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A closed subset of $\mathbb{R}^q$, definable in some given o-minimal structure, is Lipschitz normally embedded in $\mathbb{R}^q$ if and only if its one-point compactification is Lipschitz normally embedded in the unit sphere ${\bf S}^q$($ =…

Algebraic Geometry · Mathematics 2023-10-26 André Costa , Vincent Grandjean , Maria Michalska

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 prove a quantitative version of the following statement. Given a Lipschitz function f from the k-dimensional unit cube into a general metric space, one can decomposed f into a finite number of BiLipschitz functions f|_{F_i} so that the…

Metric Geometry · Mathematics 2008-06-12 Raanan Schul

We show that every centrally symmetric bi-Lipschitz embedding of the circle into the plane can be extended to a global bi-Lipschitz map of the plane with linear bounds on the distortion. This answers a question of Daneri and Pratelli in the…

Complex Variables · Mathematics 2018-07-10 Leonid V. Kovalev

We study the quantitative properties of Lipschitz mappings from Euclidean spaces into metric spaces. We prove that it is always possible to decompose the domain of such a mapping into pieces on which the mapping "behaves like a projection…

Metric Geometry · Mathematics 2020-05-14 Guy C. David , Raanan Schul

We prove that any diffeomorphism of the sphere S^n to itself can be decomposed into bi-Lipschitz mappings of small isometric distortion and which move points a small amount in the spherical metric.

Complex Variables · Mathematics 2014-02-26 Alastair Fletcher , Vladimir Markovic

As our main theorem, we prove that a Lipschitz map from a compact Riemannian manifold $M$ into a Riemannian manifold $N$ admits a smooth approximation via immersions if the map has no singular points on $M$ in the sense of F.H. Clarke,…

Differential Geometry · Mathematics 2017-03-01 Kei Kondo , Minoru Tanaka

A natural quantity that measures how well a map $f:\mathbb{R}^{d}\rightarrow \mathbb{R}^{D}$ is approximated by an affine transformation is…

Classical Analysis and ODEs · Mathematics 2015-03-02 Jonas Azzam

We show that for each fixed non-constant complex polynomial $P$ of the plane there exists a homeomorphism $h$ such that $P\circ h$ is a Lipschitz quotient mapping. This corrects errors in the construction given earlier by Johnson et. al.…

Functional Analysis · Mathematics 2023-05-24 Ricky Hutchins , Olga Maleva

We give necessary and sufficient conditions for a Lipschitz map, or more generally a uniformly Lipschitz family of maps, to factor the Hamming cubes. This is an extension to Lipschitz maps of a particular spatial result of Bourgain, Milman,…

Functional Analysis · Mathematics 2018-10-16 R. M. Causey

We construct bi-Lipschitz embeddings into Euclidean space for manifolds and orbifolds of bounded diameter and curvature. The distortion and dimension of such embeddings is bounded by diameter, curvature and dimension alone. Our results also…

Metric Geometry · Mathematics 2018-04-18 Sylvester Eriksson-Bique

The approximation of Sobolev homeomorphisms by smooth diffeomorphisms is well understood in first-order spaces $W^{1,p}$, but remains largely open in the second-order space $W^{2,1}$ due to a fundamental tension between curvature control…

Functional Analysis · Mathematics 2026-04-07 Luigi D'Onofrio

The Decomposition Problem in the class $LIP(\mathbb{S}^2)$ is to decompose any bi-Lipschitz map $f:\mathbb{S}^2 \to \mathbb{S}^2$ as a composition of finitely many maps of arbitrarily small isometric distortion. In this paper, we construct…

Metric Geometry · Mathematics 2022-02-11 Alastair N. Fletcher , Vyron Vellis

Given a Lipschitz map $f$ from a cube into a metric space, we find several equivalent conditions for $f$ to have a Lipschitz factorization through a metric tree. As an application we prove a recent conjecture of David and Schul. The…

Metric Geometry · Mathematics 2022-03-21 Behnam Esmayli , Piotr Hajłasz

We observe that embeddings into random metrics can be fruitfully used to study the $L_1$-embeddability of lamplighter graphs or groups, and more generally lamplighter metric spaces. Once this connection has been established, several new…

Metric Geometry · Mathematics 2020-05-26 Florent P. Baudier , Pavlos Motakis , Thomas Schlumprecht , András Zsák

We characterize uniformly perfect, complete, doubling metric spaces which embed bi- Lipschitzly into Euclidean space. Our result applies in particular to spaces of Grushin type equipped with Carnot-Carath\'eodory distance. Hence we obtain…

Metric Geometry · Mathematics 2011-05-13 Jeehyeon Seo

We prove that coronizations with respect to arbitrary d-regular sets (not necessarily graphs) imply big pieces squared of these (approximating) sets. This is known (and due to David and Semmes in the case of sufficiently large co-dimension,…

Classical Analysis and ODEs · Mathematics 2020-09-11 Simon Bortz , John Hoffman , Steve Hofmann , José Luis Luna Garcia , Kaj Nyström

We show that a planar bi-Lipschitz orientation-preserving homeomorphism can be approximated in the $W^{1,p}$ norm, together with its inverse, with an orientation-preserving homeomorphism which is piecewise affine or smooth.

Analysis of PDEs · Mathematics 2011-10-31 Sara Daneri , Aldo Pratelli

This paper is concerned with embeddings of homogeneous spaces into Euclidean spaces. We show that any homogeneous metric space can be embedded into a Hilbert space using an almost bi-Lipschitz mapping (bi-Lipschitz to within logarithmic…

Metric Geometry · Mathematics 2011-02-19 Eric J. Olson , James C. Robinson

We study permutation-invariant embeddings of $d$-dimensional point sets, which are defined by sorting $D$ independent one-dimensional projections of the input. Such embeddings arise in graph deep learning where outputs should be invariant…

Machine Learning · Computer Science 2026-05-26 Nadav Dym , Matthias Wellershoff , Efstratios Tsoukanis , Daniel Levy , Radu Balan
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