English

Clique Is Hard on Average for Sherali-Adams with Bounded Coefficients

Computational Complexity 2024-04-26 v1

Abstract

We prove that Sherali-Adams with polynomially bounded coefficients requires proofs of size nΩ(d)n^{\Omega(d)} to rule out the existence of an nΘ(1)n^{\Theta(1)}-clique in Erd\H{o}s-R\'{e}nyi random graphs whose maximum clique is of size d2lognd\leq 2\log n. This lower bound is tight up to the multiplicative constant in the exponent. We obtain this result by introducing a technique inspired by pseudo-calibration which may be of independent interest. The technique involves defining a measure on monomials that precisely captures the contribution of a monomial to a refutation. This measure intuitively captures progress and should have further applications in proof complexity.

Keywords

Cite

@article{arxiv.2404.16722,
  title  = {Clique Is Hard on Average for Sherali-Adams with Bounded Coefficients},
  author = {Susanna F. de Rezende and Aaron Potechin and Kilian Risse},
  journal= {arXiv preprint arXiv:2404.16722},
  year   = {2024}
}

Comments

This is the full-length version of a paper with the title "Clique Is Hard on Average for Unary Sherali-Adams" that appeared in the Proceedings of the 64th Annual IEEE Symposium on Foundations of Computer Science (FOCS 2023)