Statistical Mechanics

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Statistical Mechanics, Fourth Edition, explores the physical properties of matter based on the dynamic behavior of its microscopic constituents. This valuable textbook introduces the reader to the historical context of the subject before delving deeper into chapters about thermodynamics, ensemble theory, simple gases theory, Ideal Bose and Fermi systems, statistical mechanics of interacting systems, phase transitions, and computer simulations. In the latest revision, the book's authors have updated the content throughout, including new coverage on biophysical applications, updated exercises, and computer simulations. This updated edition will be an indispensable to students and researchers of statistical mechanics, thermodynamics, and physics.

Author(s): R. K. Pathria, Paul D. Beale
Edition: 4
Publisher: Academic Press
Year: 2021

Language: English
Tags: Statistical Physics

Contents
Preface to the first edition
Preface to the second edition
Preface to the third edition
Preface to the fourth edition
Historical introduction
1 The statistical basis of thermodynamics
1.1 The macroscopic and the microscopic states
1.2 Contact between statistics and thermodynamics: physical significance of the number Ω(N, V, E)
1.3 Further contact between statistics and thermodynamics
1.4 The classical ideal gas
1.5 The entropy of mixing and the Gibbs paradox
1.6 The ``correct'' enumeration of the microstates
Problems
2 Elements of ensemble theory
2.1 Phase space of a classical system
2.2 Liouville's theorem and its consequences
2.3 The microcanonical ensemble
2.4 Examples
2.5 Quantum states and the phase space
Problems
3 The canonical ensemble
3.1 Equilibrium between a system and a heat reservoir
3.2 A system in the canonical ensemble
The method of most probable values
The method of mean values
3.3 Physical significance of the various statistical quantities in the canonical ensemble
3.4 Alternative expressions for the partition function
3.5 The classical systems
3.6 Energy fluctuations in the canonical ensemble: correspondence with the microcanonical ensemble
3.7 Two theorems – the ``equipartition'' and the ``virial''
3.8 A system of harmonic oscillators
3.9 The statistics of paramagnetism
3.10 Thermodynamics of magnetic systems: negative temperatures
Problems
4 The grand canonical ensemble
4.1 Equilibrium between a system and a particle–energy reservoir
4.2 A system in the grand canonical ensemble
4.3 Physical significance of the various statistical quantities
4.4 Examples
4.5 Density and energy fluctuations in the grand canonical ensemble: correspondence with other ensembles
4.6 Thermodynamic phase diagrams
4.7 Phase equilibrium and the Clausius–Clapeyron equation
Problems
5 Formulation of quantum statistics
5.1 Quantum-mechanical ensemble theory: the density matrix
5.2 Statistics of the various ensembles
5.2.A The microcanonical ensemble
5.2.B The canonical ensemble
5.2.C The grand canonical ensemble
5.3 Examples
5.3.A An electron in a magnetic field
5.3.B A free particle in a box
5.3.C A linear harmonic oscillator
5.4 Systems composed of indistinguishable particles
5.5 The density matrix and the partition function of a system of free particles
5.6 Eigenstate thermalization hypothesis
Problems
6 The theory of simple gases
6.1 An ideal gas in a quantum-mechanical microcanonical ensemble
6.2 An ideal gas in other quantum-mechanical ensembles
6.3 Statistics of the occupation numbers
6.4 Kinetic considerations
6.5 Gaseous systems composed of molecules with internal motion
6.5.A Monatomic molecules
6.5.B Diatomic molecules
6.6 Chemical equilibrium
Problems
7 Ideal Bose systems
7.1 Thermodynamic behavior of an ideal Bose gas
7.2 Bose–Einstein condensation in ultracold atomic gases
7.3 Thermodynamics of the blackbody radiation
7.4 The field of sound waves
7.5 Inertial density of the sound field
7.6 Elementary excitations in liquid helium II
Problems
8 Ideal Fermi systems
8.1 Thermodynamic behavior of an ideal Fermi gas
8.2 Magnetic behavior of an ideal Fermi gas
8.2.A Pauli paramagnetism
8.2.B Landau diamagnetism
8.3 The electron gas in metals
8.4 Ultracold atomic Fermi gases
8.5 Statistical equilibrium of white dwarf stars
8.6 Statistical model of the atom
Problems
9 Thermodynamics of the early universe
9.1 Observational evidence of the Big Bang
9.2 Evolution of the temperature of the universe
9.3 Relativistic electrons, positrons, and neutrinos
9.4 Neutron fraction
9.5 Annihilation of the positrons and electrons
9.6 Neutrino temperature
9.7 Primordial nucleosynthesis
9.8 Recombination
9.9 Epilogue
Problems
10 Statistical mechanics of interacting systems: the method of cluster expansions
10.1 Cluster expansion for a classical gas
10.2 Virial expansion of the equation of state
10.3 Evaluation of the virial coefficients
Problems
11 Statistical mechanics of interacting systems: the method of quantized fields
11.1 The formalism of second quantization
11.2 Low-temperature behavior of an imperfect Bose gas
11.2.A Effects of interactions on ultracold atomic Bose–Einstein condensates
11.3 Low-lying states of an imperfect Bose gas
11.4 Energy spectrum of a Bose liquid
11.5 States with quantized circulation
11.6 Quantized vortex rings and the breakdown of superfluidity
11.7 Low-lying states of an imperfect Fermi gas
11.8 Energy spectrum of a Fermi liquid: Landau's phenomenological theory
11.9 Condensation in Fermi systems
Problems
12 Phase transitions: criticality, universality, and scaling
12.1 General remarks on the problem of condensation
12.2 Condensation of a van der Waals gas
12.3 A dynamical model of phase transitions
12.4 The lattice gas and the binary alloy
12.5 Ising model in the zeroth approximation
12.6 Ising model in the first approximation
12.7 The critical exponents
12.8 Thermodynamic inequalities
12.9 Landau's phenomenological theory
12.10 Scaling hypothesis for thermodynamic functions
12.11 The role of correlations and fluctuations
12.12 The critical exponents ν and η
12.13 A final look at the mean field theory
Problems
13 Phase transitions: exact (or almost exact) results for various models
13.1 One-dimensional fluid models
13.1.A Hard spheres on a ring
13.2 The Ising model in one dimension
13.3 The n-vector models in one dimension
13.4 The Ising model in two dimensions
13.5 The spherical model in arbitrary dimensions
13.6 The ideal Bose gas in arbitrary dimensions
13.7 Other models
Problems
14 Phase transitions: the renormalization group approach
14.1 The conceptual basis of scaling
14.2 Some simple examples of renormalization
14.2.A The Ising model in one dimension
14.3 The renormalization group: general formulation
14.4 Applications of the renormalization group
14.4.A The Ising model in one dimension
14.4.B The spherical model in one dimension
14.4.C The Ising model in two dimensions
14.5 Finite-size scaling
Problems
15 Fluctuations and nonequilibrium statistical mechanics
15.1 Equilibrium thermodynamic fluctuations
15.2 The Einstein–Smoluchowski theory of the Brownian motion
15.3 The Langevin theory of the Brownian motion
15.4 Approach to equilibrium: the Fokker–Planck equation
15.5 Spectral analysis of fluctuations: the Wiener–Khintchine theorem
15.6 The fluctuation–dissipation theorem
15.6.A Derivation of the fluctuation–dissipation theorem from linear response theory
15.6.B Inelastic scattering
15.7 The Onsager relations
15.8 Exact equilibrium free energy differences from nonequilibrium measurements
Problems
16 Computer simulations
16.1 Introduction and statistics
16.2 Monte Carlo simulations
16.2.A Metropolis Monte Carlo algorithm
16.3 Molecular dynamics
16.3.A Molecular dynamics algorithm
16.4 Particle simulations
16.4.A Simulations of hard spheres
16.5 Computer simulation caveats
Problems
Appendices
A Influence of boundary conditions on the distribution of quantum states
B Certain mathematical functions
Stirling's formula for ν!
The Dirac delta function
C ``Volume'' and ``surface area'' of an n-dimensional sphere of radius R
D On Bose–Einstein functions
E On Fermi–Dirac functions
F A rigorous analysis of the ideal Bose gas and the onset of Bose–Einstein condensation
G On Watson functions
H Thermodynamic relationships
Entropy S(N,V,U) and the microcanonical ensemble
Internal energy U(N,V,S)
Helmholtz free energy A(N,V,T)=U-TS and the canonical ensemble
Thermodynamic potential Π(μ,V,T)=-A + μN=P V and the grand canonical ensemble
Gibbs free energy G(N,P,T)=A+PV=U-TS+PV=μN and the isobaric ensemble
Enthalpy H(N,P,S)=U+PV
Magnetic and electric free energy A(T,H,E)=U(S,M,P)-TS -μ0 HM - E P
Convexity and variances
I Pseudorandom numbers
Gaussian-distributed pseudorandom numbers
Bibliography
Index