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We consider the equilibria of point particles under the action of two body central forces in which there are both repulsive and attractive interactions, often known as central configurations, with diverse applications in physics, in…

High Energy Physics - Theory · Physics 2009-11-07 Richard Battye , Gary Gibbons , Paul Sutcliffe

The paper concerns the problem whether a nonseparable $\C(K)$ space must contain a set of unit vectors whose cardinality equals to the density of $\C(K)$ such that the distances between every two distinct vectors are always greater than…

Functional Analysis · Mathematics 2019-09-05 Marek Cúth , Benjamin Vejnar , Ondřej Kurka

We study the problem of mean estimation for high-dimensional distributions, assuming access to a statistical query oracle for the distribution. For a normed space $X = (\mathbb{R}^d, \|\cdot\|_X)$ and a distribution supported on vectors $x…

Data Structures and Algorithms · Computer Science 2019-02-08 Jerry Li , Aleksandar Nikolov , Ilya Razenshteyn , Erik Waingarten

We examine a Gelfand type system and show the extremal solutions are bounded provided we are close enough to the scalar case.

Analysis of PDEs · Mathematics 2010-08-24 Craig Cowan

We study the maximum cardinality problem of a set of few distances in the Hamming and Johnson spaces. We formulate semidefinite programs for this problem and extend the 2011 works by Barg-Musin and Musin-Nozaki. As our main result, we find…

Combinatorics · Mathematics 2022-07-08 Alexander Barg , Ching-Yi Lai , Pin-Chieh Tseng , Wei-Hsuan Yu

For a point set of $n$ elements in the $d$-dimensional unit cube and a class of test sets we are interested in the largest volume of a test set which does not contain any point. For all natural numbers $n$, $d$ and under the assumption of a…

Computational Geometry · Computer Science 2017-10-03 Daniel Rudolf

Concentration of distances in high dimension is an important factor for the development and design of stable and reliable data analysis algorithms. In this paper, we address the fundamental long-standing question about the concentration of…

Machine Learning · Computer Science 2026-04-01 Ivan Y. Tyukin , Bogdan Grechuk , Evgeny M. Mirkes , Alexander N. Gorban

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

We prove new bounds on the dimensions of distance sets and pinned distance sets of planar sets. Among other results, we show that if $A\subset\mathbb{R}^2$ is a Borel set of Hausdorff dimension $s>1$, then its distance set has Hausdorff…

Classical Analysis and ODEs · Mathematics 2019-12-17 Tamás Keleti , Pablo Shmerkin

We find estimates on the norms commutators of the form [f(x), y] in terms of the norm of [x, y] assuming that x and y are contractions in a C*-algebra A, with x normal and with spectrum within the domain of f. In particular we discuss [x^2,…

Operator Algebras · Mathematics 2015-04-16 Terry A. Loring , Fredy Vides

We prove the conjectured limiting normality for the number of crossings of a uniformly chosen set partition of [n] = {1,2,...,n}. The arguments use a novel stochastic representation and are also used to prove central limit theorems for the…

Combinatorics · Mathematics 2015-02-04 Bobbie Chern , Persi Diaconis , Daniel M. Kane , Robert C. Rhoades

We present and study approximate notions of dimensional and margin complexity, which correspond to the minimal dimension or norm of an embedding required to approximate, rather then exactly represent, a given hypothesis class. We show that…

Machine Learning · Computer Science 2020-03-10 Pritish Kamath , Omar Montasser , Nathan Srebro

Given a convex set and an interior point close to the boundary, we prove the existence of a supporting hyperplane whose distance to the point is controlled, in a dimensionally quantified way, by the thickness of the convex set in the…

Analysis of PDEs · Mathematics 2011-07-07 Alessio Figalli , Young-Heon Kim , Robert J. McCann

We show that the convex set of separable mixed states of the 2 x 2 system is a body of constant height. This fact is used to prove that the probability to find a random state to be separable equals 2 times the probability to find a random…

Quantum Physics · Physics 2009-11-11 Stanislaw Szarek , Ingemar Bengtsson , Karol Zyczkowski

For $d\geq 2$ and any norm on $\mathbb R^d$, we prove that there exists a set of $n$ points that spans at least $(\tfrac d2-o(1))n\log_2n$ unit distances under this norm for every $n$. This matches the upper bound recently proved by Alon,…

Combinatorics · Mathematics 2025-10-03 Josef Greilhuber , Carl Schildkraut , Jonathan Tidor

In this paper, we considier the limiting distribution of the maximum interpoint Euclidean distance $M_n=\max _{1 \leq i<j \leq n}\left\|\boldsymbol{X}_i-\boldsymbol{X}_j\right\|$, where $\boldsymbol{X}_1, \boldsymbol{X}_2, \ldots,…

Probability · Mathematics 2023-12-19 Guowei Yan , Long Feng

Given two triangulations of a convex polygon, computing the minimum number of flips required to transform one to the other is a long-standing open problem. It is not known whether the problem is in P or NP-complete. We prove that two…

Computational Geometry · Computer Science 2012-05-14 Anna Lubiw , Vinayak Pathak

A finite subset $X$ on the unit sphere $\mathbb{S}^{d-1}$ is called an $s$-distance set with strength $t$ if its angle set $A(X):=\{\langle \mathbf{x},\mathbf{y}\rangle : \mathbf{x},\mathbf{y}\in X,\mathbf{x}\neq\mathbf{y} \}$ has size $s$,…

Combinatorics · Mathematics 2020-07-31 Zhiqiang Xu , Zili Xu , Wei-Hsuan Yu

A subset of a Banach space is called equilateral if the distances between any two of its distinct elements are the same. It is proved that there exist non-separable Banach spaces (in fact of density continuum) with no infinite equilateral…

Functional Analysis · Mathematics 2021-05-25 Piotr Koszmider , Hugh Wark

Suppose that $K \subseteq \RR^d$ is a 0-symmetric convex body which defines the usual norm $$ \Norm{x}_K = \sup\Set{t\ge 0: x \notin tK} $$ on $\RR^d$. Let also $A\subseteq\RR^d$ be a measurable set of positive upper density $\rho$. We show…

Classical Analysis and ODEs · Mathematics 2007-05-23 Mihail N. Kolountzakis