Nonlinear SDEs driven by Lévy processes and related PDEs

dc.creatorJourdain, Benjamin
dc.creatorMéléard, Sylvie
dc.creatorWoyczynski, Wojbor
dc.date2007-07-18
dc.date.accessioned2026-07-07T08:19:02Z
dc.date.available2026-07-07T08:19:02Z
dc.descriptionIn this paper we study general nonlinear stochastic differential equations, where the usual Brownian motion is replaced by a Lévy process. We also suppose that the coefficient multiplying the increments of this process is merely Lipschitz continuous and not necessarily linear in the time-marginals of the solution as is the case in the classical McKean-Vlasov model. We first study existence, uniqueness and particle approximations for these stochastic differential equations. When the driving process is a pure jump Lévy process with a smooth but unbounded Lévy measure, we develop a stochastic calculus of variations to prove that the time-marginals of the solutions are absolutely continuous with respect to the Lebesgue measure. In the case of a symmetric stable driving process, we deduce the existence of a function solution to a nonlinear integro-differential equation involving the fractional Laplacian.
dc.identifierhttps://arxiv.org/abs/0707.2723
dc.identifierhttp://arxiv.org/abs/0707.2723
dc.identifier.urihttp://salesiana.dossiersoluciones.com/handle/123456789/134636
dc.subjectProbability
dc.subject60K35, 35S10, 65C35
dc.titleNonlinear SDEs driven by Lévy processes and related PDEs
dc.typetext

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