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dc.creatorBessaih, Hakimaes
dc.creatorGarrido Atienza, María Josées
dc.creatorSchmalfuss, Björnes
dc.date.accessioned2016-07-06T11:16:50Z
dc.date.available2016-07-06T11:16:50Z
dc.date.issued2016-04-15
dc.identifier.citationBessaih, H., Garrido Atienza, M.J. y Schmalfuss, B. (2016). Stochastic shell models driven by a multiplicative fractional Brownian-motion. Physica D: Nonlinear Phenomena, 320, 38-56.
dc.identifier.issn0167-2789es
dc.identifier.urihttp://hdl.handle.net/11441/43248
dc.description.abstractWe prove existence and uniqueness of the solution of a stochastic shell--model. The equation is driven by an infinite dimensional fractional Brownian--motion with Hurst--parameter H∈(1/2,1), and contains a non--trivial coefficient in front of the noise which satisfies special regularity conditions. The appearing stochastic integrals are defined in a fractional sense. First, we prove the existence and uniqueness of variational solutions to approximating equations driven by piecewise linear continuous noise, for which we are able to derive important uniform estimates in some functional spaces. Then, thanks to a compactness argument and these estimates, we prove that these variational solutions converge to a limit solution, which turns out to be the unique pathwise mild solution associated to the shell--model with fractional noise as driving process.es
dc.description.sponsorshipSimons Foundationes
dc.description.sponsorshipNational Science Foundationes
dc.formatapplication/pdfes
dc.language.isoenges
dc.publisherElsevieres
dc.relation.ispartofPhysica D: Nonlinear Phenomena, 320, 38-56.
dc.rightsAttribution-NonCommercial-NoDerivatives 4.0 Internacional*
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/*
dc.subjectStochastic PDEses
dc.subjectFractional Brownian-motiones
dc.subjectPathwise solutionses
dc.subjectFractional calculuses
dc.titleStochastic shell models driven by a multiplicative fractional Brownian-motiones
dc.typeinfo:eu-repo/semantics/articlees
dcterms.identifierhttps://ror.org/03yxnpp24
dc.type.versioninfo:eu-repo/semantics/submittedVersiones
dc.rights.accessRightsinfo:eu-repo/semantics/openAccesses
dc.contributor.affiliationUniversidad de Sevilla. Departamento de Ecuaciones Diferenciales y Análisis Numéricoes
dc.relation.projectID283308es
dc.relation.projectID1416689es
dc.relation.publisherversionhttp://dx.doi.org/10.1016/j.physd.2016.01.008es
dc.identifier.doi10.1016/j.physd.2016.01.008es
dc.contributor.groupUniversidad de Sevilla. FQM314: Análisis Estocástico de Sistemas Diferencialeses
idus.format.extent23 p.es
dc.journaltitlePhysica D: Nonlinear Phenomenaes
dc.publication.volumen320es
dc.publication.initialPage38es
dc.publication.endPage56es
dc.identifier.idushttps://idus.us.es/xmlui/handle/11441/43248
dc.contributor.funderSimons Foundation
dc.contributor.funderNational Science Foundation (NSF). United States

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