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Functional Lower Bounds in Algebraic Proofs: Symmetry, Lifting, and Barriers

Research output: Conference Article in Proceeding or Book/Report chapterArticle in proceedingsResearchpeer-review

Abstract

Strong algebraic proof systems such as IPS (Ideal Proof System; Grochow-Pitassi ‍[J. ‍ACM, 65(6):37:1–55, 2018]) offer a general model for deriving polynomials in an ideal and refuting unsatisfiable propositional formulas, subsuming most standard propositional proof systems. A major approach for lower bounding the size of IPS refutations is the Functional Lower Bound Method (Forbes, Shpilka, Tzameret and Wigderson ‍[Theory ‍Comput., 17: 1-88, 2021]), which reduces the hardness of refuting a polynomial equation f(x)=0 with no Boolean solutions to the hardness of computing the function 1/f(x) over the Boolean cube with an algebraic circuit. Using symmetry we provide a general way to obtain many new hard instances against fragments of IPS via the functional lower bound method.
Original languageEnglish
Title of host publicationFunctional Lower Bounds in Algebraic Proofs: Symmetry, Lifting, and Barriers
Number of pages8
Place of PublicationNew York
PublisherAssociation for Computing Machinery
Publication date11 Jun 2024
Pages1396 - 1404
ISBN (Print)979-8-4007-0383-6
DOIs
Publication statusPublished - 11 Jun 2024
EventACM Symposium on Theory of Computing - Vancouver, Canada
Duration: 24 Jun 202428 Jun 2024
Conference number: 56

Conference

ConferenceACM Symposium on Theory of Computing
Number56
Country/TerritoryCanada
CityVancouver
Period24/06/202428/06/2024

Keywords

  • ideal proof system
  • proof complexity
  • functional lower bound method
  • algebraic circuits
  • boolean cube

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