The Geometry of Differential Harnack Estimates

TL;DR

This paper provides an accessible introduction to Differential Harnack inequalities, emphasizing their geometric interpretation as convexity properties, and demonstrates their application to mean curvature flow through convexity preservation.

Contribution

It offers a geometric perspective on Differential Harnack inequalities and connects Hamilton's inequality for mean curvature flow to convexity preservation in higher dimensions.

Findings

Harnack inequalities relate to convexity of natural geometric objects.

Hamilton's inequality follows from convexity preservation under mean curvature flow.

The geometric interpretation simplifies understanding of complex inequalities.

Abstract

In this short note, we hope to give a rapid induction for non-experts into the world of Differential Harnack inequalities, which have been so influential in geometric analysis and probability theory over the past few decades. At the coarsest level, these are often mysterious-looking inequalities that hold for `positive' solutions of some parabolic PDE, and can be verified quickly by grinding out a computation and applying a maximum principle. In this note we emphasise the geometry behind the Harnack inequalities, which typically turn out to be assertions of the convexity of some natural object. As an application, we explain how Hamilton's Differential Harnack inequality for mean curvature flow of a $n$-dimensional submanifold of $R^{n+1}$ can be viewed as following directly from the well-known preservation of convexity under mean curvature flow, but this time of a $(n+1)$-dimensional submanifold of $R^{n+2}$. We also briefly survey the earlier work that led us to these observations.