Mathematics – Probability
Scientific paper
2004-07-08
Annals of Probability 2004, Vol. 14, No. 3, 1506-1528
Mathematics
Probability
Scientific paper
10.1214/105051604000000413
In this paper we develop a white noise framework for the study of stochastic partial differential equations driven by a d-parameter (pure jump) Levy white noise. As an example we use this theory to solve the stochastic Poisson equation with respect to Levy white noise for any dimension d. The solution is a stochastic distribution process given explicitly. We also show that if d\leq 3, then this solution can be represented as a classical random field in L2(\mu ), where \mu is the probability law of the Levy process. The starting point of our theory is a chaos expansion in terms of generalized Charlier polynomials. Based on this expansion we define Kondratiev spaces and the Levy Hermite transform.
Lokka Arne
Oksendal Bernt
Proske Frank
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