对于具有有界系数的谢拉利-亚当斯算法来说,克利克平均是困难的

Susanna F. de Rezende, Aaron Potechin, Kilian Risse
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引用次数: 0

摘要

我们证明,具有多项式有界系数的 Sherali-Adams需要大小为 $n^{\Omega(d)}$ 的证明来排除 Erd\H{o}s-R\'{e}nyi 随机图中存在一个$n^\{Theta(1)}$clique,其最大clique的大小为 $d\leq 2\log n$。这个下界在指数的乘法常数以内都很紧。我们通过引入一种受伪校准启发的技术来获得这一结果,这种技术可能会引起人们的兴趣。该技术涉及定义一种关于单项式的度量,以精确捕捉单项式对反驳的贡献。这个度量直观地捕捉了进展,应该在证明复杂性方面有进一步的应用。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Clique Is Hard on Average for Sherali-Adams with Bounded Coefficients
We prove that Sherali-Adams with polynomially bounded coefficients requires proofs of size $n^{\Omega(d)}$ to rule out the existence of an $n^{\Theta(1)}$-clique in Erd\H{o}s-R\'{e}nyi 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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