Metric embeddings of cubes into dense subsets of cubes
Miltiadis Karamanlis, Cosmas Kravaris

TL;DR
This paper investigates the conditions under which dense subsets of high-dimensional hypercubes contain metric embeddings of smaller cubes, providing bounds for various embedding types and exploring geometric curvature implications.
Contribution
It introduces new bounds for embedding smaller cubes into dense subsets of hypercubes under different metric constraints and applies these results to curvature and coloring problems.
Findings
Bound for bi-Lipschitz embeddings: N = O(ε^{-2} log(1/δ) k^3)
Bound for isometric embeddings with arbitrary rescaling: N = log(1/δ) e^{Ω(k)}
Bound for isometric embeddings with bounded rescaling: N = exp[log(1/δ) e^{Θ(k)}]
Abstract
Fix and . We study how large must be so that every -dense subset (meaning ) contains the image of a metric embedding . We study three variants. For a -bi-Lipschitz map with fixed , we show . For an isometric map with arbitrary rescaling (undistorted), we show and conjecture . For an isometric map with bounded rescaling we show . As a geometric application, we obtain a nonpositive Alexandrov curvature counterpart to the work of Bartal-Linial-Mendel-Naor on the nonlinear Dvoretzky problem. It is known that any subset of embedding with bi-Lipschitz…
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Taxonomy
TopicsNonlinear Partial Differential Equations · Geometric Analysis and Curvature Flows · Advanced Harmonic Analysis Research
