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More copies of this ISBNOther titles in the Dover Books on Physics series:
Statistical Mechanics: Principles and Applicationsby Terrell L. Hill
Synopses & ReviewsPublisher Comments:"Excellent … a welcome addition to the literature on the subject." — Science Before the publication of this standard, oftcited book, there were few if any statisticalmechanics texts that incorporated reviews of both fundamental principles and recent developments in the field. In this volume, Professor Hill offers just such a dual presentation — a useful account of basic theory and of its applications, made accessible in a comprehensive format. The book opens with concise, unusually clear introductory chapters on classical statistical mechanics, quantum statistical mechanics and the relation of statistical mechanics to thermodynamics. Then follows a wideranging, detailed examination of various applications. Chapter 4 deals with fluctuations. The fifth chapter treats the theory of imperfect gases and condensation, largely following Mayer's theory but also giving some new, alternative derivations and discussing in the final section Yang and Lee's theory. The sixth chapter is devoted to a discussion of distribution functions and the theory of the liquid state. Chapter 7 deals with nearestneighbor (Ising) lattice statistics, while the last chapter discusses freevolume and hole theories of liquids and solids. Written primarily for graduate students and researchers in chemistry, physics and biology who already have some acquaintance with statistical mechanics, the book lends itself to use as a text for a second course in statistical mechanics, as a supplement to a first course or for selfstudy or reference. The level is neither introductory nor highly sophisticated; the author has generally emphasized material that is not available in other books. In addition, selected bibliographic references at the end of each chapter suggest supplementary reading. Synopsis:Standard text covers classical statistical mechanics, quantum statistical mechanics, relation of statistical mechanics to thermodynamics, plus fluctuations, theory of imperfect gases and condensation, distribution functions and the liquid state, more. Synopsis:Standard text opens with clear, concise chapters on classical statistical mechanics, quantum statistical mechanics, and the relation of statistical mechanics to thermodynamics. Further topics cover fluctuations, the theory of imperfect gases and condensation, distribution functions and the liquid state, nearest neighbor (Ising) lattice statistics, and more. Table of ContentsFOREWORD by John. G. Kirkwood
PREFACE CHAPTER 1. PRINCIPLES OF CLASSICAL STATISTICAL MECHANICS 1. Statistical Mechanics and Thermodynamics 2. Phase Space 3. Ensembles 4. Postulate on the Use of Ensemble Averages 5. Postulate on the Form of the Distribution Function 6. Grand Ensembles 7. Ergodic Theory CHAPTER 2. PRINCIPLES OF QUANTUM STATISTICAL MECHANICS 8. Review of Quantum Mechanics 9. Ensembles and Ensemble Averages in Quantum Statistical Mechanics 10. Postulate on the Use of Ensemble Averages 11. Postulate on the Form of the Density Matrix 12. Grand Ensembles 13. Derivation of Generalized Ensembles from the Microcanonical Ensemble CHAPTER 3. STATISTICAL MECHANICS AND THERMODYNAMICS 14. Association of Thermodynamic Variables with Statistical Mechanical Quantities 15. Summary of Ensembles 16. Transition from Quantum to Classical Statistics 17. Entropy and Irreversibility in Thermodynamics CHAPTER 4. FLUCTUATIONS 18. Introduction 19. Fluctuations According to the Various Ensembles 20. Thermodynamic Equivalence of Ensembles 21. Composition Fluctuations in Multicomponent Systems CHAPTER 5. THEORY OF IMPERFECT GASES AND CONDENSATION 22. The Partition Function and Cluster Integrals 23. Pressure of the Gas Expressed as a Power Series in the Activity 24. Irreducible Cluster Integrals 25. The Virial Expansion for the Gas 26. Alternative Derivations 27. Exact Treatment of Physical Clusters 28. Theory of Condensation CHAPTER 6. DISTRIBUTION FUNCTIONS AND THE THEORY OF THE LIQUID STATE A. CANONICAL ENSEMBLE 29. Definition of Distribution and Correlation Functions 30. Thermodynamic Functions of a Fluid and the Radial Distribution Function 31. Potential of Mean Force and the Superposition Approximation 32. The Kirkwood Integral Equation 33. The BornGreenYvon Integral Equation 34. Radial Distribution Function and Superposition Approximation in Gases 35. Fluid of Hard Spheres According to the Superposition Approximation 36. Fluid with Modified LennardJones Molecular Interaction Potential According to the Superposition Approximation B. GRAND CANONICAL ENSEMBLE 37. "Distribution Functions in Monatomic, Onecomponent Systems" 38. The KirkwoodSalsburg Integral Equation 39. Distribution Functions at a Phase Transition 40. "Distribution Functions in Polyatomic, Multicomponent Systems" CHAPTER 7. NEARESTNEIGHBOR LATTICE STATISTICS 41. Thermodynamics and Interconnections 42. Exat and Formal Methods 43. Onedimensional Lattice 44. Twodimensional Lattice 45. Threedimensional Lattice 46. Approximate Methods CHAPTER 8. LATTICE THEORIES OF THE LIQUID AND SOLID STATES 47. Communal Entropy and Free Volume 48. General Freevolume Theory 49. The LennardJones and Devonshire Theory 50. Hole Theories of the Liquid and Solid States APPENDIXES 1. Natural Constants 2. "Onecomponent, Perfect Monatomic Gas" 3. Binary Perfectgas Mixture 4. Onecomponent Perfect Lattice Gas 5. Multilayer Gas Adsorption 6. Quantum and Classical Limits 7. Normalization of Radial Distribution Function 8. Glossary of Certain Definitions in Chapter 7 9. Firstorder Phase Transitions 10. Gas Adsorption on a Solid Surface INDEX What Our Readers Are SayingBe the first to add a comment for a chance to win!Product Details
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