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Computational Ergodic Theory / by Geon Ho Choe
(Algorithms and Computation in Mathematics ; 13)

Edition 1st ed. 2005.
Publisher (Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer)
Year 2005
Language English
Size XX, 453 p. 250 illus : online resource
Authors *Choe, Geon Ho author
SpringerLink (Online service)
Subjects LCSH:Dynamical systems
LCSH:Mathematical physics
LCSH:Engineering mathematics
LCSH:Engineering -- Data processing  All Subject Search
FREE:Dynamical Systems
FREE:Theoretical, Mathematical and Computational Physics
FREE:Mathematical and Computational Engineering Applications
Notes Prerequisites -- Invariant Measures -- The Birkhoff Ergodic Theorem -- The Central Limit Theorem -- More on Ergodicity -- Homeomorphisms of the Circle -- Mod 2 Uniform Distribution -- Entropy -- The Lyapunov Exponent: One-Dimensional Case -- The Lyapunov Exponent: Multidimensional Case -- Stable and Unstable Manifolds -- Recurrence and Entropy -- Recurrence and Dimension -- Data Compression
Ergodic 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
HTTP:URL=https://doi.org/10.1007/b138894
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Springer eBooks 9783540273059
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EB00232562

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Material Type E-Book
Classification LCC:QA843-871
DC23:515.39
ID 4000134351
ISBN 9783540273059

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