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On the Voting Time of the Deterministic Majority Process

机译:论确定性多数过程的表决时间

摘要

In the deterministic binary majority process we are given a simple graph where each node has one out of two initial opinions. In every round, each node adopts the majority opinion among its neighbors. It is known that this process always converges in O(|E|) rounds to a two-periodic state in which every node either keeps its opinion or changes it in every round.It has been shown by Frischknecht, Keller, and Wattenhofer (2013) that the O(|E|) bound on the convergence time of the deterministic binary majority process is even for dense graphs tight. However, in many graphs such as the complete graph the process converges in justa constant number of rounds from any initial opinion assignment.We show that it is NP-hard to decide whether there exists an initial opinion assignment for which it takes more than k rounds to converge to the two-periodic stable state, for a given integer k. We then give a new upper bound on the voting time of the deterministic binary majority process. Our bound can be computed in linear time by carefully exploiting the structure of the potential function by Goles and Olivos. We identify certain modules of a graph G to obtain a new graph G^Delta. This new graph G^Delta has the property that the worst-case convergence time of G^Delta is an upper bound on that of G. Our new bounds asymptotically improve the best known bounds for various graph classes.
机译:在确定性二元多数过程中,我们得到一个简单的图,其中每个节点有两个初始意见中的一个。在每一轮中,每个节点在其邻居中都采用多数意见。众所周知,这个过程总是在O(| E |)轮次收敛到两个周期的状态,在这种状态下每个节点要么保持其观点,要么在每一轮改变它.Frischknecht,Keller和Wattenhofer(2013 ),确定性二元多数过程的收敛时间上的O(| E |)甚至对于紧密的密集图也是均匀的。但是,在许多图(例如完整图)中,过程从任何初始意见分配开始都以恒定的回合数收敛。我们表明,确定是否存在需要花费k轮以上的初始意见分配是NP很难的对于给定的整数k收敛到二周期稳定状态。然后,我们给确定性二进制多数化过程的投票时间赋予新的上限。通过Goles和Olivos仔细利用势函数的结构,可以在线性时间内计算边界。我们确定图G的某些模块以获得新的图G ^ Delta。此新图G ^ Delta具有以下性质:G ^ Delta的最坏情况收敛时间是G的上限。我们的新界限渐近地改善了各种图类的最著名界限。

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