Written by a world-renowned theoretical physicist, Introduction
to Statistical Physics, Second Edition clarifies the properties of
matter collectively in terms of the physical laws governing atomic
motion. This second edition expands upon the original to include
many additional exercises and more pedagogically oriented
discussions that fully explain the concepts and applications.
The book first covers the classical ensembles of statistical
mechanics and stochastic processes, including Brownian motion,
probability theory, and the Fokker-Planck and Langevin equations.
To illustrate the use of statistical methods beyond the theory of
matter, the author discusses entropy in information theory,
Brownian motion in the stock market, and the Monte Carlo method in
computer simulations. The next several chapters emphasize the
difference between quantum mechanics and classical mechanics-the
quantum phase. Applications covered include Fermi statistics and
semiconductors and Bose statistics and Bose-Einstein condensation.
The book concludes with advanced topics, focusing on the
Ginsburg-Landau theory of the order parameter and the special kind
of quantum order found in superfluidity and superconductivity.
Assuming some background knowledge of classical and quantum
physics, this textbook thoroughly familiarizes advanced
undergraduate students with the different aspects of statistical
physics. This updated edition continues to provide the tools needed
to understand and work with random processes.
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