Communications on Pure and Applied Mathematics · 2023 · 25 citations · 32 references
EngineeringMathematicsPhysicsProbability TheoryStochastic ModelingStochastic ProcessesDiffusion ProcessesReaction-diffusion SystemsStochastic CalculusStochastic Differential EquationsDiffusion EquationHeat EquationRegularizationStochastic Partial Differential EquationsStochastic Reaction-diffusion ModelsStrong SolutionsWeak SolutionsWhite Noise
Abstract We study stochastic reaction–diffusion equation where is a generalized function in the Besov space , and is a space‐time white noise on . We introduce a notion of a solution to this equation and obtain existence and uniqueness of a strong solution whenever , and . This class includes equations with being measures, in particular, which corresponds to the skewed stochastic heat equation. For , we obtain existence of a weak solution. Our results extend the work of Bass and Chen (2001) to the framework of stochastic partial differential equations and generalize the results of Gyöngy and Pardoux (1993) to distributional drifts. To establish these results, we exploit the regularization effect of the white noise through a new strategy based on the stochastic sewing lemma introduced in Lê (2020).
32
Differential equations driven by rough signals
Terry Lyons · Revista Matemática Iberoamericana · 1998 · 1.1K citations · Full text
Massimiliano Gubinelli · Journal of Functional Analysis · 2004 · 606 citations