网格小定理的多项式界

C. Chekuri, Julia Chuzhoy
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引用次数: 120

摘要

Robertson和Seymour关于图次次的开创性工作的关键成果之一是网格次次定理(也称为排除网格定理)。该定理表明,对于每一个固定大小的网格H,每一个树宽足够大的图,都包含H作为次要项。这个定理在图论和算法中有很多应用。设f(k)表示最大值,使得每个树宽为k的图都包含一个大小为f(k) × f(k)的网格。由于Kawarabayashi和Kobayashi[15]以及Leaf和Seymour[18]最近的工作,目前最好的定量界表明f(k) = Ω(√logk/loglogk)。相反,最著名的上界意味着f(k) = O(√k/logk)[22]。本文通过证明对于某固定常数δ > 0, f(k) = Ω(kδ),得到了树宽与网格小尺寸之间的第一个多项式关系,并描述了一个运行时间为|V (G)|和k的多项式的算法,该算法在G中找到了这样一个网格小尺寸的模型。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Polynomial bounds for the grid-minor theorem
One of the key results in Robertson and Seymour's seminal work on graph minors is the Grid-Minor Theorem (also called the Excluded Grid Theorem). The theorem states that for every fixed-size grid H, every graph whose treewidth is large enough, contains H as a minor. This theorem has found many applications in graph theory and algorithms. Let f(k) denote the largest value, such that every graph of treewidth k contains a grid minor of size f(k) × f(k). The best current quantitative bound, due to recent work of Kawarabayashi and Kobayashi [15], and Leaf and Seymour [18], shows that f(k) = Ω(√logk/loglogk). In contrast, the best known upper bound implies that f(k) = O(√k/logk) [22]. In this paper we obtain the first polynomial relationship between treewidth and grid-minor size by showing that f(k) = Ω(kδ) for some fixed constant δ > 0, and describe an algorithm, whose running time is polynomial in |V (G)| and k, that finds a model of such a grid-minor in G.
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