| Université Paris 6 Pierre et Marie Curie | Université Paris 7 Denis Diderot | |
| CNRS U.M.R. 7599 | ||
| ``Probabilités et Modèles Aléatoires'' | ||
Auteur(s):
Code(s) de Classification MSC:
Résumé: We consider the random vector $u(t,\underline x)=(u(t,x_1),\dots,u(t,x_d))$, where $t>0,\ x_1,\dots,x_d$ are distinct points of $\R^2$ and $u$ denotes the stochastic process solution to a stochastic wave equation driven by a noise white in time and correlated in space. In a recent paper by Millet and Sanz-Solé [8], sufficient conditions are given ensuring existence and smoothness of density for $u(t,\underline x)$. We study here the positivity of such density. Using techniques developped in [1] (see also [7]) based on Analysis on an abstract Wiener space, we characterize the set of points $y\in\R^d$ where the density is positive and we prove that, under suitable assumptions, the set is $\R^d$.
Mots Clés: Stochastic partial differential equations ; Malliavin calculus ; wave
equation ; probability densities
Date: 2000-10-05
Prépublication numéro: PMA-614