A PDE approach to the existence and regularity of surfaces of minimum mean curvature variation

TL;DR

This paper develops an analytic framework to prove existence and regularity of surfaces minimizing the mean curvature variation, a problem relevant in CAD, manufacturing, and mechanics, with novel results on smooth and variational solutions.

Contribution

It provides the first analytic existence and regularity results for surfaces minimizing mean curvature variation, advancing the mathematical understanding of this geometric problem.

Findings

Existence of smooth minimizers

Existence of variational solutions

Regularity results for the solutions

Abstract

We develop an analytic theory of existence and regularity of surfaces (given by graphs) arising from the geometric minimization problem $$\min_{\mathcal{M}}\frac{1}{2}\int_{\mathcal{M}}|\nabla_{\mathcal{M}}H|^2\,dA$$ where $\mathcal{M}$ ranges over all $n$-dimensional manifolds in $\mathbb{R}^{n+1}$ with prescribed boundary, $\nabla_{\mathcal{M}}H$ is the tangential gradient along $\mathcal{M}$ of the mean curvature $H$ of $\mathcal{M}$ and $dA$ is the differential of surface area. The minimizers, called surfaces of minimum mean curvature variation, are central in applications of computer-aided design, computer-aided manufacturing and mechanics. Our main results show the existence of both smooth surfaces and of variational solutions to the minimization problem together with geometric regularity results. These are the first analytic results available on the literature for this problem.