Smoothness of the law of some one-dimensional jumping SDEs with non-constant rate of jump
Résumé
We consider a one-dimensional jumping Markov process {X-t(x)}(t >= 0), solving a Poisson-driven stochastic differential equation. We prove that the law of X-t(x) 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 -> X-t(x) 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.