• Ярослав Алексеев

A major proof complexity problem is to prove a superpolynomial lower bound on the length of Frege proofs of arbitrary depth. A more general question is to prove an Extended Frege lower bound. Surprisingly, proving such bounds turns out to be much easier in the algebraic setting. In this paper, we study a proof system that can simulate Extended Frege: an extension of the Polynomial Calculus proof system where we can take a square root and introduce new variables that are equivalent to arbitrary depth algebraic circuits. We prove that an instance of the subset-sum principle, the binary value principle 1 + x1 + 2x2 +... + 2 n1xn = 0 (BVPn), requires refutations of exponential bit size over Q in this system. Part and Tzameret [18] proved an exponential lower bound on the size of Res-Lin (Resolution over linear equations [22]) refutations of BVPn. We show that our system p-simulates Res-Lin and thus we get an alternative exponential lower bound for the size of Res-Lin refutations of BVPn.

Original languageEnglish
Title of host publication36th Computational Complexity Conference (CCC 2021)
EditorsValentine Kabanets
Place of PublicationDagstuhl, Germany
PublisherSchloss Dagstuhl- Leibniz-Zentrum fur Informatik GmbH, Dagstuhl Publishing
Pages21:1-21:18
Number of pages18
Volume200
ISBN (Electronic)9783959771931
ISBN (Print)978-3-95977-193-1
DOIs
StatePublished - 1 Jul 2021
Event36th Computational Complexity Conference, CCC 2021 - Virtual, Toronto, Canada
Duration: 20 Jul 202123 Jul 2021

Publication series

NameLeibniz International Proceedings in Informatics, LIPIcs
Volume200
ISSN (Print)1868-8969

Conference

Conference36th Computational Complexity Conference, CCC 2021
Country/TerritoryCanada
CityVirtual, Toronto
Period20/07/2123/07/21

    Scopus subject areas

  • Software

    Research areas

  • proof complexity, algebraic proofs, polynomial calculus, Algebraic proofs, Proof complexity, Polynomial calculus

ID: 84894589