Clique is hard on average for regular resolution

Albert Atserias, Ilario Bonacina, Susanna F. De Rezende, Massimo Lauria, Jakob Nordström, Alexander Razborov

Research output: Chapter in Book/Report/Conference proceedingPaper in conference proceedingpeer-review

Abstract

We prove that for k ≪ 4 n regular resolution requires length nΩ(k) to establish that an Erdős–Rényi graph with appropriately chosen edge density does not contain a k-clique. This lower bound is optimal up to the multiplicative constant in the exponent, and also implies unconditional nΩ(k) lower bounds on running time for several state-of-the-art algorithms for finding maximum cliques in graphs.

Original languageEnglish
Title of host publicationSTOC 2018 - Proceedings of the 50th Annual ACM SIGACT Symposium on Theory of Computing
EditorsMonika Henzinger, David Kempe, Ilias Diakonikolas
PublisherAssociation for Computing Machinery (ACM)
Pages646-659
Number of pages14
ISBN (Electronic)9781450355599
DOIs
Publication statusPublished - 2018 Jun 20
Externally publishedYes
Event50th Annual ACM Symposium on Theory of Computing, STOC 2018 - Los Angeles, United States
Duration: 2018 Jun 252018 Jun 29

Publication series

NameProceedings of the Annual ACM Symposium on Theory of Computing
ISSN (Print)0737-8017

Conference

Conference50th Annual ACM Symposium on Theory of Computing, STOC 2018
Country/TerritoryUnited States
CityLos Angeles
Period2018/06/252018/06/29

Subject classification (UKÄ)

  • Computer Science

Free keywords

  • Erdős-Rényi random graphs
  • K-clique
  • Proof complexity
  • Regular resolution

Fingerprint

Dive into the research topics of 'Clique is hard on average for regular resolution'. Together they form a unique fingerprint.

Cite this