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The gamma-Signless Laplacian Adjacency Matrix of Mixed Graphs

Authors :
Omar Alomari
Mohammad Abudayah
Manal Ghanem
Source :
Theory and Applications of Graphs, Vol 10, Iss 1, Pp 1-12 (2023)
Publication Year :
2023
Publisher :
Georgia Southern University, 2023.

Abstract

The α-Hermitian adjacency matrix Hα of a mixed graph X has been recently introduced. It is a generalization of the adjacency matrix of unoriented graphs. In this paper, we consider a special case of the complex number α. This enables us to define an incidence matrix of mixed graphs. Consequently, we define a generalization of line graphs as well as a generalization of the signless Laplacian adjacency matrix of graphs. We then study the spectral properties of the gamma-signless Laplacian adjacency matrix of a mixed graph. Lastly, we characterize when the signless Laplacian adjacency matrix of a mixed graph is singular and give lower and upper bounds of number of arcs and digons in terms of largest and lowest eigenvalue of the signless Laplacian adjacency matrix.

Details

Language :
English
ISSN :
24709859
Volume :
10
Issue :
1
Database :
Directory of Open Access Journals
Journal :
Theory and Applications of Graphs
Publication Type :
Academic Journal
Accession number :
edsdoj.1766fe2d0dd743b4901a90a03d36fd2a
Document Type :
article
Full Text :
https://doi.org/10.20429/tag.2023.100111