Statistical Mechanics: Entropy, Order Parameters, and Complexity - Second Edition
Reduzierte Artikel in dieser Kategorie
| Verlag | Oxford University Press |
| Auflage | 2021 |
| Seiten | 496 |
| Format | 19 x 2,4 x 24,8 cm |
| Gewicht | 1033 g |
| Artikeltyp | Englisches Buch |
| Reihe | Oxford Master Series in Physics 14 |
| EAN | 9780198865254 |
| Bestell-Nr | 19886525EA |
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.
Klappentext:
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 ofscholars 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 D NA), 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 tocreate new laws, and on the fascinating simple behavior in complex systems that statistical mechanics explains.
Rezension:
Review from previous edition Since the book treats intersections of mathematics, biology, engineering, computer science and social sciences, it will be of 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 physicists who'd like to apply their skills in other disciplines. [...] 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