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dc.date.accessioned2024-02-16T18:16:34Z
dc.date.available2024-02-16T18:16:34Z
dc.date.created2023-03-17T12:24:19Z
dc.date.issued2023
dc.identifier.citationBaños, David Bauer, Martin Meyer-Brandis, Thilo Proske, Frank Norbert . Restoration of Well-Posedness of Infinite-Dimensional Singular ODE’s via Noise. Potential Analysis. 2023
dc.identifier.urihttp://hdl.handle.net/10852/108159
dc.description.abstractAbstract In this paper we aim at generalizing the results of A. K. Zvonkin ( That removes the drift , 22 , 129, 41) and A. Y. Veretennikov ( Theory Probab. Appl. , 24 , 354, 39) on the construction of unique strong solutions of stochastic differential equations with singular drift vector field and additive noise in the Euclidean space to the case of infinite-dimensional state spaces. The regularizing driving noise in our equation is chosen to be a locally non-Hölder continuous Hilbert space valued process of fractal nature, which does not allow for the use of classical construction techniques for strong solutions from PDE or semimartingale theory. Our approach, which does not resort to the Yamada-Watanabe principle for the verification of pathwise uniqueness of solutions, is based on Malliavin calculus.
dc.languageEN
dc.rightsAttribution 4.0 International
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/
dc.titleRestoration of Well-Posedness of Infinite-Dimensional Singular ODE’s via Noise
dc.title.alternativeENEngelskEnglishRestoration of Well-Posedness of Infinite-Dimensional Singular ODE’s via Noise
dc.typeJournal article
dc.creator.authorBaños, David
dc.creator.authorBauer, Martin
dc.creator.authorMeyer-Brandis, Thilo
dc.creator.authorProske, Frank Norbert
cristin.unitcode185,15,13,35
cristin.unitnameRisiko og stokastikk
cristin.ispublishedtrue
cristin.fulltextoriginal
cristin.qualitycode1
dc.identifier.cristin2134750
dc.identifier.bibliographiccitationinfo:ofi/fmt:kev:mtx:ctx&ctx_ver=Z39.88-2004&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.jtitle=Potential Analysis&rft.volume=&rft.spage=&rft.date=2023
dc.identifier.jtitlePotential Analysis
dc.identifier.pagecount0
dc.identifier.doihttps://doi.org/10.1007/s11118-023-10069-6
dc.type.documentTidsskriftartikkel
dc.type.peerreviewedPeer reviewed
dc.source.issn0926-2601
dc.type.versionPublishedVersion


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