{"title":"BPP的决定性特征","authors":"Stathis Zachos, Hans Heller","doi":"10.1016/S0019-9958(86)80044-4","DOIUrl":null,"url":null,"abstract":"<div><p>The complexity class BPP (defined by Gill) contains problems that can be solved in polynomial time with bounded error probability. A new and simple characterization of BPP is given. It is shown that a language <em>L</em> is in BPP iff (<em>x</em> ∈ <em>L</em> → ∃<sup>+</sup><em>y</em>∀<em>zP</em>(<em>x</em>, <em>y</em>, <em>z</em>)) ∧ (<em>x</em> ∉ <em>L</em> → ∀<em>y</em>∃<sup>+</sup> <em>z</em> ¬ <em>P</em>(<em>x</em>, <em>y</em>, <em>z</em>)) for a polynomial-time predicate <em>P</em> and for |<em>y</em>|, |<em>z</em>| ⩽ poly (|<em>x</em>|). The formula ∃<sup>+</sup> <em>yP</em>(<em>y</em>) with the random quantifier ∃<sup>+</sup> means that the probability Pr({<em>y</em>|<em>P</em>(<em>y</em>)}) ⩾+ ɛ for a fixed ɛ. This characterization allows a simple proof that BPP ⊆ ZPP<sup>NP</sup>, which strengthens the result of (Lautemann, <em>Inform. Process. Lett.</em> 17 (1983), 215–217; Sipser, <em>in</em> “Proceedings, 15th Annu. ACM Sympos. Theory of Comput.,” 1983, pp. 330–335) that BPP ⊆ Σ<sub>2</sub><sup><em>p</em></sup> ∩ Π<sub>2</sub><sup><em>p</em></sup>. Several other results about probabilistic classes can be proved using similar techniques, e.g., NP<sup>R</sup> ⊆ ZPP<sup>NP</sup> and Σ<sub>2</sub><sup><em>p</em>,BPP</sup> = Σ<sub>2</sub><sup><em>p</em></sup>.</p></div>","PeriodicalId":38164,"journal":{"name":"信息与控制","volume":"69 1","pages":"Pages 125-135"},"PeriodicalIF":0.0000,"publicationDate":"1986-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1016/S0019-9958(86)80044-4","citationCount":"53","resultStr":"{\"title\":\"A decisive characterization of BPP\",\"authors\":\"Stathis Zachos, Hans Heller\",\"doi\":\"10.1016/S0019-9958(86)80044-4\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><p>The complexity class BPP (defined by Gill) contains problems that can be solved in polynomial time with bounded error probability. A new and simple characterization of BPP is given. It is shown that a language <em>L</em> is in BPP iff (<em>x</em> ∈ <em>L</em> → ∃<sup>+</sup><em>y</em>∀<em>zP</em>(<em>x</em>, <em>y</em>, <em>z</em>)) ∧ (<em>x</em> ∉ <em>L</em> → ∀<em>y</em>∃<sup>+</sup> <em>z</em> ¬ <em>P</em>(<em>x</em>, <em>y</em>, <em>z</em>)) for a polynomial-time predicate <em>P</em> and for |<em>y</em>|, |<em>z</em>| ⩽ poly (|<em>x</em>|). The formula ∃<sup>+</sup> <em>yP</em>(<em>y</em>) with the random quantifier ∃<sup>+</sup> means that the probability Pr({<em>y</em>|<em>P</em>(<em>y</em>)}) ⩾+ ɛ for a fixed ɛ. This characterization allows a simple proof that BPP ⊆ ZPP<sup>NP</sup>, which strengthens the result of (Lautemann, <em>Inform. Process. Lett.</em> 17 (1983), 215–217; Sipser, <em>in</em> “Proceedings, 15th Annu. ACM Sympos. Theory of Comput.,” 1983, pp. 330–335) that BPP ⊆ Σ<sub>2</sub><sup><em>p</em></sup> ∩ Π<sub>2</sub><sup><em>p</em></sup>. Several other results about probabilistic classes can be proved using similar techniques, e.g., NP<sup>R</sup> ⊆ ZPP<sup>NP</sup> and Σ<sub>2</sub><sup><em>p</em>,BPP</sup> = Σ<sub>2</sub><sup><em>p</em></sup>.</p></div>\",\"PeriodicalId\":38164,\"journal\":{\"name\":\"信息与控制\",\"volume\":\"69 1\",\"pages\":\"Pages 125-135\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1986-04-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://sci-hub-pdf.com/10.1016/S0019-9958(86)80044-4\",\"citationCount\":\"53\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"信息与控制\",\"FirstCategoryId\":\"1093\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S0019995886800444\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q4\",\"JCRName\":\"Mathematics\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"信息与控制","FirstCategoryId":"1093","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0019995886800444","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"Mathematics","Score":null,"Total":0}
引用次数: 53
摘要
复杂性类BPP (Gill定义)包含可以在多项式时间内求解且错误概率有界的问题。给出了一种新的、简单的BPP表征。证明了语言L在BPP iff (x∈L→∃+y∀zP(x, y, z))∧(x∈L→∀y∃+ z ø P(x, y, z))中对于多项式时间谓词P和对于|y|, |z|≤poly (|x|)。公式∃+ yP(y)与随机量词∃+意味着Pr({y|P(y)})大于或等于一个固定的ν。这一特性可以简单地证明BPP≥ZPPNP,从而强化了劳特曼、Inform的结论。的过程。左17 (1983),215-217;Sipser,摘自《论文集》,第15期。ACM Sympos。《计算机理论》,”1983,pp. 330-335), BPP≥≥Σ2p∩Π2p。其他几个关于概率类的结果也可以用类似的方法得到证明,如:NPR≥ZPPNP, Σ2p,BPP = Σ2p。
The complexity class BPP (defined by Gill) contains problems that can be solved in polynomial time with bounded error probability. A new and simple characterization of BPP is given. It is shown that a language L is in BPP iff (x ∈ L → ∃+y∀zP(x, y, z)) ∧ (x ∉ L → ∀y∃+z ¬ P(x, y, z)) for a polynomial-time predicate P and for |y|, |z| ⩽ poly (|x|). The formula ∃+yP(y) with the random quantifier ∃+ means that the probability Pr({y|P(y)}) ⩾+ ɛ for a fixed ɛ. This characterization allows a simple proof that BPP ⊆ ZPPNP, which strengthens the result of (Lautemann, Inform. Process. Lett. 17 (1983), 215–217; Sipser, in “Proceedings, 15th Annu. ACM Sympos. Theory of Comput.,” 1983, pp. 330–335) that BPP ⊆ Σ2p ∩ Π2p. Several other results about probabilistic classes can be proved using similar techniques, e.g., NPR ⊆ ZPPNP and Σ2p,BPP = Σ2p.