Approximation of Stochastic Invariant Manifolds
Stochastic Manifolds for Nonlinear SPDEs I| By: | Mickaël D. Chekroun; Honghu Liu; Shouhong Wang |
| Publisher: | Springer Nature |
| Print ISBN: | 9783319124957 |
| eText ISBN: | 9783319124964 |
| Edition: | 0 |
| Copyright: | 2015 |
| Format: | Page Fidelity |
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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.