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arXiv 1908.11186math.AP
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具有$L^1$ -初值的随机$p$-Laplace方程重整化解的适定性

Well-posedness of renormalized solutions for a stochastic $p$-Laplace equation with $L^1$-initial data

Niklas Sapountzoglou, Aleksandra Zimmermann

摘要:

本文考虑有界区域$D\subset\mathbb{R}^d$上的随机强迫$p$-Laplace发展问题,其中$1<p<\infty$具有齐次Dirichlet边界条件.加性噪声项由伊藤意义下的随机积分给出。技术上的困难来自于所考虑的仅仅可积的随机初始数据$u_0$。由于初始数据的规则性较差,$W^{1,p}_0(D)$中的估计仅针对解的截断可用,因此必须在广义解的意义下制定适定性结果。我们扩展了这类SPDE的重整化解的概念,证明了它的适定性,并研究了解的马尔可夫性。

英文摘要:

We consider a $p$-Laplace evolution problem with stochastic forcing on a bounded domain $D\subset\mathbb{R}^d$ with homogeneous Dirichlet boundary conditions for $1<p<\infty$. The additive noise term is given by a stochastic integral in the sense of Itô. The technical difficulties arise from the merely integrable random initial data $u_0$ under consideration. Due to the poor regularity of the initial data, estimates in $W^{1,p}_0(D)$ are available with respect to truncations of the solution only and therefore well-posedness results have to be formulated in the sense of generalized solutions. We extend the notion of renormalized solution for this type of SPDEs, show well-posedness in this setting and study the Markov properties of solutions.

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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