通过最优传输对度量空间进行 ABP 估算

Bang-Xian Han
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引用次数: 0

摘要

通过使用最优传输理论,我们在具有合成黎曼黎奇曲率下界的度量空间上建立了一个尖锐的亚历山德罗夫--巴克尔曼--普奇(ABP)类型估计,并证明了包括函数ABP估计在内的一些几何和函数不等式。我们的结果不仅扩展了 ABP 估计的边界,而且在非光滑框架中提供了雅可比场计算的有效替代,这在非光滑几何分析的许多问题上都有潜在应用。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
ABP estimate on metric measure spaces via optimal transport
By using optimal transport theory, we establish a sharp Alexandroff--Bakelman--Pucci (ABP) type estimate on metric measure spaces with synthetic Riemannian Ricci curvature lower bounds, and prove some geometric and functional inequalities including a functional ABP estimate. Our result not only extends the border of ABP estimate, but also provides an effective substitution of Jacobi fields computation in the non-smooth framework, which has potential applications to many problems in non-smooth geometric analysis.
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