Approximation of Stochastic Invariant Manifolds Stochastic Manifolds for Nonlinear SPDEs I
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SpringerBriefs in Mathematics
Approximation of Stochastic Invariant Manifolds
Stochastic Manifolds for Nonlinear SPDEs I
Mickaël D. Chekroun | Honghu Liu | Shouhong Wang
Mathematics / Mathematical Analysis
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.
| Publication Date: | 13 January 2015 |
| Publisher: | Springer International Publishing |
| Imprint: | Springer |
| ISBN-13: | 9783319124957 |
| Format: | Paperback softback |
| Page Count: | 127 |