Optimal transport and the Gauss curvature equation
Nestor Guillen, Jun Kitagawa

TL;DR
This paper links the problem of prescribing Gauss curvature and the Gauss map image for graphs to an optimal transport problem on the sphere, providing existence, regularity, and gradient blowup results.
Contribution
It introduces a novel formulation of the Gauss curvature prescription as an optimal transport problem on the sphere, enabling new analytical insights.
Findings
Existence and regularity of solutions under mild curvature assumptions
Quantitative gradient blowup analysis within the optimal transport framework
Connection between geometric PDEs and optimal transport theory
Abstract
In this short note, we consider the problem of prescribing the Gauss curvature and image of the Gauss map for the graph of a function over a domain in Euclidean space. The prescription of the image of the Gauss map turns this into a second boundary value problem. Our main observation is that this problem can be posed as an optimal transport problem where the target is a subset of the lower hemisphere of . As a result we obtain existence and regularity of solutions under mild assumptions on the curvature, as well as a quantitative version of a gradient blowup result due to Urbas, which turns out to fall within the optimal transport framework.
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
