Macroscopic reduction for stochastic reaction-diffusion equations

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dc.creatorWang, Wei
dc.creatorRoberts, A. J.
dc.date2008-12-10
dc.date.accessioned2026-07-07T12:11:36Z
dc.date.available2026-07-07T12:11:36Z
dc.descriptionThe macroscopic behavior of dissipative stochastic partial differential equations usually can be described by a finite dimensional system. This article proves that a macroscopic reduced model may be constructed for stochastic reaction-diffusion equations with cubic nonlinearity by artificial separating the system into two distinct slow-fast time parts. An averaging method and a deviation estimate show that the macroscopic reduced model should be a stochastic ordinary equation which includes the random effect transmitted from the microscopic timescale due to the nonlinear interaction. Numerical simulations of an example stochastic heat equation confirms the predictions of this stochastic modelling theory. This theory empowers us to better model the long time dynamics of complex stochastic systems.
dc.description28 pages. Submitted
dc.identifierhttps://arxiv.org/abs/0812.1837
dc.identifierhttp://arxiv.org/abs/0812.1837
dc.identifier.urihttp://salesiana.dossiersoluciones.com/handle/123456789/210272
dc.subjectMathematical Physics
dc.subjectProbability
dc.titleMacroscopic reduction for stochastic reaction-diffusion equations
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