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The main purposes of this paper are (1) To survey the area of coarse embeddability of metric spaces into Banach spaces, and, in particular, coarse embeddability of different Banach spaces into each other; (2) To present new results on the…

Functional Analysis · Mathematics 2009-03-23 M. I. Ostrovskii

We answer a question of Aharoni by showing that every separable metric space can be Lipschitz 2-embedded into $c_0$ and this result is sharp; this improves earlier estimates of Aharoni, Assouad and Pelant. We use our methods to examine the…

Functional Analysis · Mathematics 2007-08-30 N. J. Kalton , G. Lancien

Let $M$ be a separable metric space. We say that $f=(f_n):M\to c_0$ is a good-$\lambda$-embedding if, whenever $x,y\in M$, $x\ne y$ implies $d(x,y)\le\Vert f(x)-f(y)\Vert$ and, for each $n$, $Lip(f_n)<\lambda$, where $Lip(f_n)$ denotes the…

Functional Analysis · Mathematics 2016-12-08 Florent P. Baudier , Robert Deville

We discuss various aspects of a local-to-global embedding technique and the metric geometry of stable metric spaces and of two of its important subclasses: locally finite spaces and proper spaces. We explain how the barycentric gluing…

Metric Geometry · Mathematics 2020-12-23 Florent Pierre Baudier

We describe surjective linear isometries and linear isometry groups of a large class of Lipschitz-free spaces that includes e.g. Lipschitz-free spaces over any graph. We define the notion of a Lipschitz-free rigid metric space whose…

Functional Analysis · Mathematics 2025-03-14 Marek Cúth , Michal Doucha , Tamás Titkos

A carpet is a metric space homeomorphic to the Sierpinski carpet. We characterize, within a certain class of examples, non-self-similar carpets supporting curve families of nontrivial modulus and supporting Poincar\'e inequalities. Our…

Metric Geometry · Mathematics 2013-11-12 John M. Mackay , Jeremy T. Tyson , Kevin Wildrick

Consider a finite dimensional real vector space and a finite group acting unitarily on it. We study the general problem of constructing Euclidean stable embeddings of the quotient space of orbits. Our embedding is based on subsets of sorted…

Representation Theory · Mathematics 2025-08-18 Radu Balan , Efstratios Tsoukanis

The main result states that a connected conic singular sub-manifold of a Riemannian manifold, compact when the ambient manifold is non-Euclidean, is Lipschitz Normally Embedded: the outer and inner metric space structures are metrically…

Differential Geometry · Mathematics 2023-06-27 André Costa , Vincent Grandjean , Maria Michalska

Consider the sum of the first $N$ eigenspaces for the Laplacian on a Riemannian manifold. A basis for this space determines a map to Euclidean space and for $N$ sufficiently large the map is an embedding. In analogy with a fruitful idea of…

Differential Geometry · Mathematics 2014-04-30 Eric Potash

Given a category of objects, it is both useful and important to know if all the objects in the category may be realised as sub-objects -- via morphisms in the given category -- of a single object in that category enjoying some nice…

Functional Analysis · Mathematics 2019-07-18 M. A. Sofi

The Lipschitz geometry of segments of the infinite Hamming cube is studied. Tight estimates on the distortion necessary to embed the segments into spaces of continuous functions on countable compact metric spaces are given. As an…

Functional Analysis · Mathematics 2017-09-27 F. Baudier , D. Freeman , Th. Schlumprecht , A. Zsák

Bilipschitz invariant theory concerns low-distortion embeddings of orbit spaces into Euclidean space. To date, embeddings with the smallest-possible distortion are known for only a few cases, to include: (a) planar rotations, (b) real phase…

Functional Analysis · Mathematics 2026-03-26 Jameson Cahill , Joseph W. Iverson , Dustin G. Mixon , Nathan Willey

We find a class of metric structures which do not admit bilipschitz embeddings into Banach spaces with the Radon-Nikod\'ym property. Our proof relies on Chatterji's (1968) martingale characterization of the RNP and does not use the…

Functional Analysis · Mathematics 2014-06-24 Mikhail I. Ostrovskii

We consider the problem of reconstructing an embedding of a compact connected Riemannian manifold in a Euclidean space up to an almost isometry, given the information on intrinsic distances between points from its ``sufficiently large''…

Optimization and Control · Mathematics 2024-01-26 Nikita Puchkin , Vladimir Spokoiny , Eugene Stepanov , Dario Trevisan

We study how well a quasi-Banach space can be coarsely embedded into a Hilbert space. Given any quasi-Banach space X which coarsely embeds into a Hilbert space, we compute its Hilbert space compression exponent. We also show that the…

Functional Analysis · Mathematics 2015-11-18 Michal Kraus

Motivated by the result of Dantas et. al. (2023) that there exist metric spaces for which the set of strongly norm-attaining Lipschitz functions does not contain an isometric copy of $c_0$, we introduce and study a weaker notion of…

Functional Analysis · Mathematics 2023-12-04 Geunsu Choi , Mingu Jung , Han Ju Lee , Óscar Roldán

This paper is devoted to the study of quotients of finite metric spaces. The basic type of question we ask is: Given a finite metric space M, what is the largest quotient of (a subset of) M which well embeds into Hilbert space. We obtain…

Metric Geometry · Mathematics 2007-05-23 Manor Mendel , Assaf Naor

The purpose of this paper is to introduce and study some basic concepts of quantitative rectifiability in the first Heisenberg group $\mathbb{H}$. In particular, we aim to demonstrate that new phenomena arise compared to the Euclidean…

Classical Analysis and ODEs · Mathematics 2018-04-12 Vasileios Chousionis , Katrin Fässler , Tuomas Orponen

In the proof of his systolic inequality, Gromov uses an isometric embedding of a Riemannian manifold M into the Banach space of bounded functions on M, the so-called Kuratowski-embedding. Subsequently, it was shown by different authors that…

Metric Geometry · Mathematics 2013-07-04 Malte Roeer

The problem of computing a bi-Lipschitz embedding of a graphical metric into the line with minimum distortion has received a lot of attention. The best-known approximation algorithm computes an embedding with distortion $O(c^2)$, where $c$…

Data Structures and Algorithms · Computer Science 2020-02-25 Karine Chubarian , Anastasios Sidiropoulos
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