Multi-Dimensional Stable Roommates in 2-Dimensional Euclidean Space

Jiehua Chen, Sanjukta Roy

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

2 Scopus citations

Abstract

We investigate the Euclidean d-Dimensional Stable Roommates problem, which asks whether a given set V of d n points from the 2-dimensional Euclidean space can be partitioned into n disjoint (unordered) subsets Π = {V1, , Vn} with |Vi| = d for each Vi ϵ Π such that Π is stable. Here, stability means that no point subset W ⊆ V is blocking Π, and W is said to be blocking Πif |W| = d such that Σ w ϵW δ(w,w) < Σ vϵΠ(w) δ(w, v) holds for each point w ϵ W, where Π (w) denotes the subset Vi ϵ Π which contains w and δ(a, b) denotes the Euclidean distance between points a and b. Complementing the existing known polynomial-time result for d = 2, we show that such polynomial-time algorithms cannot exist for any fixed number d ≥ 3 unless P=NP. Our result for d = 3 answers a decade-long open question in the theory of Stable Matching and Hedonic Games [18, 1, 10, 26, 21].

Original languageEnglish
Title of host publication30th Annual European Symposium on Algorithms, ESA 2022
EditorsShiri Chechik, Gonzalo Navarro, Eva Rotenberg, Grzegorz Herman
PublisherSchloss Dagstuhl- Leibniz-Zentrum fur Informatik GmbH, Dagstuhl Publishing
ISBN (Electronic)9783959772471
DOIs
StatePublished - 1 Sep 2022
Externally publishedYes
Event30th Annual European Symposium on Algorithms, ESA 2022 - Berlin/Potsdam, Germany
Duration: 5 Sep 20229 Sep 2022

Publication series

NameLeibniz International Proceedings in Informatics, LIPIcs
Volume244
ISSN (Print)1868-8969

Conference

Conference30th Annual European Symposium on Algorithms, ESA 2022
Country/TerritoryGermany
CityBerlin/Potsdam
Period5/09/229/09/22

Keywords

  • Euclidean preferences
  • NP-hardness
  • coalition formation games
  • multidimensional stable roommates
  • stable cores
  • stable matchings

ASJC Scopus subject areas

  • Software

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