Planar graphs are acyclically edge $$(\Delta + 5)$$ -colorable

IF 0.9 4区 数学 Q4 COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS
Qiaojun Shu, Guohui Lin
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引用次数: 0

Abstract

An edge coloring of a graph G is to color all its edges such that adjacent edges receive different colors. It is acyclic if the subgraph induced by any two colors does not contain a cycle. Fiamcik (Math Slovaca 28:139-145, 1978) and Alon et al. (J Graph Theory 37:157-167, 2001) conjectured that every simple graph with maximum degree \(\Delta \) is acyclically edge \((\Delta + 2)\)-colorable — the well-known acyclic edge coloring conjecture. Despite many major breakthroughs and minor improvements, the conjecture remains open even for planar graphs. In this paper, we prove that planar graphs are acyclically edge \((\Delta + 5)\)-colorable. Our proof has two main steps: Using discharging methods, we first show that every non-trivial planar graph contains a local structure in one of the eight characterized groups; we then deal with each local structure to color the edges in the graph acyclically using no more than \(\Delta + 5\) colors by an induction on the number of edges.

Abstract Image

平面图具有非循环边$$(\Delta + 5)$$ -可着色性
图 G 的边着色是对其所有边着色,使相邻的边获得不同的颜色。如果任意两种颜色所诱导的子图不包含循环,则该图为非循环图。Fiamcik (Math Slovaca 28:139-145, 1978) 和 Alon 等人 (J Graph Theory 37:157-167, 2001) 猜想,每个具有最大度 \(\Delta \) 的简单图都是((\Delta + 2)\) 无循环边着色的--这就是著名的无循环边着色猜想。尽管取得了许多重大突破和细微改进,但即使对于平面图,该猜想也仍然没有答案。在本文中,我们证明了平面图是无环边((\Delta + 5)\)可着色的。我们的证明有两个主要步骤:利用放电方法,我们首先证明了每个非三维平面图都包含八个特征群中的一个局部结构;然后,我们通过对边的数量进行归纳,处理每个局部结构,从而用不超过 \(\Delta + 5\) 的颜色对图中的边进行非循环着色。
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来源期刊
Journal of Combinatorial Optimization
Journal of Combinatorial Optimization 数学-计算机:跨学科应用
CiteScore
2.00
自引率
10.00%
发文量
83
审稿时长
6 months
期刊介绍: The objective of Journal of Combinatorial Optimization is to advance and promote the theory and applications of combinatorial optimization, which is an area of research at the intersection of applied mathematics, computer science, and operations research and which overlaps with many other areas such as computation complexity, computational biology, VLSI design, communication networks, and management science. It includes complexity analysis and algorithm design for combinatorial optimization problems, numerical experiments and problem discovery with applications in science and engineering. The Journal of Combinatorial Optimization publishes refereed papers dealing with all theoretical, computational and applied aspects of combinatorial optimization. It also publishes reviews of appropriate books and special issues of journals.
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