Vizing's theorem states that any $n$-vertex $m$-edge graph of maximum degree $\Delta$ can be edge colored using at most $\Delta + 1$ different colors [Vizing, 1964]. Vizing's original proof is algorithmic and shows that such an edge coloring can be found in $O(mn)$ time. This was subsequently improved to $\tilde O(m\sqrt{n})$ time, independently by [Arjomandi, 1982] and by [Gabow et al., 1985]. Very recently, independently and concurrently, using randomization, this runtime bound was further improved to $\tilde{O}(n^2)$ by [Assadi, 2024] and $\tilde O(mn^{1/3})$ by [Bhattacharya, Carmon, Costa, Solomon and Zhang, 2024] (and subsequently to $\tilde O(mn^{1/4})$ time by [Bhattacharya, Costa, Solomon and Zhang, 2024]). In this paper, we present a randomized algorithm that computes a $(\Delta+1)$-edge coloring in near-linear time -- in fact, only $O(m\log{\Delta})$ time -- with high probability, giving a near-optimal algorithm for this fundamental problem.
翻译:Vizing定理指出,任何具有$n$个顶点、$m$条边且最大度为$\Delta$的图,最多可使用$\Delta + 1$种不同颜色进行边着色[Vizing, 1964]。Vizing的原始证明是构造性的,并表明这样的边着色可以在$O(mn)$时间内找到。随后,[Arjomandi, 1982]和[Gabow等人, 1985]分别独立地将时间复杂度改进至$\tilde O(m\sqrt{n})$。最近,通过随机化方法,[Assadi, 2024]与[Bhattacharya, Carmon, Costa, Solomon和Zhang, 2024]分别独立且同时地进一步改进了运行时间上界,分别达到$\tilde{O}(n^2)$和$\tilde O(mn^{1/3})$(随后[Bhattacharya, Costa, Solomon和Zhang, 2024]又将其提升至$\tilde O(mn^{1/4})$时间)。在本文中,我们提出一种随机算法,能以高概率在近似线性时间内——实际上仅需$O(m\log{\Delta})$时间——计算出$(\Delta+1)$边着色,从而为这一基础问题提供了一个近似最优的算法。