On the Multiplicative Degree Based Topological Indices of Circulant Graph

Author(s): Ghulam Hussain1, Saba Noreen2, Waseem Khaild1
1Department of Mathematics, The University of Lahore, Pakpattan Campus, Pakpattan 57400, Pakistan.
2Department of Mathematics and Statistics, The University of Lahore, Lahore Pakistan.
Copyright © Ghulam Hussain, Saba Noreen, Waseem Khaild. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Abstract

Topological indices are numerical numbers associated with a graph that helps to predict many properties of underlined graph. In this paper we aim to compute multiplicative topological indices of Circulant graph.

Keywords: Zagreb index; Randic index; Polynomial; Degree; Graph.

1. Introduction

A number, polynomial or a matrix can uniquely identify a graph. A topological index is a numeric number associated to a graph which completely describes the topology of the graph, and this quantity is invariant under the isomorphism of graphs. The degree-based topological indices are derived from degrees of vertices in the graph. These indices have many correlations to chemical properties. In other words, a topological index remains invariant under graph isomorphism. The study of topological indices, based on distance in a graph, was effectively employed in 1947 in chemistry by Weiner [1]. He introduced a distance-based topological index called the “Wiener index” to correlate properties of alkenes and the structures of their molecular graphs. Recent progress in nano-technology is attracting attention to the topological indices of molecular graphs, such as nanotubes, nanocones, and fullerenes to cut short experimental labor. Since their introduction, more than 140 topological indices have been developed, and experiments reveal that these indices, in combination, determine the material properties such as melting point, boiling point, heat of formation, toxicity, toughness, and stability [2]. These indices play a vital role in computational and theoretical aspects of chemistry in predicting material properties [3, 4, 5, 6, 7, 8].

Several algebraic polynomials have useful applications in chemistry, such as the Hosoya Polynomial (also called the Wiener polynomial) [9]. It plays a vital role in determining distance-based topological indices. Among other algebraic polynomials, the M-polynomial introduced recently in 2015 [10] plays the same role in determining the closed form of many degree-based topological indices. Other famous polynomials are the first Zagreb polynomial and the second Zagreb polynomial.

A graph \(G\) is an ordered pair \((V, E)\), where \(V\) is the set of vertices and \(E\) is the set of edges. A path from a vertex \(v\) to a vertex \(w\) is a sequence of vertices and edges that starts from \(v\) and stops at \(w\). The number of edges in a path is called the length of that path. A graph is said to be connected if there is a path between any two of its vertices. The distance \(d(u, v)\) between two vertices \(u\) and \(v\) of a connected graph \(G\) is the length of a shortest path between them. Graph theory is contributing a lion’s share in many areas such as chemistry, physics, pharmacy, as well as in industry [11]. We will start with some preliminary facts. The first and second multiplicative Zagreb indices [12], respectively \begin{equation} MZ_{1}(G)=\prod\limits_{u\in V(G)}(d_{u})^{2}, \end{equation} \begin{equation} MZ_{2}(G)=\prod\limits_{uv\in E(G)}d_{u}. d_{u}, \end{equation} and the Narumi-Kataymana index [13] \begin{equation} NK(G)=\prod\limits_{u\in V(G)}d_{u}, \end{equation} Like the Wiener index, these types of indices are the focus of considerable research in computational chemistry [13, 14, 15, 16, 17]. For example, in 2011, Gutman [14] characterized the multiplicative Zagreb indices for trees and determined the unique trees that obtained maximum and minimum values for \(M_{1}(G)\) and \(M_{2}(G)\), respectively. Wang et al. and the last author [17] then extended Gutman’s result to the following index for k-trees, \begin{equation} W^{s}_{1}(G)=\prod\limits_{u\in V(G)}(d_{u})^{s}. \end{equation} Notice that \(s=1,2\) is the Narumi-Katayama and Zagreb index, respectively. Based on the successful consideration of multiplicative Zagreb indices, Eliasi et al. [18] continued to define a new multiplicative version of the first Zagreb index as \begin{equation} MZ^{\ast}_{1}(G)=\prod\limits_{uv\in E(G)}(d_{u}+d_{u}), \end{equation} Furthering the concept of indexing with the edge set, the researhers introduced the first and second hyper-Zagreb indices of a graph [19] as \begin{equation} HII_{1}(G)=\prod\limits_{uv\in E(G)}(d_{u}+d_{u})^{2}, \end{equation} \begin{equation} HII_{2}(G)=\prod\limits_{uv\in E(G)}(d_{u}.d_{u})^{2}, \end{equation} In [20]. Kulli et al. defined the first and second generalized Zagreb indices \begin{equation} MZ^{a}_{1}(G)=\prod\limits_{uv\in E(G)}(d_{u}+d_{u})^{a}, \end{equation} \begin{equation} MZ^{a}_{2}(G)=\prod\limits_{uv\in E(G)}(d_{u}.d_{u})^{a}, \end{equation} Multiplicative sum connectivity and multiplicative product connectivity indices [21] are define as: \begin{equation} SCII(G)=\prod\limits_{uv\in E(G)}\frac{1}{(d_{u}+d_{u})}, \end{equation} \begin{equation} PCII(G)(G)=\prod\limits_{uv\in E(G)}\frac{1}{(d_{u}.d_{u})}, \end{equation} Multiplicative atomic bond connectivity index and multiplicative Geometric arithmetic index are defined as \begin{equation} ABCII(G)=\prod\limits_{uv\in E(G)}\sqrt{\frac{d_{u}+d_{u}-2}{d_{u}.d_{u}}}, \end{equation} \begin{equation} GAII(G)=\prod\limits_{uv\in E(G)}\frac{2\sqrt{d_{u}.d_{u}}}{d_{u}+d_{u}}, \end{equation} \begin{equation} GA^{a}II(G)=\prod\limits_{uv\in E(G)}\left(\frac{2\sqrt{d_{u}.d_{u}}}{d_{u}+d_{u}}\right)^{a} \end{equation}

Definition 1.1. Let \(n\),\(m\), and \(a_{1}, a_{2},…,a_{m}\) be positive integers, where \(1\leq a_{i}\leq \left\lfloor\frac{n}{2}\right\rfloor\) and \(a_{i}\neq a_{j}\) for all \(1\leq i\leq j\leq m\) . An undirected graph with the set of vertices \(V=\{v_{1},v_{2},…,v_{n}\}\) and the set of edges \(E=\{v_{i}v_{i+a_{i}}: 1\leq i\leq n, 1\leq j\leq m\}\) where the indices being taken modulo \(n\), is called the circulant graph, and is denoted by \(C_{n}(a_{1}, a_{2},…,a_{m})\) The graph of \(C_{11}(1, 2, 3)\) is shown in Figure 1.

2. Computational Results

In this section, we present our computational results.

Theorem 2.1. Let \(C_{n}(a_{1}, a_{2},…,a_{m})\) be the Circulant graph. Then

  1. \(MZ^{a}_{1}(C_{n}(a_{1}, a_{2},…,a_{m}))=2(n-1)^{an}\),
  2. \(MZ^{a}_{2}(C_{n}(a_{1}, a_{2},…,a_{m}))= (n-1)^{2an}\),
  3. \(G^{a}AII(C_{n}(a_{1}, a_{2},…,a_{m}))=1\).

Proof. Let \(C_{n}(a_{1}, a_{2},…,a_{m})\) , where \(n=3,4,…,n\) and \(1\leq a_{i}\leq \left\lfloor\frac{n}{2}\right\rfloor\) and \(a_{i}\neq a_{j}\) , when \(n\) is odd to be circulant graph. It is clear form the graph of \(C_{n}(a_{1}, a_{2},…,a_{m})\) that the circulant gaph has only one partition of the vertex set i.e $$V_{1}=\{v\in V(C_{n}(a_{1}, a_{2},…,a_{m})): d_{v}=n\}.$$ The edge partition of \(C_{n}(a_{1}, a_{2},…,a_{m})\) has the following partition, $$E_{1}=E_{n-1,n-1}=\{e=uv\in E(C_{n}(a_{1}, a_{2},…,a_{m})): d_{u}=d_{v}=n-1\}.$$ Now, $$\mid E_{1}(C_{n}(a_{1}, a_{2},…,a_{m}))\mid=n$$ 1. \begin{eqnarray*} MZ^{a}_{1}(C_{n}(a_{1}, a_{2},…,a_{m}))&=& \prod\limits_{uv\in E(G)}(d_{u}+d_{v})^{a}\\ &=&(d_{u}+d_{v})^{a|E(C_{n}(a_{1}, a_{2},…,a_{m}))|}\\ &=& ((n-1)+(n-1))^{an}\\ &=& 2(n-1)^{an}. \end{eqnarray*} 2. \begin{eqnarray*} MZ^{a}_{2}(C_{n}(a_{1}, a_{2},…,a_{m}))&=& \prod\limits_{uv\in E(G)}(d_{u}\times d_{v})^{a}\\ &=&(d_{u}+d_{v})^{a|E(C_{n}(a_{1}, a_{2},…,a_{m}))|}\\ &=& ((n-1)\times (n-1))^{an}\\ &=& (n-1)^{2an}. \end{eqnarray*} 3. \begin{eqnarray*} G^{a}AII(C_{n}(a_{1}, a_{2},…,a_{m}))&=& \prod\limits_{uv\in E(C_{n}(a_{1}, a_{2},…,a_{m}))}\left(\frac{2\sqrt{d_{u}d_{v}}}{d_{u}+d_{v}}\right)^{a}\\ &=&\left(\frac{2\sqrt{d_{u}d_{v}}}{d_{u}+d_{v}}\right)^{a|E_{1}(C_{n}(a_{1}, a_{2},…,a_{m}))|}\\ &=&\left(\frac{2\sqrt{(n-1)^{2}}}{2(n-1)}\right)^{an}\\ &=&1. \end{eqnarray*}

Corollary 2.2. Let \(C_{n}(a_{1}, a_{2},…,a_{m})\) be the Circulant graph. Then

  1. \(MZ_{1}(C_{n}(a_{1}, a_{2},…,a_{m}))=2(n-1)^{n}\),
  2. \(MZ_{2}(C_{n}(a_{1}, a_{2},…,a_{m}))= (n-1)^{2n}\),
  3. \(GAII(C_{n}(a_{1}, a_{2},…,a_{m}))=(1)^{n}=1\).

Proof. We get our result by putting \(\alpha=1\) in the Theorem 2.1.

Corollary 2.3. Let \(C_{n}(a_{1}, a_{2},…,a_{m})\) be the Circulant graph. Then

  1. \(H II_{1}(C_{n}(a_{1}, a_{2},…,a_{m}))=2(n-1)^{2n}\),
  2. \(H II_{2}(C_{n}(a_{1}, a_{2},…,a_{m}))= (n-1)^{4n}\).

Proof. We get our desired results by putting \(\alpha=2\) in Theorem 2.1.

Corollary 2.4. Let \(C_{n}(a_{1}, a_{2},…,a_{m})\) be the Circulant graph. Then

  1. \(X II(C_{n}(a_{1}, a_{2},…,a_{m}))=\left(\frac{1}{\sqrt{2(n-1)}}\right)^{n} \),
  2. \(\chi II(C_{n}(a_{1}, a_{2},…,a_{m}))=\left(\frac{1}{n-1}\right)^{n}\).

Proof. We get our desired results by putting \(\alpha=\frac{-1}{2}\) in Theorem 2.1.

Corollary 2.5. Let \(C_{n}(a_{1}, a_{2},…,a_{m})\) be the Circulant graph. Then $$ABCII(C_{n}(a_{1}, a_{2},…,a_{m}))= \left(\sqrt{\frac{2(n-2)}{(n-1)^{2}}}\right)^{n}. $$

Proof. By using the partition in Theorem 2.1, we have \begin{eqnarray*} ABCII(C_{n}(a_{1}, a_{2},…,a_{m}))&=&\prod\limits_{uv\in E(C_{n}(a_{1}, a_{2},…,a_{m}))}\sqrt{\frac{d_{u}+d_{u}-2}{d_{u}.d_{u}}}\\ &=&\left(\sqrt{\frac{(n-1)+(n-2)-2}{(n-1)^{2}}}\right)^{n} \\ &=& \left(\sqrt{\frac{2(n-2)}{(n-1)^{2}}}\right)^{n}. \end{eqnarray*}

Competing Interests

The authors declare that they have no competing interests.

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