Majority is Incompressible by AC^0[p] Circuits

I. Oliveira, R. Santhanam
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引用次数: 10

Abstract

We consider C-compression games, a hybrid model between computational and communication complexity. A C-compression game for a function f : {0,1}n → {0,1} is a two-party communication game, where the first party Alice knows the entire input x but is restricted to use strategies computed by C-circuits, while the second party Bob initially has no information about the input, but is computationally unbounded. The parties implement an interactive communication protocol to decide the value of f (x), and the communication cost of the protocol is the maximum number of bits sent by Alice as a function of n = |x|. We show that any AC0d[p]-compression protocol to compute Majorityn requires communication n/(log n)2d+O(1), where p is prime, and AC0d[p] denotes polynomial size unbounded fan-in depth-d Boolean circuits extended with modulo p gates. This bound is essentially optimal, and settles a question of Chattopadhyay and Santhanam (2012). This result has a number of consequences, and yields a tight lower bound on the total fan-in of oracle gates in constant-depth oracle circuits computing Majorityn. We define multiparty compression games, where Alice interacts in parallel with a polynomial number of players that are not allowed to communicate with each other, and communication cost is defined as the sum of the lengths of the longest messages sent by Alice during each round. In this setting, we prove that the randomized r-round AC0[p]-compression cost of Majorityn is nΘ(1/r). This result implies almost tight lower bounds on the maximum individual fan-in of oracle gates in certain restricted bounded-depth oracle circuits computing Majorityn. Stronger lower bounds for functions in NP would separate NP from NC1. Finally, we consider the round separation question for two-party AC0-compression games, and significantly improve known separations between r -round and (r + 1)-round protocols, for any constant r.
多数是不可压缩的AC^0[p]电路
我们考虑c压缩游戏,这是计算和通信复杂性之间的混合模型。函数f: {0,1}n→{0,1}的c压缩博弈是一个双方通信博弈,其中第一方Alice知道整个输入x,但限制使用c电路计算的策略,而第二方Bob最初没有关于输入的信息,但计算无界。双方实现一个交互式通信协议来确定f (x)的值,该协议的通信成本是Alice发送的最大比特数n = |x|的函数。我们证明了任何AC0d[p]-压缩协议计算Majorityn需要通信n/(log n)2d+O(1),其中p是素数,并且AC0d[p]表示多项式大小的无界扇入深度d布尔电路扩展与模p门。这个边界本质上是最优的,并解决了Chattopadhyay和Santhanam(2012)的问题。这个结果有许多结果,并且在计算多数派的恒定深度的oracle电路中产生一个oracle门的总扇入的严格下界。我们定义了多方压缩博弈,其中Alice与多项式数量的不允许彼此通信的玩家并行交互,并且通信成本定义为Alice在每轮中发送的最长消息长度的总和。在这种情况下,我们证明了Majorityn的随机r-round AC0[p]-压缩代价为nΘ(1/r)。这一结果表明,在某些限制有界深度的oracle电路中,计算Majorityn的oracle门的最大单个扇入的下界几乎是紧的。NP中函数更强的下界将把NP从NC1中分离出来。最后,我们考虑了双方ac0压缩博弈的回合分离问题,并显著改进了已知的r -round和(r + 1)-round协议之间的分离,对于任意常数r。
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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