Book contents
- Frontmatter
- Contents
- Preface
- 1 Thermodynamics: a brief overview
- 2 Kinetics
- 3 From Boltzmann to Boltzmann–Gibbs
- 4 More ensembles
- 5 The thermodynamic limit and its thermodynamic stability
- 6 Density matrix and quantum statistical mechanics
- 7 The quantum gases
- 8 Mean-field theories and critical phenomena
- 9 Second quantization and the Hartree–Fock approximation
- 10 Linear response and the fluctuation–dissipation theorem in quantum systems: equilibrium and small deviations
- 11 Brownian motion and transport in disordered systems
- 12 Fermi liquids
- 13 The Landau theory of second order phase transitions
- 14 The Landau–Wilson model for critical phenomena
- 15 Superfluidity and superconductivity
- 16 Scaling theory
- 17 The renormalization group approach
- 18 Thermal Green functions
- 19 The microscopic foundations of Fermi liquids
- 20 The Luttinger liquid
- 21 Quantum interference effects in disordered electron systems
- Appendix A The central limit theorem
- Appendix B Some useful properties of the Euler Gamma function
- Appendix C Proof of the second theorem of Yang and Lee
- Appendix D The most probable distribution for the quantum gases
- Appendix E Fermi–Dirac and Bose–Einstein integrals
- Appendix F The Fermi gas in a uniform magnetic field: Landau diamagnetism
- Appendix G Ising and gas-lattice models
- Appendix H Sum over discrete Matsubara frequencies
- Appendix I Two-fluid hydrodynamics: a few hints
- Appendix J The Cooper problem in the theory of superconductivity
- Appendix K Superconductive fluctuation phenomena
- Appendix L Diagrammatic aspects of the exact solution of the Tomonaga–Luttinger model
- Appendix M Details on the theory of the disordered Fermi liquid
- Appendix N Answers to problems
- References
- Index
18 - Thermal Green functions
Published online by Cambridge University Press: 05 September 2015
- Frontmatter
- Contents
- Preface
- 1 Thermodynamics: a brief overview
- 2 Kinetics
- 3 From Boltzmann to Boltzmann–Gibbs
- 4 More ensembles
- 5 The thermodynamic limit and its thermodynamic stability
- 6 Density matrix and quantum statistical mechanics
- 7 The quantum gases
- 8 Mean-field theories and critical phenomena
- 9 Second quantization and the Hartree–Fock approximation
- 10 Linear response and the fluctuation–dissipation theorem in quantum systems: equilibrium and small deviations
- 11 Brownian motion and transport in disordered systems
- 12 Fermi liquids
- 13 The Landau theory of second order phase transitions
- 14 The Landau–Wilson model for critical phenomena
- 15 Superfluidity and superconductivity
- 16 Scaling theory
- 17 The renormalization group approach
- 18 Thermal Green functions
- 19 The microscopic foundations of Fermi liquids
- 20 The Luttinger liquid
- 21 Quantum interference effects in disordered electron systems
- Appendix A The central limit theorem
- Appendix B Some useful properties of the Euler Gamma function
- Appendix C Proof of the second theorem of Yang and Lee
- Appendix D The most probable distribution for the quantum gases
- Appendix E Fermi–Dirac and Bose–Einstein integrals
- Appendix F The Fermi gas in a uniform magnetic field: Landau diamagnetism
- Appendix G Ising and gas-lattice models
- Appendix H Sum over discrete Matsubara frequencies
- Appendix I Two-fluid hydrodynamics: a few hints
- Appendix J The Cooper problem in the theory of superconductivity
- Appendix K Superconductive fluctuation phenomena
- Appendix L Diagrammatic aspects of the exact solution of the Tomonaga–Luttinger model
- Appendix M Details on the theory of the disordered Fermi liquid
- Appendix N Answers to problems
- References
- Index
Summary
In Chapter 9 we applied the second quantization to the Hartree–Fock method. In this chapter we provide the basic aspects of the thermal Green function method, which is convenient for systematic perturbative expansion beyond the mean-field approximation. Several problems in quantum statistical mechanics can be elegantly and compactly described in terms of the so-called Matsubara Green functions (Matsubara (1955); Abrikosov et al. (1963)). Hence, if on one hand, the density matrix description, often used in the previous chapters, has a more direct physical interpretation, on the other hand the Green function method is far more powerful and takes advantage of a handy diagrammatic perturbation expansion. In the following chapters, we rely on the Green function for a more complete treatment of some many-body problems. To be self contained we introduce here this technical chapter with a short presentation of the by now standard Green function method. For a comprehensive treatment we refer the reader to the many books available and in particular to Abrikosov et al. (1963).
The Matsubara Green function
The main aim of quantum statistical mechanics is the evaluation of the partition function (see Eqs. (6.31) and (6.32)), e.g. in the grand canonical ensemble
In the case of quantum gases one can evaluate Ƶ exactly as we did in Chapter 7. In general, the evaluation of the partition function is a difficult task and it is useful to use perturbation theory to obtain approximate solutions. To set up a perturbation theory, one begins by splitting the Hamiltonian as H = H0 + Hi, where H0 represents the “easy” part, which can be solved exactly. In the second step, one could naturally think of expanding the exponential of the interacting part Hi in order to write the partition function as a perturbative series. However, such a procedure requires extreme care due to the non-commutative nature of operators in quantum mechanics. The way of solving this problem is via the “time” ordering of operators in each term of the perturbative expansion. It can be shown, as we shall see in the present chapter, that the quantum statistical average of any time-ordered sequence of operators with respect to the unperturbed Hamiltonian H 0 can be expressed in terms of elementary quantum statistical averages of two field operators. Such elementary averages are called Green functions and in this section we introduce the basic definitions concerning them.
- Type
- Chapter
- Information
- Statistical Mechanics and Applications in Condensed Matter , pp. 318 - 351Publisher: Cambridge University PressPrint publication year: 2015