English

The minimal spherical dispersion

Metric Geometry 2022-01-20 v4 Numerical Analysis Numerical Analysis

Abstract

We prove upper and lower bounds on the minimal spherical dispersion, improving upon previous estimates obtained by Rote and Tichy [Spherical dispersion with an application to polygonal approximation of curves, Anz. \"Osterreich. Akad. Wiss. Math.-Natur. Kl. 132 (1995), 3--10]. In particular, we see that the inverse N(ε,d)N(\varepsilon,d) of the minimal spherical dispersion is, for fixed ε>0\varepsilon>0, linear in the dimension dd of the ambient space. We also derive upper and lower bounds on the expected dispersion for points chosen independently and uniformly at random from the Euclidean unit sphere. In terms of the corresponding inverse N~(ε,d)\widetilde{N}(\varepsilon,d), our bounds are optimal with respect to the dependence on ε\varepsilon.

Keywords

Cite

@article{arxiv.2103.11701,
  title  = {The minimal spherical dispersion},
  author = {Joscha Prochno and Daniel Rudolf},
  journal= {arXiv preprint arXiv:2103.11701},
  year   = {2022}
}

Comments

10 pages, 1 figure

R2 v1 2026-06-24T00:24:55.748Z