On the Vector Degree Matrix of a Connected Graph
Nasr A. Zeyada,
Anwar Saleh,
Majed Albaity,
Amr K. Amin and
Kinkar Chandra Das
Journal of Mathematics, 2022, vol. 2022, 1-9
Abstract:
A matrix representation of the graph is one of the tools to study the algebraic structure and properties of a graph. In this paper, by defining the vector degree matrix of graph G, we provide a new matrix representation of the graph. For some standard graphs, VD-eigenvalues, VD-spectrum, and VD-energy values are defined and calculated. Moreover, we calculate the VD-matrix and calculate the VD-eigenvalues for graphs representing the chemical composition of paracetamol and tramadol.
Date: 2022
References: Add references at CitEc
Citations:
Downloads: (external link)
http://downloads.hindawi.com/journals/jmath/2022/8307871.pdf (application/pdf)
http://downloads.hindawi.com/journals/jmath/2022/8307871.xml (application/xml)
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:hin:jjmath:8307871
DOI: 10.1155/2022/8307871
Access Statistics for this article
More articles in Journal of Mathematics from Hindawi
Bibliographic data for series maintained by Mohamed Abdelhakeem ().