Overview
- The Italian 1980 version of Gallavotti's book on ergodic theory of maps is a classic and the scientific community will certainly welcome its rebirth in this completely rewritten and greatly enlarged English edition
- Includes supplementary material: sn.pub/extras
Part of the book series: Theoretical and Mathematical Physics (TMP)
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Table of contents (10 chapters)
Keywords
About this book
Reviews
From the reviews:
"The book is centered on the symbiotic relationship between ergodic theory and statistical mechanics, in particular on its modern applications to chaotic and non-chaotic dynamical systems. In slightly more than 400 pages the authors … discuss in detail important applications of the theory. This is achieved by treating many important and interesting questions as ‘guided problems’ … . the entire book is tightly and nicely knitted together." (Luc Rey-Bellet, Mathematical Reviews, 2005h)
"The main novelty is the systematic treatment of a few characteristic problems of ergodic theory by a unified method in terms of convergent or divergent power series expansions. … The problems at the end of every section are an essential complement to the text … ." (Nasir N. Ganikhodjaev, Zentralblatt MATH, Vol. 1065, 2005)
Authors and Affiliations
Bibliographic Information
Book Title: Aspects of Ergodic, Qualitative and Statistical Theory of Motion
Authors: Giovanni Gallavotti, Federico Bonetto, Guido Gentile
Series Title: Theoretical and Mathematical Physics
DOI: https://doi.org/10.1007/978-3-662-05853-4
Publisher: Springer Berlin, Heidelberg
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eBook Packages: Springer Book Archive
Copyright Information: Springer-Verlag Berlin Heidelberg 2004
Hardcover ISBN: 978-3-540-40879-6Published: 23 March 2004
Softcover ISBN: 978-3-642-07416-5Published: 19 October 2010
eBook ISBN: 978-3-662-05853-4Published: 09 March 2013
Series ISSN: 1864-5879
Series E-ISSN: 1864-5887
Edition Number: 1
Number of Pages: X, 440
Topics: Analysis, Complex Systems, Theoretical, Mathematical and Computational Physics, Classical and Continuum Physics, Statistical Physics and Dynamical Systems