A new version of Zagreb indices. Modjtaba Ghorbani, Mohammad A. Hosseinzadeh. Abstract

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Faculty of Sciences and Mathematics, University of Niš, Serbia Available at: http://www.pmf.ni.ac.rs/filomat Filomat 26:1 2012, 93 100 DOI: 10.2298/FIL1201093G A new version of Zagreb indices Modjtaba Ghorbani, Mohammad A. Hosseinzadeh Abstract v V G uv EG The Zagreb indices have been introduced by Gutman and Trinajstić as M 1G = d Gv 2 and M 2G = d Gud Gv, where d Gu denotes the degree of vertex u. We now define a new version of Zagreb indices as M1 G = [ε Gu ε Gv] and M2 G = ε Guε Gv, where uv EG uv EG ε Gu is the largest distance between u and any other vertex v of G. The goal of this paper is to further the study of these new topological index. 1 Introduction A graph is a collection of points and lines connecting a subset of them. The points and lines of a graph are also called vertices and edges of the graph, respectively. The vertex and edge sets of a graph G are denoted by V G and EG, respectively. A molecular graph is a simple graph such that its vertices correspond to the atoms and the edges to the bonds. Note that hydrogen atoms are often omitted. Chemical graph theory is a branch of mathematical chemistry which has an important effect on the development of the chemical sciences. By IUPAC terminology, a topological index is a numerical value associated with chemical constitution purporting for correlation of chemical structure with various physical properties, chemical reactivity or biological activity. In an exact phrase, if Graph denotes the class of all finite graphs then a topological index is a function T op from Graph into real numbers with this property that T opg = T oph, if G and H are isomorphic. Obviously, the number of vertices and the number of edges are topological index. The Wiener index [13] is the first reported distance based topological index defined as half sum of the distances between all the pairs of vertices in a molecular graph. If x, y V G then the distance d G x, y between x and y is defined as the length of any shortest path in G connecting x and y. For a vertex u of V G its Corresponding Author: mghorbani@srttu.edu 2010 Mathematics Subject Classifications 05C40, 05C90. Key words and Phrases Zagreb indices, composite graph, product graph. Received: September 10, 2010 Communicated by Dragan S. Djordjević

94 M. Ghorbani, M. A. Hosseinzadeh eccentricity ε G u is the largest distance between u and any other vertex v of G, ε G u = max v V G d G u, v. The maximum eccentricity over all vertices of G is called the diameter of G and denoted by DG. The eccentric connectivity index ξg of a graph G is defined as ξg = d G uε G u, u V G where d G u denotes the degree of vertex u in G, i. e., the number of its neighbors in G. When the vertex degrees are not taken into account, we obtain the total eccentricity of the graph G, ζg = u V G ε Gu. For k-regular graphs those two quantities are related as ξg = kζg. We refer the reader to [2, 4, 6, 9, 15] for explicit formulas for the eccentric connectivity index of various families of graphs. A vertex u V G is well-connected if ε G u = 1, i.e., if it is adjacent to all other vertices in G. The Zagreb indices have been introduced more than thirty years ago by Gutman and Trinajstić [8, 7]. They are defined as: M 1 G = v V G d Gv 2 and M 2 G = uv EG d Gud G u. Now we define a new version of Zagreb indices as follows: M1 G = [ε G u ε G v], M 1 G = M 2 G = uv EG v V G uv EG ε G v 2, ε G uε G v. Here, our notation is standard and mainly taken from standard books of graph theory such as, e.g., [14]. All graphs considered in this paper are simple and connected. The aim of this paper is to compute these new topological indices for some graph operations. To do this, we first consider the following examples: Example 1. Let K n be the complete graph on n vertices. Then for every v V K n, ε G v = 1. This implies that ζk n = n, M1 K n = nn 1, M2 K n = nn 1/2 and M1 K n = n. Example 2. Let C n denote the cycle of length n. It is easy to see that for every v V C n, ε G v = n/2. Hence, ζc n = n n 2, M 1 C n = 2n n/2 and M1 C n = M2 C n = n n/2 2. Example 3. Let S n = K 1,n be the star graph with n 1 vertices. The central vertex has degree n and eccentricity 1, while the remaining n vertices have degree

A new version of Zagreb indices 95 1 and eccentricity 2. Hence, ζs n = 2n 1, M 1 S n = 3n, M 2 S n = 2n and M 1 S n = 4n 1. Example 4. A wheel W n is a graph of order n 1 which contains a cycle on n vertices and a central vertex connected to each vertex of the cycle. Again, the central vertex has degree n and eccentricity 1, while the peripheral vertices have degree 3 and eccentricity 2. So, ζw n = 2n 1, M1 W n = 7n, M2 W n = 6n and M1 W n = 4n 1. Example 5. Let P n be the path on n 3 vertices. Then ζp n = { n3n 2/4 2 n n 13n 1/4 2 n, M 1 P n = { 3n 2 6n 4/2 2 n 3n 1 2 /2 2 n, M 2 P n = { nn 27n 10/12 n 2 /4 2 n n 17n 2 14n 3/12 2 n, { M1 nn 17n 2/12 2 n P n = n 17n 2 2n 3/12 2 n. 2 Main Results In this section we define some graph operations [10] and then we compute the Zagreb indices for them. Cartesian product The Cartesian product of two graphs G 1 and G 2 is denoted by G 1 G 2 has the vertex set V G 1 V G 2 and, two vertices u = u 1, u 2 and v = v 1, v 2 are connected by an edge if and only if either [u 1 = v 1 and u 2 v 2 EG 2 ] or [u 2 = v 2 and u 1 v 1 EG 1 ]. In other word, EG 1 G 2 = EG 1 V G 2 EG 2 V G 1. The degree of a vertex u 1, u 2 of G 1 G 2 is as follows: d G1 G 2 u 1, u 2 = d G1 u 1 d G2 u 2. Lemma 6. ε G1 G 2 u 1, u 2 = ε G1 u 1 ε G2 u 2.

96 M. Ghorbani, M. A. Hosseinzadeh Proof. It is clear that the eccentricity of a vertex u 1, u 2 V G 1 G 2 cannot exceed the sum of the eccentricities of its projections u 1 and u 2. On the other hand, this upper bound is attained for w 1, w 2, where w i is the vertex on which εu i is attained, for i = 1, 2. This proves the claim. The Cartesian product of more than two graphs is denoted by s i=1 G i, in which s i=1 G i = G 1... G s = G 1... G s 1 G s. If G 1 = G 2 =... = G s = G, we have the s-th Cartesian power of G and denote it by G s. k Lemma 7.ε k u i=1 G 1,, u k = ε Gi u i. i i=1 Theorem 8. M 2 n G i = 2 n M1 G k n EG k n M2 G k n EG k n n i=1,i k j=1,j i,k n n i=1,i k j=1,j i,k n i=1,i k i,j k V G i n 1 i<j n r=1,r i,j,k V G j ζg i V G j M 1 G i V G r ζg i ζg j. Proof. Let a = a 1,, a k and b = b 1,, b k. Then we have M 2 n G i = = ε n G i aε n G i b ab E n Gi n a 1 V G 1 n ε Gk b k 2 n i,j k 1 i<j n i=1,i k a 1 V G 1 a k b k EG k ε Gi a i a k b k EG k a n V G n n i=1,i k ε Gk a k ε Gi a i 2 a n V G n ε Gk a k ε Gk b k ε Gi a i ε Gj b j.

A new version of Zagreb indices 97 Corollary 9. Let G and H be graphs. Then M2 G H = M1 GζH M1 HζG V H M1 G V G M1 H V H M2 G V G M1 H. Example 10. A Hamming graph H n1,n 2,,n s is defined as H n1,n 2,,n s = s i=1k ni. s s So, M2 H n1,n 2,,n s = s 2 nk n i. For n 1 = n 2 = n s = 2, we achieve 2 i=1,i k the s-dimensional hypercubes Q s and so, M 2 Q s = s 3 2 s 1. Example 11. Nanotubes and nanotori covered by C 4 are arisen as Cartesian product of a path and a cycle, two cycles, respectively. By Combining examples 2 and 5 with Corollary 9 we obtain the following explicit formulas for nanotubes and nanotori. We denote R = P n C m and S = C k C m and assume n 3. Then M2 R = 2n 1m m/2 2 3n 2 4n 2m m/2 nm7n 2 15n 11/6 2 n 2n 1m m/2 2 n 13n 1m m/2 nmn 17n 8/6 2 n M2 S = 2km m/2 2 k/2 2 2 m/2 k/2., Disjunction and Symmetric Difference The disjunction G 1 G 2 of two graphs G 1 and G 2 is the graph with vertex set V G 1 V G 2 in which u 1, u 2 is adjacent to v 1, v 2 whenever u 1 is adjacent to v 1 in G 1 or u 2 is adjacent to v 2 in G 2. So, EG H = EG V H 2 EH V G 2 2 EG EH. The symmetric difference G 1 G 2 of two graphs G 1 and G 2 is the graph with vertex set V G 1 V G 2 in which u 1, u 2 is adjacent to v 1, v 2 whenever u 1 is adjacent to v 1 in G 1 or u 2 is adjacent to v 2 in G 2, but not both. From definition one can see that EG 1 G 2 = EG 1 V G 2 2 EG 2 V G 1 2 4 EG 1 EG 2. The distance between any two vertices of a disjunction or a symmetric difference cannot exceed 2. If none of the components contains well-connected vertices, the eccentricity of all vertices is constant and equal to 2. Lemma 12. Let G 1 and G 2 be two graphs without well-connected vertices. Then ε G1 G 2 u 1, u 2 = ε G1 G 2 u 1, u 2 = 2. Theorem 13. Let G and H be two graphs without well-connected vertices. Then M2 G H = 4 EG V H 2 EH V G 2 2 EG EH,

98 M. Ghorbani, M. A. Hosseinzadeh Proof. M2 G H = 4 EG V H 2 EH V G 2 4 EG EH. M 2 G H = u 1,u 2v 1,v 2 EG H ε G H u 1, u 2 ε G H v 1, v 2 = 4 EG V H 2 EH V G 2 2 EG EH, M2 G H = ε G H u 1, u 2 ε G H v 1, v 2 u 1,u 2v 1,v 2 EG H = 4 EG V H 2 EH V G 2 4 EG EH. Join The join G = G 1 G 2 of graphs G 1 and G 2 with disjoint vertex sets V 1 and V 2 and edge sets E 1 and E 2 is the graph union G 1 G 2 together with all the edges joining V 1 and V 2. The definition generalizes to the case of s 3 graphs in a straightforward manner. The following result is a direct consequence of the definition of join. Lemma 14. If none of G i, i = 1, 2,, s contains well-connected vertices, then for every u V G 1 G s we have ε G1 G s u = 2. The following formula for the number of edges is verified by induction on s. Lemma 15. EG 1 G s = s EG i 1 2 i=1 s V G i i=1 s j=1,j i V G j. Theorem 16.Let G i i = 1,, s be graphs without well - connected vertices, then M 2 G 1 G s = 4 EG 1 G s. Proof. By using Lemma 15 the proof is clear. Composition The composition G = G 1 [G 2 ] of graphs G 1 and G 2 with disjoint vertex sets V 1 and V 2 and edge sets E 1 and E 2 is the graph with vertex set V G 1 V G 2 and u = u 1, v 1 is adjacent to v = u 2, v 2 whenever u 1 is adjacent to u 2 or u 1 = u 2 and v 1 is adjacent to v 2. So, EG 1 [G 2 ] = EG 1 V G 2 2 EG 2 V G 1. The asymmetric nature of composition is reflected in the fact that the eccentricity of a vertex of G 1 [G 2 ] is mostly inherited from the scaffold graph G 1. The situation is particularly simple when G 1 does not contain any well-connected vertices.

A new version of Zagreb indices 99 Lemma 17. If G 1 does not contain well-connected vertices, then ε G1[G 2]u, v = ε G1 u. Proof. Let us consider two vertices, u 1, u 2 and v 1, v 2 of G 1 [G 2 ]. Consider first the case u 1 u 2. Since d G1[G 2]u 1, u 2, v 1, v 2 = 1 whenever u 1 is adjacent to v 1 in G 1, it is clear that the distance between any two vertices in G 1 [G 2 ] is the same as the distance between their projections to G 1. Moreover, their distances is at least 2. It remains to consider the case u 1 = u 2. If u 2 is not well-connected in G 2, then any other vertex in the same copy of G 2 can still be reached in at most 2 steps. Theorem 18. Let G 1 does not contain well-connected vertices, then Proof. M 2 G 1 [G 2 ] = M 2 G 1 [G 2 ] = V G 2 2 M 2 G 1 EG 2 M 1 G 1. = References u 1,u 2v 1,v 2 EG 1[G 2] u 2,v 2 V G 2 u 1v 1 EG 1 u 1 V G 1 u 2v 2 EG 2 ε G1[G 2]u 1, u 2 ε G1[G 2]v 1, v 2 ε G1 u 1 ε G1 v 1 ε G1 u 1 2 = V G 2 2 M 2 G 1 EG 2 M 1 G 1. [1] A. R. Ashrafi, T. Došlić, M. Saheli, The eccentric connectivity index of T UC 4 C 8 R nanotubes, MATCH Commun. Math. Comput. Chem., to appear. [2] A. R. Ashrafi, M. Ghorbani, M. Jalali, Eccentric connectivity polynomial of an infinite family of Fullerenes, Optoelectron. Adv. Mater. - Rapid Comm. 3 2009 823 826. [3] A. R. Ashrafi, M. Saheli, M. Ghorbani, The eccentric connectivity index of nanotubes and nanotori, J. Comput. Appl. Math. 235 2011 4561 4566. [4] T. Došlić, A. Graovac, O. Ori, Eccentric connectivity indices of hexagonal belts and chains, MATCH Commun. Math. Comput. Chem., to appear. [5] M. Ghorbani, A. R. Ashrafi, M. Hemmasi, Eccentric connectivity polynomials of fullerenes, Optoelectron. Adv. Mater. - Rapid Comm. 3 2009 1306 1308. [6] S. Gupta, M. Singh, A. K. Madan, Application of graph theory: Relationship of eccentric connectivity index and Wiener s index with anti-inflammatory activity, J. Math. Anal. Appl. 266 2002 259 268.

100 M. Ghorbani, M. A. Hosseinzadeh [7] I. Gutman, B. Ruščić, N. Trinajstić, C. F. Wilcox, Graph theory and molecular orbitals. XII. Acyclic polyenes, J. Chem. Phys. 62 1975 3399 3405. [8] I. Gutman, N. Trinajstić, Graph theory and molecular orbitals. Total π-electron energy of alternant hydrocarbons, Chem. Phys. Lett. 17 1972 535 538. [9] A. Ilić, I. Gutman, Eccentric connectivity index of chemical trees, MATCH Commun. Math. Comput. Chem., to appear. [10] W. Imrich, S. Klavžar, Product Graphs: Structure and Recognition, John Wiley and Sons, New York, USA, 2000. [11] S. Sardana, A. K. Madan, Application of graph theory: Relationship of molecular connectivity index, Wiener s index and eccentric connectivity index with diuretic activity, MATCH Commun. Math. Comput. Chem. 43 2001 85 98. [12] V. Sharma, R. Goswami, A. K. Madan, Eccentric connectivity index: A novel highly discriminating topological descriptor for structure-property and structure-activity studies. J. Chem. Inf. Comput. Sci. 37 1997 273 282. [13] H. Wiener, Structural determination of the paraffin boiling points, J. Am. Chem. Soc. 69 1947 17 20. [14] D. B. West, Introduction to Graph Theory, Prentice Hall, Upper Saddle River, 1996. [15] B. Zhou, Z. Du, On eccentric connectivity index, MATCH Commun. Math. Comput. Chem. 63 2010 181 198. Department of Mathematics, Faculty of Science, Shahid Rajaee Teacher Training University, Tehran, 16785-136, I. R. Iran E-mail: mghorbani@srttu.edu Department of Mathematical Science, Sharif University of Technology, Tehran, 11365-9415, I. R. Iran E-mail: ma.hoseinzade@gmail.com