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Main Authors: Cherkashin, Danila, Teplitskaya, Yana
Format: Preprint
Published: 2022
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Online Access:https://arxiv.org/abs/2212.05607
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author Cherkashin, Danila
Teplitskaya, Yana
author_facet Cherkashin, Danila
Teplitskaya, Yana
contents Consider a compact $M \subset \mathbb{R}^d$ and $l > 0$. A maximal distance minimizer problem is to find a connected compact set $Σ$ of the length (one-dimensional Hausdorff measure $\mathcal H$) at most $l$ that minimizes \[ \max_{y \in M} dist (y, Σ), \] where $dist$ stands for the Euclidean distance. We give a survey on the results on the maximal distance minimizers and related problems. Also we fill some natural gaps by showing NP-hardness of the maximal distance minimizing problem, establishing its $Γ$-convergence, considering the penalized form and discussing uniqueness of a solution. We finish with open questions.
format Preprint
id arxiv_https___arxiv_org_abs_2212_05607
institution arXiv
publishDate 2022
record_format arxiv
spellingShingle An overview of maximal distance minimizers problem
Cherkashin, Danila
Teplitskaya, Yana
Metric Geometry
Consider a compact $M \subset \mathbb{R}^d$ and $l > 0$. A maximal distance minimizer problem is to find a connected compact set $Σ$ of the length (one-dimensional Hausdorff measure $\mathcal H$) at most $l$ that minimizes \[ \max_{y \in M} dist (y, Σ), \] where $dist$ stands for the Euclidean distance. We give a survey on the results on the maximal distance minimizers and related problems. Also we fill some natural gaps by showing NP-hardness of the maximal distance minimizing problem, establishing its $Γ$-convergence, considering the penalized form and discussing uniqueness of a solution. We finish with open questions.
title An overview of maximal distance minimizers problem
topic Metric Geometry
url https://arxiv.org/abs/2212.05607