The enhanced Sanov theorem and propagation of chaos

dc.bibliographicCitation.date2018
dc.bibliographicCitation.firstPage2228eng
dc.bibliographicCitation.issue7eng
dc.bibliographicCitation.journalTitleStochastic processes and their applicationseng
dc.bibliographicCitation.lastPage2269eng
dc.bibliographicCitation.volume128eng
dc.contributor.authorDeuschel, Jean-Dominique
dc.contributor.authorFriz, Peter K.
dc.contributor.authorMaurelli, Mario
dc.contributor.authorSlowik, Martin
dc.date.accessioned2022-06-22T07:44:03Z
dc.date.available2022-06-22T07:44:03Z
dc.date.issued2017
dc.description.abstractWe establish a Sanov type large deviation principle for an ensemble of interacting Brownian rough paths. As application a large deviations for the (-layer, enhanced) empirical measure of weakly interacting diffusions is obtained. This in turn implies a propagation of chaos result in a space of rough paths and allows for a robust analysis of the particle system and its McKean–Vlasov type limit, as shown in two corollaries.eng
dc.description.versionpublishedVersioneng
dc.identifier.urihttps://oa.tib.eu/renate/handle/123456789/9121
dc.identifier.urihttps://doi.org/10.34657/8159
dc.language.isoengeng
dc.publisherAmsterdam [u.a.] : Elseviereng
dc.relation.doihttps://doi.org/10.1016/j.spa.2017.09.010
dc.relation.essn1879-209X
dc.rights.licenseCC BY 4.0 Unportedeng
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/eng
dc.subject.ddc510eng
dc.subject.otherComputer simulationeng
dc.subject.otherStatisticseng
dc.subject.otherBrownianeng
dc.subject.otherEmpirical measureeng
dc.subject.otherLarge deviation principleeng
dc.subject.otherLarge deviationseng
dc.subject.otherP systemseng
dc.subject.otherRobust analysiseng
dc.subject.otherSanov theoremeng
dc.subject.otherStochastic systemseng
dc.titleThe enhanced Sanov theorem and propagation of chaoseng
dc.typeArticleeng
dc.typeTexteng
tib.accessRightsopenAccesseng
wgl.contributorWIASeng
wgl.subjectMathematikeng
wgl.typeZeitschriftenartikeleng
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