On the Boundary of Incidence Energy and Its Extremum Structure of Tricycle Graphs

With the wide application of graph theory in circuit layout, signal flow chart and power system, more and more attention has been paid to the network topology analysis method of graph theory. In this paper, we construct a graph transformation which can reflect the monotonicity of coefficients and re...

Full description

Bibliographic Details
Main Authors: Hongyan Lu, Zhongxun Zhu
Format: Article
Language:English
Published: Frontiers Media S.A. 2020-06-01
Series:Frontiers in Physics
Subjects:
Online Access:https://www.frontiersin.org/article/10.3389/fphy.2020.00208/full
_version_ 1818135837754261504
author Hongyan Lu
Zhongxun Zhu
author_facet Hongyan Lu
Zhongxun Zhu
author_sort Hongyan Lu
collection DOAJ
description With the wide application of graph theory in circuit layout, signal flow chart and power system, more and more attention has been paid to the network topology analysis method of graph theory. In this paper, we construct a graph transformation which can reflect the monotonicity of coefficients and reduce the number of graphs. A sharp lower bound for incidence energy in the tricyclic graphs is given and all the extremal structures are characterized. The most interesting things that we find two different classes tricyclic graphs have the same signless Laplacian characteristic polynomials and one of the extremal graphs beyond all expectations.
first_indexed 2024-12-11T09:30:52Z
format Article
id doaj.art-8b4e48001cc14b7391910c0a241f5f81
institution Directory Open Access Journal
issn 2296-424X
language English
last_indexed 2024-12-11T09:30:52Z
publishDate 2020-06-01
publisher Frontiers Media S.A.
record_format Article
series Frontiers in Physics
spelling doaj.art-8b4e48001cc14b7391910c0a241f5f812022-12-22T01:13:01ZengFrontiers Media S.A.Frontiers in Physics2296-424X2020-06-01810.3389/fphy.2020.00208544394On the Boundary of Incidence Energy and Its Extremum Structure of Tricycle GraphsHongyan Lu0Zhongxun Zhu1College of Science, Xijing University, Xi'an, ChinaFaculty of Mathematics and Statistics, South Central University for Nationalities, Wuhan, ChinaWith the wide application of graph theory in circuit layout, signal flow chart and power system, more and more attention has been paid to the network topology analysis method of graph theory. In this paper, we construct a graph transformation which can reflect the monotonicity of coefficients and reduce the number of graphs. A sharp lower bound for incidence energy in the tricyclic graphs is given and all the extremal structures are characterized. The most interesting things that we find two different classes tricyclic graphs have the same signless Laplacian characteristic polynomials and one of the extremal graphs beyond all expectations.https://www.frontiersin.org/article/10.3389/fphy.2020.00208/fullincidence energyextremal graphtricyclic graphLaplacian matrixsignless Laplacian coefficients
spellingShingle Hongyan Lu
Zhongxun Zhu
On the Boundary of Incidence Energy and Its Extremum Structure of Tricycle Graphs
Frontiers in Physics
incidence energy
extremal graph
tricyclic graph
Laplacian matrix
signless Laplacian coefficients
title On the Boundary of Incidence Energy and Its Extremum Structure of Tricycle Graphs
title_full On the Boundary of Incidence Energy and Its Extremum Structure of Tricycle Graphs
title_fullStr On the Boundary of Incidence Energy and Its Extremum Structure of Tricycle Graphs
title_full_unstemmed On the Boundary of Incidence Energy and Its Extremum Structure of Tricycle Graphs
title_short On the Boundary of Incidence Energy and Its Extremum Structure of Tricycle Graphs
title_sort on the boundary of incidence energy and its extremum structure of tricycle graphs
topic incidence energy
extremal graph
tricyclic graph
Laplacian matrix
signless Laplacian coefficients
url https://www.frontiersin.org/article/10.3389/fphy.2020.00208/full
work_keys_str_mv AT hongyanlu ontheboundaryofincidenceenergyanditsextremumstructureoftricyclegraphs
AT zhongxunzhu ontheboundaryofincidenceenergyanditsextremumstructureoftricyclegraphs