Statistical Mechanics: Entropy, Order Parameters, and Complexity (Paperback)

James P. Sethna

ISBN 10: 0198865252 / ISBN 13: 9780198865254

Editore: Oxford University Press, Oxford, 2021

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Paperback. Statistical mechanics is our tool for deriving the laws that emerge from complex systems. Sethna's text distills the subject to be accessible to those in all realms of science and engineering -- avoiding extensive use of quantum mechanics, thermodynamics, and molecular physics. Statistical mechanics explains how bacteria search for food, and how DNA replication is proof-read in biology; optimizes data compression, and explains transitions in complexity in computerscience; explains the onset of chaos, and launched random matrix theory in mathematics; addresses extreme events in engineering; and models pandemics and language usage in the social sciences.Sethna's exercises introduce physicists to these triumphs and a hundred others -- broadening the horizons of scholars both practicing and nascent. Flipped classrooms and remote learning can now rely on 33 pre-class exercises that test reading comprehension (Emergent vs. fundamental; Weirdness in high dimensions; Aging, entropy and DNA), and 70 in-class activities that illuminate and broaden knowledge (Card shuffling; Human correlations; Crackling noises). Science is awash in information,providing ready access to definitions, explanations, and pedagogy. Sethna's text focuses on the tools we use to create new laws, and on the fascinating simple behavior in complex systems that statisticalmechanics explains. A new and updated edition of the successful Statistical Mechanics: Entropy, Order Parameters and Complexity from 2006. Statistical mechanics is a core topic in modern physics. Innovative, fresh introduction to the broad range of topics of statistical mechanics today, by brilliant teacher and renowned researcher. Shipping may be from multiple locations in the US or from the UK, depending on stock availability. Codice articolo 9780198865254

Dati bibliografici

Titolo: Statistical Mechanics: Entropy, Order ...

Casa editrice: Oxford University Press, Oxford

Data di pubblicazione: 2021

Legatura: Paperback

Condizione: new

Edizione: seconda edizione