Non-Redundancy of Low-Arity Symmetric Boolean CSPs
Amatya Sharma, Santhoshini Velusamy

TL;DR
This paper classifies the asymptotic growth of non-redundancy in symmetric Boolean CSPs with arity up to 5, introducing new algebraic and combinatorial tools for bounds.
Contribution
It provides a near-complete classification of non-redundancy growth for symmetric Boolean CSPs of arity at most 5, including new concepts like t-balancedness.
Findings
Resolved all predicates of arity 4 and most of arity 5 regarding non-redundancy growth.
Introduced t-balancedness, linking algebraic properties to non-redundancy bounds.
Connected lower bounds to extremal set-system questions for unresolved predicates.
Abstract
Non-redundancy, introduced by Bessiere, Carbonnel, and Katsirelos (AAAI 2020), is a structural parameter for Constraint Satisfaction Problems () that governs kernelization, exact and approximate sparsification, and exact streaming complexity. It is the largest size of a instance admitting no smaller subinstance with the same satisfying assignments. We study non-redundancy for Boolean symmetric defined by an -ary relation whose value depends only on Hamming weight. An instance of has variables and constraints given by -tuples; a constraint is satisfied exactly when the induced tuple lies in . This class includes natural predicates such as cuts and -SAT clauses. Our main result is a near-complete classification of the asymptotic growth of for symmetric Boolean…
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