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dc.contributor.authorHaas, Bénédicte
dc.date.accessioned2010-01-26T10:23:14Z
dc.date.available2010-01-26T10:23:14Z
dc.date.issued2010
dc.identifier.urihttps://basepub.dauphine.fr/handle/123456789/3137
dc.language.isoenen
dc.subjectQuasi-stationary solutionsen
dc.subjectRegular Variationen
dc.subjectScaling Limitsen
dc.subjectFragmentation Equationen
dc.subjectSelf-similar Markov Processesen
dc.subject.ddc519en
dc.titleAsymptotic behavior of solutions to the fragmentation equation with shattering: an approach via self-similar Markov processesen
dc.typeArticle accepté pour publication ou publié
dc.description.abstractenThe subject of this paper is a fragmentation equation with non-conservative solutions, some mass being lost to a dust of zero-mass particles as a consequence of an intensive splitting. Under some assumptions of regular variation on the fragmentation rate, we describe the large-time behavior of solutions. Our approach is based on probabilistic tools: the solutions to the fragmentation equation are constructed via non-increasing self-similar Markov processes that reach continuously 0 in finite time. Our main probabilistic result describes the asymptotic behavior of these processes conditioned on non-extinction and is then used for the solutions to the fragmentation equation. We notice that two parameters influence significantly these large-time behaviors: the rate of formation of ``nearly-1 relative masses" (this rate is related to the behavior near $0$ of the L\'evy measure associated to the corresponding self-similar Markov process) and the distribution of large initial particles. Correctly rescaled, the solutions then converge to a non-trivial limit which is related to the quasi-stationary solutions to the equation. Besides, these quasi-stationary solutions, or equivalently the quasi-stationary distributions of the self-similar Markov processes, are entirely described.en
dc.relation.isversionofjnlnameThe Annals of Applied Probability
dc.relation.isversionofjnlvol20
dc.relation.isversionofjnlissue2
dc.relation.isversionofjnldate2010
dc.relation.isversionofjnlpages382-429
dc.relation.isversionofdoihttp://dx.doi.org/10.1214/09-AAP622
dc.identifier.urlsitehttp://hal.archives-ouvertes.fr/hal-00341882/en/en
dc.description.sponsorshipprivateouien
dc.relation.isversionofjnlpublisherInstitute of Mathematical Statisticsen
dc.subject.ddclabelProbabilités et mathématiques appliquéesen


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