activity
20142024
most citedStolarsky principle and energy optimization on the sphere

11 citations · 16 across the 12 of their papers we have counts for

collaborators
Showing 2023Show all

6 papers · 1 filter

math.PR2023

A random line intersects in two probabilistically independent locations

Dmitriy Bilyk, Alan Chang, Otte Heinävaara +2

We consider random lines in (random with respect to the kinematic measure) and how they intersect . It is known that the entry point and the exit point…

math.CA2023

Riesz Energy, Discrepancy, and Optimal Transport of Determinantal Point Processes on the Sphere and the Flat Torus

Bence Borda, Peter Grabner, Ryan W. Matzke

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-cal…

math.AP2023

Minimizers for an aggregation model with attractive-repulsive interaction

Rupert L. Frank, Ryan W. Matzke

We solve explicitly a certain minimization problem for probability measures involving an interaction energy that is repulsive at short distances and attractive at large distances.…

math.CA2023

Optimal Measures for Multivariate Geometric Potentials

Dmitriy Bilyk, Damir Ferizović, Alexey Glazyrin +3

We study measures and point configurations optimizing energies based on multivariate potentials. The emphasis is put on potentials defined by geometric characteristics of sets of p…

math.CA2023

Optimizers of three-point energies and nearly orthogonal sets

Dmitriy Bilyk, Damir Ferizović, Alexey Glazyrin +3

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…

math.CA2023

Polarization and Greedy Energy on the Sphere

Dmitriy Bilyk, Michelle Mastrianni, Ryan W. Matzke +1

We investigate the behavior of a greedy sequence on the sphere defined so that at each step the point that minimizes the Riesz -energy is added to the existing se…