The multiplicity of the Laplacian eigenvalue $2$ in some bicyclic graphs
Masoumeh Farkhondeh, Mohammad Habibi, Dost Ali Mojdeh, Yongsheng Rao

TL;DR
This paper examines the conditions under which the Laplacian eigenvalue 2 appears in graphs formed by connecting two unicyclic graphs with an edge, focusing on cases where only one or both graphs have 2 as an eigenvalue.
Contribution
It extends previous work by analyzing the presence of the eigenvalue 2 in combined graphs when only one of the component graphs has this eigenvalue.
Findings
Identifies structural conditions for eigenvalue 2 in combined graphs
Provides Laplacian characteristic polynomial-based criteria
Analyzes cases with one or both graphs having eigenvalue 2
Abstract
The Laplacian matrix of a graph is denoted by , where is a diagonal matrix and is the adjacency matrix of . Let and be two graphs. A one-edge connection of two graphs and is a graph with and , where and . We investigate the multiplicity of the Laplacian eigenvalue of , while the unicyclic graphs and have among their Laplacian eigenvalues, by using their Laplacian characteristic polynomials. Some structural conditions ensuring the presence of the existence in the where both and have as Laplacian eigenvalue, have been investigated, while, here we study the existence Laplacian eigenvalue in…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsGraph theory and applications · Synthesis and Properties of Aromatic Compounds · Computational Drug Discovery Methods
The multiplicity of the Laplacian eigenvalue in some bicyclic graphs
Masoumeh Farkhondeha, Mohammad Habibia, Doost Ali Mojdehb, Yongsheng Raoc
aDepartment of Mathematics,
Tafresh University, Tafresh, 39518-79611, Iran,
bDepartment of Mathematics,
University of Mazandaran, Babolsar, 47416-95447, Iran
cGuangzhou University, Guangzhou, 510006, China
Abstract
The Laplacian matrix of a graph is denoted by , where is a diagonal matrix and is the adjacency matrix of . Let and be two graphs. A one-edge connection of two graphs and is a graph with and , where and . We investigate the multiplicity of the Laplacian eigenvalue of , while the unicyclic graphs and have among their Laplacian eigenvalues, by using their Laplacian characteristic polynomials. Some structural conditions ensuring the presence of the existence in the where both and have as Laplacian eigenvalue, have been investigated, while, here we study the existence Laplacian eigenvalue in where at most one of or has as Laplacian eigenvalue.
AMS 2010 Subject Classification: 05C50; 11C08; 15A18.
Keywords: Laplacian eigenvalue, characteristic polynomial, multiplicity, unicyclic graph, bicyclic graph.
1 Introduction
All graphs in this paper are finite and undirected with no loops or multiple edges. Let be a graph with vertices. The vertex set and the edge set of are denoted by and , respectively. The Laplacian matrix of is , where is a diagonal matrix and denotes the degree of the vertex in and is the adjacency matrix of . We shall use the notation to denote the Laplacian eigenvalue of the graph and we assume that . Also, the multiplicity of the eigenvalue of is denoted by . A vertex of degree one is called a leaf vertex and a vertex is said quasi leaf (support vertex) if it is incident to a leaf vertex. Connected graphs in which the number of edges equals the number of vertices are called unicyclic graphs. Therefore, a unicyclic graph is either a cycle or a cycle with some attached trees. Let be the set of all unicyclic graphs of order with girth . Throughout this paper, we suppose that the vertices of the cycle are labeled by , ordered in a natural way around , say in the clockwise direction. A rooted tree is a tree in which one vertex has been designated the root. Furthermore, assume that is a rooted tree of order attached to , where . This unicyclic graph is denoted by . The sun graph of order is a cycle with an edge terminating in a leaf vertex attached to each vertex that is the corona of . A broken sun graph is a unicyclic subgraph of a sun graph, so one can assume a sun graph is a broken sun graph too. A one-edge connection of two graphs and is a graph with and , where and . We use the notation when .
By [7, Theorem 13], due to Kelmans and Chelnokov, the Laplacian coefficient, , can be expressed in terms of subtree structures of , for . Suppose that is a spanning forest of with components of order , and . The Laplacian characteristic polynomial of is denoted by . If is a square matrix, then the determinant of is denoted by and the minor of the entry in the row and column is the determinant of the submatrix formed by deleting the row and column. This number is often denoted by . A square matrix is non-singular if its determinant is non-zero or it has an inverse.
Let be a graph with vertices. It is convenient to adopt the following terminology from [4]: for a vector , we say gives a valuation of the vertex of , and with each vertex of , we associate the number , which is the value of the vertex , that is . Then is an eigenvalue of with the corresponding eigenvector if and only if and
[TABLE]
In this article, we would like to study the eigenvalue in bicyclic graphs with just cycles. The main Theorem is about the multiplicity of the Laplacian eigenvalue of , while the unicyclic graphs and have among their Laplacian eigenvalues, by using their Laplacian characteristic polynomials. By addition, we investigate the existence Laplacian eigenvalue in where at most one of or has as Laplacian eigenvalue, by using Equation (1).
2 Main results
We start this section by studying the multiplicity of the Laplacian eigenvalue of , where the unicyclic graphs and have among their Laplacian eigenvalues. For this, we need the following results.
Lemma 1
.[2, Lemma 2.2]* If is a non-singular square matrix, then*
[TABLE]
We use the notation when in is the row and column corresponding to the vertex in a graph.
Lemma 2
.[6, Lemma 8]* Let and be two graphs of order and , respectively. Then the Laplacian characteristic polynomial of is*
[TABLE]
where and .
Corollary 3
.* Let be a unicyclic graph on vertices. If are the Laplacian eigenvalues of , then are the Laplacian eigenvalues of .*
**Proof. **
Suppose and are the vertices of and the copy of , respectively. Let and . Therefore , by Equation (3). So and the result follows.* *
In [3], we have shown the upper bound for , where .
Lemma 4
.[3, Lemma 2]* Let be a bicyclic graph and be an integral eigenvalue of . It holds that .*
Now, we identified some bicyclic graphs that having among their Laplacian eigenvalues with multiplicity .
Theorem 5
.[Main Theorem]* Let and be unicyclic graphs containing a perfect matching with . It holds that where and .*
**Proof. **
If , then there are two situations.
If and then , by [1, Theorem 12]. 2. 2.
If and such that , and there exists at least one (or ) so that (or . Let
[TABLE]
so and , for , by [1, Theorem 13].
In addition, is a bicyclic graph so , by Lemma 4. On the other hand,
[TABLE]
According to Equation (3), it is enough to show that and have as a factor.
Case . Let , and .
We use induction on . If then the result follows and so the induction basis holds.
[TABLE]
Suppose in the cyclic graph , with has as a factor.
Let and without loss of generality, assume that . So
[TABLE]
such that
[TABLE]
[TABLE]
and
[TABLE]
[TABLE]
Therefore, , by Lemma 2.
[TABLE]
Also
[TABLE]
Then
[TABLE]
Furthermore, , such that
[TABLE]
Consequently,
[TABLE]
[TABLE]
On the other hand
[TABLE]
Also, according to the induction hypothesis has as a factor therefore, has as a factor. With a similar method, one can check that has as a factor. Thus, and we are done.
Case . Let and so and , for . In addition, there exists some (), such that (). Let and , where is the root of . Since has a perfect matching, is a pendent vertex and its neighbor, say , has degree . Thus, . Using [5, Theorem 2.5] we obtain . So by repeating this method in the graph and omitting all leaf vertices and quasi leaf vertices of degree and using [5, Theorem 2.5], the obtained graph is two cycles like graph in the case . So and the proof is complete. * *
Example 1
. and are two unicyclic graphs with . Also, there exists at least one such that for or i=. The bicyclic graph has among its Laplacian eigenvalues with multiplicity .
The following example shows that the converse of Theorem 5 does not necessarily true in general.
Example 2
. Let be a unicyclic graph same as Figure . has among its Laplacian eigenvalues with multiplicity . But has among its Laplacian eigenvalues with multiplicity (Figure ).
In [3] authors have considered a necessary and sufficient condition in the bicyclic graph for having the Laplacian eigenvalue , where and are unicyclic graphs and have among their Laplacian eigenvalues. We study the Laplacian eigenvalue of , where and are unicyclic graphs and or dose not have among its Laplacian eigenvalues by using Equation (1) without having the Laplacian characteristic polynomial.
Theorem 6
.* Let and be unicyclic graphs such that has a perfect matching and among its Laplacian eigenvalues. Also, dose not have among its Laplacian eigenvalues. Then has among its Laplacian eigenvalues if and only if .*
**Proof. **
Let be a unicyclic graph containing a perfect matching such that has among its Laplacian eigenvalues. So , where is the number of trees of odd orders in , by [1, Theorem 9].
Case . If or and then by [1, Theorem 13] and there exists the eigenvector corresponding to the eigenvalue like , such that for , by [3, Theorem 4], so . By contrary, if has among its Laplacian eigenvalues, then we can assume that is an eigenvector of corresponding to the eigenvalue . All vertices of satisfy in Equation (1). Therefore
[TABLE]
On the other hand, has among its Laplacian eigenvalues. So, we have . Also
[TABLE]
Thus, by noting the fact that for the other vertices of , we have
[TABLE]
Hence, there exist an eigenvector opposed to zero of corresponding to the eigenvalue and this is a contraction. Therefore, the proof is complete.
Case . If and then by [1, Theorem 13] and there exists an eigenvector of like corresponding to the eigenvalue , such that . For proving the “if part”, let . Then by assigning [math] to all vertices of , one can easily check that is an eigenvector of corresponding to the eigenvalue (all vertices of satisfy in Equation (1)). Conversely, suppose is an eigenvector of corresponding to the eigenvalue such that . By a similar method in case , an eigenvector like exists such that satisfy in Equation (1) for in and this is a contradiction. Therefore, the result follows.* *
Theorem 7
.* Let be a broken sun graph of order which has no perfect matching and has among its Laplacian eigenvalues. Also, is a unicyclic graph of order that does not have among its Laplacian eigenvalues. So, has among its Laplacian eigenvalues if and only if .*
**Proof. **
First, assume that and there exist odd number of vertices of degree 2 between any pair of consecutive vertices of degree , by [1, Theorem 10]. We may assign to the vertices of , by the pattern consecutively starting with a vertex of degree , and assign to each pendent vertex the negative of value of its neighbor, to obtain an eigenvector of corresponding to the eigenvalue like . Now, if then by assigning [math] to all vertices of , one can easily check that is an eigenvector of corresponding to the eigenvalue (all vertices of satisfy in Equation (1)). Conversely, suppose is an eigenvector of corresponding to the eigenvalue such that . By a similar method in Theorem 6 case , there exists an eigenvector like such that satisfy in Equation (1) for in and this is a contradiction. Therefore, the proof is complete.* *
Example 3
. In the following Figure , and are broken graphs such that just one of them has among its Laplacian eigenvalues. By Theorem 7 and by Equation (1),
[TABLE]
is an eigenvector of corresponding to the eigenvalue .
In the follow, we show that two broken sun graphs and do not have among their Laplacian eigenvalues, but may have among Laplacian eigenvalues.
Theorem 8
.* Let and , and , be the numbers of leaf vertices in and for which and . Let . Then has among its Laplacian eigenvalues.*
**Proof. **
Let and . We may assign and to the vertices of and , and assign and to each leaf vertices of and , respectively. One may check that every vertices of satisfies in Equation (1). Therefore is an eigenvector corresponding to the Laplacian eigenvalue , such that , for and we are done. * *
Example 4
. Let and be broken sun graphs (see Figure ), then has among its Laplacian eigenvalues by Theorem 8.
Now, we finish this article with extend this result for graphs with cycles.
Lemma 9
.* Let be a graph with cycles and be an integral Laplacian eigenvalue of . Therefore, .*
**Proof. **
If be a unicyclic graph then , by [1, Lemma 4]. By induction on , let for all graphs with cycles less than . The graph , where belongs to one of the cycles of , is a graph with cycles and by using the induction assumption . If then , by [8, Theorem 3.2] and this contradicts. So, the result follows.* *
The reference list from the paper itself. Each links out to its DOI / PubMed record.
- 1[1] S. Akbari, D. Kiani, M. Mirzakhah. The multiplicity of Laplacian eigenvalue two in unicyclic graphs. Linear Algebra Appl. , 445 (2014), 18-28.
- 2[2] D. Cvetkovic, M. Doob, H. Sachs. Spectra of Graphs Theory and Applications . 3rd edition, Johann Ambrosius Barth Verlag, Heidelberg-Leipzig, 1995.
- 3[3] M. Farkhondeh, M. Habibi, D. A. Mojdeh, Y. Rao. Some bicyclic graphs having 2 2 2 as their Laplacian eigenvalues. Mathematices. , 7 (12)(2019).
- 4[4] M. Fiedler. A property of eigenvectors of nonnegative symmetric matrices and its applications to graph theory. Czechoslovak Math. J. , 25 (4)(1975), 607-618.
- 5[5] R. Grone, R. Merris, V. S. Sunder. The Laplacian spectrum of a graph. SIAM J. Matrix Anal. Appl. , 11 (2) (1990), 218-238.
- 6[6] J. M. Guo. On the second largest Laplacian eigenvalue of trees. Linear Alg. Appl. 404 (2005), 251-261.
- 7[7] P. V. Mieghem. Graph Spectra for Complex Networks . Cambridge University Press, Cambridge, 2011.
- 8[8] B. Mohar, The Laplacian spectrum of graphs. in: Y. Alavi, G. Chartrand, O.R. Oellermann, A.J. Schwenk (Eds.), Graph Theory, Combinatorics, and Applications , 2 (1991), 871-898.
