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Clausal Deletion Backdoors for QBF: a Parameterized Complexity Approach

arXiv:2605.1207314.6
Predicted impact top 71% in CC · last 90 daysOriginality Incremental advance
AI Analysis

For researchers in parameterized complexity and QBF solving, it provides the first FPT results for QBF with backdoors beyond bounded quantifier alternations.

The paper introduces a new parameter for QBF—the size of a clause covering backdoor—and shows fixed-parameter tractability for 2-CNF and linear equations base classes, while proving W[1]-hardness for Horn, establishing a near-complete dichotomy.

Determining the validity of a quantified Boolean formula (QBF) is a PSPACE-complete problem with rich expressive power. Despite interest in efficient solvers, there is, compared to problems in NP, a lack of positive theoretical results, and in the parameterized complexity setting one often has to restrict the quantifier prefix (e.g., bounding alternations) to obtain fixed parameter tractability (FPT). We propose a new parameter: the number of variables in clauses that has to be removed before reaching a tractable class (a clause covering (CC) backdoor). We are then interested in solving QBF in FPT time given a CC-backdoor of size $k$. We consider the three classical, tractable cases of QBF as base classes: Horn, 2-CNF, and linear equations. We establish W[1]-hardness for Horn but prove FPT for the others, and prove that in a precise, algebraic sense, we are only missing one important case for a full dichotomy. Our algorithms are non-trivial and depend on propagation, and Gaussian elimination, respectively, and are comparably unexplored for QBF.

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