1.

Record Nr.

UNINA9910299760903321

Autore

Chekroun Mickaël D

Titolo

Approximation of stochastic invariant manifolds : stochastic manifolds for nonlinear SPDEs I / / by Mickaël D. Chekroun, Honghu Liu, Shouhong Wang

Pubbl/distr/stampa

Cham : , : Springer International Publishing : , : Imprint : Springer, , 2015

ISBN

3-319-12496-X

Edizione

[1st ed. 2015.]

Descrizione fisica

1 online resource (136 p.)

Collana

SpringerBriefs in Mathematics, , 2191-8198

Disciplina

510

515.352

515.353

515.39

Soggetti

Dynamics

Ergodic theory

Partial differential equations

Probabilities

Differential equations

Dynamical Systems and Ergodic Theory

Partial Differential Equations

Probability Theory and Stochastic Processes

Ordinary Differential Equations

Lingua di pubblicazione

Inglese

Formato

Materiale a stampa

Livello bibliografico

Monografia

Note generali

Description based upon print version of record.

Nota di bibliografia

Includes bibliographical references and index.

Nota di contenuto

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.

Sommario/riassunto

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.