Hardness Characterisations and Size-width Lower Bounds for QBF Resolution

IF 0.7 4区 数学 Q3 COMPUTER SCIENCE, THEORY & METHODS ACM Transactions on Computational Logic Pub Date : 2022-09-28 DOI:10.1145/3565286
Olaf Beyersdorff, Joshua Blinkhorn, M. Mahajan, Tomás Peitl
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Abstract

We provide a tight characterisation of proof size in resolution for quantified Boolean formulas (QBF) via circuit complexity. Such a characterisation was previously obtained for a hierarchy of QBF Frege systems [16], but leaving open the most important case of QBF resolution. Different from the Frege case, our characterisation uses a new version of decision lists as its circuit model, which is stronger than the CNFs the system works with. Our decision list model is well suited to compute countermodels for QBFs. Our characterisation works for both Q-Resolution and QU-Resolution. Using our characterisation, we obtain a size-width relation for QBF resolution in the spirit of the celebrated result for propositional resolution [4]. However, our result is not just a replication of the propositional relation—intriguingly ruled out for QBF in previous research [12]—but shows a different dependence between size, width, and quantifier complexity. An essential ingredient is an improved relation between the size and width of term decision lists; this may be of independent interest. We demonstrate that our new technique elegantly reproves known QBF hardness results and unifies previous lower-bound techniques in the QBF domain.
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硬度特性和QBF分辨率的尺寸宽度下限
我们通过电路复杂性为量化布尔公式(QBF)的分辨率提供了证明大小的严格表征。这种表征以前是为QBF Frege系统的层次结构[16]获得的,但保留了QBF分辨率的最重要情况。与Frege案例不同,我们的描述使用了新版本的决策列表作为其电路模型,该模型比系统使用的CNF更强。我们的决策列表模型非常适合计算QBF的反模型。我们的特征描述适用于Q-Resolution和QU Resolution。使用我们的表征,我们根据命题分辨率的著名结果[4]的精神,获得了QBF分辨率的大小-宽度关系。然而,我们的结果不仅是命题关系的复制——有趣的是,在之前的研究[12]中,QBF被排除在外——而且显示了大小、宽度和量词复杂性之间的不同依赖性。一个重要因素是改进了任期决定清单的大小和宽度之间的关系;这可能具有独立的利益。我们证明,我们的新技术完美地再现了已知的QBF硬度结果,并统一了QBF领域中以前的下界技术。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
ACM Transactions on Computational Logic
ACM Transactions on Computational Logic 工程技术-计算机:理论方法
CiteScore
2.30
自引率
0.00%
发文量
37
审稿时长
>12 weeks
期刊介绍: TOCL welcomes submissions related to all aspects of logic as it pertains to topics in computer science. This area has a great tradition in computer science. Several researchers who earned the ACM Turing award have also contributed to this field, namely Edgar Codd (relational database systems), Stephen Cook (complexity of logical theories), Edsger W. Dijkstra, Robert W. Floyd, Tony Hoare, Amir Pnueli, Dana Scott, Edmond M. Clarke, Allen E. Emerson, and Joseph Sifakis (program logics, program derivation and verification, programming languages semantics), Robin Milner (interactive theorem proving, concurrency calculi, and functional programming), and John McCarthy (functional programming and logics in AI). Logic continues to play an important role in computer science and has permeated several of its areas, including artificial intelligence, computational complexity, database systems, and programming languages. The Editorial Board of this journal seeks and hopes to attract high-quality submissions in all the above-mentioned areas of computational logic so that TOCL becomes the standard reference in the field. Both theoretical and applied papers are sought. Submissions showing novel use of logic in computer science are especially welcome.
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