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Approximation of Stochastic Invariant Manifolds

Approximation of Stochastic Invariant Manifolds

Authors
Publisher Springer Nature
Year 20/12/2014
Version eBook: Fixed Page eTextbook (PDF)
Language English
ISBN 9783319124964
Categories Real analysis, real variables, Differential calculus & equations, Probability & statistics
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Book description

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.

Approximation of Stochastic Invariant Manifolds

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