Advertisement
Published in:
03-01-2018
Generalized acyclic edge colorings via entropy compression
Published in: Journal of Combinatorial Optimization | Issue 3/2018
Log inActivate our intelligent search to find suitable subject content or patents.
Select sections of text to find matching patents with Artificial Intelligence. powered by
Select sections of text to find additional relevant content using AI-assisted search. powered by
Abstract
An r-acyclic edge coloring of a graph G is a proper edge coloring such that any cycle C has at least \(\min \{|C|,r\}\) colors. The least number of colors needed for an r-acyclic edge coloring of G is called the r-acyclic edge chromatic number or the r-acyclic chromatic index of G, denoted by \(A'_{r}\left( G\right) \). In this paper, we study the r-acyclic edge chromatic number with \(r\ge 4\) and prove that \(A'_{r}\left( G\right) \le 2\Delta ^{\lfloor \tfrac{r}{2}\rfloor }+O\left( \Delta ^{\tfrac{r+1}{3}}\right) \). We also prove that when r is even, \(A'_{r}\left( G\right) \le \Delta ^{\tfrac{r}{2}}+O\left( \Delta ^{\tfrac{r+1}{3}}\right) \), which is asymptotically optimal. In addition, we investigate how the r-acyclic edge chromatic number performs as the girth increases. It is proved in this paper that for every graph G with girth at least \(2r-1\), \(A'_r\left( G\right) \le \left( 9r-7\right) \Delta +10r-12\) holds. Our approach is based on the entropy compression method.