Maximizing Riesz capacity ratios: conjectures and theorems
Carrie Clark, Richard S. Laugesen

TL;DR
This paper develops a shape optimization framework for Riesz capacity ratios, conjecturing maximizers as geometric shapes like balls or simplices in different parameter regions, and proves several cases especially in low dimensions.
Contribution
It introduces a new optimization approach for Riesz capacities, proposing conjectures for maximizers across parameter regions and proving results in low-dimensional cases.
Findings
Maximizers are conjectured to be balls, simplices, or intervals depending on parameters.
Proved maximality for certain shapes in dimensions 1 and 2.
Identified symmetry-breaking transition regions in the parameter space.
Abstract
A shape optimization program is developed for the ratio of Riesz capacities , where ranges over compact sets in . In different regions of the -parameter plane, maximality is conjectured for the ball, the vertices of a regular simplex, or the endpoints of an interval. These cases are separated by a symmetry-breaking transition region where the shape of maximizers remains unclear. On the boundary of -parameter space one encounters existing theorems and conjectures, including: Watanabe's theorem minimizing Riesz capacity for given volume, the classical isodiametric theorem that maximizes volume for given diameter, Szeg\H{o}'s isodiametric theorem maximizing Newtonian capacity for given diameter, and the still-open isodiametric conjecture for Riesz capacity. The first quadrant of parameter space contains P\'{o}lya and Szeg\H{o}'s…
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
TopicsAdvanced Mathematical Identities · Analytic Number Theory Research · Statistical Distribution Estimation and Applications
