We investigate the regularity of the law of Wong-Zakai-type approximations for It\uf4 stochastic differential equations. These approximations solve random differential equations where the diffusion coefficient is Wick-multiplied by the smoothed white noise. Using criteria based on the Malliavin calculus we establish absolute continuity and a Fokker-Planck-type equation solved in the distributional sense by the density. The parabolic smoothing effect typical of the solutions of It\uf4 equations is lacking in this approximated framework; therefore, in order to prove absolute continuity, the initial condition of the random differential equation needs to possess a density itself
AbstractI considered if solutions of stochastic differential equations have their density or not whe...
AbstractWe consider a stochastic wave equation in space dimension three driven by a noise white in t...
We prove a version of the Wong-Zakai theorem for one-dimensional parabolic nonlinear stochastic PDEs...
We investigate the regularity of the law of Wong-Zakai-type approximations for Itô stochastic differ...
An approximation theorem of stochastic differential equations driven by semimartingales is proved, b...
AbstractA solution to a stochastic partial differential equation (in the Stratonovitch form) is an a...
AbstractLet {u(t, x); t ≥ 0, 0 < x < 1} denote the solution of a white noise driven parabolic stocha...
We consider a class of stochastic differential equations driven by a one-dimensional Brownian motion...
We study the existence and regularity of the density for the solution u(t,x) (with fixed t > 0 an...
We prove existence, regularity in Hölder classes and estimates from above and below of the fundament...
Abstract We consider the processes defined by a Langevin equation and the associated continuity eq...
AbstractAn approximation theorem of stochastic differential equations driven by semimartingales is p...
We extend to the multidimensional case a Wong–Zakai-type theorem proved by Hu and Øksendal (1996) fo...
AbstractWe consider a stochastic differential equation with anticipating initial value and drift, an...
International audienceWe give a new approximation with respect of the traditional parametrix method ...
AbstractI considered if solutions of stochastic differential equations have their density or not whe...
AbstractWe consider a stochastic wave equation in space dimension three driven by a noise white in t...
We prove a version of the Wong-Zakai theorem for one-dimensional parabolic nonlinear stochastic PDEs...
We investigate the regularity of the law of Wong-Zakai-type approximations for Itô stochastic differ...
An approximation theorem of stochastic differential equations driven by semimartingales is proved, b...
AbstractA solution to a stochastic partial differential equation (in the Stratonovitch form) is an a...
AbstractLet {u(t, x); t ≥ 0, 0 < x < 1} denote the solution of a white noise driven parabolic stocha...
We consider a class of stochastic differential equations driven by a one-dimensional Brownian motion...
We study the existence and regularity of the density for the solution u(t,x) (with fixed t > 0 an...
We prove existence, regularity in Hölder classes and estimates from above and below of the fundament...
Abstract We consider the processes defined by a Langevin equation and the associated continuity eq...
AbstractAn approximation theorem of stochastic differential equations driven by semimartingales is p...
We extend to the multidimensional case a Wong–Zakai-type theorem proved by Hu and Øksendal (1996) fo...
AbstractWe consider a stochastic differential equation with anticipating initial value and drift, an...
International audienceWe give a new approximation with respect of the traditional parametrix method ...
AbstractI considered if solutions of stochastic differential equations have their density or not whe...
AbstractWe consider a stochastic wave equation in space dimension three driven by a noise white in t...
We prove a version of the Wong-Zakai theorem for one-dimensional parabolic nonlinear stochastic PDEs...