基于局域的图着色

M. Szegedy, S. Vishwanathan
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引用次数: 95

摘要

研究了基于局部性的图着色问题。这个问题是由移动分组无线网络中广播时隙的分配问题引起的。这个问题也在分布和并行图着色的背景下进行了研究[4,6,9,8]。在这个问题中,必须设计一种着色算法,根据顶点的标签及其相邻顶点的标签为顶点分配颜色。Linial证明了顶点度最大为a的n顶点图局部上色所需颜色数的上界为O(A2 log n),下界为fl(log log n)[9,8]。他的主要动机是重复应用局部着色可以得到一个快速的分布式着色算法。他证明了用这种方法可以在O(log* n)步内得到A2着色。本文对局部着色问题的界进行了改进。利用一组集系统的新表征,我们设计了一个随机算法,并证明了O(a)的上界。在Linial的论文中还有一个重要的问题没有解决,那就是大A的情况,最好的下界是A + 1。Linial观察到Erdos, Frankl和Furedi的结果表明他的方法不能用于将颜色数量减少到(a ~2)以下。我们得到了与上界相匹配的下界在一个多对数因子的范围内。特别有趣的是,我们有非常精确的边界当A >2 +。这些界限对于获得由kean Mulmuley的Packard Fellowship部分支持的*研究的启发式估计是有用的。允许免费复制本材料的全部或部分,前提是这些副本不是为了直接的商业利益而制作或分发的,必须出现ACM版权声明、出版物的标题和日期,并注明复制是由计算机协会许可的。以其他方式复制或重新发布需要付费和/或特定许可。25 ACM STOC ' 93-51931CA, LJSA
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Locality based graph coloring
We study the problem of locality based graph coloring. This problem is motivated by the problem of assigning time slots for broadcast in mobile packet radio networks. This problem has also been studied in the context of distributed and parallel graph coloring [4, 6, 9, 8]. In this problem, one has to design a coloring algorithm that assigns a color to a vertex based on the label of the vertex and the labels on its neighbors. Linial proved an upper bound of O(A2 log n) and a lower bound of fl(log log n) on the number of colors needed to locally color an n-vertex graph with maximum vertex degree A [9, 8]. His main motivation was that repeated application of local coloring gives a fast algorithm for distributed coloring. He proved that one could get a A2 coloring in O(log* n) steps this way. In this paper we improve upon the bounds for the problem of local coloring. Using a new characterization in terms of a family of set systems we design a randomized algorithm for the problem and prove an upper bound of O(A. 2A log log n). An important question left open in Linial’s paper was the case of large A. The best lower bound was A + 1. Linial observed that a result of Erdos, Frankl and Furedi implied that his method cannot be applied to reduce the number of colors to below (A~2). We obtain lower bounds that match the upper bounds within a factor that is poly-logarithmic in terms of these bounds. Of particular interest we have very precise bounds for the case when A > 2+. These bounds are useful to obtain a heuristic estimate on the *Researchsupported in part by Ketan Mulmuley’s Packard Fellowship. Permission to copy without fee all or part of this material is granted provided that the copies are not made or distributed for direct commercial advantage, the ACM copyright notice and the title of the publication and its date appear, and notice is given that copying is by permission of tha Association for Computing Machinery. To copy otherwise, or to republish, requires a fee and/or specific permission. 25th ACM STOC ‘93-51931CA, LJSA
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