Abstract
For a connected graph G, let be its distance Laplacian matrix and be its eigenvalues. The energy of G is defined as , where is the Wiener index of G. An important problem in graph energy studies is to determine exact formulations of the energy for specific graph classes and their complements. This paper gives the precise energy formulations of a class of bicyclic graphs , a class of unicyclic graphs , and their complements. Moreover, we order the graphs on the basic of , , and consider the same problems for their complements. And the ordering of the graphs on the basic of and the ordering of their complements on the basics of , and the energy are obtained.
MSC:
05C50; 05C35
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.
Figure 1.
The graphs and .
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 , thenwhere
- (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)
- If , then
- (ii)
- If , thenwhere
- (iii)
- If , thenwhere
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.
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.
Table 1.
The energies of the graphs .
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.
Table 2.
The energies of the graphs .
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.
Table 3.
The energies of graphs .
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 .
4. Conclusions
A key contribution of this work is that it establishes the ordering of distance Laplacian spectral invariants for the graphs , , , and , leading to the characterization of extremal graphs. Additionally, we provide explicit formulations for their distance Laplacian energies, forming a basis for analyzing how this energy reflects structural properties.
Several promising directions remain open for future investigation, including conducting similar work on broader families of graphs. Next, we will conduct some research on the above problems.
Author Contributions
Writing—original draft, S.Z.; Writing—review & editing, D.L. All authors have read and agreed to the published version of the manuscript.
Funding
This research was supported by the Natural Science Foundation of Xinjiang Uygur Autonomous Region (No. 2024D01C41), the Tianshan Talent Training Program (No. 2024TSYCCX0013), and NSFC (Nos. 12361071 and 11901498).
Data Availability Statement
No data was used for the research described in this article.
Conflicts of Interest
The authors declare that they have no conflicts of interest.
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