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Approximation of stochastic invariant manifolds stochastic manifolds for nonlinear SPDEs I / [electronic resource] :

  • 作者: Chekroun, Mickael D.
  • 其他作者:
  • 其他題名:
    • SpringerBriefs in mathematics,
  • 出版: Cham : Springer International Publishing :Imprint: Springer
  • 叢書名: SpringerBriefs in mathematics,
  • 主題: Stochastic partial differential equations. , Mathematics , Dynamical Systems and Ergodic Theory. , Partial Differential Equations. , Probability Theory and Stochastic Processes. , Ordinary Differential Equations.
  • ISBN: 9783319124964 (electronic bk.) 、 9783319124957 (paper)
  • FIND@SFXID: CGU
  • 資料類型: 電子書
  • 內容註: General Introduction -- Stochastic Invariant Manifolds: Background and Main Contributions -- Preliminaries -- Stochastic Evolution Equations -- Random Dynamical Systems -- Cohomologous Cocycles and Random Evolution Equations -- Linearized Stochastic Flow and Related Estimates -- Existence and Attraction Properties of Global Stochastic Invariant Manifolds -- Existence and Smoothness of Global Stochastic Invariant Manifolds -- Asymptotic Completeness of Stochastic Invariant Manifolds -- Local Stochastic Invariant Manifolds: Preparation to Critical Manifolds -- Local Stochastic Critical Manifolds: Existence and Approximation Formulas -- Standing Hypotheses -- Existence of Local Stochastic Critical Manifolds -- Approximation of Local Stochastic Critical Manifolds -- Proofs of Theorem 6.1 and Corollary 6.1 -- Approximation of Stochastic Hyperbolic Invariant Manifolds -- A Classical and Mild Solutions of the Transformed RPDE -- B Proof of Theorem 4.1 -- References.
  • 摘要註: 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.
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  • 系統號: 005127398 | 機讀編目格式
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