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Cover

Statistical Mechanics

Entropy, Order Parameters and Complexity

James Sethna

06 April 2006

ISBN: 9780198566779

384 pages
Paperback
246x189mm

In Stock

Oxford Master Series in Physics

Price: £32.49

Sethna's book distills the core ideas of statistical mechanics to make room for new advances important to information theory, complexity, and modern biology. Aimed at advanced undergraduates and early graduate students, Sethna's text explores everything from chaos through information theory to life at the end of the universe.

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Description

Sethna's book distills the core ideas of statistical mechanics to make room for new advances important to information theory, complexity, and modern biology. Aimed at advanced undergraduates and early graduate students, Sethna's text explores everything from chaos through information theory to life at the end of the universe.

  • Broad principles widely applicable in modern physics, computer science, mathematics, complexity theory, and biology.
  • Exciting exercises, introducing new fields and illustrating broad principles.
  • Powerful, advanced methods presented simply - new, modern concepts distilled and incorporated into undergraduate-level presentation.
  • Hundreds of illustrations and figures illustrating theory, experiment, and applications.
  • Hundreds of marginal notes providing background, illustration, vocabulary, and advanced concepts.

About the Author(s)

James Sethna, Laboratory of Atomic and Solid State Physics, Cornell University

Please click here for more information on author's website

Table of Contents

    1:What is Statistical Mechanics?
    2:Random walks and emergent properties
    3:Temperature and equilibrium
    4:Phase-space dynamics and ergodicity
    5:Entropy
    6:Free Energies
    7:Quantum statistical mechanics
    8:Calculation and computation
    9:Order parameters, broken symmetry, and topology
    10:Correlations, response, and dissipation
    11:Abrupt phase transitions
    12:Continuous phase transitions
    Appendix: Fourier methods

Reviews

"The author's style, although quite concentrated, is simple to understand, and has many lovely visual examples to accompany formal ideas and concepts, which makes the exposition live and intuitvely appealing." - Olga K. Dudko, Journal of Statistical Physics, Vol 126

"Since the book treats intersections of mathematics, biology, engineering, computer science and social sciences, it will be of a great help to researchers in these fields in making statistical mechanics useful and comprehensible. At the same time, the book will enrich the subject for researchers-physicists who'd like to apply their skills in other disciplines." - Olga K. Dudko, Journal of Statistical Physics, Vol 126

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