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Thermodynamic Formalism: The Mathematical Structure of Equilibrium Statistical Mechanics

Paperback / softback

Main Details

Title Thermodynamic Formalism: The Mathematical Structure of Equilibrium Statistical Mechanics
Authors and Contributors      By (author) David Ruelle
SeriesCambridge Mathematical Library
Physical Properties
Format:Paperback / softback
Pages:196
Dimensions(mm): Height 229,Width 152
Category/GenreCalculus and mathematical analysis
ISBN/Barcode 9780521546492
ClassificationsDewey:515.42
Audience
Professional & Vocational
Edition 2nd Revised edition
Illustrations Worked examples or Exercises

Publishing Details

Publisher Cambridge University Press
Imprint Cambridge University Press
Publication Date 25 November 2004
Publication Country United Kingdom

Description

Reissued in the Cambridge Mathematical Library this classic book outlines the theory of thermodynamic formalism which was developed to describe the properties of certain physical systems consisting of a large number of subunits. It is aimed at mathematicians interested in ergodic theory, topological dynamics, constructive quantum field theory, the study of certain differentiable dynamical systems, notably Anosov diffeomorphisms and flows. It is also of interest to theoretical physicists concerned with the conceptual basis of equilibrium statistical mechanics. The level of the presentation is generally advanced, the objective being to provide an efficient research tool and a text for use in graduate teaching. Background material on mathematics has been collected in appendices to help the reader. Extra material is given in the form of updates of problems that were open at the original time of writing and as a new preface specially written for this new edition by the author.

Author Biography

David Ruelle is a Professor Emeritus at Institut des Hautes etudes Scientifiques, Bures-sur-Yvette, Paris.

Reviews

'This is the second edition of the already classical book on the theory of thermodynamic formalism by David Ruelle.' Monatshefte fur Mathematik