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Lower Bounds for Maximal Matchings and Maximal Independent Sets

Alkida Balliu, Sebastian Brandt, Juho Hirvonen, Dennis Olivetti, Mikaël Rabie, Jukka Suomela

2021Journal of the ACM30 citationsDOI

Abstract

There are distributed graph algorithms for finding maximal matchings and maximal independent sets in O ( Δ + log * n ) communication rounds; here, n is the number of nodes and Δ is the maximum degree. The lower bound by Linial (1987, 1992) shows that the dependency on n is optimal: These problems cannot be solved in o (log * n ) rounds even if Δ = 2. However, the dependency on Δ is a long-standing open question, and there is currently an exponential gap between the upper and lower bounds. We prove that the upper bounds are tight. We show that any algorithm that finds a maximal matching or maximal independent set with probability at least 1-1/ n requires Ω (min { Δ , log log n / log log log n }) rounds in the LOCAL model of distributed computing. As a corollary, it follows that any deterministic algorithm that finds a maximal matching or maximal independent set requires Ω (min { Δ , log n / log log n }) rounds; this is an improvement over prior lower bounds also as a function of n .

Topics & Concepts

CombinatoricsMathematicsUpper and lower boundsBinary logarithmLog-log plotMatching (statistics)Independent setCorollaryMaximal independent setCompetitive analysisDiscrete mathematicsGraphLine graphStatisticsMathematical analysisPathwidthComplexity and Algorithms in GraphsCryptography and Data SecurityPrivacy-Preserving Technologies in Data
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