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The gamma-Signless Laplacian Adjacency Matrix of Mixed Graphs
- 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