Null Spaces Dimension of the Eigenvalue -1 in a Graph

Autor: Gohdar H. Mohiaddin, Khidir R. Sharaf
Jazyk: angličtina
Rok vydání: 2019
Předmět:
Zdroj: Science Journal of University of Zakho, Vol 7, Iss 4 (2019)
Druh dokumentu: article
ISSN: 2663-628X
2663-6298
DOI: 10.25271/sjuoz.2019.7.4.609
Popis: In geographic, the eigenvalues and eigenvectors of transportation network provides many informations about its connectedness. It is proven that the more highly connected in a transportation network G has largest eigenvalue and hence more multiple occurrences of the eigenvalue -1. For a graph G with adjacency matrix A, the multiplicity of the eigenvalue -1 equals the dimension of the null space of the matrix A + I. In this paper, we constructed a high closed zero sum weighting of G and by which its proved that, the dimension of the null space of the eigenvalue -1 is the same as the number of independent variables used in a non-trivial high closed zero sum weighting of the graph. Multiplicity of -1 as an eigenvalue of known graphs and of corona product of certain classes of graphs are determined and two classes of -1- nut graphs are constructed.
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