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Mathematical Foundations of Statistical Mechanics by A. Ya. Khinchin ISBN: 0486601471 Dover Publications Price: $12.95 click here to see this book Phase space, ergodic problems, central limit theorem, dispersion and distribution of sum functions. Table of Contents for Mathematical Foundations of Statistical Mechanics Preface Chapter I. Introduction 1. A brief historical sketch 2. Methodological characterization Chapter II. Geometry and Kinematics of the Phase Space 3. The phase space of a mechanical system 4. Theorem of Liouville 5. Theorem of Birkhoff 6. Case of metric indecomposability 7. Structure functions 8. Components of mechanical systems Chapter III. Ergodic Problem 9. Interpretation of physical quantities in statistical mechanics 10. Fixed and free integrals 11. Brief historical sketch 12. On metric indecomposability of reduced manifolds 13. The possibility of a formulation without the use of metric indecomposability Chapter IV. Reduction to the Problem of the Theory of Probability 14. Fundamental distribution law 15. The distribution law of a component and its energy 16. Generating functions 17. Conjugate distribute functions 18. Systems consisting of a large number of components Chapter V. Application of the Central Limit Theorem 19. Approximate expressions of structure functions 20. The small component and its energy. Boltzmann's law 21. Mean values of the sum functions 22. Energy distribution law of the large component 23. Example of monatomic ideal gas 24. The theorem of equipartition of energy 25. A system in thermal equilibrium. Canonical distribution of Gibbs Chapter VI. Ideal Monatomic Gas 26. Velocity distribution. Maxwell's law 27. The gas pressure 28. Physical interpretation of the parameter 29. Gas pressure in an arbitrary field of force Chapter VII. The Foundation of Thermodynamics 30. External parameters and the mean values of external forces 31. The volume of the gas as an external parameter 32. The second law of thermodynamics 33. The properties of entropy 34. Other thermodynamical functions Chapter VIII. Dispersion and the Distributions of Sum Functions 35. The intermolecular correlation 36. Dispersion and distribution laws of the sum functions Appendix The proof of the central limit theorem of the theory of probability Notations Index

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