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Improved Inapproximability Results for Maximum k-Colorable Subgraph

机译:改进的最大k色子图的不可逼近结果

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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 fc-coloring that properly colors more than a fraction ≈ 1- 1/33k 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.rnUsing 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-l 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.
机译:我们研究基本图着色问题的最大化版本。这里的目标是用k种颜色给k可着色图的顶点着色,以使最大比例的边缘被正确着色(即它们的端点接收不同的颜色)。随机k着色正确地为边缘的预期分数1-1 / k着色。我们证明,给定一个承诺为k色的图形,要找到能正确着色大于≈1 / 3-1k边缘分数的fc着色是NP困难的。以前,仅知道1- O(1 / k〜2)的硬度系数。我们的结果确定了近似因子对k的正确渐近依赖性。这样一来,我们证明在大于32/33的因数内逼近最大3色子图问题是NP-hard.rn。使用半定编程,已知人可以做得比随机着色更好,并且可以对分数进行适当着色1 -多项式时间内边缘的1 / k +(2 ln k)/ k〜2。我们表明,假设从2到1的猜想,很难正确着色(使用k种颜色)大于k可着色边缘的分数1-1 / k + O(ln k / k〜2)图形。

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