Remoteness and distance, distance (signless) Laplacian eigenvalues of a graph
- 72 Downloads
Abstract
Let G be a connected graph of order n. The remoteness of G, denoted by ρ, is the maximum average distance from a vertex to all other vertices. Let \(\partial_{1}\geq\cdots\geq\partial_{n}\), \(\partial_{1}^{L}\geq\cdots\geq\partial_{n}^{L}\) and \(\partial_{1} ^{Q}\geq\cdots\geq\partial_{n}^{Q}\) be the distance, distance Laplacian and distance signless Laplacian eigenvalues of G, respectively. In this paper, we give lower bounds on \(\rho+\partial _{1}\), \(\rho-\partial_{n}\), \(\rho+\partial_{1}^{L}\), \(\partial_{1} ^{L}-\rho\), \(2\rho+\partial_{1}^{Q}\) and \(\partial_{1}^{Q}-2\rho\) and the corresponding extremal graphs are also characterized.
Keywords
Remoteness Distance eigenvalues Distance (signless) Laplacian eigenvaluesMSC
05C501 Introduction
The distance matrix of G, denoted by \(D(G)\), is the symmetric real matrix with \((i, j)\)-entry being \(d_{ij}\). Let \(\operatorname{Tr}(G)=\operatorname{diag}(\operatorname{Tr}(v _{1}), \operatorname{Tr}(v_{2}), \ldots, \operatorname{Tr}(v_{n}))\) be the diagonal matrix of the vertex transmissions in G. The distance Laplacian matrix and the distance signless Laplacian matrix of G are defined as \(D^{L}(G)=\operatorname{Tr}(G)-D(G)\) and \(D^{Q}(G)=\operatorname{Tr}(G)+D(G)\), respectively. Let \(\partial_{1}\geq\cdots\geq\partial_{n}\), \(\partial_{1}^{L}\geq \cdots\geq\partial_{n}^{L}\) and \(\partial_{1}^{Q}\geq\cdots\geq \partial_{n}^{Q}\) are the distance eigenvalues (see [1, 2, 3]), distance Laplacian eigenvalues (see [4]) and distance signless Laplacian eigenvalues (see [5]) of G, respectively. In particular, the eigenvalues \(\partial_{1}\), \(\partial_{1}^{L}\) and \(\partial_{1}^{Q}\) are called the distance spectral radius, the distance Laplacian spectral radius and the distance signless Laplacian spectral radius of G, respectively.
Recently, remoteness, which is one of the most important distance graph parameters, has attracted much attention of many graph theory researchers. In [6], Sedlar et al. proved two AutoGraphiX (a software package devoted to conjecture-making in graph theory) conjectures on remoteness, vertex connectivity and algebraic connectivity. Sedlar [7] also studied AutoGraphiX conjectures involving remoteness and other distance invariants. Aouchiche and Hansen [8] gave Nordhaus–Gaddum-type inequalities for remoteness in graphs and the extremal graphs were also characterized. Hua et al. [9, 10] solved several conjectures related to remoteness and used remoteness to give a new sufficient condition for a connected bipartite graph to be Hamiltonian. Aouchiche and Hansen [11] provided the lower bounds on \(\partial_{1}-\rho\) and \(\rho+\partial_{2}\). Furthermore, they also proposed two conjectures. Lin et al. [12] confirmed these two conjectures. They also gave lower bounds on \(\rho+\partial_{n}\) and \(\partial_{1}-\rho\) when \(G\ncong K_{n}\) and the extremal graphs were characterized. Inspired by these two papers, we continue to study the relations between remoteness and distance, distance (signless) Laplacian eigenvalues. In particular, we give lower bounds on \(\rho+\partial_{1}\), \(\rho-\partial_{n}\), \(\rho+\partial_{1}^{L}\), \(\partial_{1}^{L}-\rho\), \(2\rho+\partial _{1}^{Q}\) and \(\partial_{1}^{Q}-2\rho\) and the corresponding extremal graphs are characterized.
2 Preliminaries
Before giving the proof of our theorems, we introduce some fundamental lemmas and properties in this section.
Lemma 2.1
([12])
Denote by \(H_{n-d}\) (\(n>d\)) a graph of order \(n-d\) such that \(V(H_{n-d})=V( \overline{K}_{n-d})\) and \(E(H_{n-d})\supseteq E(\overline{K}_{n-d})\), where \(\overline{K}_{n-d}\) is a null graph of order \(n-d\). Let \(H_{n, d}\) be a graph of order n with diameter d obtained by joining \(n-d\) edges between one end of the path \(P_{d}\) with each vertex of \(H_{n-d}\).
Lemma 2.2
([12])
Lemma 2.3
([12])
Lemma 2.4
([13])
Lemma 2.5
([14])
Lemma 2.6
([4])
LetGbe a connected graph of ordern. Then\(\partial_{1}^{L} \geq n\), with equality if and only if\(G\cong K_{n}\).
Lemma 2.7
([15])
Lemma 2.8
([5])
Lemma 2.9
([16])
IfGis a connected graph on\(n\geq2\)vertices. Then\(\partial_{1} ^{Q}\geq2n-2\)with equality if and only if\(G\cong K_{n}\).
Lemma 2.10
([5])
Lemma 2.11
([17])
Lemma 2.12
([5])
3 Remoteness and distance eigenvalues of a graph
Aouchiche et al. [11] and Lin et al. [12] obtained the following two results.
Theorem 3.1
([11])
Theorem 3.2
([12])
Naturally, we consider the bounds on \(\rho+\partial_{1}\) in this paper.
Theorem 3.3
Proof
By Lemma 2.1, \(\rho\leq d-\frac{d^{2}-d}{2(n-1)}=f(d)\). Note that \(f(d)\) is a strictly increasing function on d, then \(\rho \leq f(n-1)=\frac{n}{2}\), and the equality holds if and only if \(G\cong H_{n,n-1}=P_{n}\). Meanwhile, it was shown in [18] that \(\partial_{1}(G)\leq\partial_{1}(P_{n})\) with equality holding if and only if \(G\cong P_{n}\). Hence the right side of the theorem holds.
By the definition of ρ, we have \(\rho\geq1\) with the equality if and only if \(G\cong K_{n}\). As is well known [18] \(\partial_{1}(G)\geq n-1\) with equality if and only if \(G\cong K_{n}\). So the lower bound is completed. □
Theorem 3.4
Proof
Theorem 3.5
Proof
In [11], Aouchiche and Hansen showed a lower bound on the sum of the remoteness and the second largest distance eigenvalue, \(\rho+\partial_{2}\), of a graph with given number of vertices n.
Theorem 3.6
([11])
In fact, the bound in the above corollary is best possible among the bounds of the form \(\rho+\partial_{k}\geq0\), with a fixed integer k, over the class of all connected graphs. First, we prove a lower bound on \(\rho+\partial_{2}\) among all the complete bipartite graphs \(K_{a,b}\).
Theorem 3.7
Proof
Naturally, for a connected graph, we propose the following conjecture.
Conjecture 3.8
Furthermore, Aouchiche [11] et al. proved the following result.
Theorem 3.9
([11])
Lin [19] showed that \(\partial_{n}\leq-d\) with equality if and only if G is a complete multipartite graph. Using this, we obtain the following result.
Theorem 3.10
Proof
Let G be a connected graph with diameter d. Then \(2\leq d\leq n-1\). Clearly, by Lemma 2.2, we know that \(\rho+\partial_{n}\leq -\frac{d ^{2}-d}{2(n-1)}=f(d)\). Note that \(f(d)\) is a strictly decreasing function on d. Hence \(\rho+\partial_{n}\leq- \frac{d^{2}-d}{2(n-1)}\leq f(2)=-\frac{1}{n-1}\), with the equality holding if and only if \(G\cong H_{n,2}\) and G is a complete multipartite graph. Thus \(G\cong K_{1,n-1}\). □
Next, we start to consider the lower bound on \(\rho-\partial_{n}\).
Theorem 3.11
Proof
Let G be a connected graph with d. If \(d\geq2\), then \(\rho- \partial_{n}>\frac{d}{2}+d=\frac{3}{2}d\geq3\). Note that \(\rho(K _{n})-\partial_{n}(K_{n})=2\), the result follows. □
Theorem 3.12
Proof
4 Remoteness and distance Laplacian eigenvalues of a graph
In this section, we mainly investigate the relations between remoteness and the distance Laplacian eigenvalues of a graph.
Theorem 4.1
Proof
By Lemma 2.6, we have \(\rho+\partial_{1}^{L}\geq\rho+n \geq n+1\), with the left equality holding if and only if \(G\cong K _{n}\).
Similar to the proof of Theorem 3.3, we have \(\rho(G)\leq \rho(P_{n})\) with the equality if and only if \(G\cong P_{n}\). Meanwhile, it was shown in [20] that \(\partial_{1}^{L}(G) \leq\partial_{1}^{L}(P_{n})\) with equality holding if and only if \(G\cong P_{n}\). Hence the right side of the theorem holds. □
Theorem 4.2
Proof
Theorem 4.3
Proof
Theorem 4.4
Proof
5 Remoteness and distance signless Laplacian eigenvalues of a graph
First, we consider the bounds on \(2\rho+\partial _{1}^{Q}\).
Theorem 5.1
Proof
For \(G\cong K_{n}\), then \(2\rho+\partial_{1}^{Q}=2n-2+2=2n\).
If \(d\geq3\), we know that \(\partial_{1}^{Q}(G)>2n-4+2d\geq2n+2\), thus \(\partial_{1}^{Q}(G)+2\rho>2n\).
If \(d=2\), we know that \(\rho=2-\frac{\delta}{n-1}\) and \(\partial _{1}^{Q}\geq\frac{4W}{n}\geq2(n+1)-\frac{4(1+\delta)}{n}\). Then \(\partial_{1}^{Q}(G)+2\rho=2n+2-\frac{4(1+\delta)}{n}+4-\frac{2 \delta}{n-1}=2n+6-\frac{4(1+\delta)}{n}-\frac{2\delta}{n-1}>2n\).
It was shown in [20] that \(\partial_{1}^{Q}(G)\leq\partial _{1}^{Q}(P_{n})\) with equality holding if and only if \(G\cong P_{n}\). Hence the right side of the theorem holds. □
Theorem 5.2
Proof
Theorem 5.3
Proof
Next, we prove the lower bound on \(\partial_{1}^{Q}-2\rho\).
Theorem 5.4
Proof
Theorem 5.5
Proof
6 Conclusions
We give lower bounds on \(\rho+\partial_{1}\), \(\rho-\partial_{n}\), \(\rho+\partial_{1}^{L}\), \(\partial_{1}^{L}-\rho\), \(2\rho+\partial _{1}^{Q}\) and \(\partial_{1}^{Q}-2\rho\) and the corresponding extremal graphs are characterized. Considering the distance, distance Laplacian and distance signless Laplacian eigenvalues of a graph is still an interesting and important problem.
Notes
Acknowledgements
This project is supported by NSF of China (Nos. 11701148), Natural Science Foundation of Education Ministry of Henan Province (18B110005), the China Postdoctoral Science Foundation (No. 2017M612410).
Authors’ contributions
HCJ carried out the proofs of main results in the manuscript. HCJ and HYS participated in the design of the study and drafted the manuscripts. All the authors read and approved the final manuscripts.
Competing interests
The authors declare that they have no competing interests.
References
- 1.Liu, R., Xue, J., Guo, L.: On the second largest distance eigenvalue of a graph. Linear Algebra Appl. 65, 1011–1021 (2017) CrossRefMATHMathSciNetGoogle Scholar
- 2.Liu, R., Xue, J.: Graphs with small diameter determined by their D-spectra. Czechoslov. Math. J. (2018). https://doi.org/10.21136/CMJ.2018.0505-15 Google Scholar
- 3.Xue, J., Liu, R., Jia, H.: On the distance spectrum of trees. Filomat 30, 1559–1565 (2016) CrossRefMATHMathSciNetGoogle Scholar
- 4.Aouchiche, M., Hansen, P.: Two Laplacians for the distance matrix of a graph. Linear Algebra Appl. 439, 21–33 (2013) CrossRefMATHMathSciNetGoogle Scholar
- 5.Xue, J., Lin, H., Das, K., Shu, J.: More results on the distance (signless) Laplacian eigenvalues of graphs (21 May 2017) arXiv:1705.07419v1 [math.CO]
- 6.Sedlar, J., Vukčević, D., Aouchiche, M., Hansen, P.: Variable neighborhood search for extremal graphs: 25. Products of connectivity and distance measure. Graph Theory Notes N. Y. 55, 6–13 (2008) MathSciNetGoogle Scholar
- 7.Sedlar, J.: Remoteness, proximity and few other distance invariants in graphs. Filomat 27, 1425–1435 (2013) CrossRefMATHMathSciNetGoogle Scholar
- 8.Aouchiche, M., Hansen, P.: Nordhaus–Gaddum relations for proximity and remoteness in graphs. Comput. Math. Appl. 59, 2827–2835 (2010) CrossRefMATHMathSciNetGoogle Scholar
- 9.Hua, H., Chen, Y., Das, K.: The difference between remoteness and radius of a graph. Discrete Appl. Math. 187, 103–110 (2015) CrossRefMATHMathSciNetGoogle Scholar
- 10.Hua, H., Das, K.: Proof of conjectures on remoteness and proximity in graphs. Discrete Appl. Math. 171, 72–80 (2014) CrossRefMATHMathSciNetGoogle Scholar
- 11.Aouchiche, M., Hansen, P.: Proximity, remoteness and distance eigenvalues of a graph. Discrete Appl. Math. 213, 17–25 (2016) CrossRefMATHMathSciNetGoogle Scholar
- 12.Lin, H., Das, K., Wu, B.: Remoteness and distance eigenvalues of a graph. Discrete Appl. Math. 215, 218–224 (2016) CrossRefMATHMathSciNetGoogle Scholar
- 13.Indulal, G.: Sharp bounds on the distance spectral radius and the distance energy of graphs. Linear Algebra Appl. 430, 106–113 (2009) CrossRefMATHMathSciNetGoogle Scholar
- 14.Lin, H., Hong, Y., Wang, J., Shu, J.: On the distance spectrum of graphs. Linear Algebra Appl. 439, 1662–1669 (2013) CrossRefMATHMathSciNetGoogle Scholar
- 15.Lin, H., Wu, B., Chen, Y., Shu, J.: On the distance and distance Laplacian eigenvalues of graphs. Linear Algebra Appl. 492, 128–135 (2016) CrossRefMATHMathSciNetGoogle Scholar
- 16.Aouchiche, M., Hansen, P.: On the distance signless Laplacian of a graph. Linear Multilinear Algebra 64, 1113–1123 (2016) CrossRefMATHMathSciNetGoogle Scholar
- 17.Xing, R., Zhou, B., Li, J.: On the distance signless Laplacian spectral radius of graphs. Linear Multilinear Algebra 62, 1377–1387 (2014) CrossRefMATHMathSciNetGoogle Scholar
- 18.Ruzieh, S., Powers, D.: The distance spectrum of the path \(P_{n}\) and the first distance eigenvector of connected graphs. Linear Multilinear Algebra 28, 75–81 (1990) CrossRefMATHGoogle Scholar
- 19.Lin, H.: On the least distance eigenvalue and its applications on the distance spread. Discrete Math. 338, 868–874 (2015) CrossRefMATHMathSciNetGoogle Scholar
- 20.Silva, C. Jr, Nikiforov, V.: Graph functions maximized on a path. Linear Algebra Appl. 485, 21–32 (2015) CrossRefMATHMathSciNetGoogle Scholar
Copyright information
Open Access This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made.