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Matrix power inequalities and the number of walks in graphs

Authors :
Jeremias Weihmann
Hanjo Täubig
Source :
Discrete Applied Mathematics. 176:122-129
Publication Year :
2014
Publisher :
Elsevier BV, 2014.

Abstract

We unify and generalize several inequalities for the number w"k of walks of length k in graphs, and for the entry sum of matrix powers. First, we present a weighted sandwich theorem for Hermitian matrices which generalizes a matrix theorem by Marcus and Newman and which further generalizes our former unification of inequalities for the number of walks in undirected graphs by Lagarias et al. and by Dress and Gutman. The new inequality uses an arbitrary nonnegative weighting of the indices (vertices) which allows to apply the theorem to index (vertex) subsets (i.e., inequalities considering the number w"k(S,S) of walks of length k that start at a vertex of a given vertex subset S and that end within the same subset). We also deduce a stronger variation of the sandwich theorem for the case of positive-semidefinite Hermitian matrices which generalizes another inequality of Marcus and Newman. Further, we show a similar theorem for nonnegative symmetric matrices which is another unification and generalization of inequalities for walk numbers by Erdos and Simonovits, by Dress and Gutman, and by Ilic and Stevanovic. In the last part, we generalize lower bounds for the spectral radius of adjacency matrices and upper bounds for the energy of graphs.

Details

ISSN :
0166218X
Volume :
176
Database :
OpenAIRE
Journal :
Discrete Applied Mathematics
Accession number :
edsair.doi...........3e64d134231122831561b32b846683e8