ON THE LANZHOU INDEX OF GRAPHS
Qinghe Tong 1, Chengxu Yang 2, Wen Li 2
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 |
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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. |
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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
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
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
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
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
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
Figure 7 |
Figure 8
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
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
Figure 10 |
Figure 11 |
Figure 12
Figure 12 |
Figure 13
Figure 13 |
Figure 14
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
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
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
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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