On the Non-Commuting Graph of Dihedral Group
Sanhan Khasraw, Ivan Ali, Rashad Haji

TL;DR
This paper studies various graph-theoretic properties of the non-commuting graph of dihedral groups, including indices, eccentricities, and mean distances, enhancing understanding of their structural characteristics.
Contribution
It introduces new calculations of indices and distances for the non-commuting graph of dihedral groups, expanding the algebraic graph theory literature.
Findings
Computed detour index, eccentric connectivity, and total eccentricity polynomials.
Determined the mean distance of the non-commuting graph for dihedral groups.
Provided explicit formulas for these graph invariants.
Abstract
For a nonabelian group G, the non-commuting graph of is defined as the graph with vertex set , where is the center of , and two distinct vertices of are adjacent if they do not commute in . In this paper, we investigate the detour index, eccentric connectivity and total eccentricity polynomials of non-commuting graph on . We also find the mean distance of non-commuting graph on .
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Taxonomy
TopicsGraph theory and applications · Finite Group Theory Research · Advanced Graph Theory Research
On the Non-Commuting Graph of Dihedral Group
S.M.S. Khasraw1, I.D. Ali2 and R.R. Haji3
1,2,3Department of Mathematics, College of Education,
Salahaddin University-Erbil, Erbil, Kurdistan Region, Iraq
[email protected], [email protected],
**Abstract
**
For a nonabelian group G, the non-commuting graph of is defined as the graph with vertex set , where is the center of , and two distinct vertices of are adjacent if they do not commute in . In this paper, we investigate the detour index, eccentric connectivity and total eccentricity polynomials of non-commuting graph on . We also find the mean distance of non-commuting graph on .
1 Introduction
The concept of non-commuting graph of a finite group has been introduced by Abdollahi et al in 2006 [1]. For a non-abelian group , associate a graph with it such that the vertex set of is , where is the center of , and two distinct vertices and are adjacent if they don’t commute in , that is, . Several works on assigning a graph to a group and investigation of algebraic properties of group using the associated graph have been done, for example, see [4, 5, 2].
All graphs are considered to be simple, which are undirected with no loops or multiple edges. Let be any graph, the sets of vertices and edges of are denoted by and , respectively. The cardinality of the vertex set is called the order of the graph and is denoted by and the number of edges of the graph is called the size of , and denoted by . The graph is called split if , where is an independent set and is a complete set. For a vertex in , the number of edges incident to is called the degree of and is denoted by . The eccentricity of a vertex in , denoted by , is the largest distance between and any other vertex in . For vertices and in a graph , a path in is walk with no vertices repeated. The shortest (longest) path in a graph , denoted by , is called the distance(detour distance) between vertices and in . The detour index, *eccentric connectivity *and total eccentricity polynomials are defined as [9], and [7], respectively. The detour index , the eccentric connectivity index and the total eccentricity of a graph are the first derivatives of their corresponding polynomials at , respectively. A transmission of a vertex in is . The transmission of a graph is . The mean(average) distance of a graph is , where is the order of , see [8, 3, 6]. In this paper, we study some properties of non-commuting graph of dihedral groups. The dihedral group of order is defined by
[TABLE]
for any , and the center of is Z(D_{2n})=\left\{\begin{tabular}[]{ll}{1},&\mbox{ if }n{1,r^{\frac{n}{2}}},&\mbox{ if }n is even.\\ \end{tabular}\right. Throughout this article, we assume that , and . This article is organized as follows: In the present section, we give some important definitions and notations. In Section 2, we study some basic properties of the non-commuting graph of . We see that is a split graph if is an odd integer.
In Section 3, we find the detour index, eccentric connectivity and total eccentricity polynomials of the non-commuting graph . In Section 4, we find the mean distance of the graph .
2 Some properties of the non - commuting graph of
Recall that, for any , , , and .
We start with the following lemma, which has been proved in [1].
Lemma 2.1**.**
Let be any non-abelian finite group and be any vertex of . Then , where is the centralizer of the element in the group .
According to the above lemma, we can state the following.
Theorem 2.2**.**
*In the graph , where , we have
for any ,
2.\;deg_{\Gamma_{\Omega}}(sr^{i})=\left\{\begin{tabular}[]{ll}2n-2,&\mbox{ if }n2n-4,&\mbox{ if }n is even.\\ \end{tabular}\right.*
Proof.
-
Since , then, from Lemma 2.1, .
-
If is odd, then for all , . This follows that for all . If is even, then for all . Thus, for all . ∎
Theorem 2.3**.**
Let be a non-commuting graph on .
If , then , where . 2. 2.
If , then
\Gamma_{\Omega}=\left\{\begin{tabular}[]{ll}K_{n},&\mbox{ if }nK_{n}-\frac{n}{2}K_{2},&\mbox{ if }n is even.\\ \end{tabular}\right.
where denotes copies of .
Proof.
-
The centralizer of , , is of size , then there is no edge between any pair of vertices in . Thus, , where .
-
When is odd. Since the element , where , has centralizer of size 2, so let . Then the subgraph is complete.
When is even. Since for all . Then there is no edge between the vertices and in for all . Therefore, ∎
Theorem 2.4**.**
Let be an odd integer and be a subset of . Then if and only if for some .
Proof.
Suppose that . By Theorem 2.2, for some . Conversely, suppose . Then and for . Thus, . ∎
Corollary 2.5**.**
Let be an odd integer and . Then is a split graph.
Proof.
The proof follows from Theorem 2.3 and Theorem 2.4. ∎
Theorem 2.6**.**
Let be a non-commuting graph on , where . We have
[TABLE]
Proof.
It is clear that and . According to , there are two cases to consider.
Case 1. If is odd, then the subgraph induced by has no edges and the subgraph induced by is complete. Thus, the number of edges in is sum of the number of edges in and the number of edges from set of vertices in to set of vertices in . Therefore, .
Case 2. If is even, then the subgraph induced by has no edges and the subgraph induced by has edges. Thus, the number of edges in is sum of the number of edges in and the number of edges from set of vertices in to set of vertices in . Therefore, . ∎
3 Detour index, eccentric connectivity and total eccentricity polynomials of non- commuting graphs on
Theorem 3.1**.**
Let be a non-commuting graph on , where . Then for any ,
[TABLE]
Proof.
There are two cases. When is odd. From Theorem 2.3 and Theorem 2.4, we see that no two vertices in are adjacent, any pair of distinct vertices in are adjacent, and each vertex in is adjacent to every vertex in . Then for all , there is a path of length .
When is even. Again, no two vertices in are adjacent, each vertex in is adjacent to every vertex in , and any pair of distinct vertices and in are adjacent if for . So, for all , there is a path of length . ∎
Theorem 3.2**.**
Let be a non-commuting graph on , where . Then
[TABLE]
Proof.
Case 1. n is odd. Since , there are possibilities of distinct pairs of vertices. By Theorem 3.1, for any . Then .
Case 2. n is even. We have that and the possibility of taking distinct pairs of vertices form is . From Theorem 3.1, we deduce that . ∎
Corollary 3.3**.**
For the graph ,
[TABLE]
Proof.
It is clear that . From Theorem 3.2, the result follows. ∎
Theorem 3.4**.**
Let be a non-commuting graph on , where .
When is odd, then
[TABLE] 2. 2.
When is even, then for each .
Proof.
-
When is odd. There is no edge between any pair of vertices in and each vertex in is adjacent to every vertex in . So the maximum distance between any vertex of and the other vertices in is 2 and the maximum distance between any vertex of and the other vertices in is 1.
-
When is even. Again, There is no edge between any pair of vertices in . Also, each vertex in is adjacent to every vertex in . Thus, for each . By Theorem 2.3, the subgraph is not a complete graph because there is no edge between the vertices and . This means that the maximum distance between any vertex in and any other vertex in is 2, so for each . ∎
From above theorem, we can have the following.
Theorem 3.5**.**
Let be a non-commuting graph on , where . Then
[TABLE] 2. 2.
[TABLE]
Proof.
The proof follows directly from Theorem 2.2 and Theorem 3.4. ∎
From the above theorem, one can obtain the eccentric connectivity index and the total eccentricity of a graph from their corresponding polynomials by computing their first derivatives at .
Corollary 3.6**.**
Let be a non-commuting graph on , where . Then
[TABLE]
4 The mean distance of the graph
Through this section we find the mean (average) distance of the graph .
Lemma 4.1**.**
In the graph , where is odd, the transmission of each vertex is for all and the transmission of a vertex is for all .
Proof.
The vertices set of the graph is . Then , where is odd. A vertex is adjacent with all vertices for all , so, for all and all . While a vertex is not adjacent with for all , and , then for all , and . So,
[TABLE]
for all . On the other hand every vertex is adjacent with for all , . Therefore, , for all , . Also, every vertex is adjacent with , then for all , . So,
[TABLE]
for all . ∎
Lemma 4.2**.**
In the graph , where is even, the transmission of each vertex is for all and the transmission of a vertex is for all
Proof.
Let . Then the vertices set of the graph , where is even, is . So, . A vertex is adjacent with all vertices for all and all . Thus, for all and all . Notice that every two vertices and are non-adjacent for all and , then for all and . So,
[TABLE]
for all . Also, every vertex is adjacent with for all , , and all , then , for all , and , for all . Since each vertex is adjacent with all vertices , for all , and , then . Therefore,
[TABLE]
for all . ∎
Theorem 4.3**.**
The mean distance of the graph , where is odd, is .
Proof.
By Lemma 4.1, we see that the transmission of the graph is
[TABLE]
Notice that . Therefore, . ∎
Theorem 4.4**.**
The mean distance of the graph , where is even, is .
Proof.
By using Lemma 4.2, we can find the transmission of the graph which is
[TABLE]
Notice that . Therefore, . ∎
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