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i = —
Figure 23: A schematic picture of (a) undisturbed and (b) disturbed fragment of the double helix. The latter contains one open state.
5.7
DNA denaturation
The nonlinear model for thermal denaturation of the DNA molecule has been recently proposed by the authors of88'89. They assumed that the DNA molecule can be modeled by two discrete chains connected Morse potential Vn (n = 1, 2, 3, ...N) representing the hydrogen bonds (Fig. 24). For each base pair the model includes two degrees of freedom (un and vn) which correspond to the displacements of bases from their equilibrium positions along the direction of hydrogen bonds (Fig. 25). So, the Hamiltonian of the model has the form
with where m is a common mass for bases; k is a coupling constant; D and a are taken equal to 0.33 eV and 1.8 A
, respectively.
130
Figure 24: Two polynucleotide chains connected by hydrogen bonds.
Figure 25: Displacements (un, vn) of the bases in the model.88'89 Hydrogen bonds are shown by dotted lines.
To study denaturation process which includes the strand separation (Fig. 26) it is important to investigate the behaviour of the variables yn
These variables represent the out-of-phase displacements which stretch the hydrogen bonds. The dynamical equation for the variables can be found from Hamiltonian (Eq. 47) in the form
To solve the equation, Peyrard and Bishop restricted themselves to a con-
tinuum approximation and used a multiple-scale expansion which is valid when
131
the precursor phenomena are considered. As a result, they obtained a nonlinear Scrodinger equation whose soliton-like solutions were discussed in Sec. 3.6. This result permits one to suggest that an energy localization analogous to selffocusing phenomena well known in physics initiates the denaturation process in DNJ
Figure 26: A schematic picture of local strand separation.
5.8
Energy transport in alpha-helical proteins
The problem of energy transport along linear-chain molecules has long been posed. In the early 1970's it was already known that the energy (about 0.43 eV or 10 kcal/mol) released in the hydrolysis of adenosine triphosphate molecules (ATP) is an universal energy unit in many biological phenomena. However, the mechanisms of the energy trapping and transport were unknown. 90 In 1973 Davydov and Kislukha1 proposed a nonlinear mechanism for energy transport in one-dimensional chains. Later this mechanism was used to explain the energy transport in alpha-helical proteins.39'91 It was taken into account that proteins consist of chains of hydrogen-bonded peptide (H — N — C = 0) groups, and three such chains in a helical arrangement define the alpha-helix structure. 92 ' The energy released in the hydrolysis of ATP is not sufficient to excite the electronic states of alpha-helical molecule but it is sufficient to
excite the intramolecular C = 0 stretching mode (Amid-I vibration) with the excitation energy 0.21 eV. According to Davydov, the energy released in the hydrolysis of ATP could be trapped and transported in alpha-helical proteins as quanta of the intramolecular C = 0 stretching mode (Amid-I vibration). Indeed, Amide-I
132
vibrational energy might become self-trapped through an interaction with lowfrequency longitudinal acoustic phonons which arises because the Amid-I energy depends on the length of the hydrogen bond between the peptide groups.
The localized spatial region where the energy is trapped can be considered as a combination of intrapeptide and deformation excitations. It can propagate, and thus a soliton-like mechanism for energy transport is possible. Mathematical description of Davydov model was considered in Sec. 3.6. We can add here that many attempts to improve the model are known. The works 94 ' 40 ' 53 ' 95 ' 96 are among them. The model is well known in scientific community, but due to the absence of any reliable experimental basis, the validity of the model is still intensively discussed.97'98'99'100'101
5.9
Energy transfer along the protofilament in the tube of microtubulin
It is well known that neurons and other cells are comprised of protoplasm which in turn consists of membranes, organelles, nuclei, and the bulk interior medium of living cells: cytoplasm. The latter contains extensive arrays of linear polymers responsible for organization and integration of the cell behaviour. The most important of them are networks of microtubules, arrayed in parallel and interconnected by filamentous strands. The microtubules are hollow cylinders 25 nm in diameter whose lengths may span meters in some mammalian neurons 102 (Fig. 27a). The walls of the cylinders are assembles of 13 longitudinal protofilaments. Each of the protofilaments is a series of subunit protein known as tubulin. Each tubulin subunit is a dimer which consists of two slightly different classes of monomers known as a and /3 tubulin (Fig. 27b). Each dimer may be viewed as an electric dipole. The origin of the dipole character is in the fact that one binds 18 calcium ions ((7o2) per dimer. The tubulin dimer subunits are arranged in a hexagonal lattice which is slightly twisted. To explain the process of self-assembly of microtubules, Sataric et al proposed to use the nonlinear model. Taking into account that the process can occur when microtubules are in dynamical equilibrium in aqueous solutions of dissolved monomers, they assumed that in the course of self-assembly, the attachment of one dimer at the (+) end of a protofilament produces one torsion solitonic impulse (Fig. 28). This solitary wave propagates then through the corresponding protofilament. When the soliton reaches the ( —) end, its energy can be employed to detach the furthest dimer in protofilament. Fig. 29 shows that if the microtubule is free in the cytoplasm the process described above will lengthen the (+) end while the (—) end shortens, i.e. the microtubule will move towards the (+) end.
133
Figure 27: A scheme of microtubule (a) and a tubulin dimer subunit (b).
Figure 28: A schematic representation of solitonic role in the process of energy transfer from polymerized to depolymerized dimer.
134
Figure 29: A schematic representation of "treadmilling" assembly from tubulin dimers which could take place at the (+) end and with disassembly at the other extremity with liberation of tubulin dimers.
The dynamics of the model system can be described mathematically by the Hamiltonian
where Bn is the torsion angle of the n-th dimer; Ln is the corresponding an-
gular momentum; A,B,C,k,J are constants.
Hamiltonian Eq. 50 describes
protofilament as a chain of dimers which are capable of electric oscillations. The oscillating segments which form giant dipoles interact among themselves through the forces which are proportional to the inverse cube of the separation
distance between the dipoles. In the continuum limit, this model is reduced to one of the modifications of the model
135
5.10
Proton conductivity in biomembranes
According to the modern point of view, biological membranes are made of a mixture of lipids and proteins.104 The way in which these proteins and lipids are assembled in biological membranes is shown in Fig. 30. These lipids form an "oily" fluid bilayer in which the adherent proteins are free to float at will. Some of these proteins span the thickness of the bilayer. They are named "integral proteins". Other proteins are electrostatically attached to either the inner or outer surfaces of the bilayer; they are referred to as "peripheral proteins". According, to some integral proteins with a suitable fraction of hydrogen
bonding sidegroups, such as the hydroxyls of serine, threonine, tyrosine and the carboxyls of aspartic and glutamic acids, may fold in the hydrophobic lipid environment of the membrane in such a way as to form the chains of about 20 or more hydrogen bonds that span the membrane and the conduct protons across at. A fragment of the chain is shown schematically in Fig. 31. Since the anions always contain the oxygen atoms involved in a H bond with proton, we henceforth designate them as "oxygens" but their real rather complex structure must not be forgotten. The transport of protons in hydrogen-bonded chains is a long-standing problem. An important property of these chains is that the proton potentialenergy curve in each hydrogen bond has the form of a double well with two minima corresponding to the two equilibrium states of a proton between two neighboring oxygen atoms (Fig. 32). It is assumed that protons are transferred by jumps from one minimum to another along hydrogen bonds, i.e. by migration of ionic defects. A nonlinear model describing proton motion in hydrogen-bonded chains has been proposed by Antonchenko et <j/.loe They suggested that the remaining part of the chain, including the oxygen atoms does not behave as a fixed substrate and the lattice distortion around the ionic defects has to be considered. The basic idea of the model is that the coupling between oxygen atoms and protons can provide a mechanism which changes the potential barrier that protons have to overcome to jump from one minimum to another and makes their motion easier. So, the Hamiltonian of the model is the sum of three contributions
The first one is the proton part
136
here un is the displacement of the n-th proton with respect to the center of the oxygen pair; m is the mass of the proton; V(un) = e o (l —un/uo^ *s '^e double-well potential; £0 is the potential barrier; 2uo is the distance between the two minima; the last term represents the harmonic coupling between two neighboring protons with the characteristic frequency Wi. The second contribution is the oxygen part
where pn is the relative displacement between two oxygens in a pair; M is the mass of oxygen; fi0 is *ne frequency of the optical mode which is involved; the last term describes the harmonic coupling between neighboring oxygen pairs.
The third contribution describes the interaction between two subsystems
where x
ls
the strength of the coupling. The equations of motions resulting from the Hamiltonian have the form
In the case of strong coupling, a continuum approximation can be used, and Eq. 55 transforms to
where x = na is the continuum space variable; a is the lattice spacing; Co = au>i is the sound speed in the proton sublattice; Vo = afli. In the general case, solutions of Eq. 56 have not been found yet. However, in the particular case, when the coupling terms are neglected, soliton-like solutions of the equations can be easily found. These solutions could be interpreted as those describing the transport of protons.
137
Figure 30: A schematic representation of the model of biomembrane. It
consists of a lipid bilayer containing peripheral and integral proteins.
Figure 31: A fragment of a chain of hydrogen bonds.
138
Figure 32: A doubly periodic potential-energy curve.
6
Concluding remarks
In this review we presented different aspects of nonlinear dynamics of biopolyrners. First, we described the main theoretical results which led us to the conclusion that bjopolymers are an appropriate medium for excitation and propagation of nonlinear waves. We must note, however, that most of the models used are oversimplified. To construct a more realistic model, we should take into account: 1) a more detailed picture of the internal structure and mobility; 2) the effect of water and ion structure around biopolymers; 3) inhomogeneity of the internal structure; 4) statistical properties of nonlinear excitations (solitary waves) appearing in biopolymers. Second, we described different attempts to interpret experimental data in the framework of the nonlinear conception. We can conclude that this aspect of the problem is not so successful as the theoretical one: some of the results described above cannot be considered as a convincing evidence for the existence of nonlinear conformational waves in biopolymers because they admit alternative interpretations, and other results are required to be checked. Third, we described many possible applications of the nonlinear conception. This aspect of the problem could be considered as very perspective, because it might give an universal mechanism which could explain the role of dynamics in the functioning of biomolecules. However, these results are
considered now only as hypothetical, because they should be confirmed experimentally. 139
Acknowledgments I wish to thank prof. Alwyn Scott (University of Arizona, USA) for useful discussions and valuable comments on the manuscript.
References 1. A.S.Davydov and N.I. Kislukha, Phys. Status Solidi (b) 59, 465 (1973).
2. S.W. Englander et al, Proc. Nail. Acad. Sci. USA 77, 7222 (1980). 3. A. Fernander, Physica A 167, 338 (1990). 4. G. Carery et al, CRC Grit. Rev. Biochem. 3, 141 (1975).
5. P.G. Debruner and H. Frauenfelder, Annu. Rev. Phys. Chem 33, 283 (1982). 6. M. Karplus, Adv. Biophys. 18, 165 (1984). 7. H. Frauenfelder in Structure and Motion: Membranes, Nucleic Acids and Proteins, eds. E. dementi et al (Adenine Press, New York, 1985). 8. H. Fritzsche, Comm. Mol. Biophys. 1, 325 (1982). 9. J.W. Keepers and Th.L. James, J. Am. Chem. Soc. 104, 929 (1982). 10. W.R. McClure, Annu. Rev. Biochem. 54, 171 (1985). 11. L.V. Yakushevich, Molecular Biology, 23, 652 (1989) [in Russian]. 12. J.A. McCammon and S.C. Harvey, Dynamics of Proteins and Nucleic Acids (Cambridge Univ. Press, Cambridge, 1987). 13. J.A. Krumhansl and D.M. Alexander in Structure and Dynamics: Nucleic Acids and Proteins, eds. E. Clementi and R.H. Sarma (Adenine Press, New York, 1983). 14. A.S.Davydov, Uspekhi Fiz. Nauk 138, 603 (1982) [in Russian].
15. R.V. Polozov and L.V. Yakushevich, J. Theor. Biol 130, 423 (1988). 16. A.C.Scott et al, Proc. IEEE 61, 1443 (1973). 17. L.V. Yakushevich in Methods of Theoretical Physics and Their Applications to Biopolymer Science (Center Biol. Res. Acad. Sci. USSR, Pushchino, 1990).
18. A.C. Scott, Am. J. Phys. 37, 52 (1969). 19. L.V. Yakushevich, Studia Biophys. 121, 201, (1987). 20. S.Yomosa, Phys. Rev. A 30, 474 (1984). 21. S. Homma and S. Takeno, Progr. Theor. Phys. 72, 679 (1984).
22. Ch.-T. Zhang, Phys. Rev. A 35, 886 (1987). 23. L.V. Yakushevich, Phys. Lett. A 136, 413 (1989). 24. L.V. Yakushevich, Studia Biophys. 140, 163 (1991).
25. J. Gaeta, Phys. Lett. A 143, 227 (1990). 26. S.N. Volkov, Preprint ITP-84-52P (Inst. Theor. Phys., Kiev, 1984).
140
27. A. Khan et al, Bull Math. Biol. 47, 783 (1985). 28. L.A. Ostrovskii and A.M. Sutin, /. Appl. Math. Mech. 41, 543 (1977).
29. V. Muto et al, J. Biomol. Struct. Dyn. 5, 873 (1988). 30. M.Toda, Phys. Rep. C 18, 1 (1975). 31. P.L. Christiansen et al, Preprint (Tech. Univ. Denmark, 1990). 32. V. Muto, Nanobiology, 1, 325 (1992). 33. J.A. Krumhansl et al in Structure and Motion: Membranes, Nucleic Adda and Proteins, eds. E. dementi et al (Adenine Press, New York, 1985). 34. Z. Zhang and W. Olson in Proceedings, 6th Annual Conference on Nonlinearity of Condensing Matter, eds. A.R. Bishop et al (Springer, Berlin, 1987).
35. Ch.-T. Zhang, Phys. Rev. A 40, 2148 (1989). 36. J.-X. Xiao et al, J. Phys. A 20, 2425 (1987). 37. S.N.Volkov, J. Theor. Biol. 143, 485 (1990).
38. L.V. Yakushevich, Physica D 79, 77 (1994). 39. A.S.Davydov and A.D. Suprun, it Ukrain. Phys. J. 19, 44 (1974) [in Russian], 40. V.K.Fedyanin and L.V. Yakushevich, Int. J. Quant. Chem. 21, 1019 (1982). 41. M. Nakanishi et al, FEBBS Lett. 81, 61 (1977).
42. M. Nakanishi and M. Tsuboi, J. Mol. Biol. 124, 61 (1978). 43. C. Mandal et al, J. Mol. Biol. 135, 391 (1979). 44. V.K.Fedyanin et al, Studia Biophys. 116, 59 (1986). 45. V.K.Fedyanin and V. Lisy, Studia Biophys. 116, 65 (1986). 46. M.D. Frank-Kamenetskii, Molecular Biology 17, 639 (1983) [in Russian].
47. M.D. Frank-Kamenetskii, Nature 328, 17 (1987). 48. 49. 50. 51.
M. Gueron et al, Nature 328, 89 (1987). T. Weidlich et al, J. Biomol. Struct. Dyn. 8, 139 (1990). S.J.Webb, Phys. Rep. 60, 201 (1980). V.S.Bannikov et al, Dokl. Akad. Nauk USSR 253, 479 (1980) [in Russian] .
52. V.S.Bannikov and S.B. Rozhkov, Dokl.
Akad.
Nauk USSR 255, 746
(1980) [in Russian].
53. A.C. Scott, Phys. Lett. A 86, 60 (1981). 54. P.S. Lomdahl et al, Phys. Lett. A 92, 207 (1982). 55. S.P. Layne et al, Proc. Natl. Acad. Sci. USA 82, 7599 (1985). 56. K.G. Brown et al, Proc. Natl. Acad. Sci. USA 64, 1467 (1972).
57. T. Weidlich and S.M. Lindsay, /. Phys. Chem. 92, 6479 (1988). 58. T. Weidlich et al, J. Phys. Chem. 92, 3315 (1988). 141
59. H. Urabe and Y. Tominaga, J. Phys. Soc. Jpn. 50, 3543 (1981). 60. H. Urabe and Y. Tominaga, Biopolymers 21, 2477 (1982). 61. H. Urabe ei at, J. Chem. Phys. 78, 5937 (1983).
62. 63. 64. 65.
J.W. Powell ei al, Phys. Rev. A 35, 3929 (1987). L.V. Yakushevich, SPIE 1403, 507 (1990). S.J. Webb and A.D. Booth, Nature 222, 1199 (1969). M.L.Swicord and C.C. Davis, Biopolymers 21, 2453 (1982).
66. M.L.Swicord and C.C. Davis, Bioeleciromagneiics 4, 21 (1983).
67. G.S. Edwards ei al, Phys. Rev. Lett. 53, 1284 (1984). 68. V.Ya. Maleev et al, Biopolim. Kletka 2, 35 (1986). 69. C. Gabriel et al, Nature 328, 145 (1987). 70. K.R. Forster et al, Biophys. J. 52, 421 (1987).
71. R.A.Garibov and A.V. Ostrovskii, Uspekki Sovrem.
Biol.
110, 306
(1990) [in Russian].
72. L.L. Van Zandt, Phys. Rev. Lett 57, 2085 (1986). 73. L.L. Van Zandt and M.E. Davis, /. Biomol. Struct. Dyn. 3, 1045 (1986).
74. M.E. Davis and L.L. Van Zandt, Phys. Rev. A 37, 888 (1988). 75. V.K.Fedyanin and L.V. Yakushevich, Studia Biophys. 103, 171 (1984). 76. K.F. Baverstock and R.D. Cundall, J. Radial. Biol. 55, 151 (1989). 77. P.R. Selvin et al, Science 255, 82 (1992). 78. O. Edholm et al, Quart. Rev. Biophys. 17, 125 (1984).
79. P. Jensen ei al, Phys. Lett. A 95, 204 (1983). 80. H.M. Sobell in Biological Macro-molecules and Assemblies, eds. F.A.Jurnak and A. McPherson (John Wiley & Sons, New York, 1984).
81. 82. 83. 84.
L.V. Yakushevich, Nanobiology 1, 343 (1992). M.Salerno, Phys. Rev. A 44, 5292 (1991). M. Salerno, Phys. Lett. A 167, 49 (1992). M.Salerno and Yu.S. Kivshar, Phys. Lett. A 193, 263 (1994).
85. J.J. Ladik et al, Int. J. Quant. Chem. QBS Suppl. 5, 35 (1978). 86. J.J. Ladik in Structure and Motion: Membranes, Nucleic Acids and Proteins, eds. E. Clementi et al (Adenine Press, New York, 1985). 87. A.R. Fersht, TIBS 12, 301 (1987). 88. M. Peyrard and A.R. Bishop, Phys. Rev. Lett. 62, 2755 (1989). 89. M. Peyrard and A.R. Bishop in Nonlinear Coherent Structures, eds. M. Barthes and J. Leon (Springer-Verlag, Berlin, 1990). 90. D.E. Green, Science 181, 583 (1973). 91. A.S.Davydov, J. Theor. Biol. 96, 379 (1977). 92. L.Pauling and R.B. Corey, J. Am. Chem. Soc. 72, 5349 (1950). 93. L. Pauling ei al, Proc. Nail. Acad. Sci. USA 37, 205 (1951).
142
94. V.K.Fedyanin and L.V. Yakushevich, Int.
J. Quant.
Chem.
16, 215
(1979). 95. H. Motschmann et al, J. Phys. Condens. Mater. 1, 5083 (1989).
96. 97. 98. 99.
S.Ichinose, Phys. Status Soiidi (b) 155, 467 (1989). D.W. Brown et al, Phys. Rev. A 33, 4110 (1986). A.C. Scott, Physics of Many Particle Systems 12, 33 (1987) [in Russian]. M.A. Collins, /. Chem. Phys. 88, 399 (1988).
.00. L01. 102. LOS. 104.
L. Cruzeiro et al, Phys. Rev. A 37, 880 (1988). M.J.Skrinjar et al, Phys. Lett. A 133, 489 (1988). S. Rassmussen et al, Physica D 42, 428 (1990). M.Sataric et al, J. Mol. Electronics 6, 63 (1990). J.H. Byrne and S.C. Schultz in An Introduction to Membrane Transport and Bioelectricity (Raven Press, New York, 1988). LOS. J.F. Nagle and H.J. Morowitz, Proc. Nail. Acad. Sci. USA 75, 298
(1978). L06. V.Ya. Antonchenko et al, Phys. Status Soiidi (b) 115,631 (1983). L07. M. Peyrard et al, Phys. Rev. A 36, 903 (1987).
143
THE GROUND STATE OF FROHLICH ONE-DIMENSIONAL FERMI-POLARONS E.A. KOCHETOV Joint Institute JOT Nuclear Research Bogoliubov Laboratory of Theoretical Physics
141980 Dubna, Moscow region, Russia We study a one—dimensional system of N electrons in an ion crystal described by the Frohlich N—particle H a m i l t o n i a n . The formation of a system of two particles with opposite spins, i.e. Frohlich bipolarons is shown to be the most energetically preferable in the limit of strong electron—phonon coupling.
1
Introduction
Recent attempts at the microscopic interpretation of high— temperature superconductivity (HTSC) have aroused interest in the model of polarons of a large radius, i.e. the Frohlich polarons. A superconducting state in this model is realized as a Bose—condensate of bipolarons.1 Since a polaron arises only in the strong electron-phonon coupling limit, the properties of the polaron collective state resulting in superconductivity can be studied on the basis of data on the ground and weakly excited levels of a set of N electrons strongly correlated by a common phonon cloud. However, in view of obvious technical difficulties, one usually studies the properties of a single bipolaron, assuming its parameters to determine the properties of the collective motion such as the temperature of transition into a superconducting state.1'2 As for the mechanism of bipolarons formation and properties of the spectrum of elementary excitations in the vicinity of a bipolaron condensate, these problems still remain to be solved (waiting for their investigation). The ground state of a strongly coupled one—dimensional polaron system is shown in this note to be a condensate of bipolarons. We prove this statement within the variational approach typical of the problems with strong coupling in which the results are obtained by comparing upper estimations of energies. It should be pointed out that bipolaron clusterization of the wave function arises from strong effective repulsion caused by the Fermi-statistics of particles. Direct Coulomb repulsion is a weaker effect and does not influence the qualitative picture. For the Bose—statistics of polarons, it is just the Coulomb repulsion that provides the energy stability of multipolarons, the latter having a different number of particles. Note also that the determination of the ground state of an n dimensional 144
polaron system for n > 1 is technically a more complicated problem since the degeneration of eigenfunctions of the approximating Hamiltonian grows rapidly with n. The one-dimensional motion is considered as motion in a distinguished direction in a 3 dimensional crystal. Such an isolated direction can occur when a strong electromagnetic field is applied to a sample. 4'5
2
Hamiltonian of the system
The Hamiltonian of a system of charged particles in a quantized scalar field in one dimension is of the form
Here we introduce the following notation:
• V"(£) = V'(r( a! ) i s a quantized Schrodinger field with excitation quanta describing charged Fermi-particles; the z-component of spin a takes the values ±1. The particles are localized in one dimension:
• ak and a*, are quantized amplitudes of the phonon field corresponding to the optical branch of lattice vibrations with frequency uk and wave vector k:
• when linear dimensions L —v oo, we have
In what follows we will use dimensionless units, setting u>k = u> = m — 1. Then, in accordance with Ref. 6, we can put
where a is a dimensionless coupling constant.
145
To take account of the effect of polaron structure in the first approximation, we consider the Lee-Low-Pines transformation that dresses the operators i/> in a phonon cloud:
where
Here /j. and /£ are c-numbers to be determined from the condition of energy minimum. The {/-transformation separates the component representing an effective potential in the first approximation:
from the quantized amplitudes oj. and besides,
where «/ = ds/dx. Since the transformed operators V1 (£) anc' lACO describe the production and annihilation of structure excitations (polarons), it is natural to expand them into the complete set of square—integrable functions on the real axis:
where {>i(x)} is the set of functions complete on (—00, oo), and
We take the system {$i} to be a set of eigenfunctions of a harmonic oscillator with frequency Q that will be considered as a variational parameter:
Then operators a\a and a^a are operators of creation and annihilation of excitations from the vacuum state, i.e. the ground state of the Hamiltonian
146
As a trial ground state of the system Eq. 1, we choose the state
where \N > is the ground state of the Hamiltonian Eq. 3 for a fixed number of particles, N, and |{ajb} > is a coherent state of the phonon field; the functions ak will be determined from the condition of energy minimum. Thus, averaging Eq. 1 over the trial state Eq. 4 we obtain the ground-state energy as a function of fi, a/, and /£.
3
Formation of bipolaron Bose-gas
When particles obey the Bose-statistics, the state \N > is a condensate of N particles into the ground state <^ o (z). For Fermi-particles, the state \N > is a result of subsequent filling of states in accordance with the Pauli principle:
where N = 2k and the state |(Ti)i > is the i-th excitation of a one-dimensional oscillator with energy f^ filled with two particles of opposite spin projections.
(For structureless particles, states are filled with momenta starting from zero to the Fermi—momentum pp •) Averaging Eq. 1 over the states Eq.4 and minimizing the resulting expression with respect to o/t and fk, we obtain the upper estimation of the ground—state energy
where we have neglected direct two-particle repulsion and introduced the following notation:
Calculating the averages in Eq. 6 with Eq. 5 and minimizing the result with respect to fi, we obtain in the weak coupling limit
147
which signifies the independence of polarons in the first in a approximation, and in the strong coupling limit
where
and
is a generalized Laguerre polynomial. As an example, consider systems of two and four particles. Taking into account that
we find from Eq. 7
Since the ground—state energy of a one—dimensional polaron, according to Eq. 6, equals
it can be seen that
but
Thus, the state of two uncoupled bipolarons is energetically more preferable than the bound state of four polarons. In the case of interest for physics, when the number of particles is asymptotically large (N —<• oo), using the Trikomi expansion for Laguerre polynomials, we obtain
148
where J\(x) is the first-order Bessel function. Taking into account that
we find from Eqs.
8 and 7
i.e.,
Therefore, the bound state of the system of 2ifc Fermi—polarons is energetically instable with respect to the disintegration into k free bipolarons. Thus, the effect of strong electron-phonon interaction in the one-dimensional Fermi-system of polarons results, in the first approximation, in the formation of the Bose—gas of bipolarons. The spectrum of elementary excitations determining physical (macroscopic) properties of the system should now be determined with respect to a new vacuum, i.e. the condensate of bipolarons.
1. D. Emin, Phys. Rev. Lett. 62, 1544
(1989).
2. D. Emin and M.S. Hillery, Phys. Rev. B 39, 6575 (1989). 3. E.A. Kochetov and M.A. Smondyrev, Tear. Mat. Fiz. 85, 74, (1990) [in Russian].
4. E.A.
Kochetov E.A.
et al, Z. Phys. B 89, 177 (1992).
5. M.A. Smondyrev et al, Europhys. Lett. 19, 519 (1992). 6. F. Peeters and M.A. Smondyrev, Phys. Rev. B 43, 4920 (1991).
149
MEAN-FIELD THEORY OF THE SOLVATED ELECTRON AND DIELECTRON STATES G.N. CHUEV Department of Quantum-Mechanical Systems, Institute of Mathematical Problems of Biology, Russian Academy of Sciences, Pushchino, Moscow Region, 14S29S, Russia The self-trapped electron and dielectron states are considered in a disordered medium. The model is based on a variational mean-field estimation of path integrals. As a result, the problem is reduced to evaluation of the Shrodinger-like equation. The asymptotic behavior of the effective potential of this equation is investigated for the aolvated electron as well as for the dielectron (bipolaron) state. The statistical treatment of the environment allows us to consider the effect of environment pressure, temperature and added salts concentration on the electron states. These effects are estimated for the nonadiabatic electron transfer and for the shape of
the absorption spectrum, for its half-width and maximum. The model is compared with other theories of the self-consistent trapped electron states in disordered solidstate and liquid systems. The possibilities of the model are discussed for a wide range of problems of the solvated electron theory.
1
Introduction
The solvated electron problem has been studied for decades. At present, there are techniques allowing one to obtain sufficient experimental data on the solvated electron behavior in different media l. The solvated electron is also the object of intensive theoretical modeling (see reviews 2 ' 3 and references therein). The review is devoted to a solvated electron model, namely, a mean-field theory of the solvated electron and dielectron states in a disordered medium. Note that approaches based on the self- consistent state concept are actively investigated for an excess electron in ionic crystals and polar semiconductors (polaron and bipolaron models) 4 ' 5 , in heavily doped semiconductors 6 ' 7 > 8 ' 9 ) in dense gases 10, in nonpolar fluids ll . 12 > 13 . 14 ] m molten salts 1 5 > 1 6 ) and for the hydrated electron 17. We focus here on the original interpretation of the concept 18 and compare it with other methods. The developed solvated electron models are briefly surveyed in Sec. 2. The Sec. 3 deals with the statistical treatment of the electron state. The problem is formulated in Sec. 3.1 where the terms describing the solvated electron state are defined. The statistical description of the electron environment is examined in Sec. 3.2 where an effective action of the electron is derived by correlation functions over the medium density. In Sec. 4 a key mathematical method based on the reference action method is formulated. The general approach of the
150
method is described in Sec. 4.1. in Sec. 4.2 it is used to derive the Shrodinger equation for the solvated electron state in the molecular fluctuating medium. The physical nature of the effective interaction potential between the electron
and the medium is investigated in Sec. 4.3 where the semicontinual treatment of the potential is given. The mean-field consideration of the dielectron (bipolaron) state is studied in Sec. 5. In Sec.6 the model is used to estimate the electron transfer and the absorption spectrum. Particularly, the shape of the
absorption spectrum is studied in Sec. 6.1. The effect of environment temperature, pressure, and added salts concentration on the solvated electron state is estimated in Sec. 6.2 for the gaussian form of the absorption spectrum. The nonadiabatic electron transfer is examined in Sec. 6.3 on the basis of the mod-
el. In Sec. 7 our theory is compared with other models of the electron state in disordered solid-state systems (Sec. 7.1) and in liquids (Sec. 7.2). The conclusion is given in sec. 8 where the possibilities of the model are briefly viewed. The appendices with deducation of the main formulas are given at the end of the paper.
2
Models of the solvated electron
In terms of theoretical and computer modeling of solvated electron, the following approaches can be highlighted: a.) Polaron models. The main part of these models is based on the Pekar approach 4 . It should be noted, that this model was the first to be used in the russian scientific school 3 > 19 ' 20 . The model is based on the assumption that the self- localized electron state is due to the strong interaction between an excess electron and the polarization field induced by the electron. As a result, the self- consistent
electron state forms. This state is determined by macroscopical parameters of the medium, i.e. by the medium dielectric constants. The advantages of the model are its physical simplicity and clearness. However, its application
to real systems is very difficult, since the model does not consider the detailed molecular structure of the electron environment. The polaron models cannot also be used for the correct estimation of the thermodynamic effects (pressure, density of the medium, etc.) on the electron state. b.) Models based on the quantum- chemical calculations. The models used different modifications of quantum- chemical methods (semiempirical 21, ab initio 22, cluster 2 3 ) to calculate the localized electron state and its molecular environment. The models seem to be good for the detailed molecular structure effects. But the dependence of the electron state on the environment can only be obtained numerically, which does not allow
151
one to define the physical picture of the electron behavior. The calculation of
thermodynamic effects is likely to be impossible for these models. c.) Semicontinual self-consistent models. These models ' are the combination of the two previous types of approaches, they treat the discrete molecular structure of the environment (coordination number, size and charge of the environmental molecules) as well as the self-consistent polarization of the medium as a. whole, induced by the excess charge. Moreover, the short-ranged part of the electron- medium potential has the cavity form, while the long-ranged part is considered in the polaron approximation. As a rule, these models estimate the thermodynamic effects in accordance with the experiment 2 . The shortcoming of these models is a set of semiempirical parameters (radius and depth of the cavity), whose definition is rather arbitrary. d.) Models based on the path integrals treatment.
These models calculate high- dimensional integrals statistically and based on the Monte Carlo method. They are actively investigated at present 25 ' . Recently they have been applied to the bipolaron (dielectron) state 27 . There is a number of the methods allowing one to estimate correctly the expected values determining the state of a quantum particle in the classical environment. Since the environment is considered as a discrete molecular structure, the quantumchemical methods can be incorporated into the calculation scheme. The thermodynamic effects of the environment ( pressure, density) can also be also calculated within the method. But these models require modern high- performance computers and huge volume of calculations. Method does not enable to estimating the influence of numerical discrepancy in the input data on the results. e.) Mean-field models of the solvated electron. The basic idea of the mean-field models is to combine the merits of the two types of the approaches, i. e. the physical simplicity and clearness of the variational estimations for the polaron model and the possibility to consider statistically the detailed molecular structure by the path integrals. The idea was first stated for the solvated electron in 28 as the RISM-polaron theory. This theory was used as a base in numerous works 11'12'14'15'17'29'30'31. The liquid structure is treated by the reference interaction site model (RISM) in these
works. Another type of the mean-field models is connected with the solution of the effective Shrodinger equation 13.18.32'33 for the ground solvated electron state. We present here the original interpretation of the model 18 . The initial formulation of the problem is defined by the pair- wise inter-
action electron-isolated site potential allowing one to treat the environment microscopically. The isomorphism of the path integrals in quantum-mechanical
152
and statistical statement of the problem (see Fig.l) permits one to use the correlation function formalism and to include into consideration the quantum effects as well as the statistical influence of the medium. The simple mean-field variational estimations reduce the problem of the self-consistent free energy functional, which results in the Shrodinger-like equation for the electron wave functions. The application of the model may be wide and include the calculation of the absorption spectrum ' as well as the dynamics of electron mobility 12 . The comparison of the model and other theories of the self-localized electron in disordered medium is given in Sec. 7.
3 3.1
The statement of the problem Formalism of statistical treatment
The quantum particle state is defined statistically by the density matrix /j(r, r',/9) depending on temperature T = I//? and denoting the transfer probability from the state r to the state r' . The density matrix also depends on the time t for non equilibrium states. If we know the density matrix, we can calculate different averaged values
determining the electron state: characteristic size of the electron state, its averaged kinetic and potential energy, the influence of the weak external field, the electron mobility and magnetic susceptibility, the form of the absorption spectrum, etc.. One of the main quantities of the electron state is the partition function, which is a convolution integral of the density matrix
Below we derive a set of formulas for the partition function but not for the density matrix. It is due to awkwardness of the expressions for the density matrix. For quantum systems, the density matrix can be considered as an infinitydimensional path integral 34
153
here S is the action of electron, and symbols denote
In general, the problem of the path integral numerical calculation for a quantum particle can be reduced to the isomorphic many- particle problem of the ring polymer35 (Fig.l). There are effective computational methods for this problem, which perform high-dimensional integration by the Monte- Carlo or quantum molecular dynamic method
Figure 1: Isomorphism of problems of electron and ring polymer in solvent. Black circles denote electron density distribution and the corresponding ring polymer structure, while large circles present surrounding solvent molecules.
When the electron interacts with environment, the density matrix depends on the environment state. If we consider classical fluids as a medium, the partition function Z of the solvated electron in the classical fluid can be written as
154
the usual configurational integral over medium coordinates R n and the functional integral over the electron coordinate T(T). Note that in the general case the environment must be taken into account. We suppose that the degrees are connected with the displacements of the closed electron shells of the molecules. The displacement due to the shell polarization also offered for simplicity and does not restrict the method. Then, the partition function Z can be written
Here Se is the action of the electron in the medium, which can be calculated if we know the electron- medium potential, and M; is the dipole momentum of the i-th particle of the fluid, which is due to the displacement of the electron shell. We divide the interaction between fluid particles into the classical part U0, which is independent of the electron shells displacement, and the action Sjy| attributed to the quantum degrees of freedom
The first and the second terms are the kinetic and potential dipole energy respectively, while the last term is due to the interaction between dipoles. Here, we consider the simplest Drude model of the electron shell, which imply that dipoles oscillate with equal frequency o>o. We assume that the instantaneous part of the dipole equals zero, the inclusion of this part into consideration
does not change the result but complicates the derivations of formulas. The last term of (6) is proportional to the dipole- dipole operator T(r) = ®(T —
p f c )VV|r|
, where 0 is the step function and r^ is the hard core diameter of
a molecule. We also divide the electron action Sc into two parts, the first one Sj^c is independent of the electron shell displacements, while the second Sf^e is due to the interaction between the excess electron and closed electron shells. In general, the latter can be intricately connected with the dipole momentum of the fluid particle, but we assume that it is proportional to the dipole momentum
155
The action Sc of the electron in the medium can be calculated if we know the electron- medium potential. We present the potential as a sum of the pairwise electron-isolated site interactions. In Eq. (7) m is the electron mass, and u is the pair- wise potential, which can be estimated by scattering at an isolated atom. In some cases, approximations of the potential, such as the hard sphere potential can be used. In fact, u in Eq. (7) can depend on the additional indices denoting the sort of molecules or the type of sites for the same molecule. To simplify the formulas, we drop these indices. All the expressions can be easily generalized. We will be interested in the case when there is a gap between the energy of the excess electron and bound electrons. In other words, the state of the solvated electron is different from the states of closed electronic shells (the relation with the band structure in liquids will be discussed in Sec. 7.2). Thus, our problem is transformed to the calculation of the density matrix for the solvated electron. On the whole, this problem consists in the evaluation of the integral (5) having N3 classical and (JV + 1)3 quantum degrees of freedom, but the solvated electron state differs from the bound electrons. The dimension of (5) is too huge, thus the theoretical problem is to reduce the dimensionality of the integral, retaining all the interesting physical properties of the system. In some cases, it can be done by extraction of the degrees of freedom, which strongly interact with the solvated electron. In other cases, the system reduction is due to the choice of action form allowing to integrate (5) analytically for some degrees of freedom (for quadratic form of the action ). Sometimes, it can be possible due to low dimension of space (see 8 ). From the theoretical viewpoint, the successful employment of the path integrals method in statistical physics is due to the fact that the production functional of the system can be obtained in closed form by the path integrals37. By this, its functional derivatives determine a set of equations for the correlation functions of the system in the compact form. This treatment allows one to make a theoretical analysis of the statistical behavior of the system. 156
3.S
Description of medium by density correlations
The form of the electron action (6) is quadratic over dipole momentum. Therefore these degrees of freedom can be analytically excluded, and action (6) can be reduced by the effective potential (see Appendix 1)
-j
where «^, teraction
is the nonlocal effective potential due to the electron - dipole in-
Here A±j are the Fourier elements of matrix
Thus, the problem of the solvated electron in the quantum polarizable fluid can be treated as the problem of the electron in some effective fluid with potential (9). It should be noted that effective action (9) is similar to the electron- phonon interaction. (If the medium interaction potential Ug is harmonica!, phonon coordinates can be introduced. Assuming the linear
dependence of the electron- particle potential on the phonon coordinates, we can obtain the Pekar-Frohlich hamiltonian 4'38 from (9).) The next stage of the reduction is a short-cut description of the medium by a set of correlation functions. Let us introduce the equilibrium correlation functions of the density medium Xn defined as 39
Here Xi (R.) >8 tne average medium density, while Xz(H-i R-') denotes the densitydensity correlation function connected with the structure factor. The correlation function can be obtained from the analytical statistical theory of liquids or 157
by molecular modeling . Some information about this function can be found experimentally for simple liquids. We can determine Xs(K-i H/> R.") in a similar way. Figure 2 plots schematically the distance dependence of density-density
correlation functions and potential u(r~). This potential includes short-range repulsive part u, and long-range attractive part u\. We introduce the generalized Mayer functions / of the first order and / of the second order for the electron,
Then, the partition function can be transformed (see Appendix 2) by effective action S e , which only depends on the electron path and the density correlation functions of all the orders. In general, we may consider such higher correlation functions over medium density as we need. But in many practical cases, one restricts the molecular structure treatment by the second order cor-
relation functions, and assumes that xs = • • • = 0. This is common practice in statistical physics 39>4° to reduce the dimension of the studied system. As a result, we obtain
In expression (14), the symbol * denotes the convolution integration
158
Figure 2: Distance dependence of density-density correlation functions (a) (1 for gas, 2 for liquid, and 3 for solid state) and potential u(r) (b).
Formulas (9)- (14) determine the effective interaction between an excess electron and the medium by the correlation functions of the medium density, which are the statistical quantities while the electron- particle potential
is determined by the quantum-chemical calculations.
In some problems of
disordered systems 8 , the electron - medium potential is the statistical quantity, and its different approximation are used . From our viewpoint, relation
(14) is more convenient, since it uses independent characteristics of the medium and electron-particle interaction. Therefore, they can be defined within independent approaches. The density correlation functions can be obtained
by statistical theory, while the pair- wise electron- particle potential may be gained from quantum- chemical calculations. Thus, if we ignore nongaussian correlations, we may reduce the dimension of the configurational integral to the two-dimensional integrals. As a whole, our problem is to calculate the path integral (14) where effective action is 159
nonlocal in time and space.
4 4-1
The effective potential for the solvated electron Formalism of the reference action
In fact, the integral of the type (14) is analytically calculated only for a special form of the action . There are a few mathematical methods allowing one to calculate the path integrals. These are the perturbation methods and the saddle point method for functional integrals. Both the methods are based on the formalism of the reference action 34 . Using a reference action So, we can estimate the partition function as
where the symbols denote
If the partition function Zg(Tn) is known, we can include the high order corrections using the perturbation methods and thereby ascertain the inequality. The variational estimation of (15) is another approach analogies to the saddle point method. Relation (15) is valid for any real 5 o (r n ), however, the estimation of the partition function by (15) will be optimal, if we fit the parameters Fn of So to maximize the right side of (15). Hence, we can replace the order of integration by an electron paths and medium coordinates and reduce the problem to calculation of the averaged Mayer function
We can define < /(R)/(R') > and < f(R,R') > in a similar way. Usually, the quadratic form of the reference action is used 34 > 36 ) it enables ones to calculate the integrals (16) analytically. In the case when the electron strongly interacts with the medium and forms a localized state, the electron state can be calculated in the mean- field approximation by the reference action which is determined in self-consistent manner, (see Fig.3).
160
Figure 3: Instantaneous configuration of an excess electron in polar liquid obtained by the Monte-Carlo method: delocalized (a) and localized (b) states. Dark circles denote electron distribution, light circles are the positions of surrounding molecules.
4-2
Mean- field approximation
It is possible to obtain the effective Shrodinger equation determining the electron state in the molecular medium by the reference action method 13 ' 18 . Let us introduce the reference action So, which is defined by the onepartition Green function G(r,r') as
where >n denotes a set of the electron wave functions <j>n with energy En. In the mean-field approximation, the averaged values can be expressed by the 161
one-partition Green function (see Appendix 3). Consequently
where G =< G(r, r) >= / G(i, r)dr, and u,(r), UI(T) are the short- and longrange parts of the electron-particle potential. For the Coulomb polarizable systems, where the term proportional to the first power of uj(r) vanishes, we
should include into considerations the terms proportional to U|(r)wj(r ). If the ground electron state with ^o is not degenerate, that is /3(E0 — Ei) » 1, it follows from (19) that
To compute the averaged Mayer function / for nonlocal time-dependent potential, it is necessary to know the dynamic behavior of the system, and the frequency-dependent correlation functions of the medium. There are a few
approaches to avoid these difficulties. They are self-consistent (SCA) and adiabatic approximations (AA). The adiabatic treatment yields the low-frequency limit, when uo/E —> 0, and the electron coordinate can be regarded as an adiabatic variable. The other limit <*Jo/E ~* °° corresponds to the self-consistent approximation, when the environment can be treated as a classical polarizable fluid. As a result, ones can express the second order Mayer function of the electron as
In the self-consistent treatment we get UQ = oo.
The obtained relations are the consequence of the mean- field approximation and the definition of the Mayer function. Thus, the free energy functional can be expressed by a set of the electron wave functions determined by the
reference action S0. solvated electron
We may also estimate the entropy change r,.nt for the
162
The optimal choice of So giving the best estimation of (14) is obtained from the extremum of the functional ^j = 0, witch yields the effective Shrodinger equation for the ground and excited electron wave functions
We may obtain the continual limit of this equation, if we postulate that Xz — 0The Shrodinger equation has a simple physical nature. The effective electron- medium potential is denned by the sum of the electron interaction
with all the particles Vfj (r) ~ / dRp(R,
equations were obtained both in solid-state and liquid disordered systems (see Sec.7). It should be noted, that although in these cases the steady electron states are described by the same equations, the dynamical behavior of the electron localization may be different. In the solids there is a distribution of
localized electron states and the main contribution to the free energy functional is due to the electron state described by (23), moreover, the medium density changes insufficiently. While in liquids the electron induces large fluctuations in the medium density, and it is self-localized on these local fluctuations. If the interaction between electron and medium particle is week and
ft < u >«
1, Eq.( 23) has the instanton form 4 1
This form is well known in the field theory, for ordered systems it corre-
sponds to the polaron problem 4'5 (the excited states of polaron were investigated i n 4 2 ) , while in disordered medium it is obtained in the problem of the electron localization in gaussian random field (see Sec. 7.1).
Thus, we have reduced the calculation of path integral (9) to the investigation of the Shrodinger equation. The solution to the problem can be obtained by direct numerical calculations or by variational estimations. Both 163
the methods have conventional mathematical supplement and do not require huge computing resources. As a result, it can be found how the electron state
depends on the environment. The examples of the estimations will be given in Sec.6. 4-3
Semicontinual treatment of the effective potential
Eq.(23) determines the self- consistent effective potential of the electron being in the equilibrium in the molecular medium. The long-ranged and shortranged parts of the potential coincide with the results of the Semicontinual theories2. Particularly, it can be found that the shot- ranged part has a cavity form V,j (k —» oo) = Vo where Vo is the cavity depth. On the other hand, we can find for Ve/ (k -* 0) that
where u,(k) denotes the Fourier transform of the Coulomb part of the electronparticle interaction. The expression in square brackets is connected with static dielectric constant e of fluids 40 .
while the second term of (24) can be expressed by the high-frequency dielectric constant too for our model
In the self-consistent limit, we should use e^ = 1. Therefore, the effective potential of the solvated electron in the polar disordered medium has the following asymptotics
Considering the Debye screening for an electrolyte, we can obtain the result similar to 2O. The difference between the self-consistent field and adiabatic treatments of the solvated electron in a polar fluid was discussed in 43. In the simplest case, this difference can be taken into account by replacing c = 1 — - with the Pekar factor cc} = — - -. J
«oo
€
164
Simple joining of asymptotics results in the semicontinual effective potential 2 , which includes cavity and polaron tails
In essence, the semicontinual treatment is the approximation of our potential with additional phenomelogical parameter, i.e. cavity radius (see Fig.4). Using electron distribution, we can calculate also the electron-solvent correlation function ge,(r), which mean the probability to find a solvent molecule at distance T from the center of electron localization. Figure 5 presents the comparison of the simulation data with the mean-field calculation for ^.(r).
In our statistical formulation, this parameter is not necessary and the form of the potential can be calculated from the microscopic consideration of the medi-
um, i.e., from the electron- particle interaction u(r — R) and the correlation functions of the medium density XiiXl-
Figure 4: Effective electron-medium potential. Solid line corresponds to the mean-field model, the dashed one to the semicontinual treatment, triangles present data of quantum molecular dynamic simulations.
165
Figure 5: Comparison of the simulation data (line 1) with the mean-field
calculation (line 2) for electrron-positive ion correlation function ge+(r) in molten salts.
5
Mean-field treatment of the dielectron states
The dielectron state in liquids has also been the subject of experimental and theoretical study (see references to earlier works in 4 4 ). Although there are experimental data indicating that spin pairing occurs in metal- alkali halide and metal-ammonia solutions 45'46, the theory is not yet as comprehensive as experiment. Recently, the success combination of the path simulation tech-
nique and the density functional approach 2r has stimulated the interest in the problem. We sketch here the employment of our model for the dielectron problem. All the above consideration can be extended to the dielectron problem. In this case we should include into consideration the electron-electron interaction.
166
Then, the action of the dielectron problem can be written as
Here the second term represents the electron-electron interaction due to the
Coulomb repulsion. Repeating the above derivation, we express the effective action of the dielectron as
where fdi, fdi are respectively the generalized first order and second order
Mayer functions for the dielectron
To reveal the physical nature, we consider only the ground state of the localized dielectron. Then using the mean-field approximation, we can present the averaged Mayer functions of the dielectron as
where $(r, r') is the dielectron wave function of the ground state. Here we take into account the physical equivalence of both electrons. As in the one-electron case, the complete physical nature of the dielectron is determined by the frequency-dependent correlation functions. The second
167
order Mayer function fn of the dielectron can be evaluated by the wave function $(r, r') only in self-consistent and adiabatic limits. As a result, we can obtain
Here the first term in the exponent of (35) represents the one-electron correlation, while the second is due to the two-electron correlations. The free energy for the dielectron formation can be expressed as
As with the electron problem, we can reduce the functional to the biinstanton form for the week electron-particle interaction
where r?(r, r') is the potential due to the charge of the bi-instanton, while Wj corresponds to the nonlocal self-interaction
The continual limit of the functional yields the standard bipolaron
functional 48
168
In the self-consistent limit, (.&> is equal to unit. In principle, the investigation of the functional (36) and the related Shrodinger-like equation for bipolaron state requires the relation between oneelectron and dielectron wave functions. Different approaches can be used for this purpose. Direct variational method uses ia special variational form of the wave functions 48 . Another method considers the dielectron correlations by the Kohn-Sham formalism and to use the density functional model for the spin pairing problem. The semicontinual form of the functional was studied in 44 , where the shortrange cavity form and bipolaronic tails of the effective potential were assumed. In our model it is a natural consequence of the microscopical consideration. Recently, the analogous form of the effective potential for the bipolarons has been obtained by path simulations 27 , where the peanut form of the dielectron distribution was found.
The adiabatic limit of functional (39) is well known 4 and is investigated for different types of the bipolaron wave function by the variational method. The problem of the bipolaron stability in the presence of short-range and longrange interactions was studied in 4 9 ' 5 0 . Without considering the problem as a whole, we point out that the presence of the sharp cavity-like short-range potential should increase the stability of the bipolaron formation.
6 6.1
Application of the model The shape of the absorption spectrum
In general, the absorption of light is defined by the dynamics of the electron behavior as well as the medium state. However, we suppose that the time of the electron relaxation exceeds greatly the relaxation time of the environment, and the medium adiabatically follows the electron. The probability of the light absorption W(ui) can be presented as integral over complex variable 9 = it/h
Here u is the frequency of light, while dij is the matrix electron-photon element for the initial -final states transition, and F{, F] are the initial and final timedependent free energy functionals, respectively.
Note that the electron and medium states are strongly correlated, they are connected by common relations determining the free energy surfaces of the 169
initial and final states. The problem of the medium influence on the absorption spectrum reduces to computation of integral (40), with taking into account these correlations between the electron and environment states. The difference between the light absorption problem and the effective potential potential is the complexity of the variable 9. All consideration of Sec. 4 can be repeated, but the analytical continuation is needed for Ff(0), Fj(6) 31. As a result, we can obtain
We will show below, that 2?, are connected with the reorganization energy. Although the general expressions are are easily calculated, we present here the continual limit (x? = 0) °f these expressions to save room
where e = 1 + /, e = 1 + /, and subscripts in averaging brackets denote the averaging over initial and final states, respectively. For a weak electron-particle interaction, the above equations are transformed to the conventional expression of the reorganization energy
where E° and E* is the short-range and long-range parts of the reorganization energy. There are two limiting cases, determined by the value S = ET(3 1. S » 1 (Strong coupling)
170
Integral (40) can be estimated by the saddle point method The main contribution is due to the vicinity of the saddle point and the spectrum has a gaussian form
Here Wf:max,Aj are the maximum frequency and half-width of /-th line.
2. 5 «
1 (Weak coupling).
In this case it is necessary to consider the range of the integration where |7m0| is large. But therein, 8F(9) can be presented as a linear over 0 and the
spectrum has the Lorentz form
6.S
The environment effect on the maximum and width of the absorption line
In general, the absorption spectrum should be calculated numerically by the Shrodinger equation (23). To demonstrate the possibilities of our method, we estimate how the medium state (its temperature, pressure and concentration of added salts) affects the maximum and with of the gaussian absorption spectrum of the solvated electron 18. Note that for the Coulomb potential
Here Uei is the potential electron energy. The latter follows from the virial theorem. For the polaron potential one can obtain that h<jjmax = |(7|f/e||, where
C ~ 1 is the numerical coefficient, which is of the order of unity. The shortranged interaction can slightly reduce the coefficient, C ~ 0.5-=-l. Despite this fact we can put ( 7 = 1 for the estimation. a.) The temperature effect. It should be pointed out that the dielectric constant weakly depends on the temperature. Neglecting this dependence, we can get
171
In this estimation, we also neglect the dependencies of the cavity radius and density on the temperature. Substituting Vo ~ 1 -=- 2 ev, we obtain
which agrees well with the experimental data 1 . For the half-width of the absorption line, we can find the known squared dependence on the temperature A ~ V T. b.) The pressure influence. From these reasons, we can find the pressure dependence of the absorption maximum.
For polar liquids with £ > 10 the last term is less then 10 % and pressure dependence is due to the density effect. The correlation between the absorption maximum and density dependencies was experimentally found in c.) The added salts concentration influence. The presence of added ions causes the Debye screening of the polarization potential. For the dilute electrolyte it can be obtained that
where TV = (e2nf))~1'2 is the Debye radius, and n is the concentration of added salts. It follows
The estimation obtained in 2 0 , correctly determines the sign of the maximum shift due to the added salts concentration. This shift is widely experimentally observed, (see for example 52 ). For the width of the absorption line, it is necessary to consider the next terms of the expansion, which is proportional to n. As a result, we have
here r2p is the size of the first excited electron state. This dependence explains the asymmetry of broadening absorption band. Since the broadening is proportional to the size of the excited state, the broadening is larger for the high-
172
energy transition la —> 3p, which broadens the spectrum in the short-length range. This asymmetry of the broadening was experimentally observed in 5 2 . For dipolar liquids Ufi ~ , where g is the Kirkwood factor. It follows from our consideration that the absorption maximum is proportional to this factor. This correlation has been observed in experiment (see reviews 53 ). More detailed analysis 54 shows that this correlation is sufficiently approximated, it may be due to some effects from our viewpoint. For example, the short- ranged part of electron- particle potential may cause deviations in this dependence.
6.3
Nonadiabatic electron transfer
The reasons of the previous Sec. is valid for the nonadiabatic electron transfer. We should treat an integral similar to (40) and add donor and accepter - electron potential for the electron states localized in donor and accepter respectively. Considering the ground electron states only, we can find in twolevel approximation that the transfer probability is described by the following relation
and saddle point 6* is determined by the extremum of the functional SF(0"). In general, it yields a nonlinear algebraic equation for 6*. It differs from the Marcus electron transfer theory 55 where SF(6*) is a quadratic function over 0. The solution of this algebraic equation should be found numerically. However, we present some interesting considerations following from (52). First, the temperature dependence of the electron transfer rate constant is not generally presented by Arrehnius law. The rate constant does not exponentially increase with temperature but it can decrease for some parameters of the problem. This possibility was pointed out in 5 6 . Second, the derived relations of the electron transfer parameters may be useful when the calculation of the reorganization energy via the conventional electron transfer theory 55 is rather difficult. This is the case for the substances with essential contributions of short- range interactions, when the calculation or measurement of the dielectric constants is very difficult. Third, various crude approximations of the results obtained can estimate the dependence of the transfer probability on the medium parameters. For example, for molecular nonpolar liquids the electron pseudopotential can be approximated as
173
where d is the scattering length. Then, in classic approximation we may get
here re denotes the electron radius, S(k) is the structure factor and L ~
/ dr<£? n (r)<£? (r) is the exchange integral. This relation can be used for the estimation of the temperature, density and scattering length effects on the activation barrier for the nonpolar molecular medium. Fourth, it should be noted that all the results are also valid for inhomogeneous fluids. Particularly, they can be used for the electron transfer near the phase boundary or near electrodes or in the presence of an external field. There are several models of inhomogeneous fluids for which the correlation functions were calculated ; these data can be used to estimate the effect of
the medium heterogeneity on the electron transfer. 7
7.1
Comparison •with other models of the electron state in disordered medium Solid-state systems
The problem of an excess electron in disordered lattice is the simplest example of the electron problem in disordered systems 57. On the other hand, these studies have been initiated by the development of the electron band theory in ordered lattices. However, in the disordered systems the band structure has more complicated character related to new physical phenomena. A more illustrative example is the Anderson localization problem 58. A wide set of other illustrations can be found in 5 9 . The key question studied intensely in this field (see reviews ' ' 8 ' 8 ), is the
calculation of the density of the electron states (DOS) D(E) related to the oneelectron partition Green function averaged over all the impurities configuration
Thus, the problem is reduced to the calculation of the imaginary part of the Green function, and its dependence on the concentration and type of the impurities and on the electron energy. In this sense, this problem for the so-called deep tails region is analogous to our treatment. Leaving aside huge volume of investigations, reviewed i n 6 ' ' 8 ' 9 , we will compare our model with basic theoretical approaches in this field. a.)The optimal- fluctuation method
174
If the inter-impurity distance is less than the electron radius, the (DOS) can be evaluated by the averaged concentration of the impurities p(r). cording to 8
Ac-
Here F(/J) is the entropy of the medium, depending on the impurity concentration p. The variational estimations of this equation yield the extremum of the concentration Po(r)
where 7 is the Lagrange multiplier. It is determined by the fact that E,
If the entropy is proportional to the logarithm of the impurities concentration F oc lnp(r), then from (57-58) we can get equation (23) in the continual limit. This case corresponds to the Poisson range of spectrum. When the deviations from the averaged concentration po = const are rather small, the
gaussian statistics can be used and F oc p(r) — p0. For this case, the electron wave function is determined by the Shrodinger equation of the instanton type (24), which coincides with the equation obtained by Halperin and Lax 80 ' 81 . Note that the results of the approach differ from our model in continual limit only in the Lagrange multiplier 7 (in our model 7 = /3). b.) Path-integral approach. It seems that the path-integral approach was first used in e2 to calculate of the DOS in disordered systems. The method was actively studied in Sayakanit's works 63'84. It is based on the Feynman idea 65 to estimate the action by the reference quadratic action. The statement of the problem is the following. The one-particle Green function is determined by the continual integral
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Then, the effective action is evaluated according to (15) by the quadratic
reference action
The parameter 7 is fitted to get the optimal estimation of (15). As a result, the nonlinear algebraic equation relating the electron energy E to the parameter 7(xi,ti(r)) is obtained. The analytical calculations were made in (60) where the Mayer function was expanded over the interaction potential till second order. Sa-yakanit used the method to evaluate the D(E) for the screened Coulomb potential. The effective action depending on the two parameters TI , 72 was investigated in 63 . The estimation of D(E) corrected by the higher cumulants was obtained in 6 8 . On the whole for the deep tails region, the method gets the estimations of the DOS close to hose obtained by the optimal-fluctuation theory. The only difference is in the higher energy region where the DOS is overestimated by the path-integral model. It should be pointed out that equation (60) is the continual limit of effective action (14), when Xi = const, Xi = 0> i > 1 and /3 is replaced by it/h. Thus, all evaluations obtained by the path-integral method are similar to our consideration and only differ in the reference action form. The quadratic form of the reference action is chosen in the path-integral model to make analytical evaluation. c.) Replica method. Another approach connected with our treatment is the replica method 6 7 . This approach was first introduced by Edwards and Anderson .In ' the method was used to evaluate the DOS in heavily doped semiconductors. The starting point of the method is the representation of the Green function by the gaussian integrals
here H is the matrix determining the Hamiltonian of the system. The problem is too complicated, since the Hamiltonian depending on the impurities configuration is involved both in the numerator and denominator. However, using the replica trick identity, this equation can be expressed as a multi-dimensional integral. For any functions g(x) and f(x) we can write
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where x = (z • • • zn) is the replica vector. As a result, the order of averaging and integration over inner degrees of freedom can be changed, and the Green function can be expressed as
To average the Green function, the data on impurity distribution are re-
quired.
These data can be obtained from the density correlation functions
formalism as in our approach. The final result is the expression of the Green function by the density correlation functions and distribution function over replica. For the gaussian statistics, the averaging and evaluation of the multidimensional integral can be made analytically to obtain the instanton type (24) of the equation for the electron wave function. The numerical calculation of (24) was obtained in 71 for different distributions of the correlations. The polaronic effect is neglected in these methods, and the medium density is assumed to be unchanged. The influence of both the polaron effect and the medium disorder was first examined in 2. and bipolaron effect was investigated in 73 The polaron and bipolaron were shown to be localized and more stable due to disorder. The polaron state in disordered medium was investigated 74 by the path-integral method. The polaron effect was discussed in detail in 75 where it was shown to result in an additional peak of the DOS in the deep
tails region. In principle, the consideration of 74 ' 75 coincide with our model. The evaluation of the absorption spectrum presented there for the acoustic polaron is similar to our estimation (40), the difference is only in the quadratic form of the reference action, and simple approximation of potential wells by gaussian-like distribution.
7.2
Liquid systems
a.)Semicontinual models. It has long been known that the disorder of liquid can affect the solvated electron. The earlier attempts to include the disorder into the consideration were based on the semicontinual models, where several statistical quantities of the effective electron- medium interaction were treated as a parameter of the averaging. For example, the number of molecules in the first coordination shell was used as a fluctuating value in 7 6 , while in 77 this role was played by the polarization of the medium, the depth of the cavity was used as the fluctuating quantity in 78 . The modern version of these models includes different types of
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disorder: the radius of the cavity and the energy of hydrogen bounds in 79, the interaction potential between electron and point charges in 80. All these approaches are the limiting cases of the general formula (23) for the effective potential. b.) Density functional models The continual limit of our model also coincides with the self-trapped electron theory for dense gases and liquids10. It is shown in13 that both the models have an identical starting formulation. The key of the model is that the free energy includes the kinetic energy of the electron, the term proportional to
the chemical potential of the medium, and the term determined by the change in energy of the environment particles due to the excess field induced by the electron
Here fm is the Helmholtz energy of the medium. The variational estimations of the equation yield the extremum of the density po(r) according to (57) and the electron wave function determined by (58).
In these models the pair correlations between the medium molecules are ignored or treated as small corrections to the free energy functional F and to the effective potential Vej , while the pair-wise interaction is represented by
pseudopotential (53), which is generalized to the case of Van der Waals fluid in l0'81. Another generalization includes surface interaction effects. c.) RISM and other related models It was pointed out that the RISM- polaron theory was a starting point of the mean-field models for the solvated electron. This theory uses the direct correlation function cc(r) of the electron instead of the Mayer function. These functions have the same long-range asymptotics, but differ significantly in the short-range region. As was emphasized in , the difference weakly affects the solvated electron state, if the state is rather diffusive. The direct correlation function is connected with the electron-isolated site potential u by some additional relations. This brings up a necessity to compute the additional RISMlike integral equation
where he = gf — 1, gc is the pair electron-solvent distribution function, and w is the response function of the electron
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To solve the equation, the additional closing approximation of type c(r,<) = exp[—j0u(r)]/(/i s (r) is required. The RISM-polaron model uses the meanspherical approximation. The resulting effective action of the electron is evaluated by reference action of type (60) with a set of fitting parameters 7i, • • • , 7 n The variational estimation leads to the set of the nonlinear algebraic equations connecting fn and the electron state parameters. The problem of the electron state is reduced to the calculation of a nonlinear algebraic set of equations for the parameters -yn (force constants). These equations are calculated by some iterative procedure. Note that the use of the quadratic reference action allows one to estimate the localized electron state as well as quasi- free electron states. The theory of the RISM-polaron model was considered in 28 . Numerical calculations for hard sphere liquids were presented in . The theory results were compared with the simulations in 11 . I n 2 9 , the model was generalized to polarizable fluids, and in 31 to the real time electron behavior. The method was used in 12 to calculate the electron mobility. The RISM- polaron theory was used for the hydrated electron in 17 , for calculation of the electron state 15 and its absorption spectrum 18 in molten salts. The calculation of the effective electron mass was obtained in 14 for nonpolar fluids. The connection between the mean-field treatment and the RISM-polaron theory was investigated in 13 for classical fluids. Another treatment, which interlies between our and the RISM-polaron consideration is the work of Zhu and Cukier 32 ' 33 . The Shrodinger-like equation was also obtained for electron state in nonpolar 32 and polar fluids 33 in the mean-field treatment. In contrast to our model, the effective potential in this equation was expressed by the electron-solvent distribution function. Thus, an additional relation connecting this function and pair-wise potential is required. The Ornstein-Zernike-like integral equation was used as this connection. The calculations based on this model were compared with simulation. d.) Theories of band structure in liquid In contrast to our case, the problem is reduced to the investigation of collective excitations (band structure) for topologically disordered systems, when the excess electron energy is rather close to the energy of bound electrons. This problem was repeatedly considered (see reviews82 and references therein). The result is the calculation of the self-consistent equation for the one-particle Green function connecting the distribution function