A modern course in statistical physics /

Bibliographic Details
Main Author: Reichl, L. E. (Author)
Corporate Author: EBSCOhost
Format: eBook
Language:English
Published: Weinheim, Germany : Wiley-Vch, Verlag GmbH & Co. KGaA, [2016]
Edition:4th revised and updated edition.
Subjects:
Online Access:Connect to the full text of this electronic book
Table of Contents:
  • 2.1. Introduction
  • 2.2. Counting Microscopic States
  • 2.3. Probability
  • 2.4. Multiplicity and Entropy of Macroscopic Physical States
  • 2.5. Multiplicity and Entropy of a Spin System
  • 2.5.1. Multiplicity of a Spin System
  • 2.5.2. Entropy of Spin System
  • 2.6. Entropic Tension in a Polymer
  • 2.7. Multiplicity and Entropy of an Einstein Solid
  • 2.7.1. Multiplicity of an Einstein Solid
  • 2.7.2. Entropy of the Einstein Solid
  • 2.8. Multiplicity and Entropy of an Ideal Gas
  • 2.8.1. Multiplicity of an Ideal Gas
  • 2.8.2. Entropy of an Ideal Gas
  • 2.9. Problems
  • 3.1. Introduction
  • 3.2. Energy Conservation
  • 3.3. Entropy
  • 3.3.1. Carnot Engine
  • 3.3.2. The Third Law
  • 3.4. Fundamental Equation of Thermodynamics
  • 3.5. Thermodynamic Potentials
  • 3.5.1. Internal Energy
  • 3.5.2. Enthalpy
  • 3.5.3. Helmholtz Free Energy
  • 3.5.4. Gibbs Free Energy
  • 3.5.5. Grand Potential
  • 3.6. Response Functions
  • 3.6.1. Thermal Response Functions (Heat Capacity)
  • 3.6.2. Mechanical Response Functions
  • 3.7. Stability of the Equilibrium State
  • 3.7.1. Conditions for Local Equilibrium in a PVT System
  • 3.7.2. Conditions for Local Stability in a PVT System
  • 3.7.3. Implications of the Stability Requirements for the Free Energies
  • 3.7.4. Correlations Between Fluctuations
  • 3.8. Cooling and Liquefaction of Gases
  • 3.9. Osmotic Pressure in Dilute Solutions
  • 3.10. The Thermodynamics of Chemical Reactions
  • 3.10.1. The Affinity
  • 3.11. The Thermodynamics of Electrolytes
  • 3.11.1. Batteries and the Nernst Equation
  • 3.11.2. Cell Potentials and the Nernst Equation
  • 3.12. Problems
  • 4.1. Introduction
  • 4.2. Coexistence of Phases: Gibbs Phase Rule
  • 4.3. Classification of Phase Transitions
  • 4.4. Classical Pure PVT Systems
  • 4.4.1. Phase Diagrams
  • 4.4.2. Coexistence Curves: Clausius-Clapeyron Equation
  • 4.4.3. Liquid-Vapour Coexistence Region
  • 4.4.4. The van der Waals Equation
  • 4.4.5. Steam Engines
  • The Rankine Cycle
  • 4.5. Binary Mixtures
  • 4.5.1. Equilibrium Conditions
  • 4.6. The Helium Liquids
  • 4.6.1. Liquid He4
  • 4.6.2. Liquid He3
  • 4.6.3. Liquid He3-He4 Mixtures
  • 4.7. Superconductors
  • 4.8. Ginzburg-Landau Theory
  • 4.8.1. Continuous Phase Transitions
  • 4.8.2. First-Order Transitions
  • 4.8.3. Some Applications of Ginzburg-Landau Theory
  • 4.9. Critical Exponents
  • 4.9.1. Definition of Critical Exponents
  • 4.9.2. The Critical Exponents for Pure PVT Systems
  • 4.9.3. The Critical Exponents for the Curie Point
  • 4.9.4. The Critical Exponents for Mean Field Theories
  • 4.10. Problems
  • 5.1. Introduction
  • 5.2. Probability Density Operator
  • Canonical Ensemble
  • 5.2.1. Energy Fluctuations
  • 5.3. Semi-Classical Ideal Gas of Indistinguishable Particles
  • 5.3.1. Approximations to the Partition Function for Semi-Classical Ideal Gases
  • 5.3.2. Maxwell-Boltzmann Distribution
  • 5.4. Interacting Classical Fluids
  • 5.4.1. Density Correlations and the Radial Distribution Function
  • 5.4.2. Magnetization Density Correlations
  • 5.5. Heat Capacity of a Debye Solid
  • 5.6. Order-Disorder Transitions on Spin Lattices
  • 5.6.1. Exact Solution for a One-Dimensional Lattice
  • 5.6.2. Mean Field Theory for a d-Dimensional Lattice
  • 5.6.3. Mean Field Theory of Spatial Correlation Functions
  • 5.6.4. Exact Solution to Ising Lattice for d = 2
  • 5.7. Scaling
  • 5.7.1. Homogeneous Functions
  • 5.7.2. Widom Scaling
  • 5.7.3. Kadanoff Scaling
  • 5.8. Microscopic Calculation of Critical Exponents
  • 5.8.1. General Theory
  • 5.8.2. Application to Triangular Lattice
  • 5.8.3. The S4 Model
  • 5.9. Problems
  • 6.1. Introduction
  • 6.2. The Grand Canonical Ensemble
  • 6.2.1. Particle Number Fluctuations
  • 6.2.2. Ideal Classical Gas
  • 6.3. Adsorption Isotherms
  • 6.4. Virial Expansion for Interacting Classical Fluids
  • 6.4.1. Virial Expansion and Cluster Functions
  • 6.4.2. The Second Virial Coefficient, B2(T)
  • 6.5. Blackbody Radiation
  • 6.6. Ideal Quantum Gases
  • 6.7. Ideal Bose-Einstein Gas
  • 6.7.1. Bose-Einstein Condensation
  • 6.7.2. Experimental Observation of Bose-Einstein Condensation
  • 6.8. Bogoliubov Mean Field Theory
  • 6.9. Ideal Fermi-Dirac Gas
  • 6.10. Magnetic Susceptibility of an Ideal Fermi Gas
  • 6.10.1. Paramagnetism
  • 6.10.2. Diamagnetism
  • 6.11. Momentum Condensation in an Interacting Fermi Fluid
  • 6.12. Problems
  • 7.1. Introduction
  • 7.2. Brownian Motion
  • 7.2.1. Langevin Equation
  • 7.2.2. Correlation Function and Spectral Density
  • 7.3. The Fokker-Planck Equation
  • 7.3.1. Probability Flow in Phase Space
  • 7.3.2. Probability Flow for Brownian Particle
  • 7.3.3. The Strong Friction Limit
  • 7.4. Dynamic Equilibrium Fluctuations
  • 7.4.1. Regression of Fluctuations
  • 7.4.2. Wiener-Khintchine Theorem
  • 7.5. Linear Response Theory and the Fluctuation-Dissipation Theorem
  • 7.5.1. The Response Matrix
  • 7.5.2. Causality
  • 7.5.3. The Fluctuation-Dissipation Theorem
  • 7.5.4. Power Absorption
  • 7.6. Microscopic Linear Response Theory
  • 7.6.1. Density Operator Perturbed by External Field
  • 7.6.2. The Electric Conductance
  • 7.6.3. Power Absorption
  • 7.7. Thermal Noise in the Electron Current
  • 7.8. Problems
  • 8.1. Introduction
  • 8.2. Navier-Stokes Hydrodynamic Equations
  • 8.2.1. Balance Equations
  • 8.2.2. Entropy Source and Entropy Current
  • 8.2.3. Transport Coefficients
  • 8.3. Linearized Hydrodynamic Equations
  • 8.3.1. Linearization of the Hydrodynamic Equations
  • 8.3.2. Transverse Hydrodynamic Modes
  • 8.3.3. Longitudinal Hydrodynamic Modes
  • 8.3.4. Dynamic Correlation Function and Spectral Density
  • 8.4. Light Scattering
  • 8.4.1. Scattered Electric Field
  • 8.4.2. Intensity of Scattered Light
  • 8.5. Friction on a Brownian particle
  • 8.6. Brownian Motion with Memory
  • 8.7. Hydrodynamics of Binary Mixtures
  • 8.7.1. Entropy Production in Binary Mixtures
  • 8.7.2. Fick's Law for Diffusion
  • 8.7.3. Thermal Diffusion
  • 8.8. Thermoelectricity
  • 8.8.1. The Peltier Effect
  • 8.8.2. The Seebeck Effect
  • 8.8.3. Thomson Heat
  • 8.9. Superfluid Hydrodynamics
  • 8.9.1. Superfluid Hydrodynamic Equations
  • 8.9.2. Sound Modes
  • 8.10. Problems
  • 9.1. Introduction
  • 9.2. Elementary Transport Theory
  • 9.2.1. Transport of Molecular Properties
  • 9.2.2. The Rate of Reaction
  • 9.3. The Boltzmann Equation
  • 9.3.1. Derivation of the Boltzmann Equation
  • 9.4. Linearized Boltzmann Equations for Mixtures
  • 9.4.1. Kinetic Equations for a Two-Component Gas
  • 9.4.2. Collision Operators
  • 9.5. Coefficient of Self-Diffusion
  • 9.5.1. Derivation of the Diffusion Equation
  • 9.5.2. Eigenfrequencies of the Lorentz-Boltzmann Equation
  • 9.6. Coefficients of Viscosity and Thermal Conductivity
  • 9.6.1. Derivation of the Hydrodynamic Equations
  • 9.6.2. Eigenfrequencies of the Boltzmann Equation
  • 9.6.3. Shear Viscosity and Thermal Conductivity
  • 9.7. Computation of Transport Coefficients
  • 9.7.1. Sonine Polynomials
  • 9.7.2. Diffusion Coefficient
  • 9.7.3. Thermal Conductivity
  • 9.7.4. Shear Viscosity
  • 9.8. Beyond the Boltzmann Equation
  • 9.9. Problems
  • 10.1. Introduction
  • 10.2. Near-Equilibrium Stability Criteria
  • 10.3. The Chemically-Reacting Systems
  • 10.3.1. The Brusselator
  • A Non-linear Chemical Model
  • 10.3.2. Boundary Conditions
  • 10.3.3. Stability Analysis
  • 10.3.4. Chemical Crystals
  • 10.4. The Rayleigh-BĂ©nard Instability
  • 10.4.1. Hydrodynamic Equations and Boundary Conditions
  • 10.4.2. Linear Stability Analysis
  • 10.5. Problems
  • A.1. Probability
  • A.1.1. Definition of Probability
  • A.1.2. Probability Distribution Functions
  • A.1.3. Binomial Distributions
  • A.1.4. Central Limit Theorem and the Law of Large Numbers
  • A.2. Stochastic Processes
  • A.2.1. Markov Chains
  • A.2.2. The Master Equation
  • A.2.3. Probability Density for Classical Phase Space
  • A.2.4. Quantum Probability Density Operator
  • A.3. Problems
  • D.1. Symmetrized and Antisymmetrized States
  • D.1.1. Free Particles
  • D.1.2. Particle in a Box
  • D.1.3. N-Particle Eigenstates
  • D.1.4. Symmetrized Momentum Eigenstates for Bose-Einstein Particles
  • D.1.5. Antisymmetrized Momentum Eigenstates for Fermi-Dirac Particles
  • D.1.6. Partition Functions and Expectation Values
  • D.2. The Number Representation
  • D.2.1. The Number Representation for Bosons
  • D.2.2. The Number Representation for Fermions
  • D.2.3. Thermodynamic Averages of Quantum Operators
  • E.1. Classical Dynamics of the Scattering Process
  • E.2. The Scattering Cross-Section
  • E.3. Quantum Dynamics of Low-Energy Scattering
  • F.1. Useful Mathematics
  • F.2. Solutions for Odd-Numbered Problems.