Density Estimates for a Random Noise Propagating through a Chain of Differential Equations

François Delarue (1) , Stéphane Menozzi (2)

1 JAD - Laboratoire Jean Alexandre Dieudonné
2 LPMA - Laboratoire de Probabilités et Modèles Aléatoires

We here provide two sided bounds for the density of the solution of a system of n differential equations of dimension d, the first one being forced by a non-degenerate random noise and the (n-1) other ones being degenerate. The system formed by the n equations satisfies a suitable Hörmander condition: the second equation feels the noise plugged into the first equation, the third equation feels the noise transmitted from the first to the second equation and so on..., so that the noise propagates one way through the system. When the coefficients of the system are Lipschitz continuous, we show that the density of the solution satisfies Gaussian bounds with non-diffusive time scales. The proof relies on the interpretation of the density of the solution as the value function of some optimal stochastic control problem.

Mots clés: Aronson estimates; Gaussian bounds; Hypoellipticity; Hörmander Conditions; Stochastic Control

Domaines: Probabilités [math.PR]

François Delarue, Stéphane Menozzi. Density Estimates for a Random Noise Propagating through a Chain of Differential Equations. Journal of Functional Analysis, 2010, 259, pp.1577--1630. ⟨hal-00436051⟩