Statistical mechanics is one of the most exciting areas of
physics today, and it also has applications to subjects as diverse
as economics, social behavior, algorithmic theory, and evolutionary
biology. "Statistical Mechanics in a Nutshell" offers the most
concise, self-contained introduction to this rapidly developing
field. Requiring only a background in elementary calculus and
elementary mechanics, this book starts with the basics, introduces
the most important developments in classical statistical mechanics
over the last thirty years, and guides readers to the very
threshold of today's cutting-edge research.
"Statistical Mechanics in a Nutshell" zeroes in on the most
relevant and promising advances in the field, including the theory
of phase transitions, generalized Brownian motion and stochastic
dynamics, the methods underlying Monte Carlo simulations, complex
systems--and much, much more. The essential resource on the
subject, this book is the most up-to-date and accessible
introduction available for graduate students and advanced
undergraduates seeking a succinct primer on the core ideas of
statistical mechanics.Provides the most concise, self-contained
introduction to statistical mechanics Focuses on the most promising
advances, not complicated calculations Requires only elementary
calculus and elementary mechanics Guides readers from the basics to
the threshold of modern research Highlights the broad scope of
applications of statistical mechanics
General
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