Semialgebraic Proofs, IPS Lower Bounds, and the [math]-Conjecture: Can a Natural Number be Negative?

IF 1.2 3区 计算机科学 Q3 COMPUTER SCIENCE, THEORY & METHODS SIAM Journal on Computing Pub Date : 2024-06-05 DOI:10.1137/20m1374523
Yaroslav Alekseev, Dima Grigoriev, Edward A. Hirsch, Iddo Tzameret
{"title":"Semialgebraic Proofs, IPS Lower Bounds, and the [math]-Conjecture: Can a Natural Number be Negative?","authors":"Yaroslav Alekseev, Dima Grigoriev, Edward A. Hirsch, Iddo Tzameret","doi":"10.1137/20m1374523","DOIUrl":null,"url":null,"abstract":"SIAM Journal on Computing, Volume 53, Issue 3, Page 648-700, June 2024. <br/> Abstract. We introduce the binary value principle, which is a simple subset-sum instance expressing that a natural number written in binary cannot be negative, relating it to central problems in proof and algebraic complexity. We prove conditional superpolynomial lower bounds on the Ideal Proof System (IPS) refutation size of this instance, based on a well-known hypothesis by Shub and Smale about the hardness of computing factorials, where IPS is the strong algebraic proof system introduced by Grochow and Pitassi [J. ACM, 65 (2018), 37]. Conversely, we show that short IPS refutations of this instance bridge the gap between sufficiently strong algebraic and semialgebraic proof systems. Our results extend to unrestricted IPS the paradigm introduced by Forbes, Shpilka, Tzameret, and Wigderson [Theory Comput., 17 (2021), pp. 1–88], whereby lower bounds against subsystems of IPS were obtained using restricted algebraic circuit lower bounds, and demonstrate that the binary value principle captures the advantage of semialgebraic over algebraic reasoning, for sufficiently strong systems. Specifically, we show the following. (1) Conditional IPS lower bounds: The Shub–Smale hypothesis [Duke Math. J., 81 (1995), pp. 47–54] implies a superpolynomial lower bound on the size of IPS refutations of the binary value principle over the rationals defined as the unsatisfiable linear equation [math] for Boolean [math]’s. Further, the related and more widely known [math]-conjecture [Duke Math. J., 81 (1995), pp. 47–54] implies a superpolynomial lower bound on the size of IPS refutations of a variant of the binary value principle over the ring of rational functions. No prior conditional lower bounds were known for IPS or apparently weaker propositional proof systems such as Frege systems (though our lower bounds do not translate to Frege lower bounds since the hard instances are not Boolean formulas). (2) Algebraic versus semialgebraic proofs: Admitting short refutations of the binary value principle is necessary for any algebraic proof system to fully simulate any known semialgebraic proof system, and for strong enough algebraic proof systems it is also sufficient. In particular, we introduce a very strong proof system that simulates all known semialgebraic proof systems (and most other known concrete propositional proof systems), under the name Cone Proof System (CPS), as a semialgebraic analogue of the IPS: CPS establishes the unsatisfiability of collections of polynomial equalities and inequalities over the reals, by representing sum-of-squares proofs (and extensions) as algebraic circuits. We prove that IPS polynomially simulates CPS iff IPS admits polynomial-size refutations of the binary value principle (for the language of systems of equations that have no 0/1-solutions), over both [math] and [math].","PeriodicalId":49532,"journal":{"name":"SIAM Journal on Computing","volume":"74 1","pages":""},"PeriodicalIF":1.2000,"publicationDate":"2024-06-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"SIAM Journal on Computing","FirstCategoryId":"94","ListUrlMain":"https://doi.org/10.1137/20m1374523","RegionNum":3,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"COMPUTER SCIENCE, THEORY & METHODS","Score":null,"Total":0}
引用次数: 0

Abstract

SIAM Journal on Computing, Volume 53, Issue 3, Page 648-700, June 2024.
Abstract. We introduce the binary value principle, which is a simple subset-sum instance expressing that a natural number written in binary cannot be negative, relating it to central problems in proof and algebraic complexity. We prove conditional superpolynomial lower bounds on the Ideal Proof System (IPS) refutation size of this instance, based on a well-known hypothesis by Shub and Smale about the hardness of computing factorials, where IPS is the strong algebraic proof system introduced by Grochow and Pitassi [J. ACM, 65 (2018), 37]. Conversely, we show that short IPS refutations of this instance bridge the gap between sufficiently strong algebraic and semialgebraic proof systems. Our results extend to unrestricted IPS the paradigm introduced by Forbes, Shpilka, Tzameret, and Wigderson [Theory Comput., 17 (2021), pp. 1–88], whereby lower bounds against subsystems of IPS were obtained using restricted algebraic circuit lower bounds, and demonstrate that the binary value principle captures the advantage of semialgebraic over algebraic reasoning, for sufficiently strong systems. Specifically, we show the following. (1) Conditional IPS lower bounds: The Shub–Smale hypothesis [Duke Math. J., 81 (1995), pp. 47–54] implies a superpolynomial lower bound on the size of IPS refutations of the binary value principle over the rationals defined as the unsatisfiable linear equation [math] for Boolean [math]’s. Further, the related and more widely known [math]-conjecture [Duke Math. J., 81 (1995), pp. 47–54] implies a superpolynomial lower bound on the size of IPS refutations of a variant of the binary value principle over the ring of rational functions. No prior conditional lower bounds were known for IPS or apparently weaker propositional proof systems such as Frege systems (though our lower bounds do not translate to Frege lower bounds since the hard instances are not Boolean formulas). (2) Algebraic versus semialgebraic proofs: Admitting short refutations of the binary value principle is necessary for any algebraic proof system to fully simulate any known semialgebraic proof system, and for strong enough algebraic proof systems it is also sufficient. In particular, we introduce a very strong proof system that simulates all known semialgebraic proof systems (and most other known concrete propositional proof systems), under the name Cone Proof System (CPS), as a semialgebraic analogue of the IPS: CPS establishes the unsatisfiability of collections of polynomial equalities and inequalities over the reals, by representing sum-of-squares proofs (and extensions) as algebraic circuits. We prove that IPS polynomially simulates CPS iff IPS admits polynomial-size refutations of the binary value principle (for the language of systems of equations that have no 0/1-solutions), over both [math] and [math].
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
半代数证明、IPS 下界和[math]猜想:自然数可以是负数吗?
SIAM 计算期刊》,第 53 卷第 3 期,第 648-700 页,2024 年 6 月。 摘要。我们介绍了二进制值原理,它是一个表达用二进制写成的自然数不能是负数的简单子集和实例,并将其与证明和代数复杂性中的中心问题联系起来。我们基于 Shub 和 Smale 关于计算阶乘难易度的著名假设,证明了该实例的理想证明系统(IPS)驳斥大小的条件超多项式下界,其中 IPS 是 Grochow 和 Pitassi 引入的强代数证明系统[J. ACM, 65 (2018), 37]。反过来,我们证明这个实例的短 IPS 反驳弥补了足够强的代数证明系统与半代数证明系统之间的差距。我们的结果将 Forbes、Shpilka、Tzameret 和 Wigderson [Theory Comput., 17 (2021), pp. 1-88] 提出的范式扩展到了非限制性 IPS,即使用限制性代数电路下界获得针对 IPS 子系统的下界,并证明了二进制值原理抓住了半代数推理相对于代数推理的优势,适用于足够强的系统。具体来说,我们展示了以下内容。(1) 条件 IPS 下界:Shub-Smale 假设[《杜克大学数学学报》, 81 (1995), 第 47-54 页]意味着二进制值原理在有理数上的 IPS 反驳大小的超多项式下界,有理数定义为布尔[math]的不可满足线性方程[math]。此外,相关的、更广为人知的[math]猜想[《杜克大学数学学报》,81 (1995),第 47-54 页]隐含了有理函数环上二进制值原理变式的 IPS 反驳大小的超多项式下界。对于 IPS 或显然较弱的命题证明系统(如弗雷格系统),之前还没有已知的条件下界(尽管我们的下界并不能转化为弗雷格下界,因为困难的实例不是布尔公式)。(2) 代数证明与半代数证明:对于任何代数证明系统来说,承认二进制值原理的简短驳斥是完全模拟任何已知半代数证明系统的必要条件,而对于足够强的代数证明系统来说,这也是充分条件。我们特别引入了一个非常强的证明系统,它可以模拟所有已知的半代数证明系统(以及大多数其他已知的具体命题证明系统),命名为锥形证明系统(Cone Proof System,CPS),作为 IPS 的半代数类似物:CPS 通过将平方和证明(和扩展)表示为代数回路,建立了有数上多项式等式和不等式集合的不可满足性。我们证明,如果在[math]和[math]上,IPS 允许二进制值原理(对于没有 0/1 解的方程组语言)的多项式大小反驳,那么 IPS 多项式地模拟了 CPS。
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
SIAM Journal on Computing
SIAM Journal on Computing 工程技术-计算机:理论方法
CiteScore
4.60
自引率
0.00%
发文量
68
审稿时长
6-12 weeks
期刊介绍: The SIAM Journal on Computing aims to provide coverage of the most significant work going on in the mathematical and formal aspects of computer science and nonnumerical computing. Submissions must be clearly written and make a significant technical contribution. Topics include but are not limited to analysis and design of algorithms, algorithmic game theory, data structures, computational complexity, computational algebra, computational aspects of combinatorics and graph theory, computational biology, computational geometry, computational robotics, the mathematical aspects of programming languages, artificial intelligence, computational learning, databases, information retrieval, cryptography, networks, distributed computing, parallel algorithms, and computer architecture.
期刊最新文献
Optimal Resizable Arrays Stronger 3-SUM Lower Bounds for Approximate Distance Oracles via Additive Combinatorics Resolving Matrix Spencer Conjecture up to Poly-Logarithmic Rank Complexity Classification Transfer for CSPs via Algebraic Products Optimal Sublinear Sampling of Spanning Trees and Determinantal Point Processes via Average-Case Entropic Independence
×
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