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Nonlinear random perturbations of Reaction-Diffusion Equations
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abstract
This paper investigates the well-posedness and small-noise asymptotics of a class of stochastic partial differential equations defined on a bounded domain of $\mathbb{R}^d$, where the diffusion coefficient depends nonlinearly and non-locally on the solution through a conditional expectation. The reaction term is assumed to be merely continuous and to satisfy a quasi-dissipativity condition, without requiring any growth bounds or local Lipschitz continuity. This setting introduces significant analytical challenges due to the temporal non-locality and the lack of regularity assumptions. Our results represent a substantial advance in the study of nonlinear stochastic perturbations of SPDEs, extending the framework developed in a previous paper.
Forward citations
Cited by 2 Pith papers
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An optimal local theory for reaction-diffusion equations driven by non-trace-class noise
Reaction-diffusion SPDEs with non-trace-class multiplicative noise are shown to be locally well-posed in critical Besov spaces of initial data, with regularization, blow-up criteria, and positivity.
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Sharp bounds for non-trace class noise and applications to SPDEs
Sharp necessary and sufficient conditions are established for convergence of Gaussian series with colored coefficients in negative Sobolev spaces, yielding optimal regularity estimates for the stochastic heat equation...
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