Separations in Proof Complexity and TFNP

IF 2.3 2区 计算机科学 Q2 COMPUTER SCIENCE, HARDWARE & ARCHITECTURE Journal of the ACM Pub Date : 2024-05-09 DOI:10.1145/3663758
Mika Göös, Alexandros Hollender, Siddhartha Jain, Gilbert Maystre, William Pires, Robert Robere, Ran Tao
{"title":"Separations in Proof Complexity and TFNP","authors":"Mika Göös, Alexandros Hollender, Siddhartha Jain, Gilbert Maystre, William Pires, Robert Robere, Ran Tao","doi":"10.1145/3663758","DOIUrl":null,"url":null,"abstract":"<p>It is well-known that Resolution proofs can be efficiently simulated by Sherali–Adams (SA) proofs. We show, however, that any such simulation needs to exploit huge coefficients: Resolution cannot be efficiently simulated by SA when the coefficients are written in unary. We also show that <i>Reversible Resolution</i> (a variant of MaxSAT Resolution) cannot be efficiently simulated by Nullstellensatz (NS). </p><p>These results have consequences for total \\({\\text{\\upshape \\sffamily NP}} \\) search problems. First, we characterise the classes \\({\\text{\\upshape \\sffamily PPADS}} \\), \\({\\text{\\upshape \\sffamily PPAD}} \\), \\({\\text{\\upshape \\sffamily SOPL}} \\) by unary-SA, unary-NS, and Reversible Resolution, respectively. Second, we show that, relative to an oracle, \\({\\text{\\upshape \\sffamily PLS}} \\not\\subseteq {\\text{\\upshape \\sffamily PPP}} \\), \\({\\text{\\upshape \\sffamily SOPL}} \\not\\subseteq {\\text{\\upshape \\sffamily PPA}} \\), and \\({\\text{\\upshape \\sffamily EOPL}} \\not\\subseteq {\\text{\\upshape \\sffamily UEOPL}} \\). In particular, together with prior work, this gives a complete picture of the black-box relationships between all classical \\({\\text{\\upshape \\sffamily TFNP}} \\) classes introduced in the 1990s.</p>","PeriodicalId":50022,"journal":{"name":"Journal of the ACM","volume":"20 1","pages":""},"PeriodicalIF":2.3000,"publicationDate":"2024-05-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of the ACM","FirstCategoryId":"94","ListUrlMain":"https://doi.org/10.1145/3663758","RegionNum":2,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"COMPUTER SCIENCE, HARDWARE & ARCHITECTURE","Score":null,"Total":0}
引用次数: 0

Abstract

It is well-known that Resolution proofs can be efficiently simulated by Sherali–Adams (SA) proofs. We show, however, that any such simulation needs to exploit huge coefficients: Resolution cannot be efficiently simulated by SA when the coefficients are written in unary. We also show that Reversible Resolution (a variant of MaxSAT Resolution) cannot be efficiently simulated by Nullstellensatz (NS).

These results have consequences for total \({\text{\upshape \sffamily NP}} \) search problems. First, we characterise the classes \({\text{\upshape \sffamily PPADS}} \), \({\text{\upshape \sffamily PPAD}} \), \({\text{\upshape \sffamily SOPL}} \) by unary-SA, unary-NS, and Reversible Resolution, respectively. Second, we show that, relative to an oracle, \({\text{\upshape \sffamily PLS}} \not\subseteq {\text{\upshape \sffamily PPP}} \), \({\text{\upshape \sffamily SOPL}} \not\subseteq {\text{\upshape \sffamily PPA}} \), and \({\text{\upshape \sffamily EOPL}} \not\subseteq {\text{\upshape \sffamily UEOPL}} \). In particular, together with prior work, this gives a complete picture of the black-box relationships between all classical \({\text{\upshape \sffamily TFNP}} \) classes introduced in the 1990s.

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
证明复杂性与 TFNP 的分离
众所周知,解析证明可以通过谢拉利-亚当斯(Sherali-Adams,SA)证明进行高效模拟。然而,我们发现,任何此类模拟都需要利用庞大的系数:当系数以一元形式书写时,SA 无法高效地模拟解析。我们还证明了可逆解析(MaxSAT解析的一种变体)无法通过空策略(Nullstellensatz,NS)进行有效模拟。这些结果对总搜索({text{\upshape \sffamily NP}} \)问题有影响。首先,我们通过unary-SA、unary-NS和可逆解析分别描述了\({\text{upshape \sffamily PPADS}} \)、\({text{upshape \sffamily PPAD}} \)、\({text{upshape \sffamily SOPL}} \)类。其次,我们证明,相对于甲骨文,({text ({text (upshape (sffamily PLS}}))\not\subseteq {\text{upshape\sffamily PPP}}.\),({text ({向上形狀 (sffamily SOPL}}\not\subseteq {\text{upshape \sffamily PPA} }\),和 ({text (上形) (sffamily EOPL}}\not(subseteq {\text{upshape \sffamily UEOPL}} )。\).特别是,结合之前的工作,这就完整地描述了 20 世纪 90 年代引入的所有经典类之间的黑箱关系。
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
Journal of the ACM
Journal of the ACM 工程技术-计算机:理论方法
CiteScore
7.50
自引率
0.00%
发文量
51
审稿时长
3 months
期刊介绍: The best indicator of the scope of the journal is provided by the areas covered by its Editorial Board. These areas change from time to time, as the field evolves. The following areas are currently covered by a member of the Editorial Board: Algorithms and Combinatorial Optimization; Algorithms and Data Structures; Algorithms, Combinatorial Optimization, and Games; Artificial Intelligence; Complexity Theory; Computational Biology; Computational Geometry; Computer Graphics and Computer Vision; Computer-Aided Verification; Cryptography and Security; Cyber-Physical, Embedded, and Real-Time Systems; Database Systems and Theory; Distributed Computing; Economics and Computation; Information Theory; Logic and Computation; Logic, Algorithms, and Complexity; Machine Learning and Computational Learning Theory; Networking; Parallel Computing and Architecture; Programming Languages; Quantum Computing; Randomized Algorithms and Probabilistic Analysis of Algorithms; Scientific Computing and High Performance Computing; Software Engineering; Web Algorithms and Data Mining
期刊最新文献
Query lower bounds for log-concave sampling Transaction Fee Mechanism Design Sparse Higher Order Čech Filtrations Killing a Vortex Separations in Proof Complexity and TFNP
×
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:481959085
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