English

Linear-in-$\Delta$ Lower Bounds in the LOCAL Model

Distributed, Parallel, and Cluster Computing 2019-12-24 v1 Computational Complexity Data Structures and Algorithms

Abstract

By prior work, there is a distributed algorithm that finds a maximal fractional matching (maximal edge packing) in O(Δ)O(\Delta) rounds, where Δ\Delta is the maximum degree of the graph. We show that this is optimal: there is no distributed algorithm that finds a maximal fractional matching in o(Δ)o(\Delta) rounds. Our work gives the first linear-in-Δ\Delta lower bound for a natural graph problem in the standard model of distributed computing---prior lower bounds for a wide range of graph problems have been at best logarithmic in Δ\Delta.

Keywords

Cite

@article{arxiv.1304.1007,
  title  = {Linear-in-$\Delta$ Lower Bounds in the LOCAL Model},
  author = {Mika Göös and Juho Hirvonen and Jukka Suomela},
  journal= {arXiv preprint arXiv:1304.1007},
  year   = {2019}
}

Comments

1 + 21 pages, 10 figures

R2 v1 2026-06-21T23:53:10.515Z