Approximating coarse Ricci curvature on submanifolds of Euclidean space
Antonio Ache, Micah Warren

TL;DR
This paper develops a method to approximate the coarse Ricci curvature of submanifolds in Euclidean space using heat kernel-based Laplacian approximations, extending prior Laplacian approximation techniques.
Contribution
It derives asymptotics for approximating coarse Ricci curvature on submanifolds, specifically proving a key proposition from previous work.
Findings
Established asymptotic formulas for Ricci curvature approximation.
Validated the approximation method for submanifolds in Euclidean space.
Extended heat kernel Laplacian approximation techniques to curvature estimation.
Abstract
For an embedded submanifold , Belkin and Niyogi showed that one can approximate the Laplacian operator using heat kernels. Using a definition of coarse Ricci curvature derived by iterating Laplacians, we approximate the coarse Ricci curvature of submanifolds in the same way. For this purpose, we derive asymptotics for the approximation of the Ricci curvature proposed in [AW19]. Specifically, we prove Proposition 3.2 in [AW19].
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Taxonomy
TopicsGeometric Analysis and Curvature Flows · Advanced Neuroimaging Techniques and Applications · Nonlinear Partial Differential Equations
