An Exponential Lower Bound for Linear 3-Query Locally Correctable Codes

Pravesh K. Kothari, Peter Manohar

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

We prove that the blocklength n of a linear 3-query locally correctable code (LCC) L : Fk → Fn with distance δmust be at least n ≥ 2ω((δ2 k/(|F|-1)2)1/8). In particular, the blocklength of a linear 3-query LCC with constant distance over any small field grows exponentially with k. This improves on the best prior lower bound of n ≥ ω(k3), which holds even for the weaker setting of 3-query locally decodable codes (LDCs), and comes close to matching the best-known construction of 3-query LCCs based on binary Reed-Muller codes, which achieve n ≤ 2O(k1/2). Because there is a 3-query LDC with a strictly subexponential blocklength, as a corollary we obtain the first strong separation between q-query LCCs and LDCs for any constant q ≥ 3. Our proof is based on a new upgrade of the method of spectral refutations via Kikuchi matrices developed in recent works that reduces establishing (non-)existence of combinatorial objects to proving unsatisfiability of associated XOR instances. Our key conceptual idea is to apply this method with XOR instances obtained via long-chain derivations - a structured variant of low-width resolution for XOR formulas from proof complexity.

Original languageEnglish (US)
Title of host publicationSTOC 2024 - Proceedings of the 56th Annual ACM Symposium on Theory of Computing
EditorsBojan Mohar, Igor Shinkar, Ryan O�Donnell
PublisherAssociation for Computing Machinery
Pages776-787
Number of pages12
ISBN (Electronic)9798400703836
DOIs
StatePublished - Jun 10 2024
Event56th Annual ACM Symposium on Theory of Computing, STOC 2024 - Vancouver, Canada
Duration: Jun 24 2024Jun 28 2024

Publication series

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

Conference

Conference56th Annual ACM Symposium on Theory of Computing, STOC 2024
Country/TerritoryCanada
CityVancouver
Period6/24/246/28/24

All Science Journal Classification (ASJC) codes

  • Software

Keywords

  • Kikuchi Matrices
  • Locally Correctable Codes
  • Locally Decodable Codes

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