Authors:
- Includes supplementary material: sn.pub/extras
Part of the book series: Lecture Notes in Mathematics (LNM, volume 470)
Buy it now
Buying options
Tax calculation will be finalised at checkout
Other ways to access
This is a preview of subscription content, log in via an institution to check for access.
Table of contents (4 chapters)
-
Front Matter
-
Back Matter
About this book
For this printing of R. Bowen's book, J.-R. Chazottes has retyped it in TeX for easier reading, thereby correcting typos and bibliographic details.
From the Preface by D. Ruelle: "Rufus Bowen has left us a masterpiece of mathematical exposition... Here a number of results which were new at the time are presented in such a clear and lucid style that Bowen's monograph immediately became a classic. More than thirty years later, many new results have been proved in this area, but the volume is as useful as ever because it remains the best introduction to the basics of the ergodic theory of hyperbolic systems."
Authors and Affiliations
-
University of California at Berkeley, Berkeley, USA
Robert Edward (Rufus) Bowen
-
Centre de Physique Théorique, CNRS-École Polytechnique, Palaiseau Cedex, France
Jean-René Chazottes
-
IHÉS, Bures-sur-Yvette, France
David Ruelle
Bibliographic Information
Book Title: Equilibrium States and the Ergodic Theory of Anosov Diffeomorphisms
Authors: Robert Edward (Rufus) Bowen, Jean-René Chazottes, David Ruelle
Series Title: Lecture Notes in Mathematics
DOI: https://doi.org/10.1007/978-3-540-77695-6
Publisher: Springer Berlin, Heidelberg
eBook Packages: Mathematics and Statistics, Mathematics and Statistics (R0)
Copyright Information: Springer-Verlag Berlin Heidelberg 2008
Softcover ISBN: 978-3-540-77605-5Published: 18 April 2008
eBook ISBN: 978-3-540-77695-6Published: 04 April 2008
Series ISSN: 0075-8434
Series E-ISSN: 1617-9692
Edition Number: 2
Number of Pages: VIII, 76
Number of Illustrations: 10 b/w illustrations
Topics: Dynamical Systems and Ergodic Theory, Manifolds and Cell Complexes (incl. Diff.Topology), Probability Theory and Stochastic Processes