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A Strongly Exponential Separation of DNNFs from CNF Formulas
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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).
Forward citations
Cited by 4 Pith papers
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Proof Systems Based on Structured Circuits
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.
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Compilation and Fast Model Counting beyond CNF
Conjunctions of constant-width OBDD-representable constraints can be compiled into d-DNNF circuits in fixed-parameter tractable time when parameterized by incidence treewidth.
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A Distributed Framework for Compiling and Reasoning with d-DNNF
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.
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Decision DNNFs with imbalanced conjunction cannot efficiently represent CNFs of bounded width
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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