We study strictly parabolic stochastic partial differential equations on R^d, d>=1, driven by a Gaussian noise white in time and coloured in space. Assuming that the coefficients of the differential operator are random, we give sufficient conditions on the correlation of the noise ensuring Holder continuity for the trajectories of the solution of the equation. For self-agjoint operators with deterministic coefficients, the mild and weak formulation of the equation are related, deriving path properties of the solution to a parabolic Cauchy problem in evolutionn form.
SPDEs with coloured noise: Analytic and stochastic approaches
FERRANTE, MARCO;
2006
Abstract
We study strictly parabolic stochastic partial differential equations on R^d, d>=1, driven by a Gaussian noise white in time and coloured in space. Assuming that the coefficients of the differential operator are random, we give sufficient conditions on the correlation of the noise ensuring Holder continuity for the trajectories of the solution of the equation. For self-agjoint operators with deterministic coefficients, the mild and weak formulation of the equation are related, deriving path properties of the solution to a parabolic Cauchy problem in evolutionn form.File in questo prodotto:
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