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- Title: Statistical Mechanics of Lattice Systems: A Concrete Mathematical Introduction
- Author(s) Sacha Friedli and Yvan Velenik
- Publisher: The MIT Press; 2nd edition (February 6, 2015); eBook (Updated Version, April 8 2022)
- Note: "We keep on this page an up-to-date list of corrections to the book"
- Hardcover: 640 pages
- eBook: PDF (590 pages) and PDF Files
- Language: English
- ISBN-10: 1107184827
- ISBN-13: 978-1107184824
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This motivating textbook gives a friendly, rigorous introduction to fundamental concepts in equilibrium statistical mechanics, covering a selection of specific models, including the Curie–Weiss and Ising models, the Gaussian free field, O(n) models, and models with Kać interactions. Using classical concepts such as Gibbs measures, pressure, free energy, and entropy, the book exposes the main features of the classical description of large systems in equilibrium, in particular the central problem of phase transitions.
It treats such important topics as the Peierls argument, the Dobrushin uniqueness, Mermin–Wagner and Lee–Yang theorems, and develops from scratch such workhorses as correlation inequalities, the cluster expansion, Pirogov–Sinai Theory, and reflection positivity.
Written as a self-contained course for advanced undergraduate or beginning graduate students, the detailed explanations, large collection of exercises (with solutions), and appendix of mathematical results and concepts also make it a handy reference for researchers in related areas.
About the Authors- Sacha Friedli is Associate Professor of Mathematics at the Universidade Federal de Minas Gerais, Brazil. His current research interests are in statistical mechanics, mathematical physics, and Markov processes.
- Yvan Velenik is Professor of Mathematics at the Université de Genève. His current work focuses on applications of probability theory to the study of classical statistical mechanics, especially lattice random fields and random walks.
- Physics, Computational Physics, and Mathematical Physics
- Statistics, Mathematical Statistics, and SAS® Programming
- Applied Mathematics
- Calculus and Mathematical Analysis (Real Analysis, Functional Analysis, etc.)

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