构建可控几何公度量空间上的狄利克特形式

IF 1 3区 数学 Q1 MATHEMATICS
Almaz Butaev, Liangbing Luo, Nageswari Shanmugalingam
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引用次数: 0

摘要

给定一个支持 2-Poincaré 不等式的紧凑加倍度量空间 X,我们在 \(N^{1,2}(X)\ 上构造一个与 \(N^{1,2}(X)\ 上的上梯度能量形式相当的 Dirichlet 形式。)我们的方法基于一个图形族对 X 的逼近,这个图形族是加倍的,并且支持 2-Poincaré 不等式(见 [20])。我们利用图上的 Dirichlet 形式在 \(N^{1,2}(X)\) 上构建了一个双线性形式。我们证明了这个双线性形式族的(取子序列)极限 \(\Gamma \)-极限 \(\mathcal{E}\)存在,并且 \(\mathcal{E}\)是 X 上的 Dirichlet 形式。此外,我们还证明了\(\mathcal {E}\) 在域\(\Omega \subseteq X\) 上具有匹配边界值的性质。这种构造使我们有可能通过由近似迪里希勒形式决定的数值方案来近似 X 域上的谐函数(关于迪里希勒形式 \(\mathcal {E}\)),这些函数具有规定的 Lipschitz 边界数据,而迪里希勒形式是离散对象。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Construction of a Dirichlet form on Metric Measure Spaces of Controlled Geometry

Given a compact doubling metric measure space X that supports a 2-Poincaré inequality, we construct a Dirichlet form on \(N^{1,2}(X)\) that is comparable to the upper gradient energy form on \(N^{1,2}(X)\). Our approach is based on the approximation of X by a family of graphs that is doubling and supports a 2-Poincaré inequality (see [20]). We construct a bilinear form on \(N^{1,2}(X)\) using the Dirichlet form on the graph. We show that the \(\Gamma \)-limit \(\mathcal {E}\) of this family of bilinear forms (by taking a subsequence) exists and that \(\mathcal {E}\) is a Dirichlet form on X. Properties of \(\mathcal {E}\) are established. Moreover, we prove that \(\mathcal {E}\) has the property of matching boundary values on a domain \(\Omega \subseteq X\). This construction makes it possible to approximate harmonic functions (with respect to the Dirichlet form \(\mathcal {E}\)) on a domain in X with a prescribed Lipschitz boundary data via a numerical scheme dictated by the approximating Dirichlet forms, which are discrete objects.

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来源期刊
Potential Analysis
Potential Analysis 数学-数学
CiteScore
2.20
自引率
9.10%
发文量
83
审稿时长
>12 weeks
期刊介绍: The journal publishes original papers dealing with potential theory and its applications, probability theory, geometry and functional analysis and in particular estimations of the solutions of elliptic and parabolic equations; analysis of semi-groups, resolvent kernels, harmonic spaces and Dirichlet forms; Markov processes, Markov kernels, stochastic differential equations, diffusion processes and Levy processes; analysis of diffusions, heat kernels and resolvent kernels on fractals; infinite dimensional analysis, Gaussian analysis, analysis of infinite particle systems, of interacting particle systems, of Gibbs measures, of path and loop spaces; connections with global geometry, linear and non-linear analysis on Riemannian manifolds, Lie groups, graphs, and other geometric structures; non-linear or semilinear generalizations of elliptic or parabolic equations and operators; harmonic analysis, ergodic theory, dynamical systems; boundary value problems, Martin boundaries, Poisson boundaries, etc.
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