Slow manifold and averaging for slow-fast stochastic differential system

dc.contributor.authorWang, W.
dc.contributor.authorRoberts, A.
dc.date.issued2012
dc.description.abstractWe consider stochastic dynamical systems with multiple time scales. An intermediate reduced model is obtained and explored for a slow-fast system when the fast mode is driven by white noise. First, and for later comparison, one approximation to the reduced stochastic system on the exponentially attracting stochastic slow manifold is derived to errors of order O(ε). Second, because the noise only drives the fast modes, averaging derives an autonomous deterministic system with errors of order O(ε). Then a martingale argument accounts for fluctuations about the averaged system to form an intermediate reduced model with errors of order O(ε)-the autonomous deterministic system now driven by white noise. This intermediate reduced model has a simpler form than the reduced model on the stochastic slow manifold. These results not only connect averaging with the stochastic slow manifold, they also provide a martingale method for improving averaged models of stochastic systems. © 2012 Elsevier Ltd.
dc.description.statementofresponsibilityW. Wang and A.J. Roberts
dc.identifier.citationJournal of Mathematical Analysis and Applications, 2012; 398(2):822-839
dc.identifier.doi10.1016/j.jmaa.2012.09.029
dc.identifier.issn0022-247X
dc.identifier.issn1096-0813
dc.identifier.orcidRoberts, A. [0000-0001-8930-1552]
dc.identifier.urihttp://hdl.handle.net/2440/76696
dc.language.isoen
dc.publisherAcademic Press Inc Elsevier Science
dc.relation.granthttp://purl.org/au-research/grants/arc/DP0774311
dc.relation.granthttp://purl.org/au-research/grants/arc/DP0774311
dc.rights© 2012 Elsevier Inc. All rights reserved.
dc.source.urihttps://doi.org/10.1016/j.jmaa.2012.09.029
dc.titleSlow manifold and averaging for slow-fast stochastic differential system
dc.typeJournal article
pubs.publication-statusPublished

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