PofoliaShared via Pofolia

· 2012· Preprint

Universally optimal distribution of points on spheres

Henry Cohn, Abhinav Kumar

Short summary

Sharp configurations of points on a sphere are proven to minimize potential energy for a wide range of potential functions, including those related to E8 and Leech lattices.

AI-generated from the title and abstract; the full text is not read.

Key points

  • Sharp configurations of points on a sphere minimize potential energy for broad classes of potential functions.
  • This includes minimal vectors of E8 and Leech lattices, and vertices of the 600-cell.
  • These configurations are often unique global minima for energy.
  • Results are generalized to other compact two-point homogeneous spaces.

AI-generated from the title and abstract; the full text is not read.

Abstract

Abstract. We study configurations of points on the unit sphere that minimize potential energy for a broad class of potential functions (viewed as functions of the squared Euclidean distance between points). Call a configuration sharp if there are m distances between distinct points in it and it is a spherical (2m −1)-design. We prove that every sharp configuration minimizes potential energy for all completely monotonic potential functions. Examples include the minimal vectors of the E8 and Leech lattices. We also prove the same result for the vertices of the 600-cell, which do not form a sharp configuration. For most known cases, we prove that they are the unique global minima for energy, as long as the potential function is strictly completely monotonic. For certain potential functions, some of these configurations were previously analyzed by Yudin, Kolushov, and Andreev; we build on their techniques. We also generalize our results to other compact two-point homogeneous spaces, and we

The authors' abstract, as published at the source., 2012 · DOI ↗

TakeawaysPremium
Ask the paperFree account

Continue with a free account

Ask the paper: 3 free questions a day about this paper; save it, get its citation, new summaries every day for your field. Takeaways are Premium.

Continue free on the web

Sign in with Google or Apple; no card needed. You come back to this paper.

On your phone:

Field: Numerical Analysis

Numerical AnalysisMathematics