Probabilistically checkable proofs with low amortized query complexity

M. Sudan, L. Trevisan
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引用次数: 35

Abstract

The error probability of Probabilistically Checkable Proof (PCP) systems can be made exponentially small in the number of queries by using sequential repetition. In this paper we are interested in determining the precise rate at which the error goes down in an optimal protocol, and we make substantial progress toward a tight resolution of this question. A PCP verifier uses q~ amortized query bits if, for some t, it makes q~t queries and has error probability at most 2/sup -t/. A PCP characterization of NP using 2.5 amortized query bits is known, and, unless P=NP, no such characterization is possible using 1 amortized query bits. We present a PCP characterization of NP that uses roughly 1.5 amortized query bits. Our result has two main implications. Separating PCP from 2-Provers 1-Round: In the 2-Provers 1-Round (2P1R) model the verifier has access to two oracles (or provers) and can make one query to each oracle. Each answer is a string of l bits (l is called the answer size). A 2P1R protocol with answer size l can be simulated by a PCP that reads 21 bits; we show that the converse does not hold for l/spl ges/7, unless P=NP. No such separation was known before. The Max kCSP problem: The Boolean constraint satisfaction problem with constraints involving at most k variables, usually called Max kCSP, is known to be hard to approximate within a factor 2/sup -4k/, and a 2.2/sup -k/-approximation algorithm is also known. We prove that Max kCSP is NP-hard to approximate within a factor of roughly 2/sup -2k/3/.
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具有低平摊查询复杂度的概率可检验证明
通过使用顺序重复,可以使概率可检验证明(PCP)系统的错误概率在查询数量上呈指数级降低。在本文中,我们感兴趣的是确定最优协议中误差下降的精确速率,并且我们在严格解决这个问题方面取得了实质性进展。PCP验证器使用q~平摊的查询位,如果对于某个t,它进行q~t查询并且错误概率不超过2/sup -t/。使用2.5个平摊查询位的NP的PCP表征是已知的,除非P=NP,否则不可能使用1个平摊查询位进行这种表征。我们提出了一个NP的PCP表征,它使用了大约1.5个平摊查询位。我们的结果有两个主要含义。将PCP从2-证明者1-轮中分离出来:在2-证明者1-轮(2P1R)模型中,验证者可以访问两个oracle(或证明者),并且可以对每个oracle进行一次查询。每个答案是一个l位的字符串(l称为答案大小)。应答长度为1的2P1R协议可以用读取21位的PCP来模拟;我们证明,除非P=NP,否则对于l/spl ges/7,反之不成立。以前人们并不知道这种分离。Max kCSP问题:包含最多k个变量的约束的布尔约束满足问题,通常称为Max kCSP,已知难以在因子2/sup -4k/范围内近似,并且还知道2.2/sup -k/近似算法。我们证明了最大kCSP在大约2/sup -2k/3/的因子内是NP-hard近似。
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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