A dynamical approximation for stochastic partial differential equations

dc.creatorWang, Wei
dc.creatorDuan, Jinqiao
dc.date2006-07-03
dc.date2007-10-07
dc.date.accessioned2026-07-07T08:34:30Z
dc.date.available2026-07-07T08:34:30Z
dc.descriptionRandom invariant manifolds often provide geometric structures for understanding stochastic dynamics. In this paper, a dynamical approximation estimate is derived for a class of stochastic partial differential equations, by showing that the random invariant manifold is almost surely asymptotically complete. The asymptotic dynamical behavior is thus described by a stochastic ordinary differential system on the random invariant manifold, under suitable conditions. As an application, stationary states (invariant measures) is considered for one example of stochastic partial differential equations.
dc.description28 pages, no figures
dc.identifierhttps://arxiv.org/abs/math/0607050
dc.identifierhttp://arxiv.org/abs/math/0607050
dc.identifierJ. Math. Phys., 2007
dc.identifier.urihttp://salesiana.dossiersoluciones.com/handle/123456789/139459
dc.subjectDynamical Systems
dc.subjectAnalysis of PDEs
dc.subject37L55, 35R60, 60H15, 37H20
dc.titleA dynamical approximation for stochastic partial differential equations
dc.typetext

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