Cohomology in Constraint Satisfaction and Structure Isomorphism
Adam \'O Conghaile

TL;DR
This paper introduces a sheaf-theoretic and cohomological framework for analyzing constraint satisfaction and structure isomorphism problems, extending existing algorithms and enabling new efficient solutions.
Contribution
It develops a novel sheaf-theoretic approach and applies cohomology to improve algorithms for CSP and SI, surpassing traditional limitations.
Findings
Cohomological algorithms can solve systems over all finite rings.
Cohomological Weisfeiler-Leman distinguishes structures beyond classical methods.
New obstructions identified via cohomology improve understanding of problem complexity.
Abstract
Constraint satisfaction (CSP) and structure isomorphism (SI) are among the most well-studied computational problems in Computer Science. While neither problem is thought to be in much work is done on approximations to both problems. Two such historically important approximations are the -consistency algorithm for CSP and the -Weisfeiler-Leman algorithm for SI, both of which are based on propagating local partial solutions. The limitations of these algorithms are well-known; -consistency can solve precisely those CSPs of bounded width and -Weisfeiler-Leman can only distinguish structures which differ on properties definable in . In this paper, we introduce a novel sheaf-theoretic approach to CSP and SI and their approximations. We show that both problems can be viewed as deciding the existence of global sections of presheaves,…
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