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dc.date.accessioned2024-03-14T17:50:43Z
dc.date.available2024-03-14T17:50:43Z
dc.date.created2024-01-02T12:06:53Z
dc.date.issued2023
dc.identifier.citationAgram, Nacira Øksendal, Bernt Karsten . The Donsker delta function and local time for McKean–Vlasov processes and applications. Stochastics: An International Journal of Probability and Stochastic Processes. 2023
dc.identifier.urihttp://hdl.handle.net/10852/109585
dc.description.abstractThe purpose of this paper is to establish a stochastic differential equation for the Donsker delta measure of the solution of a McKean–Vlasov (mean-field) stochastic differential equation. If the Donsker delta measure is absolutely continuous with respect to Lebesgue measure, then its Radon–Nikodym derivative is called the Donsker delta function. In that case it can be proved that the local time of such a process is simply the integral with respect to time of the Donsker delta function. Therefore we also get an equation for the local time of such a process. For some particular McKean–Vlasov processes, we find explicit expressions for their Donsker delta functions and hence for their local times.
dc.languageEN
dc.rightsAttribution 4.0 International
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/
dc.titleThe Donsker delta function and local time for McKean–Vlasov processes and applications
dc.title.alternativeENEngelskEnglishThe Donsker delta function and local time for McKean–Vlasov processes and applications
dc.typeJournal article
dc.creator.authorAgram, Nacira
dc.creator.authorØksendal, Bernt Karsten
cristin.unitcode185,15,13,35
cristin.unitnameRisiko og stokastikk
cristin.ispublishedtrue
cristin.fulltextoriginal
cristin.qualitycode1
dc.identifier.cristin2218823
dc.identifier.bibliographiccitationinfo:ofi/fmt:kev:mtx:ctx&ctx_ver=Z39.88-2004&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.jtitle=Stochastics: An International Journal of Probability and Stochastic Processes&rft.volume=&rft.spage=&rft.date=2023
dc.identifier.jtitleStochastics: An International Journal of Probability and Stochastic Processes
dc.identifier.startpage1
dc.identifier.endpage18
dc.identifier.pagecount0
dc.identifier.doihttps://doi.org/10.1080/17442508.2023.2286252
dc.type.documentTidsskriftartikkel
dc.type.peerreviewedPeer reviewed
dc.source.issn1744-2508
dc.type.versionPublishedVersion


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