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Strong ETH Holds for Bounded-Depth Resolution over Parities

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

Abstract

Strong lower bounds of the form 2(1-ϵ)n, where n is the number of variables and ϵ>0 is arbitrarily small (i.e., bounds consistent with the Strong ETH), are exceptionally rare in proof complexity. The seminal work of Beck and Impagliazzo (STOC 2013) achieved such a bound for regular resolution, and the strongest extension known prior to our work was proved for O(ϵ)-regular resolution by Bonacina and Talebanfard (Algorithmica, 2017). We establish similar lower bounds for a significantly stronger proof system - a fragment of resolution over parities (Res(⊕)). This fragment captures Depth-n Res(⊕), and thus our result implies SETH-type lower bounds for both tree-like and regular Res(⊕). The core of our approach is a lossless lifting achieved by assigning distinct, randomly chosen gadgets to each variable. Our result also yields a SETH-type lower bound for Depth-n resolution - a result that was previously unknown. We additionally provide a direct and simplified proof for this special case, which may be of independent interest.

Original languageEnglish
Title of host publicationSTOC 2026 - Proceedings of the 58th Annual ACM Symposium on Theory of Computing
EditorsAditya Bhaskara, Artur Czumaj
PublisherAssociation for Computing Machinery
Pages898-909
Number of pages12
ISBN (Electronic)9798400725364
DOIs
StatePublished - 9 Jun 2026
Event58th Annual ACM Symposium on Theory of Computing, STOC 2026 - Salt Lake City, United States
Duration: 22 Jun 2026 → 26 Jun 2026

Publication series

NameProceedings of the Annual ACM Symposium on Theory of Computing
ISSN (Print)0737-8017

Conference

Conference58th Annual ACM Symposium on Theory of Computing, STOC 2026
Country/TerritoryUnited States
CitySalt Lake City
Period22/06/26 → 26/06/26

Keywords

  • Resolution over parities
  • SETH lower bound
  • depth
  • lifting
  • lower bounds
  • proof complexity
  • resolution width

ASJC Scopus subject areas

  • Software

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