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＜電子ブック＞
Random Dynamical Systems / by Ludwig Arnold
(Springer Monographs in Mathematics. ISSN:21969922)

版	1st ed. 1998.
出版者	(Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer)
出版年	1998
本文言語	英語
大きさ	XV, 586 p : online resource
著者標目	*Arnold, Ludwig author SpringerLink (Online service)
件　名	LCSH:Mathematical analysis LCSH:Integral equations LCSH:Dynamical systems LCSH:Probabilities LCSH:System theory LCSH:Control theory FREE:Analysis FREE:Integral Equations FREE:Dynamical Systems FREE:Probability Theory FREE:Complex Systems FREE:Systems Theory, Control
一般注記	I. Random Dynamical Systems and Their Generators -- 1. Basic Definitions. Invariant Measures -- 2. Generation -- II. Multiplicative Ergodic Theory -- 3. The Multiplicative Ergodic Theorem in Euclidean Space -- 4. The Multiplicative Ergodic Theorem on Bundles and Manifolds -- 5. The MET for Related Linear and Affine RDS -- 6. RDS on Homogeneous Spaces of the General Linear Group -- III. Smooth Random Dynamical Systems -- 7. Invariant Manifolds -- 8. Normal Forms -- 9. Bifurcation Theory -- IV. Appendices -- Appendix A. Measurable Dynamical Systems -- A.1 Ergodic Theory -- A.2 Stochastic Processes and Dynamical Systems -- A.3 Stationary Processes -- A.4 Markov Processes -- Appendix B. Smooth Dynamical Systems -- B.1 Two-Parameter Flows on a Manifold -- B.4 Autonomous Case: Dynamical Systems -- B.5 Vector Fields and Flows on Manifolds -- References This book is the first systematic presentation of the theory of random dynamical systems, i.e. of dynamical systems under the influence of some kind of randomness. The theory comprises products of random mappings as well as random and stochastic differential equations. The author's approach is based on Oseledets'multiplicative ergodic theorem for linear random systems, for which a detailed proof is presented. This theorem provides us with a random substitute of linear algebra and hence can serve as the basis of a local theory of nonlinear random systems. In particular, global and local random invariant manifolds are constructed and their regularity is proved. Techniques for simplifying a system by random continuous or smooth coordinate tranformations are developed (random Hartman-Grobman theorem, random normal forms). Qualitative changes in families of random systems (random bifurcation theory) are also studied. A dynamical approach is proposed which is based on sign changes of Lyapunov exponents and which extends the traditional phenomenological approach based on the Fokker-Planck equation. Numerous instructive examples are treated analytically or numerically. The main intention is, however, to present a reliable and rather complete source of reference which lays the foundations for future works and applications HTTP:URL=https://doi.org/10.1007/978-3-662-12878-7

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