Interval edge coloring of some classes operations graph of paths

Abstract With the wide application of combinatorial optimization problems in optics, we were inspired by optics and studied the interval edge coloring problem of operational graphs. The maximum value of t for an interval t -coloring is denoted by W(G) , which is a proper edge-coloring of a graph G using colors 1, 2, …, t . In this coloring process, all colors are used, and the color of the edges associated with each vertex has a different color, forming an interval of integers. In this paper, we prove that G is interval colorable and we give a lower bound on W(G) if and only if G is a generalized Mycielski graph, double graph or middle graph of the path.

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Publication Details

Journal
Journal of Physics Conference Series
Published
2025-02-01
DOI
https://doi.org/10.1088/1742-6596/2964/1/012097
Primary Topic
Advanced Graph Theory Research
Type
article
Field-Weighted Citation Impact
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article

Interval edge coloring of some classes operations graph of paths

Chuang Zhong, Tian Shuang-liang, M. Jin
Journal of Physics Conference Series
Advanced Graph Theory Research
article

Interval edge coloring of some classes operations graph of paths

Chuang Zhong, Tian Shuang-liang, M. Jin
article en

Abstract

Abstract With the wide application of combinatorial optimization problems in optics, we were inspired by optics and studied the interval edge coloring problem of operational graphs. The maximum value of t for an interval t -coloring is denoted by W(G) , which is a proper edge-coloring of a graph G using colors 1, 2, …, t . In this coloring process, all colors are used, and the color of the edges associated with each vertex has a different color, forming an interval of integers. In this paper, we prove that G is interval colorable and we give a lower bound on W(G) if and only if G is a generalized Mycielski graph, double graph or middle graph of the path.

Journal of Physics Conference SeriesVol. 2964(1)
Minzu University of China (CN)
Openalex Percentile: Top 95%
Advanced Graph Theory Research
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