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OverviewErgodic theory is hard to study because it is based on measure theory, which is a technically difficult subject to master for ordinary students, especially for physics majors. Many of the examples are introduced from a different perspective than in other books and theoretical ideas can be gradually absorbed while doing computer experiments. Theoretically less prepared students can appreciate the deep theorems by doing various simulations. The computer experiments are simple but they have close ties with theoretical implications. Even the researchers in the field can benefit by checking their conjectures, which might have been regarded as unrealistic to be programmed easily, against numerical output using some of the ideas in the book. One last remark: The last chapter explains the relation between entropy and data compression, which belongs to information theory and not to ergodic theory. It will help students to gain an understanding of the digital technology that has shaped the modern information society. Full Product DetailsAuthor: Geon Ho ChoePublisher: Springer Imprint: Springer Dimensions: Width: 23.40cm , Height: 2.40cm , Length: 15.60cm Weight: 0.662kg ISBN: 9783540803966ISBN 10: 3540803963 Pages: 476 Publication Date: 04 September 2008 Audience: General/trade , General Format: Undefined Publisher's Status: Unknown Availability: Out of stock Table of ContentsReviews<p>From the reviews: <p> When I first read the title of this book I thought it would be about a subfield of ergodic theory, but it is not. It is an introduction to ergodic theory that utilizes computer experiments to illustrate the basic ideas and examples of the subject. Given the historical roots of ergodic theory, this approach seems entirely appropriate. [ ]<p>The book is designed so that the Maple experiments are an integral part of the book. The author includes actual Maple programs. There are numerical simulations, symbolic computations and graphics programs. The subjects covered in the book are chosen so that the Maple experimetns can give insight into the examples and theorems. Most of the basic ideas and examples of ergodic theory are covered and all have Maple programs to illustrate them. Some more advanced topics are also covered, including homeomorphisms of the circle, Lyapunov exponents, Hausdorff dimension and data compression. It provides a mathematical introduction to Author InformationTab Content 6Author Website:Countries AvailableAll regions |
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