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Clique Is Hard on Average for Unary Sherali-Adams

De Rezende, Susanna F. (author)
Lund University,Lunds universitet,Parallella System,Institutionen för datavetenskap,Institutioner vid LTH,Lunds Tekniska Högskola,Parallel Systems,Department of Computer Science,Departments at LTH,Faculty of Engineering, LTH
Potechin, Aaron (author)
University of Chicago
Risse, Kilian (author)
Swiss Federal Institute of Technology
 (creator_code:org_t)
2023
2023
English 14 s.
In: Proceedings - 2023 IEEE 64th Annual Symposium on Foundations of Computer Science, FOCS 2023. - 0272-5428. - 9798350318944 ; , s. 12-25
  • Conference paper (peer-reviewed)
Abstract Subject headings
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  • We prove that unary Sherali-Adams requires proofs of size nΩ(d) to rule out the existence of an nΘ(1)-clique in Erdős-Rényi random graphs whose maximum clique is of size d ≤ 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.

Subject headings

NATURVETENSKAP  -- Matematik -- Diskret matematik (hsv//swe)
NATURAL SCIENCES  -- Mathematics -- Discrete Mathematics (hsv//eng)

Keyword

Clique
Proof Complexity
Unary Sherali Adams

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kon (subject category)
ref (subject category)

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