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

Fuente: arXiv
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Autori principali: de Rezende, Susanna F., Potechin, Aaron, Risse, Kilian
Natura: Preprint
Pubblicazione: 2024
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_version_ 1866910423345790976
author de Rezende, Susanna F.
Potechin, Aaron
Risse, Kilian
author_facet de Rezende, Susanna F.
Potechin, Aaron
Risse, Kilian
contents We prove that Sherali-Adams with polynomially bounded coefficients requires proofs of size $n^{Ω(d)}$ to rule out the existence of an $n^{Θ(1)}$-clique in Erdős-Rényi random graphs whose maximum clique is of size $d\leq 2\log n$. 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.
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id arxiv_https___arxiv_org_abs_2404_16722
institution arXiv
publishDate 2024
record_format arxiv
spellingShingle Clique Is Hard on Average for Sherali-Adams with Bounded Coefficients
de Rezende, Susanna F.
Potechin, Aaron
Risse, Kilian
Computational Complexity
F.2.2; F.1.3; I.2.3; F.4.1
We prove that Sherali-Adams with polynomially bounded coefficients requires proofs of size $n^{Ω(d)}$ to rule out the existence of an $n^{Θ(1)}$-clique in Erdős-Rényi random graphs whose maximum clique is of size $d\leq 2\log n$. 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.
title Clique Is Hard on Average for Sherali-Adams with Bounded Coefficients
topic Computational Complexity
F.2.2; F.1.3; I.2.3; F.4.1
url https://arxiv.org/abs/2404.16722