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Statistical Mechanics
Entropy, Order Parameters, and Complexity
James Sethna
374 pages
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210 line drawings
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246x189mm
978-0-19-856676-2
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Hardback
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06 April 2006
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This item is printed to order and supplied on a firm sale basis. Items which are printed to order are normally despatched and charged within 5-10 days.
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- 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.
Readership: Undergraduate and graduate student classes in physics teaching statistical mechanics, particularly in departments interested in reaching out to students in related fields of mathematics, computer science, biology, and engineering.
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James Sethna, Laboratory of Atomic and Solid State Physics, Cornell University
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"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
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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
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The specification in this catalogue, including without limitation price, format, extent, number of illustrations, and month of publication, was as accurate as possible at the time the catalogue was compiled. Occasionally, due to the nature of some contractual restrictions, we are unable to ship a specific product to a particular territory. Jacket images are provisional and liable to change before publication.
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