Copy complexity of Horn formulas with respect to unit read-once resolution

IF 1 4区 计算机科学 Q3 COMPUTER SCIENCE, THEORY & METHODS Theoretical Computer Science Pub Date : 2021-10-12 Epub Date: 2021-09-06 DOI:10.1016/j.tcs.2021.08.017
Piotr Wojciechowski, K. Subramani
{"title":"Copy complexity of Horn formulas with respect to unit read-once resolution","authors":"Piotr Wojciechowski,&nbsp;K. Subramani","doi":"10.1016/j.tcs.2021.08.017","DOIUrl":null,"url":null,"abstract":"<div><p>In this paper, we discuss the copy complexity of Horn formulas with respect to unit resolution. A Horn formula is a boolean formula in conjunctive normal form (CNF) with at most one positive literal per clause. Horn formulas find applications in a number of domains, such as program verification (abstract interpretation) and logic programming (answer set programming). Quantified Horn clauses are used extensively in temporal verification of universal properties. Resolution is one of the oldest proof systems (refutation systems) for the boolean satisfiability problem (SAT), when the input is presented in conjunctive normal form (CNF). It is both sound and complete, although inefficient, when compared to other stronger proof systems for boolean formulas. Despite its inefficiency, the simple nature of resolution makes it an integral part of several theorem provers. <em>Unit resolution</em><span> is a restricted form of resolution in which each resolution step needs to use a clause with only one literal (unit literal clause). While not complete for general CNF formulas, unit resolution is complete for Horn formulas. </span><em>Read-once resolution</em> is a form of resolution in which each clause (input or derived) may be used in at most one resolution step. As with unit resolution, read-once resolution is incomplete in general and complete for Horn clauses. This paper focuses on a combination of unit resolution and read-once resolution called <em>unit read-once resolution</em>. Unit read-once resolution is <strong>incomplete</strong> for Horn clauses. In this paper, we study the <em>copy complexity</em> problem in Horn formulas with respect to unit read-once resolution. Briefly, the copy complexity of a formula with respect to unit read-once resolution, is the smallest number <em>k</em>, such that replicating each clause <em>k</em> times guarantees the existence of a unit read-once resolution refutation (UROR). This paper focuses on two problems related to the copy complexity of Horn formulas with respect to unit read-once resolution. We first relate the copy complexity of Horn formulas with respect to unit read-once resolution to the copy complexity of the corresponding Horn constraint system with respect to the <em>addition rule</em>. We also examine a form of copy complexity in which we permit replication of derived clauses, in addition to the input clauses. Finally, we provide a polynomial time algorithm for the problem of checking if a 2-CNF formula has a UROR.</p></div>","PeriodicalId":49438,"journal":{"name":"Theoretical Computer Science","volume":"890 ","pages":"Pages 70-86"},"PeriodicalIF":1.0000,"publicationDate":"2021-10-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1016/j.tcs.2021.08.017","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Theoretical Computer Science","FirstCategoryId":"94","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0304397521004758","RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2021/9/6 0:00:00","PubModel":"Epub","JCR":"Q3","JCRName":"COMPUTER SCIENCE, THEORY & METHODS","Score":null,"Total":0}
引用次数: 1

Abstract

In this paper, we discuss the copy complexity of Horn formulas with respect to unit resolution. A Horn formula is a boolean formula in conjunctive normal form (CNF) with at most one positive literal per clause. Horn formulas find applications in a number of domains, such as program verification (abstract interpretation) and logic programming (answer set programming). Quantified Horn clauses are used extensively in temporal verification of universal properties. Resolution is one of the oldest proof systems (refutation systems) for the boolean satisfiability problem (SAT), when the input is presented in conjunctive normal form (CNF). It is both sound and complete, although inefficient, when compared to other stronger proof systems for boolean formulas. Despite its inefficiency, the simple nature of resolution makes it an integral part of several theorem provers. Unit resolution is a restricted form of resolution in which each resolution step needs to use a clause with only one literal (unit literal clause). While not complete for general CNF formulas, unit resolution is complete for Horn formulas. Read-once resolution is a form of resolution in which each clause (input or derived) may be used in at most one resolution step. As with unit resolution, read-once resolution is incomplete in general and complete for Horn clauses. This paper focuses on a combination of unit resolution and read-once resolution called unit read-once resolution. Unit read-once resolution is incomplete for Horn clauses. In this paper, we study the copy complexity problem in Horn formulas with respect to unit read-once resolution. Briefly, the copy complexity of a formula with respect to unit read-once resolution, is the smallest number k, such that replicating each clause k times guarantees the existence of a unit read-once resolution refutation (UROR). This paper focuses on two problems related to the copy complexity of Horn formulas with respect to unit read-once resolution. We first relate the copy complexity of Horn formulas with respect to unit read-once resolution to the copy complexity of the corresponding Horn constraint system with respect to the addition rule. We also examine a form of copy complexity in which we permit replication of derived clauses, in addition to the input clauses. Finally, we provide a polynomial time algorithm for the problem of checking if a 2-CNF formula has a UROR.

查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
Horn公式在单位一次读取分辨率方面的复制复杂性
本文讨论了Horn公式在单位分辨率下的复制复杂度。Horn公式是合取范式(CNF)的布尔公式,每个子句最多有一个正文字。霍恩公式在许多领域都有应用,比如程序验证(抽象解释)和逻辑编程(答案集编程)。量化角子句广泛应用于普遍性质的时间验证。当输入以合取范式(CNF)表示时,分辨率是布尔可满足性问题(SAT)最古老的证明系统(反驳系统)之一。与其他更强大的布尔公式证明系统相比,它是健全和完整的,尽管效率低下。尽管它效率低下,但解析的简单性质使它成为几个定理证明中不可或缺的一部分。单元解析是一种受限制的解析形式,其中每个解析步骤只需要使用一个字面值的子句(单位字面值子句)。虽然对于一般CNF公式不完整,但对于Horn公式,单位分辨率是完整的。一次读取解析是一种解析形式,其中每个子句(输入或派生)最多只能在一个解析步骤中使用。与单元解析一样,只读一次解析通常是不完整的,而对于Horn子句则是完整的。本文的重点是单元分辨率和一次读取分辨率的结合,称为单元一次读取分辨率。对于Horn子句,单元一次读取解析是不完整的。本文研究了Horn公式在单位一次读取分辨率下的复制复杂性问题。简单地说,公式的复制复杂度相对于单位一次读取的分辨率是最小的k,这样每个子句复制k次就可以保证存在单位一次读取的分辨率驳斥(urror)。本文重点研究了Horn公式在单位一次读取分辨率方面的复制复杂性问题。我们首先将Horn公式的单位读一次解析的复制复杂性与相应的Horn约束系统的加法规则的复制复杂性联系起来。我们还研究了复制复杂性的一种形式,在这种形式中,除了输入子句之外,还允许复制派生子句。最后,我们提供了一个多项式时间算法来检验2-CNF公式是否具有urror。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 去求助
来源期刊
Theoretical Computer Science
Theoretical Computer Science 工程技术-计算机:理论方法
CiteScore
2.60
自引率
18.20%
发文量
471
审稿时长
12.6 months
期刊介绍: Theoretical Computer Science is mathematical and abstract in spirit, but it derives its motivation from practical and everyday computation. Its aim is to understand the nature of computation and, as a consequence of this understanding, provide more efficient methodologies. All papers introducing or studying mathematical, logic and formal concepts and methods are welcome, provided that their motivation is clearly drawn from the field of computing.
期刊最新文献
N-factor complexity of the Fibonacci sequence on N and the factor-counting sequences Dynamic algorithms for maximizing a DR-submodular function subtracted by a linear function over the integer lattice Some regular ω-powers in the Hausdorff-Kuratowski hierarchy There is no prime functional digraph: Seifert’s proof revisited Asynchronous dynamics of isomorphic Boolean networks
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:604180095
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1