English

Gradient estimates for scalar curvature

Differential Geometry 2025-01-31 v1 Analysis of PDEs

Abstract

A gradient estimate is a crucial tool used to control the rate of change of a function on a manifold, paving the way for deeper analysis of geometric properties. A celebrated result of Cheng and Yau gives gradient bounds on manifolds with Ricci curvature 0\geq 0. The Cheng-Yau bound is not sharp, but there is a gradient sharp estimate. To explain this, a Green's function uu on a manifold can be used to define a regularized distance b=u12nb= u^{\frac{1}{2-n}} to the pole. On Rn\bf{R}^n, the level sets of bb are spheres and b=1|\nabla b|=1. If Ric0\text{Ric} \geq 0, then [C3] proved the sharp gradient estimate b1|\nabla b| \leq 1. We show that the average of b|\nabla b| is 1\leq 1 on a three manifold with nonnegative scalar curvature. The average is over any level set of bb and if the average is one on even one level set, then M=R3M=\bf{R}^3.

Keywords

Cite

@article{arxiv.2501.17947,
  title  = {Gradient estimates for scalar curvature},
  author = {Tobias Holck Colding and William P. Minicozzi},
  journal= {arXiv preprint arXiv:2501.17947},
  year   = {2025}
}
R2 v1 2026-06-28T21:24:33.890Z