Libor Barto ; Zarathustra Brady ; Andrei Bulatov ; Marcin Kozik ; Dmitriy Zhuk - Unifying the Three Algebraic Approaches to the CSP via Minimal Taylor Algebras

theoretics:11361 - TheoretiCS, May 15, 2024, Volume 3 - https://doi.org/10.46298/theoretics.24.14
Unifying the Three Algebraic Approaches to the CSP via Minimal Taylor AlgebrasArticle

Authors: Libor Barto ORCID; Zarathustra Brady ; Andrei Bulatov ORCID; Marcin Kozik ORCID; Dmitriy Zhuk ORCID

    This paper focuses on the algebraic theory underlying the study of the complexity and the algorithms for the Constraint Satisfaction Problem (CSP). We unify, simplify, and extend parts of the three approaches that have been developed to study the CSP over finite templates -- absorption theory that was used to characterize CSPs solvable by local consistency methods (JACM'14), and Bulatov's and Zhuk's theories that were used for two independent proofs of the CSP Dichotomy Theorem (FOCS'17, JACM'20). As the first contribution we present an elementary theorem about primitive positive definability and use it to obtain the starting points of Bulatov's and Zhuk's proofs as corollaries. As the second contribution we propose and initiate a systematic study of minimal Taylor algebras. This class of algebras is broad enough that it suffices to verify the CSP Dichotomy Theorem on this class only, but still is unusually well behaved. In particular, many concepts from the three approaches coincide in this class, which is in striking contrast with the general setting. We believe that the theory initiated in this paper will eventually result in a simple and more natural proof of the Dichotomy Theorem that employs a simpler and more efficient algorithm, and will help in attacking complexity questions in other CSP-related problems.


    Volume: Volume 3
    Published on: May 15, 2024
    Accepted on: March 25, 2024
    Submitted on: May 23, 2023
    Keywords: Computer Science - Computational Complexity,Computer Science - Logic in Computer Science
    Funding:
      Source : OpenAIRE Graph
    • PostDoctoral Research Fellowship; Funder: National Science Foundation; Code: 1705177
    • Symmetry in Computational Complexity; Funder: European Commission; Code: 771005
    • Funder: Natural Sciences and Engineering Research Council of Canada

    Classifications

    Mathematics Subject Classification 20201

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