OPTIMIZERS OF THREE-POINT ENERGIES AND NEARLY ORTHOGONAL SETS

Dmitriy Bilyk, Damir Ferizović, Alexey Glazyrin, Ryan W. Matzke, Josiah Park, Oleksandr Vlasiuk

Research output: Contribution to journalArticlepeer-review

Abstract

This paper is devoted to spherical measures and point configurations optimizing three-point energies. Our main goal is to extend the classic optimization problems based on pairs of distances between points to the context of three-point potentials. In particular, we study three-point analogues of the sphere packing problem and the optimization problem for p-frame energies based on three points. It turns out that both problems are inherently connected to the problem of nearly orthogonal sets by Erdős. As the outcome, we provide a new solution of the Erdős problem from the three-point packing perspective. We also show that the orthogonal basis uniquely minimizes the p-frame three-point energy when 0 < p < 1 in all dimensions. The arguments make use of multivariate polynomials employed in semidefinite programming and based on the classical Gegenbauer polynomials. For p = 1, we completely solve the analogous problem on the circle.

Original languageEnglish (US)
Pages (from-to)4015-4033
Number of pages19
JournalProceedings of the American Mathematical Society
Volume152
Issue number9
DOIs
StatePublished - Sep 1 2024

Bibliographical note

Publisher Copyright:
©2024 American Mathematical Society.

Keywords

  • Potential energy minimization
  • isotropic measures
  • nearly orthogonal sets
  • optimal measures
  • positive definite kernels
  • spherical codes
  • tight frames

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