Statistical Mechanics

Entropy, Order Parameters, and Complexity

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

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Hardback

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English

Oxford University Press
01 May 2006

Probability & statistics; Maths for scientists; Cosmology & the universe; Quantum physics (quantum mechanics & quantum field theory); Statistical physics; Thermochemistry & chemical thermodynamics; Mechanical engineering & materials

Series: Oxford Master Series in Physics

In each generation, scientists must redefine their fields: abstracting, simplifying and distilling the previous standard topics to make room for new advances and methods. Sethna's book takes this step for statistical mechanics--a field rooted in physics and chemistry whose ideas and methods are now central to information theory, complexity, and modern biology. Aimed at advanced undergraduates and early graduate students in all of these fields, Sethna limits his main presentation to the topics that future mathematicians and biologists, as well as physicists and chemists, will find fascinating and central to their work. The amazing breadth of the field is reflected in the author's large supply of carefully crafted exercises, each an introduction to a whole field of study: everything from chaos through information theory to life at the end of the universe.

By: James Sethna (Laboratory of Atomic and Solid State Physics Cornell University)
Imprint: Oxford University Press
Country of Publication: United Kingdom
Volume: 14
Dimensions: Height: 254mm, Width: 195mm, Spine: 27mm
Weight: 917g
ISBN: 9780198566762
ISBN 10: 019856676X
Series: Oxford Master Series in Physics
Pages: 374
Publication Date: 01 May 2006
Audience: Professional and scholarly , Undergraduate
Format: Hardback
Publisher's Status: Active

Prof. James P. Sethna is Professor of Physics, Laboratory of Atomic and Solid State Physics, Cornell University, Ithaca, NY.

Reviews for Statistical Mechanics: Entropy, Order Parameters, and Complexity

Sethna's book provides an important service to students who want to learn modern statistical mechanics. The text teaches students how to work out problems by guiding them through the exercises rather than by presenting them with worked-out examples. Overall Statistical Mechanics is probably more appropriate as a textbook than a self-study guide. Susan Coppersmith, Physics Today, May 2007, page 65. 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 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