On Small Pair Decompositions for Point Sets

Fuente: arXiv
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Autori principali: Buchin, Kevin, Conradi, Jacobus, Har-Peled, Sariel, Kalb, Antonia, Lahiri, Abhiruk, Plätz, Lukas, Rehs, Carolin, Wong, Sampson
Natura: Preprint
Pubblicazione: 2026
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author Buchin, Kevin
Conradi, Jacobus
Har-Peled, Sariel
Kalb, Antonia
Lahiri, Abhiruk
Plätz, Lukas
Rehs, Carolin
Wong, Sampson
author_facet Buchin, Kevin
Conradi, Jacobus
Har-Peled, Sariel
Kalb, Antonia
Lahiri, Abhiruk
Plätz, Lukas
Rehs, Carolin
Wong, Sampson
contents $\newcommand{\Re}{\mathbb{R}}$We study the minWSPD problem of computing the minimum-size well-separated pairs decomposition of a set of points, and show constant approximation algorithms in low-dimensional Euclidean space and doubling metrics. This problem is computationally hard already $\Re^2$, and is also hard to approximate. We also introduce a new pair decomposition, removing the requirement that the diameters of the parts should be small. Surprisingly, we show that in a general metric space, one can compute such a decomposition of size $O( \tfrac{n}{\varepsilon}\log n)$, which is dramatically smaller than the quadratic bound for WSPDs. In $\Re^d$, the bound improves to $O( d \tfrac{n}{\varepsilon}\log \tfrac{1}{\varepsilon } )$.
format Preprint
id arxiv_https___arxiv_org_abs_2601_22728
institution arXiv
publishDate 2026
record_format arxiv
spellingShingle On Small Pair Decompositions for Point Sets
Buchin, Kevin
Conradi, Jacobus
Har-Peled, Sariel
Kalb, Antonia
Lahiri, Abhiruk
Plätz, Lukas
Rehs, Carolin
Wong, Sampson
Computational Geometry
$\newcommand{\Re}{\mathbb{R}}$We study the minWSPD problem of computing the minimum-size well-separated pairs decomposition of a set of points, and show constant approximation algorithms in low-dimensional Euclidean space and doubling metrics. This problem is computationally hard already $\Re^2$, and is also hard to approximate. We also introduce a new pair decomposition, removing the requirement that the diameters of the parts should be small. Surprisingly, we show that in a general metric space, one can compute such a decomposition of size $O( \tfrac{n}{\varepsilon}\log n)$, which is dramatically smaller than the quadratic bound for WSPDs. In $\Re^d$, the bound improves to $O( d \tfrac{n}{\varepsilon}\log \tfrac{1}{\varepsilon } )$.
title On Small Pair Decompositions for Point Sets
topic Computational Geometry
url https://arxiv.org/abs/2601.22728