MaxSAT Resolution and Subcube Sums

Yuval Filmus, Meena Mahajan, Gaurav Sood, Marc Vinyals

Research output: Contribution to journalArticlepeer-review

2 Scopus citations

Abstract

We study the MaxSAT Resolution (MaxRes) rule in the context of certifying unsatisfiability. We show that it can be exponentially more powerful than tree-like resolution, and when augmented with weakening (the system MaxResW), p-simulates tree-like resolution. In devising a lower bound technique specific to MaxRes (and not merely inheriting lower bounds from Res), we define a new proof system called the SubCubeSums proof system. This system, which p-simulates MaxResW, can be viewed as a special case of the semi-algebraic Sherali-Adams proof system. In expressivity, it is the integral restriction of conical juntas studied in the contexts of communication complexity and extension complexity. We show that it is not simulated by Res. Using a proof technique qualitatively different from the lower bounds that MaxResW inherits from Res, we show that Tseitin contradictions on expander graphs are hard to refute in SubCubeSums. We also establish a lower bound technique via lifting: for formulas requiring large degree in SubCubeSums, their XOR-ification requires large size in SubCubeSums.

Original languageEnglish
Article number3565363
JournalACM Transactions on Computational Logic
Volume24
Issue number1
DOIs
StatePublished - 18 Jan 2023

Keywords

  • MaxSAT
  • Sherali-Adams
  • conical juntas
  • proof complexity
  • resolution

ASJC Scopus subject areas

  • Theoretical Computer Science
  • General Computer Science
  • Logic
  • Computational Mathematics

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