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Approximation of Stochastic Invariant Manifolds

Approximation of Stochastic Invariant Manifolds2014

Honghu Liu, Mickaël D. Chekroun, Shouhong Wang

About this book

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.

Details

First published
2014
OL Work ID
OL25694855W

Subjects

MathematicsDifferentiable dynamical systemsDifferential EquationsDifferential equations, partialDistribution (Probability theory)Dynamical Systems and Ergodic TheoryPartial Differential EquationsProbability Theory and Stochastic ProcessesOrdinary Differential Equations

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