Approximation of Stochastic Invariant Manifolds: Stochastic Manifolds for Nonlinear SPDEs I

Approximation of Stochastic Invariant Manifolds: Stochastic Manifolds for Nonlinear SPDEs I

Author
Mickaël D. Chekroun, Honghu Liu, Shouhong Wang (auth.)
Publisher
Springer International Publishing
Language
English
Edition
1
Year
2015
Page
127
ISBN
978-3-319-12495-7,978-3-319-12496-4
File Type
pdf
File Size
3.2 MiB

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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