ON SOME INEQUALITIES FOR THE SKEW LAPLACIAN ENERGY OF DIGRAPHS Skew Laplacian Energy of Digraphs C. ADIGA AND Z. KHOSHBAKHT C. Adiga and Z. Khoshbakht Department of Studies in Mathematics University of Mysore Manasagangothri MYSORE - 570 006, INDIA vol. 10, iss. 3, art. 80, 2009 EMail: c_adiga@hotmail.com Title Page znbkht@gmail.com Contents Received: 16 April, 2009 JJ II Accepted: 28 July, 2009 J I Communicated by: S.S. Dragomir 2000 AMS Sub. Class.: 05C50, 05C90. Key words: Digraphs, skew energy, skew Laplacian energy. Abstract: In this paper we introduce and investigate the skew Laplacian energy of a digraph. We establish upper and lower bounds for the skew Laplacian energy of a digraph. Acknowledgements: We thank the referee for helpful remarks and useful suggestions. The first author is thankful to the Department of Science and Technology, Government of India, New Delhi for the financial support under the grant DST/SR/S4/MS: 490/07. Page 1 of 12 Go Back Full Screen Close Contents 1 Introduction 3 2 Bounds for the Skew Laplacian Energy of a Digraph 6 Skew Laplacian Energy of Digraphs C. Adiga and Z. Khoshbakht vol. 10, iss. 3, art. 80, 2009 Title Page Contents JJ II J I Page 2 of 12 Go Back Full Screen Close 1. Introduction In this paper we are concerned with simple directed graphs. A directed graph (or just digraph) G consists of a non-empty finite set V (G) = {v1 , v2 , . . . , vn } of elements called vertices and a finite set Γ(G) of ordered pairs of distinct vertices called arcs. Two vertices are called adjacent if they are connected by an arc. The skew-adjacency matrix of G is the n × n matrix S(G) = [aij ] where aij = 1 whenever (vi , vj ) ∈ Γ(G), aij = −1 whenever (vj , vi ) ∈ Γ(G), aij = 0 otherwise. Hence S(G) is a skew√symmetric matrix of order n and all its eigenvalues are of the form iλ where i = −1 and λ ∈ R. The skew energy of G is the sum of the absolute value of the eigenvalues of S(G). For additional information on the skew energy of digraphs we refer to [1]. The degree of a vertex in a digraph G is the degree of the corresponding vertex of the underlying graph of G. Let D(G) = diag(d1 , d2 , . . . , dn ), the diagonal matrix with vertex degrees d1 , d2 , . . . , dn of v1 , v2 , . . . , vn . Then L(G) = D(G) − S(G) is called the Laplacian matrix of the digraph G. Let µ1 , µ2 , . . . , µn be the eigenvalues of L(G). Then the set σSL (G) = {µ1 , µ2 , . . . , µn } is called the skew Laplacian spectrum of the digraph G. The Laplacian matrix of a simple, undirected (n, m) graph G1 is L(G1 ) = D(G1 ) − A(G1 ), where A(G1 ) is the adjacency matrix of G1 . It is symmetric, singular, positive semi-definite and all its eigenvalues are real and non negative. It is well known that the smallest eigenvalue is zero and its multiplicity is equal to the number of connected components of G1 . The Laplacian spectrum of the graph G1 , consisting of the numbers α1 , α2 , . . . , αn is the spectrum of its Laplacian matrix L(G1 ) [3, 4]. The spectrum of the graph G1 , consisting of the numbers λ1 , λ2 , . . . , λn is the spectrum of its adjacency matrix A(G1 ). The ordinary and Laplacian eigenvalues obey the following well-known relations: (1.1) n X i=1 λi = 0; n X i=1 λ2i = 2m, Skew Laplacian Energy of Digraphs C. Adiga and Z. Khoshbakht vol. 10, iss. 3, art. 80, 2009 Title Page Contents JJ II J I Page 3 of 12 Go Back Full Screen Close n X (1.2) αi = 2m; i=1 n X αi2 = 2m + i=1 n X d2i . i=1 The energy of the graph G1 is defined as E(G1 ) = n X |λi |. i=1 C. Adiga and Z. Khoshbakht For a survey of the mathematical properties of the energy we refer to [5]. In order to define the Laplacian energy of G1 , Gutman and Zhou [6] introduced auxiliary "eigenvalues" βi , i = 1, 2, . . . , n, defined by βi = αi − Then it follows that n X βi = 0 and i=1 1 2 Pn Skew Laplacian Energy of Digraphs vol. 10, iss. 3, art. 80, 2009 Title Page 2m . n n X βi2 = 2M i=1 2m 2 ). n where M = m + i=1 (di − If G1 is an (n, m)-graph and its Laplacian eigenvalues are α1 , α2 , . . . , αn , then the Laplacian energy of G1 [6] is defined by n n X X 2m LE(G1 ) = |βi | = αi − n . i=1 i=1 Gutman and Zhou [6] have shown a great deal of analogy between the properties of E(G1 ) and LE(G1 ). Among others they proved the following two inequalities: √ (1.3) LE(G1 ) ≤ 2M n Contents JJ II J I Page 4 of 12 Go Back Full Screen Close and (1.4) √ 2 M ≤ LE(G1 ) ≤ 2M. Various bounds for the Laplacian energy of a graph can be found in [8, 9]. The main purpose of this paper is to introduce the concept of the skew Laplacian energy SLE(G) of a simple, connected digraph G, and to establish upper and lower bounds for SLE(G) which are similar to (1.3) and (1.4). We may mention here that the skew Laplacian energy of a digraph considered in [2] was actually the second spectral moment. Skew Laplacian Energy of Digraphs C. Adiga and Z. Khoshbakht vol. 10, iss. 3, art. 80, 2009 Title Page Contents JJ II J I Page 5 of 12 Go Back Full Screen Close 2. Bounds for the Skew Laplacian Energy of a Digraph We begin by giving the formal definition of the skew Laplacian energy of a digraph. Definition 2.1. Let S(G) be the skew adjacency matrix of a simple digraph G, possessing n vertices and m edges. Then the skew Laplacian energy of the digraph G is defined as n X 2m µi − , SLE(G) = n i=1 Skew Laplacian Energy of Digraphs C. Adiga and Z. Khoshbakht vol. 10, iss. 3, art. 80, 2009 where µ1 , µ2 , . . . , µn are the eigenvalues of the Laplacian matrix L(G) = D(G) − S(G). Title Page In analogy with (1.2), Adiga and Smitha [2] have proved that Contents (2.1) n X n X µi = i=1 di = 2m i=1 and (2.2) II J I Page 6 of 12 n X i=1 µ2i = n X di (di − 1). i=1 We may observe that equations (2.1) and (2.2) are evident as (1.1) and (1.2), which follow from the trace equality. Define γi = µi − 2m for i = 1, 2, . . . , n. On using (2.1) and (2.2) we see that n (2.3) JJ n X i=1 γi = 0 Go Back Full Screen Close and n X (2.4) γi2 = 2M, i=1 where 2 n 2m 1X . M = −m + di − 2 i=1 n Since 2m/n is the average vertex degree, we have M + m = 0 if and only if G is regular. Theorem 2.2. Let G be an (n, m)-digraph and let di be the degree of the ith vertex of G, i = 1, 2, . . . , n. If µ1 , µ2 , . . . , µn are the eigenvalues of the Laplacian matrix L(G) = D(G) − S(G), where D(G) = diag(d1 , d2 , . . . , dn ) is the diagonal matrix and S(G) = [aij ] is the skew-adjacency matrix of G, then p SLE(G) ≤ 2M1 n. P Here M1 = M + 2m = m + 12 ni=1 (di − 2m )2 . n (2.5) Re(µi ) = i=1 n X Title Page Contents JJ II J I Go Back di . Full Screen i=1 By Schur’s unitary triangularization theorem, there is a unitary matrix U such that U ∗ L(G)U = T = [tij ], where T is an upper triangular matrix with diagonal entries tii = µi , i = 1, 2, . . . , n, i.e. L(G) = [sij ] and T = [tij ] are unitarily equivalent. That is, n n n n X X X X |sij |2 = |tij |2 ≥ |tii |2 = |µi |2 . i,j=1 C. Adiga and Z. Khoshbakht vol. 10, iss. 3, art. 80, 2009 Page 7 of 12 Proof. From (2.1) it is clear that n X Skew Laplacian Energy of Digraphs i,j=1 i=1 i=1 Close Thus n X (2.6) d2i + 2m ≥ n X i=1 |µi |2 . i=1 Let γi = µi − 2m , i = 1, 2, . . . , n. By the Cauchy-Schwarz inequality applied to the n Euclidean vectors (|γ1 |, |γ2 |, . . . , |γn |) and (1, 1, . . . , 1), we have v u n n n X uX X √ 2m 2 n. t µi − = (2.7) SLE(G) = |γ | ≤ |γ | i i n i=1 i=1 i=1 i=1 n X 2m 2m µi − µi − |γi | = n n i=1 Contents 2 = n X i=1 n 4m2 2m X 2 Re µi + |µi | − n i=1 n ≤ 2m + 2 n X 4m n d2i − i=1 (2.8) C. Adiga and Z. Khoshbakht vol. 10, iss. 3, art. 80, 2009 Title Page Now by (2.5) and (2.6), n X Skew Laplacian Energy of Digraphs n X i=1 = 2M1 . 4m2 n II J I Page 8 of 12 Go Back Full Screen Close Using (2.8) in (2.7), we conclude that SLE(G) ≤ di + JJ p 2M1 n. Second Proof. Consider the sum S= n X n X (|γi | − |γj |)2 . i=1 j=1 By direct calculation S = 2n n X i=1 |γi |2 − 2 n X i=1 |γi | n X ! |γj | . j=1 Skew Laplacian Energy of Digraphs C. Adiga and Z. Khoshbakht vol. 10, iss. 3, art. 80, 2009 It follows from (2.8) and the definition of SLE(G) that S ≤ 4nM1 − 2SLE(G)2 . √ Since S ≥ 0, we have SLE(G) ≤ 2M1 n. If E(G1 ) is the ordinary energy of a simple graph G1 it is well-known [7] that v " u 2 # 2m u 2m (2.9) E(G1 ) ≤ + t(n − 1) 2m − . n n Title Page Contents JJ II J I Page 9 of 12 Go Back We prove an inequality similar to (2.9) involving the skew Laplacian energy of a digraph. Let G be an (n, m)-digraph. Suppose µ1 , µ2 , . . . , µn are the eigenvalues of the Laplacian matrix L(G) with |γ1 | ≤ |γ2 | ≤ · · · ≤ |γn | = k, where γi = µi − 2m , n i = 1, 2, . . . , n. Let X = (|γ1 | ≤ |γ2 | ≤ · · · ≤ |γn−1 |) and Y = (1, 1, . . . , 1). By the Cauchy-Schwarz inequality we have !2 n−1 n−1 X X |γi | ≤ (n − 1) |γi |2 . i=1 i=1 Full Screen Close That is, n X (SLE(G) − |γn |)2 ≤ (n − 1) ! |γi |2 − |γn |2 . i=1 Using (2.8) in the above inequality we obtain p SLE(G) ≤ k + (n − 1)(2M1 − k 2 ), Skew Laplacian Energy of Digraphs where k = |γn | and M1 is as in Theorem 2.2. C. Adiga and Z. Khoshbakht vol. 10, iss. 3, art. 80, 2009 Theorem 2.3. We have p 2 |M | ≤ SLE(G) ≤ 2M1 . Title Page Contents Proof. Since Pn i=1 γi = 0, we have n X γi2 +2 i=1 n X γi γj = 0. i<j 2M = −2 γi γj . This implies n n X X 2|M | = 2 γi γj ≤ 2 |γi ||γj |. i<j J I Page 10 of 12 Full Screen i<j (2.10) II Go Back Now, using (2.4) in the above equation we have n X JJ i<j Close Now by (2.4), 2 SLE(G) = n X !2 |γi | = i=1 ≥ 2|M | + 2 n X |γi | + 2 i=1 n X 2 n X |γi ||γj | i<j |γi ||γj |, i<j which combined with (2.10) yields SLE(G)2 ≥ 4|M |. Thus p 2 |M | ≤ SLE(G). To prove the right-hand inequality, note that for a graph with m edges and no isolated vertex, n ≤ 2m. By Theorem 2.2, we have p p p SLE(G) ≤ 2M1 n ≤ 2M1 (2m) = 2 M1 m. Since M1 ≥ m, we obtain SLE(G) ≤ 2M1 . Skew Laplacian Energy of Digraphs C. Adiga and Z. Khoshbakht vol. 10, iss. 3, art. 80, 2009 Title Page Contents JJ II J I Page 11 of 12 Go Back Full Screen Close References [1] C. ADIGA, R. BALAKRISHNAN AND WASIN SO, The skew energy of a graph, (communicated for publication). [2] C. ADIGA AND M. SMITHA, On the skew Laplacian energy of a digraph, International Math. Forum, 39 (2009), 1907–1914. [3] R. GRONE AND R. MERRIS, The Laplacian spectrum of a graph II, SIAM J. Discrete Math., 7 (1994), 221–229. [4] R. GRONE, R. MERRIS AND V.S. SUNDER, The Laplacian spectrum of a graph, SIAM J. Matrix Anal. Appl., 11 (1990), 218–238. Skew Laplacian Energy of Digraphs C. Adiga and Z. Khoshbakht vol. 10, iss. 3, art. 80, 2009 Title Page [5] I. GUTMAN, The energy of a graph: Old and new results, Algebraic Combinatorics and Applications, Springer-Verlag, Berlin 2001, 196–211. [6] I. GUTMAN AND B. ZHOU, Laplacian energy of a graph. Linear Algebra Appl., 414 (2006), 29–37. [7] J. KOOLEN AND V. MOULTON, Maximal energy graphs, Adv. Appl. Math., 26 (2001), 47–52. [8] B. ZHOU AND I. GUTMAN, On Laplacian energy of graphs, MATCH Commun. Math. Comput. Chem., 57 (2007), 211–220. [9] B. ZHOU, I. GUTMAN AND T. ALEKSIC, A note on Laplacian energy of graphs, MATCH Commun. Math. Comput. Chem., 60 (2008), 441–446. Contents JJ II J I Page 12 of 12 Go Back Full Screen Close