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Packing spheres in high dimensions with moderate computational effort

Veit Elser
Phys. Rev. E 108, 034117 – Published 21 September 2023
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Abstract

We generate nonlattice packings of spheres in up to 22 dimensions using the geometrical constraint satisfaction algorithm RRR. Our aggregated data suggest that it is easy to double the density of Ball's lower bound and, more tentatively, that the exponential decay rate of the density can be improved relative to Minkowski's longstanding 1/2.

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  • Received 25 May 2023
  • Accepted 24 July 2023

DOI:https://doi.org/10.1103/PhysRevE.108.034117

©2023 American Physical Society

Physics Subject Headings (PhySH)

Statistical Physics & Thermodynamics

synopsis

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Packing Spheres in High Dimensions

Published 21 September 2023

An algorithm originally developed for imaging generates useful data for a problem in pure mathematics.

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Authors & Affiliations

Veit Elser*

  • Department of Physics, Cornell University Ithaca, New York 14853, USA

  • *ve10@cornell.edu

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Issue

Vol. 108, Iss. 3 — September 2023

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