CCDSMay 30

Search-space Reduction for Boolean MinCSPs via Essential Constraints

arXiv:2606.0077051.5h-index: 3
Predicted impact top 31% in CC · last 90 daysOriginality Incremental advance
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For researchers in constraint satisfaction and parameterized complexity, this provides a dichotomy that identifies tractable cases for preprocessing, enabling asymptotic runtime improvements for FPT algorithms.

The paper characterizes which Boolean constraint sets allow efficient detection of essential constraints in MinCSP instances, showing that for bijunctive constraints, constant-essential constraints can be detected in polynomial time, despite the intractability of constant-factor approximation under the Unique Games Conjecture.

For a fixed set $\mathcal{F}$ of Boolean constraint types, a MinCSP$(\mathcal{F})$-instance consists of a formula $F$ that applies $m$ constraints from $\mathcal{F}$ to a set of $n$ Boolean variables. The goal is to remove a minimum subset of constraint applications from $F$ to make the remaining formula satisfiable. Previous work characterized how the choice of $\mathcal{F}$ affects its polynomial-time solvability and approximability. We extend a recently introduced preprocessing framework for graph problems to the problem above. Rephrased in the context of CSPs, this framework defines a constraint application from a given formula $F$ as $c$-essential if it is contained in all $c$-approximate solutions to $F$. Being able to efficiently detect these essential parts of a solution reduces the search space of any follow-up FPT algorithms parameterized by the solution size and yields an immediate asymptotic improvement to the runtime of such algorithms. In this work, we present a dichotomy theorem that distinguishes constraint sets $\mathcal{F}$ for which $c_\mathcal{F}$-essential constraint applications can be detected efficiently for some $c_{\mathcal{F}} \in \mathcal{O}(1)$, from those for which this task is intractable under established complexity-theoretic conjectures. Our results show that for any set $\mathcal{F}$ of bijunctive constraints, there is a polynomial-time algorithm that detects $\mathcal{O}(1)$-essential constraint applications. This contrasts the fact that constant-factor approximating a bijunctive MinCSP$(\mathcal{F})$-problem is intractable under the Unique Games Conjecture.

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