The $\!{}\bmod k$ chromatic index of random graphs
F\'abio Botler, Lucas Colucci, Yoshiharu Kohayakawa

TL;DR
This paper investigates the $mod k$ chromatic index of random graphs, establishing asymptotic values depending on the parity of $k$ and the size of the graph, extending previous bounds to probabilistic settings.
Contribution
It determines the asymptotic behavior of the $mod k$ chromatic index for random graphs under certain edge probability conditions, generalizing prior deterministic bounds.
Findings
For odd $k$, the index is asymptotically $k$.
For even $k$, the index is asymptotically $k$ or $k+1$ depending on the graph size.
Results hold with high probability under specified edge probability conditions.
Abstract
The chromatic index of a graph is the minimum number of colors needed to color the edges of in a way that the subgraph spanned by the edges of each color has all degrees congruent to . Recently, the authors proved that the chromatic index of every graph is at most , improving, for large , a result of Scott [Discrete Math. 175, 1-3 (1997), 289-291]. Here we study the chromatic index of random graphs. We prove that for every integer , there is such that if and as , then the following holds: if is odd, then the chromatic index of is asymptotically almost surely equal to , while if is even, then the chromatic index of (respectively ) is asymptotically almost surely…
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Taxonomy
TopicsLimits and Structures in Graph Theory · Graph Labeling and Dimension Problems · Advanced Graph Theory Research
