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A Strongly Exponential Separation of DNNFs from CNF Formulas

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arxiv 1411.1995 v3 pith:MD342BVC submitted 2014-11-07 cs.CC

classification cs.CC
keywords dnnfsexponentialformulasstronglyformnegationnormalseparation
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Decomposable Negation Normal Forms (DNNFs) are Boolean circuits in negation normal form where the subcircuits leading into each AND gate are defined on disjoint sets of variables. We prove a strongly exponential lower bound on the size of DNNFs for a class of CNF formulas built from expander graphs. As a corollary, we obtain a strongly exponential separation between DNNFs and CNF formulas in prime implicates form. This settles an open problem in the area of knowledge compilation (Darwiche and Marquis, 2002).

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Cited by 4 Pith papers

Reviewed papers in the Pith corpus that reference this work. Sorted by Pith novelty score. Full citation record

  1. Proof Systems Based on Structured Circuits

    cs.CC 2026-05 unverdicted novelty 7.0 of 10

    SDDs and d-SDNNFs yield strictly smaller refutations than OBDDs for unsatisfiable CNFs, with separations under different derivation rules and a sat-to-unsat lifting theorem.

  2. Compilation and Fast Model Counting beyond CNF

    cs.CC 2025-02 conditional novelty 7.0 of 10

    Conjunctions of constant-width OBDD-representable constraints can be compiled into d-DNNF circuits in fixed-parameter tractable time when parameterized by incidence treewidth.

  3. A Distributed Framework for Compiling and Reasoning with d-DNNF

    cs.DC 2026-07 conditional novelty 6.0 of 10

    A Cube-and-Conquer framework compiles CNF formulas into a virtual d-DNNF distributed across workers, enabling counting, direct access, and uniform sampling under conditioning.

  4. Decision DNNFs with imbalanced conjunction cannot efficiently represent CNFs of bounded width

    cs.CC 2025-05 conditional novelty 6.0 of 10

    For CNFs that encode a ternary tree crossed with a path, Decision DNNFs whose conjunction gates split variables imbalancedly require size at least n^{Ω((1−α)√k)}, ruling out FPT-sized representations.

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