An Introduction to Statistical Mechanics and Thermodynamics: (Oxford Graduate Texts)

An Introduction to Statistical Mechanics and Thermodynamics returns with a second edition which includes new chapters, further explorations, and updated information into the study of statistical mechanics and thermal dynamics.The first part of the book derives the entropy of the classical ideal gas, using only classical statistical mechanics and an analysis of multiple systems first suggested by Boltzmann. The properties of the entropy are then expressed as "postulates" of thermodynamics in the second part of the book. From these postulates, the formal structure of thermodynamics is developed. The third part of the book introduces the canonical and grand canonical ensembles, which are shown to facilitate calculations for many model systems. An explanation of irreversible phenomena that is consistent with time-reversal invariance in a closed system is presented. The fourth part of the book is devoted to quantum statistical mechanics, including black-body radiation, the harmonic solid, Bose-Einstein and Fermi-Dirac statistics, and an introduction to band theory, including metals, insulators, and semiconductors. The final chapter gives a brief introduction to the theory of phase transitions. Throughout the book, there is a strong emphasis on computational methods to make abstract concepts more concrete.

Table of Contents:
Preface Introduction1: Part 1 Entropy 2: The Classical Ideal Gas 3: Discrete Probability Theory 4: The Classical Ideal Gas: Configurational Entropy 5: Continuous Random Numbers 6: The Classical Ideal Gas: Energy-Dependence of Entropy 7: Classical Gasses: Ideal and Otherwise 8: Temperature Pressure, Chemical Potential, and All That Part 2 Thermodynamics 9: The Postulates and Laws of Thermodynamics 10: Perturbations of Thermodynamic State Functions 11: Thermodynamics Processes 12: Thermodynamic Potentials 13: The Consequences of Extensivity 14: Thermodynamic Identities 15: Extremum Principles 16: Stability Conditions 17: Phase Transitions 18: The Nernst Postulate: the Third Law of Thermodynamics Part 3 Classical Statistical Mechanics 19: Ensembles in Classical Statistical Mechanics 20: Classical Ensembles: Grand and Otherwise 21: Refining the Definition of Entropy 22: Irreversibility Part 4 Quantum Statistical Mechanics 23: Quantum Ensembles 24: Quantum Canonical Ensemble 25: Black-Body Radiation 26: The Harmonic Solid 27: Ideal Quantum Gases 28: Bose-Einstein Statistics 29: Fermi-Dirac Statistics 30: Insulators and Semiconductors 31: Phase Transitions and the Ising Model Appendix Appendix: Computer Calculations and VPython Index Index Free

About the Author :
Robert Swendsen received his BS from Yale and his PhD from the University of Pennsylvania. He did postdoctoral work at the Universität zu Köln, Germany, the Kernforschungsanlage in Jülich, Germany, and Brookhaven National Laboratory. From 1978 to 1984 he worked at the IBM Zurich Research Center. In 1984, he joined Carnegie Mellon University. He is a Fellow of both the American Physical Society and the American Association for the Advancement of Science. He was given an IBM Outstanding Achievement Award in 1981 and shared a Forefronts of Large-Scale Computational Problems Award with S. Kumar, J.M. Rosenberg, and P.A. Kollman in 1991. He was awarded the 2014 Aneesur Rahman Prize for Computational Physics and the 2014 Julius Ashkin Teaching Award in the Mellon College of Science at Carnegie Mellon University.

Review :
Review from previous edition In his innovative new text, Carnegie Mellon University physics professor Robert Swendsen presents the foundations of statistical mechanics with, as he puts it, a detour through thermodynamics. That's a desirable strategy because the statistical approach is more fundamental than the classical thermodynamics approach and has many applications to current research problems. [] The mathematical notation is carefully introduced and useful; the selected mathematical techniques are clearly explained in a conversational style that both graduate and advanced undergraduate students will find easy to follow. The author's subject organization and conceptual viewpoint address some of the shortcomings of conventional developments of thermal physics and will be helpful to students and researchers seeking a deep appreciation of statistical physics. Bob Swendsen's book is very well thought out, educationally sound, and more original than other texts. Robert Swendsen is a well-respected researcher who has developed many novel algorithms that illustrate his deep understanding of statistical mechanics. His textbook reflects his deep understanding and will likely have a major impact on the way statistical mechanics and thermodynamics is taught. Particularly noteworthy is Swendsen's treatment of entropy, following Boltzmann's original definition in terms of probability, and his comprehensive discussion of the fundamental principles and applications of statistical mechanics and thermodynamics. Students and instructors will enjoy reading the book as much as Swendsen obviously enjoyed writing it. In this reader-friendly, excellent text, the author provides a unique combination of the best of two worlds: traditional thermodynamics (following Callen's footsteps) and modern statistical mechanics (including VPython codes for simulations). Swendsen is famous for developing Monte Carlo algorithms which dramatically speed up the simulation of many systems near a phase transition. The ideas for those algorithms required deep understanding of statistical mechanics, an understanding which is now fully applied to this excellent textbook.