Coarse Ricci curvature on the space of probability measures
Yu Kitabeppu

TL;DR
This paper explores the properties of coarse Ricci curvature on probability measure spaces, linking it to Wasserstein spaces, random walks, and measure concentration phenomena, with implications for geometric analysis.
Contribution
It establishes the equivalence of infimum coarse Ricci curvature across Wasserstein spaces and original random walks, and investigates convergence and measure concentration.
Findings
Infimum coarse Ricci curvature matches across Wasserstein and original spaces
Relation between Gromov-Hausdorff convergence and coarse Ricci curvature
Connection between coarse Ricci curvature and measure concentration phenomena
Abstract
In this paper we study the coarse Ricci curvature on the space of probability measures on a metric space. The infimum of the -coarse Ricci curvature on the -Wasserstein space coincides with that with respect to the original random walk. Considering a random walk as a map, we investigate the relation between Gromov-Hausdorff convergence and the -coarse Ricci curvature. We also study the concentration of measure phenomenon related to the coarse Ricci curvature.
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsGeometric Analysis and Curvature Flows · Point processes and geometric inequalities · Advanced Differential Geometry Research
