On the Vector Degree Matrix of a Connected Graph
Author(s) -
Nasr Zeyada,
Anwar Saleh,
Majed Albaity,
Amr Kamel Amin
Publication year - 2022
Publication title -
journal of mathematics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.252
H-Index - 13
eISSN - 2314-4785
pISSN - 2314-4629
DOI - 10.1155/2022/8307871
Subject(s) - mathematics , degree matrix , algebraic connectivity , adjacency matrix , eigenvalues and eigenvectors , combinatorics , graph energy , graph , discrete mathematics , line graph , voltage graph , graph power , physics , quantum mechanics
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.
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