A step towards holistic discretisation of stochastic partial differential equations

Fuente: arXiv
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Main Author: Roberts, A. J.
Format: Preprint
Published: 2003
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author Roberts, A. J.
author_facet Roberts, A. J.
contents The long term aim is to use modern dynamical systems theory to derive discretisations of noisy, dissipative partial differential equations. As a first step we here consider a small domain and apply stochastic centre manifold techniques to derive a model. The approach automatically parametrises subgrid scale processes induced by spatially distributed stochastic noise. It is important to discretise stochastic partial differential equations carefully, as we do here, because of the sometimes subtle effects of noise processes. In particular we see how stochastic resonance effectively extracts new noise processes for the model which in this example helps stabilise the zero solution.
format Preprint
id arxiv_https___arxiv_org_abs_math_0307290
institution arXiv
publishDate 2003
record_format arxiv
spellingShingle A step towards holistic discretisation of stochastic partial differential equations
Roberts, A. J.
Dynamical Systems
Numerical Analysis
The long term aim is to use modern dynamical systems theory to derive discretisations of noisy, dissipative partial differential equations. As a first step we here consider a small domain and apply stochastic centre manifold techniques to derive a model. The approach automatically parametrises subgrid scale processes induced by spatially distributed stochastic noise. It is important to discretise stochastic partial differential equations carefully, as we do here, because of the sometimes subtle effects of noise processes. In particular we see how stochastic resonance effectively extracts new noise processes for the model which in this example helps stabilise the zero solution.
title A step towards holistic discretisation of stochastic partial differential equations
topic Dynamical Systems
Numerical Analysis
url https://arxiv.org/abs/math/0307290