On Degree Sum Energy of a Graph

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EUROPEAN JOURNAL OF PURE AND APPLIED MATHEMATICS Vol. 9, No. 3, 2016, 30-35 ISSN 1307-553 www.ejpam.com On Degree Sum Energy of a Graph Sunilkumar M. Hosamani 1,, Harishchandra S. Ramane 2 1 Department of Mathematics, Rani Channamma University, Belagavi, India 2 Department of Mathematics, Karnatak university, Dharwad, india Abstract. The degree sum energy of a graph G is defined as the sum of the absolute values of the eigenvalues of the degree sum matrix of G. In this paper, we obtain some lower bounds for the degree sum energy of a graph G. 2010 Mathematics Subject Classifications: 05C50 Key Words and Phrases: Spectrum, Energy, Degree sum energy 1. Introduction We consider finite, undirected and simple graphs G with vertex set V(G) and edge set E(G). Let G=(V, E) be a graph. The number of vertices of G we denote by n and the number of edges we denote by m, thus V(G) = n and E(G) = m. The degree of a vertex v, denoted by d i. Specially, = (G) andδ=δ(g) are called the maximum and minimum degree of vertices of G respectively. G is said to be r-regular ifδ(g)= (G)= r for some positive integer r. For any integer x, x is the positive integer less than or equal to x. For undefined terminologies we refer the reader to[5]. The energy E(G) of a graph G is equal to the sum of the absolute values of the eigenvalues of the adjacency matrix of G. This quantity, introduced almost 30 years ago[6] and having a clear connection to chemical problems, has in newer times attracted much attention of mathematicians and mathematical chemists[3, 7 9, 13 15]. Motivated by work on maximum degree energy[1], Ramane et al. [12] introduced the concept of degree sum energy, which is defined as follow: Definition 1. Let G be a simple graph with n vertices v 1, v 2,..., v n and let d i be the degree of v i, i= 1,2,..., n. Then DS(G)=[d i j ] is called the degree sum matrix of a graph G, where di + d j if i j; d i j = 0 otherwise. Corresponding author. Email addresses: sunilkumar.rcu@gmail.com (S. Hosamani),hsramane@yahoo.com (H. Ramane) http://www.ejpam.com 30 c 2016 EJPAM All rights reserved.

S. Hosamani and H. Ramane/Eur. J. Pure Appl. Math, 9 (2016), 30-35 31 The characteristic polynomial of DS(G) is denoted by f n (G,λ) := det(λi DS(G)). Since DS(G) is real and symmetric, its eigenvalues are real numbers and we label them in nonincreasing orderλ 1 λ 2 λ n. The maximum degree energy of G is then defined as E DS (G)= λ i. In this paper, we are interested in to obtain some new lower bounds for the degree sum energy of a graph G. 2. Results For the sake of completeness, we mention below some results which are important throughout the paper. Lemma 1 ([12]). Since trace(ds(g))=0, the eigenvalues of DS(G) satisfied the following relations (1) λ i = 0 (2) λ 2 i= 2, where= 1 i<j n (d i + d j ) 2 Lemma 2 ([12]). If G is any graph with n vertices, then 2 E DS (G). Theorem 1 ([11]). Suppose a i and b i, 1 i nare positive real numbers, then a 2 i bi 2 1 M 1 M 2 m 1 m 2 2 2 + a i b i (1) m 1 m 2 M 1 M 2 where M 1 = max (a 1 i n i ); M 2 = max (b 1 i n i ); m 1 = min (a 1 i n i ) and m 2 = min (b 1 i n i ) Theorem 2 ([10]). Let a i and b i, 1 i nare nonnegative real numbers, then a 2 i bi n 2 2 n 2 2 a i b i M1 M 2 m 1 m 2 (2) where M i and m i are defined similarly to Theorem 1. Theorem 3 ([2]). Suppose a i and b i, 1 i nare positive real numbers, then n a i b i a i b i α(n)(a a)(b b) (3) where a, b,a and B are real constants, that for each i, 1 i n, a a i A and b b i B. Further,α(n)= n n 2 1 1 n n 2.

S. Hosamani and H. Ramane/Eur. J. Pure Appl. Math, 9 (2016), 30-35 32 Theorem ([]). Let a i and b i,1 i nare nonnegative real numbers, then bi+ 2 rr ai (r+ 2 R) n a i b i where r and R are real constants, so that for each i, 1 i n, holds, ra i b i Ra i. () 3. Bounds for the Degree Sum Energy of Graphs Theorem 5. Let G be a graph of order n and size m, then E DS (G) 2n n2 (λ 1 λ n ) 2 (5) whereλ 1 andλ n are maximum and minimum of the absolute value ofλ i s. Proof. Supposeλ 1,λ 2,...,λ n are the eigenvalues of DS(G). We assume that a i = 1 and b i = λ i, which by Theorem 2 implies as asserted. 1 2 λ i 2 n λ i 2 n 2 2 λ1 λ n 2n (E DS (G)) 2 n2 2 λ1 λ n E DS (G) 2n n2 (λ 1 λ n ) 2, Theorem 6. Suppose zero is not an eigenvalue of DS(G). Then E DS (G) 2 λ 1 λ n 2n λ 1 +λ n. (6) whereλ 1 andλ n are minimum and maximum of the absolute value ofλ i s. Proof. Supposeλ 1,λ 2,...,λ n are the eigenvalues of DS(G). We assume that a i = λ i and b i = 1, which by Theorem 1 implies λ i 2 1 2 1 λn λ1 2 + λ i 2 λ 1 as desired. 2n 1 (λ 1 +λ n ) 2 λ n λ 1 λ n (EDS (G)) 2 E DS (G) 2 λ 1 λ n 2n λ 1 +λ n,

S. Hosamani and H. Ramane/Eur. J. Pure Appl. Math, 9 (2016), 30-35 33 Theorem 7. Let G be a graph of order n and size m. Letλ 1 λ 2 λ n be a non-increasing arrangement of eigenvalues of DS(G). Then whereα(n)= n n 2 1 1 n n 2. E DS (G) 2n α(n)( λ 1 λ n ) 2 (7) Proof. Supposeλ 1,λ 2,...,λ n are the eigenvalues of DS(G). We assume that a i = λ i = b i, a= λ n = b and A= λ 1 = b, which by Theorem 3 implies Since, E DS (G)= λ i, n 2 λ i 2 λ i α(n)( λ 1 λ n ) 2 (8) λ i 2 = 2, the above inequality becomes 2n E DS (G) 2 α(n)( λ 1 λ n ) 2 and a simple calculation gives us the required result. Corollary 1. Sinceα(n) n2, then according to (7), we have E DS (G) 2n α(n)( λ 1 λ n ) 2 2n n2 ( λ 1 λ n ) 2. This means that inequality (7) is stronger of inequality (5). Theorem 8. Let G be a graph of order n and size m. Letλ 1 λ 2 λ n be a non-increasing arrangement of eigenvalues of DS(G). Then E DS (G) λ 1 λ n n+2 λ 1 + λ n (9) whereλ 1 andλ n are minimum and maximum of the absolute value ofλ i s. Proof. Supposeλ 1,λ 2,...,λ n are the eigenvalues of DS(G). We assume that b i = λ i, a i = 1, r= λ n and R= λ 1, which by Theorem implies Since, E DS (G)= λ i 2 = 2, from (10), inequality (9) directly follows from Theorem. λ i, λ i 2 + λ 1 λ n i=n 1 ( λ 1 + λ n ) λ i. (10)

REFERENCES 3 ACKNOWLEDGEMENTS This work is supported by the Science and Engineering Research Board, New Delhi India under the Major Research Project No. SERB/F/168/2012-13 Dated 03.10.2013. References [1] C. Adiga and M. Smitha. On maximum degree energy of a graph. International Journal of Contemporary Mathematical Sciences, (8). 385 396. 2009. [2] M. Biernacki, H. Pidek, and C. Ryll-Nardzewsk. Sur une iné galité entre des intégrales définies. Maria Curie SkÅĆodowska University, A, 1-. 1950. [3] V. Consonni and R. Todeschini. New spectral index for molecule description. MATCH Communications in Mathematical and in Computer Chemistry, 60, 3-1. 2008. [] J. B. Diaz and F. T. Metcalf. Stronger forms of a class of inequalities of G. Pólya-G.Szegő and L. V. Kantorovich. Bulletin of the AMS - American Mathematical Society, 69, 15-18. 1963. [5] F. Harary. Graph Theory, Addison-Wesley, Reading, 1969. [6] I. Gutman. The energy of a graph. Berlin Mathmatics-Statistics Forschungszentrum, 103, 1-22. 1978. [7] I. Gutman and O. E. Polansky. Mathematical Concepts in Organic Chemistry, Springer- Verlag, Berlin, 1986. [8] G. Hossein, F. Tabar, and A. R. Ashrafi. Some remarks on Laplacian eigenvalues and Laplacian energy of graphs. Mathematical Communications, 15(2), 3-51. 2010. [9] I. Ž. Milovanovć, E. I. Milovanovć, and A. Zakić. A short note on graph energy. MATCH Communications in Mathematical and in Computer Chemistry, 72, 179-182. 201. [10] N. Ozeki. On the estimation of inequalities by maximum and minimum values. Journal of College Arts and Science, Chiba University, 5, 199-203. 1968. (in Japanese) [11] G. Pólya and G. Szegő. Problems and Theorems in analysis. Series, Integral Calculus, Theory of Functions, Springer, Berlin, 1972. [12] H. S. Ramane, D. S. Revankar, and J. B. Patil. Bounds for the degree sum eigenvalues and degree sum energy of a graph. International Journal of Pure and Applied Mathematical Sciences, 6(2), 161-167. 2013. [13] I. Shparlinski. On the energy of some circulant graphs. Linear Algebra and its Applications, 1, 378-382. 2006. [1] N. Trinajstić. Chemical graph theory. N. Trinajstic, Chemical Graph Theory, Vol. 2, CRC Press, Boca Raton, Florida, 1983.

REFERENCES 35 [15] B. Zhou. Energy of a graph. MATCH Communications in Mathematical and in Computer Chemistry, 51, 111-118. 200.