文章基本信息

标题：Arthur-Merlin Games in Boolean Decision Trees
本地全文：下载
作者：Ran Raz ; Gábor Tardos ; Oleg Verbitsky 等
期刊名称：Electronic Colloquium on Computational Complexity
印刷版ISSN：1433-8092
出版年度：1997
卷号：1997
出版社：Universität Trier, Lehrstuhl für Theoretische Computer-Forschung
摘要：It is well known that probabilistic boolean decision trees cannot be much more powerful than deterministic ones (N.~Nisan, SIAM Journal on Computing, 20(6):999--1007, 1991). Motivated by a question if randomization can significantly speed up a nondeterministic computation via a boolean decision tree, we address structural properties of Arthur-Merlin games in this model and prove some lower bounds. We consider two cases of interest, the first when the length of communication between the players is bounded and the second if it is not. While in the first case we can carry over the relations between the corresponding Turing complexity classes, in the second case we observe in contrast with Turing complexity that a one round Merlin-Arthur protocol is as powerful as a general interactive proof system and, in particular, can simulate a one-round Arthur-Merlin protocol. Moreover, we show that sometimes a Merlin-Arthur protocol can be more efficient than an Arthur-Merlin protocol, and than a Merlin-Arthur protocol with limited communication. This is the case for a boolean function whose set of zeroes is a code with high minimum distance and a natural uniformity condition. Such functions provide an example when the Merlin-Arthur complexity is 1 with one-sided error (321), but at the same time the nondeterministic decision tree complexity is (n). The latter should be contrasted with another fact we prove. Namely, if a function has Merlin-Arthur complexity 1 with one-sided error probability (032], then its nondeterministic complexity is bounded by a constant. Other results of the paper include connections with the block sensitivity and related combinatorial properties of a boolean function.
关键词：Arthur-Merlin games, Boolean Decision Trees, InteractiveProofs, Linear Codes