Logo

Statistical Mechanics of Lattice Systems

Small book cover: Statistical Mechanics of Lattice Systems

Statistical Mechanics of Lattice Systems
by

Publisher: Cambridge University Press
ISBN-13: 9781107184824
Number of pages: 590

Description:
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 Kac interactions.

Home page url

Download or read it online for free here:
Download link
(5.6MB, PDF)

Similar books

Book cover: Elements of Phase Transitions and Critical PhenomenaElements of Phase Transitions and Critical Phenomena
by - Oxford University Press
This book provides an introductory account on the theory of phase transitions and critical phenomena, a subject now recognized to be indispensable for students and researchers from many fields of physics and related disciplines.
(1208 views)
Book cover: Statistical PhysicsStatistical Physics
by - University of Oslo
Statistical physics is a highly active part of physics. Many types of nonlinear systems are beyond our present understanding and theoretical tools. The purpose of this course is to acquaint you with the central issues of statistical mechanics.
(15355 views)
Book cover: Thermodynamics and Statistical Mechanics: An intermediate level courseThermodynamics and Statistical Mechanics: An intermediate level course
by - Lulu.com
Set of lecture notes for an upper-division thermodynamics and statistical mechanics course. Covered topics are classical thermodynamics, the thermodynamics of the atmosphere, heat engines, specific heat capacities of gases and solids, etc.
(20630 views)
Book cover: A Basic Introduction to Large Deviations: Theory, Applications, SimulationsA Basic Introduction to Large Deviations: Theory, Applications, Simulations
by - arXiv
The theory of large deviations deals with the probabilities of rare events that are exponentially small as a function of some parameter, e.g., the number of random components of a system or the time over which a stochastic system is observed.
(8878 views)