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This note treats several problems for the fractional perimeter or $s$-perimeter on the sphere. The spherical fractional isoperimetric inequality is established. It turns out that the equality cases are exactly the spherical caps.…

Functional Analysis · Mathematics 2020-12-01 Andreas Kreuml , Olaf Mordhorst

The spherical ensemble is a well-known ensemble of N repulsive points on the two-dimensional sphere, which can realized in various ways (as a random matrix ensemble, a determinantal point process, a Coulomb gas, a Quantum Hall state...).…

Probability · Mathematics 2021-10-28 Robert J. Berman

How to distribute a set of points uniformly on a spherical surface is a very old problem that still lacks a definite answer. In this work, we introduce a physical measure of uniformity based on the distribution of distances between points,…

Statistical Mechanics · Physics 2025-01-09 Luca Maria Del Bono , Flavio Nicoletti , Federico Ricci-Tersenghi

The minimal spherical cap dispersion ${\rm disp}_{\mathcal{C}}(n,d)$ is the largest number $\varepsilon\in (0,1]$ such that, for every $n$ points on the $d$-dimensional Euclidean unit sphere $\mathbb{S}^d$, there exists a spherical cap with…

Metric Geometry · Mathematics 2025-12-10 Alexander E. Litvak , Mathias Sonnleitner , Tomasz Szczepanski

The classical Stolarsky invariance principle connects the spherical cap $L^2$ discrepancy of a finite point set on the sphere to the pairwise sum of Euclidean distances between the points. In this paper we further explore and extend this…

Classical Analysis and ODEs · Mathematics 2016-11-15 Dmitriy Bilyk , Feng Dai , Ryan Matzke

In this note we will consider the question when from the appropriate behavior of a sequence of points on caps we can conclude that the sequence is uniformly distributed on the sphere.

Classical Analysis and ODEs · Mathematics 2010-05-13 Aljosa Volcic

We study the $L^{\infty}$ discrepancy of point sets generated by determinantal point processes on all compact, connected two-point homogeneous spaces, namely spheres and projective spaces. Using concentration inequalities and variance…

Classical Analysis and ODEs · Mathematics 2026-05-22 Carlos Beltrán , Ujué Etayo , Giacomo Gigante , Pedro R. López-Gómez , Ryan W. Matzke

In this paper, we mainly consider the problem of spherical distribution of 5 points, that is, how to configure 5 points on a sphere such that the mutual distance sum attains the maximum. It is conjectured that the sum of distances is…

Discrete Mathematics · Computer Science 2009-06-05 Xiaorong Hou , Junwei Shao

In this paper we prove an analogue in the discrete setting of \Bbb Z^d, of the spherical maximal theorem for \Bbb R^d. The methods used are two-fold: the application of certain "sampling" techniques, and ideas arising in the study of the…

Classical Analysis and ODEs · Mathematics 2007-05-23 A. Magyar , E. M. Stein , S. Wainger

For a distribution function $F$ on $\mathbb{R}^d$ and a point $q\in \mathbb{R}^d$, the \emph{spherical depth} $\SphD(q;F)$ is defined to be the probability that a point $q$ is contained inside a random closed hyper-ball obtained from a pair…

Computational Geometry · Computer Science 2017-02-27 David Bremner , Rasoul Shahsavarifar

Geometric discrepancies are standard measures to quantify the irregularity of distributions. They are an important notion in numerical integration. One of the most important discrepancy notions is the so-called \emph{star discrepancy}.…

Neural and Evolutionary Computing · Computer Science 2013-10-08 Carola Doerr , Francois-Michel De Rainville

Let E be an elliptic curve defined over a number field k. In this paper, we define the ``global discrepancy'' of a finite set Z of algebraic points on E which in a precise sense measures how far the set is from being adelically…

Number Theory · Mathematics 2007-05-23 Matthew Baker , Clayton Petsche

This paper provides a survey of spherical designs and their applications, with a particular emphasis on the perspective of ``numerical analysis''. A set \(X_N\) of \(N\) points on the unit sphere \(\mathbb{S}^d\) is called a…

Numerical Analysis · Mathematics 2026-01-21 Congpei An , Xiaosheng Zhuang

This article gives the construction and complete classification of all three-dimensional spherical manifolds, and orders them by decreasing volume, in the context of multiconnected universe models with positive spatial curvature. It…

General Relativity and Quantum Cosmology · Physics 2008-11-26 Evelise Gausmann , Roland Lehoucq , Jean-Pierre Luminet , Jean-Philippe Uzan , Jeffrey Weeks

The star discrepancy $D_N^*(\mathcal{P})$ is a quantitative measure for the irregularity of distribution of a finite point set $\mathcal{P}$ in the multi-dimensional unit cube which is intimately related to the integration error of…

Number Theory · Mathematics 2018-03-22 Mario Neumüller , Friedrich Pillichshammer

Determinantal point processes exhibit an inherent repulsive behavior, thus providing examples of very evenly distributed point sets on manifolds. In this paper, we study the so-called harmonic ensemble, defined in terms of Laplace…

Classical Analysis and ODEs · Mathematics 2024-02-20 Bence Borda , Peter Grabner , Ryan W. Matzke

Most of the work on checking spherical symmetry assumptions on the distribution of the $p$-dimensional random vector $Y$ has its focus on statistical tests for the null hypothesis of exact spherical symmetry. In this paper, we take a…

Methodology · Statistics 2026-01-26 Lujia Bai , Holger Dette

We study the spherical cap packing problem with a probabilistic approach. Such probabilistic considerations result in an asymptotic sharp universal uniform bound on the maximal inner product between any set of unit vectors and a…

Statistics Theory · Mathematics 2017-05-08 Kai Zhang

The present paper analyzes the discrepancy of distribution of rational points on general semisimple algebraic group varieties. The results include mean-square, almost sure, and uniform discrepancy estimates with explicit error bounds, which…

Number Theory · Mathematics 2021-04-15 Alexander Gorodnik , Amos Nevo

The $L_{\infty}$ star discrepancy is a measure for the regularity of a finite set of points taken from $[0,1)^d$. Low discrepancy point sets are highly relevant for Quasi-Monte Carlo methods in numerical integration and several other…

Neural and Evolutionary Computing · Computer Science 2023-06-30 François Clément , Diederick Vermetten , Jacob de Nobel , Alexandre D. Jesus , Luís Paquete , Carola Doerr