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ARS MATHEMATICA CONTEMPORANEA 9 (2015) 109–113

On spectral radius and energy of complete multipartite graphs

Dragan Stevanovi´c

University of Primorska, UP IAM, Muzejski trg 2, SI-6000 Koper, Slovenia and Mathematical Institute, Serbian Academy of Science and Arts, Knez Mihajlova 36, 11000

Belgrade, Serbia

Ivan Gutman

Faculty of Science, University of Kragujevac, P.O. Box 60, 34000 Kragujevac, Serbia

Masood U. Rehman

Air University, Islamabad, Pakistan

Received 18 June 2013, accepted 8 March 2014, published online 8 August 2014

Abstract

Let Kn1,n2,...,npdenote the complete p-partite graph, p > 1, on n = n1+ n2+ · · · + np vertices and let n1 ≥ n2 ≥ · · · ≥ np > 0. We show that for a fixed value of n, both the spectral radius and the energy of complete p-partite graphs are minimal for complete split graph CS(n, p − 1) and are maximal for Tur´an graph T (n, p).

Keywords: Spectral radius of graph, graph energy, complete multipartite graph, complete split graph, Tur´an graph.

Math. Subj. Class.: 05C50

1 Introduction

Let G be a simple graph on n vertices, and λ1 ≥ λ2 ≥ · · · ≥ λn be its eigenvalues (i.e., the eigenvalues of the (0,1)-adjacency matrix of G) [2,4]. Then λ1 = λ1(G) is said to be the spectral radius of the graph G whereas

E = E(G) =

n

X

i=1

i| (1.1)

Corresponding author. The work of DS was supported by Research Programme P1-0285 and Research Project J1-4021 of the Slovenian Research Agency and Research Grant ON174033 of the Ministry of Education and Science of Serbia.

E-mail addresses:[email protected] (Dragan Stevanovi´c), [email protected] (Ivan Gutman), (Masood U. Rehman)

cb This work is licensed under http://creativecommons.org/licenses/by/3.0/

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is its energy. The spectral radius is one of the most thoroughly investigated graph-spectral parameters [2,4,3]. Also the graph energy has recently attracted much attention [6,7]. In spite of this, not much is known on λ1and E of complete multipartite graphs [5].

Let p > 1. Denote by Kn1,n2,...,npthe complete p-partite graph on n = n1+ n2+ · · · + npvertices. For convenience, we assume that n1 ≥ n2≥ · · · ≥ np > 0 . Two particular types of complete multipartite graphs are:

• Complete split graph CS(n, p − 1) = Kn−p+1,1,...,1 consisting of an independent set of n − p + 1 vertices and a clique of p − 1 vertices, such that each vertex of the independent set is adjacent to each vertex of the clique, and

• Tur´an graph T (n, p) ∼= Kdn/pe,...,dn/pe,bn/pc,...,bn/pc, the (p + 1)-clique-free graph with maximum number of edges [10].

A fundamental result on the spectrum of complete multipartite graphs is:

Theorem 1.1 ([9,8]). A connected graph has exactly one positive eigenvalue of its adja- cency matrix if and only if it is a complete multipartite graph.

An immediate consequence of Theorem1.1is

Lemma 1.2. If λ1is the spectral radius of the complete multipartite graphKn1,n2,...,np, thenE(Kn1,n2,...,np) = 2 λ1.

Proof. Since all graph eigenvalues are real numbers and their sum is zero, from Eq. (1.1) follows that E (G) is equal to twice the sum of positive eigenvalues.

It is known that the characteristic polynomial of Kn1,n2,...,npis given by [2,5]

φ(Kn1,n2,...,np, λ) = λn−p 1 −

p

X

i=1

ni λ + ni

! p Y

j=1

(λ + nj) . (1.2)

The spectrum of Kn1,n2,...,npconsists of the spectral radius λ1determined from the equa- tionPp

i=1 ni

λ+ni = 1, eigenvalue 0 with multiplicity n − p and p − 1 eigenvalues situated in the intervals [−np, −np−1], . . . , [−n2, −n1]. In the special case n1= n2= · · · = np= t, the spectrum of Kt,t,...,t consists of the spectral radius t(p − 1) with unit multiplicity, eigenvalue 0 with multiplicity p(t − 1), and eigenvalue −t with multiplicity p − 1, so that

E(Kt,t,...,t) = 2(p − 1)t .

Remark 1.3. The 1-partite complete graph (when p = 1 and t = n) is the edgeless graph Kn for which, consistently, λ1 = E = 0. The n-partite complete graph (when p = n and t = 1) is the ordinary complete graph Kn for which, consistently, λ1 = n − 1 and E = 2(n − 1).

If p = 2, then the special case of Eq. (1.2) is φ(Kn1,n2, λ) = λn−2

λ2− n1n2

 ,

from which the (well known) expressions for spectral radius and energy follow:

λ1(Kn1,n2) =√

n1n2, E(Kn1,n2) = 2√ n1n2. Because n1+ n2= n , for a fixed number of vertices n, we arrive at:

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Claim 1.4. 1λ1(Kn1,n2) and E (Kn1,n2) are minimal if n1= n − 1 and n2= 1.

2λ1(Kn1,n2) and E (Kn1,n2) are maximal if n1− n2≤ 1.

If p = 3, then the special case of Eq. (1.2) is φ(Kt1,t2,t3, λ) = λp−3

λ3− (t1t2+ t2t3+ t3t1) λ − 2 t1t2t3



. (1.3)

Using (1.3), it is relatively easy to show the following:

Claim 1.5. 1Letn1+ n2+ n3be equal to a fixed integern. Then the spectral radius and the energy ofKn1,n2,n3 are minimal ifn1= n − 2 and n2= n3= 1.

2Letn1+ n2+ n3be equal to a fixed integern. Then the spectral radius and the energy ofKn1,n2,n3are maximal ifn1− n3≤ 1.

The above claims were the motivation for establishing our main results:

Theorem 1.6. Let p ≥ 2 and n1+ n2+ · · · + np be equal to a fixed integern. Then the spectral radius and the energy ofKn1,n2,...,npare minimal ifKn1,n2,...,np∼= CS(n, p − 1).

Theorem 1.7. Let p ≥ 2 and n1+ n2+ · · · + np be equal to a fixed integern. Then the spectral radius and the energy ofKn1,n2,...,npare maximal ifKn1,n2,...,np∼= T (n, p).

2 Proofs of Theorems 1.6 and 1.7

Let λ1and x be, respectively, the spectral radius and the corresponding unit eigenvector of the adjacency matrix of Kn1,...,np. Since λ1is a simple eigenvalue of Kn1,...,np, similar vertices have equal x-components. Hence, we may denote by xithe common x-component of vertices in the part of Kn1,...,nphaving nivertices for i = 1, . . . , p. From the eigenvalue equation, we have:

λ1xi=

p

X

k=1 k6=i

nkxk = X − nixi

where X =Pp

k=1nkxk. Then

xi= X λ1+ ni

. (2.1)

Lemma 2.1. If ni− nj ≥ 2, then

λ1(Kn1,...,ni−1,...,nj+1,...,np) > λ1(Kn1,...,ni,...,nj,...,np) .

Proof. Let λ1, x and E denote, respectively, the spectral radius, the corresponding eigen- vector, and the edge set of Kn1,...,ni,...,nj,...,np, and let λ1, Aand Edenote, respectively, the spectral radius, the adjacency matrix, and the edge set of Kn1,...,ni−1,...,nj+1,...,np. From the Variational theorem we have

λ1≥ xTAx = X

uv∈E

2xuxv

= X

uv∈E

2xuxv+ X

uv∈E\E

2xuxv− X

uv∈E\E

2xuxv

= λ1+ 2xi(ni− 1)xi− 2xinjxj

= λ1+ 2xiX ni− 1

λ1+ ni − nj

λ1+ nj



(2.2)

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by Eq. (2.1). Next, note that Kn1,...,ni,...,nj,...,np has Kni,nj as an induced subgraph, so that, by the Interlacing theorem [2],

λ1≥√

ninj> nj. Therefore,

ni− 1 λ1+ ni

− nj λ1+ nj

= (ni− nj− 1)λ1− nj

1+ ni)(λ1+ nj) ≥ λ1− nj

1+ ni)(λ1+ nj) > 0 so that λ1> λ1follows from Eq. (2.2).

Proof of Theorem1.6 Let Km1,...,mpbe the complete multipartite graph with the small- est spectral radius. If there are two parameters mi≥ mj≥ 2, then (mi+1)−(mj−1) ≥ 2 and from Lemma2.1

λ1(Km1,...,mi,...,mj,...,mp) > λ1(Km1,...,mi+1,...,mj−1,...,mp)

contradicting the choice of Km1,...,mi,...,mj,...,mp. Hence, all parameters m1, . . . , mpare equal to one, except for one parameter equal to n−p+1, so that Km1,...,mp∼= CS(n, p−1).



Proof of Theorem1.7 Let Km1,...,mpbe the complete multipartite graph with the largest spectral radius. It is apparent from Lemma2.1, that |mi− mj| ≤ 1 holds for all i 6= j, as otherwise, assuming mi− mj ≥ 2,

λ1(Km1,...,mi−1,...,mj+1,...,mp) > λ1(Km1,...,mi,...,mj,...,mp)

contradicting the choice of Km1,...,mi,...,mj,...,mp. The condition |mi− mj| ≤ 1 for i 6= j implies that each parameter mi is equal to either bn/pc or dn/pe, so that Km1,...,mp ∼=

T (n, p). 

Remark 2.2. Delorme [5] proved (a bit too concisely) that changing the arbitrary e param- eters of a complete multipartite graph by their average value increases the spectral radius by relying on the characteristic polynomial. While this result can be substituted for Lemma2.1 in the proofs of Theorems1.6and1.7, Lemma2.1is an independent result based on the principal eigenvector and inspired by the rotation lemma from [1].

Remark 2.3. Delorme also asked in [5] whether the spectral radius of complete multi- partite graph Kn1,...,np is a concave function on the (p − 1)-dimensional simplex Y : Pp

i=1ni= n ∧ (∀i ∈ {1, . . . , p})(ni≥ 0), i.e., whether

λ1(Kt(n1,...,np)+(1−t)(m1,...,mp)) ≥ t λ1(Kn1,...,np) + (1 − t) λ1(Km1,...,mp) for any two points (n1, . . . , np), (m1, . . . , mp) ∈ Y and each t ∈ [0, 1] such that

t(n1, . . . , np) + (1 − t)(m1, . . . , mp) ∈ Y ?

Delorme proved this affirmatively for p ≤ 3 in [5]. We tested it computationally for t = 0.5, p ∈ {4, . . . , 10} and n ≤ 33 and found no counterexamples to the above question on these simplices.

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References

[1] F. Belardo, E. M. Li Marzi, S. K. Simi´c, Some results on the index of unicyclic graphs, Linear Algebra Appl.416 (2006), 1048–1059.

[2] D. Cvetkovi´c, M. Doob, H. Sachs, Spectra of Graphs—Theory and Application, Academic Press, New York, 1980.

[3] D. Cvetkovi´c, P. Rowlinson, The largest eigenvalue of a graph: A survey, Lin. Multilin. Algebra 28 (1990), 3–33.

[4] D. Cvetkovi´c, P. Rowlinson, S. Simi´c, An Introduction to the Theory of Graph Spectra, Cam- bridge Univ. Press, Cambridge, 2010.

[5] C. Delorme, Eigenvalues of complete multipartite graphs, Discrete Math. 312 (2012), 2532–

2535.

[6] I. Gutman, The energy of a graph: Old and new results, in: A. Betten, A. Kohnert, R. Laue, A.

Wassermann (eds.), Algebraic Combinatorics and Applications, Springer, Berlin, 2001, 196–

211.

[7] X. Li, Y. Shi, I. Gutman, Graph Energy, Springer, New York, 2012.

[8] M. M. Petrovi´c, The spectrum of infinite complete multipartite graphs, Publ. Inst. Math. (Bel- grade) (N.S.)31(45) (1982), 169–176.

[9] J. H. Smith, Some properties of the spectrum of a graph, in: R. Guy, H. Hanani, N. Sauer, J.

Sch¨onheim (eds.), Combinatorial Structures and Their Applications, Gordon & Breach, New York, 1970, 403–406.

[10] P. Tur´an, On an extremal problem in graph theory, Mat. Fiz. Lap. 48 (1941), 436–452.

References

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