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dc.creatorCaraballo Garrido, Tomáses
dc.creatorGarrido Atienza, María Josées
dc.creatorLópez de la Cruz, Javieres
dc.date.accessioned2017-09-04T11:11:57Z
dc.date.available2017-09-04T11:11:57Z
dc.date.issued2017-08
dc.identifier.citationCaraballo Garrido, T., Garrido Atienza, M.J. y López de la Cruz, J. (2017). Dynamics of some stochastic chemostat models with multiplicative noise. Communications on Pure and Applied Analysis, 16 (5), 1893-1914.
dc.identifier.issn1534-0392es
dc.identifier.issn1553-5258es
dc.identifier.urihttp://hdl.handle.net/11441/64144
dc.description.abstractIn this paper we study two stochastic chemostat models, with and without wall growth, driven by a white noise. Specifically, we analyze the existence and uniqueness of solutions for these models, as well as the existence of the random attractor associated to the random dynamical system generated by the solution. The analysis will be carried out by means of the well-known Ornstein-Uhlenbeck process, that allows us to transform our stochastic chemostat models into random ones.es
dc.description.sponsorshipFondo Europeo de Desarrollo Regionales
dc.description.sponsorshipMinisterio de Economía y Competitividades
dc.description.sponsorshipJunta de Andalucíaes
dc.formatapplication/pdfes
dc.language.isoenges
dc.publisherAmerican Institute of Mathematical Scienceses
dc.relation.ispartofCommunications on Pure and Applied Analysis, 16 (5), 1893-1914.
dc.rightsAttribution-NonCommercial-NoDerivatives 4.0 Internacional*
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/*
dc.subjectChemostates
dc.subjectStochastic differential equationses
dc.subjectMultiplicative noisees
dc.subjectRandom dynamical systemses
dc.subjectRandom attractorses
dc.titleDynamics of some stochastic chemostat models with multiplicative noisees
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.projectIDinfo:eu-repo/grantAgreement/MINECO/MTM2015-63723-Pes
dc.relation.projectIDP12-FQM-1492es
dc.relation.publisherversionhttps://aimsciences.org/journals/pdfs.jsp?paperID=14122&mode=fulles
dc.identifier.doi10.3934/cpaa.2017092es
dc.contributor.groupUniversidad de Sevilla. FQM314: Análisis Estocástico de Sistemas Diferencialeses
idus.format.extent23 p.es
dc.journaltitleCommunications on Pure and Applied Analysises
dc.publication.volumen16es
dc.publication.issue5es
dc.publication.initialPage1893es
dc.publication.endPage1914es

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