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Motivated by the well-known cases of the real Hilbert ball and complete R-trees, being both particular cases of CAT(-1) spaces, we give an affirmative answer to the question of whether the geodesically boundedness property is a necessary…

Metric Geometry · Mathematics 2014-08-01 Bozena Piatek

In this article a class of closed convex sets in the Euclidean $n$-space which are the convex hull of their profiles is described. Thus a generalization of Krein-Milman theorem\cite{Lay:1982} to a class of closed non-compact convex sets is…

Metric Geometry · Mathematics 2013-01-07 M. Beltagy , S. Shenawy

In recent years, the use of entropy-regularized optimal transport with $L^p$-type entropies has become increasingly popular. In this setting, the solutions are sparse, in the sense that the support of the regularized optimal coupling,…

Analysis of PDEs · Mathematics 2026-04-20 Alberto González-Sanz , Rishabh S. Gvalani , Lukas Koch

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

We prove that, if $W \subset \mathbb{R}^n$ is a locally strongly convex body (not necessarily compact), then for any open set $V \supset \partial W$ and $\varepsilon>0$, and $V \supset \partial W$ is open, then there exists a $C^2$ locally…

Classical Analysis and ODEs · Mathematics 2024-10-11 Daniel Azagra , Marjorie Drake , Piotr Hajłasz

Motivated by the statistical analysis of the discrete optimal transport problem, we prove distributional limits for the solutions of linear programs with random constraints. Such limits were first obtained by Klatt, Munk, & Zemel (2022),…

Statistics Theory · Mathematics 2023-02-27 Shuyu Liu , Florentina Bunea , Jonathan Niles-Weed

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

In the present paper, conditions under which the images of uniformly convex sets through $C^{1,1}$ regular mappings between Banach spaces remain convex are established. These conditions are expressed by a certain quantitative relation…

Optimization and Control · Mathematics 2015-07-17 Amos Uderzo

This paper presents new approaches to the fixed point property for nonexpansive mappings in L^1 spaces. While it is well-known that L^1 fails the fixed point property in general, we provide a complete and self-contained proof that…

Functional Analysis · Mathematics 2025-09-15 Faruk Alpay , Hamdi Alakkad

Let $C$ be a convex subset of a locally convex space. We provide optimal approximate fixed point results for sequentially continuous maps $f\colon C\to\bar{C}$. First we prove that if $f(C)$ is totally bounded, then it has an approximate…

Functional Analysis · Mathematics 2013-02-27 Cleon S. Barroso , Ondřej F. K. Kalenda , Michel P. Rebouças

A remarkable example of a nonempty closed convex set in the Euclidean plane for which the directional derivative of the metric projection mapping fails to exist was constructed by A. Shapiro. In this paper, we revisit and modify that…

Optimization and Control · Mathematics 2014-12-02 Shyan S. Akmal , Nguyen Mau Nam , J. J. P. Veerman

Extending the celebrated results of Alexandrov (1958) and Korevaar-Ros (1988) for smooth sets, as well as the results of Schneider (1979) and the first author (1999) for arbitrary convex bodies, we obtain for the first time the…

Metric Geometry · Mathematics 2022-11-21 Daniel Hug , Mario Santilli

One of the most well known random fractals is the so-called Fractal percolation set. This is defined as follows: we divide the unique cube in $\mathbb{R}^d$ into $M^d$ congruent sub-cubes. For each of these cubes a certain retention…

Dynamical Systems · Mathematics 2018-05-01 Károly Simon , Lajos Vágó

Menger conjectured that subsets of $\mathbb R$ with the Menger property must be $\sigma$-compact. While this is false when there is no restriction on the subsets of $\mathbb R$, for projective subsets it is known to follow from the Axiom of…

Logic · Mathematics 2018-03-26 Franklin D. Tall , Stevo Todorcevic , Seçil Tokgöz

In this note we study the maximal perimeter of a convex set in $\mathbb{R}^n$ with respect to various classes of measures. Firstly, we show that for a probability measure $\mu$ on $ \mathbb{R}^n$, satisfying very mild assumptions, there…

Metric Geometry · Mathematics 2019-05-01 Galyna V. Livshyts

We consider a definition of a weakly convex set which is a generalization of the notion of a weakly convex set in the sense of Vial and a proximally smooth set in the sense of Clarke, from the case of the Hilbert space to a class of Banach…

Functional Analysis · Mathematics 2010-07-02 Maxim V. Balashov , Dušan Repovš

Let B be a thick spherical building equipped with its natural CAT(1) metric and let M be a proper, convex subset of B. If M is open or if M is a closed ball of radius pi/2, then the maximal subcomplex supported by the complement of M is…

Geometric Topology · Mathematics 2016-01-20 Bernd Schulz

We consider the method of alternating projections for finding a point in the intersection of two closed sets, possibly nonconvex. Assuming only the standard transversality condition (or a weaker version thereof), we prove local linear…

Optimization and Control · Mathematics 2016-08-12 D. Drusvyatskiy , A. D. Ioffe , A. S. Lewis

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

This paper presents a detailed study of constrained quantization for both finite and infinite discrete probability distributions supported on subsets of the real line. Under specific geometric constraints - namely, a semicircular arc and…

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