Random Dynamical Systems

Random Dynamical Systems
Author: Ludwig Arnold
Publisher: Springer Science & Business Media
Total Pages: 590
Release: 2013-04-17
Genre: Mathematics
ISBN: 3662128780

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The first systematic presentation of the theory of dynamical systems under the influence of randomness, this book includes products of random mappings as well as random and stochastic differential equations. The basic multiplicative ergodic theorem is presented, providing a random substitute for linear algebra. On its basis, many applications are detailed. Numerous instructive examples are treated analytically or numerically.


Random Dynamical Systems
Language: en
Pages: 590
Authors: Ludwig Arnold
Categories: Mathematics
Type: BOOK - Published: 2013-04-17 - Publisher: Springer Science & Business Media

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The first systematic presentation of the theory of dynamical systems under the influence of randomness, this book includes products of random mappings as well a
Random Dynamical Systems
Language: en
Pages: 5
Authors: Rabi Bhattacharya
Categories: Mathematics
Type: BOOK - Published: 2007-01-08 - Publisher: Cambridge University Press

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This treatment provides an exposition of discrete time dynamic processes evolving over an infinite horizon. Chapter 1 reviews some mathematical results from the
Stochastic Processes in Dynamics
Language: en
Pages: 166
Authors: B. Skalmierski
Categories: Science
Type: BOOK - Published: 1982-11-30 - Publisher: Springer Science & Business Media

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Random Perturbations of Dynamical Systems
Language: en
Pages: 334
Authors: M. I. Freidlin
Categories: Mathematics
Type: BOOK - Published: 2012-12-06 - Publisher: Springer Science & Business Media

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Asymptotical problems have always played an important role in probability theory. In classical probability theory dealing mainly with sequences of independent v
Random Perturbations of Dynamical Systems
Language: en
Pages: 301
Authors: Yuri Kifer
Categories: Mathematics
Type: BOOK - Published: 2012-12-06 - Publisher: Springer Science & Business Media

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Mathematicians often face the question to which extent mathematical models describe processes of the real world. These models are derived from experimental data