Abstract
Let G be a connected simple graph with n vertices. The distance Laplacian matrix is defined as , where is the diagonal matrix of vertex transmissions and is the distance matrix of G. The eigenvalues of are the distance Laplacian eigenvalues of G and are denoted by . The largest eigenvalue is called the distance Laplacian spectral radius. Lu et al. (2017), Fernandes et al. (2018), and Ma et al. (2018) completely characterized the graphs having some distance Laplacian eigenvalue of multiplicity . In this paper, we characterize the graphs having distance Laplacian spectral radius of multiplicity together with one of the distance Laplacian eigenvalues as n of multiplicity either 3 or 2. Further, we completely determine the graphs for which the distance Laplacian eigenvalue n is of multiplicity .
1 Introduction
Throughout this paper, we consider simple and connected graphs. A simple connected graph consists of the vertex set and the edge set . The order and size of G are and , respectively. The degree of a vertex v, denoted by (we simply write by ) is the number of edges incident on the vertex v. For other standard definitions, we refer to [Citation4, Citation9]. The adjacency matrix of G is an matrix whose -entry is equal to 1, if is adjacent to and equal to 0, otherwise. Let be the diagonal matrix of vertex degrees , . The positive semi-definite matrix is the Laplacian matrix of G. The eigenvalues of are called the Laplacian eigenvalues of G. The Laplacian eigenvalues are denoted by and are ordered as . The sequence of the Laplacian eigenvalues is called the Laplacian spectrum (briefly L-spectrum) of G. In G, the distance between two vertices denoted by , is defined as the length of a shortest path between u and v. The diameter of G denoted by is , that is, the length of a longest path among the distance between every two vertices of G. The distance matrix of G is defined as . The transmission of a vertex v is the sum of the distances from v to all other vertices in G, that is, For any vertex , the transmission is also called the transmission degree.
Let be the diagonal matrix of vertex transmissions of G. Aouchiche and Hansen [Citation1] defined the distance Laplacian matrix of G as (or simply ). The eigenvalues of are called the distance Laplacian eigenvalues of G. Clearly, is a real symmetric positive semi-definite matrix so that its eigenvalues can be ordered as . We write in place of if the graph G is clear from the context. If G has k distinct distance Laplacian eigenvalues say with corresponding multiplicities as , we write the distance Laplacian spectrum (briefly -spectrum) of G as . The largest eigenvalue is called the distance Laplacian spectral radius of G. We denote the multiplicity of the distance Laplacian eigenvalue by . More work on distance Laplacian eigenvalues can be seen in [Citation10–12].
As usual, , , and are respectively, the complete graph, the cycle, the path and the star all on n vertices. A clique of a graph G is an induced subgraph of G that is complete. A kite is the graph obtained from a clique and a path by adding an edge between an endpoint of the path and a vertex from the clique. denotes the complete split graph, that is, the complement of the disjoint union of a clique and isolated vertices. A complete multipartite graph is denoted by , where l is the number of partite classes and . Throughout, we assume that . If , it is a complete bipartite graph. Usually we will choose the complete bipartite graph , for . If G is a noncomplete graph on vertices, then is the graph obtained from G by adding an edge e between any two non-adjacent vertices. Further, if f is an edge of G, then is the graph obtained from G by deleting the edge f. The join of two graphs and , denoted by , is a graph obtained from and by joining each vertex of to all vertices of .
Fernandes et al. [Citation6] and Lu et al. [Citation7] determined the graphs having distance Laplacian spectral radius of multiplicity . Further, the investigation of the graphs having some distance Laplacian eigenvalue of multiplicity was done by Ma et al. in [Citation8].
The rest of the paper is organized as follows. In Section 2, we state some preliminary results, which will be used to prove our main results. In Section 3, we characterize the graphs having distance Laplacian spectral radius of multiplicity together with one of the distance Laplacian eigenvalues as n of multiplicity either 3 or 2. In Section 4, we completely determine the graphs for which the distance Laplacian eigenvalue n is of multiplicity .
2 Preliminaries
Lemma 2.1 .
[Citation4] Let G be a graph on n vertices with Laplacian eigenvalues . Then the Laplacian eigenvalues of are given by for and .
Lemma 2.2.
[Citation1] Let G be a connected graph on n vertices with . Let be the Laplacian eigenvalues of G. Then the distance Laplacian eigenvalues of G is . Moreover, for every the eigenspaces corresponding to and are the same.
Lemma 2.3.
[Citation1] Let G be a connected graph on n vertices. Then with equality holding if and only if is disconnected. Furthermore, the multiplicity of n as a distance Laplacian eigenvalue is one less than the number of connected components of .
Lemma 2.4.
[Citation3] Let and n be integers such that and for . Let . The distance Laplacian spectrum of the complete graph is .
Lemma 2.5.
[Citation6] Let G be a connected graph of order . Then, if and only if the of G is , with .
Let . By we mean the set of all vertices which are adjacent to v in G.
Lemma 2.6.
[Citation2] Let G be a graph with n vertices. If is a clique of G such that for all , then for all and is an eigenvalue of with multiplicity at least .
Lemma 2.7.
[Citation2] Let G be a graph with n vertices. If is an independent set of G such that for all , then for all and is an eigenvalue of with multiplicity at least .
3 Multiplicity of distance Laplacian spectral radius
The following fact will be used frequently in the sequel.
Fact 1 .
A complete graph and a complete graph minus an edge are determined by their L-spectrum which is given by and , respectively.
Given a connected graph G with order , we observe that one of the following possibilities can occur.
and with multiplicity 3,
and with multiplicity 2,
and with multiplicity 1,
and .
In the following theorem, we address Cases (a) and (b), that is, we determine those graphs having the distance Laplacian spectral radius of multiplicity together with one of the distance Laplacian eigenvalue n with multiplicity 3 or 2.
Theorem 3.1.
Let G be a connected graph with order . Then
and with multiplicity 3 if and only if if , or if , or if or .
and with multiplicity 2 if and only if or or ; or ; or ; .
Proof.
Using Lemma 2.3, we note that is disconnected having 4 components and . Applying Lemmas 2.1 and 2.2, the L-spectrum of is so that every component of is either an isolated vertex or complete graphs with same order. Thus, contains less or equal to three isolated vertices, that is, if , or if , or if or . Hence, , or , or according as , or , or , or simply .
Conversely, by the help of Lemma 2.4, it is easy to see that the -spectrum of , , and are , , and , respectively.
For the graph G, let n be a distance Laplacian eigenvalue with multiplicity 2. Using Lemma 2.3, we see that has three components, say and S, that is, . This also shows that . Assume that . By application of Lemmas 2.1 and 2.2, we observe that the L-spectrum of is . We have the following possibilities.
Case 1. Let . Then L-spectrum of Q is . So, by Lemma 2.5, Q is isomorphic to . Therefore, which shows that .
Case 2. Let , . In order to find the L-spectrum of , we have to consider the following two subcases.
Subcase 2.1. Let the L-spectrum of R be . Therefore, the L-spectrum of Q is . Using Fact 1, from the above argument, it follows that and . Thus, and . From this, we obtain or where e is an edge connecting two vertices of degree .
Subcase 2.2. Let L-spectrum of R be . Therefore, the L-spectrum of Q is . Thus, . Using Lemma 2.5, we have . This shows that . Also, . Combining these two, we get . This further implies that or , a contradiction.
Case 3. Let , . To find the L-spectrum of , we see that either L-spectrum of R is and L-spectrum of Q is , or L-spectrum of R is and L-spectrum of Q is . Using Fact 1, we get , in both the cases. Hence , .
Case 4. Let , . We have to consider the following subcases.
Subcase 4.1 Let L-spectrum of S be . Then we see that the L-spectrum of R can be or . Again, using Fact 1, we get in both the cases, which is a contradiction.
Subcase 4.2 Let L-spectrum of S be . For the L-spectrum of and Fact 1, we observe that the L-spectrum of R and S is same and is given by . Clearly, , otherwise we have , which is a contradiction. Hence, in this case or , .
Case 5. Let . From the L-spectrum of and , we see that is contained in the L-spectrum of all of Q, R and S. Again, by Fact 1, we easily get . Hence , .
For the converse, taking Lemmas 2.3, 2.4, 2.6, 2.7 and the fact that the trace of a matrix equals to the sum of all its eigenvalues into consideration, it can be easily seen that the -spectrum of , where e is an edge connecting two vertices of degree , , and are , , , and , respectively. ▪
To completely characterize the connected graphs with vertices, where distance Laplacian spectral radius has multiplicity , we need to find the solution for the Cases (c) and (d), which are left as open problems.
4 Multiplicity of any distance Laplacian eigenvalue
To prove the next theorem, we need the following lemma.
Lemma 4.1.
[Citation5] Let G be a graph on vertices whose distinct Laplacian eigenvalues are . The multiplicity of is if and only if G is one of the graphs or .
Theorem 4.2.
Let G be a connected graph of order having of multiplicity one. Then with multiplicity 2 and if and only if for or or or .
Proof.
Let n be a distance Laplacian eigenvalue with multiplicity 2. Using Lemma 2.3, we observe that has 3 components and . Let , where . Using Lemmas 2.1 and 2.2, we note that the L-spectrum of is . We have the following cases to consider.
Case 1. If , then L-spectrum of F is . Applying Lemma 4.1, it is easy to see that either or . Since S and T are both isomorphic to , therefore or . This shows that G is one of the graphs and .
Case 2. If and , then L-spectrum of T is either or . The following two subcases arise.
Subcase 2.1. Let the L-spectrum of T be . So and the L-spectrum of F is . Using Fact 1, from the above argument, we observe that and . Therefore, , a contradiction.
Subcase 2.2. Let L-spectrum of T be . Therefore, L-spectrum of F is . If , then using Lemma 4.1 and Fact 1, we get from L-spectrum of T and or from L-spectrum of F, which is a contradiction. If , we have , a contradiction. If , using Lemma 4.1, from L-spectrum of F which is a again a contradiction. If , using the same arguments as above, F is one of the graphs or . gives a contradiction while as shows that .
Case 3. If and , then from the L-spectrum of , we see that either F contains three distinct Laplacian eigenvalues or T contains three distinct Laplacian eigenvalues. It suffices to consider one of the two cases. Without loss of generality, assume that T contains three distinct Laplacian eigenvalues. So the Laplacian spectrum of F is and the Laplacian spectrum of T is . Applying Lemma 4.1 and Fact 1, we get or from L-spectrum of T and from L-spectrum of F, a contradiction.
Case 4. If , then we observe from the L-spectrum of that only one component among the and S contains as a Laplacian eigenvalue. The L-spectrum of the remaining two is the same. Note that for , , which is a contradiction. Let b be the cardinality of the component containing as Laplacian eigenvalue. For , if , we observe that from the L-spectrum of the component containing as Laplacian eigenvalue and from the spectrum of remaining two components, a contradiction. Let , using Lemma 4.1, or . gives a contradiction and shows that and so that .
Conversely, noting that all the graphs in the statement of the theorem are of diameter two and using Lemmas 2.1 and 2.2, it is easy to see that the -spectrum of , , and are , , and , respectively. ▪
Now, we will completely determine the graphs for which n is a distance Laplacian eigenvalue of multiplicity .
Theorem 4.3.
Let G be a connected graph with order . Then
and with multiplicity if and only if or .
and with multiplicity if and only if or .
and with multiplicity if and only if G is isomorphic to any one of the following graphs, or or or or .
Proof.
Let n be a distance Laplacian eigenvalue of G with multiplicity and . Using Lemma 2.3, is disconnected with components and . Applying Lemmas 2.1 and 2.2, the L-spectrum of is . From the L-spectrum of , we observe that has exactly one non-zero Laplacian eigenvalue. So all the components of are either isolated vertices or complete graphs of same order. Therefore, or . This further implies that or .
Conversely, by using Lemma 2.4, we see that the -spectrum of and are respectively, and .
Now, let n be a distance Laplacian eigenvalue of G with multiplicity and . So by using the same argument as in (a), we observe that is disconnected with components, and the L-spectrum of is . Let , where , , are the components of . Clearly, either one or two or at most three components of can contain all the non-zero Laplacian eigenvalues. So we have the following cases to consider.
Case 1. Only one component contains all the non-zero Laplacian eigenvalues of . Without loss of generality, let contain all the non-zero Laplacian eigenvalues of . So the L-spectrum of is . Note that there are only six connected graphs of order 4 as shown in Figure 1. By Fact 1, only one graph has Laplacian spectral radius of multiplicity 2. Hence in this case , so that .
Case 2. Now, let two components contain all the non-zero Laplacian eigenvalues of . Without loss of generality, let and contain all the non-zero Laplacian eigenvalues of . Also, assume that contains two out of three non-zero Laplacian eigenvalues and the remaining one is contained in . Now, consider the following subcases.
Subcase 2.1. First, let the L-spectrum of be and L-spectrum of be . Therefore, and which further implies that . Hence, in this case.
Subcase 2.2. Let the L-spectrum of be and L-spectrum of be . Using Lemma 4.1 and Fact 1, from L-spectrum of , we get , and from L-spectrum of we get . Clearly, this is a contradiction.
Case 3. Let three components contain all the non-zero Laplacian eigenvalues of . Suppose that , and be those components. Without loss of generality, let their spectrum be , and . Using Fact 1, we get , which is a contradiction.
Conversely, using Lemmas 2.6 and 2.7 and the fact that the trace of a matrix equals to the sum of all its eigenvalues, we see that that -spectrum of is . From Lemma 2.4, -spectrum of is .
Using the same arguments as in part (a) and (b), we observe that the L-spectrum of is with components and . We have the following two cases to consider.
Case 4. Let . Now, if only one component, say , of contains all its non-zero Laplacian eigenvalues, then clearly L-spectrum of is given by . Among all the six connected graphs on four vertices as shown in Figure 1, only the star and the cycle have second largest Laplacian eigenvalue of multiplicity two. Thus, either or , so that either or . Therefore, or . Finally, if two or three components of contain all its non-zero Laplacian eigenvalues, then proceeding similarly as in (b), we arrive at a contradiction in both cases.
Case 5. Let . If only one component, say of contains all its non-zero Laplacian eigenvalues, then clearly L-spectrum of is given by . Among all the six connected graphs on four vertices as shown in Figure 1, only the path and the kite have all the three non-zero Laplacian eigenvalues different. Thus, or , so that or . Therefore, or . Using the arguments as in part (b), the only case that remains to be discussed is when two components, say and , of contain all its non-zero Laplacian eigenvalues and L-spectrum of one, say , is and of is . Clearly, and , so that . Therefore, .
Conversely, note that the Laplacian spectrum of graphs , , , and are , , , and , respectively. Also the complement of all these graphs are of diameter two. Using Lemmas 2.1 and 2.2, we see that the -spectrum of , , , and are , , , and , respectively. ▪
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References
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