用乘法噪声对反应扩散方程进行正则化

Konstantinos Dareiotis, Teodor Holland, Khoa Lê
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摘要

我们考虑由乘法时空白噪声驱动的 1+1$ 维随机反应-扩散方程,该方程的分布漂移属于任意正则指数大于 $-1$ 的 Besov-H "老空间。通过使用随机缝纫技术和马利亚文微积分相结合的方法,我们证明该方程有一个唯一的解。
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Regularisation by multiplicative noise for reaction-diffusion equations
We consider the stochastic reaction-diffusion equation in $1+1$ dimensions driven by multiplicative space-time white noise, with a distributional drift belonging to a Besov-H\"older space with any regularity index larger than $-1$. 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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