The Richness of CSP Non-redundancy
Joshua Brakensiek, Venkatesan Guruswami, Bart M. P. Jansen, Victor Lagerkvist, Magnus Wahlstr\"om

TL;DR
This paper investigates the concept of non-redundancy in constraint satisfaction problems (CSP), establishing new bounds, classifying binary predicates, and developing an algebraic theory to understand the structure and implications of non-redundancy.
Contribution
It proves that non-redundancy can grow as fast as any rational power of the number of variables, classifies binary predicate non-redundancy, and develops an algebraic framework linking non-redundancy to group structures.
Findings
Existence of predicates with non-redundancy $ heta(n^r)$ for any rational $r \\ge 1$
Complete classification of conditional non-redundancy for binary predicates
First example linking non-redundancy to quantum Pauli group structures
Abstract
In the field of constraint satisfaction problems (CSP), a clause is called redundant if its satisfaction is implied by satisfying all other clauses. An instance of CSP is called non-redundant if it does not contain any redundant clause. The non-redundancy (NRD) of a predicate is the maximum number of clauses in a non-redundant instance of CSP, as a function of the number of variables . Recent progress has shown that non-redundancy is crucially linked to many other important questions in computer science and mathematics including sparsification, kernelization, query complexity, universal algebra, and extremal combinatorics. Given that non-redundancy is a nexus for many of these important problems, the central goal of this paper is to more deeply understand non-redundancy. Our first main result shows that for every rational number , there exists a finite CSP…
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Taxonomy
TopicsAdvanced Graph Theory Research · Constraint Satisfaction and Optimization · Complexity and Algorithms in Graphs
