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Perspectives on Statistical Thermodynamics

£54.99

  • Date Published: December 2017
  • availability: In stock
  • format: Hardback
  • isbn: 9781107154018

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  • This original text develops a deep, conceptual understanding of thermal physics, highlighting the important links between thermodynamics and statistical physics, and examining how thermal physics fits within physics as a whole, from an empirical perspective. The first part of the book is devoted to elementary, mesoscopic topics such as Brownian motion, which leads to intuitive uses of large deviation theory, one of the pillars of modern probability theory. The book then introduces the key concepts behind statistical thermodynamics, and the final part describes more advanced and applied topics from thermal physics such as phase transitions and critical phenomena. This important subject is presented from a fresh perspective and in a highly pedagogical manner, with numerous worked examples and relevant cultural side notes throughout, making it ideal as either a textbook for advanced thermal physics courses or for self-study by undergraduate and graduate students in physics and engineering.

    • By drawing an intuitive connection between thermodynamics and statistical mechanics readers are given a coherent and well-rounded understanding of the key issues within both disciplines
    • Conceptual descriptions are favoured over long mathematical derivations, allowing readers to gain a clear appreciation of the physics behind complex topics in thermal physics
    • Includes numerous, detailed worked examples, which reinforce key concepts in the subject and introduce more advanced material of current interest to researchers
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    Reviews & endorsements

    'This is a delightful book quite different from most textbooks. It will be enjoyed by teachers, students and researchers.' Joel Lebowitz, Rutgers University

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    Product details

    • Date Published: December 2017
    • format: Hardback
    • isbn: 9781107154018
    • length: 476 pages
    • dimensions: 253 x 192 x 28 mm
    • weight: 1.33kg
    • contains: 141 b/w illus. 5 tables 114 exercises
    • availability: In stock
  • Table of Contents

    Preface
    Self-study guide
    List of Symbols
    Part I. Introduction:
    1. Introduction
    2. Atomic picture of gases
    3. Introduction to probability
    4. Law of large numbers
    5. Maxwell's distribution
    6. Delta function and density distribution functions
    7. Mean free path and diffusion
    8. Introduction to transport phenomena
    9. Brownian motion
    10. Langevin equation and large deviation
    Part II. Statistical Thermodynamics: Basics:
    11. Macrosystems in equilibrium
    12. Thermodynamic description
    13. Basic thermodynamics
    14. Thermodynamics: general consequences
    15. Entropy through examples
    16. Free energy and convex analysis
    17. Introduction to statistical mechanics
    18. Statistical mechanics of isothermal systems
    19. Canonical density operator
    20. Classical canonical ensemble
    21. Information and entropy
    22. Information and thermodynamics
    23. Oscillators at low temperatures
    24. How to manipulate partial derivatives
    25. Thermodynamic stability
    26. Fluctuation and response
    27. Chemical potential
    28. Grand canonical ensemble
    29. Ideal quantum systems at low temperatures
    30. Photons and internal motions
    Part III. Elements of Phase Transition:
    31. Phases and phase transitions
    32. Phase transition in d-space
    33. Critical phenomena and renormalization
    34. Mean field and transfer matrix
    35. Symmetry breaking
    36. First order phase transition
    Appendix. Introduction to mechanics
    References
    Index.

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    Perspectives on Statistical Thermodynamics

    Yoshitsugu Oono

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  • Author

    Yoshitsugu Oono, University of Illinois, Urbana-Champaign
    Yoshitsugu Oono is a Professor of Physics at the University of Illinois, Urbana-Champaign, where he currently teaches the statistical physics courses. His research interests focus on nonequilibrium statistical thermodynamics and theory of biological systems.

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