
Ergodic Theory and Dynamical Systems
Yves Coudène(Author)
Springer (Publisher)
1st Edition
Published on 21. November 2016
Book
Paperback/Softback
XIII, 190 pages
978-1-4471-7285-7 (ISBN)
Description
This textbook is a self-contained and easy-to-read introduction to ergodic theory and the theory of dynamical systems, with a particular emphasis on chaotic dynamics.
This book contains a broad selection of topics and explores the fundamental ideas of the subject. Starting with basic notions such as ergodicity, mixing, and isomorphisms of dynamical systems, the book then focuses on several chaotic transformations with hyperbolic dynamics, before moving on to topics such as entropy, information theory, ergodic decomposition and measurable partitions. Detailed explanations are accompanied by numerous examples, including interval maps, Bernoulli shifts, toral endomorphisms, geodesic flow on negatively curved manifolds, Morse-Smale systems, rational maps on the Riemann sphere and strange attractors.
Ergodic Theory and Dynamical Systems will appeal to graduate students as well as researchers looking for an introduction to the subject. While gentle on the beginning student, the book also contains a number of comments for the more advanced reader.
This book contains a broad selection of topics and explores the fundamental ideas of the subject. Starting with basic notions such as ergodicity, mixing, and isomorphisms of dynamical systems, the book then focuses on several chaotic transformations with hyperbolic dynamics, before moving on to topics such as entropy, information theory, ergodic decomposition and measurable partitions. Detailed explanations are accompanied by numerous examples, including interval maps, Bernoulli shifts, toral endomorphisms, geodesic flow on negatively curved manifolds, Morse-Smale systems, rational maps on the Riemann sphere and strange attractors.
Ergodic Theory and Dynamical Systems will appeal to graduate students as well as researchers looking for an introduction to the subject. While gentle on the beginning student, the book also contains a number of comments for the more advanced reader.
Reviews / Votes
"This textbook is addressed to graduate students as well as to researchers who are not experts in ergodic theory and theory of dynamical systems. For an introduction to the subject it is a very good modern source." (Ivan Podvigin, zbMATH, August, 2017)"This 200-page book covers most relevant topics for a course in ergodic theory and dynamical systems, addressing topological and measure theoretic perspectives, and including notions of entropy. The subjects are illustrated with selected examples and bibliographical notes on the development of the theory. It is a delightful brief introduction, designed to be a course book on the theme." (Túlio O. Carvalho, Mathematical Reviews, August, 2017)
More details
Series
Edition
1st ed. 2016
Language
English
Place of publication
London
United Kingdom
Target group
Primary & secondary/elementary & high school
Illustrations
48 s/w Abbildungen, 1 farbige Abbildung
XIII, 190 p. 49 illus., 1 illus. in color.
Dimensions
Height: 235 mm
Width: 155 mm
Thickness: 12 mm
Weight
318 gr
ISBN-13
978-1-4471-7285-7 (9781447172857)
DOI
10.1007/978-1-4471-7287-1
Schweitzer Classification
Other editions
Additional editions

Yves Coudène
Ergodic Theory and Dynamical Systems
E-Book
11/2016
Springer
€80.24
Available for download
Persons
Yves Coudène is a full professor at Brest University, France. His research areas include hyperbolic dynamics, ergodic theory and the geometry of negatively curved spaces.
Content
Introduction.- Part I Ergodic Theory.- The Mean Ergodic Theorem.- The Pointwise Ergodic Theorem.- Mixing.- The Hopf Argument.- Part II Dynamical Systems.- Topological Dynamics.- Nonwandering.- Conjugation.- Linearization.- A Strange Attractor.- Part III Entropy Theory.- Entropy.- Entropy and Information Theory.- Computing Entropy.- Part IV Ergodic Decomposition.- Lebesgue Spaces and Isomorphisms.- Ergodic Decomposition.- Measurable Partitions and -Algebras.- Part V Appendices.- Weak Convergence.- Conditional Expectation.- Topology and Measures.- References.