The least distance eigenvalue of the complements of graphs of diameter greater than three
Xu Chen, Yinfen Zhu, Guoping Wang

TL;DR
This paper identifies the unique graph with the maximum least distance eigenvalue among all complements of graphs with diameter greater than three, expanding understanding of spectral properties related to graph complements.
Contribution
It determines the unique extremal graph for the least distance eigenvalue among complements of graphs with diameter exceeding three.
Findings
Identifies the graph with maximum least distance eigenvalue
Provides a characterization of extremal graphs in this class
Enhances spectral graph theory knowledge
Abstract
Suppose is a connected simple graph with the vertex set . Let be the least distance between and in . Then the distance matrix of is , where . Since is a non-negative real symmetric matrix, its eigenvalues can be arranged as , where eigenvalue is called the least distance eigenvalue of . In this paper we determine the unique graph whose least distance eigenvalue attains maximum among all complements of graphs of diameter greater than three.
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Taxonomy
TopicsGraph theory and applications · Synthesis and Properties of Aromatic Compounds · Graphene research and applications
The least distance eigenvalue of the complements of
graphs of diameter greater than three ††thanks: This work is supported by Natural Science Foundation for Young People of Xinjiang Province (No. 2022D01B136).
Xu Chen1[
İD
](https://orcid.org/0000-0002-1179-565X), Yinfen Zhu2, Guoping Wang3111Corresponding author. Email: [email protected].(G. Wang)
- School of Statistics and Data Science, Xinjiang University of Finance and Economics,
Ürümqi, Xinjiang 830012, P.R.China;
- School of Mathematics and Science, Xinjiang Institute of Engineering,
Ürümqi, Xinjiang 830023, P.R.China;
- School of Mathematical Sciences, Xinjiang Normal University,
Ürümqi, Xinjiang 830017, P.R.China
Abstract. Suppose is a connected simple graph with the vertex set . Let be the least distance between and in . Then the distance matrix of is , where . Since is a non-negative real symmetric matrix, its eigenvalues can be arranged as , where eigenvalue is called the least distance eigenvalue of . In this paper we determine the unique graph whose least distance eigenvalue attains maximum among all complements of graphs of diameter greater than three.
Key words:
Distance matrix; Diameter; Least distance eigenvalues; Complements of graphs.
MR(2020) Subject Classification:
05C12, 05C50
1 Introduction
The complement of graph is denoted by , where and . The spectrum and distance spectrum of complements of graphs have been studied, see references [1, 2, 3, 4, 5, 6, 7]. X. Chen and G. Wang [6] determined the unique graphs whose distance spectral radius respectively attains maximum and minimum among all complements of graphs of diameter greater than three, and the unique graph whose least distance eigenvalue attains minimum among all complements of graphs of diameter greater than three. In this paper, we determine the unique graph whose least distance eigenvalue attains maximum among all complements of graphs of diameter greater than three.
2 Main results
Let be a connected simple graph with the vertex set . Then the adjacenct matrix of is , where if is adjacent to , and otherwise. Let be the matrix of order whose all entries are , and be the identity matrix of order . Suppose and . Then we write if , and if . We denote by the diameter of , which is the farthest distance between all pairs of vertices.
The below Lemma 2.1 reflects the relationship of and .
Lemma 2.1** ([6]).**
Suppose is a simple connected graph on vertices whose diameter is greater than two. Then we have
- (I.)
when , . 2. (II.)
when , .
In this paper we always assume that the diameter of is greater than three, and so and its complement are both connected. Using the relations between and stated in Lemma 2.1 we determine the unique graph whose least distance eigenvalue attains maximum among all complements of graphs.
If two vertices and are adjacent then we write . Suppose is a connected simple graph with the vertex set . Let be an eigenvector of , where corresponds to , i.e., for . Then
[TABLE]
Suppose is an eigenvector of with respect to the eigenvalue , where corresponds to , i.e., for . Then
[TABLE]
Lemma 2.2**.**
Suppose is connected graph of diameter greater than three on vertices. Let be the connected graph of diameter greater than three obtained from by deleting an edge and connecting and . Set to be an eigenvector of with respect to . If , then .
Proof.
Recall that . Then we easily have . Note that and . By Lemma 2.1 and equation (1) we have
[TABLE]
By Rayleigh’s theorem we have , and so . ∎
Let be an eigenvector of with respect to , where . Write , and . Let be a subset of . We denote by the subgraph of induced by .
Lemma 2.3**.**
Suppose is a connected graph of diameter greater than three. Let be an eigenvector of with respect to . Let be a connected graph obtained from by deleting one edge in either or . Then .
Proof.
We first have . Note that . By Lemma 2.1 and the equation (1) we have
[TABLE]
By Rayleigh’s theorem we have , and so . ∎
Lemma 2.4**.**
Suppose is a connected graph of diameter greater than three. Set to be an eigenvector of with respect to . Let be a connected graph of diameter greater than three obtained from by connecting one pairs of vertices between and which are not adjacent. Then .
Proof.
We first have . Note that and . By Lemma 2.1 and the equation (1) we have
[TABLE]
By Rayleigh’s theorem we have , and so . ∎
Let be an eigenvector of with respect to . If there are edges of and and edges between and , then we write for . Let be a set of such graphs of diameter greater than three obtained from by adding an edge in and , and be a set of such graphs of diameter greater than three obtained from by deleting an edge between and . By applying Lemmas 2.2-2.4 we easily obtain the following lemma.
Lemma 2.5**.**
Let be defined as above. If then we have
[TABLE]
Let be a complete graph of order . We denote by the graph by deleting an edge of and respectively appending vertices and to and . Let denote the graph by deleting an edge of and appending a path of order to the vertex . Clearly, .
Lemma 2.6**.**
Let and be defined as above. Then we have .
Proof.
Set to be the eigenvector of with respect to . Write for . By the symmetry of all the vertices in correspond to the same value . Let , , and . By the equation (2) we have
[TABLE]
We can transform the above equation into a matrix equation , where and
[TABLE]
Let . Then we have
[TABLE]
Similarly, we have
[TABLE]
From the equations (3) and (4), we have
[TABLE]
Let be the tree obtained by appending two pendent vertices to the some one end of the path of order .
By the complements of and , we observe that the tree of order is an induced subgraph of and , and so both and contain a principle submatrix . Whereas , by Interlacing theorem we have and . Therefore, we can compute out that if and . This implies . ∎
The neighbor of the vertex of is the set of the vertices which are adjacent to . Suppose is a simple graph of diameter than three with the vertex set . Set to be an eigenvector of with resepct to . Let and . Without loss of generality in what follows we assume that .
Lemma 2.7**.**
Suppose is a simple graph of diameter greater than three on vertices. If then .
Proof.
Since , there must be the shortest path . Let . Now we distinguish four cases as follows.
Case 1. Suppose .
Without loss of generality we assume that . We denote by the graph obtained from by deleting all edges which are incident to except , and deleting all edges between and the vertices in and adding edges between and the vertices in . Connecting all pairs of vertices of which are not adjacent except and in , we get a graph isomorphic to . It follows from Lemma 2.5 that .
Case 2. Suppose (or ).
If , we denote by the graph obtained from by deleting all edges which are incident to except , and deleting all edges between and the vertices in and adding edges between and the vertices in . Connecting all pairs of vertices of which are not adjacent except and in , we get a graph isomorphic to . It follows from Lemma 2.5 that .
So we assume that . We denote by the graph obtained from by deleting all edges which are incident to except , and deleting all edges between and the vertices in and adding edges between and . Connecting all pairs of vertices of which are not adjacent except and , and connecting and in , we get a graph isomorphic to . It follows from Lemma 2.5 that .
Case 3. Suppose (or ).
If , we denote by the graph obtained from by deleting all edges which are incident to except . Connecting all pairs of vertices of which are not adjacent except and in , we get a graph isomorphic to . It follows from Lemma 2.5 that .
So we assume that . We denote by obtained from by deleting all edges which are incident to except , and deleting all edges between and the vertices in and adding edges between and the vertices in . Connecting all pairs of vertices of which are not adjacent except and in , we get a graph isomorphic to . It follows from Lemma 2.5 that .
Case 4. Suppose is adjacent to .
Without loss of generality assume that . We denote by the graph obtained from by deleting all edges which are incident to except , and deleting all edges between and the vertices in and adding edges between and the vertices in and connecting and . Connecting all pairs of vertices of except and in , we get a graph isomorphic to . It follows from Lemma 2.5 that .
If none of the above four cases occur then by deleting some edges incident to and connecting some edges in we easily obtain a graph isomorphic to or . It follows from Lemma 2.5 that
Thus, by Lemma 2.6 we finally have . ∎
Let and be two integers and . Denote by the graph by deleting an edge of a completed graph and connecting and of another completed graph . Clearly, .
Lemma 2.8**.**
Suppose is a simple graph of diameter greater than three on () vertices. If then .
Proof.
Note that is a connected graph. There must be one edge , where and . Since , there exists a vertex which is adjacent to neither nor . Without loss of generality we assume . Connecting all pairs of vertices in and which are not adjacent except and , and deleting all edges between and except in , we get a graph isomorphic to . By Lemma 2.5 we have . ∎
Lemma 2.9**.**
.
Proof.
Let be the eigenvector of with respect to . Write for . By the symmetry of all the vertices in correspond to the same value and all the vertices in correspond to the same value . Let , and . By the equation (2) we have
[TABLE]
We can transform the above equation into a matrix equation , where and
[TABLE]
Let . Then we have
[TABLE]
From the equations (3) and (5) we have
[TABLE]
Clearly the tree of order is an induced subgraph of , contains as a principle submatrix. Whereas , by Interlacing theorem we have . Recall that and . Therefore, we can compute out that if . By Lemma 2.6 we know , and so . ∎
Lemma 2.10**.**
.
Proof.
By the equation (5) we have
[TABLE]
Recall that . By computation we obtain that if . Note that . By Lemma 2.7 we know , and so . ∎
Combining Lemmas 2.8-2.10 we have the following theorem.
Theorem 2.11**.**
Suppose is a simple graph of diameter greater than three on vertices. Then
[TABLE]
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