1. Introduction
The present work considers only undirected, simple and connected graphs. Let G be a connected graph, where represents its vertex set and represents its edge set. The distance between two vertices , denoted as or simply , is the length of the shortest path linking them in G. The distance matrix of G is given by . The transmission of a vertex is defined as the sum of distances from v to all other vertices in G, i.e., . Note that corresponds to the row sum of the matrix . The distance Laplacian matrix of G is defined as , where is the diagonal matrix whose entries are the vertex transmissions in G. Clearly, is a real symmetric positive semidefinite matrix. The eigenvalues of often follow the order with and respectively denoted as the spectral radius and the second smallest eigenvalue of graph G. And the multiset comprising the eigenvalues of is referred to as the spectrum of G.
Graph energy, a concept originating from theoretical chemistry, was first defined by Gutman [
1] in 1978. When considering a simple graph
G, its energy
is computed as the sum of the absolute values of the eigenvalues of the adjacency matrix corresponding to
G. For recent advancements regarding
, one may refer to [
2,
3,
4,
5]. Graph energy’s concept has been generalized to meet various application needs, which involves considering other matrices associated with a graph. For example, distance energy, distance signless Laplacian energy and Laplacian energy. We may refer to [
6,
7,
8] for some of the latest progress on them. Let
G denote a graph of order
n. The
of
G is the sum of distances between all unordered vertex pairs, given by
. In 2013, Yang, You and Gutman [
9] defined
. One of the interesting questions concerning the study of the energy of the graph is to give the upper and lower bounds of the energy. Yang, You and Gutman [
9] gave some bounds on
for a simple connected graph. Das, Aouchiche and Hansen [
6] presented some bounds on
in terms of
n for some graphs. Diaz and Rojo [
7] gave the sharp upper bound on
energy for a simple undirected connected graph. Moreover, another problem of concern is to characterize the distinct energy formulation of a given graph class. The complement graph of a graph
, denoted by
, is a graph whose vertex set is same to that of
G, but two vertices in
are adjacent if and only if they are not adjacent in
G. Rather, Aouchiche, Imran and Ei Hallaoui [
10] provided
energy of the graphs whose complements are double stars, as well as for a specific type of unicyclic graph and their complements. Rather, Ganie and Shang [
11] derived
energy of sun and partial sun graphs. Determining exact distance Laplacian energy expression for key graph classes is significant, as it aids in addressing various extremal problems in spectral graph theory. In the course of previous research, we have found that
Figure 1 have an important place in the extremal graph theory. Compared to [
10,
11,
12], the
energy formulations described in this paper is more specific. In addition, Our process of calculating
is also more complex. Motivated by the aforementioned studies, the central objective of this paper is stated in Problem 1.
Problem 1. Can we determine for two types of graphs in Figure 1 and their complements? Let
be a cycle. The graph
(see
Figure 1) is obtained by inserting an edge connecting vertices
u and
v within the
and attaching
p and
q pendent vertices to vertices
u and
v, respectively. The graph
(see
Figure 1) is constructed by appending
p and
q pendent vertices to vertices
u and
r of the
cycle, respectively. Obviously, the graphs
and
are a bicyclic graph and an unicyclic graph, respectively. Then we answer the Problem 1 based on the graphs
and
.
Theorem 1. Let G be a graph of order such that , where . Let be the eigenvalues of G. Then and . Furthermore, The following properties are satisfied:
- (i)
If , then - (ii)
If , then - (iii)
If , then - (iv)
If , then
Theorem 2. Let G be a graph of order such that , where . Let be the eigenvalues of G. Then . Furthermore, the following statements hold:
- (i)
If , then - (ii)
If , then
Theorem 3. Let G be a graph of order such that , where . Then, spectrum of the graph G comprises the eigenvalue occurring with multiplicity , the eigenvalue occurring with multiplicity , a single instance of the eigenvalue 0, and the eigenvalue for , where , and . Furthermore, the following statements hold:
- (i)
- (ii)
If , then - (iii)
If , then
Remark 1. We give , , and in this article. In particular, ) will be presented in the form of Corollary 9, based on some previous results in the last section.
Additionally, ordering graphs of the same order according to a given spectral invariant remains a key direction in current research. Ganie [
13] demonstrated that trees with a diameter of 3 are distinguishable based on their
energy. Rather, Ganie and Shang [
11] ordered sun and partial sun graphs by using their
energies. And they also ordered them on the basic of
and
. Rather, Aouchiche, Imran and Ei Hallaoui [
10] ordered the graphs whose complements are double stars on the basic of
and
and a special type of unicyclic graph and their complements on the basic of
and
. Therefore, this paper also orders part of the graphs mentioned above on the basic of
,
and the
energy.
The structure of the paper is as follows: In
Section 2, we order the graphs
and
by their
and
, respectively, and discuss their
.
Section 3 presents
and
. Additionally, we examine the ordering of
graphs with respect to
. And we also order the graphs
on the basic of
,
and the
energy.
2. Proof of Theorems 1 and 2
Let
G be a graph whose vertex set is given by
. In this context,
represents a function (or mapping) defined over
, where each vertex
is assigned a corresponding value
for
. Additionally, it is given that
and
serves as an eigenvalue of
, associated with the eigenvector
X if and only if for all vertices
,
or equivalently,
Let . Let and denote an induced subgraph on a vertex subset S. A vertex subset S is termed an independent set of G if .
Lemma 1 ([
14]).
Consider a graph G with n vertices. Suppose is an independent set in G such that for all , then for all and is an eigenvalues of with multiplicity . Let
which is devided by a partition
of set
. Let
be a quotient matrix, where its
-th entry of the matrix is defined as the mean row sum of the submatrix
obtained from
M. A partition
of matrix
A is called equitable (or regular) if each submatrix
induced by
has uniform row sums across all rows for every pair of indices
i and
j. When this condition holds,
Q is referred to as the equitable quotient matrix. The eigenvalues of
Q exhibit an interlacing relationship with those of
M; however, in the case of equitable partitions, the spectrum of
Q forms a subset of the spectrum of
M. Let
denote the largest positive integer for which
and define
enote the partial eigenvalue sum of the
k largest values in the spectrum of
for graph
G. Given the established fact [
6] that
, it can be deduced that
Proof of Theorem 1. Recall that
Note that
for
. Thus,
serves as a
eigenvalue of
with a multiplicity of no less than
by Lemma 1. Likewise,
is the
eigenvalue of
with a multiplicity of no less than
. Next, we will determine the remaining
eigenvalues for
. Let
X denote the eigenvector of
such that
for
. Let
for
and
for
by symmetry. For the convenience of subsequent use, we set
,
,
and
. By using the Equation (
1), we have
Let
represent the
eigenvalues of graph
. The coefficient matrix (also referred to as the regular quotient matrix of
) corresponding to the right-hand side of the aforementioned eigenvalue equation is
and its characteristic polynomial is
, where
. Note that
where
. Consequently, through the application of the intermediate value theorem along with a straightforward analysis, we can deduce that
In the following, we proceed to compute
according to its definition. For
, the mean of the
eigenvalues for
is
Note that
,
and
. If
, then
, a contradiction. Then, we suppose that
. It implies that
. Therefore, we can obtain
and
. Thus,
. And the
is
If
, then
. Next, we compare the upper bound of
. Now, we assume that
. Then we get that
,
and
. For
,
. If
, then
. And the
is
If
. then
. And the
is
If
, then
,
and
. Thus,
. And the
is
If
, then
and
. Hence,
. And the
is
□
Next, we give an example for Theorem 1 in the
Table 1.
Corollary 1. Let p and q be two positive integers, and . Consider the equation , the following holds Proof. For Theorem 1,
denotes the maximum root of the equation
. Through direct computation, it can be shown that
where
. By Theorem 1,
. Also,
. Thus
is a monotonically increasing function for
and
. Therefore,
. Note that
and
. It implies that
□
Applying Corollary 1 directly yields the subsequent conclusion.
Corollary 2. Let p and q be two positive integers, and . Consider the equation , the following holds Similarly, we can obtain the following result for .
Corollary 3. Let p and q be two positive integers, and . Consider the equation , the following holds A clique of a graph G is a vertex subset S of such that .
Lemma 2 ([
14]).
Let G be a graph of order n. If is a clique of G with for each , then for all and corresponds to an eigenvalue of with minimal algebraic multiplicity, specifically of order , where the multiplicity is defined as the exponent of the root at zero in the matrix’s characteristic polynomial. Proof of Theorem 2. Recall that
Note that
for
. Hence,
is the
eigenvalues of
with a multiplicity of no less than
by Lemma 2. Similarly,
is the
eigenvalues of
with a multiplicity of no less than
. Next, we proceed to determine the remaining
eigenvalues of
. Define
X as the eigenvector of
such that its vertex component satisfies
for all
. Let
for
and
for
by symmetry. For the convenience of subsequent use, we set
,
,
and
. By using Equation (
1), we have
The matrix representing the right-hand side terms of the aforementioned eigenproblems, namely the regular quotient matrix of
, is
and its characteristic polynomial is
, where
. Obviously
where
. Let
be the
eigenvalues of
. Consequently, by applying the intermediate value theorem and making a basic comparison, it can be deduced that
,
,
,
,
for
and
. Next, We will compute
as defined. For
, the arithmetic mean of the
eigenvalues of
is
Clearly,
for
,
for
and
. If
, then
. And the
is
since
. If
, then
. And the
is
□
Furthermore, we give an example for Theorem 3 in
Table 2.
Corollary 4. Let p and q be two positive integers, and . Consider the equation , the following holds Proof. By Theorem 2,
denotes the maximum root of the equation
. Furthermore, by direct calculation, it can be shown that
By Theorem 2,
, and for
, one can conclude that
Since
, and
, one can conclude that
□
According to Corollary 4, the following result can be promptly derived.
Corollary 5. Let p and q be two positive integers, and . Consider the equation , the following holds Likewise, with regard to , we obtain the following outcome.
Corollary 6. Let p and q be two positive integers, and . Consider the equation , the following holds 3. Proof of Theorem 3
Proof of Theorem 3. Recall that
Note that
for
. Thus,
is the
eigenvalues of
with a multiplicity of no less than
by Lemma 1. Similarly,
is the
eigenvalues of
with a multiplicity of no less than
. Let
X be the eigenvector of
with
for
. Let
for
and
for
by symmetry. For the convenience of subsequent use, we set
,
,
and
. By using Equation (
1), we have
The matrix representing the right-hand side terms of the aforementioned eigenproblems, namely the regular quotient matrix of
, is
and its characteristic polynomial is
, where
For
, it can be deduced that
Therefore, by invoking the intermediate value theorem, we can deduce that
where
are
eigenvalues of
for
. If
, then
and
. If
, then
,
and
.
For
, the mean value of the
eigenvalues associated wit
is
Note that
,
,
,
and
. If
, then
and
. Thus,
. And the
is
Next, we consider the case that
. If
, then
or
. If
, then
. If
, then
or
. For
, the
is
For
, the
is
If
, then
or
. For
, the
is
For
, the
is
□
Next, we give an example for Theorem 3 in the
Table 3.
Corollary 7. Let p and q be two positive integers, and . Consider the equation , the following holds Proof. By Theorem 3,
denotes the maximum root of the equation
and we note that
. Furthermore, by invoking the intermediate value theorem, we can deduce that
By Theorem 3,
. Also,
Thus, the function
exhibits monotonic increase for
and
. Note that
and
. It implies that
□
Next, we also study the extreme values of over a class of unicyclic graphs .
Corollary 8. Let p and q be two positive integers, and . Considering Equation , the following holds: Next, we give based on some relevant previous results in the following.
Lemma 3 ([
15]).
Let G be a graph of order such that , where . Then the spectrum of G consists of the eigenvalues- (a)
0 with multiplicity 1;
- (b)
with multiplicity ;
- (c)
with multiplicity 1, for each root t of the equation
Corollary 9. Let G be a graph of order such that , where . Then Proof. Let
be the
eigenvalues of
. By Lemma 3,
,
,
,
for
,
and
. For
, the average of the
eigenvalues of
is
Clearly,
,
,
,
and
. Then
. And the
is
□
Then we get an example that by Theorem 3.
Corollary 10. Let p and q be two positive integers, and . Consider the equation , the following holds Proof. Using Lemma 3,
, where
t denotes the maximum root of the equation
. Through straightforward computation, we obtain the following result
Therefore,
for
. Furthermore, with
, it follows that
, this indicates that the maximum root of the equation
exceeds that of
, and so the result follows. □
By Corollary 10, we immediately get the following result.
Corollary 11. Let p and q be two positive integers, and . Consider the equation , the following holds For , the following outcome has been obtained.
Corollary 12. Let p and q be two positive integers, and . Consider the equation , the following holds Corollary 13. Let G be a graph of order such that , where and . Then the energy of the family G is a decreasing function of l.
Proof. Suppose that
and
, where
. By direct calculation and Corollary 11, we have
□
Thus, for the graph , the energy reaches its minimum when the graph is in the form of , while the maximum value of energy is achieved for the graph configuration .