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arXiv 2102.12414math.APmath.PR
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具有$L^1$ -初始数据的随机$p$-Laplace方程的重整化解:乘法情形

Renormalized solutions for stochastic $p$-Laplace equations with $L^1$-initial data: The multiplicative case

Niklas Sapountzoglou, Aleksandra Zimmermann

摘要:

考虑有界区域$D \subset \mathbb{R}^d$上带乘性噪声的$p$ -Laplace发展问题,其中$1<p< \infty$具有齐次Dirichlet边界条件.随机初始数据仅仅是可积的。因此,关键的估计是关于截断的解决方案。引入了具有$L^1$ -初值的乘性随机$p$-Laplace方程重整化解的概念,并在此框架下研究了解的存在唯一性。

英文摘要:

We consider a $p$-Laplace evolution problem with multiplicative noise on a bounded domain $D \subset \mathbb{R}^d$ with homogeneous Dirichlet boundary conditions for $1<p< \infty$. The random initial data is merely integrable. Consequently, the key estimates are available with respect to truncations of the solution. We introduce the notion of renormalized solutions for multiplicative stochastic $p$-Laplace equations with $L^1$-initial data and study existence and uniqueness of solutions in this framework.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

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