Approximation of Stochastic Invariant Manifolds

This first volume is concerned with the analytic derivation of explicit formulas for the leading-order Taylor approximations of (local) stochastic invariant manifolds associated with a broad class of nonlinear stochastic partial differential equations. These approximations take the form of Lyapunov...

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書誌詳細
主要な著者: Chekroun, Mickaël D, Liu, Honghu Wang
フォーマット: 図書
言語:English
出版事項: Springer 2015
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オンライン・アクセス:https://scholar.dlu.edu.vn/thuvienso/handle/DLU123456789/57805
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その他の書誌記述
要約:This first volume is concerned with the analytic derivation of explicit formulas for the leading-order Taylor approximations of (local) stochastic invariant manifolds associated with a broad class of nonlinear stochastic partial differential equations. These approximations take the form of Lyapunov-Perron integrals, which are further characterized in Volume II as pullback limits associated with some partially coupled backward-forward systems. This pullback characterization provides a useful interpretation of the corresponding approximating manifolds and leads to a simple framework that unifies some other approximation approaches in the literature. A self-contained survey is also included on the existence and attraction of one-parameter families of stochastic invariant manifolds, from the point of view of the theory of random dynamical systems.