Quantifier elimination via functional composition

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Abstract

This paper poses the following basic question: Given a quantified Boolean formula ∃ xθ. θ, what should a function/formula f be such that substituting f for x in θ yields a logically equivalent quantifier-free formula? Its answer leads to a solution to quantifier elimination in the Boolean domain, alternative to the conventional approach based on formula expansion. Such a composite function can be effectively derived using symbolic techniques and further simplified for practical applications. In particular, we explore Craig interpolation for scalable computation. This compositional approach to quantifier elimination is analyzably superior to the conventional one under certain practical assumptions. Experiments demonstrate the scalability of the approach. Several large problem instances unsolvable before can now be resolved effectively. A generalization to first-order logic characterizes a composite function's complete flexibility, which awaits further exploitation to simplify quantifier elimination beyond the propositional case. © 2009 Springer Berlin Heidelberg.

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Jiang, J. H. R. (2009). Quantifier elimination via functional composition. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 5643 LNCS, pp. 383–397). https://doi.org/10.1007/978-3-642-02658-4_30

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