Defective Coloring is Perfect for Minors

IF 1 2区 数学 Q1 MATHEMATICS Combinatorica Pub Date : 2024-02-21 DOI:10.1007/s00493-024-00081-8
Chun-Hung Liu
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Abstract

The defective chromatic number of a graph class is the infimum k such that there exists an integer d such that every graph in this class can be partitioned into at most k induced subgraphs with maximum degree at most d. Finding the defective chromatic number is a fundamental graph partitioning problem and received attention recently partially due to Hadwiger’s conjecture about coloring minor-closed families. In this paper, we prove that the defective chromatic number of any minor-closed family equals the simple lower bound obtained by the standard construction, confirming a conjecture of Ossona de Mendez, Oum, and Wood. This result provides the optimal list of unavoidable finite minors for infinite graphs that cannot be partitioned into a fixed finite number of induced subgraphs with uniformly bounded maximum degree. As corollaries about clustered coloring, we obtain a linear relation between the clustered chromatic number of any minor-closed family and the tree-depth of its forbidden minors, improving an earlier exponential bound proved by Norin, Scott, Seymour, and Wood and confirming the planar case of their conjecture.

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瑕疵着色非常适合未成年人
一个图类的缺陷色度数是存在一个整数 d,使得该类中的每个图都能被划分为最多具有最大度为 d 的 k 个诱导子图的下位数 k。寻找缺陷色度数是一个基本的图划分问题,最近受到关注的部分原因是 Hadwiger 关于着色小封闭族的猜想。在本文中,我们证明了任何小封闭族的缺陷色度数等于标准构造得到的简单下限,从而证实了 Ossona de Mendez、Oum 和 Wood 的猜想。这一结果提供了无限图不可避免的有限小数的最优列表,这些无限图无法分割成具有均匀有界最大度的固定有限数量的诱导子图。作为关于聚类着色的推论,我们得到了任何小封闭族的聚类色度数与其禁止小数的树深度之间的线性关系,改进了诺林、斯科特、西摩和伍德早先证明的指数约束,并证实了他们猜想的平面情况。
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来源期刊
Combinatorica
Combinatorica 数学-数学
CiteScore
1.90
自引率
0.00%
发文量
45
审稿时长
>12 weeks
期刊介绍: COMBINATORICA publishes research papers in English in a variety of areas of combinatorics and the theory of computing, with particular emphasis on general techniques and unifying principles. Typical but not exclusive topics covered by COMBINATORICA are - Combinatorial structures (graphs, hypergraphs, matroids, designs, permutation groups). - Combinatorial optimization. - Combinatorial aspects of geometry and number theory. - Algorithms in combinatorics and related fields. - Computational complexity theory. - Randomization and explicit construction in combinatorics and algorithms.
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