|Preview Material|| || || || || || |
University Lecture Series
2000; 103 pp; softcover
List Price: US$29
Member Price: US$23.20
Order Code: ULECT/19
This book presents a mathematically rigorous approach to the main ideas and phenomena of statistical physics. The introduction addresses the physical motivation, focussing on the basic concept of modern statistical physics, that is the notion of Gibbsian random fields.
Properties of Gibbsian fields are analyzed in two ranges of physical parameters: "regular" (corresponding to high-temperature and low-density regimes) where no phase transition is exhibited, and "singular" (low temperature regimes) where such transitions occur.
Next, a detailed approach to the analysis of the phenomena of phase transitions of the first kind, the Pirogov-Sinai theory, is presented. The author discusses this theory in a general way and illustrates it with the example of a lattice gas with three types of particles. The conclusion gives a brief review of recent developments arising from this theory.
The volume is written for the beginner, yet advanced students will benefit from it as well. The book will serve nicely as a supplementary textbook for course study. The prerequisites are an elementary knowledge of mechanics, probability theory and functional analysis.
Graduate students and research mathematicians interested in statistical mechanics and the structure of matter; physicists, chemists, and computer scientists interested in networks.
"This book presents a mathematically rigorous approach to the main ideas and phenomena of statistical physics ... The book will serve nicely as a supplementary textbook for course study."
-- Zentralblatt MATH
"The author presents a concise introduction to the subject ... This new textbook will surely find its place among existing monographs."
-- European Mathematical Society Newsletter
"This work can serve as a clear and concise introduction for researchers interested in the mathematical theory of classical statisical mechanics."
-- Mathematical Reviews
Table of Contents
AMS Home |
© Copyright 2014, American Mathematical Society