ n).
+
Proof. Since Since by (222) ~
N(P)(\
L..J
-'I
t" ••
1.1
.
AI, • .• • ,
\ )e21ri(Pl#tl+... +Pnlta> . . . . 0 "n ~ ,
,~n
then, obviously,
= L..J ~ N<,P)(u Ii) V V= 1:2,1, · · · , ,R ~
k2,R
~ L..,.,
(P)
N(P)(A A, )e21ri ({Jlltl+... +IJnPR) kl 1, · · ., n
-'I "",~n N(P)(\
Ill,···,It"
./ N
~ L..,.,
~
L..J
kl
\, )e21fi(PIP.l+ ... +PnIJR) "1,· · · ,I'\n • .
.
A1 P1 ,..,Pn ~I"","\n PI ,..·,Iln
obtain · Interchanging the order of summation, we obt,ain V V
~ X
Nk2,n(P) (2k1ptz, (2klP, 211~11l)·.....mm L N1~)(Al, ... ,An)min(2klP' min(2klpn'211~nll) . .
21148fl11)
"\1,"""\"
m(m-l) m(m-1)
~ X
(2k l )"P
22
Nk 2I n(P)
(pm, 1) •.. min (pn, lI:nll)L > N1~)(All" ...,A n) min (pm, 1I,8~II) ... mm
mm
,
"\1,... ,-',.
not depend that under Hence, observing observing that under m m ~ 22 the quantities quantities I3i,•• PI, ... , Pm depend on I3m do not using the equality A An+2_m,..., n +2-m, ••. , An and using
L >
N1~) (AI, .. · ,An)
= N1~) (AI, .. · ,An+l- m ),
"\n+2-m ,... ,"'\,.
we we get get the corollary assertion: m(m-l) m(Tn-1)
V V ~ (2k 1 )"P
22
NI: 2 ,n(P)
(en, 11:,,11) L A1~)(All ... ,A~+t-m)min(pm,1I,8~II)···min(P'" ) Ai,...,An+i..m 1
X X
.
m
"\1""'~R+l-m m(m-l) m(m-1)
flp
~ (2k 1 )" ) P
22
Nk1 Nkl,,,+1-m(P)Nk2,"(P)U,
.. mm
12
2+2k 2 IS(p)l
115
app,lication of ofthe th·. mean m·ean value value theorem theorem Repeated application
Ch- II, § 15] 15] ch.
S(")I4
~ 24k1k2+4k2P4k1k2_2ktV 2"' k 1k 2+4k2 p
m(m-1) m(m-l) 22
N kl,n+l-m (P)Nk2,nO', (P) Nk1 ,n+i _m(P)Nk2
where
> from the inequality (224) It is seen from (224) that Lemma Lemma 24 reduces reduces the estimation of the the sum S(P) to to the theestimation estimation of of the the product product of of the the quantities quantities Nk,,fl+l_m(P) Nkt,n+l-m(P) and and Nh2. n(P). In estimating estimating of this product product one one has has to to apply apply the theVinogradov Vinogradov mean mean Nk2, value theorem That isis why why the the use use of ofLemma Lemma 24 24 in in estimating estimating Weyl's Weyl's sums sums value theorem twice. twice. That is referred referred to to as as the repeated theorem. Let is repeated application application of the mean value value theorem. Let us us show show enables us us to to strengthen that the the repeated repeat,ed application application of of the the mean meal1 value value theorem theorem enables of Weyl's Weyl's sums obtained obt,ained in in Theorem Theorem 17. 17. the estimates of
THEOREM Let THEOREM 19.19. Let P P> > 1,1,nn>> 2,2, f(x) == alX + ... + a,t+lXn+1, +... a
f) 0
an+1=—+-j-, = -q +-, q2
lr n+l
(a,q)=1, (a, q) = 1,
be determined det,ermined by the the equality equality qq and r be 11 ~ r
~
= p'. pr.
161
~ 1,
Then under any any r from from the interval int·erval Then
we have the estimate estimat,e n we 2nlog n 2nlo'8
pp
L: e 11'i 2
1(:.:) ~
1
3n—Iogs)s)p 2 e .200 8 3n-log p
1—
1
2 3n—log a) 95n2(log 95n (log 3n-Io'! oJ)
,
(226) (2'26)
:1:=1
where s = min ([r], [n+1—r]). [n + 1- r]). wheres=min([r],
24 the the estimation estimation of the sum (226) is Proof. According According to to the the corollary corollary of of Lemma 24 reduced reduced to the estimation of of the magnitude magnitude of
=
mm
(pm,
... mm
(en,
1,..., n+1—m
where the summation is is extended extended over over the the region region where
~d and
k1P1 (1 IA·I < ktPi J
+
~ jj ~ n + 11— - m)
PII = C:+ 1(lv+l At + ... + C:+ 1(}n+l An+l-,,' Determine by means of the equality f3~ = C:+ta,,+lAl + ... + C:anAn-" and D'etermine f3'v by write Pv in the form writ·e
=
+
(m
~ IIii ~
n).
[Ch. [Ch. II, II, § lS
Weyl's sums sums
116
An+l- IJ , then by the note not,c of of Lemma 14 14 under e = =~
Since f3~ does not depend on
we have we have the the estimate
( 8
+
k'
)
q
Denote by D'enote by
(pv +
)
q
(pv + q)P2n.
the sum
0'1
0'1 ==
L
(pm+i
min (pm+l,
mm
~., ••• ,~n-m I,..., n—rn
lI;nll)'
(pn,
... min (pn, 11,8:+111)'" mm
depends on on An+i_m, Ob:serving that among among the the quantities quantities /3m,.. Pm, ... ,{3n Pm depends An+l-m, we we Observing ,13n only 13m get
L_ITft mm (p", (p", 11;,,11) ,m
= 0'a =
min
.-\.,..• ,.-\,.-m
v=m+1 II--m+l
::;; k1 24n ( 1 +
L
(pm,
mm (pm, min
.-\"+1-n,
1I,8~II)) 1
m
pn+1-m pn+l-m)
q q
1. 1 )(Pm+q)P2naI. (pm + q)p2nO'l'
(227) (22'7)
FUrther sum a2 0'2 be be determined determined by by the the equality equality Further let the sum
a2 = =
0'2
" L...J
.-\.1,•••, J"'J~n-m-l n—tn—I
. flflfl IWn
(pm+2
1) . (pn I)Pn1)II ·
mm '11,8".+211' Dflrn+211) · · min
,
Since among among the quantities dependson on A An_rn, then similar Since quantities flrn+1,. ,8m+l, . .. ,(3n Pm+l depends , fi,, only f3m+1 n- m, then to (227) (2'27) we we obt,ain obtain o1
we arrive arrive at at the estimate Continuing this process, finally finally we 0' a
~
n-I-I—rn n ( pn+1—v n+l-m pn+l-,,) 2n kf+l-m24n(n+l-m) p~ 1+ (pll (P" + + + q). q).
II II
lJ=m
)
qq
Choosem=n+1-s. Choose m = n + 1 - s.Then Then m=n+1—min m n + 1 - min(Er], ([r], [n+1—rJ) [n + 1 - r)) ~ r,
=
[n+1 nn+1 + 1—m - m= =min([r], min ([r), [n + 1 -—rJ) 7~J)
~
T,
117
Repeated of of thethe mean valuevalue theotem RefJ,eatedapplication application m,ean th,eorem
Ch. II, §§ 15] ch. II,
and under z'v ~ m the inequality n pra+ 1 - 11 ~ q, q, pI! F" ~ q, and !i
2
a ~ kf24n p2 U
+ 1+ 1
ii ~ r ~
— 1I
4n2
1
is satisfied. is s,atisfied. Therefore,
n(n+1) n(n+l)
m(m—1) m(m-t)
2 P-2--
22
n
II 4P" ~ (4k )"2 [J4P"
v 1I
1i
+2'.
lI=m
But then according according to to the thecorollary corollary of of Lemma Lemma 24 24 4k1k2+2k2 4ktk 2 +2k 2
P P
:E e
2tri I(z)
(2'28) (228)
2:=1
n(n+1) n(n+l)
1
~ (8 (8 klk2)n24(kjk2+k212)P4k1k22k1+ k'1 k·2 )n24(ktk2+k2+n2)p4ktk2-2kt+-2-+i N (P)Nk2," (P) · 2 Nk,,8(P)Nk2,fl(P). ~ . kttS
Now we form indicated in Theorem 16: 16: Now we use use the the mean value value theorem theorem in in the form
(2k)2k(2n)n3P2k_ where P ~ 1, whereP?1,
1"
~ 0, Iek= =
n(n+1) 2
+ n1" and
n(R +1) 2
n r1 and r2 1"2 by the the equalities equalities Determine 1"1
r1=2s, = 28,
1"1
1"2
= 1· + [2n log
3n]
-;- .
Then, obviously, obviously, _
_ cr2
!)28
32 1) -1) ( _ 1\28 ~ .9(3 S(8 — -. 1) ~.2 1)11 22 1— 8 ~ 2e2 2e2 < < 2e2'
— 3(3 — _ 8(8
c"'1 — -
< ~
1)s22 n(n - 1) ( 1 )2n(l+IOg 3:) n(n -— 1)8 82 < <18 22 1 - ;; ~ 18 n < 18· 18n22
Therefore, choosing
k1 = 3(3+1)
+2.92
and
k2 = n(n+1)
+n+n[2nlog
we obtain
Nk1 ,.(P)Nk2
(2k1
)2k1
(2k2)
2k,
(2s)
(2n)
+2k,
n(n4-1) 2
8(3+1) —
2
Weyl's sums
118
[Ch. II, § 15 [Ch. is
and En that 11 ~ s8 ~ n + C1-2 2k1 ++11 ~ 732 7s2 and e r1++ er2 ~ + i, 2k1 Now, observing that we get k 2+ 2k 2 4k1k2+2k, P 4kt p a(a+1)
Le
1
82 ,
from from (228) (228)
1
21ri /(:t)
2:=:1
C(s, where
8 2k1 2 C(8, n) = (2k1)2Aa (2k (2n)n (8k1 k2 )"24k, Rziktk2+4k2+4n2 24ktk2+2k2n40R8. (Sk tk2) (2k2)2k2(28)83 k2+4k2+4n2 < < 24k1 2 )2k (2s ).8 (2n)'3 Hence, because under n
k2 k2
>2
2 klk + 2 2 311 k2 <2.5n2 < 2.5n log log. -3n and 22k1k2 lOs n log log-, 2 > 10s2n2 2 +k 8 . S
the theorem theoremfollows: follows: Pp
Le
20n 3 20n3 ~ 2 n 2ktk2+k2
2tti /(x)
P
1 __1I_ 38k2 38k,
x=1
2n1og n 2nlogn
a2(Iog 3n-log 3n—Iog8)a)pp ~ 2 2 ee .'(log
11—
11 95n2(log 3n—log 8) 95n 2( 108 3n-log
(229) (2'29)
Note, that Note, that the thestrongest strongestestimates estimatesininTheorem Theorem 19 19 are are obtained obt,ained under underlarge largevalues values from (229) (229) that that of 8. So, for follows from 3. So, for inst,ance, instance, under under even even nn and and ss = i it follows p
Le
1
2 11'i /(.1:)
~ 11 P
1_
172n 2 •
11:=1
!) for any 8s > en we we have the estimate cstimat,e
Under an Under an arbitrary arbitrary ee (0 (0<
p
Le
2wi I(z)
~ CP
1-~ n
2
:t=1
with constants constant,s C C and and 71 depending depending only only on on e. Finally, Finally, the the estimates estimates of of the the form form pP
"" e2 11'i lex) ./ Cp LJ ~
11•-
~
n3iogiogn n'log log"
11:=1
and
pP
L
1 _ _"'1_
e21ri /(x)
~
Cp
1-
nn2iogn 10g n, 2
2:=1
where constants, follow follow from from Theorem 19 under 3s where CC and '"I are absolute constants, S3 ~ ¢n, respectively.
~ -nand I and '08 tt
119 119
Sums arising arising in in ze:ta-functJon zeta-function theory Sums th,eory
Ch. 1/, §§ 16) 16] ch. I!,
Sums arising arising in in zet,a-function zeta-function the~ory theory §§ 16. JO. Sums In In investigating investigating aa problem problem on on aa bound of zeros zerosof ofthe the Riemann Riemannzet,a-function zeta-function there there
arises necessity necessityto to obt,ain obtain nontrivial nontrivial estimates estimates for for B'umS sums of of the the form form arises q+Qt Q+Qi
E
S(t, Q) = =
zit
(Qi
(230)
Q).
z=Q+1 z=Q+l
The strongest strongest estimates estimates of of B'uch such sums sums arc arc obt,ained obtained with with the the help help of of the repeated The repeat,ed and applied applied application of the the mean mean value valuetheorem, theorem,which whichwas wassuggested suggestedinin[24]—[26] [24]-[26] and [27], [28], [28],[47], [47],and andininaa series series of ofother other papers. later in [46], [46], [27], At first we we shall prove prove a lemma lemma similar similar to to Lemma Lemma 24. 24. LEMMA2,0.25.Under Underany anypositive positiveintegers integersP,P,n,,i, and and kk for for the sum LEMMA S= S =
P
p
E Ee
2 71'i(Ol$1I+ •..+
Q
y
"zR n)
x=I y=1 :1'=1 ,=:1 we wehave have the the estima,t,e estimate p8k2_-4kV,
(S14k2
where
2k
pP
V= v=
'""'e21ri(Ql~tl:+ ... +Qn'\n%")
..,.\,,) L...J
'""'
N(P)(\ \ ) It At, · • • , An
L...J >
(231)
x—1 z=l
"\1,"""\"
and a.n~ the summation summa,tion is is extended ext,ended over over the the region region
(ii = 1,2,... (v=1,2, ... ,n).
Proof. Using obtain Proof. Using the the inequality inequality (142), (142), we obt,ain
ISl 2k
I
(t. i;e
~f
1.1'
\2k
P
x=a y=1 P
~ p2k—i p2k-t
2 11'i(OIZv+",+ o "s"r/') ) 2k
E EP e
z=1
2k 2k
P
2 11'i(Olsy+...+o"z"II")
y=i pI
Since by (159) (159) 2k 2k
p
P E >
e2n(ala:y+..• +QR~"yn)
,==1 y=I
= L...J = '""' ~1 •••• ,~"
N{P) (\ k
.
\
1\1)· • • , An
)e21f'i (Ql~Ia:+ ..• +Qn~R~R) ,
(232)
WeyPs Weyl's sums sums
12'0
summation is is extended ext-ended over over the the region region where the summation
IAII
181
2k 1S12k
~ p2k_i p2k-1
P
N~P) (>11,' .... ,An) ~
L
,
e2 ft'i (lr\,xp:+ ..•+a,.,x,.z")
I
x=1 ~~l
~1 •••• ,~"
inequality to to the thepower power 2k 2k and and use use the theinequality inequality (141): (141): Raise this inequality
P4k2_2k( ISl 4k2 ~P4k2_2k( I
L N~P)(A1, ..... ,An) >
te21ri(lr\,x\z+,..+a,.>.,.z")
,
s=i 3: .....1
-\1 ,•.• )~,.
~ p4k -2k 2
/ (
L
2k-l
N~P) (At, ... , All)
~1 , ••• ,.\"
) 2k
P
N{P) (' k
'"
xX
) ' " e21fi (Ol.\lX+ ••. +o,,~ .. 3:n)
\
"1, ··· ,An L.-J
L.-J
.
.\1 )... ,.\"
:1:=1
(164) Hence, since by (164)
L
N~P\Ah .... ,AII) = = p2k p2k,
.\1,....-\,.
we obt,ain assertion of of the the lemma: lemma.: we obtain the assertion 4k2 ISI4k2 181
L
2 ~ p8k2_4k p8k -4k <
N~P)(Al" .. . . ,An) ,
P
2 ft'i(a\,x\z+ ...+a,.,x,.z")
x=I 3:=1
.\1 .... ,.\n
= =
Le
2
4k V. p8k2_4kV p8k
=
COROLLARY. Ifunderu=1,2,...,n C'OROLLARY. If under II 1,2, ... ,n a,,
all 8 0"=-+2' q,, q,, qll qll
~hen
11
) (a,,,q,,)=1, a",q" =1,
(
integer under any positive int,egeI'
n(n+1) Iek> ~ n(n + 1) 2
for for the sum
Ss= =
P
L
e21ri(OtXlI+...+OnZ",")
x, y=1 x,y=1
we have have the estima,t,e estimate
181 2k2
4k2-2k+...!..
k)2tzP4k ~ (2 1e)2n p .
2k Nk(P)
II min n
11=1
(
pI! )
P",,;q; + -.
vq;
.
121 121
Sums arising in in zeta-function theory theory Sums arising
Ch. II. 1/, §§ 16] 16] ch.
Proof. For the quantity quantity V V determined determined by by the the equality equality (231) (231) we we get proof.
v= V
L
12k 2k p Le211'i(QI~I~+ ... +Qn~n:r;n)
i
N~P)(Al, ...
>
,An)
~1,. •• ,..\"
s=i x=1
I
I
pP
2k 2k
Le L s=i I
2 11"i (Ql '\12:+".+O'R'\" X n )
~ NJ:{P)
'\1,... ,>."
L
= Nk{P) =Nk(P)
I
x=l
I
L >
P)i N~P)(l'b"',l'n)
e211'i(al~llll+ ••• +Qn~n"n).
>'1,... ,>.,.
111,···,11,.
Hence 1t follows by Lemma 1 tha,t
V~Nk{P)
L
L
N~P)(l'l'''',Jln)
I't ,.··tlln
~ [Nk{P)]2 . L
2I1a~Jlll1)'" 2IIaiiiiII) 1
min (2kP,
III ".'J,t"
~(2k)R[Nk{P)]2iI ft
L
Vi III., l
e211'iQnlln~n
1,\,. I
l'\t)
I
L
e211'iQIIII~I...
mm (P/I, lIa min
mm
n (2kPtl,
min (2kP ,
l
2I1a~JlRII) (233) (23,3)
ll).
"PII
According fl'om the the interval interval (0, (0, 1] 1] we have According to to the the note of Lemma 14 under any e from
I
pu \2 -11+——
e\
Since Since the the trivial estimate
L
1
II) < 2kp2v,
mm (P/I, lIa I min
liP"
IIlIl I
always valid, valid, then choosing e = = ~ we is always we obt,ain obtain from (233)
tJ
2 vV ~ (2kt[Nk{P)]2 ftmin min [2kP v=i
~ {2k)4R[Nk{P)t
/1,
ptin
tl
8:
L
r 2/1, min fi mm v=i I
P/lt:(.;q; +
Pp21
~) 2]j
P11)2] [p (.;q; + ~) 2].
WeyPs sums Weyl's
122
[Ch. II, /I, §§16 16 [Ch.
Now, using Lemma 25, we arrive at the the corollary corollary assertion: assertion: ISI2k2
< (p8k2_4kV)i
fimin (eu, To estimate the more. Denote the sum sum(230), (230), we we need need two two simple simple lemmas lemmas more. Denote by by to aa certain finite finite set M. the sum extended over integers integers x x belonging belonging to
2:z EM
LEMMA 26.Let Letfunctions functions11(x) fi(x) and f2(X) be defined under xx EE M. M. Then LEMMA 26. defined under
Le
=L
21ri (!1(Z)+/2(Z»
xEM zEM
ee221ri / 1(x) +21r8
zEM xEM
L 1/2(x)l, zEM xEM
where181 181 ~ 1. where Proof. Since, Since, obviously, obviously, —
ii
2lsinlrf2(x)l
then
L e 11'i 2
L
(/t (:1:)+ 12(Z» —
xEM zEM
e21fi 11 (x) =
=
xEM zEM
L le
~ >
21fi
-11ii
2
/ (x) —
~ 2'2ir 11"
xEM zEM
L
L
e21ri /2(X) (e 21ri /1 (x)
-—
1)
xEM
If2(X)1
zEM
and, therefore,
L
e2 11'i(ft(s)+h(s» =
rEM %EM
L
e211'ift(s) +2irO +2'1('6 L 1f2(X)I, > Ih(x)l,
rEM xEM
xEM rEM
where 181 where 181 ~ 1.
LEMMA2'7.27.Let Letn,n,P,F, LEMMA
Q, Q Q, Qlbebepositive p,ositiveintegers, int,egers, Ql under any t >>00we we have have the the estimate estima,te Q+Ql
L
zQ+1 z=Q+l
zit
P
L
~~
e2ll'i(a 1 sy+...+a n S
n
n
u
)
~
all
=
(-l),,-lt 2irvq" 211" JJq"
(v=1,2,..,n) (JJ = 1,2, .. , ,n)
and q is a certain cel'tain integer int,eger from from the the interval interval (Q, 2Q]. 2Q],
< ..Jlj. Then
+2P2+Qt(~r+\ + 2P2 +
x1y=1 xt,=l
where
Q, Q, and and PP
123
S.ums arising th-eory Sums arising in in ze,ta-function zeta-function theory
Ch. 1/, II, §§ 16]
Proof. f(z) be be determined determined by by the the equality equality proof. Let function 1(z) t f(z)= f(z) = 21f log(Q+z). log(Q+z).
we obtain Then using Lemma 19 we Q+Qi
=
zQ+1
Q1
L e2
'6i f(")
Q1 1 Qt ~ < p2
P
L.: L >
21li /(,,+:1:,) + 2p2 e62wif(z+xy) +2P2
z=1 %=1 z,y1 z,1I=1
%=1
P
L
~~
ee22ri /(Zo+:l:II) + + 2p2, 2P2,
(2,34) (234)
zx,,=1
where where
= max Denote by q the sum sum Q Q + zo. Zo. Then, obviously, obviously, Q
i
f(Zo
<
xv
t
log(1+_) + xy) = 2: log q + 2: log (1 + ~)
tixy (xv X2 2
tip (P2)R+l
xy\
/ 22 nfl' y t zy t XRyR) t = -logq+ - - - + ... ± - . +6(x, y)- 2'71" 2'71" q 2q2 nqn 21r Q
(p2)n+l
t . t fp2\fl+1 = i— log 9(x, q + ajxy +... + a,,x"y7' + = 2'11" log q + alXY +... + lrnxRy" + O{x, 1/)2'11" Q '
1. Hence, by Lemma 26 it follows where 0 ~ 8(x,y) follows that y) ~ 1. p
Ee
2tri !(Zo+x,)
lxsl+.+anx"y")
=
x,y=I :.:,,==1 P
+tP2(_)
e2i S
We obt,ain obtain the lemma lemma assertion by substituting this estimate into (234). (234).
THEOREM20. 20.Let Let n, rz, THEOREM
Q, (J, Ql be positive integers, integers, even even n n—I fa-I
3 belongs to the the interval int,erval Q Q-a~ tI
n
< Q3, then
q+Ql Q+Qt
L
z=Q4-1 z=Q+l
1 _ _11_._
zit ~
3Q
2 2800n2 28QiOn
~
12 12 and and Ql Q' ~ Q. Q. If If tt
Weyl's sums
124 1
Proof. Choose Choose PP = = [Q3]. [Q3]. Then Then
p2fl+' 2 a2 p2)n+l 1 n+l 2 3 2p2+Qt ( Q ~2Qi +tQ --3< 3Q3 <3Q3 and the the assertion assertionof ofLemma Lemma26 26 may may be bewritten writt,enininthe theform forlD 2
z=Q+1
where
p
L
S= S=
e 2 71"i (O'tXlI+ ••• +anX",R),
z ,y=l :t,,=1
lr,,=
(_1)"-1 /
2ir 21r vq"t-
(v=1,2,...,n) (v=1,2, ... ,n)
1
and q is a certain certain integer integer from from the interval interval (Q, 2Q]. Write the quantities all in the form Write form
(all, q,,)
qf/
= 1,
18,,1 ~ 1,
and use use the the corollary corollaryof ofLemma Lemma 25: 25: 1S121c2
Applying the the trivial trivial estimate estimate under under vv < i and and vu == n, we get Applying n
n(n+1) ( p" ) n(n+l) min pll,..;q; +..;q; = P 22
Q n
11 n n
n(n4-1)
~p
(
min 1,
II ii
n{n+l) , 11 22 n
/ (1 - +..;q;,II) -.
..;q;
2~,,
Let aa = Let
! and Pfi ~ 1.1. Then _11 a a
Since under pv ~
{,8}
1
8
[fl]2' = (.8] + (.8]2' — [/9] — lP] - .8l.8] =
1 161 < 1. I
i ,,_.!!
1 vq; vq; + p~
2irvq"r' 211" vq"t- 1 ~ 21r vQ 3 > 1, 1, ? 27rvQ"3
I
pp PIJ
125
Sums arising arising in in zeta-function zeta-function theory Sums
II, § 16] Ch. 1/,
then then by (239) all =
=
(-1)"-1
(-1)"-1 .
8"
+[21f-vqllt-1]2 - - -'
. = 211" vq"t- 1 = [2'7t' vq"t- 1]
<1,
+
we may choose qy = [2ir and, therefore, under iiv ~ I we q" = [2w vq"t- 1 ] in the equalities equalities (236). (236).
—n II-'!!'
Q ~
1
< qll < 211" v2" Q
3
"n
"
II
3 , 3
1)
n-l (
+ ~~ ~ (~f2+6 + v'2'11"1/2 2 Q2--6- ~Q3 vq; + R
lin) II II (..;q; ++ "p~ < 2
2ft
II H
'
-~,,
v—n+1 v-n+l
Q-6Q 8
JI-n+l
-II
=2
< 22n Q-6-,
2n2
2 n2—2n n -2n
48 Q-48.
.!!.~II
we get from (238) and (237) Now we (237) n n
II. min (Ps', P",..;q; + + fi mm (
,,~1
181 2k' ~ (2k) 2n 22n ' p C'hoose r
= 3nn and a.nd k Ie = =
n(n+1) n(n+l)
plI ) r,r-
v q"
1
2k
4k22
-
2
n2—2n n -2n
2 -Q-48, ~ 22n 'p-2-.
n(n+l)
+ 2k +-2-Nk
n 2 -2n 48 (P)Q-48.
(240)
n(;+1) +nr. n(~+l) 16 + nr. Then by Theorem 16 n(n+l) n(n+1)
n(n+l) n(n+1)
Nk(P) ~ (2k)2k(2n)"1 p2k--2-+e r ~ (2n)3n l p2k--2-+t:,., Nk(P)
where
e r
= n(n-l)(1_!)3R < n 2 -n. (i 2 2
—
n
(241)
40
Therefore, we we obtain from (240) (240) 22
11
n2—n n 2 -n
2 nn2—2n -2n
48 18121:' ~ (2k)2R22M'(2n)3RB pilll + 2k +40 Q-48
1512k2
n 2 -3n
80 ~ (2n )4n p 4k2 Q - 80 . 3
4 Since nn ~ 12, then and 9n 9n4 Since then n2 n 2— <
2n33 2n
3n 3n22
—
1I
k2 p2QlSI ~ (2n) k2 6,40k 2 < 2p2 Q2800n 2 • Q 2800 P2Q 640k2 < 2P2
ISI
arrive at the theorem Substituting this estimate into i.nto (235), (235). we arrive theorem assertion: assertion: q+Ql Q+Qi
L
x=Q+1 z=Q+l
1_ _1 1_._
zit ~ 2Q
22
3Q 2800n2+3Q3 +3Q3<<3Q
2,8,00n
2
1 _ _1_._ 1 3 2800n3 2800n
Weyl's sums s,urns
126
§ §
[ch. II, [Ch. II, §§ 17
17. Incomplete rational sums 17.
f(x) = Let n > 2 and Let and f(x) = a1x alx +... integral coefficients. coefficients. + ... + + anx H be a polynomial with integral Consider Consider the the rational exponential sum P p
f(x) ./(x)
I:e
S(P) =
21r1
— f •
-
:1:=1
If (an,q) = 11 and q = pr, then then under 11 = pr,
~
rr
nn—i -1 the the estimate estimate
~ 1—
IS(P)I
1
log
e3"P
application of the mean mean value value theorem, follows from Theorem 17. Using the repeated application this result can Theorem 19 19 that for can be b·e slightly slightly strengthened. strengthened. So So itit follows follows from from Theorem for aa we have the estimate certain interval of values r we
IS(P)I IS(P)I
~
1-~
cp CP ,.2,
(242)
'Y are absolute absolute constants. canst,ants. where where C and 'y Under an arbitrary arbitrary positive positive integer integer qq the estimate estimate (242) (242) is the best best among among known known ones and no ones no approaches approaches to to the theproblem problem of ofits itsessential essential improvement improvement are are seen seen for for the present. of the the the present. But Butthis thisestimate estimatecan canbe bestrengthened strengthened under under aa special special choice choice of denominator q. Let a Let us us show show how it can be done done under q being equal to aa power power of of·a prime.
be integers,pp> be aa prime, prime, F(a:) F(z) = be positive positive integers, > nn22 be = bob0 + bIZ + + b1x + + box", (F, P] P] be ... + bnx and andTa Ta[F, be the the number number of of solutions solutions of of the congruence congruence LEMMA28.28.Let LetQ,a,n,n, P LEMMA ft
,
F(x) == 0 (mod (mod pO'), p°), H (bo, ... , b,.,p)
= 1 and P
~
x
(243)
0 O~x
a
then the estimate pn, then Ta[F, P] ~ 2nPpTa[F,P]
a 2n
holds.
Proof. At show that that under under PP = ap8 At first first we we shall show ap· with 11 ~ a < and a8
~
0 we have
Q'
Under 8a = 0 this estimate is Under is trivial, trivial, because because a
pn ~ P
= = a
(244)
127 127
Incomplete rational sums In,complete sums
Ch. II, § 17] Ch. a
therefore, napnap 2n and, therefore, 2n > n, but the congruence (mod pal, pa), F(x) == 0 (mod
o0 ~ xx <
has at at most n solutions. has solutions. 1. Write the congruence (243) (243) in the form Let 3s ~ 1.
(modf), F(y + px) == 0 (mod pal, and consider consider the case 1 and
~
(245) (245)
aa ~ n. Passing Passing to to the the congruence congruence to modulus modulus p, we we get
(modp), F(y) == 0 (mod p),
o ~ y < p.
Henceitit isis seen seen that that y in (245) may attain at most Hence (245) may most nn distinct distinct values values and, and, therefore, therefore,
Ta[F,ap] Now we Let us assume we shall apply the the induction. induction. Let assume that the the estimate estimat,e (244) (244) holds holds
under aa cert,ain certain °a a ~ n and all values Q. a. We should should show showthat that the estimation all smaller values is fulfilled fulfilled under under aa + + 11 too. too. Indeed, denote by yi Yl that thatsolution solutionof ofthe thecongruence congruence (245), (245), for which the congruence
has the most number of solutions, solutions, and and determine determine the the p,olynomial polynomialFFi(x) the equality 1 (x) by the
Fi(s) _p-alF(y +px), where pOt pai is the coefficientsof ofthe thepolynomial polynomialF(YI F(yi + the largest largest power power of of p dividing all coefficients + px) Note Note that a1 at ~ n, because becR';1se otherwise otherwise from the equality equality 1
F(yj +pz) F(YI + pz) = = F(yi)+ F(Yl) + P(Yl)PX +... + ... ++ I
n.
F(n)(Yl)pRXn
it would would follow followthat that F(Yl) F(yj) == ... == F(n)(Yl) == 00 (mod and b0 bo _ (mod p) p) and bra == 0 (mod (mo,d P), which contradicts contradicts the hypothesis of Reducing the the the hypothesis of the the lemma. lemma. Reducing congruence
(mod pa+l), F(yi F(1I1 +px) +])X) == 0 (mod pa+l),
0
x
we obtain by pOll, pal, we
(mod Since a1 does not not exceed exceed the the number at ~ n, n, the the number numberof ofsolutions solutions of of this congruence congruence does solution8 of the congruence of solutions
Weyl's WeyI's sums
128
[Ch. [Ch. II, II, §§ 17
Therefore
flTa+i_cri[Fi,ap8_h]
Ta+i[F,ap8]
(246)
0'+1
Using ap8 ap' ~ p --n , we get ap,-l
~
p
a+i 0'+1_ 1
a-I-i—n O'+1-n
= p
n
n
But then by by the the induction induction hypothesis hypothesis 8-1- O'+I-n — 2n 2n
Ta+l_n[F1)aps-1] ~ nap nap3
= nap =
a-I-I 1 8-!a+l 22
2".
the condition condition nn < ...jP, we obtain Substituting this estimate into (246) (246) and using using the a-I-i 1 ._1_ 0'+1
Ta+1[Fl,ap8] Ta+i[Fi,ap8] ~ n 2 ap
2n
2
8-
2n
a-I-I 0'+1
2n 2n.
The proof of the estimate estimat,e (244) (244) is is completed. completed.
The lemma from the estimate lemma assertion assertion for for an arbitrary arbitrary PPfollows follows immediately immediately from estimate (244). Indeed, determine integers integers 8s and a with the help (244). help of the conditions conditions (a - 1) pB Here 88
~
~
P
< ap·.
and 11 < >P
~
a
pn,
then by (244) (244) a
a
a
+ p']p- 2n ~ 2nP p- 2n. integers, I(x) f(x) = = alx 21. Let a1x +... 35, THEOREM 21. Let rr and and be be positive positive integers, + ... ++ anx", n ~ 35, pr ~ qq < pr+ pr+i1 , and T.,(P) 2, p 4n2, p>>4n2 TP(P) be be the number of a ~ 4n 4n 2 be be prime, prime, q = = pa, pO', pr Ta[F, P] ~ Ta[F, apB) ~ nap'- 2n = n[(a -l)p" Q
the congruence congruence solutions of the
f(v)(x)=0 (modpW), Then under under any any rr from from the the int,erval interval22<
Ee
2 .•f(x) / (%) 11"1-,-
~
~ 3P <3P
f
we have the the estima,t,e estimate we have
1-.12 rr2
+nT(P),
a:=1
where constant and and wbere'Y is an absolute absolut,e canst,ant
T(P)= T(P) =
max
2r+3<,,~3r+3
T,,(P).
129
Incomplete In-complete rational rational sums sums
17] Ch. II, 1/, §§ 17] ch.
Proof. Determine an integer a8 with with the the help help of of the the inequality inequality proof. Determine
4(r+1)s 4(r + 1)8
~ a
<4(r+1)(s+1). < 4(r + 1)(8 + 1).
(247)
It is easy to verify that that the thefollowing following estimates hold: 8 ~
fact, if a.9 In fact,
~
(4r+8)>a, (4r + 8) > a,
r+ 1,
r, then then we we arrive arrive at aa contradiction: contradiction:
4n2 4n 2 ~ a
and, therefore, a8
~
s( 4r
<4n2, < 4(r + 1)(8 + 1) ~ 4(r + 1)2 < 4n 2 ,
r ++1. 1. Further, Further, itit isis obvious obvious
+ 8) ~ 4rs + 48 + 4 (r + 1) = 4( r + 1)( s + 1) > a.
a
Finally, P > pr+l ~ p4.B. Finally, In choose p. P1 == a = pS. Then we obtain In· Lemma 19 we choose
LP e p
2 ' f(x) fez)
e
lI'l
q -'1-
1 Pp 1 ~ 2;
p'
L L
P
x=1
. 2 2ir*' /(:1:+,'1/%)
ee
+ + 2p 3B.
p"
lI'l
x=1 y,z=1 2:=1 11.%=1
Denote by M M a set Denote by set of of those those xx from from the the interval interval 11 single congruence congruence of the form single
(modpW),
~
x
2r + 3
~
P, which do not not satisfy P, which do s,atisfy a
~
3r
+ 3.
For the remaining x E [1, [1,P] P] at at least one of of the the congruences congruences isissatisfied satisfiedand, and, therefore, therefore, 3
the number of such such xx does rT(P). Hence, does not exceed exceed rT(P). Hence, observing observing that that p38 p3s
get
P P
1(x)
1
fez) Le 71'1-,2'
3
L
~ 2; )8:1:1 ISxI +rT(P) +2P4, P rEM sEM
x=I :&:=1
where p'
f(x+p'yz) 211'i _/(_:&:_+'_'_11%_) 2,rs paOf
=L e S5>e
Sz
•
p
•
, •.r=1 vIz=1
Since by (247) (247)
f(x ++p8yz) p8 yZ ) == f(x) + + /'(x)psJJz +...
+ +
1
(4 ++7)! (4r 7)!
< < p4', we
4 r+ 7 >(x)(p.t f(4r+?)(x)(psyz)4r+7 1 yz )4r+7
(mod pa), pO),
(248)
_________
WeyPs sums Weyl's
130
[Cl,. /I, [Ch. II, §§ 11
+ 7 we obt,ain obtain n1 = 4r + then setting nl •
L P p
=
e
/f'(x) ( / ' (x) t(R 1 lex) 2,rit -—yz+...+ . - ,.t+... + . ,"1 Z"l )
2'1ri
,0&-'
nll,oc-n1·
y,z=l 11,%=1
f. L..J e p
= =
,"I Z"l)
.'b1 —yz-4-...+—y"z"' 1I.t+... +~
(!.L
21rs( 21fi
'11
e
fn1
y,z=1 "z==1
where b" and qp qlJ are determined by by the the equalities equalities
1 f(")(x)
1
(ii = 1,2,...
Let as show show that that for for the the quantities quantities qu qll the the estimates estimates ps(Sr+3_P)
(2r+3 (2r +3
(249)
are valid. ~
Indeed, since in the sum Sr Sz the the quantity quantity xx belongs belongs to to the the set setM, M,for forevery everyiivfrom froID divisorof ofthe the numbers numbers f"(x) f"(z) interval 2r 2r + 33 < iiII ~ 3r + 3 the greatest common the interval common divisor and pOl pa is less than p [
i] and, therefore,
Hence, observing that Hence, observing a -
811
ii) and i a —- sv SII ~ s (3r + +33—- v)
= 811 + a
-
28V ~ 811
+ 8 (4r + 8) -
2,8 (2r
+ 4) = SV,
we obtain obtain the estimate we estimate (249). (249). Now we shall estimate the 8um sum SXI S,. According According to to the the corollary corollary of of Lemma 25 2,5 Now we shall estimate the ISxI212 ISsl2l:2
2R lp • (U (4k2 -2k+ 2~) Nk,Rl{P·) (2k)21*1p8 ~ {2/e) Nkn (P8) 2
TI
mm (p./I,vq; + min
~).
Since by by (249) (249) under under 2r 2r + + 33 < vII ~ 3r + + 3 we Since we have min
p.lI) p.1I (p./I, vq; +.;q; ~ 2 .;q;'
then applying the trivial trivial estimation estimation under under remaining remaining ii, II, we we get
/ II mm
anj(n,+1)
Si'
+
2'p
2
3r+3
fl
v=2r+4
_i.
(250)
______ 17) Ch. II, S 'h. I 11]
Incomplete rational sums
131 131
By q" > p. (3,-+3-,,) and, therefore, > pS By (249) q1. _1
3r+3
IT lIE
1r+3 3r-f3
22
4
=p
w=2r-f4 ".2r+4
J"=2r+,4
(./. .
_ sr(r-l) sr(r—I)
s(3r+3-,,)
II [Jpp -
qll 2 < qv2<
8r(r—1) 1 ) ar(r-l) snj(ni+I) .." ."1("1+ 8V ).... r - 44 pr.;- ~ 2 p 22 9" ""=1' vyqv this estimate we obt,ain obtain (250), we Substituting thi.s esti.mate into (260),
"I
min
IT...'.
p.", Vf; +
fgf2k' . . . -_1 2 ' . ~~ (.. 41..)2. 1 IG 15
(1"A.
2"
2
'1). ....
T
r'r'—r\ -r)'"
1) ni(ni+1) 11 . "1("1+ 22
+2Ar +
-
-4N (..•). · . ..... k ,M ,p
Now we we shall shall use Theorem Now Theorem 16: 16: N ·If,ttl
.' 8)...
(p'.'
~
(2ft;L).··2.(....2nl.).....••I p
2.'-
snj(nj+l) + 1)
.'RI(RI
.
22
+.~r
6n1 and and rr>> 22 where under under Tr = 6nl
= ni(ni + 1)
A: = nt(n; + 1) + + 6n~ = 2(4,. < 270r2, 270r2 , + 23) < 2(4r + + 7)(13r +
_ nt(nr + 1) (·.·. 1 22
€r -
.1I )'. llRl < ni(ni—1) nl(nt- 1) - n1 < 800 800
<
.:11. 2 20 r ·
Since the estimates Since the
+ 1)(a ~ 3(r + 1)(8 + +1) 1) ra.rs > p 5 )
r,2 - r rr22 1 rr22 r2 — 1 - 4- - - - - > -
20 2k 9' 2021c>9'
4:
take place, place, then using the determination determination of the quantity quantity a, 8, we we get get 2
1512k2 < (4k)2fl1(2k)2k(2 2
< 2p
(r+1)(a.4-1) 225 104r3
Hence the the theorem theorem follows follows P
21d /(-)
Ee .=1
f
2
r(r+1)(a4-1)
< 2—
< 2p
9
by by (248): (248): P
..!.
~r.l~pISlJl+rT(P)+2P4 _ _ _0__
~ 2Pp 2P p • ·10·r'
wherei= where 7 = •. ~O,i •
r2s
!
1_i
l-~
+ rT(P) ++ 2P4 <<3P 3P " ~+ +nT(P), nT(P), +
WejI's sums Weyl's
132
[Ch. II, §§ 17
for apolynomialf(z) = alx+ aix+.... .+anx n the hypotheses C'OROLLARY. Let Letp [~]. If Ifforapolynomialj(x) COROLLARY. fi = [f]. sa,tisfied and under ii 1/ ~ 4r at atleast leastone oneof ofthe thecoefficients coefficients all is not of Theorem 21 21 are satisfied we have the estimate estima,t,e divisible by pfJ, then we
=
=
p
2'
L:e
f(s) lex)
12 1 rpA
pcc
~3n2pl-p,
x=1
where p = = ,min (i, where
;,)
and '1 > > 0 is an an absolute absolut,e constant. constant.
By Theorem Theorem 21 21 Proof. By ~ 3p 3P
e
1-~ 2
r
+ nT(P), +
(251) (2,51)
where
T(P)= T(P) =
max
2r+3
TP(P) T,,(P)
and T,,(P) is the the number number of of solutions solutions of of the the congruence congruence
(mod p[41),
0
•
x
1
P.
(252)
au,.... . . ,, an and deDenote D,enote by by p" the highest highest power power of of pp dividing dividing every every coefficient coefficient a", determine polynomial F,,(x) by the equality F,,(x) == p-~" j''')(x). Since the congruence (252) is equivalent equivalent to the the congruence congruence
F,,(x) == 0
mod p ((mod
[9:] -,9,,) ) 4
l~x~P,
and at least least one one of of the the coefficients co,efficients of the p,olynomial polynomial F II ( x) is not divisible by by p, p, then by by Lemma 28
(~] -fJp T,,(P) ~ 2nPp 2nP p
2(n-II)
[~]-P+l ~ 2nP 2nPpp
2n 2n
But then the estimate T(P)
~
_-9:-
2nPpp 4°fl 2nP 40n
holds and the the corollary corollary follows follows from (251).
~
1-....!..-
2nP 40n 2nP'4°"
a
2nPp4°n.
Doub,/e exponential sums sums Double
Ch. II, §§ 18] 18] ch. II,
133
18. Double exponential sums § 18. In §§ 14 in estimating Weyl's Weyl's sums P
S(P)
= L e21l"i f(s) I(x) =
(253)
e2W1
:c=1
was replaced replaced by by polynomial polynomial I(x f(x + + y) depending polynomial f(x) f(x) = = alX +... polynomial +. . . + + anx n was two variables variables and and the estimation for for the sum (253) was reduced reduced to to the the estimation on two (253) was double exponential sum of double P
P
LL
SS=> = e21r F(x,,) 5=1 y=i %=1 y=l with polynomial
F(x, y) y) + y) == alex al(x + y) +.... .. + an(x + y)". Another particularcase case of of double double exponential exponential sums with polynomial polynomial Another import,ant important particular
F(x,y) F(x, y) = = atxy +... Qnx"y" + OnX'1Y'2 + ... + was considered in §§ 16.
We We shall shall show show that that using using the repeated application of of the the mean mean value value theorem theorem itit is obt,ain ([40], ([40], Appendix II) estimates estimates for for double double exponential sums sums of of aa general general easy to obtain form P1 Pi
S(P S(P1,P2) = 1 ,P2 ) =
P2
L Le
2 '11'iF(x.,),
(254)
x=1 y=i ,=1 z=i
where "1
"2
F(x,y) = L F(x,y)=E
(255)
LQikxiyk.
j=O k=O ;=0
22. Under integers nt, n2, 2'2. Under any any positive positiveint,egers k 1, k2, k2" P1, PI, and andP2 P2 for for the the double double n2, ki, exponential sum sum (254) (254) we we bave have the the estimat,e estimate
THEOREM
p4ki k2—2k1 k2—2k2 4k k2 k ~ (2k2)n2 t k -2k p4ki p 1, p. (2k 2 )"2P!k n4ktk2-2k2N (P1 )Nk2'''2.r2 (D), S(Pi, p2 )1)14k1 (P2)u, Nk1 1 ..&2 kl,nt IS( l
2
I
2
~'
1
0',
(256)
where 1
U=
mm
. mm 1
I
..
II
),
(257)
the summation is extended k1 1,2,...... ,, nl) ni) and the extended over over the the region region IA, I'\jlI << ktP! (j == 1,2, quantities {Jk are determined by the the equalities equalities quantities /3k Al
(3,
= LajkAj j=l
(k=1,2,...,n2). (k = 1,2, . .. ,n2).
(258)
s,urns Weyl's sums
134
cci,. [Ch. II, § 18 18
Proof. Determine D,etermine quantities a1(y) aj(Y) by by means means of of the the equalities equalities R2
Qj(Y)
= L ajkyk
(j=O,1,...,ni) (j =O,l, ... ,nl)
k=O
and write the the polynomial polynomial (255) (255) in the the form form
F(x,y)
+
= Qo(y)+
+ ani(y)xfh.
= Then, obviously, obviously,
IS(Pll P2 )1
p22kt_l k1 - 1 ~ pi <
2k, 2k l
p1 PI
P2
2k l
L L
e 2 11'i (OI(y)%+...+ORI (y)%RI)
I
x=1 j=1 j=l :1;=1
L
p2k1 k1—1 = pi = - 1
. N~;a)(..\l'" .,..\nl) , An1)
~lt""'\Rl
P2
Le
(y)A,,,) 2Wi (01(II)At+...+ 0 "t(II)A"1).
y=1
Using Vsing the equalities (258), (258), we we get
ai(y)Ai + ... al(Y)..\1 + ant (Y)..\Jlt .
=
t, (~ajkyk)..\j
=
~ (t,
=>
k=O
j=1
ajt..\j
)ylI: == Po ++ /3111+. PlY + ..... + P
fl8211fl2 n2y r&2
and, therefore, 2k l IS(P1,P2)12k1 IS(P 1 ,P2)1
~pikl-l
L
N1;d(..\1, ..... ,..\nl)IEe211'i(PIY+,,,+PR2yR2)1 .
>
j=1 j=1
..\1""'..\"1
reasoning as as in in the proof proof of ofLemma Lemma25, 2, we obtain obtain the inequality inequality similar similar to to the Hence reasoning established earlier in Lemmas inequalities est,ablished Lemmas 24 and 25 25 I
S(P1,
k2
p4ki k2 —2k2
where
V= v=
"'"
L-J
..\1""'..\"1
= =
"'" L-J
>
~1""J"n2
N(Pt)( \ kl
2k22 p2 P2 2k \R ) "'" e2 11'i (Ptll+ ••• +,sn2I1R)
1\1 , • • • , I \
l
L-J
,=1
.. II. )e 2 11'i (Pt#Jl +···+.8"21J"2) N(Pt)("x . . ,\) N(P2)(11 '1 1,···, "I k rI"",rn2 2
(259) (2,59)
18] Chi CI,. II, S J8]
135
sums Double exponential slims DouWe
is extended over the region and the summation i.s region
1A11
Pi = LQJkJJk
(j=1,2,...,ni). (j = 1,2, ... ,nl)'
'=1
Since by (258) Ph/Li +
+Pn214n2 =
j=i
k=1
A1
= then
=
A1 +
+
by (159)
" . .:. : . . .'. L.i
N<.Pl)(··. \. . \ )·.·.,e Z1ri (/11IC1+•.. +1I. 2 " . , ) i, Al , · · · , ""I
~l"."~Rl
= =
" . . . .•.> .. '
L..i > Al,...• A.,
N·(P1 )(.·. \ il
.
AI, · • ·
\ ).,. ,62tr,. <'J9~ ~I +···+'~l ,A"1 ~
A"I) ~ 7
0•
Therefore
v= V
L
N1;a)(p"ooOtPw,)
N~:')(llt"ootlRI)e2,"(PI"I+ ...+PR,Il-a,)
A1 ••••• Ant
111.···,11"'2
./ N (.. D)' ~. 112'''2. A2
L
" . •.: .:..' L..,
'I
N'(.P'!.1)(. AI, \ . \ . ).' • · • '''''1
Al •... ,A.. 1
" . . .>........'
L..i
,62.. ;(1'1"1+...+11".11"2)
'"
·
1l1,···.IIR'
Hence using Lemma 1 we we obtain obtain Hence usi.ng V Nk21n2(P2) L N~:')(l.,oootlRI)ijmin(2~P;t ":.11) V~NJr2.R,(P2) uk11) Al1,..., , .... A" 1
" ...... 1
(P1t )Nk2,n,(P2 )o, E; (2k2 (21:2 )fl2 )"1 Nlel ,tit (P )N'I,al(P2)(1,
where the the quantity aq is defined by by the the equality equality (257). (257). SubstJtuti,ng Substituting thi,s this estimate estimate into where (259), we we get get the theorem (259), theorem assertion. assertion.
s,urn,s Weyl's sums
13,6 136
[Ch. [Ch. I!, II, §§ 18 18
==11 +max(nl' +max(ni, n2), n2), P1 PI ~ P2, P2, and wld 0rs arB is is an arbitrary arbitrarycoefficient coefficient of the polynomial F(x,y). F(x, y). If olthe Ilrr and and as are are not not equal equal to to zero, zero, THEOREM 23. 2,3. Let Let n THEOREM
98
a
arB
(a,q)=1, (a,q) = 1, 181 ~ 1,
= -q + 2' q 1 interval P22
1
1
1
-
B--
then quantity qq lies lies in the ~ qq ~ P(P22, P[P2 2, thenfor forthe thesum sumS(P1, S(P1 ,P2) P2) and the quantity determined by the equality equality (254) (2,54) we we have have the estimat,e estimate 11—
IS(Pt,P2)1 C(n)P1P2 I P2 IS(P1,P2)I ~ C(n)P
...,
(nln2)2iog2n I n
(ntr
2)21og2
I
where 'yisis an an absolute absolute constant constant and and C(n) is a constant on n. where"Y constant depending depending only on Proof. Theorem Theorem22 2'2reduces reduces the theestimation estimation of of aa double double exponential exponential sum to to the theestiestimation of the quantity
L
U=
/9kare are determined determined by by the the equalities (2,58). (258). Here we we estimat,e estimate all minima except where f3k for the s-th trivially. Then we obt,ain for s-th trivially. Then we obtain fl2(fl2+1) 2
is a linear . . ,, Ani As,, and, and, in particular, By (258) (258) Pil is linear function function of of the the quantities quantities A1,. AI, ... particular, a linear function of of Ar: Ar :
+ ... +
/3, = Therefore under under ee = we we get get '"
L-J
I~rl
1 4
ft"
• mID
= arsAr + /3.
using the theorem conditions and and the note of theorem conditions of Lemma Lemma 14, 14,
(
D" £2'
1) Izl
-II-II =
L-J
P,
rmD
l
DB .c-2'
1 )
lIa n x + PII
~ !(l + kl;l) (P; +q)'p;' ~ 128nkIP[P:-~' ni(ni+1) Rt(nl+1) U
~ 64n (2k 1 )"1 PI
2
2
fl2(fl2+1)l +1)_!
R2(n 2
P2
2
2
4,
..
(260)
Double Doub,/e exponential expon·ential sums sums
Ch. II, II, § 18] ch.
137 137
1 nt(Rl+1) + k2 = Ti = = [cni nil,], T2 n2], = fl,(ni+i) ] kk1t = [ Ilog Set T2 = = [[cn2 et TI en! og nl cn2 Ilog og n2, 2 - +niri, nt 1'"1 ,k2 = R2(n2+ 2 ) + n21'"2 , + n2r2, S is an absolute constant under we have have the the estimates estimates where c i.s under which which by (194) (194) we
2k,
—
2
2kv—
fl2(fl2+1) 2
C2(n2)P2
Then we get the the theorem theorem assertion assertion from from (256) (2,5,6) and and (260): (260): 4k,k2—1 4ktk2-!
IS(Pi,P2)14k1k2 IS(Pt, P2)1 l 2 ~ 64 n(4k1 k2 )RC1 (nI) C2(n2) ptk 1 k 2 P2 4k k
1~
1-
IS(Pll P2)1 ~ C(n)P P C(n)P1P2 1 2 where where
'Y
..4,l
(njn2)2Iog2n n
(R1R2)21og2
l
= 161c2'
The results results obtained obtained for for double double exponential exponential sums sums are are without withoutdifficulty difficulty extended extended to a case arbitrary multiplicity multiplicity m: m: case of Weyl's sums of an arbitrary Pi PI
Pm
S(P1,·· ,Pm) S(Pi,.. , Pm ) -- "L.J ... "L.J
Zmi
xl=1
where
e21ri F(Xl,. •• ,:I:",) '
X'm=l
F(xi,. is a polynomial of m variables F( Xl, ••• , x m ) is nl
F(Xl""'X m )
=L
Rm
... E a(vl, ... ,vm)z~l ... X~.
vt=O "1=0
pm=O ,,",=0
Let m ~ 2, PI ~ ... ~ Pm, n = 1 +max(nt, ,nm ), and a = a(rt, ofthe the polynomial polynomialF(z!, F(xi,. . ,,x m ). If the product arbitrary coefficient coefficient of product r1 rt a
6
a=-+q q2'
(a,q)=1, (a,q) = 1,
181
~ 1,
and the quantity qq lies in the interval
-
prrn-I
have the estimate then we have 1-
D S(pI,· • · ,.c-m
I
)1 '*'" CP1 ••• Pm-l Pm ~
I"Y (nl ... n m)21og m n
,
,rm ) is an r m =F 0, rm
.
138 138
Weyl', Weyl's sums
[CIt. II. II. I 18 [Ch. 18
rn, respectively. A where C and '1 are constants COJ1S't,ants depending on n and m, this A proof of thj8 estimate is obt,ained obtained with rn-fold applicatIon application of of the the mean mean eB,timate wit,h the the help help of of the the successive successive m-fold value t,heorem theorem and and in its value it,s nature nature isi,s close close to to the the proof proof of of the the analogous analogous estimate esti.mate for for double sums, which was presented in Theorem 23. double Another approach to the based on on aa multidimensional multidimensional t,he estimation estimationof of multiple sums is based generalization of of the mean value theorem (1]. (1]. Thi.s This approach allowed to to strengthen gener'aliz,at,ion value theorem approach allowed from Theorem Theorem 22. 22. The The strongest estimates of the sum estimates, estimates, which which follow follow from of mulmultiple exponential exponential sums sums are are obt,ained obtained in in the article [41]. tiple [41]. In the the last last years years numerous numerous publications deal with multiple sums, publicat,ions 8wnS,~ but interesting interesting applications a.pplications are are known known only for double sums arising in estimating ordinary Weyl's sums. estlmating ordi.nary Weyl's double
CHAPTER CHAPTER III FRACTIONAL FRACTIONAL PARTS PARTS DISTRIBUTION, NORMAL NUMBERS, NORMAL A,N'D QUA,DRATU'RE FORMULAS FORMU'LAS AND QUADRATURE
19. Uniform distribution of fractional § 19. fractional parts The notion of of uniform uniform distribution in in aa general general form form was was introduced introduced by by H. H. Weyl Weyl [49]. He [49]. He obtained also also fundamental fundament,al results results concerning concerning functions, functions, whose whose fractional parts are uniformly uniformly distributed. p,arts of x. x. Let us Let a function function f(x) I(x)be bedefined defined for for positive positive integral values values of us consider consider a sequence sequence of of its its fractional fractional part,s parts (2,61) (261) {f(1)}, ...,, {/(P)}, {f(P)}, .,. .. {fell}, {f(2)}, {f(2)}, ... satisfy the inequality Denote by by Np(,) Np(7) the number of xx (x (x = 1,2, 1,2,.. Denote number of .... ,P), , P), which satisfy .
{/(x)} < 1, <7,
where 1'y isis an an arbitrary arbitrary number where nwnber from the interval interval (0,1]. (0,1]. sequence (261) is called uniformly distribut,ed, The sequence distributed, if lim pI Np('Y) = 'Y.
P-+oo
(262)
fractional parts parts of of aa function function I( f(x) distributed, then then this function function is is If fractional x) are are uniformly uniformly distributed, said to be uniformly uniformly distributed too. too. Rewrite the relation relation (262) (262) in the the form form
Np(7) = 'yP + o(P).
(26,3) (263)
The shows that that for for uniformly uniformlydistributed distributed functions functionsunder underan an arbitrary arbitrary (2'63) shows T'he equality (263) 7 E (0, 1] the the number number of of these these fractional fractional part,s parts among among the the first first P from "1 (0,1] from the the sequence sequence (2,61), (261), which whichfallon fall on the the interval interval [0,1), [0,7), isis asymptotically asymptoticallyproportional proportionalto to the the length length of the the int,erval. interval. If 00 < <71 1, then thenthe thenumber number fractional parts, which of 11 <72 < 12 ~ 1, ofof fractional parts, which fall fail equal to Np('yi) and by by (263), (263),evidently, evidently, also on the interval interval [71,72), [,1,12), is equal toNp('y2) Np('Y2)— - Np("11).and is is also asymptotically proportional to to the the length length of of this thisinterval: interval: Np('y2) Np('y1) N p (12) — - Np(71)
(72 -11)P — 'yi)P + o(P). = (72 =
parts dis,tribution distribution Fractional parts
140
[Ch. Ill, III, §§19 19 [Ch.
for example, example, the the function function I(x) f(x) = -IX and show Let us consider, for show that its fractional fractional parts are uniformly uniformly distributed. In Infact, fact, denote denote by by Tk(7) Tk(1) the the number nwnber of of satisfaction8 satisfactions when x runs through integers of the 1, when integers from the the interval interval k2 k2 ~ ax <
n
I:Tlcb') ~ Np('Y) < I:TIc(7), Tk(7)
Np('y) <
k=1
k=l
and, therefore, and, n-l
I:
+ O( yIP). Np('y) N p(1) = Tk(1) + = E Tk(l')
(264) (264)
k=1
under xa = kk22 + Since, obviously, obviously, kk = = [-IX], then under Since, + y we obtain
{-IX}
= v'k 2
+Y -
k=
Y 2k + 1
•
~, k+.1k2+y' k + k2 +y
~ {v'X} ~
o ~ y ~ 2k,
:k'
But then 2k'y n-l
n(n -1)~ ~ —
1)'y, I: Tk(1) ~ (n(n2 -I)" 2
—
k=1 n-l
LTk(-r)
= I'P + 0(v'P),
k=l
and by (264) (2'64)
Np(7) N p (1)
'yP++O(v'P). o(fP). = IP
{-IX} are uniformly unifonnly disdistributed. monotonic functions functions I(x) f(x) satisfying In the same way it is is easy to investigate other monotonic s,atisfying the condition lim I(x) = o. by the definition, Hence it follows follows by definition, that fractional fractional parts
2:-+00
X
the function function :cO za In particular, a < 11 fractional parts of the particular, it can be shown shownthat that under under 00 <<.v uniformly distributed, distributed, but fractional parts of are uniformly of the function function logo logll xa are distributed uniformly or not, depending on whether whether p /3> uniformly or depending on > 1 or $p ~ 1. The investigation investigation of of functions functions growing growing as polynomials polynomials and especially especially functions functions growing faster faster is So, for for example, example, itit is not not known known whether whether growing is much much more more difficult. difficult. So, X fractional parts part,s of ofthe thefunctions functionseX e:t and (~) 2: or of the functions (t;)) x under n > 1, 1,
141 141
Uniform distribution distribution of Uniform of fractional fra,ct;onal parts
19] Ch. 1/1, Ill, § 19] Ch.
and coprime coprime m m and and nn are uniformly uniformlydistributed. distributed. At At the the same same time time itit is easy easy m > n, and m> to present present nontrivial examples of exponential functions, whose whose fractional fractional parts parts are to exponential functions, uniformly distributed. distributed. not uniformly Indeed, let A and and 8Ube beroot,s rootsof ofthe the quadratic quadratic equation equation Z2 z2+ +pz + qq = 0, with integral pz + Indeed, coefficients,such such thatAA> >1 1and and0 0<<88<< 11 (it (it is so, for instance, instance, under under pp = = -3 coefficients, —3 that so, for Since the symmetric function A5 + 95 takes on integral values and q = 1). Since the AS + 6'~ takes on positive values and q = 1,2,..., under xx = 1, Therefore fractional fractional parts parts of the function A:a: under 2, ... , then {A5} {A ~} = 11— - (Jx. Therefore grow, approaching approaching unity, unity, and, and, evidently, evidently, are arenot not uniformly uniformly distributed. distributed. monotonically grow, We will will consider consider aa general general criterion for for uniform uniform distribution, connecting We connecting problems problems of distribution distribution of fractional fractional parts with of with estimations estimations of of exponential sums. Let
if
1
If e ~ x < 'Y - e,
e
1Pl (x) =
o ~ x < e,
-x 1
- (1- x) e 0
if 'Y - e ~ x < 1, if 1 ~ x < 1, (265)
1 11
tP2(X)
=
-(r+ e - x ) e 0
1
- (x E
+ e -1)
if o ~x <1, if 1 ~ x < i+ e , if 1 +e ~ x < 1- c, if 1- e ~ a; < 1.
LEMMA2'9. 29. Let t/J( x) be the characteristic of the the int,erval interval [0, [0,7). Denote by LEMMA charact,eristic function function of 'Y). Denote Cj(m) Cl(m) and C2(m) C 2 (m) the the Fourier Fourier coefficients coefficients of the functions functions tPt(x) and 1P2(X). Then the rela,tions relations th'e
"pt (x) ~ t/J(x) ~ tP2(X) (0 ~ x ~ 1), Cl(O) = 1 - e, C2 (0) = 'Y + e,
max (IC1(m)I, 1G2(m)I) IC2 (m)1)
~ mm min (_11I' m
--iT) 1f'm e
~
if if 0 ~ x if if 'Y ~ x
1["
(266)
(m = = ±1, ±2,...) ±I,±2, ...)
hold. b'old.
Proof. Since Since
tP(a:) ' ={
< 1, < 1,
directly from from the the determination determination of the functions the first of the relations relations (266) (266) follows follows directly functions tPl(X) and and *2(X). 1P2(x).
Fra,etlan,al Fractional parts parts distribution
142
(CI,. III, (Ch. Ill, §§ 19
Further, obviously,
C1(0)
..,-£
e
1
II
= jt/J1(x)dx=;jxdx+ j dx-; jb-X)dx o
0
-,-e
£
e = +7— = -e2 + l' - 2e 2e + -=y— = l' - e. 2 we get Analogously we 1
C2(O)=J1P2(x)dx C 2 (0) = j t/J2(x)dx o the second assertion of the the lemma lemma is is proved. proved. Finally, Finally, under m ~ 0 we have
=')'+Cl
=
Ci(m) = 1
ej
+—
I
+
rntdx =
—
m(y—e)
1 —
j
/
j
27rzme
0
•1—8
Hence, since
e
j
2rims ]e_2lnimxdx etb;
o
~ min (c 'lI"1~1)' ?timI l
0
./1
it follows follows that that
IC1 (m)1 ~ min (""11ml' ,.
_1_) ir m 6 1
1r 2 m 2 e'
In the same a,arne way way we we obtain the estimate estimate 1C2(m)I
.11
"un —,
1
\
ir2m2 6/
the lemma is proved proved completely. complet,ely.
TifEOREM24 24(the (theWeyl Weylcriterion). criterion). THEOREM
A necessary necess,ary and sufficient sufficient condition for uniform uniform
distribution of a function function f(x) is 1 p . lim m/(z) = = 00 litn - >i: e2 "'t mf(z) R-+oo P
L
x=1
for for any integer m
~ O. 0.
(267)
Uniform distribution Uniform d;s,trib,ution of offractional fractional parts parts
19] Chi ch. 1/1, § § 19)
143
function of of the the interval interval [0, [0,7) Let 00<<7'Y < 1, t/J(:e) be the characteristic characteristic function 'Y) and proof. Let (x) and tP2(:c) be determined determined by by the the equalities equalities (2:65). (265). Then, Then, evidently the {unctioI18 functions tPl(Z) p
Np(7) = = L?/J({f(x)}). Np(7)
(268)
~=1
$ince by the lemma Since by
1Pl({f(x)}) ~ 1P({f(x)}) ~ t/J2({!(x)}), then, carrying out the then, the summation summation over over x, x, by by (268) (2:68) we we get p
p
-
-
Np(7) -1 - 7P 'yP. P ~ LtP2({!(x)}) P. P ~ Np('Y) LtP1({!(Z)}) >2 ({f(x)}) -77P >2 ({f(x)}) -1
c=1
(269)
:1:==1
Let us us suggest suggestthat that the condition (267) isiss,atisfied. satisfied.Choose ChoosePF> Let condition (2'67) > P0(e) Po(e) in such a way way that under under nn = [~] [fl + 1 the estimate that
=
p
max
1 <m:S;;n 2
L e >2
mi(s) 2"; m/(z)
~ ""=
:&:=1
'If
4(1+2logn) 4(1 + 2 log n)
eP
(270) (2'70)
would be satisfied. satisfied. Then, using would be using the the expansion expansion of the function function "pI (({f(x)}) {f($ ) }) into into the the Fourier series, we we obtain
7—€+ m==-oo
p
00
P
-eP+ L' Cl(m)L — P = =— eP LtPl({f(z)}) Ci(m) >2 e2 I1'im / (z) >2 ({f(x)}) -1 z=l
m=-oo
:1:=1
n2
~eP+ L ' ICl(m)1 eP +>2' ICi(rn)I
z=1
m=-n2
+ L ICi(m)I IC1(m)1 + >2 Iml>n mI>n22
p Le21riml(z)
p
Le21rim/e:t)
z1 z=l
=
(the sign' sign'ininthe in = 0). (the thesmn sumindicates indicatesthe thedeletion deletion of of the the summand summand with with m 0). Hence Hence applying the estimate estimate (270) (2'70) under underJmI Iml ~ nn22 and the trivial trivial one one under under mu Iml > n2, n 2 , by applying virtue of the lemma we get virtue p
({f(x)}) — Lth({f(z)})--yP
z=1 te=l
?r
,,2
€P + 4(1 + 2 log n) eP L ~eP+ >2 4(1 + 2log n)
I
m:=-n2
2P cP + 1r2 n 2 e <2eP. ~ eP + 2 < 2eP. 2 1T27226 1
1
+P 'lflml+
00
L. Iml>n
1
>2.2 'lf2 ir2rn2e m 2e
1m1>n2
Fractional parts parts d;s,tribution distribution Fra'ctional
144
[cIi. [Ch. Ill, III, § 19
In the same s,ame way the estimate p
:E1/J2({!(x)}) -"P ~ 2eP 2:=1
is obtained. But But then thenititfollows follows from from (269) (269) that —2eP -2eP
Np(7) — 7P ~ ~ Np('1) -1P
2eP
and, because ee can can be be as assmall smallas aswe we please, please, we we get 1
hm pI Np(-y) Np(7) lim
P—.oo
p~oo
= 7.
The sufficiency of the condition condition (267) (267) is is proved. proved. Now we shall shall prove provethe the necessity necessityofofthat thatcondition. condition.Indeed, Indeed,let letthe the function function1(3:) f(s) Now we be uniformly uniformly distributed. Take rn 0 and choose an integer q> Denote Take m i= choose an integer q > Iml. by Mk M" a set of those those x:c from from the theinterval interval[1, [1, P], P], which which satisfy s,atisfy
k+11 . ~qk— ~ {!(x)} {f(x)} < < Ie + q
((271) 271)
Denote by Tk Tk the number number of of satisfactions s,atisfactions of this inequality. inequality. Then, Then, obviously, obviously, q-1 ,-1
P
:E e2 ,..i m/(x) =:E :E e2 11'i m/(%) • k0 xEM, x=l k=O from (271) (271) that for It follows follows from for xx EE Mk Mk
{fez)}
= ~q + 6qz
I
Using Lemma 26, 26, we we obt,ain obtain Using
(mk m'. )
.mk ++2irO(k) 2'1r6(k)
2ftim!(z) = :E e2ftl. f +-,- = :E e2fl f ~ e62,rimf(x) =>
zEM"
xEM. XEMk
:cEM,
I 18
~ ~ xEM. zEA4
qq
27r1m1 fT1 2"'1~"q + =Tke 9(k)Tk, + 2wlml 9'(k)fT1 .Lk e ' .Lk, q
_
-
q
1. But then where 19'(k») l9'(k)I ~ 1. p
:E e27fi m/(x) =
+
2irImI
z=1
(272) (272)
Cit. Ill. III, Ch.
I 19J J 9]
145 146
Uniform Un,/form distribution distTibu'tion of of fractional 'rac.tional parts pa"ts
Since hypothesi,s fractional fractional parts of the function function f(x) /(3:) are areuniformly uniformly disdi. Since by by the hypothesis tributed, then 1 Til = -P+o{P). q
Take an an arbitrary arbitrary ee > 0 and choose such that that under under tJ.q = Take choose PP > P0(e) Po(e) such estimate
IJml < pi
+11 the [4-t"'1] + the
Tt - ! ~ .!EP Tk--P 2q q9 29 1
1
will and therefore there£Ol-e will hold. hold. Observing Observing that that 11 , jmJ
(1
nih
=0, we we obtain obtain 9'-1
9- 1
.t
L: Tt e21Fi ,
=
!PL:e21rl , ++(Th L: (Tt -- !P)e2tri f q
.=:0
.. 1:
,-1
. . ""
q
k=:O
1,=,0
~ ~ITk - !pl ~ ~EP. 2 q
',=:0
q
k=O
4tr!",I, we obt,ain equality (267) (267) from (272): (272): obtain the equality
But then. > then, because because of ofqq> p
2
L.,~
"
'.'
iii.
_/(_)
s=1
/'
:
IP
lim Urn P
2,rImI 1 p. +-q-.··~e, 27rlml p p
~2t
L: e ,
2n·
-/c-) = O• =0.
• '=1
The theorem theorem is is proved proved completely. completely. As an example of an an appHcat,ioD application of the Weyl Weyl criterion criterion we weshall shallshow showthat that fractional fractional As parts of a linear function func'bon (273) f(x)=ax+fl J(%) = as + P
uniformly distributed distributed under an irrational are uniformly irratlonal a and an arbitrary fi. p. Indeed, integer.. Using Using Lemma Lemma 1, I, we we get Indeed, let m ~ 0 be an integer. p
L: e .'=1
Therefore
2rri
-e os+ /I) =
2lIamII)
pP 1 l... ".V' . . . . . . . e2 "1 -(os+J'> ~ 1 < L., ~ 211 P .'=1 amilP , P 2IIormIIP'
F,.,etiona,1 Fractional parts parts di5,t,ilJution distribution
146
[Ch. [Ch. Ill, III, 11.
p
! "c1Fi a(cra+P) P-*oo PP L..., lim urn
P--+,oo
= = 01
x=1 z'=1
and by virtue virtue of of the the Weyl Weyl criterion fractional parts p,uts of of the function (273) are uniformly distributed. Now we we shall shall consider consider aa question question concerning concerningthe the di,stributlon distribution of fractional parts Now part. of of a polynomial of an arbitrary arbitrary degree degree n ~ 1:
f(s) = 1(:1:) = ao + + 0,,:J:-. + (lt Z +... + ... + condition of ofuniform uniformdistribution distribution of of fr'&c,tional fractional parts At first we shall prove a sufficient sufficient condition i8 due due to van der which is der Corput Corput[71. [7].
f(s) be of aa func:tion functionI(s) f(s) with 6/(:a:) beaafinite tinit,edifference difference of with step B't,ep h: h:
LEMMA30. 30. Let L,EMMA
It
A 1(:1:) A
= I(x + h) -fez).
Then under any from tne the int,erval interval [l,P] [1,P] we have tbe the estima,te estimate .Then &OJ' P1 P t Unm we have p
E,e P
2
2 " '('" / ft'i ($) 2P ",PPl-l
~
.=1
I(A
"
1: e
2wi A h
P
+2P11 +, max +2P
lea) )
It
,',','"',', •
.'=1
Proof. By (196)
p
p
p1-i
<
and, therefore" 22 , "
P
Ee
e251 2ri
l(z)
t:;;;
P p
~E
11 x=1 .'=1
x=1 .=1
22
Pt-l
1:
f(s+p) e2ri 1(-+1)
+ 2Pl· + 2P?
(274) (2'74)
p:O y=O
Since, obviously, Since"
pP
1\-1
E E e >
2 • 1 /(.+,)
z=11 s':
y=0 ,=:0
22
P,-1
E;;
P e
E Ee
2wi (/(s+II)-/(z+%»
.'z=1= = P PI + = PA°l + 2E E e ",'-='0
1
p
2tri (/(_+,)-1(_+...»
.=1
y>Z ,>* z=1
,
(275) (275)
147
offractional fra,etional parts (M,rts Uniform distribution of
Ch. 11/, §§ 19] 19] ch. ill,
observing that t,hen observing then pP e2 11'i (/(s+1J)-/(X+.r»
L >
z+P
= =
:1:=1
~
L
x=x+1 :.:=%+1
2z + 2z+
P
Le
21ri (/(2:+11-%)-/(:1:»
,
x=1
we obtain from from (275) (275) we p Plpa-i1
L L
x=1 z==1
2 2
~P PI PP1
e21ri /(2:+,)
p P
+ PIS + 2 L
yO 71=0
L e ,..i 2
(/(:':+II- z )-/(x»
y>z x=1 ,>% z=l
~ P PI
+ pt + P~
p
2'11'; A I(z)
L Lee
max
l~h
h
•
:1:=1
get the assertion of the lemma: Substituting this estimate into (274), (274), we we get 2 pp P 2 P 2,..i ti./(.:) ~ e 2 ,..i I(x) ~ 2p 2 p-l +2PP1 + 2PP + 2P max ~ e h + 2p2 ~
L....,
:.:=1
1
l~k
1
~ 2P( PP t + 2P l-
1
+
L....,
1
x=1
max Ite
2fri
l~h
~/(z) ) .
25. of uniform uniformdistribution distributionof ofaa function function f(x) f(c) is 25. A A sufficient sufficient condition condition of uniform distribution of f(x) under uniform of its its finite finit,e difference difference f1f(x) under any any integer int,eger h ~ 1.
THEOREM THEoREM
Il
Proof. Let fractional parts parts {6. f(z)} Let according according to to the the hypothesis hypothesis of the theorem fractional f (x)} be h
uniformly uniformly distributed distributed under any positive integer k. k. Then by the Weyl Weyl criterion under every integer integer m 1= 0 every P 2irim.Af(x) 1 p 2,..imti./(z) 1 lim -— ~ e h = O. (276) =0. P—400 P-+oo P P L...J z=1
Apply the the inequality of Lemma Lemma30 30 toto the the function function mf(x). mf(x). Then Apply inequality of Then observing observing that we obt,ain obtain 6.mf(:r;) = = m6.f(x) we It
h
P
P
L..
:1:==1
2
e
2 im 21'
1 f(s)
(
P
P
+2P1 ~ 2P(PPII 2P PP1- + 2P1 + max 1
L..
1 ~1a
e
2,..imA I. I(z) ) h
•
(277)
2:=1
G Let 00 <<ee << 11 and followsfrom from(276) (276)that that PP2 = P2(e, m) can can be Let and Pi PI = + 1. If follows P2 (e,m) 2 = = [e,] + chosen in such such aa way waythat that under under P ~ max(P max(Pi,t ,P2) P2) the chosen in the inequality inequality
max
l~h
P 2irimAf(z) 2,..imAf(z) ~e II " <—e2P L...J :1:=1 x=1
6
Fractional parts distribution
148
[CI,. III, [Ch. 19 Ill, §§ 19
P2). Then we s:atisfied. Choose Choose P we get from from (277) (277) will be satisfied. P ~ max (9'P1 ,P2). p
2: e
2
27ri m!Cs)
p p) = e2p2,
~ 2P(~e2P + + ~e2 + + ~e2
= e2P2
:1:=1
P
2: e
2 '11"1m/(x)
~
eP,
:.:=1
and, therefore, therefore,
11
p
.
lim e2 71" mf(x) m/(x) = o. urn - "'"' 52,ni = o. P-+oo P > L.J P—too x=1 z=1
The theorem theorem is is proved proved by by virtue virtue of of the the Weyl Weyl criterion. criterion.
THEOREM2626(Weyl's (Weyl'stheorem). theorem). THEOREM
I(x)
If If aa polynomial polynomial
= eto + alx +... + anx
R
(278)
has at a,t least least one one non non constant canst,ant term t,erm with with an anirrational irrationalcoefficient, coefficient, then its its fractional fl·actional parts are are uniformly uniformly distributed. distribut,ed.
Proof. We We shall shall start startwith witha acase casewhen whenthe thecoefficient coefficient of the highest highest degree degree term t,erm is is (278) isis in in reality reality aa linear function function iro a0 + irrational. Under irrational. Under nn = 11 the polynomial (278) +a1z ata: with an irrational a1. By with irrational coefficient coefficient aIBy (273) (273) fractional fractional parts of of such such linear linear functions functions are uniformly uniformly distributed. distributed. Apply induction. Let n ~ 2 and the are Apply induction. the theorem theorem be hie proved proved 1, having an irrational ofdegree degreenn— -1, i.rrational coefficient coefficient of the highest degrçe deg~.e for polynomials polynomialsof term. Choose an arbitrary arbitrarypositive positive integer integer hh and andconsider consider the the finite finite difference difference term. Choose
+...+cri[(x+h)—x]. Evidently,
~
f(s) isisaapolynomial I(x) polynomialof ofthe the(n—1)-th (n-l)-th degree degree with an an irrational irrationalcoefficient coefficient
h
of the highest highest degree degree term. term. By Bythe theinduction induction hypothesis, hypothesis, fractional fractional parts part,s of of this this then by Theorem 25 fractional of polynomial are uniformly distributed. But by Theorem 2,5 fractional parts of polynomial uniformly also. Thus the the initial polynomial polynomial are uniformly unifonnly distributed also. the theorem theorem is is proved proved for the leading leadingcoefficient coefficient being irrationaL irrational. polynomials with the Now leading of the anda8asbebethethe leadingamong amongirrational irrationalcoefficients coefficients of Now let 11 ~ 8s <
/(x) = ft(x) + Ip(x) , f(x)=fi(x)+ q
where11li(s) a0 +ai z-f. where (x) = aO+al X+_ .. ..+a8x8 +aa x8 and fP(x) is a polynomial with integral integral coefficients. coefficient,s. Choose an an arbitrary integer m ~ 0 and determine an integer PI P1 from from the condition Choose Piq
P < (P1 + 1)q.
20) Ch. Ill, III, §I 20]
Uniform dis,trilHJtioo distribution of Unifonn of functions (unctions systems s,Vs'lem's
149 149
Then, setting xs = Then, =yJJ ++qz, qz, we we obtain
Ee Pt ,
f Pl-l . ",.,('+9.1') 1 =E E e2..'(..... ",ft(p+,z)+ ,q ..
Pt—i
q
2tri _/(te)
=>2 >2
,=
s';:1
1 .-=:0
P1—i 2 ' "'fP(,) 1\ -1
= Le = IIq
tr1
Ee
.
2lrt m/t
,
pI
(w+,.) .
.=:0
Since the coefficient of the highest power power z of the the polynomial polynomial /1 (JI (y + + qz) is is irrat.ional, irrational, fractional parts parts of 11 f'(y fr'actional (y++qz) qz)are areuniformly uniformly distributed di.stributed and and by by the theWeyl Weyl criterion criterion Pj -1 Pl-l
E e: >
hri -/(,+,,,) mf(y+qz)
= = o(Pl
)•
.1":=:0
But then P P
Ee >2
• '==: 1
2n mi(s) "'!(II)
Pt—i1 f . m¥(,) Pt-
= >2 E/ =
g21T1 'fl
-,-
F 1
E >2 e
2 11'i"'/1(,1+'.)
+ O(q) = o(P). = o(P). + 0(q)
.=:0
Hence, applying applying the Weyl criterion again, we get the theorem Hence, we get theorem assertion. assertion. § 2:0. Uni,form distribution distribution of offunctions functions systems syst,ems 20. Uniform and completely complet,ely uniform o,niform distribution
Let s8 ~ 1 be a fixed fixed positive positive integer, 71"" ,7. be arbitrary positive positive numbers not exceeding and/1(:1:), li(s), .•• f5(x) be be functions functionsdefined defined positive integral values exceeding 1,1,and forfor positive integral values z. x. . . . ,,1.(%) Denote by by N Np(71,. .. ,, 'Y.) the number Denote P(7l' ... number of satisfactions sati,sfaetions of the system of of inequalities inequalities
{fi(x)}
x=1,2,...,P. :a:=1,2•... ,P. {f.(x)} <7, A system of functions functions fl(:C)'.'. fi(x),. .. ,1.(3:) ,f,(x) is called distributed in the A syst.em of called uniformly uniformly dis,tribut,ed the ssdimensional unit cube" cube, if dimensional unit lim or, what is jus't just the or) the same, same,
Np(71,... ,
= 7i •
.73
Fractional parts parts distribution Fractional
15,0 150
[C/i. 111, [Ch. III, §§ 20
It is is easily easily seen seen that under under 38 = 11 this definition definition is identical with the the definition definition of of uniform distribution distribution introduced uniform introduced in in the thepreceding preceding section. section. Let m1,. . . , m3 be arbitrary ml, ... arbitrary integers integers not all all zero. zero. In In the the same same way, way, as in the the proof proof of Theorem 24, it can can be be shown shown that thataanecessary necess,ary and andsufficient s'ufficient condition condition of of uniform uniform system of of functions functions11fi(x),.. , f8(x) is distribution of aa system (x), .... ,I.(x)
,rn.
=
(279)
0.
criterion of Weyl, This equality, representing representing the the multidimensional multidimensional criterion Weyl, reduces reduces the ininvestigation of of the uniformity system to estimations unifonnity of distribution of functions functions system estimations of of vestigation corresponding exponential correS'ponding exponential sums. sums. Using the multidimensional Weyl, it is easy to show show that that aa necessary multidimensionalcriterion criterionof ofWeyl, neces:sary and and sufficient condition condition of of uniform uniform distribution distribution of aa system of functions functions fj (x), .... . . ,,I.(x) sufficient is uniform uniform distribution of the function is
'1
F(z) = mifi(x) + ... + m8f8(x)
(280)
. . ,m. for any integers m1,. ml, ... not all zero. zero. , Indeed, if fractional fractional parts parts of the function ~ Indeed, function F(x) are are uniformly uniformly distributed, distributed, then under any integer in m #: 0 the equality equality
p
Le
2 ,..i mF(z) mF(x)
= = o(P)
x=1
holds. under m m = 11 it follows holds. Hence Hence under follows that p
Le
p
2 11'i (mt!t(x)+...+m,/,(z»
=L
~=l
e21ri F(:,;) = o(P), = o(P),
z=l
functions 11 fi (x), and by the the multidimensional multidimensionalcriterion criterionof ofWeyl Weyl the system of functions uniformly distributed. distribtited. On (x), is uniformly On the the other other hand, hand, ifif aa system system of of functions Ii fl(x), uniformly distributed in the unit cube, cube, then by (279) is uniformly the 3-dimensional s-dimensional unit
, f8 /8 (x) ,I,,(x) f3(x) ,
. . . , . . .
p
L
e211'i(mt/l(~)+ ••• +m,I,(~»
= o(P). o(P). =
(281)
2:=1
Choose an an arbitrary integer in Choose m =F 0 and replace replace mil by mm ll (v (v = 1,2,... 1,2, ... ,s) ,s) in in the the equality we obt,ain equality (281). (281). Then we obtain p
Le ~=1
p
271'imF(z)
271'i(mm = (:r: l+.. o+mm,I.(x» = =o(P). o(P). = Le >C21ri(mmlfl(z)+...+mm$f$(x)) l / 1
z=1
151 151
Uniform distribution of Uniform offunctions func-tions systems system,s
Ch, III, § 20] Ch.
Henceitit follows followsby bythe theWeyl Weylcriterion, criterion,that thatfractional fractionalparts partsofofthe thefunction functionF(x) F(x) are are Hence uniformly distributed. distributed. The uniformly Theproperty property(280) (280)isisproved provedcompletely. completely. Let us show that that aa system Let systemof oflinear linear functions functions
fi(x)=aix,...,f,(x)=a8x /l(x)=al x , ... ,f.(x)=a.x
(282)
is unifonnly uniformly distributed distributed in the is the s-dimensional s-dimensional unit cube cube under under certain certain requirements requirement,s for the the quantities quantitiesat, at,...... , as. a5. for independent. Then under , a88 be linearly Indeed, numbers 1, 1, aI, linearly independent. under any any Iudeed, let let the numbers a1,...... ,a integersml, m1,... m8 not all integers ... ,,rna all zero zero aa linearly linearly combination combination m1 mt al +. +.... . ++ mBa m8a8S cannot be equal to to an integer. Therefore, equal Therefore, by by Lemma Lemma 1 p
LE e 11'i(m 2
t / t (:r:)+ ...+m,I,(z»
z=1
p
=
L
=
%=1
e21ri(mtat+ ..r+m,a,)z 1 1
=o(P) 2l1 m l(l1 +... + ma(lsll = o(P) +... +msasII 2lImiai functions (282) is uniformly uniformly distributed distributed by by the Weyl criterion. and the system of functions (28'2) is Weyl criterion. independent. Then there exist Now let the the numbers 1,aI, ai,.... a8 be not linearly Now let numbers 1, linearly independent. exist .. , a. integers ml, m1,. . . ,,rn8+i integers m 8 +1 not all all zero zero such that that rn1a1 ml£rl +... m 8 a. = ms+l. Therefore, Therefore, +... ++m8a, = m8+i. under ml, m1,... , m3 under m. satisfying this equality we we get ~
p
p
Le271'i(mt/t(z)+...+m",(z»
= Le211'i(mlat+ ... +m.a,)~ =
z=1
x=1 P
= Le21fim ,+1:r; = P. p = z=l
a8x and the the system system of offunctions functionsatX, a1 x,... But then the the condition condition (279) (279) is not satisfied satisfied and ... ,,asx is not uniformly distributed. Thus is uniformly di.stributed. Thus the thesystem systemof oflinear linear functions functions (282) (282) is is uniformly unifonnly distributed in the s-dimensional unit cube cube ifif and and only only ifif the the numbers numbers 1, 1,aI, a1,.. distributed s-dimensional unit .... , a8 as are linearly independent.
THEoREM 27.Let Letj(x) f(x) = = Qo a0 + THEOREM 27. polynomial with with irrational + atX +... + G'nxR be a polynomial coefficient.The Thesystem systemoffunctions of functionsj(x f(x+ + 1),. 1),..t., + s) is unifonnly leading coefficient. uniformly or not . , f(x + uniformly distribut,ed distributed in in the s-dimensional unit cube cube depending depending on on whether whether 8s ~ n or uniformly s-dimensional unit fl. 3> n. 8> Proof. Proof Let us consider the function t
mif(x + = ml/(x + mB/(x m8f(x + + s), + 1) 1)+.. +... + F(x) = 8), where mt, mj,.... . m5 are arc integers not all formula, we we obt,ain obtain where , m. all zero. Using Using Taylor's formula, t
.
f(x
+ v) =
t ~, j=O
j(j)(x)v j I
J.
" n 1 " fW(x) L vimllt F(x) = = L mll/(x ,n,,f(x ++ii) F(x) v) = = L 1- /(j)(x)
v=1 ,,=1
j=O
J.
11==1 v=1
(283)
Fractional Fra,ct;on.al parts distribution
152 152
determi.nant Since the determinant
11 11
2
1 1
2'-1
11
•.. •..
[Cli. [Ch. Ill, III, § 20
1
1
s
8
8,-1
is not equal to zero, zero, at at least least one one of of sums sums a
(j=O,1,...,s—1) (j = 0,1, ... ,8 - 1)
(284)
does not vanish vanish (otherwise (otherwise the the system system of of s8 linear linear homogeneous homogeneous equations
"
LlIjmll
=0,1, ... ,8 - 1) = ° (j(j=O,1,...,s—1)
11=1
m8 == 00 only, would contradict contradict the would have only, which which would would havethe the zero zerosolution solutionml ml== ... ... = rn, choice of the the quantities quantities m1,. choice of ml,' .. ,ma). ,m,). which the sum (284) does . D'enote least value of j, under which doe:s not equal equal zero: zero: Denote by by ti the least s
LlIimll =0
(0
~j
< t),
11=1 B
Lvtmll
(285)
=\ = A ~ o.
11':=1
Substituting these Substituting these equalities equalities into into (283), (283), we we get
= F(x)
=
(286)
j=t+1
1/=1
Hence it is seen that the the highest highest degree degree term t,erm of of the polynomial polynomial F(x) coincides coincides with the highest degree degree term term of of the the polynomial polynomial
j(t)(, ) = Ct \ n-l +... + \ t!;\ lW(s) x = nl\QnX +···+
AQt·
then under s ~ nn the function is a nonzero F(s) is Since;\ nonzero integer and and 2t ~ s3 -— 1, then function F(x) A is 2 1 with the irrational leading coefficient. But a polynomial of of degree degree nn— - t ~ 1 with the leading coefficient. But then fractional part,s parts {F(x)} are 26, and, and, therefore, therefore, the fractional are uniformly uniformly distributed by Theorem 26,
153
Uniform distrib,ution 0.(functions function:s systems sys:tems distribution of
Ch. 1/1, §§ 20] Ch. III,
+s) isis uniformly f(x+s) uniformly distributed distributed in in the the 8-dimensional a-dimensional system of functions functions f(x+l), f(x + 1),.... ,, f(x unit cube. + 1. with step step being unity: Let flOW now 83 == n + 1. Consider Consider consecutive consecutive finite differences differences with Let . .
+ 1) = = f(x + f(x + + 2)— - I(x +2) + 1), ~(2) I(x + 3)— - 2f(x + 1), + 2) 2) + + I(x f(x ++ 1), + 1) = f(x ++3) 6(1) f(x
6(n) f(x
+ 1) = fez + n + 1) -
C~f(x
+ n) +... ± C:f(x + 1).
Since transition to aa finite Since transition finite difference difference reduces reduces the degree degree of of aa polynomial polynomial by by unity, unity, 1) isis aapolynomial polynomialof ofdegree degreenn— - 1, 6.(2) f(:t + 1) is a polynomial polynomial of + 1) then 6(1) f(x + degree - 2 and, and, finally, finally, t:..(n) f(x + +1) is a constant. constant. Therefore, Therefore, with degree nn— mIl
= (-I)"C:- 1
(v == 1,2, 1,2,... (v ... ,n+ ,n+1) 1)
we we obtain obtain p
p
Le
2 11'i (ml!(x+1)+ ...+mn+l!(x+n+l»
=
x=1
Le
2 • i .6.(R)/(s+!)
= P. p
x=1
But then by by virtue virtueof ofthe themultidimensional multidimensional criterion criterion of of Weyl Weyl the system of of functions not uniformly distributed in in the s-dimensional unit cube + 1),. 1), .... ,, f(x + s) is not uniformly distributed s-dimensional unit f(x + + 8) + 1 (and, underany anyss >> n too). under (and, therefore, therefore, under too). The Thetheorem theorem isis proved proved under ss = n + completely. By Theorem 27 there 1(x) such By Theorem 27 there exist exist functions functions f(x) such that the the system 5yst,em of offunctions functions + s) under f(x + . . . ,f(x , f(x + + 1), ... under s, 8, which which does does not not exceed exceed a certain cert,ain bound, bound, is is uniformly unifonnly distributed in theorem itit is is shown shown tha,t that in the the 8-dimensional s-dimensional unit cube. In In the the following following theorem there exist functions for which the restriction restriction on on the magnitude of ss may be lifted. which the lifted. A A function f(x) f(x) isiscalled calledcompletely complet,ely uniformly uniformly distributed, clistribut,ed, if for any any ss ~ 1 the system of functions f(x+1),...,f(x+s) (287) f(x+1), ... ,f(x+8) .
is uniformly distributed in the s-dimensional unit cube. is unifonnly distributed s-dimensional unit cube. ItIt follows follows from from (280) (280) that tha,t aa function f( x) isis completely completely uniformly unifonnly distributed function 1(x) distributed if and only if under every s ~ 11 and any choice of integers integers ml, m1,.. , m8 not all zero the function choice of .... ,m.
F(x)=mif(x+1)+...+m8f(x+s) F(x) = ml/(x + 1) + ... + m,f(x + s) is uniformly uniformly distributed. is
THEOREM 28.Under Underany anyQ'a >> 44 aa function THEOREM 28. function f(x) determined determined by by the the series series 00
f(x) f(x) =
Lek=o
is completely complet,ely uniformly distributed. distribut,ed.
kQ k
x
(288)
Fra'ctional parts distribution Fractional
154
[Ch. Ill, III, § 20 20
not all all zero zero and and the function function F( F(x) Proof. Let be arbitrary integers integers not x) be be , Let ml,' m1,..... ,m. determined (288). Under 11 with determined by by the equality (288). n ~ 28 2s we we determine determine Q(x) Q(x) and and R(x) with the help of the equalities equalities n
Q(x) Q(x) =
00
L
k
L
R(x) ==
ltkX ,
k0 k==O
k ukx ,
k=n+l k=n+1
her, let Further, where uk ak = e-k . Furt Q
Qg(X) Qs(x) = miQ(x mlQ(x + +a), s), niaQ(x + + 1) + + .. . + + nlsQ(x 118(x) = R.(aJ) =
miR(x m,R(x + s). a). m1R(x + 1) 1) + + ... + + msR(x
evidently, /(x) f(x) = Q(x) + + R(x) and Then, evidently,
F(x) = ml(Q(x mi(Q(x + + 1) + R(x ... R(x++ 1») 1))++... R(x++s»)a))= =Q.(x) Q3(x) + + m.(Q(x ++s)s)++R(x +R3(x). Rs{x). + m8(Q(x in order to prove By virtue of of the the multidimensional multidimensional criterion crit,erion of Weyl Weyl in prove the the theorem theorem to show show that that under any positive integer integer sa the the estimate suffices to any fixed fixed positive it suftlces p
Le
F(s) 2 11'i F(z)
= o(P)
x=1
satisfied. Using is s,atisfled. Using Lemma Lemma 26, 2:6, we get p
Le
F(x) = =
21ti F(z)
p
Le >
2 11'i (Q.(x)+R.(:r:»
(Q.(x)+R.(x))1
x=1 p
:1:=1
~
Le
P
27riQ
,(x)
+ 21f +
LIRIR3(x)l. (x)l· s
x=1
z=l
first we shall estimate the magnitude At first magnitude of p
R ==
L IR.(x)l· x=1
Determine nn from the condition D'etermine condition
n"1
log P < (n + 1)°'
(289)
(h. III, III, §I 20] 20] Ch.
15,5 155
systems Uniform Uniform distribution of offunctions functions sys'fem'.
and choose choose PP in such such a8, way way that the the inequality inequality nn >> max(4ms, max (4m3, 2,0+1), where m= = maxl(.,(a jmvI, Im"l, isi.s satisfied. s,.ti.med,. Then we we obtain obt,ain P
•
R= R= E
•
EImyI>R(x+P) .'Elm"IER(z+lI) .1
Em"R(3:+v) ~
.=1 v1 11==1 x1
R.
p
,,=I
x=1 1:,:::=1 P
00
~s'mER(:J:+8)=8'm .:=1
:E
e- k*:E(:r;+8)" .
',=:_+1
.,=1
Hence, because because of Hence, 1 ~ (z + (% +s+ + IJ + 1)k+l - (x (% ++3)k+1 s)k+l < (P + s + 1)k+ )k ~ ~ (x + s)k
. p
LJ .=1
~LJ
k+l
.=1
follows that it follows that
R
sm ~ 8m
00
k+l'
_II"
.
i)k+1 (P ++.., 8 + 1)k+ :E : + 1 (P k=n+1
1
(290) (2,90)
•
i=M+l
Since by the determination det.ermi.nation of of n
P = pa
>
then we get for the the ratio ratioof ofsuccessive s'uccessive terms of of the t,he series series (290) (290)
(' + l)e-(k+l)Gt(P + 8 + l)k+l i)k . (k + + 2)e-'·(P + + ss + + 1).
P +8 + 1 P+s+1
< eok.. - I
P+8+1 P+ 8+ 1 P +., + 1 < 11
and, therefore, therefore"
R ~( R
00
28'm . P+s+l
= n+2e(.. ( +1).. -1 )••• =
(1)1_i J-I
8+ n72 n-f 2 e-a<..+l)"(p + s + 1)"+2 ~ . ~ . ( ..
Jz l
_+1 n+1
(P+s+1) (P+s+l)
P+8+1).·+1 P 4(P+8+11t1P0(p) . - - . = o(P).
< 48'm (
P
.'
n+2
Now we we shall shall estimate estimate t,he the sum p
= SS =
Ee • ,=1
)....
2wiQ .(s).
. (291)
Fractional parts distribution
156
as above, above, m m = maxl("(8 Let, as ties (285). tiea (28~). Then
tm.,r.
a1j el
[Ch. {Cit. III,
I
20
= e- J* and and t be determined by the equalidetermined by
Q(k) (v)xk
Q1(x) = EmwQ(5 + v) =
=
where fi
=
= b'=l
,?=i
Since, obviously, Si.nce"
t
ci; ( C:
j'==Ic+'+l
t
c' ~
J/J-It m .).·.·.·. e-j"
)
v=I . . . ~1
m8 e-(HHl)'"
I: C1H
sJ
j==.+l 1=1+1 < m(2s)"e-(k+'+1)* ,
1) we we obt,ain obtain cert,ai.n 0k 9, (I0kl (18,.1 < 1) then under a certain
vtm) p" == Cf+'(~J/'mlf)e-(H')" +9tt m(2s)"e- Ct+C+1)"' +
= + Skm(2s)"e-Ck+t+l)* = ~04,e-(k+')" +
(2,9'2) (292)
t
where by (285) 11 ~ IAI lAI ~ m,s·. Determine + 1 and choose D,etermine r by by the the equality equality rr = = [tl + choose Iek == r. Since 0 ~ t and n > > max(4ma, max(4:m,8,2a+1), 2,(1'+1),then thenwe wehave have the the estimates es'timates
(r + t +
> (r +
+ a(r +
> (r + <
s, aex >> 4, 4. < a,
+
1
by (292) (2,9'2) and by 5—(r+t)
< i9r <
(2,9,3) (293)
157
Uniform distribution distribution of offunctions fun,etionssystems systems
Ch. ci'. III, § 20]
Then, obviously, Choose qq = [,8;1]. Then, obviously,13r Pr may be written in the the form form 1
(J
Pr = -q + -2 q '
181 ~ 1.
(294) (2'94)
show that that Let us show ~
p
q
~
pr-l.
(295) (2'95)
In fact, since a
a
n) < [i]n +3) < (~n)a 1+ (i+sY~ 1+
<
a
<
-
1
(r — 1) log P, ~(r-1)logP,
then, using the the inequality inequality (293), (2'93), we we get get q
~ (3;:1 < /+(\2~+·r/ ~ pr-1.
On the other other hand, hand, from from the theevident evident inequalities inequalities (s'n)-S p >
n°' > 82n,
log P
Sn .tR)3 > > 2,
~
3
( s'n
+ 1)0' > 2tNn (n + 1)a-l >>2logP (n+1)°> 2 log P
n ( -2-
by (2'93) (293) that that it follows follows by I
q
f n+l)OI (
> /3;1 - 1 > (sn)-Se -2-
-1
> (sn)-S p2 -1 > 2P -1
~ P.
The relations (294) and (295) (295) show show that for the sum p
5S =
Le
p
2 71'i Q.(x)
= =
x=1
Le
21ri (,80+,812:+... +P,.zR)
:1:=1
the estimate obtained obtained in in Theorem Theorem 18 18 may may be be applied: applied: 3n lSI I SI ~ e p
Sinceaa >>44 and n a Since
1
1 1—.
1 2
24n2 log log n • 24n
++1)0'-1, then 1)°', then
~ log log PP < < (n (n —
1 1
2 3Jl P 24n 24n21og n ee3"P )'08 R
R
Q-'
-24 log fan < e3n-24 log
-+
0,
and, therefore, as P —, ..... co, 00, and, therefore, SS = o(P). But Butthen thenby by(289) (289) and and (291) (2'91) we we obtain the estimate p
Le
21ri F(x)
F(x)
1;=1
equivalent to to the theorem assertion. equivalent assertion.
~
181 ++ 2irIRI 21rIRI = o(P)
Fractional parts parts dis,tribution distribution Fra,ctional
158
[Ch. /II, §§ 20 20 [Ch. Ill,
distributed, then under Note. If aa function 1(x) f(3:) isis completely completely uniformly uniformly distributed, under any any choice choice positive integers integers tI and and rr the system of functions of positive
f(tx+l),...,f(tx+r) f(tx + 1), ... ,/(ta: + r)
(2'96) (296)
uniformly distributed distributed in the r-dimensional is uniformly is r-dimensional unit cube. be arbitrary integers not all Indeed, let let ml, m1,... Indeed, ... ,m all zero. To To prove prove uniform distri, m,. r be bution of the the system system of of functions functions (296) (2',96) by the multidimensional multidi.mensional criterion of of Weyl it sufficestoto show showthat that the sum suffices p
S=
Le
F(tx) , 21fi F(t:c)
= :1:=1 mrf(s ++r), where F(s) = = mtf(x mif(x + where F(z) r),has hasaanontrivial nontrivial estimate estimat,e S = o(P). + 1) + + ... ... + + mrf(x Using Lemma Lemma 2, 2, we we obtain obtain Using 8S ==
Le tP
F(z)6(5) 211'i F(:I:)c5 (x)
,
x=1 :1:=1
181 ~
~
==
1 tEE e21l'1
talzl
t
ax)
.( ,
F(:I:)+, ,
a1 x=1 8=1 z=1
-Ee211'i
a=1
tP
(F(x)+?) (F(:I:)+";) .
(297) (297)
%=1
= F(z) F(s) Determine a function function Fe(s) F.(z) by by the the equality equality F.(x) = 6. Fa (x) its its finite finite difference difference with step h: h:
+ at?
and denote by by
h
6F.(x) h
= F.(x + h) -
F.(x) = F(x
+ h) -
F(x)
ah + -. t
The difference F(xx ++h)h)— difference F( - F(s) F( x) is, obviously, obviously, aa linear combination combination of of consecutive consecutive
values of the the function function /(:1:): f(s): values of
F(x + h) m1 (f(x + F(a; + h) -— F(s) F(x) = = m1 +11++h) h) — - f(x /(x + 1») 1))+... +...
+mr(f(x+r+h)—f(x+r)) + mr(f(x + r + h) - f(x + r») = m~f(x + 1) +... + m~+h/(x + r + h), where rn'1,. . . ,,m~+h are integers not all all zero. zero. Hence, becausethe the function function f(f(s) mi, ... integers not Hence, because x) is is completely uniformly uniformly di.stributed, distributed, by (288) F(xx + (288) the function F( +h) h) — - F(s) F( x) is uniformly distributed. At differsfrom fromF(x+h)-F(x) F(x+h)—F(s) Atthe thesame s;ame time time the the function 6. Fe(s), Fa(x), which which differs di.stributed. h
by an additive constant only, distributed 88 as well. well. But But then by Theorem only, is uniformly uniformly distributed 25 25 the function F5(s) F.(x) is is uniformly uniformly distributed too. too. Therefore, Therefore, under any a from the interval 11 ~ a ~ It we have i,nterval
Ee tP
2:=1
Z,"It) = Ee
2. (F()+
11'1
tP
=. :1:=1
2 11'iFe (z)
= o(P), = o(P),
159
Normal Normal and and conjunctly conjunctlynormal normalnumbers numb,.:rs
Ch, Ill, III, §§ 21] 21] ch.
and itit follows from (2'97) (297) that follows from t
181 <~ ~ >L
ISI
tP
Le
2 'lri F.(",)
= o(P). o(P).
a=i &=1 z=i z=l
assertion (296) (296) is is proved. proved. The assertion
§ 21. 21. Normal Normal and and conjunctly conjunctly normal normal numbers numb,ers be an an arbitrary arbitrary number number from the interval (0, 1). Let Let Let qq ~ 2 be an integer and a be by means means of of its it,s q-adic q-adic expansion expansion us write a by a = 0·1t 12 · · ·1t:
(298) (2'98)
• • • •
Denot,e number of of satisfactions of the equality . . . On) the number Denote by N(P)(Ol ... 1:1:+1 .. · 1:r:+n
(x=0,1,...,P—1), (x = 0,1, ... , P - 1),
= 01 · .• On
(299) (2'9'9)
1]and and the the equality equality (299) where Si 01 ••• arbitraryfixed fixedblock blockof ofdigits digits8,, 011 EE [0, [0, q— q-1] (2'9'9) 5,, is an arbitrary where . . . On considered as equality of of integers integers written writt,en by by means means of of their their q-adic q-adic expansion. expansion. is considered as the equality is equal, equal, evidently, evidently, to to the number of the As in §§ 8, 8, N(P)(OI .. ....8,,) on) is number of occurrences occurrences of As length n among first P blocks given block 01 ... On among the first blocks 8,, of digits of length . .
.
11 .,. 1 n , 12" ·1n +l' ... , 1p·· · "YP+n-l
digits of of the the q-adic q-adic expansion expansion (2'98) (298) for for a. a. formed by successive successive digits The number aa isiscalled called normal normal to to the thebase baseq,q, ififfor for any any fixed fixed nn equality the asymptotic equality N (P)( 01 •.• On )
~
under PP 1 under
00 -+ 00
= -qR1 p + o( P)
holds.
The theory theory of of normal normal numbers nwnbers isis closely closely connect,ed connected with problems of uniform uniform distriaq5. The general lemma lemma bution of fractional parts parts of of exponential functions functions aqx. The following following general about uniform distribution of of fractional fractionalpart,s partsofofan anarbitrary arbitraryfunction functionf(x) f(s) lies at about uniform distribution the foundation of this this connection. connection.
integers ml < LEMMA LEMMA31. 31.IfIfthere there exists exists an an infinit,e infinite sequence sequence of of positive int,egers <m2 m2 <<...< ... < in,, -— 11 the that under m,,n < ... BUch such tha,t m under every every n ~ 11 and any integer int,eger IIv with 0 ~ IIii ~ fin number T,.. Til of of sa,tisfactions satisfactions of the inequality
°
..!!...- ~ {I(x)} < v + 1 rn n
mn
(x = 1,2, ... ,P) (x=1,2,...,P)
s,a,tisnes satisfies
T"
= _1 P + o(P) m,, rn
(300) (300)
n
as P oo, then then fractional fractional parts parts of the the function function f( f(s) x) are are uniformly uniformly distributed. P ~ 00,
[Ch. [Ch. Ill, III, §§ 21 21
Fractional parts distribution
160 160
p (f3) the (0, 1] and and denote denote by by N Np($) arbitrary f3 f3 E (0,1] the number number of of fractional fractional Proof. Choose an arbitrary = 1,2, ... ,,P) the interval int,erval [0, [0, (i). Determine an an integer integer bb 1,2,... P) falling into the parts {f(x)} (x = help of of inequalities inequalities with the help
Then, obviously, Then, obviously,
Using the condition (300), (300), we we obtain Using
b b) 6-1 . .TII=-P+o(P), ( rnA. = E
Np - .
11=0
Np
fin
b+1) ~ = b+1 = L...J . Til = --. P+o(P) ( -m-n. =ET,, 11=0 rn n
arid, therefore, 8qd,
(~. -
—
13)P + o(P) p)p +
~ Np(fi) Np({3)— - (3P ~
INp(P)-{3p) ~ INP(13) —
C:"I —
/9)P + + o(P), (3)p O(P),
1
P + o(P). -P+o(P). mn
given. Choose n0 = no(e) Now let an arbitrarily Now let arbitrarily small small e > 0 be given. Choose no no(€) so that for n the inequality < t is satisfied. s,atisfied. Then, Then, evidently, evidently,
n:
~ no
R
+ o(P). INp({3) - ppi ~ ~P + o{P). lNp(fl) — we obt,ain obtain Po = = PaCe) Hence Hence under under P ~ Po Po(e) we — 13PJ
and, therefore, lim pI N p({3) = P, limINP(f3)=/9,
p-+oo
which is lemma assertion. assertion. is identical with the lemma
THEOREM2'9.29.AAnum,ber numberaaisisnormal normalto to the the base base qq ifif and and only only ifif fractional fractional parts parts THEOREM the function cxqZ aq~ are are uniformly uniformly mstribut,ed. distributed.
of
Ch. Ch. Ill, III, §§ 21] 21]
Normal and conjunctly conjunctly normal norm,al numbers numbers
with 0 proof. Choose Choose an an arbitrary arbitrary block block 01 .•.• . . On of digits witll Proof. an integer uv with the the help help of of the the equality equality
161 ~
Dj
~
qq-l —1and and determine determine
0.01 . · . DR = - . 0.8i...6n. q" V
Let under a certain cert,ain xx the the equality equality
=
. . .
(301)
5,,
be fulfilled. fulfilled. Then (0
~ 8:1:
< 1),
and, therefore, the inequality inequality
v+1
v./{ aq :&:}}< -::::::
(302)
holds. holds. It isis also also easy e88'Y to to verify verify that that this this inequality inequality implies implies the equality equality (301). (301). But But then the inequality (302) = 0, 1,...... ,P , P— (302) and equation (301) (301) under x = 0, 1, -11 have the same . . 8,,). fractional part,s parts of the function number of solutions being equal to N(P>( 61 .••• On). If fractional are uniformly distributed,then thenunder underxx = = 0,1,. . . ,, P -— 11 for for the number aql: are uniformly distributed, 0,1, ... number of satisfactions of the the inequality inequality (302) (302) we we get ) = -P+o(P) 1 P + o(P) N (P)( 61 •. "On . .6,,) = qfl
(303)
and, by definition, definition, a is is aa normal normal number. number.
Now let aa be Now let be aa normal normal number number to to the the base base q. q. Then Then for for any any n and and any any block block 01 .••.6,, On the the equality equality (303) (303) holds, holds, and, .and, therefore, therefore, under under every every integer v (0 (0 ~ v < q) the number Tv of sati.sfactions satisfactions of the inequality < v, /{{aq'} aq :t}
-~
is asymptotically equal to f}Q P: 1 T,, = -P+o(P). Til
= qR
Hence itit follows followsby byLemma Lemma31 31that that fractional fractional parts parts of the function aq:l: aq5 are Hence are uniformly uniformly distributed. The Thetheorem theoremisisproved proved completely. completely.
Fractional parts distribution
162 THEOREM
30. Let Let qq 30.
~
[Chi Ill, III, §§21 21 [Ch.
number aa determined 2 be an integer. int,eger. Every EVelY number det,ermined by by the the equality equality
f: [\ql,
=
a
k=l
q
1,2,...) are fractional fractionalparts parts arbitrary completely where fJ9k (k == 1,2, ... ) are ofof anan arbitrary complet,e1y = {f(k)} (k k = uniformly distribut,ed distributed function, uniformly function, is normal to the base base q. distribution under under any any fixed fixed ss the the Proof. By By the thedefinition definition of ofcompletely completely uniform uniform distribution system of functions f(x+1),...,f(x+s) f(x+l), ... ,f(x+s) (304) is uniformly uniformly distributed distributed in the s-dimensional unit cube. cube. We split up every edge edge of of the the is cube into into q equal parts and, all the cube into q8 small cubes cubes with with the cube and, respectively, respectively, all q' small volume ,1,. Then we enwneratc enumerate the obtained obt,ained small small cubes, considering the number
= 6lp'l -,- 6211q s-2 +... + 6"", 1I1 q,-1 +
v 1/—
where hK., ... ,!u. are coordinates coordinates of of the the small small cube cube vertex vertex closest closest to to the origin, as its seria! numbe~. Evidently, Evidently, in this this process process the quantity i'v takes t,akes on on every every integral integral serial number.
q8— - 1. value from 00 totoq8 from uniform uniform distribution distribution of of the the system system of of functions functions (304), (304), that that under It follows follows from = 0, . . ,P — xx = 0, 1,. 1, ... - 11 the number nwnbcr N,, Nil of of simultaneous simult,aneous fulfilment fulfilment of inequalities 6. 8.
--1!!- ~
q
6. + 1 6.+1
{/(x + i)l < _J"_ {f(x+i)} <
satisfies the sati8fles the relation
q
(j=1,2,...,s) (j=1,2, ... ,s)
1
N,, Nil = - P + o(P). q8 p +
(305)
(306)
inequalities (305) (305) are are satisfied satisfied by by those those and only those Since {f(x ++ij)} Since )}= = 8x +j, the inequalities x (0 ~ x ~ P - 1), for which 6,,,. [6,,+lQ] = 661,,,..., 111 " •• , [fJx+sq] = 6.".
(307)
By virtue of the theorem By theorem condition condition
= [(Jz+1q) + ... + [6z+.tq] + .!. ~ [(Jz+.t+~l {aqZ} = + q8 + Q4 L" q qk q
q
= [8 z+1q]qa-l +... + ... + + [8 z+sq]
=
qB q8
= 61llq a-l Hence it is seen that under under jiII = the inequality II ./ { +-1 -~ aq X}
I:~l
8
+ -q8
q
( (0 <98 < 1). 0< 1).
+ ... + Til of fulfilments fulfilment,s of the number number T,, + 66k,,the 811
(x=0,1,...,P—1) (x=O,1, ... ,P-1)
(308)
16,3 163
Normal and conjunctly conjun,etly normal normal numbers numbers
Ch. 21) Ch. III, Ill, §§ 21]
coincides coincides with with the number of satisfactions satisfactions of of the the equalities equalities (307) (307) and therefore cocoSince in in the inequalities (308) vv may may take take on on any any value from the inequalities (308) value from i.ncides incides with Nil' Since interval 0 ~ vii ~ qS -— 1, 8s is an arbitrary arbitrary positive positive integer and by by (306) (306) 1 N,, = -P+o(P), T,, = Nil Til q8
31 may may be be applied. Lemma 31 applied. By By the the lemma lemma assertion assertion fractional fractional parts of the the then Lemma function aq1J aqx are uniformly distributed, and and therefore thereforeaa is is a normal function uniformly distributed, normal number number to the base q. q. The The proof proof is is completed. completed. Note. By completely uniformly uniformly distributed distributed function By Theorem Theorem30 30 under underany anychoice choice of a completely function number a given f(x), a number given by the series series 1(x), [{f(k)}q]
a=
(309)
qk
k=I
is normal. ItItcan canbe heshown shown[39] [39] that, that,conversely, conversely, every normal number to to the thebase baseqq is the sum of the series (309), where {f(k)} are fractional parts of (309), where of a certain cert,ain completely completely uniformly distributed function. function. Thus a number Qa is unifonnly distributed is normal normal to the the base base qq if if and and only only if digit,s it,s q-adic q-adic expansion digits of its
satisfy the equality (x == 1,2, 1,2,.. f(x) isi.s aacompletely equality "Y x = [{f(x)}q] (x .. .), ,), where I(x) completely uniuniformly distributed function. formly function. The notion for a case The notion of aa normal normal number number is is naturally naturally generalized generalized for case of of several several numbers. as,..... . , as a9 given by their expansions to the bases numbers. We We consider consider numbers numbers at, given by expansions to bases respectively: , q9, ql) • • • ,qlH qi,. . . a1
. .
.
(310) -=
Q8-
P7(8) 0 .1(8) ···1 (s) . . 1 k •••
(p) (v) ... Let 6'~") 6~") (or shortly shortly 6. fixed blocks . blocks of of nn digit,s digits with with respect respect to s,,) 11 ) be arbitrary fixed q,, (ll (v = 1,2, 1,2,.... ,,8). 3). Denote . the base q., Denote by N(P)(6. I , ... ,, ~8) the number number of of fulfilments fulfilment,s of the system system of of equalities equalities .
.
. .
.
(1)
.
.
(1)
_= c(l)
. "Yx +l ·..· "x+n -
VI
..
c'(I)
• • • (}n ,
(a)
(a)
=
x
= 0, 1, ... ,P -
1,
a)
considered as equalities of integers written written in in the thescales scalesof ofq,,, qll' respectively. respectively.
(311)
[Ch. III, Ill, §§ 21 [Ch. 21
Fractional parts parts distribution Fractional
164
are called called conjunctly conjunctly normal normal (to (to the bases ql, ... as,.... . . ), as Numbers at, a3 are . . ,qa), , q8), if under asymptotic equality any choice choice of ~1,"" any 6.. the . . . , 1
. . .
,
= q1...q3 p + o(P)
holds. Thus, Thus, the the numbers numbersat, ai,... a3 are conjunctly normal, if under any choice holds. ... ,,as conjunctly normal, choice of , a) every of qi ... digits 6~") (j = = 1,2,.. possible distinct blocks = 1, digit,s 1, 2, 1) 2, .... ,s) blocks 2,.... . . ,,n, n, vii = .. . q' possible digits of digit,s 6'~1) ••• 6~1) .
q:
•
.
—
5(8) ".(s) • • 5(8) c(a) VI ••• (}n
occurs among the blocks blocks ~(1)
1"\(1)
'2:+1 ... 'x+n (x
~(.)
= 0,1, ... ),
1(a)
':1:+1 • •• x+n
formed by successive digits of of the expansions (310) with with asymptotically equal freformed successive digit,s expansions (310) frequency. 29, itit is to show that the numbers the same same way way as in in Theorem Theorem 29, is easy easy to show that numbers quency. In the , a3 are conjunctly ai, ... ,cr" conjunctly normal normal if if and and only only if if the the system system of of functions •
,a3q
(312)
is uniformly uniformly distributed in in the the s-dimensional s-dimensional unit unit cube. cube. A connection connection between between conjunctly conjunctly normal numbers and completely complet,ely uniformly uniformly disdistributed functions generalizing Theorem Theorem 30.. tributed functions is is established est,ablished in i.n the thefollowing following theorem generalizing
THEOREM 31. Let Let ql, qi,.... integersgl-ea,ter greaterthan thanunity unityand andI(f(x) be an an arbitrary arbitrary THEOREM 31. ,qa x) be . , q3 be int,egers completely uniformly distribut,ecl distributed function. function. Then Thennumbers numbersQl, a1,..•••. ,, a8, determined completely uniformly det,ermined by the equalities ~ _ ~ [{f(sk + +v)}q,,] v)}qll] (v = 1,2,.... . ,,s), a), (v=1,2, (313) a,, U,II = L....J k .
a.,
.
k=l k=1
qll
are conjunctly normal.
Proof. We We determine determine quantities ~r") by the the equalities equalities
f(sx+s+1), /(8X+8+1), ... ...,, !(sx+s+n,s). f(sx+s+ns).
Ch. 1/1, §§ 21] Ch. III, 211
165 165
Norm,sl and conjunctly conjun,etly nofmal normal numbers numbers Normal
"i")
are integers Obviously, int.egers from from the theinterval interval[0, [0,q,,q"— - 1]. Therefore, the series series (313) (313) of the the numbers numbers Q", a.,, and we may write instead may be considered as qll-adic expansion of of (313):
a1 =
.
.
' '1 ··.7(8)
- 00.7(8) (8) a8 = as -
. .
(s)
"k
•••
(ii)
. Let 6~") ... arbitrary fixed blocks blocks of digits base qy, gil, &id, and, . . . 6~") 8,,(xi) be arbitrary fixed digits with with respect respect to the base number of of fulfilments fulfilment,s of the as in (311), N(P) (~1,"" the system of equalities . . , ~s) be the number
(1)
(1)
— 5(1) ~·(1)
1a;+l,·,ia;+n=vl 7x+i"7x+n 1
c(l)
",u ••• ixn
x
= 0, 1, ... ,P -1.
(314)
(a) (a) — 5(8) '"V(s) '"V(a) - 6(s) 8(8) , z+1 • •• I :r:+» 11 • •• nix
The equalities (314) are, evidently, evidently, equivalent equivalent to the equalities equalities (xi)
1/
— —
(xi)
'
7x+n
— £(V) —
x=0,1,...,P—1. X = 0, 1, ... ,P - 1.
= 1,2, ... ,8,
Using the determination determination of the quantities 1~") , we rewrite these equalities in the the form form
[{f(sx + S
+ II) }q,,]
= 6~")
[{f(sx+n,s+II)}q,,] =6~)
11=1,2, ,8, x=0,1,...,P—1. X = 0,1, ,P -1.
In turn turn these these equalities equalities are are equivalent equivalent to to the the system system of of inequalities inequalities
+i II
i
x
= 1,2, = 0, 1,
,8, ,P - 1.
(315)
Thus N(P) (~1" .... ,,&,) A ..) is i.s equal to the the number number of of solutions of the system (315), (315), i.e., Le., to the number nmnber of of fractional parts part,s of of the the system system of of functions functions
f(sx + +s+1),..., /(83: 8 + 1), , .. , f(3x+3+ns) f(sx + 8 +ns)
(316)
______
Fractional parts parts distribution
166
[Ch. 1/1, §§21 21 [Ch. ill.
into the ns-dimensional determined by by the the inequalities inequalities (315). (315). This falling into n,s-dimensional cuboid cuboid det,ermined cuboid lies lies inside the 3n-dimensional sn-dimensional unit cube; cube; its its volume volume does does not not depend dependUpon upon cuboid (v) (v) choice of of the the quantities 6~JI) ,.I'". 16~JI) and is equal to '1r.~.'1:' the choice By the note f(sx + . . ,,f(sx note (296) (2'96) the the system system of functions functions f(sx 1), ... + ns) isis uniformly uniformly f(sx + + 1), distributed in the the ns-dimensional ns-dimensional unit cube. But But then then the thesystem system of of functions functions (316) (316) is uniformly uniformly distribut,ed distributed too. Therefore is Therefore the the asymptotic asymptotic equality equality .
.
.
N (1') ( ~1,'
1
••
1 n P+o(P) ,6.. ) = n P+o(P) = q1...q3 ql ... q.
holds. Hence, get the theorem assertion. holds. Hence, using using the the definition definition of of conjunct conjullct normality, we get assertion.
22. Distribution of of digits in period period part § 22. of periodical fractions A problem A problem of distribution of digits digits in in the the complete complete period period of of fractions, fractions, arising arISIng of rational with respect in expansion expansion of rational numbers numbers with respect to an an arbitrary arbitrary base, base, was wasconsidconsidered in §§ 8. We We shall shall keep keep notation notation introduced introducedthere there and and suppose suppose that that q ~ 2, ere:d andrT isisaaperiod m == 11(mod2), (mod 2), (q,m) (q, m) = = 1, (a,m) (a, m) = = 1, and period ofaq-adic of a q-adicexpansion expansion of the number ;:
=
+ 0.
.
. .
...,
(x
=
1).
(317)
We let N!:)(6 1 ..•• .• 6n ) denote the number number of of occurrences of a given given block block 6J .. •• • 8 We 8,, n of digits of length n among among the first first PP blocks blocks .
successive digits digits of ofthe theexpansion expansion(317). (317). Under Under PP ~ Tr we formed by successive we determine Rn(P) by the equality equality N!:)(6 1 ... 6n) =
q: P+Rn{P).
A degree of uniformity uniformity of distribution distribution of of digit digit blocks blocks Si 61 ••• period or in in in the period . . 8" in part of of the theperiod pcrio,dcan canbe, b,e,evidently, evidently, characterized characterized by by an estimate estimate for for deviation deviation a part . . 8,,) from the average average value value '11" P, i.e., of N!:){6 1 ••• i.e., by by an an estimate estimate for for the quantity . 6n ) from .
Rn(P). distribution of of digit digit blocks blocksininaapart part of of the the period (under The question concerning concerning distribution on whether whether P is P <
167
Distribution of ofdigits di,its
Ch. III, §§ 22] Ch. III,
factorizationofofo,dd oddm, m,Tr and r1 Let prime factorization Tl be the the orders orders Let m in = pr 1 ..•••. p~. be the prime for moduli moduli m m and PI .. Determinequantities quantitiesPI, th,..... ,,(3s by the . . 'Ps, respectively. of q for respectively. D'etermine help of the conditions conditions .
.
qT' —
1
=
(uO,pl
. .
=
.
(318)
1.
and generality,itit may maybe beassumed assumedthat thatf3" /3,,< m i+ e ) is investigated rather rathereasily easily with withthe thehelp helpofofthe thefollowing following lemma. lemma,.
rlt
.
.
.
1
LEMMA32. 32. Let LEMMA
q
~
2, the quantities m, m1, 2, mt, r, T, r1 Tt be be determined det,ermined according according to (318), for every
b be an arbitrary and d = arbitrary positive positive integer, integer, and = (b, m). m). Then Then under under dd < p ~n T we we have estimat,e have the estimate P P-l
~e
",1:
21ri-
~
m
m ~(
d
1+1og
:::1
m) d ·
(319)
Proof. At case dd = 1. As Proof. At first first we we shall shall consider consider aa case was shown shown in §§ 7, under any any As it was int,eger integer cc the estimate + ex) mr I:ell'l ("9:1:
r—1 r-l
2 .
~vm
:&:=0
holds. Therefore using Theorem 2, estimat,e 2, we we obt,ain obtain the estimate
P1 ~
L..J e
2l1'i • .,'" m
~
.1:=0 xO
~
r—1 ~
21l"i
L..Je
max
1
cz'\ (6,q:l: +.£!.) m
r
(1 + + log n) T)
vm(l ++ log m),
(320)
coinciding with the estimate (319) = 1. (319) under d = coinciding with Let now and d\m, then in the Let now dd > 1. Since m = = pfl .. . p~. and then dd may may be written written in form d = p~1 .•. p~., where 0 ~ k1 ~ Qt, as,..., k5 ~ Q.. a8. Note form ••• , 0 0 ~ k. Note that the the inequality inequality k,,
.
.
. .
. .
m1 fit
which contradict,s contradicts the theorem which theorem hypothesis. hyp,othesis. But then then by by Theorem Theorem 9 we we have have the equality r—1 T-t
6'fl:
=.
0 L..Je2ft'i - m = 0.
'""'
s==o
(321)
Fractional parts distribution Frs'c,tional
168
[Ch. III, §§ 22 22 [ch. Ill.
6 and m m in in the the form form b6== bid, b'd, m m == mid, m'd, (6', m') = 11 and denote by i1 down band (b',m') r' Write down the order to which belongsfor formodulus modulusm'. m'.Further Furtherlet let pI P' and Q be determined which q belongs conditions by the conditions
o ~ pI < T ' •
P=Qr'+P', = QT' +P",
P
Then, using the the property property of of complete complete sums, we obtain r-l r—1
b'9:1'
L: e
211'i -
m
r'—l T . 6',~ r L:' -el2iii 211"1-, =m
=
bsqx
T
T'
~=o
s=o
and by by (321) (321)
— m'
r'-l .6',· r'—l 21r12ir,
L: e
m'
= O.
z=o Therefore, P-l 6 al """ 2,..i..L LJ e m
=
Q-l 6',"~+" Q1 r'-l r'—I 2 . bqr """ """ e 21r1 - - ,L..J L..J e m y=O ,,=0
X~O
P'-l
+ L..J e ""'"
z=O %='0
r' -1 r'—l ""'"
T1Q bIqn1Q+* . 6't +,* m' m'
~O
b'q' pl-l .6','* p'—i ""'" 211"1 - m' L..J e m'
b'q • b',·
2irt— 211'1 -,-,
= Q L..J e
2
211" e
m + ml+>e
z=O
2,r,—
%=0
p' -1 p'—i
. 6'9%
= L..J e ""'"
211"'m'
m'.
%=0
Hence, using the estimate estimate (320), (320), we we get the the lemma lemma assertion: assertion: P—i P-1
6'f· b
2,ri_L ""'" m L..J e2mm
P'-l P'—i
==
L: e
. b1qZ ,'tt=
2,rz—211'1m'
:.:=,0
:1:=0
+log m')= ~ .;;n; (1 + log m') = f§(1 +log ; ) . r, 1,2,...,s),and T, m = pfl .. . P:', Q II ~ 2 (II = 1,2, ... ,8), andthe thequantity quantity . be determined by (317). (317). Then every nn ~.11 under any choice N!:)(61 •• •6 det,ermined by Then for for every choice of ö,) n ) be digits bl"' •• . and any e > 0 we we have have the the e,quality equality 65,, . n Md
THEOREM32. LetP THEOREM 32. Let P ~ . .
.
where canst,ant implied implied by by the the symbol symbol "(Y' "(1' depends depends on on econly. where the constant only. Proof. We We determine determine integers integers 1, t, b, b, and h as as in in §§ 8:
t o. bl ... o. = --; q
t
6=
h = [(t + l)m] _[tm] h= qR qn ' —
(322)
169
Distribution of of digits digits
Ch. Ch. III, §§ 22]
denote by by TM') T1(b,(b,h)h)the and denote thenumber numberofofsolutions solutionsof ofthe thecongruence congruence aq%
o ~ x < P,
== y+b (modm),
1 ~ y ~ h.
Then by Lemma Lemma 10 10
(32,3) (323)
Using Lemma Lemma 2, 2, we we obt,ain obtain Using (324) y=i
x=O
where R is is determined determined by by the the equality equality
R=>
x0
y=i h
rn—i
P1
(y+b)z
=
m
)
Let us estimate the quantity quantity IRI. IRI. Obviously, Let rn—i
Ii
z=i
y=i
zy
Pi
rn—i
1
in z=i 2 m
Pi
.
z=O
2in
azqx
x=O
P1
4%'.
rn—i
azqz P-l """ i- . L..Je2 wm
z=i
x=O 2:=0
(325)
Let ml inj be of m m and z. be determined determined by by (318) (318) and d be be the the greatest greatest common common divisor divisor of Using applying under under dd < the estimate Using under d ~ ::. the trivial estimation and applying
::1
P1 P-l
Le
2fli
tJ%,~ azq
-,;;-
z=o
~ v'11i(1 + log m),
following from from Lemma 32, from (325) following (325) we we get
IRI~P
1
m-l
L ;+v'11i(1+1ogm)L; zi ~ p!!!:... L 1 + v'11i (1 + log m)2. (.t, m)~mml1
ml
d\rn d\m
%=1
(326) (32':6)
[Cli. [Ch. Ill, III, §§ 22 22
Fractional parts distribution
170 170
1,2,.. Since by the the hypothesis hypothesis all ~ 2 (ii (v = 1,2, ....,s), , s), then
0',
!!!.
p: = VTii·
Pl.' ·Ps ~P12 ...P88 •• •
estimate T] r1 <
m1 fit
rn1
fit pP—
. .
.
m
Viii
,—
.~ vm.
=ri
~T- =Tt ~
m
~
Observing that Observing that under any e >> 00
L 1 ~ C(e)m£, d\m
we obt,ain from (326) (326) obtain from
1+ 2 +log = ( m 1+ IRI~C(e)m2 + Vin{1+ log rn)2 m)2 =0 RI e
e ).
Now it follows from Now it follows from (324) (324) that that
T~)(b, h)= h) = ~ P + o(m~+e).
i ['In
Hence by by (322) (322) and and (323) we get get the assertion of the theorem: Hence (32,3) we theorcnl:
{tm}] P+R= qn1 P+O (1+£) m
N~)(DJ ... Dn ) = = m1 qn ++ qn
2
•
in aa part of the Note theuniformity uniformity of of distribution distribution of of digit digit blocks blocks 61 ••• Note that the .. . 6n in 32 only only ifif PP belongs follows from period from Theorem TheorelD 32 belongs to the interval interval period of the fraction ;; follows 1
E
2{311 (v = 1,2, ... ,s). r = ~, Since m rn = pfl .. Indeed, in this case = p~l ... . p~" Since Indeed, case by (318) m1 ml = . . 'P~' and T then aj+1 a1+1 0'1 +1 0,+1 ....... m Ol-Pl .. . o,-p,....... - 2 --22 2 (327) P8 r ~ = •• ·P. ~ PI .. ·Ps · P1 = PI ml a,,. Then = maxI,,,,. 0". Let a = .
•
11
Pt ·P.. P1.....Pa
I1
= ma PI0t ... ,PB0',) Q = (pr'
....... (
~
and, using using the estimate (327), we obt,ain obtain the the required bound for for the the magnitude and, (327), we required bound magnitude of the period: 1+1 !1 !+.!.. 2a (mpi ... ...p8)2 m22 20. rr ~ (mpl PB) 2 ~ m we start start on Now we on the the question question concerning concerning the distribution of of digit blocks blocks in a small small part of the period. This question is more difficult than the former and more comperiod. This question is more difficult former complicated methods of the exponential sums sums have have to be plicated the estimation estimation of of corresponding correspondi.ng exponential be where pp >> 22 is is a invoked for for its solution. We invoked We restrict restrictourselves ourselves totothe thecase caserim m = pO', where are chosen, chosen, as before, by (318). prime. We We assume assume that that the quantities prime. quantities r, Tj, Ti, and f3 (318). fi are
171
Distribution of 0.( digits
Ch. III, §§ 22) Ch. 22]
(a,p) = 33. Let Let (q,p) (q,p) = = 1, (a,p) = 1, a >>16(3, 16P, and r be be determined determined by the the 33. pa• If 2 we have have the the estima.te estimate equalitypr P' = pQ. equality 2 ~ rr < then we
THEOREM THEoREM
8P'
.4'·
P-l ""
LJe
211'1 --;-
,
<3P < 3p
'Y 1- 2 rr2
2:=0
= 2.:08.
where 'y 7 =
36 Proof. If P ~ ee36 r, then the theorem theorem assertion assertion is trivial, because of
3p
> P.
integers sand a and nn with the help Let PP> > e36 r. We determine integers help of the conditions conditions Let s
a ~ 4r
4r < s + 1,
a
n<-
s8
~
(328)
n+ 1.
It is easy to verify, verify, that the the estimates estimat,es 1
s>8, s > {j,
p.
< p4.,
7~n<s(p-1)
holds. by the hypothesis and pa pa = pr, In fact, since by hypothesis a:a > > 8(3r 8{3r and we obtain obtain from from (328) (328) P", then we
=
a
p. ~
s > 4r - 1 > 2{3 - 1 ~ {3, Further, evidently, n n
~
-; -— 11
aa 4r (s + 1) 4r(s+1) <- < ' 8
8a
~
~
a
p4r
1
= p'4.
4r -— 11 ~ 7 and, finally, finally,
1 1 aalogp log p <slogp<s(p—1). 6r < -6 log P = - 6 - < slog p < s (p - 1). 6rr
means of the equality Determine integers a1,. . . ,an , D,etermine aI, ... by means n.'(01x up B
+ = alP aip1xx + +... ...+ + en U nPsn) = + ..... . + + anP 8
:I:
8ft
xn
(329)
there are no among the the quantities and show show that (u,p) = 11 there no multiples multiples of pS p. among that under (u, p) = .. ,, n). Indeed, by comparing (II = 1,2,. 1,2, ... comparing the the coefficients coefficients of xi', XII, we get (ii
all a,,
=
u"p8" Let pW" be the highest power of p dividing obt,ain obtain
w"
n!
a,,
:f.
(modp8).
of nn
In' 1ri ~ [~] + [ p~] ++...<<3, ... < p-l _n_ < 8, P Lp 1p2 p—i Ti
Fractional Fra'ctional parts distribution
112 172
and, therefore,
(a,,, p8) = pWv,
o
0 ~
[Cli. [Ch. II!, III, §§ 22 22
w,, w n = 0. O.
W,, wil <<8, s,
(330)
Since s > > fi, {j, then then by (96) (9 6) Denote by by Tr8B the order of q for for modulus moduluspB. p. Since 1
qTa
1, ((u, u, P ) ==1,
=1+
=
T3 T a = TtP P
s-fJ
Using s (n + +1) 1) ~ a, under under any any integer integer xx ~ 0 we get
+ + C~Up8 + C~u2p28 +... == 1 + C~Up8 +... + C;UnpSR (modpQ).
qrax = (1+up8)Z qT,X (1 up,)X = 1
Hence according to Lemma 19 by by virtue of (328) that Hence according (328) and (329) (32'9) it follows follows that
—
2,ri
, p' p
j
I
I
x=O
L
P
1
e
pOI
+ 2Tsp28 I+2r3p28 I
,,%::1
P1 ~28L 1
ar+ r " ,
211'&---
P-l
. (Jr'(C;~ up'+... +c;.. unp,n)
p'
~
21r, 211'1
+
I
x=o
y,z=1 11,%=1
P—i P-l
p'
~28L
I
,01
L...J ee
I
an
a
yz 211'; "~(41P·1I%+···+·"p,n,n~R)
L
ee
I I
n!pQ I
+
(331)
P x=o ,,%=1
We determine a function f5 (y, z) z) and integers b,,, qll q,, \vith with the the help help of the conditions We !x(y, integers b", 812
12
ii
aa,,q5p31'
b
q'
n!pa
=
(b,,,
1
(v =
12
z )
1,2,... ,n).
(332)
Then we we obtain from from (331) (331) P
— pa
1
E
I
p' p'
V' L V' I
I
! e2 11' i l.(1J,%) +2P4, + I
I
I ,,%=1 y,z=1
I
(333)
I
where by (330) (330) and (332) (332) bn
bl
x (y, Z ) = - yz +... + - y z z ff5(y,z)=—yz+...+—y ql qn qi
(h 1, (b,,, q,,) q,,) = 1, ll ,
q,, p a-IIS-W"./ ~ q"
./ ~
1 a-II'-w., nip
n
n
,
(ii = 11,2,... v = ,2,... ,,n). n ).
(
(334)
Ch. Ch. Iii, III,
I
173 113
Distribution
22J 22)
To estimate the sum I'urn
= =
u.
,.P.
E e 11'i /.(" ...) 2
,,-=1 w,z= 1
we shall shall use the corollary we corollary of of Lemma Lemma 25 2lS
10'111
2111 2k'
1
2k' P' 2iri ( "1,_+ + 6"," ra)·.·.· 211 .'.. . e... 2n '1 ,.
E
=
".1=1
2L+2kNk(,)
(2k)2
+
miii
(335)
<s,s,ititfollows (334) that that under SinesSR sn<
..."
/
~
n'p·(R+l-,,) /~ ...
.'(R-l-,,)
q., qi. > P
1 + n!
..;q;
1
n'p·" •. »
,
,,-!.(R-I-II)
-~ . -+--~-.-
2
hold. But then hold. " .
(.....
.
I) . n(n-f M,(_+1)
.••., )...
n
R
flmin 11. .minp·", .;q; + Pin = p8 p·-2- II [1 min "'==1 .. v 911 '. 2
"1lZ1
n(n+i) _(_+1)
(...
vq;
q: ++
1, ... ..
n(n+1) R(_+I)
.-1-" n—I—v
II [J
~ p3 ,·-22
.!!.f! ~
I'
nflp-·-2< n"',·-2--2 2
1)
In .•. '
vq"
(n—2)(n—4) (n-2)("-'4)
16 18
(3,3,6) (336)
~<"<M 2
To estimate e8,timate Nk(p3) N,,(p·) we we choose choose Iek = =
NIr(P-)
n+1) + +8n2 8n 2 and use use Theorem 16 16
1 R("2+ )
1)',.
,,(_+1) n(n—l)f(... n(n+1) nett-I) ~ (2J:)2t(2n)".p2Bt-_-2-+8-22-.- 1 - .
,,(,,+1)
I.
R(M-l)
2 I. 5950 , (2ft)4.a P2•• -8--+'-: 5150
+8
Now Now itit follows followsfrom from (3,35) (335) by by (336) (336) and and (3,37) (337) that that 2
.
.
is(n-4) .46'. 1 .• (.-1) (.-2)(,.-,4) 2 16 5950 — +2t + 5050 IS
211 10'11112k2 ~ (2k)2R n ,,1 (2n)...• (P8)
~
a8
4.,1-.,,,.
(2n)'ht (2n)5' p
S,G ,
8 2a— 2 8 - --
10'.1 ~ 2p krti
1
910On' 910 0R 1
•
(337)
parts distribution Fractional parts Fraction,al
174 174
Since an2 <
[Cl,. 111, [Ch. Ill, § 22
< (6r)3s, then rs ....!!-
8 ....!..
1 _1_
pfl2 pn 2 = = pan2 pan' >>P216r2, p216r2 , and, therefore,
10'x I << 2p28 P
= 2':0 6 '
where where "y'y = tion:
=
8 2 2.106r2 2·10 r = 2p28P 2p28 P
2 rr2
,
Substituting this estimate into (333), we obtain obtain the theorem Sub:stituting (333), we theorem asserasserP—i
e
_2 7
_ _1_ 1
3
a
+
>
i__i
3
2P
r2
3P
+
r2.
Note that that the the obtained obt,ainedestimate estimat,eisis nontrivial nontrivial starting starting with with values values F, P, which which are are very very small with with respect respect to to the the period period T. r. In Inparticular, particular, under under any any ee >>00and andsufficiently sufficiently small large Qa for P >>reT ewe wehave have the the estimate estimate large P—i
pa
<
e
3p1—718 2
where 1'1 'y1isisaa cert,ain certain positive positiveconst,ant. constant. It It is is also also easy easy to to verify verify that that the least values values .1
r, P, from from which which the the estimate estimateof ofTheorem Theorem 33 33 isis nontrivial, nontrivial, have have the theorder ordergC e C log 3 r, where cc is is aa cert,ain certain absolute constant. where const,ant. Let, as before, . . before, N!:)(61 ••• 6,.) be the number number of of occurrences of a given digit block block . s,,) be 5,, among the first P blocks formed by successive digits of the q-adic expansion D,. the first P blocks formed by successive digit,s the q-adic expansion 6Si1 ••• . . . of the the fraction ;;. of
TUEOREM34. (q,p)=1, TUEOREM 34. If pIfp>2isaprime,(a,p)=1, > 2 is apz:ime, (a, p) = 1, (q, p) = 1, then under m m = pCf we have the the equality equality
pr
= pa, and 3 ~ r < 8P'
= where 1 = where
2.:06'
Proof. We det,ermine determine integers t,t,b, b, and hh by by the the equalities equalities (322): (32'2):
0.61 " .6,.
t
= qm ~, qR
b=
[tm], qR ,
h= (t+1)ml_ J
Then we obtain obt,ain from from (323) (323) and and (324) (324) (P) ( h P + R" = -!P+R, N fA 61 • • • 6,. ) = m
(338)
Ch. 522J 22) CII. III, §
175 115
Connection with quadrature formulas
where by by (32,5) (325) the estimate where pa—i
p—I 2iri
IRK Hence itit follows follows th,at that holds,. holds. Hence
Pi
ri—i
2wj
x0 ri—i a-I
=L: 1'=0
p
P1
P-l
L
%1
(*..,)=1,
211'1
Le
1
I —
8.fl'·
p.-P
z=O
1"'_1 <,..
-11
Since by tIle the assumption assumption p'r pr = pOt and 33 Since by we get get under vII ~ f 1,2,... 1,2, ... ,Q — - 1), we
prr=pa
~
< 8it' then choosing rM r" = ret;" (v (II =
r
a-II
—
2 :E;; r"
< 8/J 8
and by by Theorem Theorem 32 32 the esti.ma,te estimate P-J2wi 2.....19' P1
Le
p.-I1
1-
~
r" ~
< 3P
3P <3p
1-~ I—-ir'
.=,0 1
holds,. holds. Using Usi.ng this eB,timate estimate aed and applying applying the the trivial trivial estimation estimation under under iiv
IRI :E;; 3 P
p0._p 4!lf-P
i—i'Y r
f
we we obt,ain obtain
p0_Ia "-P
L -; zji L ;- + P L -; L ;-1 0'''<'' .11=1 1 f
1 - . """',,,'
1
~
P,
1
,,"""",,'
1 '"
1
P~I (3P ~ +PP-i)(I log iog p} = O(r + log pO) =O(rpl-; + PP3)(1 + 1
:E;;
Now, observing observing that Now,
-
m
h h== -qft
+
'1)'
0(,,',,','
'"
we assertion from from (338) (3,3,8) we get get the theorem assertion , +0(1) ",', = -1 P + 0 "(""",r P " r'log +R R+ N~)(61 ••• 0.) == -qR1 P,' + P 1-~ log P,:,',)',' . + 0(r 'q"
Fractional Fra,c-tion.al parts distribution dis,tribution
176 176
[Ch. [Ch. Ill, III, §§23 23
sums, quadrature quadrature formulas § 23. 23. Connection Connection between b,etween exponential exponential sums, formulas and fractional part,s distribution fractional parts distribution was noted not,ed in inthe theintroduction, introduction,there thereexists exist,sa aclose closeconnection connectionbetween betweenestiestiAs it was mates of of exponential exponential sums sums and and approximate approximate calculation calculation of of multiple multiple integrals integrals 1
1
f· .. f f(:l:1I""
I• o
x a ) d:l: 1 ... d:l: a•
0
is established especiallysimply, simply,ififthe thefunction function ff(xi,. . ,, x8) T'ms connection is est,ablished especially (Xl, ... X.) has This connection the Fourier expansion , x8 every variable ,X. and Fourier period period 1 with respect respect to every variable Xl, xi,.••• .. .
00
f(xi,.
. .
=
C(mi,. C(m L 7'Rt.···. .=-OO
rnj
.
1, · •. • ,
>
m a )e21ri(1nlZt+ ...+m,x,)
(339)
1n
converges absolutely. Consider aa quadrature formula Consider formula l
i
f·· ·f f(:l:l,""
o
p
:l: a) d:l: 1 ••• dX a = ~
L f(6(k), ... ,~a(k)) - Rp[f),
k'==l
0
where -Rp[f] —Rp[f] stands stands for for the error obt,ained obtained in replacing replacing the the int,egral integral by by the the arithmetic arithmetic mean of the integrand values values calculated at the the points points (k = 1,2, ... ,Pl.
Mk =
the points are s,aid said to be nodes The set of points points Mk Mk is is called called a net, net, and the p·oint.s are nodes of the the quadrature formula. formula. Let a certain distribt ted functions functions f1(X), fi(x),. ... . . ,, /.(x) f3(x) be given. Let certain system system of of uniformly uniformly distributed 1,2,.... . . ,, s) the number Then under any Then any choice choice of quantities quantities "YII EE (0, (0, 1] 1] (v = 1,2, number of of of the inequalities fulfilment,s fulfilments of
{f3(k)) < 1. (k = 1,2, 1,2,...,P) {fi(k)} < 11, ... ...,, 00 ~ {fa(k)} (Ie ... ,P) o0 ~ {/l(k)} (340) coordinates of of the the quadrature quadrature formula is equal to 'y,P + is to 71 ;1 .. .. 1.P formula nodes nodes are + o(P). If coordinates If
determined by the equalities equalities
e1(k) = = {fl(k)}, {f1(k)), ... e1(k) . .,, e.(k) .
= {f.(k)}
(k = 1,2, 1,2,... , P), (k ... ,P),
distributed in in the the s-dimensional s-dimensionalunit unitcube. cube. In In this case case then the nodes arc are uniformly uniformly distributed by the Weyl Weyl criterion crit,erion the equality equality p
Le
2 11'i (mlet(k)+... +fR.e. (k»
k:=l
== o(P) o(P)
(341)
177
Conn,ection formulas Connection with quadrature formulas
Ch. III, Ill, § 23] Ch.
,m.
of integers integers ml, m1,.. choice of .... , m8 not all zero. zero. We shall denote the sums holds under any choice (341)by byS(ml, S(mi,... (341) ... ,m 8 ): p
S(mi, . SCm 1,···, .
.
~e21ri(ml(1(1t)+ •••+m,e.(k» m B ) --= L..J
k=!
formula. sums corresponding corresponding t,o to the the net net of the quadra.ture quadrature formula. and call exponential sums THEOREM s,eries of of a function /(X1, . ,, XB) converge absolutely, THEOREM35. 35.Let Let the Fourier series andS(ml, S(mi,... ,rn3) ,m8) be C(mt, be its Fourier coefficients coefficients and ,m be be exponential exponential sums sums CY(mi,.... .. ,m,) corresponding of a quadrature quadra,ture formula formula corresponding t,o to the net of .
,l )
J...J
I I p
= ~Lf(el(k), ... ,e.(k»
f(ZI, ... ,:l:.)dz1 ••• dz.
o
-Rp[f]·
1t=1
0
Then the the equality* equality· 00
1 Rp[f] Rp[f J = = p-
L'
(mj,.... . C(mt, ....,m3)S ,m,.)S (mt, ,,m3) mB) .
.
(342) (342)
ml •... ,m.=-oo
holds and the the error error Rp[f] Rp[f]tends t,endstotozero zeroasasPP—+ -+ 00, oo, if and only if the nodes of the quadra,tul~ formula are are uniformly umformly distributed distribut,ed in in the the s.-dimensional s-dimensional unit cube. quadrature formula
Proof. Since Since
J...J t
C(O, ... ,0) =
t
f(ZI, ... ,z.)dz t
o
.•• dz.,
0
using the the expansion expansionofoff f(zi,. then using (x 1 , ••• X II) in the Fourier Fourier series series we we get .. , x3) p
Rp[f] = Rp[j] = ~ Lf(6(k), ... ,e.(k» -
- 0J..
. .
k=!
1
=p =
P
L
L 00
J...J 1
1
.. ,x.)dzt ....dx8 f(zt, ... dz.
.
. .
0
(k)) - C(O, . .. ,0). (mjtj (k)+...+m.t. C(m}, ...+m.Mk» C(mi,.. .. ,, m.)e2"'i(ml~1(k)+ — C(o,. .. , 0).
k=l ml,...,m.=—oo f'lJ.t ..... m,=-oo k=1
=
Hence after after singling singlingout out the the summand suminandwith with(ml, (mi,.. ... ,m.) Hence (0, ... ,m8) = (0,. , 0) and changing . . ,0) the order of summation we have the equality .
1 Rp[f] =p
L' mt ,...•m, ::::-00
'Henceforward
E
p
00
e2 1t'i (mlel(k)+ ... +m,(.(k» C(mi,. C(m m.) 1,···,,m8) II L.J ' . .
~
k::1 k1
, signifies that the summation is over s-tuples (ml,
, 0). m8) :1= (0,. signifies that the summation is over s-tuples (ml, ... (0, .... ,0). .. . , m,)
Fractional parts parts distribution Fractional
178
(Ch. III, § 23 [Ch.
coincides with with the the first first assertion of the the theorem theorem by by the definition which coincides definition of the sums sums S(ml, ,m.. ). S(mi,..... . ,rn8). Now we turn turn to the proof assertion. Let Let the nodes nodes of of the the quadrature Now we proof of the second second assertion. formula be uniformly formula uniformly distributed in the s-dimensional s-dimensional unit cube. Then Then by by (341) (341) p
S(ml, ... ,m9) ,m,)= =
:Le21ri(tnl(t(k)+...+m,e.(k» =o(P). = o(P).
(343) (343)
k=1
Take an arbitrary arbitrary ee >>00and andchoose choose mo mo
mo(e) and Po so that that the estimates = mo(e) Po = Po(e) so
Ll= L IC(mll,,,lma)IIS(mll,,,,mS)I<~PI max Im"l>mo L2= :L' IC(mll,,,lma)IIS(mll,,,,ma)I<~P max
(P>P0) (P > Po)
max max mp Im"l~mo
hold. (We obt,ain obtain the the first first of of these these estimates estimates using using absolute absolute convergence convergence of the Fourier Fourier P, the second estimate is satisfied series and the trivial estimate IS (mi,. .. trivial esti.mate IS (ml, ... ,, ma)1 ~ the second estimate is satisfied series and by (343).) Using Using the the equality equality (342), (342), we we get get 00
:L'
IRpEf]I
IS(mi,...,ms)I
ml,···,m.=-oo
= = 0.O. Now let let it be Now be known known that that the theerror errorofofthe thequadrature quadratureformula formulaapproaches approaches zero zero . as PP—p m8s not all co. We choose arbitrary --+ 00. arbitrary integers integersm1, ml,.... ,m all zero zero and and consider consider the the function f(xi,.. . ,x8) = and, therefore, limp-+oo Rp[f] Rp[fl
.
all Fourier coefficients thisfunction functionwith withthe theexception exceptionofofC(n1l" C(rnj,..... ,, m Since all m8) coefficients ofofthis 8) vanish and C(mi,. = 1 then by (342) . . ,m,) vanish and C(ml,"" rn.) 1 by (342) 00
IRp(f]/ Rp[f]I = =
1 p
:L'
C(ni,..
.
, n8)S (ni,... , n3)
", ,...,tl,=-oo
-= p.!.S (m1,···,,m.) m )= - .!. "e 2tri (ml~t(k)+ ••• +m.(,(k» · -pLJ p
.
. .
B
k=l
Therefore, 1 p lim - " e211'i(m t (t(k)+ ...+m,e.(k» p ...... oo p LJ k=1
= =
1 lim -Rp[fJ
p ...... oo
P
= = 0, 0,
(344)
Conn.ection qua,drature formulas (ormu,las Connection with quadrature
Ch. III, Ill, §§ 23) 23]
179
el
(k),...... ,, e3(k) uniformly distributed distributed in the s-dimenand the system system of of functions (k), e~(k) is uniformly s-dimensional sional unit unit cube cube by by the Weyl Weyl criterion. criterion. Thus Thus the nodes nodes of of the the quadrature formula formula are uniformly distributed. di.stributed. The Thetheorem theoremisisproved provedcompletely. completely. Let a>>1 1bebeananarbitrary max(1, arbitraryreal realnumber, number, rn m be an integer, m = max (1, Iml) Let a Imi) and C positive const,ant. constant. We Weshall shallsay saythat thataafunction functionI(f(xi,. x,) belongs to be a certain positive Xl, ••• , x belongs ) . . B its Fourier satisfy the the condition the class E:(C), if it,s Fourier coefficients coefficient,s satisfy
=
IC(rni,..
<—
.
(rni
C . . .
(345)
rn,)a
Theorem 35, integration of functions Using Theorem 3,5, it is easy to estimate the the error error of numerical integration belonging to the class f(xi,.. x,) belonging f(x1"'". , x.) class E:(C). Indeed, by (342) (342)
IRp[f]I ~ IRp[fJl
00
1
L'
p
IS(mi,. ..
(346)
mt,..o.m.=-oo
and therefore by by (345) (345)
IS(mi,... ,rn,)I
C
rzl
ILPLJJ
p
=—oo
rnt
— rn,1
(347)
Obviously, the estimate (347) (347) becomes becomes better, absolute values values of better, when when the the absolute of the (in1,. . . ,, m,) lesser (especially (especially under under small small magnitude magnitude of the exPonential sums S (mt , ... m B ) are lesser products tnt .•• collection of of the the values values of of these these B'ums sums depends depends on on the net . . . rn,). The collection 1,2,.. (Ic = 1,2, out such such aa net Mk = M(el(k), (k ....,P) ,P)only. only. Therefore T'herefore picking picking out Mk M(e1(k),.... . . ,e.(k) that the sums SS (m1' (rni,...... ,m.) , in,) have sufficiently sufficientlygood goodestimates, estimates, itit j,B is possible possible to have influence on on aa degree of precision corresponding quadrature quadrature formulas. inft.uence precision of corres'ponding Let us show that that the theestimate estimate(347) (347)cannot cannotbe beimproved improvedfor for functions functions f(x1' .... ,,x.) Indeed, let let quantities quantities Co(ml, Co(mj,.... .. ,, m be given with belonging to the the class class E~(C). Indeed, rn,) B ) be the aid of the equalities equalities
=
Co(rnj,.
. .
,m,) =
—
C
—
IS(.m1, ,m.)1 IS(.rni,...,rn.)I
(ml ,m.) (rni ... m .)a S(mt, S(mi,.. .,m,) C
if if S(rni,.. . ,m,) = 0
and a function /0(:£1,' .. ,3:.. , x,)) be h,e determined by by its Fourier Fourier expansion: expansion: 00
fo(x1,.. .
=
L
rY
\,,10
(m 1, ••• , m .. )e 211'i(m 1 z t + ..•+m,z,) ·
Fractional parts parts distribu'tion distribution FrtlctJon,al
180
[Ch. III, Ill, §§ 23 [Ch.
evidently, the estimate Since, evidently,
Go(tni,.
C .
.
belongs to to the class x8) belongs holds, the class E:(C). By Theorem 35 3,5 we We the function function 10(:1:1,'" fo(xi,... ,,x,) obt,ain obtain 00
PRp[foj = PRp[!o] =
E'
,m3) CO(ml' · ...,m.)S(mi,. ,m,)S (ml" .. ,m,)
,,"
.,m8)S(mi,.. .,m8), Co(mi,. C .,m.), O(ml," .,m,)S(ml'"
00
=
=
L....ti
.
—oo ml ,...,m1 ml,···,m,=-oo
(mi,. . ,m,), only the the s-tuple s-tuple (0, (0,... 0) but s-tuples where in in the sum E" not only where ... ,,0) s-tuples (ml"" , me), for 0, are excluded fromthe the range rangeofofsummation. summation. But But then which , ... m.) = excluded from .. , ,m9) = 0, which SS (ml (mj,. using the determination of the quantities Co(mi,.. using CO(ml"'". , m.) we get .
00
Rp[!o] Rp[fo]
C = pC = C - P
E"" "'1,...,"",=-00
00
E' L_
IS(mi,... ,m8)I 1~~1,..~):)1 m . . . ml···
,
IS(mi,...,m3)I IS(ml, ... ,m.. )1 (mi" .m,)a
=—oo ,nj ,...,m1 "'1 •.·.•_,=-00
,
and, therefore, the estimate estimate (347) (347) cannot be improved. It follows from Theorem Theorem 35 35 that that the relation follows from P
p~~ E!(6(k), ... ,e.(k» = k==l
1
I
f ..·f !(:J:lt ... ,x.)dx1".dx. 0
0
is satisfied satisfied if if and only only if the points (k),.. distributed in is poi,nts M(e1 M(el (Ie), . ... ,e,(k» uni£ormly distributed ,e8(k)) are uniformly the s-dimensional s-dimensional unit unit cube. cube. Note Note that that this thi,sequality equality (see (see [49]) [49]) is valid not only only for functions1(~1" f(x1,... whose Fourier Fourier series series are are absolutely absolutely convergent convergent (as itit was x,), whose the functions •. ,,~,), was shown in in Theorem Theorem 35), 3), but butfor forarbitrary arbitraryRiemann-integrable Riemann-integrablefunctions functionsas aswell. well. shown distributed in the s-dimenLet a system of functions functions II fi (x), (x),...... ,, 1.( x) be uniformly uniformly distributed be arbitrary numbers from (0,11. sional unit unit cube cube and 71,. sional ~1,.'. ,'1. nwnbers from the interval interval (0, 1]. As in .. , we denote by Np('yi, §§ 20, we N p('11, .... number of of points point,s . . ,, , IJ) the number
M({f1(k)}, ... {f5(k)}) Mk = Al({/1(k)}, Alk = ...,,{/.(k)}) falling into into the region 0 ~ Xl falling with the help of the equality
< 1'1, ... , 00 <11,...,
~
(k = = 1,2, 1,2,..., P) (k ... ,P)
. ,,'y8) x. <7a < 1'.and anddetermine determineRp('y11. Rp("Yl, ... "1,) .
(348) (348)
__________ 181 181
Connection with quadrature quadrature formulas formulas
23J ch. Ill, Ch. III, §§ 23]
Different characteristics characteristics of of aa degree degree of ofunifonnity uniformityofofdistribution distributionof ofpoint,s points Mk Mk in in the Different s-dimensionalunit unit cub,e cube are are considered consideredininthe the theory theoryof ofuniform uniformdistribution. distribution. The The s-dimensional discrepancy D(P) D(P) and the T(P) defined discrepancy the mean mean square square discrepancy discrepancy T(P) defined by the equalities sup IRp('Yl, ... ,1s)1 D(P)= sup
"'11,... 11,···.".
and
1
1
1··.1
T2(P)J...JR2p(xi,...,xa)dxi...dx,, T'l(P) = R-:'(Z1>"" x.) dx 1 • .. dx., o 0 respectively, belong belong to such respectively, B'uch characteristics. A relation enables us us to to estimate estimate the the error error of of quadratic quadratic formulas formulas via via the the A relation which which enables above characteristics characteristics of of uniformity uniformity of of distribution distribution of of net net point,s points will be established above established in the following theorem. We Weshall shalls,ay saythat that aa function function f(X1'" f(x1,.. ..,, xx,) to the following theorem. belongs to in 8 ) belongs class W.(C), W,(C), if the conditions class conditions
f(x1,...... ,X,,-1,1,x,,+I,'."X , 1, , x,) =0 /(Xl, . 8 ) =0
(ii 1,2,.... . . ,8), , a), (v=1,2,
.
1
1
a a 1 1(8"/(X1>""z.») ...
o
Ox1 . . . Ox, Xl ••• 3:.
2
d·Xl
• ••
dx.
(349)
/c
~
0
0
satisfied and and its partial are satisfied partial derivatives derivatives
an I(xl, x,,) (xi,...... ,,x,) ,,• 8X~1 ••• ax:' •
•
.
continuous with respect to variables are continuous variables with nj = s,atisfy the Dirichiet Dirichlet condicondi= 0 and satisfy tions with respect to to other other variables. varia.bles.
THEOREM 36.Let Let/(:£1"'" f(xi,. .. , x,) W,(C) and THEOREM 36. x.) be be an an arbitrazy arbitrary function function from from the class class W.(C) and .. ,,1s) be determined by the equality (348) the quantity Rp(11, ... det,ermine,d by (348) constituted constituted for for cocoordinates ordinat,es of of the net of of quadrature quadra,ture formula formula
1..·1
I I p
/(ZI, ... ,Z.)dX l ... dx.
o
= ~ L /(6(k), ... ,e.(k» -
Rp[/l·
k=l
0
Then for the error error of ofthe the formula formula (350) (3,50) we we have the relations rela.tions
1)81 I 1
R p [fl -( - -
1
· .. .
o
0
08
/(x 1 ,".'x.) 0' fJ Rp (Xl,···, X" ) dXl ... dx", Xl •••
Xs
IRp[/li ~ ~T(P), IRpEfil where where T(P) T(P) isisthe themean meansquare s,quarediscrepancy discrepancy of of the the net. net.
(350)
12 18'2
Fractional Fra,etional parts distribution distribution
[ch. [Ch. Ill, III,§§23 23
Using the the first first of ofthe theconditions conditions (349), (349), we we obtain obtain Proof. Using
8 11 - 1 f
x8) a) (Xl,' •• ,:£,,-1, 1, 1, X,,+l, • ..•• ,X
8-X l ..•••. 0X1
83:,,-1
=0 =
( = 1,2,. . . ,3).) (ii v = 1, 2, ... ,S •
then, obviously, obviously, But then, 1
8"f(X1, ... ,X",e"+1(k),.",e.(k)) dx" f &f(xi,... 8X1 •. , 8x" /J .
.
(,,(k)
1 = = &''f(xi,.. 8"- f(X1'" .,x",e"+1(k), ... ,e.(k» /%."=.1 .
Oxj aX 1 .• .• •. OXv_1 8X,,-1
x":=E',, (k)
.. , es( k) ) 81/ -1 f (XI, ••• , X ,,-1 , ell(k), ... &_1f(si,..
—
=
Ox1 .••. •8-X . O-Xl II - l
—
'
and, therefore, I
11
1
/ ...e./ I
I
J
8 S j(x 1 , ••• ,xB )d d dx1...dx3 Xl··· X. 8Xl ••• 8 X s Oxi...0x3
J
~1 (k)
(k)
I
1
j ··· J/ ...
=-
~I (k)
as-I/(Xl, ... ,XS-l,e,(k))d f) . . 0x8_j {) Xl Ox1 Xl ••• X.-l
J
/
.
• ••
d dX ..-l
= ···
~. -I (I~)
= (-1)8 f(el(k), ..... , es(k)). = FUrther observing that Further 1
{)"-1 f
d _— 8" f(xl"'" x.. ) xvxv—xp I— {) XII XII - XII {}
/J o
Xl ...
(351) (3.51)
r,) (Xli" .,x.) 8
aXI ...
XII
X,,-l
1
/1 _ / 0o
I
j
0
{)"-1 f(X1"'"
{)
x.) dxi, XII
Ox1 ... . . . OXv_i OXl XII -l
1
-— _ / 8"-1 f(X1" ",x.) dxv, -——I aOx1 ,x", .. . {)X"-l Xl •••
j
o0
we get get 1
1 fO$1 88/(:£I,""X,,)
··· /j a.0x1...&c8 {J . x, j1...
/ o0
d
. Xl'" Z. $1···
Xl •••
d x.
00
1
=-
/ o0
1.
··· /
1
EP- /(Xl,""X.)
0-Ox1 {) Xl ••• X ..- l . . .
00 1·
dx 1 • •• x.
= ···
1
= (-It / ... / f(:l:lI"
o
d
Xl • • • 3:,.-1
0
.,x.) dx 1 ••• dx..
(352) (352)
183 183
Connection with quadrature formulas Connection formulas
Ch. III, Ill, §§ 23] Ch.
We det·ermine determine a function t/J(x, y) y) with the aid of the equality We il/,(X 'Y
)_ { 1
0
,y -
if 1, if xx < ~ ,.
(353) (353) ,---
e.(k»
(k = 1,2, 1,2,.... .. ,, P) lying in (Ie
for the number of the net points Then for point,s M(e1(k), M(el(k), ..... ,, xi < 11, ... ...,, 00 ~ Xx8s < IS we get the region 0 ~ Xl p
Np(7i,.. ., III) = Np(11'.'
L 1fJ(el(k), 11)' . . 1/J(es(k), I.) 1:=1
and by and by (348) (348)
1 p
Rp(7i,...,73) Rp("Y1,'" ,7s) = P L ¢(6(k),7d·· '¢(~s(k),7s) -71 .. ·7s·
(354) (354)
k=1
Using the equalities equalities (a51) (352), we quadrature (351) and and (352), we write write down down the the error error of of the quadrature formula in in the form formula p
Rp[f] Rp[J)
1
1
...dx8s = ~ L!cel(k),.oo,~s(k)) - I / ... / !(Xb oo "xsdx1 )dx 1 °o'dx ...If(xi,...,xa) k~l 0 0
-- <_1)1I(!p Lf.. . ./,1, ' · · k—i k=1 1
1
...
/
o Hence ob:serving observing that Hence 1 1
f I
/J
et(k)
U'XI •••
~, (k)
£:} ux.
Xl· •• X.dXl.'
.dx s
)
• ••
dX 8
•
0
f J/
£:}
VJ 8·f(xl'" "x.) O.Xl ••• 8.X Oxi...0x8B / J
1 1
•• ...•
el (k)
OS!(Xl'oo"X s ) d,Xl
€1
P
-
08f(xx) / 1 J ... J
{)8/(xl,,...,x.) ... ,xs)d, ~ Xl 0x1...0x8 U'XI'" uX. £:}
• ••
d ,x.
~.(k)
11
= = /o
··· /
0
OS/(Xt, ... ,xs)
().Xl '" ().x,_
II_ t/J«'-»d ell ,x" 8
1ft;
dX"'
Xl. "
~=1
by virtue of (354) we obtain obtain the first assertion of the theorem: by (3,54) we
Rp[f] Rp[fl
( )8/1 /1
8 !(Xb ... ,xs)(1 f. = (_i)8 = -1 J.'".. J (}Xl • •• ()x. P L..." o
L
~=1
0
( )8/ I
S
II· fi tP(ell ()k ,XII) --
v=
1
.
1
= (_i)3J...J = -1 .. , /~/(Xl""'XIJ) 8(). _ - Rp(x1,...,x8)dx1 Rp ( Xt,···,x, ) dXt ...dx3. ... dx •. Xl ••• x. o
)
x8) dx1 Xl·' dXl .. •••. dx8 dxs .. .X.
0
(35,5) (355)
Fractional parts parts distribution Fractional
184
[Ch. Ill. [Ch. III, §§ 23
second assertion of the theorem from this equality immediately: The second theorem follows follows from R2p[fJ
x) Rp(x1 ,...,x3)dxi
(/
. .
IRp[fJl IRp[f]J ~ v0T(P).
(3.56) (356)
Note. For the the error errorof ofapproximate approximate integration integration of of functions functions f EE W8(C) W..(C) we we have also Note. For the estimate IRpEf]I ~ v0 D(P), (357) (Rp[fJl (3.57)
where D(P) D(P) isis the thediscrepancy discrepancy of of the the net net of of the the quadrature quadratureformula formula (350). (3.50). Indeed, by definition definition 1
2
T2(P) T (P) =
=
~
1
J
f···.)R2p(xi,. R~(Xll'" .,x9)dxi x dx 1 • • • dx J.. o 0 .
I
B)
. .
B
sup R~(Xl, ... ,x.)=D2(p). ,:.t,
Xl" ••
Therefore, T(P) T(P) ~ D(P) Therefore, D(P)and andthe theestimate estimate(357) (3.57)follows follows from the the estimate estimate (356). (3.56). Now we weshall shall show showthat that the estimate Now
V'ãT(P) IRp[fli IRp[f]I ~ v0T(P) obtained in Theorem 36 36 cannot cannot be be improved. improved. Indeed, let us determine x3) with the aid of the equality determine a function fo(x1,. fo(xt, .... ,,x,,) equality .
(358)
Evidently, this function satisfies satisfies the the first first of of the the conditions conditions (349): (349):
fo(xi,.
.
..
=0
(zi = = 1,2, 1,2,... ,s). (II ... ,s).
Further itit is is plain plain that Further 8 8 /O(Xl,' .. ,x 8 ) _= (-1)8 . r;::;CR ( ) - T(p)Vli P Xl, ••• ,X s • 8 Xl ••• x, . .
185
connection with Conn·ection with quadrature quadrature formulas formula.s
Ch. III, Ill, § 23] Ch.
But then 11
11
I
I
,
••• I...II ( /J \ /J 0 o 0
.,x.)) d 2
8·/0(X1," !311
()
= T2~P)
'Xl •••
/
0x1...ôx, V'XI ••• x.
d
Xs
1
1
f·· ·/ R~(X1"'" x.) dx1 · •• dx. = 0,
o
0
so the second of the conditions (349) (349) is is satisfied satisfied also alsoand, and, therefore, therefore, fo(Xl,' fo(xi,. ... ,, x a ) E so E Ws(O). equality (355) (3,5,5) we we obtain obt,ain W8(C). Now applying the equality .
)-8/J J v'C = T(~) J...JR~(Xll'" t
I] = Rp[fo] = (-1 R.p [JO
= T(P)
1
S ... ( O ... /lJ8!O(Xt, 8 O' ,x ')R P Xl,"
Xl."
o
0
1
1
o
x.
)dXl'" .dx8 dx. ,x8)dx1 .,x. .
. .
= ~T(P), .. ,x1)dxi .dx8 = ,X,) dX 1.." .dx,
0
of the the function function 10(Xl, fo(xi,.. .... ,, x.) x8) is equal i.e., the error of the approximate approximate integration integration of to v'CT(P) T(P) and the estimate estimate (356) (3.5,6) cannot cannot be be strengthened. strengthened. obt,ained results results enable enable us us to to compare compare the quality of quadrature formulas nets. The obtained let us usconsider consider quadrature quadrature formulas formulas based on nets nets M~l) and M~2) (k (k = = In fact, let 1,2,.... .. ,,P). P). Denote (P) and and T2(P) 1,2, Denote by T1 Tt(P) T2 (P) mean mean square square discrepancies dis.crepancies of these net8 nets and suppose that T1(P) . . , belongs to to the class and suppose that T 1 (P) < < T2(P). T2 {P). If If aa function function !(Zl,""X class s ) belongs W8(C), W.( C), then by Theorem 36 36 the error of the first first of of the the quadrature quadrature formulas formulas does does exceed v'CTt(P). v'ãT1(P). On fo(xi,.. . , z.) x5) by the equality not exceed On the the other other hand, hand, determining determining /O(Xl"'" (358), we we obtain obtain that in in the the class class W8(C) W a( C) there there is is aa function function for for which which the error error of of (3.58), (2) . [fo]i.sisgreater greaterthan thanv'CTt(P): yCT1(P): the second formula R~)[fo] = Thus, the criterion of the quality of quadrature formulas the following following crit,erion formulas nets is valid: valid: in functions belonging belongingto to the the class classW W3(C), the net net with with smaller smaller numerical integration of functions s ( C), the mean square discrepancy discrep.ancy is the best best of of two two given given nets. From a definition definition of the function function t/J(x, y) (353), we have have the equalities
j
1
t/J(x,"(hd-y
o 11
/ f/J(x,,..,)1fJ(Y,"")d"( o0
j 1
=
"(d"(
= 11—~2 x
2 ,
'
x 1
= Jd7=1_max(x,Y). / d"( = 1- max(x,y). max (z,,) Dlax
Fractional parts parts distribution Fra·etion-al
186
[Ch. II!, III, §§ 23 23 [Ch.
simple expression expression to to calculate calculate mean mean square square discrepancy discrepancycan can be be obtained obtained with with the A simple aid of these equalities. In fact, by (354) (3.54)
- ... 1'8)2 R~('11' ... 'I'~) ,7a) = (~ tt/J(6(k),7d ... t/J(e8(k)'1'8)-1'1 P
.
2
.
.
=
k=1
1
P
B
E II t/J(e,,(j), 1',,)tP(e,,(k), 1',,) 7v)
= p2 =
v=1 j,k=I i.k=1,,=1
2
- p
P
II
E II t/J(e,,(k), 7" h" + 7~ · · .1':, p=1 /(=1 k=1 ,,=1
and, therefore, 1
2
T (P)
=
1
f··· f R~(1'h ... ,1'8)d1'1 ... d78 o 1
0
= p2
L II fJ P
S
[
1- max (e,,(j), e,,(k»
]
v=1 j,k=1 j.k=ll1=l
2 2 - p
P
B
E II k=1 v=1 k=1 11=1
l-e~(k) 1 21k 2 2
1 1
(359)
+3
8 •
1,2,.... ,, Pl. as above, of aa net net Mk (k = 1,2, P). It is Let, as above, D(P) be be the the discrepancy dis.crepancy of M" (k is seen seen from the estimate from (360) IRp[fJl IRp[fJI ~ JC D(P), . .
in the 36, that that itit isis possible indicated in the note note of of Theorem Theorem 36, possible to judge Judge the quality quality of quadrature formulas formulasnet,s nets by by the the magnitude magnitudeofofthe thedis.crepancy discrepancyD(P). D(P). But there qua.dratu~ there expression, similar similar to to (3.59), (359), for for the the calculation calculation of of the the discrepancy; discrepancy; this this is no explicit expression, circumstance prevents practical use use of the estimate estimate (360). (360). estimate The esti.mate IRp[f]I
(361) (3.61)
followingby by (347) (347) from from Theorem Theorem 3,5 35 can can also also not not always always be be used used for for practical comfollowing comformulas nets. nets. But But this this estimate estimate isis unimprovable unimprovable and in in some some parison of quadrature formulas cases enables enables us us to establish for the quality of nets. cases est,ablish convenient convenient criteria for
interpolation formulas formulas Quadrature and interpolation
Ch. Ill, III, §§ 24] ch.
187
§ 24. Quadrature and and interpolation interpolation formulas formulas with number-the,oretical with the number-theoretical net,s nets
.. ,m8,p) Let be aaprime prime greater greater than s, 8, and and (vni,. (mt, ... ,m."p) = = 1.1. By virtue of of Let s8 ~ 2, pp be estimate Lemma 4 the estimate
,2
211"1
1nt k+ ...+m,
,2
L: e
k'
~ (8 - 1)p l)p (s —
(362)
k=t
Let us us determine determine coordinates coordinates of of aa net net Mk M k by by the the equalities equalities holds. Let
(k=1,2,...,P) (k = 1,2, ... , P) B'urn corresponding to the net net M~: and consider the exponential sum P p
211"i 2,r, mt k+ ..•+m, k'
S(rnj,. ,m,) S(mt, ... ,m 8) = = L:e >2e
,,'
P2
. .
k=l
coincideswith with the the sum sum (a62) (362) and therefore IT m,,) coincides then the sum sum S(mt, S(mi,.... .. ,,m3) If PP = p2, then under(ml'." (mi... ,m9,p) under ,m",p) = 11 the estimate (s — IS(mt, (8 -1)p -1)VP IS(mi,.... ,m.)1 ~ (s — l)p = (8 . .
(363)
The following following theorem is based on the use of this estimate. estimate. is is valid valid for for it. The , x9) belongs THEoREM37. 37.IfIfa.afunction functionI(Xt, f(xi,.... .. ,x,) belongs t,o to the class E~(C), pp is a prime THEOREM prime grea,ter quadra,ture formula then for for the error of the quadrature greater than than s,a, and and PP = p2, then
we we have have the estima,t,e estimate
<
IRp[f]I
(3a)880
(364)
Proof. As section, the the estimate estimate Proof. As itit was was shown shown in the preceding preceding section,
IRp [f]I
~C ~ p P
f' 00
",' L..J —
m1 ,...,m, ——00 mt,...•m.=-oo
IS(mi,...,m8)I IS(mt, ,m,,)1 (mt (m1 .. m 8 )a .
Fraction,al Fractional parts parts distribution
188
[Ch. [Ch. III, III. § 24
,x8) E EC:(C). Quantities ml, m1,.... . . ,m ,m3, for !(XI, f(xi,...... ,X.) whose greatest comm.on holds for 8 , whose divisorisisaa multiple multipleof ofp,p,may maybe berepresented representedininthe theform formniP, nip,... ... ,nap. , n8p. Applying divisor Applying in this case the trivial estimate
=P
IS(nip,...,nap)I
using under under (mt, (mi,...... ,m.,p) , m8, p) = and using (36.3), we get = 11 the estimate (363), lRp[f]I
~'
f,
—
)S(nip,.... IS(nlp, , naP)1 ..,n9p)l .n3p)a (nip.. nsp)a (niP'"
~
IS(mi,...,ma)I IS(mt, ,m.. )1
00
+pP + (ml ,...,m1 ,p)=l (mt ,... ,m, ,,)=1
m.)Q
f' _'_ 00
~C
(mt
,
1
~ (_. _)Q n5p)a (nip... niP· . . naP =—00 Rt fli ,••• ,n, =-00
(s—1)C (s -l)C
+ + ../p
~
11
- (mt .. . m.)a · (m, , .... m, .,)=1 ,p)—i (tnt
(36,5) (365)
from the definition of the quantities m that Since it follows follows from
— _._ {~nll n"p= f _ 12,4) — —
estimate then the estimate
under every nil, under n,,:F 0,
= fipp =n"p
nIp...nspfll...fl8 niP ... n.p ~ pnt ... n
8
for every every s-tuple of integers integers nt, ni,..... ,,n" n3 not all zero. holds for zero. But then then .
00
00
~' >I:
1
F
flj
1
1
.
(n1
..
.
(00)8 (3)81
fi
.
Substituting this estimate estimate into into (365), (365), we we get the theorem assertion 3a (s—1)C( C Rp[fJ ~ ((~) .. ~ + (8 -l)C ( . . IRp[fJl
a-l../p
../p
Note that that the the estimate estimate
Rp[f] =
\S
\8C f: 1)" < (~) .. se . a-I VP
m=-oo
m
a
(366)
QUB,drature and and interpolation formulas Quadrature
Chi II!, III, §§ 24] 24] Ch.
189 18'9
obtained in Theorem Theorem 37 37 holds holds also also for the quadrature quadrature formula formula (367) p. In the proof proof of this statement, deeper deeper greater than than sand s and P = p. where p is a prime greater results from the theory have to to be be invoked invoked and and the the estima,te estimate of theory of of exponential exponential sums sums have Weil A. Well p 21r;",1 k+ ... +m. k' 2
Ee
p ~ (s -l)JP k=l be used instead of the estimate 7). In estima.te (362) (362) (see (see the note of Theorem 7). In other other respects respect,s proof does docs not not differ differ from the proof proof of the estimate estimate (364). (3,64). the proof The quadrature quadrature formulas formulas (364) (3-64) and (367) (367) guarantee the same same order order of of decrease decrease of obtained (with the probability to unity) unity) for for quadrature quadrature formulas the error, as is obt,ained probability close close to method. We We shall shall consider consider quadrature formulas, formulas, whose whose error based on Monte Carlo method. class E~(C) has the the higher higher order order of of decrease, decrease, in in the the following following theorem. on the class . . ,, s). .s). Under integers relatively relatively prime prime to p (ii Let > 2, 2, P ~ p, and all be integers (v = = 1,2,. 1,2, ... Let pp> p P= = p nets of the form
Mk=M
p({ pa1k} ,... ,{ask})
(k=1,2,...,P) (k = 1,2, ... ,P)
are called called pal·allelepipedal parallelepipedal nets. nets. Exponential sums corresponding corresponding to to parallelcpipedal parallelepipedal net,s nets p,
S(mt, ... ,ms)=L."e S(mi,...,ma)=Ee ""'"
. (almt+ ...+a,m,)k
21r1
P
k=l
are, actually, complete rational rational exponential exponential sums sumsof ofthe the first first degree. degree. By Lemma 2 are, actually, complete for them the equality for equality S(mI,' .. , m s )
= po,(alml +... + asm s ) if at m l+ 0 (mod p), p a s m 8=O(modp), + a3m3 +... ={p if ... + 1o 0 otherwise
(368) (368)
holds. (ii = ,x5) = 1,2,... ,s), aiid p> s,s, (ap,p) ,X (a",p) = 11 (I) 1,2, ... ,8), and 8 ) E E:(C), p> P= =p.p. For For the theerror errorof ofquadrature quadra,tureformulas formulas with with parallelepipedal parallelepipedal nets
THEOREM38.38.Let Let/(3:1, f(xj,.... .. THEOREM 1
1
f·· ·f I(xl, ... , x,) dXl · · · dx, o
0
(369) (3-69)
parts distribution Fractional parts
190
[Ch. III, §§ 24 24 [Ch. Ill,
we have the estimate
+... + a3m3)
lRpEf]l
(370)
be chosen chosenso sothat that under under any any aa < 1 the net of of the the formula formula (369) (369) can be Rp[f) ~ eel CC1 IRp[fJl
logas P
pa
'
on aa and s. where 0 Ci(ct, s) is a constant canst,ant only only depending depending on C11 = Cl(a, that for Proof. ItItfollows follows from from the the definition definition of the class class E~(O), that for the theFourier Fouriercoeffico,efR, x8) cient,s cients of ofthe thefunction functionf(xl' f(xi,.... ,x B ) the estimate , IC(,ni, le(ml, .... ,m.)1 ~ (-
C c
- )a ml···m" )
holds. then by by Theorem Theorem 35 35 holds. But then 00
L:'
IRp[f]I
IS(mi,
IC(mi,.
. ,
I
..
get the first first assertion of the theorem: Hence, using using the equality (368), (3-68), we we get 00
e",,' Rp[f] I ~ P LJ IRp[f]l
I
L__l
=—oo Jnt,.·o,Jn,=-oo 00 00
6p(aimi+...+aama) o,(alffil +... + a"m,,)
",,'
—c =0 —
LJ
m .. (-mt··· -)a
Jnl.ooo,m,=-oo
(371)
To prove the second with the aid of the second assertion assertion we we determine determine integers int,egers P1 PI and P2 with equalitiesPIp' = [~], P2 = [i] and replace mIl by by n"p npp + mIl in (371): equalities
C fll,..fl.=—C0, nl. ,n,=-oo, -PI ~ml.o..• m, ~P2
o,(alml + ... + + a.m.) (nIP+ml" .n"p+m,,)a·
o ••
Since, obviously, obviously, under under m E [—P1, Since, [-pI,P2l P2] 00
00
(np + m)°'
+2
(np
—
372) (372)
191
Quadrature and and interpolation formulas
Ch. III, III, §§ 24] Ch.
and by (a66)
t'
1
1\1 ••••• n .. =-oo
(nIP. · · nsp)O
(
aa
< a-
)8 pO' 1
1·
then, in (372) singling out the the summands summands with with m1 ml = = ... == rn8 m. = = 0,0, we we obtain I C IRp[fli t 3a \ It Q. a-I pO
~ (~)
P2
I:'
+0 +c
L 00
m l+ ... + a•m .) Sp(airni+...+a3m8) o,(al
_
mt ••.• •m, =-Pl nt"", n , ..... -00
(nip . . naP n3p + + m3)a (nIP ++m1 ml ..,. m.)Q
~ (~)·C(-.!.- + ;., L.J a- 1 P° + ml,...,Tn,=—pj mt,...,m,=-pl
O,(a1m1+ ... +a.m.)). (373) (373) (mt .. · -m • )a
-.. : :
Denote by T(zi,..... '%8) , z8) the sum D'enote by T(Zl' .
P2
fip(mizi +.,. 6,(mt%t m.z s ) +...—++m3z3) —
—
—
mt··· m •
m,,...,m1=—pj
z3 are integers. integers. Let Let pp be a prime prime and and the the minimum minimum of of the the funcfuncwhere ZI,'." z1,... Za . ,,8) 8) be attained tion T(zi,..... 'Z.) , z3) in the
.
.
T(ai,...,a,)= T(al, ... ,as )= Si~ce ... ,,m, f i . not Sinceunder underml, mi,...
,Z',
T(zi,...,z,). T(Zt, ... ,z.).
(374)
divisible by p simultaneously divisible simult,aneously the estimate
p—i 1'-1
L
mm min
1 ~.tl ,•••
op(mtZI
m,z,) ~ (p - 1)·-1 1)'' +... + + m.z.) —
(375)
.tt ""1%' =1
holds, then evidently holds,
T(ai,...,a,)
T(zi,...,z,)
(p—i)' = (p—i)'
mj ,...,m1=—pj
Zj
Hence follows by Hence it follows by (375) (375) that
11 T(al"" ,as) ~ --1 pp—i
P2
mt,···,m,=-pl
~ _1_ (1 + 2 ') p-1
11
I:' L
— — m1...m,
,I.!.). < 2(3 + 2plog p). .
t-, ,
mlm
m=1 m
p
(376) (376)
[ch. III, Ill, § 24 [Ch.
Fra·c-tional Fractional parts parts distribution distribution
192
us consider in which the quantities a1, . . . , as Let us consider the quadrature formula formula (369), (3-69), in which the at, ... chosen according accordingto to the the condition conditiOn(374). (374).Since Sincea a> 1, then then are chosen > 1, P2 P2
+ ... + a3m3)
/
L:' ,m1
—pi
(
a
P2
+
... + a3m3)\ — —T a (ai,...,a8). —
m1...m3
p
using the estimate (376), obtain Therefore, using (376), we we obtain
+...+a3m3) < Substituting this this estimate into into (373), (373), we we get get the the second second assertion assertion of ofthe thetheorem theoreln under a certain C1 C 1 < (:~~) Q,:
3a \8 1+2a(3+2logp)as
[I] I ~ (~). C 2 tog P)a. ~ CC ( C 1 + ~(3 + IRRp[f] p ~ a - 1 1P ~
1i
logasP toga. p = CC toga. p . pa pOt
—
t1
pa pOt
If there exists exist,s an an infinite infinit·e sequence sequence of of positive positive integers integersppsuch suchthat that under under certain = al(p), ai(p), ..., C0 = pes), a(s), and a1 Co = Co(s), fi P= at = ... , a3 as = a8(p) a,,(p) the estimate
'2
6,(aim1+...+a3m8)
L:' =
p
(377)
=
[nj'] and to the sequence, where [l.jl] andp2 P2 [f], holds, then for every every pp belonging belonging to sequence, where PI p' the integers integers at, a1,...... ,,as mod uloppand and the the nets a8 are called optimal coefficients coei1icients modulo
Mk = M( {a~k },...,{a;k})
(k=1,2,...,p), (k = 1,2, ... ,p),
corresponding to to them, them, are s,aid said to be optimal parallelepipcdal corresponding paralle1epipedal nets. It is seen from Theorem 38 that optimal parallelepipedal nets enable enable us us to to construct It from Theorem 38 that paralle1epipedal nets quadrature formulas, for the error of which the estimate formulas, error of which
Rp[fl
= OCO~:P)
(7=03)
(378)
holds. nets it is impossible impossibleto to obtain obtain the error holds. It It can can be be shown shown that thatfor for any any choice choice of nets term better than term If p[f] =
P)
(379)
Ch. 24] Ch. III, §§ 24]
Quadrature interpolation formulas Quadratureand and interpolation formulas
193 193
on classes E~(C). Thus the the estimate estimate (378) (378) is is close close to the best best possible pos:sible in in principal principal on
order and and only only the thelogarithmic logarithmicfactor factorcan canbe beimproved. improved. Let us note some other characteristic peculiarities of quadrature formulas with parallelepipedal net,s. nets. It is allelepipedal is seen seen from the estimate estimate (378) (378) that that such such quadrature quadratureformulas formulas react automatically automatic,ally to the the smoothness smoothness of the integrand: int,egrand: the the smoother smoother the the periodic periodic results are are ensured ensured by by the application ... ,, x.») precise results application of function I(xl, x8), the more precise function f(xi,... one same quadrature quadrature formula. formula. This Thisproperty propertyof ofcomputational comput,ational algorithms algorithms one and the same (see [2]) [2]) isis called called their their "insa,tiableness". "insatiableness". Thus the quadrature (see quadrature formulas formulas with with paralparallelepipedal nets enjoy enjoy the the property propertyofofinsatiableness. insatiableness. solutions of minimal value value of the product ml ... m, for nontrivial nontrivial80lutions Denote by q the minimal the congruence (380) atml + +... a.m, == 00 (mod p). pl. ... + + a,m3 . . .
with parallelepipedal parallelepipedalnets netsisisthe thefact factthat that Another peculiarity of quadrature formulas formulas with they are exact exact for for trigonometric trigonometric polynomials polynomials of the form Q(Xl," = Q(xj,. .,x,,) ,x8) = . .
L >
2 1 t . C(ml," C(rni,. .,m 8 )e 21'i(m x +... +m,x,), .
(381)
mt ...m,<,
for every every trigonometrical polynomial (381) (381) the the equality i.e., under = p for trigonometrical polynomial i.e., under PP = (382)
is fulfilled. the quadrature quadrature formula formula ilndeed, us consider consider the Indeed, let us
J...J 1
1
Q(zt, ... ,z.)dz•... dz.
o
0
(383)
of the the polynomial Since under under Thi ml ... Fourier coefficients coefficient,s of polynomial (381) (381) vanish, . . . mIl ~ q the Fourier then by Theorem 35 a5 the equality
Rp[f] =
+...+a5m,)
(384)
By the definition of the the quantity holds. By definition of quantity q in the the sum sum (384) (384) there there is is no no .s-tuple s-tuple +.... m1,...... ),m, mt, m.. satisfying the congruence congruence a1m1 at mt + a"m, == 0 (mod p), and, therefore, therefore, +a3m8 . .+ and we obtain the every term term of of this this sum sum isisequal equaltotozero. zero. But But then then Rp[f] Rp[f] = 0, and every we obt,ain equality (382) from (383). (383).
[Cu. [Ch. Ill, III, §§ 24
Fractional Fraction.s' parts distribution
194 194
by (380) be called the parameter The quantity quantity q determined determined by (380) will will be called the paramet,er of aa paralparaJThe (381) and and (382) (382) that that the more lelepipedaJ net. It is is seen seen from from the equalities equalities (381) more the the lelepipedal parameter is, is, the themore morethe thenumber numberofoftrigonometric trigonometric polynomials polynomials for for which which the the net parameter corresponding quadrature formula is exact. exact. Therefore in construction construction of of quadrature quadrature corresponding quadrature formula is Therefore in formulas itit is appropriate to formulas to use use nets nets with with the thelargest largestpossible possible values values of of the the paramparameter q. The nets are are these these very very nets. nets. To To be be sure of it, we The optimal optimal parallelepipedal paralle1epipedal nets we (377) consider the inequality (377)
'2 ~'
b,(al m l
If1 ,...,1fl1 mt,..·,m,=-pt
+... + a.m.)
P
defining optimal coefficients. coefficients. Since Since in in the sum used in defining , , m s,atisfy relations which satisfy the relations of values values mt, m1,.... m3, . . s
mI ... m,
= q,
aIml
q
6,(aimi + . .. + — m1...rn8
there is an s-tuple
(modp), (mod p),
i, and therefore <
—
mi,...,m8=—pi
. ",,1 m L,., m t ••••. , ,
+... + a,m, == 0
then this sum sum contains cont,ains a term term being being equal to 1
~ Co logP p
n21...m8 mI .• . m,
.—.
log15
p ,
o
P
q.._ q~
p fJ' Colog"p Colog p
On the other hand, hand, itit is is seen seen from the definition (380) (380) that that q ~ p. Thus the parameter of optimal parallelepipedal nets from its its largest possible possible value value not not more than net,s differs differs from than certain power power of of the the logarithm. logarithm. by a certain In connection connection with the the needs needs of of computational comput,ational practice, practice, there arises arises aa question question algorithms for for computing computing optimal optimal coefficients. coefficients. Under Under ss = about economical economical algorithms = 2 this question is is easily easily solved solved with with the the aid of properties properties of of finite finite continued continued fractions. fractions. Let question 11 <
(v=1,2,...,n). (II = 1,2, .. . ,n).
(385)
q2+.
We shall show show that that the We thenumbers numbers1,1,aaare areoptimal optimalcoefficients coefficient,s modulo modulo p. p. Indeed, t,ake take ss = 2, al a1 = 11 and and a2 a2 = aa in the sum Observingthat that the B'urn (377). (377). Observing Indeed, summands with with ml m1 = 00 or vanish and and using = Im,,1 for or m2 m2 == 0 vanish summands using the equality equality Th,, mIl = 0, we we obtain obtain mIl ~ 0,
'2 ~'
ml.Rl2=-Pl ml.m2—p1
1'2
Sp(mi+am2) 5,(ml + am2) = = m2 mjmz mt mt=-pt
~'
'2
L'
m2=—p, mi=—Pi fn2Z-Pt
öp(mi+am2) 5,(mt + am2) m tll m l2 1m12 IImil
(386)
Quadrature and interpolation formulas
Ch. Ch. III, Ill, §§ 24]
195 19'5
iv,
for which which the the terms terms of of the the sum Since Imll then the quantities quantities m1 fit,, m2, for P2 ~ mi I ~ P2 (386) are are not equal to zero, (386) zero, satisfy the relations am2
==
(mod p),
—m1 -mt
am2 —mi mi I —21 == 11-;1 =— I m; p p p I = I~II,
am2
Imll = pll a;211· p
from (386) (386) that But then itit follows follows from 1
1 —
m,=—p,
P
p L_1 m2=1
P
Hence using Lemma 3, we get Hence
ml
rn1m2
p
and the the integers integers 1, 1,aa are areoptimal optimalcoefficients coefficients modulo p by the the definition definition (377). (377). 1, and particular, under under M M = 11 all partial quotients of the fraction (385) In particular, (385) equal equal!, and numerators and numerators and denominators denominatorsof ofits itsconvergents convcrgents are are successive successive terms of the Fibonacci sequence 1,1,2,3,5,8,..... , Qn,"" 1,1,2,3,5,8, (n ~ 2). Qo = 1, Ql Qi = 1, Qn == Qn—i Qo Qn-l ++Qn—2 Qn-2
Thus under under any any nn > 2 the numbers 1, Thus 1, Qn-l are optimal coefficients coefficients modulo Qn' It can be be shown shown that that under under aa == Qn-l, p == Q,, and PP == p for functions belonging to Qn and the class clas's Ef(C) the error of of the quadrature quadrature formula formula = estimated especially is estimated especially well: well:
(log P from (379) (379)that that the order of this estimate cannot be improved It follows follows from improved under any choice of of nets. nets. choice If the multiplicity as of the integral is greater than 2, 2, then then algorithms algorithms for for optimal optimal cocoefficients computation are more efficients comput,ation more complicated. complicated. We We shall shall expose expose some of them without without any details. any
Fra,ctional parts distribution Fractional
196
[Ch. (Ch. III, III, §§ 24
= 1. We determine functions functions T(z) T(z) and h,e a prime prime greater than s8 and and (z, (z,p) We determine Let p be p) = H(z) by by the the equalities: equalities:
T(z) = T( z) =
~ ~ (i (1 -
H(z) =
~ ~ (1- 2{ ~})
—
sin22 ir log 4 sin 1r {
sin2 ir log 4 sin ~ }})) ... ... (1 — - log 1r { Z:k } ). }), 2
(1- 2{ Z:k})
2 ...
2.
of T( T(z) If the minimum minimum of z) or H(z) H (z) for for integers integers zz from from the the interval interval 11 ~ z < pp is is atatof numbers numbers1,1,a~a,... tained positive residues residues of ... ,,a s - 1 are optimal tained at at zz = a, then the least positive coefficientsmodulo modulop.p. The theorem coefficient,s theorem about the the number nwnber of ofsolutions solutions of ofpolynomial polynomial congruences to to a prime modulus and of the the Fourier series for for and the the form form of of coefficients coefficients of congruences the functions 11 —log - log 44sin2irx sin2 1I"X and and 3(1 3 (1— - 2{x})2, 2{ X})2, 00 00
. 21f1
I e tux 1_log4sin2irx=1+> 2 1 -log 4 sin 1rx = 1 + L ~ Imi F
({x}~o),
m:=-oo
66 3(1 — 2{x})2 = 3(1=11 ++ 2" '11"
°o 00
L
I
m=-oo
.
e22,rimx 11'1 niX
-2-' m2 m
are used to prove prove this this assertion. assertion. of elementary element,ary arithmetic operations in the minimization minimiz,ation of the funcfuncThe number of tions T(z) and and H(z) H(z)has hasorder order0(p2) O(p2)and andrequires requires long long calculations. Nevertheless Nevertheless the table for computing computing integrals, integrals, whose whose multiplicity multiplicity does does not ext,able of optimal optimal coefficients coefficients for ceed ceed ten, was obtained with the the aid aid of of aa slight slight modification modification of the above algorithms. Recently more economical economical algorithms algorithms are are found, found, the the number number of ofoperations operations in in them is reduced to 0(p). O(p). That Thatdecreases decreasesessentially essentiallythe thevolume volume of of preliminary preliminary calculations calculations reduced of approximate approximate computation computation of ofintegrals integralsby by the the method method of and extends possibilities possibilities of opti.mal optimal coefficients. co1efficients. The number-theoretical number-theoretical quadrature quadratureformulas formulas can can be be used used in itl aa number numberof ofproblems problems of analysis analysis and mathematical mathematical physics. physics. Here Here we we restrict restrict ourselves ourselves to one one example example approach to to the the construction construction of of interpolation interpolation formulas formulas for functions functions illustrating an approach of several variables. For the sake convenienceunder undersa> we shall shall use use the the not,ation notation s,ake of writing convenience > 1 we
j
Rll"""' (
/
—
_ 1,..., aj) — X1,···,x. -
0fl1+...+fla f( +...+n, I(x
8,Rl
8 Xlnl
.
1,"·' x 9 )
8"' ••• x.
#I
.
·
a > > 22 and and aa function function /(X1,' .. ,, x s ) belongs to the class E~(C). Then we have we have the equality
LEMMA3.3. 33. Let LEMMA
f(xi,..
.
,x9)
=
I..
. .
197
Quadrature and interpolation formulas Quadrature and formulas
Ch. III, I!!, § 24] Chi
X!!· (
1)
{y., - X.,} - 2"
p
T
(387)
dYI .• . dys.
the fact, fact, that that the the function functionf f(xi,.. Att first first we we observe observethat that under under aa > 22 the Proof. A (x 1 , •.•. , xx3) s) implies the the existence existence and and continuity continuity of of the derivatives belongs to to the class E~( G), implies belongs derivatives ""' ) I Tt ,.••• '1'. (~..... 1,· · · ,x,) '''''.t
= 0,1, vii = 1,2,... (TV =0,1, 1,2, ... ,8).
.
Let s = = 1, a> a >2,2,and andf(x) f(x)E EEr(C). Ef(C).Performing Performingthe theintegration integration by by parts parts and and using the periodicity periodicity of the integrands, int,egrands" we obtain
/
f'(y)
—
x}
dy —
=
f
f'(x + y) —
and, therefore,
=
/
f(y)dy+
dv
-
=
x} -
>
weget get the the lemma Applying this this equality the variables variables Xi,. Xl, ••• X s consecutively, consecutively, we equality to the .. ,, x8 assertion:
f(xi,.
. .
,x8)
I frl(yi,X2,.
=
— Xi}
.
—
1)nldy =
= o
o
Note. integer, aa > r + Not,e. [f If r is is a positive integer, we have the the following following + 1, and fI EE E:< C), then we equality analogous to the the equality equality (387): (387):
f(x1,. . . ,x8) I(xl,"" x,,) = =
I /J.1 ... /1, [< l)r-1 ] xv))] L_ r T1 .....TT·(Yl, ....,ya) ,Y.)]J II -r! BT({y.,-x.,}) II
—
'1'1, •••• '1',-0
0o
.
0o
11--1
'1'.,
dyi ... .. dy., dYl
Fractional parts parts distribution Fractional
198
where B r ( x) are the the Bernoulli B,ernoulli polynomials: polynomials: 1·
B 1 (x)
= X - 2'
1
2
B 2 (x)_=
X
[Ch. ",, Ill, § 24 [Ch.
-
+ 6'
X
Under r = 11 this assertion assertion coincides coincides with (387), and in the the general general case case it it is is proved proved by induction with respect respect to to rr with withthe theuse useof ofthe theequalities equalities
Br(1)
= rBri(x)
Br(O),
(r
~
2).
THEOREM 39. Let Let r ~ 2 be a positive integer,Qa ~ ? 22 r, and . ,as THEOREM 39. positive integeJ:, and a1,. al, ... , a3 be optimal x8) belongs belongs to to the class coefficients modulo class E~(C), then coefficients mod ulop.p.IfIfaa function functionf(Xl,". f(xi,. .. ,,x,,) we have the equality we have .
. ,x8) f(Xl,."'X.) .
=~
t t _rrt..... k~l
a~k },... ,{a;k}) ~ [( _~r-l B {a;k r (
rtt ... ,r.-O
Xu } )
11-1
p)
r
})JT&.p
8
rr •( {
0(1ogYp" + o (log"Yr ' + \ p' /
(388)
where where aa constant 'y 'Y depends depends on r and andasonly. only.
Proof. Let f1(x1 ,...,x8) and and f2(Xt, f2(xi,..... ,x,,) ,x3) ixiong Proof. Let functions functions 11(Xl,".'X,,) belong to to the the classes clas:ses E~(Cl) respectively. We We shall shall show showthat that the product of and E~(C2), reS'pectively. of these these functions .
f3(x1,...,x3)= 13 (:VI , •••, Xa ) = 11 (Xl' · · · , Xa )!2(XI, · ·..,x8) · , X.,) belongs c33 depends a, and belongs to the class class E~(C3), where where C depends on Ci, C1 , C2, C2 , Ol, and a. s. Indeed, denote by by Cj(ml, C,(rni,.... . , m3) = 1,2,3) the Fourier coefficients of the func) Indeed, denote ,m (j = 1,2,3) the Fourier coefficients funca Multiplying the Fourier series of the functions fi and 12, and 13. 13' Multiplying the Fourier series of the functions 11 12, we we tions 11, tions fl, 12, and obtain .
00
f3(xi,.
. .
x.)
(m .. E CC3(mj,. = mt •.··.m.=-oo 3
m3) 1,· · • ,, m •)
e2'ft"i(ml:r;1+ •.• +m~x.) ,
where 00
C3(mi,. .
.
=
E
fl,lJ ••••
.. ,n8) C2(mi — ni,. . . ,m8
—
n3).
n.=-oo
Therefore, 00
E
JC1(ni,...,n3) C2(ml —ni,...,m8
nI,...,nI=—co 1lt,.·.,n.=-oo 00
[n1
.. .ñ8(mi
—
ni) ... (m8 — (389)
Ill. SI 24J CIt. III, 24]
Qua,d,.tule and interpolation intetp,oIation formulas form,ulas Quadrature
191
where a(m) denotes the sum s'um
Estimate the sum u(m). a(rn). If iii> m >1, 1, then then
InI>—In,J
>2
[n(rn-n)r
>2 1
11= —00
estimate is, = 1 too. But This estimat.e is, evidently, evidently, satisfied s,atisfied under m = But then then we we get get from from (389) (389)
and,
=
,m9)I <
1C3(ml,
therefore, f3(zi,..
,
where C3 = CC1C3 and
x8)
According to t,o the the note noteof ofLemma. Lemma 33 3,3 under undm-
",fI.)!!.
_ ' rTl , ••• ,r'r. " F(y1,. .. F(Yl"",V.) -= / (sll,. ..
"
II
('"
(-1)' , " ,)", r., ",',' r - l , — r! Br{{fI.. -:til})
(390)
the equality 1
f(xi,... , /(%1,.··,:t.)= =
1
1
F(y1,. .. ,y3)dyi ... .. dV. L /J...... // F(Vll""fI.)df/l
. >2
1'1,••• ,1',=0
.
0o
0o
holds,. Differentiating t,he Fourier series holds. the Fourier 00 . .
=
L
m' )", . ,m,) C,' ('"m 1,···, •
+-,'.) ,
e2Iri(m131+...+m&W.) ..o2tri(Ml't+•.• ~
(391)
[ch. [Ch. Ill, III, §§ 24
Fractional parts distribution
200 we obtain obt,ain we rT ,...,rr1 r1", ((y. 1,· · ., 11.. ) jj;rrt l •••••
00
= C' =c'
rTl mN'.'C(m m ) e2iri(mlYt+...+maYa), s271'i(ml'l+... +m ,y,) 1 ••• 8 1, • · .• ,m8) , 8 '"' ,
m L miT' mt ,...,m1—oo
>
ml •..·,nl,=-oo
where (21ri)r(r1 +... +r,). Since Since where 0' C' == (2 rTI rr O( )1 1 1 ... m B' mI,···,m.. ~
I
I c Imt(-
ITt
IrT'
B · · .m -)01 ml···m. ~ C ~ C -. .: : (()r' m5)r mI .. . -m, )OI-r -. .: : (ml mt .. . -m,
fi
,y,) belongs to the the class class E~(Cl) E(C1) with the function function ft(Yl," fi(yi,.. .,Y.) = = jrr1J •.•• rr'(Yl,""Y') belongs to with
the constant C1 = IC'IC. 01 = JC,IC.
ofthe the r-th r-th Bernoulli Bernoulli polynomial polynomial BBr({y}). Let c(m) be the the Fourier Fourier coefficients coefficients of Since r ( {y }). Since for the Fourier of the the function c( m) == Fourier coefficients coefficients of c(m) = 0 ( ~r ), then for
12(Yl, f2(yl,.... ' ,Y.) = =
..
Xv)) II B~"({y" -—x,,})
,.,=1
we obtain the estimate we obtain
C2(mi,...,m9)=O( — (in1
.
m8) r)
, belongstotothe theclass classE:( E(C2). But then the and, therefore, the function f2(Yl, .•• ,1/,) belongs O2 ). But determined by by the the equality (390) belongs belongs to to a certain function equality (390) certain class clas:s function F(y!, FQji,...... ,, 1/8) det,ermlned may use the E~(C3) and for the the evaluation evaluation of the integrals integrals in the equality equality (391) (391) we may obtained under under PP = = p in Theorem 38: quadrature formula formula obtained 38:
J...J /.. / F(yi,... 1
1
dy9 , y3)dy1 .. . dys F(yt, ... ,ys)dYl'
o
.
0
depends on rrand and s8 only. where'Y only. Hence Hence by by (390) (390) we have have the equality where depends
Ch. Ch. Ill, III, §§ 24]
201
Quadrature and interpolation formulas Quadrature and interpolation formula:$
coincideswith with the the theorem assertion by by the definition theorem assertion definition of the the function function which coincides
F(yi,.. F(Yl, ... ,Vs). , y.). .
is obtained obtained under under the the assumption assumption that that the The interpolation interpolation formula (388) (388) is the function function belongs to the class f(zi,. f(Xl"'". ,x8) XII) belongs class E:(C), where a ~ 2r and r ~ 2. In In the the same sameway, way, somewhat ourselvesof of the the validity validity of of the somewhat complicating complicating the proof, proof, we can convince convince ourselves also. So if /(3:1, f(x1,... and al, a1,.. formula under underrr = 11 also. formula So if ... ,x3) ,3: 8 ) E E~(C) and ....,a, ,a., are are optimal optimal coefficientsmodulo modulop,p,then thenunder under PP = p we have the equality coefficients we have .
f(xj,.
.
.
ft
=
+
—
o (log"Y
P)
(392)
p'
where I depends depends on on s only. only. Unlike Unlike the the formula formula (388), (388), which which is not not unimprovable, unimprovable, order of of the error error decrease decrease in the interpolation interpolation formula formula (392) cannot be improved the order under any any choice choice of nets. The quadrature quadrature and andinterpolation interpolationformulas formulas with with parallelepipedal parallelepipedal nets net,s established established section were wereobtained obtainedunder under the the assumption assumptionofofthe theequality equalityPP = = p, where in this section where P is is If the the the number of the net nodes nodes and and pp is is the the modulus modulus of the optimal coefficients. coefficients. If quantitiesat, aj,... a8 are chosen quantities ... , as chosen so that that the thenumbers numbers1,1,a1, at, ..... ,, a8 as are (s + +1)-dimen1)-dimensiona! too, sional optimal optimal co,efficient.s coefficientsmodulo modulop,p,then thenthese theseformulas formulasare arevalid validunder underPP<
only.
The first results results in in the the application application of of the the number-theoretical number-theoretical nets to the the approxiapproximate computation computation of of integrals of an an arbitrary arbitrary multiplicity were were obtained obtained in the papers [23] and [29]. [29].Henceforward Henceforwardan anessential essentialcontribution contributiontotothe thenumber-theoretical number-theoretical meth[23] at.ld ods of numerical integration integrationwas wasmade madeininthe thearticles articles[3], [3],[12], [12],[14], [14],[10], [10], [8], [8], and and [5]. [5]. Recently a large number and Recently number of of papers papers and and aaseries series of ofmonographs monographs [30], [30], [15], [15], (18], [18], and [38] have numerical analysis. analysis. [38] have dealt dealt with number-theoretical methods in numerical
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SUBJ'ECT INDEX IN~DEX SUBJECT
summation formula formula 5, 5, 16 16 Abel summation polynomials 198 198 Bernoulli polynomials inequality 108 108 Cauchy inequality distribution 149 149 completely uniform distribution distributed completely uniformly distributed function 153 153 normal numbers numbers 164 164 conjunctly normal Dirichlet condition condition 181 181 Dirichiet 181 discrepancy of the net 181 distribution
completelyuniform uniform—- 149 completely complete period period 46 46 -— of digits in complete p'eriod part 166 166 - of digits digits in period — -— of fractional parts parts 139 139 uniform—- 139 uniform error of an integration integration formula formula 184 184 xi exponential sum xl complete xU, complete — — xi!, 8 -—- — containing function 41 containing exponential exponential function — - -—corresponding 177 corresponding to the net 177 double - -— 133 double — 133 incomplet,e xli, 8 incomplete —- -—xU,
rational - -— 41 41 rational — -— -—with with recurrent function 54 Fibonacci sequence 195 195 Fourier -— coefficient coefficient 80 80
— expansion xlv - expansion xIV
- series series 80 80 fractional parts part,s 139 139 —
Gauss theorem theorem 68 68 Gaussian sum 13, 68 S'um 11, 11,13, 68 insatiabieness quadrature formula ins,atiableness of quadrature formula 193 193 interpolation interpolation formula formula 196 196 Legendre's symbol 61 symbol 15, 15, 61 Linnik's lemma lemma 38 38
Mordell's estimate cstimat,e 33 33 Mordell's method 29 2'9 multiplication formula 99 net discrepancy of discrepancy ofthe the— - 181 — quadrature formula formula 176 176 - of the quadrature parallelepipedal —- 189 parallelepip'edal optimal parallelepipedal optimal parallelepipedal—- 192 parameter of — 194 parameter ofaa parallelepipedal parallelepipedal-
Newton recurrence recurrence formula 31 Newton node node of the quadrature quadra.ture formula formula 176 176 normal number 159, 159, 164 164 optimal parallelepipedal net 192 192
parallelepipedal parallelepip,cd~l
net 182 182 parameter of a parallelepip'edal parailelepipedal net 194 paralneter Parseval's identity 83
Subjt,et Subject in'dec index
quadrature formula 176 quadr'ature error of 176 error of— - -—176 insatiableness ofof— 193 insatiableness - -— 193 net of 176 net of the the— - -—176 nodes of the—— of t,he - - 176
rational sum f'ational complete — xli, 8S complete - -— xU, incomplete -- -- 126 126 reducing factor 111 111 reducl,ng Riemann zeta-function xv, Riemann xv. 119 119 sum sum arising in zeta-function an,sing zet,a-function theory 119 119 complete exponential — xu. xli, 8 complete exponentialcomplete rational xli, 8 complete rational— - xU, degree of of Weyl's WeyPs— - xli xU
dduble e:xp1onentialexponential — 133 double exponential — xl xi exponential-
exponential -- correspondi,ng corresponding to the exponential net 177 177 Gaussian —11, Gaussian -11, 13, 68
incomplete rational rational—126 -126 rational rational exp,onential exponential -- 41 41 -— of Legendre's Legendre's symbols 61
Weyl's -xl1 Weyl's — xii system system of congruences congruences 34 34 system of equat.ions equations 79 uniform uniform distribution distribution 139 completely — completely - -—149 149 sequence 139 uniformly uniformly distributed distributed sequence uniformly uniformly distributed distributed system of funcfunct,ions 149 tions Vinogradovls Vinogradov'smethod method 78,85 78,85
Vinogradov's Vinogradov's mean mean wue value theorem 87 repeated application applicat.ion of -— -— -—-—115 115
Weyl's 14,2 Weyl's criterion 142 multidi,mensionalmultidimensional — -— 15,0 150 Weyl's 6,8 Weyl's method 68 Weyl'9 xU Weyl's sum xii xli degree of -- -—xii Weyl's theorem 148 148
IN'DEX OF OF NAMES NAMES INDEX
5,16 Abel 5, 16 ~. I.I. 138 138(see (see[1]), [1]), 203 203 Arhipov, G.
Legendre 15, 15, 61, 61, 64 64 Linnik, Yu. V. 34, Linnik, Yu. V. 34, 38, 38, 87, 87, 91, 91, 204 204 'I
Babenko, K. K. I.I. 193, 193, 203 203 Babenko, N. S. S. 201, 201,203 Bahvalov, N. 203 Bernoulli 198, 200 Bernoulli 198, 200 Burgess" D. D. 65, 6,5,203 Burgess, 203 Bykovskii, V. A. 201, 203 203 Bykovskii, A. 201, Cauchy 108 108 Chandrasekharan, K. K. viii, viU, 208 203 Chandrasekharan, Corput, J. J. van van der der146, 146, 203 203 Dirichlet 181 Dirichiet 181 D'obrovolskii, 201, 203 203 Dobrovolsidi, N. N. M. 201, E;;termann, T. 16, 16, 203 203 E$ermann, T.
Fibonacci 195 195 Firneis, F. 201, 201, 203 203 Frolov, 201, 203 203 Frolov, I{. K. K. 201, Fourier xiv, xlv. 80 80•...• 200 Gauss xiU. 16, 16. 68 Gauss xiii, Gel'fond, 53, 203 203 Gel'fond, A. A. O. 0. 53,
Halton, J. 201, 201, 203 203 6,5, 203 HasBe, Hasse, H. H. 64, 64, 65, 201,203 Hlawka, Hlawka, E. E. 201, 203 Hua, L. L. vii, vU, viii, vJU~ xlU. xiii, 29, 29, 201.204 201, 204 Kni,zhnerman, Knizhnerman, L. L. A. 25, 204 Korobov, M. xiii, xiii, xv, xv. 54, 64. 119, Korobov, N. M. 64, 119, 201,204 201, 204 Kostrikin, Kostrikin, A. A. I.I. 58, 58, 204 204
Manin, Manin, Yu. Yu. I.I. 64, 64, 204 204 Mordell, L. xi, 29, Mardell, L. 29, 33, 34, 34, 78, 78, 84, 84, 111, 111, 205 205
Nesterenko, Nesterenko, Yu. V. V. 97, 97, 205 205 Newton Newton 31 31 Niederreiter, H. H. 201, 201, 205 205 Parseval 83 Parseva183 205 Postnikov, A. G. G. 163, 163,205 Prachar, K. K. 133, 133, 205 205 Riemann xv, xv. 119. 119, 180 180
Rogovskaya, N. N. N. 138, 205 Rogovskaya" 205 Sokolinskii, V. V. Z. 25, 138, Sokolinskii, 138, 205 20,5
205 Stepanov, S. A. A. 64, 64,205 Taylor 151 151
Vaughan, R. R. C. vi, 205 205 Vaughan, 29, 34, 65 65 Vinogradov, I.I. M. M. vii, vii, viii, vUlt xli, xii, 29,34, 78, 85, 85, 87, 87, 996, 78, 6, 111, 115, 119, 205 1
Walfisz, A. A. vlU, viii, 119, 119. 205 Walfisz, Wang, Y. 201, 204 Wang, Waring xi, xii, 33 Waring xl, xU, Weil, A. A. xl~l, xiii, 3~, 33. 61:, 64, 6f?, 65, 189. 189, 205 205 Wei!, Weyl, H. H. xU...., xii 179. 205 205 139 ... , 179, Weyl, 139,
Zinterhof, P. P. 201, 203 Zinterhof,