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首页> 外文期刊>Electronic Colloquium on Computational Complexity >Proofs of Proximity for Context-Free Languages and Read-Once Branching Programs
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Proofs of Proximity for Context-Free Languages and Read-Once Branching Programs

机译:上下文无关语言和一次性分支程序的邻近证明

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Proofs of proximity are probabilistic proof systems in which the verifier only queries a sub-linear number of input bits, and soundness only means that, with high probability, the input is close to an accepting input. In their minimal form, called Merlin-Arthur proofs of proximity (MAP), the verifier receives, in addition to query access to the input, also free access to an explicitly given short (sub-linear) proof. A more general notion is that of an interactive proof of proximity (IPP), in which the verifier is allowed to interact with an all-powerful, yet untrusted, prover. MAPs and IPPs may be thought of as the NP and IP analogues of property testing, respectively.In this work we construct proofs of proximity for two natural classes of properties: context-free languages, and languages accepted by small read-once branching programs. Our main results are:(1) MAPs for these two classes, in which, for inputs of length n , both the verifier's query complexity and the length of the MAP proof are O ( n ) .(2) IPPs for the same two classes with constant query complexity, poly-logarithmic communication complexity, and logarithmically many rounds of interaction.
机译:接近性证明是概率证明系统,在该系统中,验证者仅查询输入位数的亚线性数,而健全性仅表示输入极有可能接近接受输入。验证器以其最小形式(称为Merlin-Arthur邻近证明(MAP)),除了对输入的查询访问外,还可以自由访问显式给定的短(子线性)证明。更为通用的概念是交互式邻近证明(IPP),其中允许验证者与功能强大但不受信任的证明者进行交互。 MAP和IPP可能分别被认为是属性测试的NP和IP类似物。在这项工作中,我们构造了两种自然属性类别的接近度证明:无上下文语言和小型一次读取分支程序接受的语言。我们的主要结果是:(1)这两个类别的MAP,其中对于长度为n的输入,验证者的查询复杂度和MAP证明的长度均为O(n)。(2)同一两个类别的IPP具有恒定的查询复杂度,多对数通信复杂度以及对数多次交互。

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