Back to results
Cover image for book Approximation of Stochastic Invariant Manifolds

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

eBook Features

Instant Access

Purchase and read your book immediately

Read Offline

Access your eTextbook anytime and anywhere

Study Tools

Built-in study tools like highlights and more

Read Aloud

Listen and follow along as Bookshelf reads to you

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.

• 2026 © SAU Tech Bookstore. All Rights Reserved.