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arXiv 0910.2271cs.CC
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极大k-可着色子图的不可逼近性的改进结果

Improved Inapproximability Results for Maximum k-Colorable Subgraph

Venkatesan Guruswami, Ali Kemal Sinop

摘要:

我们研究的基本图着色问题的最大化版本。这里的目标是用k种颜色对k-可着色图的顶点进行着色,以便最大比例的边被正确着色(即它们的端点接收不同的颜色)。一个随机k-着色正确地着色一个期望的分数1-1/k的边缘。我们证明了给定一个保证是k-可着色的图,要找到一个k-着色能正确地着色超过1-O(1/k)的边是NP-困难的.以前,只有1-O(1/k^2)的硬度因子是已知的。我们的结果给出了近似因子对k的正确的渐近依赖性。一路上,我们证明了近似的最大3-着色子图问题的一个因素大于32/33是NP-困难的。使用半定规划,我们知道可以比随机着色做得更好,并且可以在多项式时间内对边的分数1-1/k +2 ln k/k^2进行适当着色。我们证明了,假设2比1猜想,很难正确地着色(使用k种颜色)超过分数1-1/k + O(ln k/ k^2)的边的k-可着色图。

英文摘要:

We study the maximization version of the fundamental graph coloring problem. Here the goal is to color the vertices of a k-colorable graph with k colors so that a maximum fraction of edges are properly colored (i.e. their endpoints receive different colors). A random k-coloring properly colors an expected fraction 1-1/k of edges. We prove that given a graph promised to be k-colorable, it is NP-hard to find a k-coloring that properly colors more than a fraction ~1-O(1/k} of edges. Previously, only a hardness factor of 1-O(1/k^2) was known. Our result pins down the correct asymptotic dependence of the approximation factor on k. Along the way, we prove that approximating the Maximum 3-colorable subgraph problem within a factor greater than 32/33 is NP-hard. Using semidefinite programming, it is known that one can do better than a random coloring and properly color a fraction 1-1/k +2 ln k/k^2 of edges in polynomial time. We show that, assuming the 2-to-1 conjecture, it is hard to properly color (using k colors) more than a fraction 1-1/k + O(ln k/ k^2) of edges of a k-colorable graph.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

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