Couplings via Comparison Principle and Exponential Ergodicity of SPDEs in the Hypoelliptic Setting

dc.bibliographicCitation.firstPage1001eng
dc.bibliographicCitation.issue3eng
dc.bibliographicCitation.journalTitleCommunications in Mathematical Physicseng
dc.bibliographicCitation.lastPage1034eng
dc.bibliographicCitation.volume379eng
dc.contributor.authorButkovsky, Oleg
dc.contributor.authorScheutzow, Michael
dc.date.accessioned2021-10-21T13:07:02Z
dc.date.available2021-10-21T13:07:02Z
dc.date.issued2020
dc.description.abstractWe develop a general framework for studying ergodicity of order-preserving Markov semigroups. We establish natural and in a certain sense optimal conditions for existence and uniqueness of the invariant measure and exponential convergence of transition probabilities of an order-preserving Markov process. As an application, we show exponential ergodicity and exponentially fast synchronization-by-noise of the stochastic reaction–diffusion equation in the hypoelliptic setting. This refines and complements corresponding results of Hairer and Mattingly (Electron J Probab 16:658–738, 2011). © 2020, The Author(s).eng
dc.description.versionpublishedVersioneng
dc.identifier.urihttps://oa.tib.eu/renate/handle/123456789/7085
dc.identifier.urihttps://doi.org/10.34657/6132
dc.language.isoengeng
dc.publisherBerlin ; Heidelberg : Springereng
dc.relation.doihttps://doi.org/10.1007/s00220-020-03834-w
dc.relation.essn1432-0916
dc.relation.issn0010-3616
dc.rights.licenseCC BY 4.0 Unportedeng
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/eng
dc.subject.ddc530eng
dc.subject.ddc510eng
dc.subject.otherComparison Principleeng
dc.subject.otherExponential Ergodicityeng
dc.subject.otherSPDEseng
dc.subject.otherHypoelliptic Settingeng
dc.subject.otherMarkov processeng
dc.titleCouplings via Comparison Principle and Exponential Ergodicity of SPDEs in the Hypoelliptic Settingeng
dc.typeArticleeng
dc.typeTexteng
tib.accessRightsopenAccesseng
wgl.contributorWIASeng
wgl.subjectPhysikeng
wgl.typeZeitschriftenartikeleng
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