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Related papers: Bregman distances and Klee sets

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The contribution of this work is twofold. The first part deals with a Hilbert-space version of McCann's celebrated result on the existence and uniqueness of monotone measure-preserving maps: given two probability measures $\rm P$ and $\rm…

Probability · Mathematics 2023-05-23 Alberto González-Sanz , Marc Hallin , Bodhisattva Sen

The nearest point map of a real algebraic variety with respect to Euclidean distance is an algebraic function. For instance, for varieties of low rank matrices, the Eckart-Young Theorem states that this map is given by the singular value…

Algebraic Geometry · Mathematics 2014-12-01 Jan Draisma , Emil Horobet , Giorgio Ottaviani , Bernd Sturmfels , Rekha R. Thomas

In the study of Dirichlet series with arithmetic significance there has appeared (through the study of known examples) certain expectations, namely (i) if a functional equation and Euler product exists, then it is likely that a type of…

Number Theory · Mathematics 2024-10-10 J. Brian Conrey , Amit Ghosh

We prove bounds for the covering numbers of classes of convex functions and convex sets in Euclidean space. Previous results require the underlying convex functions or sets to be uniformly bounded. We relax this assumption and replace it…

Information Theory · Computer Science 2014-10-24 Adityanand Guntuboyina

Consider a differentiable convex function $f: \mathbb{R}^n \supset \mathrm{dom} f \rightarrow \mathbb{R}.$ The induced spectral function $F$ is given by $F=f \circ \lambda,$ where $\lambda: \mathbf{M}_n^{sa} \rightarrow \mathbb{R}^{n}$ is…

Functional Analysis · Mathematics 2015-08-04 Dániel Virosztek

We provide a proof of the union-closed sets conjecture, by means of a suitable refinement of the breakthrough entropy-approach introduced by Gilmer. The novelty here is to consider a convex combination of $A$ and $A\cup B$, where $A,B$ are…

Combinatorics · Mathematics 2023-02-09 Raffaele Scandone

Pairwise Euclidean distance calculation is a fundamental step in many machine learning and data analysis algorithms. In real-world applications, however, these distances are frequently distorted by heteroskedastic noise$\unicode{x2014}$a…

Machine Learning · Statistics 2025-09-12 Keyi Li , Yuval Kluger , Boris Landa

The aim of this paper is to provide an overview of recent development related to Bregman distances outside its native areas of optimization and statistics. We discuss approaches in inverse problems and image processing based on Bregman…

Optimization and Control · Mathematics 2015-05-21 Martin Burger

A finite set $X$ in the $d$-dimensional Euclidean space is called an $s$-distance set if the set of distances between any two distinct points of $X$ has size $s$. In 1977, Larman-Rogers-Seidel proved that if the cardinality of an…

Combinatorics · Mathematics 2021-06-18 Cheng-Jui Yeh , Wei-Hsuan Yu

In 1996, Meshulam proved that every sequence generated by applying projections onto affine subspaces, drawn from a finite collection in Euclidean space, must be bounded. In this paper, we extend his result not only from affine subspaces to…

Optimization and Control · Mathematics 2026-01-21 Heinz H. Bauschke , Tran Thanh Tung

I show that every rectifiable simple closed curve in the plane can be continuously deformed into a convex curve in a motion which preserves arc length and does not decrease the Euclidean distance between any pair of points on the curve.…

Differential Geometry · Mathematics 2011-11-22 John Pardon

A new intrinsic volume metric is introduced for the class of convex bodies in $\mathbb{R}^n$. As an application, an inequality is proved for the asymptotic best approximation of the Euclidean unit ball by arbitrarily positioned polytopes…

Metric Geometry · Mathematics 2023-03-15 Florian Besau , Steven Hoehner

We consider the direction set determined by various subsets $E$ of Euclidean space and show that there is a trichotomy: Either (i) The subset is the graph of a Lipschitz function and the direction set is not dense in the sphere, (ii) The…

Classical Analysis and ODEs · Mathematics 2017-03-07 Alex Iosevich , Jonathan Pakianathan

In this paper we discuss a classical geometrical problem of estimating an unknown point's location in $\Real{n}$ from several noisy measurements of the Euclidean distances from this point to a set of known reference points (anchors). We…

Computational Engineering, Finance, and Science · Computer Science 2026-03-06 Giuseppe C. Calafiore

The famous Erd\H{o}s distinct distances problem asks the following: how many distinct distances must exist between a set of $n$ points in the plane? There are many generalisations of this question that ask one to consider different spaces…

Combinatorics · Mathematics 2025-05-13 Sean Dewar , Nora Frankl , Samuel Mansfield , Anthony Nixon , Jonathan Passant , Audie Warren

We study the distance set problem for pairs of compact sets $A, B\subset \mathbb{R}^n$, $n\geq 2$. We show that if $B$ is contained in a hyperplane and \begin{align*} \dim_{H} A+\dim_{H} B>n, \end{align*} then the distance set $…

Classical Analysis and ODEs · Mathematics 2026-03-02 Minh-Quy Pham

The bisector of two nonempty sets P and Q in a metric space is the set of all points with equal distance to P and to Q. A distance k-sector of P and Q, where k is an integer, is a (k-1)-tuple (C_1, C_2, ..., C_{k-1}) such that C_i is the…

Computational Geometry · Computer Science 2010-07-19 Keiko Imai , Akitoshi Kawamura , Jiří Matoušek , Daniel Reem , Takeshi Tokuyama

We prove new versions of the isomorphic Busemann-Petty problem for two different measures and show how these results can be used to recover slicing and distance inequalities. We also prove a sharp upper estimate for the outer volume ratio…

Functional Analysis · Mathematics 2019-12-03 Alexander Koldobsky , Grigoris Paouris , Artem Zvavitch

We show that the minimum distance projection in the L1-norm from an interior point onto the boundary of a convex set is achieved by a single, unidimensional projection. Application of this characterization when the convex set is a…

Optimization and Control · Mathematics 2007-05-23 Hans J. H. Tuenter

The aim of this article is to generalize the notion of the cut locus and to get the structure theorem for it. For this purpose, we first introduce a class of 1-Lipschitz functions, each member of which is called an {\it almost distance…

Differential Geometry · Mathematics 2018-10-02 Minoru Tanaka