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Approximation of stochastic invariant manifolds: stochastic manifolds for nonlinear SPDEs I
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...
Autores principales: | , , |
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Lenguaje: | eng |
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Springer
2015
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Materias: | |
Acceso en línea: | https://dx.doi.org/10.1007/978-3-319-12496-4 http://cds.cern.ch/record/1980577 |
_version_ | 1780945262209925120 |
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author | Chekroun, Mickaël D Liu, Honghu Wang, Shouhong |
author_facet | Chekroun, Mickaël D Liu, Honghu Wang, Shouhong |
author_sort | Chekroun, Mickaël D |
collection | CERN |
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. |
id | cern-1980577 |
institution | Organización Europea para la Investigación Nuclear |
language | eng |
publishDate | 2015 |
publisher | Springer |
record_format | invenio |
spelling | cern-19805772021-04-21T20:38:12Zdoi:10.1007/978-3-319-12496-4http://cds.cern.ch/record/1980577engChekroun, Mickaël DLiu, HonghuWang, ShouhongApproximation of stochastic invariant manifolds: stochastic manifolds for nonlinear SPDEs IMathematical Physics and Mathematics 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.Springeroai:cds.cern.ch:19805772015 |
spellingShingle | Mathematical Physics and Mathematics Chekroun, Mickaël D Liu, Honghu Wang, Shouhong Approximation of stochastic invariant manifolds: stochastic manifolds for nonlinear SPDEs I |
title | Approximation of stochastic invariant manifolds: stochastic manifolds for nonlinear SPDEs I |
title_full | Approximation of stochastic invariant manifolds: stochastic manifolds for nonlinear SPDEs I |
title_fullStr | Approximation of stochastic invariant manifolds: stochastic manifolds for nonlinear SPDEs I |
title_full_unstemmed | Approximation of stochastic invariant manifolds: stochastic manifolds for nonlinear SPDEs I |
title_short | Approximation of stochastic invariant manifolds: stochastic manifolds for nonlinear SPDEs I |
title_sort | approximation of stochastic invariant manifolds: stochastic manifolds for nonlinear spdes i |
topic | Mathematical Physics and Mathematics |
url | https://dx.doi.org/10.1007/978-3-319-12496-4 http://cds.cern.ch/record/1980577 |
work_keys_str_mv | AT chekrounmickaeld approximationofstochasticinvariantmanifoldsstochasticmanifoldsfornonlinearspdesi AT liuhonghu approximationofstochasticinvariantmanifoldsstochasticmanifoldsfornonlinearspdesi AT wangshouhong approximationofstochasticinvariantmanifoldsstochasticmanifoldsfornonlinearspdesi |