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Regularisation by multiplicative noise for reaction-diffusion equations
Konstantinos Dareiotis1, Teodor Holland1, Khoa Lê1
1School of Mathematics, University of Leeds, Leeds, UK.
Abstract:
We consider the stochastic reaction-diffusion equation in dimensions driven by multiplicative space-time white noise, with a distributional drift belonging to a Besov-Hölder space with any regularity index strictly larger than . We assume that the diffusion coefficient is a regular function which is bounded away from zero. By using a combination of stochastic sewing techniques and Malliavin calculus, we show that the equation admits a unique solution.
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