Distance-2 Chromatic Number of the Central and Shadow Graphs of a Cycle and its Application to Computer Science

Let \(G=(V(G),E(G))\) be a graph. The chromatic number of a graph \(G\), \(\chi(G)\), is the minimum number of colors needed to color the vertices such that no two adjacent vertices share the same color. The distance-2 chromatic number of G, \(\chi_2 (G)\), extends this by ensuring that no two vertices within distance 2 share the same color in G. This study investigates \(\chi_2 (G)\) for the Shadow and Central graphs of cycles. While previous research has focused on certain graphs, we expand the analysis to the Shadow and Central graphs of cycles, with potential applications in computer science, particularly in network topology and resource allocation.

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Publication Details

Journal
European Journal of Pure and Applied Mathematics
Published
2025-05-01
DOI
https://doi.org/10.29020/nybg.ejpam.v18i2.5734
Primary Topic
Graph Labeling and Dimension Problems
Type
article
Field-Weighted Citation Impact
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article

Distance-2 Chromatic Number of the Central and Shadow Graphs of a Cycle and its Application to Computer Science

Merliza Libao, Kyla B. Abarca
European Journal of Pure and Applied Mathematics
Graph Labeling and Dimension Problems
article

Distance-2 Chromatic Number of the Central and Shadow Graphs of a Cycle and its Application to Computer Science

Merliza Libao, Kyla B. Abarca
article en

Abstract

Let \(G=(V(G),E(G))\) be a graph. The chromatic number of a graph \(G\), \(\chi(G)\), is the minimum number of colors needed to color the vertices such that no two adjacent vertices share the same color. The distance-2 chromatic number of G, \(\chi_2 (G)\), extends this by ensuring that no two vertices within distance 2 share the same color in G. This study investigates \(\chi_2 (G)\) for the Shadow and Central graphs of cycles. While previous research has focused on certain graphs, we expand the analysis to the Shadow and Central graphs of cycles, with potential applications in computer science, particularly in network topology and resource allocation.

European Journal of Pure and Applied MathematicsVol. 18(2)
Openalex Percentile: Top 90%
Graph Labeling and Dimension Problems
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