Clique Is Hard on Average for Sherali-Adams with Bounded Coefficients
Abstract
We prove that Sherali-Adams with polynomially bounded coefficients requires proofs of size to rule out the existence of an -clique in Erd\H{o}s-R\'{e}nyi random graphs whose maximum clique is of size . 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.
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)