ABP estimate on metric measure spaces via optimal transport

Fuente: arXiv
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Main Author: Han, Bang-Xian
Format: Preprint
Published: 2024
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author Han, Bang-Xian
author_facet Han, Bang-Xian
contents 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.
format Preprint
id arxiv_https___arxiv_org_abs_2408_10725
institution arXiv
publishDate 2024
record_format arxiv
spellingShingle ABP estimate on metric measure spaces via optimal transport
Han, Bang-Xian
Metric Geometry
Analysis of PDEs
Differential Geometry
Functional Analysis
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.
title ABP estimate on metric measure spaces via optimal transport
topic Metric Geometry
Analysis of PDEs
Differential Geometry
Functional Analysis
url https://arxiv.org/abs/2408.10725