Clique is hard on average for regular resolution

Research output: Chapter in Book/Report/Conference proceedingArticle in proceedingsResearchpeer-review

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

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
Number of pages14
PublisherACM Association for Computing Machinery
Publication date20 Jun 2018
Pages646-659
ISBN (Electronic)9781450355599
DOIs
Publication statusPublished - 20 Jun 2018
Externally publishedYes
Event50th Annual ACM Symposium on Theory of Computing, STOC 2018 - Los Angeles, United States
Duration: 25 Jun 201829 Jun 2018

Conference

Conference50th Annual ACM Symposium on Theory of Computing, STOC 2018
LandUnited States
ByLos Angeles
Periode25/06/201829/06/2018
SponsorACM Special Interest Group on Algorithms and Computation Theory (SIGACT)
SeriesProceedings of the Annual ACM Symposium on Theory of Computing
ISSN0737-8017

    Research areas

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

ID: 251867616