Granthaalayah
ON THE LANZHOU INDEX OF GRAPHS

ON THE LANZHOU INDEX OF GRAPHS

 

Qinghe Tong 1Icon

Description automatically generated, Chengxu Yang 2Icon

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1 School of Mathematics and Statistics, Qinghai Normal University, Xining, Qinghai 810008, China

2 School of Computer, Qinghai Normal University, Xining, Qinghai 810008, China

 

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ABSTRACT

Let be a simple, connected, and nontrivial graph with vertex set  and edge set.The Lanzhou index of a graph  is defined by , where  is degree of the vertex v in .  In a chemical graph theory, the topological index can help determine chemical, biological, pharma-cological, toxicological, and technically relevant information on molecules. In this paper, we get exact formulas for , where  is some certain chemical graphs, like silicate, chain silicate, oxide,  and graphene networks. Moreover, we determine the Lanzhou index of several graph operations.

 

Received 29 October 2022

Accepted 30 November 2022

Published 10 December 2022

Corresponding Author

Chengxu Yang, cxuyang@aliyun.com

DOI10.29121/granthaalayah.v10.i11.2022.4916   

Funding: This research received no specific grant from any funding agency in the public, commercial, or not-for-profit sectors.

Copyright: © 2022 The Author(s). This work is licensed under a Creative Commons Attribution 4.0 International License.

With the license CC-BY, authors retain the copyright, allowing anyone to download, reuse, re-print, modify, distribute, and/or copy their contribution. The work must be properly attributed to its author.

 

Keywords: Lanzhou Index, Silicate Network, Graph operation

 

 

 


1. INTRODUCTION

In this paper, we consider simple, connected, and finite graphs. For a vertex , the number of all edge incidents with  is denoted by , the maximum (minimum) degree of  is denoted by  

Moreover, we let

 and .

The topological index is very useful in chemistry, its value is related to the molecular structure-activity of the compound. The first Zagreb index  and the second Zagreb index , introduced by Kazemi in Kazemi and Behtoei (2017), are defined as

 

 

Furtula and Gutman in Furtula and Gutman (2015) introduced the forgotten index of , which is defined by

 

  

 

         After that, Vukičević et al. Vukičević et al. (2018). introduced an index named by Lanzhou index, which is defined as

 

 

2. Results for line graphs

Let  =  be the line graph of . The vertex of corresponds to the edge of . Two vertices of   are adjacent if and only if the corresponding edge of  is adjacent. Then we have . Line graphs are widely used in the field of chemistry. For example, Nadeem studied  and   indices of the line graph of the wheel, tadpole in paper Nadeem et al. (2015). Randić found that the connectivity index of a line graph in some molecular graph is highly correlated with some physicochemical properties. Gutman further proposed the application of line graphs in physical chemistry. All this mean that in the field of topology, line graph is extremely important in the study of chemistry and physics. By definition of line graph, we have the following observation. From the definitions, the following observation is immediate.

 

2.1. Results for line graphs

Observation 1.  Let  be a graph, for , and , we have

 

  and  .

 

Theorem 2.1.   Vukičević et al. (2018). Let  be a connected graph of order .  Then we have . The inequality is satisfied if and only if   is either complete or empty graph.

 

 

Theorem 2.2.  

Let   be a connected graph with order   and  . Then

 

 

With right equality holding if and only if and only if  is a regular graph and the lower bound is sharp.

Proof.  For the up bound, by definition of Lanzhou index, we have

 

     

 

With equality holds if and only if  is a regular graph.

 In addition, for the lower bound, from Theorem 2, it follows that . Let  is  or  or star graph , it follows that  is an empty graph or a complement graph, from theorem 2, we have. So, the lower bound is sharp.

 

2.2. Results for line graph of graphene sheet

Graphene  is a 2-dimensional layer of pure carbon. Line graph of graphene is shown below in Figure 1

Figure 1

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Figure 1

 

Theorem 2.3. Let  are two integers, , and let  be a molecular graph of graphene with  rows and  columns. Then

 

 

Proof. For , we have , , , and . Let . From the definition of Lanzhou index, we have that

 


Similarly, for , we have , , and . Let . Hence

 

 

2.3. Results for line graph of DENDRIMER STARS

Nanostar dendrimers are generally synthesized by divergent or convergent methods. It is a kind of hyperbranched nanostructures.   and  are the line graph of three dendrimers and widely appear in drug structure, see Figure 2, Figure 3, Figure 4.

Figure 2

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Figure 2 Line Graph of Nanostar Dendrimer

 

Figure 3

                                                               

Figure 3 Line Graph of Nanostar Dendrimer

 

  Figure 4

                                                                      

Figure 4 Line Graph of Nanostar Dendrimer

 

Theorem 2.4. Let  are two integers. Then the Lanzhou index of line graphs of three infinite classes ,  and  of dendrimer stars are

 

Where  is the number of steps of growth of these three families of dendrimer stars.

Proof. For , we have , , , and . Let . We have

 

 

Similarly, for , we have , ,  and . Let .  Then we have

 

 

For , we have , , , and . Let . By the definition of Lanzhou index, we have

 

 

3. Results for CHAIN SILICATE NETWORKS GRAPH

In this section, we consider a family of chain silicate networks. This network is denoted by  and is obtained by arranging  tetrahedral linearly, see Figure 5.

Figure 5

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Figure 5

 

We refer the reader to article Kazemi and Behtoei (2017) for some aspects of the parameters of silicate networks. Obviously, for any silicate networks ,  and .

 

Theorem 3.1. Let  be a positive integer, for an n-long silicate networks , we have  

Proof.  Obviously, . Note that  is consist of n tetrahedrons which connected by linear chains. Then we have  and . Let ,

we get

 

 

Define the honeycomb network as.    is number of layers from the center to the boundary in . We use a honeycomb network to constructe the silicate network  by placing silicon ions on all the vertices of , and dividing the edges and placing oxygenions on the new vertices, last placing oxygenions at the pendent vertices, where the silicate network  defined as  . When , the silicate network is as follow.

Figure 6

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Figure 6

 

Obviously, for the silicate networks ,  we have and  . The set of edges can decompose as three types:

 

Type (1):

Type (2):

Type (3):

 

Clearly, we have .

 

Theorem 3.2. For , the Lanzhou index of hexagons with size  is

Proof. For , we have ,  and . Let . By the definition of Lanzhou index, we have that

 

 

4. RESULTS FOR SIERPIńSKI GRAPHS

Graphs are widely used in topology, psychology, and probability Hinz and Schief (1990), Kaimanovich (2001), Klix and Goede (1967).The sierpiński graphs  was introduced by Pisanski et al. in  Pisanski and Tucker (2001).

Let  be the vertex set of , , . The edge  is between two vertices  and . If there is an integer  such that

 

 

The Sierpiński graph   is shown in Figure 7.

 

Theorem 4.1. The Lanzhou index of Sierpiński graph  (also named the Tower of Hanoi with n disks) () is .

Proof. Let . Obviously, the degree of vertex  is either 2 or 3. It is clear that  and . Then

 

 

The Sierpiński gasket graphs are extended versions of the Sierpiński graph. In 2008, Alberto and Anant introduced Sierpiński gasket graph Teguia and Godbole (2006). The sierpiński gasket  is obtained by shrinking all bridge edges of . Sierpiński gasket  is shown in Figure 8.

Figure 7

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Figure 7   

 

Figure 8

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Figure 8

                              

Theorem 4.2. The Lanzhou index of Sierpiński gasket graph  is

Proof. In Sierpi´nski gasket graph , ,  , and the set of edges can decompose as two types:

 

Type (1):

Type (2):

Clearly, we have .

 

Let , by the definition of Lanzhou index, for , we have , .    . Then we have

 

 

Theorem 4.3. The Lanzhou index of Sierpiński gasket graph   is

 

Proof, there are  vertices in . The number of   degree vertex is , and the number of  degree vertex is . Next, we consider the vertex in the complement graph of . In , the number of  degree vertex is , and there are  vertices with degree . Note that  and . Let . Then we have

 

The Sierpiński Gasket Rhombus of level  is defined by , which obtained by identifying the edges in two copies of  along one of their sides and  Sierpiński Gasket Rhombus  show in Figure 9.

Figure 9

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Figure 9 Sierpiński Gasket Rhombus

 

Theorem 4.4. If  is a Sierpiński Gasket Rhombus graph. Then

 

.

 

Proof. Note that  , , , , , and . Let  and , clearly, .  Therefore, we have

 

 

5. LANZHOU INDEX OF CACTUS CHAINS NETWORKS

The Cactus chain is a simple connected graph. Husimi and Riddell first studied the Cactus graph in Husimi (1950).  These graphs are widely used in many fields such as the theory of electrical and communication networks Zmazek and Zerovnik (2005). and in chemistry Zmazek and Zerovnik (2003).

 

Theorem 5.1. The Lanzhou index of different types of Cactus graphs.

Use  represent the chain triangular graph (See Figure 9). Then .

  Use  represent the para-chain square cactus graph (See Figure 10). Then .

Use  represent the para-chain square cactus graph (See Figure 11). Then .

Use  represent the Ortho-chain graph (See Figure 12).Then  

Use  represent the para-chain hexagonal cactus graph (See Figure 13). Then .

Use  represent the Meta-chain hexagonal cactus graph (See Figure 14). Then .

 

Figure 10

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Figure 10

 

Figure 11                                                             

                                                                     

Figure 11

 

Figure 12

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Figure 12

 

  Figure 13

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Figure 13

 

Figure 14

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Figure 14

 

  Figure 15

                                                                     

Figure 15

 

Proof.

1)    Note that , , , and . Therefore, we have

 

2)     Note that there are four edges with end-vertex of degree 2. Also there are edges with end-vertex of degree 2 and 4. So we have ,  and .Therefore, we have

 

 

3)     Note that there are  edges with end-vertexs of degree 2, there are  edges with end-vertexs of degree 2 and 4, and there are  edges with end-vertexs of degree 4. Then we have , ,  and  .Therefore, we have

 

 

4)     There are  edges with end-vertex  of degree 2, there are  edges with end-vertex of degree 2 and 4, and there are  edges with end-vertex  of degree 4. Then we have, ,  and . Therefore, we have

 

5)    Since   and ,  Then we have

 

 

6)    Since  ,  and . Then, we have

 

 

6. RESULTS FOR SOME OPERATIONS

For any integer , the k-subdivision of  is denoted by   which is constructed by replacing each edge of  with a path of length . Then, we have following result about the Lanzhou index of k-subdivision of graph .

 

Theorem 6.1. Let  be a graph with order  size  , . For every . We have

 

.

 

Proof. There are  edges with end-vertex of degree 2 and . Also, there are  edges with end-vertex of degree 2 and 2. Therefore, we have

 

By the proof of Theorem 13, we get Observation as below.

 

Observation 2. Let . Then we have

.

We next describe some common binary operations defined on graphs. In the following definitions, let   and  are two graphs with disjoint vertex sets. The join  of  and  has vertex set  and edge set

 

.

 

By the definition of join operation and the definition of Lanzhou index, we have following observation.

 

Observation 3. Let   and  are two graphs with order  and , respectively. Then we have

 

 

Theorem 6.2. Let  be a graph with order  and size , and let H be a graph with order  and size . Then we have

 

.

 

where .

 

Proof. From Observation 16, we have that

 

 

It is obviously, we have that

 

So, we have following equation.

 

                

                                                                                                                                                                                                                                                                Equation 1

 

It is obviously that

 

 

 

 

 

So, we get equation

 

                                                    Equation 2

 

It is obviously that

 

 

So, we get equation

           

                                                                                                                                                                                                                                                                Equation 3

 

Similarly, we get equation

             

                                                                                                                                                                                                                 Equation 4

 

By equation Equation 1, Equation 2, Equation 3, and Equation 4, we have

 

.

Where .

 

Let  be a graph with order . The Corona of  and  is defined as the graph obtained by taking one copy of graph  and taking n copy of graph , then, join ith vertex of  to the vertexs in the i th copy of .

 

Observation 4. Let  and  be two graphs,   and . Then we have

 

By Observation 18, we have result as below.

 

Theorem 6.3. Let  be a graph with order  and size , and let  be a graph with order  and size . Then we have Let

 

.

where

.

Proof. By Observation 18, it follows that

 

 

It obviously that

 

 

So, we have following equation

 

          

                                                                                                                                                                                                                  Equation 5

Since that

 

So, it follows that

 

        

                                                                                                                                                                                                                                                                Equation 6

 

 

 

Since that

 

 

So, it follows that

 

               

                                                                                                                                                                                                                                                                              

                                                                                                                                                                                                                                                                Equation 7

Since that

 

 

So, it follows that

 

                       

                                                                                                                                                                                                                                                                Equation 8

Since that

 

 

So, it follows that

 

                                                                                    

                                                                                                                                                                                                                                                                Equation 9

Since that

 

So, it follows that

 

                                         

                                                                                                                                                                                                                                                             Equation 10

 

By Equation 5, Equation 6, Equation 7, Equation 8, Equation 9, and Equation 10, we have that

 

.

 

where .

 

CONFLICT OF INTERESTS

None. 

 

ACKNOWLEDGMENTS

The third author was supported by the National Science Foundation of China (Nos. 11601254, 11551001, 11161037, 61763041, 11661068, and 11461054) and the Qinghai Key Laboratory of Internet of Things Project (2017-ZJ-Y21).

 

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