Hard QBFs for Merge Resolution

Author:

Beyersdorff Olaf1,Blinkhorn Joshua1,Mahajan Meena2,Peitl Tomáš3,Sood Gaurav2

Affiliation:

1. Institut für Informatik, Friedrich-Schiller-Universität Jena, Germany

2. The Institute of Mathematical Sciences (CI of Homi Bhabha National Institute), India

3. Institute of Logic and Computation, TU Wien, Austria

Abstract

We prove the first genuine QBF proof size lower bounds for the proof system Merge Resolution (MRes [7]), a refutational proof system for prenex quantified Boolean formulas (QBF) with a CNF matrix. Unlike most QBF resolution systems in the literature, proofs in MRes consist of resolution steps together with information on countermodels, which are syntactically stored in the proofs as merge maps. As demonstrated in [7], this makes MRes quite powerful: it has strategy extraction by design and allows short proofs for formulas which are hard for classical QBF resolution systems. Here we show the first genuine QBF exponential lower bounds for MRes , thereby uncovering limitations of MRes. Technically, the results are either transferred from bounds from circuit complexity (for restricted versions of MRes) or directly obtained by combinatorial arguments (for full MRes). Our results imply that the MRes approach is largely orthogonal to other QBF resolution models such as the QCDCL resolution systems QRes and QURes and the expansion systems ∀Exp + Res and IR.

Publisher

Association for Computing Machinery (ACM)

Subject

Computational Theory and Mathematics,Theoretical Computer Science

Reference45 articles.

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2. Valeriy Balabanov , Magdalena Widl , and Jie-Hong  R. Jiang . 2014. QBF Resolution Systems and Their Proof Complexities . In Theory and Applications of Satisfiability Testing – SAT 2014 , Carsten Sinz and Uwe Egly (Eds.). Springer International Publishing , Cham, 154–169. Valeriy Balabanov, Magdalena Widl, and Jie-Hong R. Jiang. 2014. QBF Resolution Systems and Their Proof Complexities. In Theory and Applications of Satisfiability Testing – SAT 2014, Carsten Sinz and Uwe Egly (Eds.). Springer International Publishing, Cham, 154–169.

3. Olaf Beyersdorff . 2022. Proof Complexity of Quantified Boolean Logic – a Survey . In Mathematics for Computation (M4C), Marco Benini, Olaf Beyersdorff, Michael Rathjen, and Peter Schuster (Eds.). World Scientific , Singapore , 353–391. Olaf Beyersdorff. 2022. Proof Complexity of Quantified Boolean Logic – a Survey. In Mathematics for Computation (M4C), Marco Benini, Olaf Beyersdorff, Michael Rathjen, and Peter Schuster (Eds.). World Scientific, Singapore, 353–391.

4. Formulas with Large Weight: a New Technique for Genuine QBF Lower Bounds;Beyersdorff Olaf;Electron. Colloquium Comput. Complex.,2017

5. Lower Bound Techniques for QBF Expansion

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