Heat kernel for reflected diffusion and extension property on uniform domains

IF 1.5 1区 数学 Q2 STATISTICS & PROBABILITY
Mathav Murugan
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Abstract

We study reflected diffusion on uniform domains where the underlying space admits a symmetric diffusion that satisfies sub-Gaussian heat kernel estimates. A celebrated theorem of Jones (Acta Math 147(1-2):71–88, 1981) states that uniform domains in Euclidean space are extension domains for Sobolev spaces. In this work, we obtain a similar extension property for metric spaces equipped with a Dirichlet form whose heat kernel satisfies a sub-Gaussian estimate. We introduce a scale-invariant version of this extension property and apply it to show that the reflected diffusion process on such a uniform domain inherits various properties from the ambient space, such as Harnack inequalities, cutoff energy inequality, and sub-Gaussian heat kernel bounds. In particular, our work extends Neumann heat kernel estimates of Gyrya and Saloff-Coste (Astérisque 336:145, 2011) beyond the Gaussian space-time scaling. Furthermore, our estimates on the extension operator imply that the energy measure of the boundary of a uniform domain is always zero. This property of the energy measure is a broad generalization of Hino’s result (Probab Theory Relat Fields 156:739–793, 2013) that proves the vanishing of the energy measure on the outer square boundary of the standard Sierpiński carpet equipped with the self-similar Dirichlet form.

Abstract Image

均匀域上反射扩散和扩展特性的热核
我们研究的是均匀域上的反射扩散,其中底层空间允许满足亚高斯热核估计的对称扩散。琼斯(Jones)的一个著名定理(Acta Math 147(1-2):71-88, 1981)指出,欧几里得空间中的均匀域是索波列夫空间的扩展域。在这项研究中,我们获得了配备了迪里夏特形式的公度空间的类似扩展性质,该形式的热核满足亚高斯估计。我们引入了这一扩展性质的尺度不变版本,并将其用于证明这种均匀域上的反射扩散过程继承了环境空间的各种性质,如哈纳克不等式、截止能量不等式和亚高斯热核边界。特别是,我们的工作将 Gyrya 和 Saloff-Coste 的 Neumann 热核估计(Astérisque 336:145, 2011)扩展到了高斯时空尺度之外。此外,我们对扩展算子的估计意味着均匀域边界的能量度量始终为零。能量度量的这一性质是日野结果(Probab Theory Relat Fields 156:739-793, 2013)的广义概括,该结果证明了配备自相似迪里希勒形式的标准西尔潘斯基地毯外方形边界上能量度量的消失。
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来源期刊
Probability Theory and Related Fields
Probability Theory and Related Fields 数学-统计学与概率论
CiteScore
3.70
自引率
5.00%
发文量
71
审稿时长
6-12 weeks
期刊介绍: Probability Theory and Related Fields publishes research papers in modern probability theory and its various fields of application. Thus, subjects of interest include: mathematical statistical physics, mathematical statistics, mathematical biology, theoretical computer science, and applications of probability theory to other areas of mathematics such as combinatorics, analysis, ergodic theory and geometry. Survey papers on emerging areas of importance may be considered for publication. The main languages of publication are English, French and German.
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