Statistical Mechanics

Entropy, Order Parameters and Complexity

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

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English

Oxford University Press
01 May 2006

Mathematics & Sciences; 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: No. 14
Dimensions: Height: 247mm, Width: 189mm, Spine: 22mm
Weight: 722g
ISBN: 9780198566779
ISBN 10: 0198566778
Series: Oxford Master Series in Physics
Pages: 384
Publication Date: 01 May 2006
Audience: Professional and scholarly , Undergraduate
Format: Paperback
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

`An extremely intelligent and elegant introduction to fundamental concepts, well suited for the beginning graduate level.' William Gelbart, University of California at Los Angeles