65 pagesWe obtain two-sided bounds for the density of stochastic processes satisfying a weak Hörmander condition. In particular we consider the cases when the support of the density is not the whole space and when the density has various asymptotic regimes depending on the starting/final points considered (which are as well related to the number of brackets needed to span the space in Hörmander's theorem). The proofs of our lower bounds are based on Harnack inequalities for positive solutions of PDEs whereas the upper bounds derive from the probabilistic representation of the density given by the Malliavin calculus
International audienceWe study lower and upper bounds for the density of a diffusion process in R n ...
In this article, we generalize the lower bound estimates for uniformly elliptic di#usion processes o...
Gess B, Ouyang C, Tindel S. Density Bounds for Solutions to Differential Equations Driven by Gaussia...
We obtain two-sided bounds for the density of stochastic processes satisfying a weak H"ormander cond...
We consider possibly degenerate parabolic operators in the form of "sum of squares of vector fields ...
Bogachev VI, Röckner M, Shaposhnikov SV. Estimates of Densities of Stationary Distributions and Tran...
We consider a stable driven degenerate stochastic differential equation, whose coefficients satisfy ...
We consider linear second order Partial Differential Equations in the form of "sum of squares of Hör...
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Abstract. We consider a Lévy process Xt and the solution Yt of a stochastic differential equation d...
Let pb(x, t, y) be the transition probability density of the one dimensional diffusion process dXt =...
We consider a process Yt which is the solution of a stochastic dif-ferential equation driven by a Le...
We study the supremum of 'the' standard isonormal linear process L on a subset of a real Hilbert spa...
We consider an Ornstein–Uhlenbeck process with values in R_n driven by a Levy process (Z_t) taking v...
We give general sufficient conditions which imply upper and lower bounds for the probability that a ...
International audienceWe study lower and upper bounds for the density of a diffusion process in R n ...
In this article, we generalize the lower bound estimates for uniformly elliptic di#usion processes o...
Gess B, Ouyang C, Tindel S. Density Bounds for Solutions to Differential Equations Driven by Gaussia...
We obtain two-sided bounds for the density of stochastic processes satisfying a weak H"ormander cond...
We consider possibly degenerate parabolic operators in the form of "sum of squares of vector fields ...
Bogachev VI, Röckner M, Shaposhnikov SV. Estimates of Densities of Stationary Distributions and Tran...
We consider a stable driven degenerate stochastic differential equation, whose coefficients satisfy ...
We consider linear second order Partial Differential Equations in the form of "sum of squares of Hör...
We consider a system of d non-linear stochastic heat equations in spatial dimension 1 driven by d-di...
Abstract. We consider a Lévy process Xt and the solution Yt of a stochastic differential equation d...
Let pb(x, t, y) be the transition probability density of the one dimensional diffusion process dXt =...
We consider a process Yt which is the solution of a stochastic dif-ferential equation driven by a Le...
We study the supremum of 'the' standard isonormal linear process L on a subset of a real Hilbert spa...
We consider an Ornstein–Uhlenbeck process with values in R_n driven by a Levy process (Z_t) taking v...
We give general sufficient conditions which imply upper and lower bounds for the probability that a ...
International audienceWe study lower and upper bounds for the density of a diffusion process in R n ...
In this article, we generalize the lower bound estimates for uniformly elliptic di#usion processes o...
Gess B, Ouyang C, Tindel S. Density Bounds for Solutions to Differential Equations Driven by Gaussia...