Elementary Statistical Physics

ISBN-10: 0486435148
ISBN-13: 9780486435145
Edition: 2004
Authors: Charles Kittel
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Description: Geared toward graduate students in physics, this text covers such important topics as stochastic processes and transport theory to provide students with a working knowledge of statistical mechanics. To explain his subject, the author uses the method  More...

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Book details

List price: $17.95
Copyright year: 2004
Publisher: Dover Publications, Incorporated
Publication date: 3/8/2004
Binding: Paperback
Pages: 240
Size: 5.25" wide x 8.25" long x 0.75" tall
Weight: 0.594
Language: English

Geared toward graduate students in physics, this text covers such important topics as stochastic processes and transport theory to provide students with a working knowledge of statistical mechanics. To explain his subject, the author uses the method of ensembles developed by J. Willard Gibbs. Topics include the properties of the Fermi-Dirac and Bose-Einstein distributions; the interrelated subjects of fluctuations, thermal noise, and Brownian movement; and the thermodynamics of irreversible processes. Negative temperature, magnetic energy, density matrix methods, and the Kramers-Kronig causality relations are treated briefly, and most sections include illustrative problems. 1958 edition.

About the author...Charles Kittel taught solid state physics at the University of California Berkeley from 1951 to 1978. Earlier he had been a member of the solid state physics group at Bell Laboratories. His undergraduate work in physics was a M.I.T. and at the Cavendish Laboratory of Cambridge University. His PhD was from the University of Wisconsin. He has been awarded the Oliver Buckley Prize for Solid State Physics and the Oersted Medal of the American Association of Physics Teachers He is a member of the National Academy of Science and of the American Academy of Arts and Sciences. He is the author of a widely used introductory book on solid state physics.

Fundamental Principles of Statistical Mechanics
Review of Classical Mechanics
Systems and Ensembles
Liouville Theorem
The Microcanonical Ensemble
Entropy in Statistical Mechanics
Elementary Example of Probability Distribution and Entropy
Conditions for Equilibrium
Connection Between Statistical and Thermodynamic Quantities
Calculation of the Entropy of a Perfect Gas Using the Microcanonical Ensemble
Quantum Mechanical Considerations
The Canonical Ensemble
Thermodynamic Functions for the Canonical Ensemble
Maxwell Velocity Distribution and the Equipartition of Energy
Grand Canonical Ensemble
Chemical Potential in External Fields
Chemical Reactions
Thermodynamic Properties of Diatomic Molecules
Thermodynamics and Statistical Mechanics of Magnetization
Fermi-Dirac Distribution
Heat Capacity of a Free Electron Gas at Low Temperatures
Bose-Einstein Distribution and the Einstein Condensation
Black Body Radiation and the Planck Radiation Law
Density Matrix and Quantum Statistical Mechanics
Negative Temperatures
Fluctuations, Noise, and Irreversible Thermodynamics
Fluctuations
Quasi-thermodynamic Theory of Fluctuations
Review of the Fourier Integral Transform and Topics in the Theory of Random Processes
Wiener-Khintchine theorem
The Nyquist Theorem
Applications of the Nyquist Theorem
Brownian Movement
Fokker-Planck Equation
Thermodynamics of Irreversible Process and the Onsager Reciprocal Relations
Application of the Onsager Relations to Charge and Energy Transport in a Homogeneous Conductor
Principle of Minimum Entropy Production
Kinetic Methods and Transport Theory
Detailed Balance and the H-theorem
Applications of the Principle of Detailed Balance
Statistical Mechanics and the Compound Nucleus
Use of a Kinetic Equation in Relaxation Problems
Boltzmann Transport Equation
Electrical and Thermal Conductivity in an Electron Gas
Magnetoresistance
Calculation of Viscosity from the Boltzmann Equation
Kramers-Kronig Relations
Laws of Rarefied Gases
Appendix
Method of Steepest Descent
Dirichlet Discontinuous Factor
Solutions of Problems in Molecular Dynamics Using Electronic Computers
Virial Theorem

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