A geometric approach for convexity in some variational problem in the Gauss space
Michael Goldman (CMAP)

TL;DR
This paper proves the convexity of minimizers for certain variational problems in Gauss space using a geometric adaptation of Korevaar's classical argument.
Contribution
It introduces a geometric approach to establish convexity of solutions in Gauss space, extending previous methods to this setting.
Findings
Minimizers in Gauss space are convex under certain variational conditions.
The proof adapts Korevaar's argument geometrically for the Gauss space context.
The approach provides a new perspective on convexity in variational problems.
Abstract
In this short note we prove the convexity of minimizers of some variational problem in the Gauss space. This proof is based on a geometric version of an older argument due to Korevaar.
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.
Taxonomy
TopicsOptimization and Variational Analysis · Point processes and geometric inequalities · Contact Mechanics and Variational Inequalities
