Abstract

The distance spectral radius of a connected graph is the largest eigenvalue of its distance matrix. In this paper, we give several less restricted graft transformations that decrease the distance spectral radius, and determine the unique graph with minimum distance spectral radius among home-omorphically irreducible unicylic graphs on n ≥ 6 vertices, and the unique tree with minimum distance spectral radius among trees on n vertices with given number of vertices of degree two, respectively.

Highlights

  • We consider simple, finite, undirected and connected graphs

  • A homeomorphically irreducible unicylic graph is a unicylic graph with no vertex of degree two

  • The distance spectrum of G is the spectrum of the distance matrix of G, defined as the n by n symmetric matrix D(G) = (dG(u, v))u,v∈V (G)

Read more

Summary

Introduction

Finite, undirected and connected graphs. For u ∈ V (G), let NG(u) be the set of neighbors of u in G. Lin and Zhou [8] determined the trees with maximum distance spectral radius among trees on n vertices with given number of vertices of degree two. We propose some graft transformations with less restricted conditions that decrease the distance spectral radius, and as applications, we identify the unique graphs that minimize the distance spectral radius among homeomorphically irreducible unicylic graphs on n ≥ 6 vertices, and among trees on n vertices with given number of vertices of degree two, respectively

Preliminaries
Graft transformations that decrease the distance spectral radius
Graphs minimizing the distance spectral radius
Full Text
Paper version not known

Talk to us

Join us for a 30 min session where you can share your feedback and ask us any queries you have

Schedule a call

Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.