Distance-based topological polynomials and indices of friendship graphs.

Drugs and chemical compounds are often modeled as graphs in which the each vertex of the graph expresses an atom of molecule and covalent bounds between atoms are represented by the edges between their corresponding vertices. The topological indicators defined over this molecular graph have been shown to be strongly correlated to various chemical properties of the compounds. In this article, by means of graph structure analysis, we determine several distance based topological indices of friendship graph [Formula: see text] which is widely appeared in various classes of new nanomaterials, drugs and chemical compounds.

Background

Recent years have witnessed the rapid development in nanomaterials and drugs, which keeps in pace with the development of pharmacopedia. Because of the new issues raised by it, there is a need to test the physical, chemical and biological properties of these new chemical compounds, nanomaterials and drugs, which make the researchers’ workload increased much. Besides, to guarantee the effective results of the research, enough adequate equipment, reagents and human resources are needed to test the performance and the side effects of presented chemical compounds, nanomaterials and drugs. Nevertheless, funds in developing countries (like some countries in Southeast Asia, South America and Africa) are unable to afford the relevant equipment and reagents. Thanks to the contributions from the previous research which discovered that the chemical characteristics of chemical compounds, nanomaterials and drugs and their molecular structures are closely related. Simply speaking, it would benefit the medical and pharmaceutical scientists by providing supports to understand the properties of these chemical compounds, nanomaterials and drugs, if we learn their indicators based on the topological indices. This also helps to make up the experiments shortages. In this way, it can be predicted that the techniques on topological index computation will be welcomed by developing countries by providing the medical and biological information of new chemical compounds, nanomaterials and drugs without chemical experiment conditions.

In the graph computation model, the structure of chemical compounds, nanomaterials and drugs are described as a graph. Every atom are described by an individual vertex, and the chemical bond among them described by the edge. Let G be a graph which corresponds to a chemical structure with atom (vertex) set and chemical bond (edge) set . The distance between vertices u and v, or , in a graph is the number of edges in a shortest path connecting them and the diameter of a graph G, is the longest topological distance in G. The degree or d of a vertex is the number of vertices of G adjacent to v. A vertex is said to be isolated, pendent, or fully connected if ; , or , respectively.

A topological index can be described as a real-valued map which maps each chemical structure to certain real numbers. For decades, in order to test the features of chemical molecules, some indices like PI index, Wiener index, Harmonic index and Zagreb index are proposed. Meanwhile, some papers also devote to computing these topological indices of special molecular graph in chemical and pharmaceutical engineering.

The Wiener index of G was introduced by chemist Harold Wiener in 1947 to demonstrate correlations between physicochemical properties of organic compounds and the index of their molecular graphs and is defined as follows (Wiener 1947):

In 1993 he Hyper-Wiener index is one of distance-based graph invariants, (based structure descriptors), used for predicting physico–chemical properties of organic compounds. The Hyper-Wiener index was introduced by M. Randić. The Hyper Wiener index of G is defined as follow (Wiener 1948; Randić 1993; Randić et al. 1994):respectively.

The Hosoya polynomial was first introduced by H. Hosoya, in 1988 (Hosoya 1989) and define as follows:

In references (Polansky and Bonchev 1986; Sridhara et al. 2015; Gao et al. 2016a, b; Gao and Farahani 2016; Schultz 1989; Muller et al. 1990; Gutman and Polansky 1986; Trinajstic 1993; Klavžar and Gutman 1996; Gutman and Klavžar 1997; Hua 2009; Deng 2007; Chen et al. 2008; Zhou 2006), some properties and more historical details of the Wiener and Hyper Wiener indices and the Hosoya polynomial of molecular graphs are studded.

For more details on applications and mathematical properties of this topological based structure descriptor (the Wiener and Hyper-Wiener indices and the Hosoya polynomial) see paper series (Wiener 1948; Randić 1993; Randić et al. 1994; Hosoya 1989; Polansky and Bonchev 1986; Sridhara et al. 2015; Gao et al. 2016a, b; Gao and Farahani 2016).

In 1989, H.P. Schultz introduced a graph theoretical descriptor for characterizing alkanes by an integer number. The “Schultz molecular topological index” (MTI) of the graph G is defined as follows (Schultz 1989; Muller et al. 1990) where two N × N matrixes A and D are the adjacency and distance matrixes of G (Gutman and Polansky 1986; Trinajstic 1993). is the vector of the degrees of the vertices of G. The (i, j)-th entry of the distance matrix D, denoted by D, is just the distance between the vertices i and j, namely the length of a shortest path connecting i and j (Gutman and Polansky 1986; Trinajstic 1993). Recall that the degree d of the vertex p is the number of first neighbors of this vertex or, what is the same, the sum of the entries of the i-th column of A. Note that in the mathematical literature instead of “degree” the name “valency” is sometimes used, which, of course, should be distinguished from valency in chemistry (Klavžar and Gutman 1996; Gutman and Klavžar 1997).

The Wiener index (or Wiener number) of a connected graph G is equal to the sum of distances between all pairs of vertices of G:

For the recent results on the Schultz molecular topological index see (Klavžar and Gutman 1996; Gutman and Klavžar 1997; Hua 2009; Deng 2007; Chen et al. 2008; Zhou 2006).The degree distance of G is defined aswhere and are degrees of vertices u and v of G. The degree distance seems to have been considered first in connection with certain chemical applications by Dobrynin and Kochetova (1994) and at the same time by Gutman (1994) in 1994, who named this degree distance index by the Schultz index. This name was eventually accepted by most other authors [see, e.g., (Zhou 2006; Ilic et al. 2010; Dobrynin 1999; Schultz and Schultz 2000)] and recently we denote the Schultz index of G by Sc(G).

Later in 1997, Klavžar and Gutman defined other basic structure descriptors. The modified Schultz index of G is defined as:

Now, there are two topological polynomials of a graph G (Gutman 1994) as follows:andObviously,andSeveral contributions on these indices or related indices can be referred to (Iranmanesh and Alizadeh 2009a, b; Alizadeh et al. 2009; Halakoo et al. 2009; Heydari 2010; Hedyari 2011; Farahani and Vlad 2012; Farahani 2013a, b, c; Farahani 2014; Farahani et al. 2015, 2016; Farahani and Gao 2015; Gao and Farahani 2016; Bokhary et al. 2016; Imran et al. 2016).

The friendship graph is the graph obtained by taking n copies of the cycle graph with a vertex in common. It is denoted by (Kanna et al. 2016). Friendship graph contains vertices and edges as shown in the figures.

As we mentioned, the new nano materials and drugs are pretty useful in developing areas, and the topological indices are helpful to test the chemical properties of them. In this paper, we present the distance based indices of friendship graph . The results we obtained here show promising prospects of the application in material and chemical engineering.

Main results

Theorem 1

Letbe the friendship graph. Then the Hosoya polynomial and the Wiener index ofare equal to:and

Proof of Theorem 1 Consider the friendship graph deposit in Fig. 1 and be defined as above, with vertices and edges.

Fig. 1

Some examples of friendship graph (in order , , , respectively)

According to Fig. 1 and definition of the friendship graph we know that one of center vertex of has degree and other vertices have degree 2. And obviously,

Also, from Fig. 1 and the edge set of the friendship graph , one can see that there are 1-edge-paths between only center vertex and all other vertices with degree 2 and for all two vertices with degree 2, there are 1-edge-paths. Thus the coefficient of the first term of the Hosoya polynomial of friendship graph is equal to the number of its edges.

For the second term of the Hosoya polynomial of , we see that there are 2-edge-paths between all pair of vertices with degree 2. So, the coefficient of the second term of the Hosoya polynomial is equal to .

Here, by what have been mentioned above, we have following computations for the Hosoya polynomial of friendship graph and alternatively the wiener index of .andBy definition of the Hosoya polynomial of an arbitrary graph G with vertices, it is easy to see thatIn particular, for , it is easy to see thatAnd these complete the proof of Theorem 1.

Theorem 2

The Hyper-Wiener index of the friendship graphis equals to:

Proof of Theorem 2 Consider the friendship graph deposit in Fig. 1. By using the above proof and the Wiener index of friendship graph , we see that

Theorem 3

Letbe the friendship graph. Then,

The Schultz polynomial ofis equal to

The modified Schultz polynomial ofis equal to

Proof of Theorem 3 Consider the graph of depicted in Fig. 1. Using the definition of and the results from the proof of Theorem 1, the number of all distinct types of 1 and 2-edge-paths are given in the Table 1. On the other hand, from the definitions of the Schultz and modified Schultz polynomials of a graph , we can obtain the and by inserting the coefficient and in the Hosoya polynomial.

Table 1

The number of all distinct types of 1 and 2-edge-paths

i-edge-paths	Degrees of vertices uv	Coefficient	Term of Schultz polynomial	Term of modified Schultz polynomial
1	2n	2n	2n(n+2)	4n 2
1	22	n	4n	4n
2	2n	0	0	0
2	22	2n(n−1)	8n(n−1)	8n(n−1)

Here, we have following computations for the Schultz and modified Schultz polynomials of friendship graph Now, the proof of theorem is completed.

Theorem 4

Letbe the friendship graph, then

The Schultz index of the friendship graphis equal to

The modified Schultz index of the friendship graphis equal to

Proof of Theorem 4 By definitions of the Schultz and modified Schultz indices, we know thatAnd also modified Schultz indexHere, we complete the proof of the Theorem 4.

Conclusions

In this article, by means of graph structure analysis, we have determined the several distance-based topological indices of friendship graph which is widely appeared in various classes of new nanomaterials, drugs and chemical compounds. These results will be helpful to understand the underlying molecular topologies of these graphs.