# Sharp gradient estimate for heat kernels on $RCD^*(K,N)$ metric measure   spaces

**Authors:** Jia-Cheng Huang, Hui-Chun Zhang

arXiv: 1701.01803 · 2017-01-11

## TL;DR

This paper establishes a sharp gradient estimate for heat kernels on $RCD^*(K,N)$ spaces, extending classical results to a broader class of metric measure spaces with lower Ricci curvature bounds.

## Contribution

It introduces a novel elliptic Li-Yau gradient estimate for weak solutions of the heat equation on $RCD^*(K,N)$ spaces, applicable even in smooth Riemannian manifolds.

## Key findings

- Sharp gradient estimate for heat kernels derived
- Results applicable to non-smooth metric measure spaces
- Extends classical heat kernel estimates to $RCD^*(K,N)$ spaces

## Abstract

In this paper, we will establish an elliptic local Li-Yau gradient estimate for weak solutions of the heat equation on metric measure spaces with generalized Ricci curvature bounded from below. One of its main applications is a sharp gradient estimate for the logarithm of heat kernels. These results seem new even for smooth Riemannian manifolds.

## Full text

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## References

47 references — full list in the complete paper: https://tomesphere.com/paper/1701.01803/full.md

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Source: https://tomesphere.com/paper/1701.01803