We consider a one-dimensional jumping Markov process {Xxt}t≥0, solv-ing a Poisson-driven stochastic differential equation. We prove that the law of Xxt admits a smooth density for t> 0, under some regularity and non-degeneracy assumptions on the coefficients of the S.D.E. To our knowledge, our result is the first one including the important case of a non-constant rate of jump. The main difficulty is that in such a case, the map x 7 → Xxt is not smooth. This seems to make impossible the use of Malliavin calculus techniques. To overcome this problem, we introduce a new method, in which the propagation of the smoothness of the density is obtained by analytic arguments
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International audienceWe consider a one-dimensional jumping Markov process {X-t(x)}(t >= 0), solving...
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International audienceConsider on a manifold the solution $X$ of a stochastic differential equation ...
We consider a real-valued diffusion process with a linear jump term driven by a Poisson point proces...
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AbstractWe study a parabolic SPDE driven by a white noise and a compensated Poisson measure. We firs...
We apply the Malliavin calculus to study several non-degeneracy conditions on the coefficients of a ...
We consider stochastic differential equations of the form dYt=V(Yt)dXt+V0(Yt)dt driven by a multi-di...