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Coloring Relatives of Interval Overlap Graphs via On-line Games

机译:通过在线游戏为间隔重叠图着色

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The main goal of this paper is to formalize and explore a connection between chromatic properties of graphs defined by geometric representations and competitivity analysis of on-line algorithms. This connection became apparent after the recent construction of triangle-free geometric intersection graphs with arbitrarily large chromatic number due to Pawlik et al. We show that any on-line graph coloring problem gives rise to a class of game graphs, which in many cases have a natural representation by geometric objects. As a consequence, problems of estimating the chromatic number of graphs with geometric representations are reduced to finding on-line coloring algorithms that use few colors or proving that such algorithms do not exist. We use this framework to derive upper and lower bounds on the maximum possible chromatic number in terms of the clique number in the following classes of graphs: rectangle overlap graphs, subtree overlap graphs and interval filament graphs. These graphs generalize interval overlap graphs (also known as circle graphs)-a well-studied class of graphs with chromatic number bounded by a function of the clique number. Our bounds are absolute for interval filament graphs and asymptotic of the form (log log n)~(f(ω) for rectangle and subtree overlap graphs. In particular, we provide the first construction of geometric intersection graphs with bounded clique number and with chromatic number asymptotically greater than log log n. Moreover, with some additional assumptions on the geometric representation, the bounds obtained are tight.
机译:本文的主要目标是形式化和探索由几何表示定义的图的色特性与在线算法的竞争力分析之间的联系。由于Pawlik等人的缘故,最近构造的色数任意大的无三角形几何相交图之后,这种联系就变得显而易见了。我们表明,任何在线图形着色问题都会引起一类游戏图,在许多情况下,它们都可以自然地由几何对象表示。结果,估计具有几何表示的图的色数的问题被减少到寻找使用很少颜色的在线着色算法或证明不存在这种算法。我们使用此框架根据以下几类图形中的集团数得出最大可能色数的上限和下限:矩形重叠图,子树重叠图和间隔细丝图。这些图概括了区间重叠图(也称为圆图),这是一种经过充分研究的图,其色数以团数的函数为界。对于区间细丝图,我们的边界是绝对的;对于矩形和子树重叠图,我们的边界是(log log n)〜(f(ω)形式的渐近。渐近大于对数log n的数值。此外,在对几何表示形式进行一些附加假设的情况下,获得的边界是紧密的。

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