A Polynomial Coreset for Furthest Neighbor in Planar Metrics
Kacper Kluk, Hung Le, Wojciech Nadara, Marcin Pilipczuk, Hector Tierno, Vinayak

TL;DR
This paper proves the existence of polynomial-sized $ ext{epsilon}$-coresets for furthest neighbor queries in planar metrics, improving previous exponential bounds and resolving an open problem for polygonal domains with holes.
Contribution
It establishes a polynomial bound on $ ext{epsilon}$-coresets in planar metrics and introduces the $ ext{epsilon}$-comatching index, showing a surprising exponential separation from $ ext{epsilon}$-(semi-)ladder indices.
Findings
Polynomial-sized $ ext{epsilon}$-coresets exist for planar metrics.
Introduces the $ ext{epsilon}$-comatching index and proves its polynomial bound.
Shows exponential lower bound for $ ext{epsilon}$-(semi-)ladder index in planar metrics.
Abstract
A furthest neighbor data structure on a metric space and a set answers the following query: given , output maximizing ; in the approximate version, it is allowed to report any with for an accuracy parameter . A particular type of approximate furthest neighbor data structure is an -coreset: a small subset such that for every query there is a feasible answer . Our main result is that in planar metrics there always exists an -coreset for furthest neighbors of size bounded polynomially in . This improves upon an exponential bound of Bourneuf and Pilipczuk [SODA'25] and resolves an open problem of de Berg and Theocharous [SoCG'24]…
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