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On the distribution of eigenvalues of the reciprocal distance Laplacian matrix of graphs

2022/08/28 by Pirzada, S., Khan, Saleem
#05C12 #05C50 #15A18 #Combinatorics (math.CO) #FOS: Mathematics

paper · doi:10.48550/arxiv.2208.13216

Abstract

The reciprocal distance Laplacian matrix of a connected graph G is defined as RDL(G)=RT(G)-RD(G), where RT(G) is the diagonal matrix of reciprocal distance degrees and RD(G) is the Harary matrix. Since RDL(G) is a real symmetric matrix, we denote its eigenvalues as λ1(RDL(G))≥ λ2(RDL(G))≥ … ≥ λn(RDL(G)). The largest eigenvalue λ1(RDL(G)) of RDL(G) is called the reciprocal distance Laplacian spectral radius. In this article, we prove that the multiplicity of n as a reciprocal distance Laplacian eigenvalue of RDL(G) is exactly one less than the number of components in the complement graph G of G. We show that the class of the complete bipartite graphs maximize the reciprocal distance Laplacian spectral radius among all the bipartite graphs with n vertices. Also, we show that the star graph Sn is the unique graph having the maximum reciprocal distance Laplacian spectral radius in the class of trees with n vertices. We determine the reciprocal distance Laplacian spectrum of several well known graphs. We prove that the complete graph Kn, Kn-e, the star Sn, the complete balanced bipartite graph K(n)/(2),(n)/(2) and the complete split graph CS(n,α) are all determined from the RDL-spectrum.

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