484
Views
1
CrossRef citations to date
0
Altmetric
Research Articles

On graphs with distance Laplacian eigenvalues of multiplicity n−4

, &
Pages 282-286 | Received 20 Jun 2022, Accepted 04 Apr 2023, Published online: 08 Jun 2023

Abstract

Let G be a connected simple graph with n vertices. The distance Laplacian matrix DL(G) is defined as DL(G)=Diag(Tr)D(G), where Diag(Tr) is the diagonal matrix of vertex transmissions and D(G) is the distance matrix of G. The eigenvalues of DL(G) are the distance Laplacian eigenvalues of G and are denoted by 1L(G)2L(G)nL(G). The largest eigenvalue 1L(G) 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 n3. In this paper, we characterize the graphs having distance Laplacian spectral radius of multiplicity n4 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 n4.

AMS SUBJECT CLASSIFICATION:

1 Introduction

Throughout this paper, we consider simple and connected graphs. A simple connected graph G=(V,E) consists of the vertex set V(G)={v1,v2,,vn} and the edge set E(G). The order and size of G are |V(G)|=n and |E(G)|=m, respectively. The degree of a vertex v, denoted by dG(v) (we simply write by dv) is the number of edges incident on the vertex v. For other standard definitions, we refer to [Citation4, Citation9]. The adjacency matrix A=(aij) of G is an n×n matrix whose (i,j)-entry is equal to 1, if vi is adjacent to vj and equal to 0, otherwise. Let Deg(G)=diag(dG(v1),dG(v2),,dG(vn)) be the diagonal matrix of vertex degrees dG(vi), i=1,2,,n. The positive semi-definite matrix L(G)=Deg(G)A(G) is the Laplacian matrix of G. The eigenvalues of L(G) are called the Laplacian eigenvalues of G. The Laplacian eigenvalues are denoted by μ1(G),μ2(G),,μn(G) and are ordered as μ1(G)μ2(G)μn(G). The sequence of the Laplacian eigenvalues is called the Laplacian spectrum (briefly L-spectrum) of G. In G, the distance between two vertices u,vV(G), denoted by duv=d(u,v), is defined as the length of a shortest path between u and v. The diameter of G denoted by diam(G) is maxu,vGd(u,v), 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 D(G)=(duv)u,vV(G). The transmission TrG(v) of a vertex v is the sum of the distances from v to all other vertices in G, that is, TrG(v)=uV(G)duv. For any vertex viV(G), the transmission TrG(vi)=Tri is also called the transmission degree.

Let Diag(Tr)=Diag(Tr1,Tr2,,Trn) be the diagonal matrix of vertex transmissions of G. Aouchiche and Hansen [Citation1] defined the distance Laplacian matrix of G as DL(G)=Diag(Tr)D(G) (or simply DL). The eigenvalues of DL are called the distance Laplacian eigenvalues of G. Clearly, DL(G) is a real symmetric positive semi-definite matrix so that its eigenvalues can be ordered as 1L(G)2L(G)n1L(G)>nL(G)=0. We write iL in place of iL(G) if the graph G is clear from the context. If G has k distinct distance Laplacian eigenvalues say 1L(G),2L(G),,kL(G) with corresponding multiplicities as n1,n2,,nk, we write the distance Laplacian spectrum (briefly DL-spectrum) of G as (1L(n1),2L(n2),,kL(nk)). The largest eigenvalue 1L(G) is called the distance Laplacian spectral radius of G. We denote the multiplicity of the distance Laplacian eigenvalue iL(G) by m(iL(G)). More work on distance Laplacian eigenvalues can be seen in [Citation10–12].

As usual, Kn, Cn, Pn and Sn 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 Kin,ω is the graph obtained from a clique Kω and a path Pnω by adding an edge between an endpoint of the path and a vertex from the clique. SKn,α denotes the complete split graph, that is, the complement of the disjoint union of a clique Kα and nα isolated vertices. A complete multipartite graph is denoted by Kt1,t2,,tl, where l is the number of partite classes and t1+t2++tl=n. Throughout, we assume that t1t2tl. If l=2, it is a complete bipartite graph. Usually we will choose the complete bipartite graph Knr, r, for 1rn2. If G is a noncomplete graph on n2 vertices, then G+e 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 Gf is the graph obtained from G by deleting the edge f. The join of two graphs G1 and G2, denoted by G1G2, is a graph obtained from G1 and G2 by joining each vertex of G1 to all vertices of G2.

Fernandes et al. [Citation6] and Lu et al. [Citation7] determined the graphs having distance Laplacian spectral radius of multiplicity n3. Further, the investigation of the graphs having some distance Laplacian eigenvalue of multiplicity n3 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 n4 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 n4.

2 Preliminaries

Lemma 2.1 .

[Citation4] Let G be a graph on n vertices with Laplacian eigenvalues μ1(G)μ2(G)μn(G)=0. Then the Laplacian eigenvalues of G¯ are given by μi(G¯)=nμni(G) for i=1,,n1 and μn(G¯)=0.

Lemma 2.2.

[Citation1] Let G be a connected graph on n vertices with diam(G)2. Let μ1(G)μ2(G)μn(G)=0 be the Laplacian eigenvalues of G. Then the distance Laplacian eigenvalues of G is 2nμn1(G)2nμn2(G)2nμ1(G)>nL(G)=0. Moreover, for every i{1,2,,n1} the eigenspaces corresponding to μi(G) and 2nμi(G) are the same.

Lemma 2.3.

[Citation1] Let G be a connected graph on n vertices. Then n1L(G)n with equality holding if and only if G¯ is disconnected. Furthermore, the multiplicity of n as a distance Laplacian eigenvalue is one less than the number of connected components of G¯.

Lemma 2.4.

[Citation3] Let t1,t2,,tk and n be integers such that t1+t2++tk=n and ti1 for i=1,2,,k. Let p=|{i:ti2}|. The distance Laplacian spectrum of the complete kpartite graph Kt1,t2,,tk is ((n+t1)(t11),,(n+tp)(tp1),n(k1),0).

Lemma 2.5.

[Citation6] Let G be a connected graph of order n4. Then, GKne if and only if the Lspectrum of G is (μ1(n2),μ2,0), with μ1>μ2>0.

Let vV(G). By N(v) 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 K={v1,v2,,vp} is a clique of G such that N(vi)K=N(vj)K for all i,j{1,2,,p}, then =Tr(vi)=Tr(vj) for all i,j{1,2,,p} and +1 is an eigenvalue of DL(G) with multiplicity at least p1.

Lemma 2.7.

[Citation2] Let G be a graph with n vertices. If K={v1,v2,,vp} is an independent set of G such that N(vi)=N(vj) for all i,j{1,2,,p}, then =Tr(vi)=Tr(vj) for all i,j{1,2,,p} and +2 is an eigenvalue of DL(G) with multiplicity at least p1.

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 ((n)n1,0) and ((n)n2,n2,0), respectively.

Given a connected graph G with order n5, we observe that one of the following possibilities can occur.

  1. m(1L(G))=n4 and n1L(G)=n with multiplicity 3,

  2. m(1L(G))=n4 and n1L(G)=n with multiplicity 2,

  3. m(1L(G))=n4 and n1L(G)=n with multiplicity 1,

  4. m(1L(G))=n4 and n1L(G)n.

In the following theorem, we address Cases (a) and (b), that is, we determine those graphs having the distance Laplacian spectral radius of multiplicity n4 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 n6. Then

  1. m(1L(G))=n4 and n1L(G)=n with multiplicity 3 if and only if GKn4,n4,n4,n4 if n0(mod 4), or GKn13,n13,n13,1 if n1(mod 3), or GKn22,n22,1,1 if n2(mod 2) or GSKn,n3.

  2. m(1L(G))=n4 and n1L(G)=n with multiplicity 2 if and only if GSKn,n2+e or GKn,n3e or GKp,p,1+e; p=n123 or GKp,p,2; p=n223 or GKp,p,p+e; p=n33.

Proof.

  1. Using Lemma 2.3, we note that G¯ is disconnected having 4 components and diam(G)=2. Applying Lemmas 2.1 and 2.2, the L-spectrum of G¯ is ((1L(G)n)(n4),0,0,0,0) so that every component of G¯ is either an isolated vertex or complete graphs with same order. Thus, G¯ contains less or equal to three isolated vertices, that is, G¯Kn4Kn4Kn4Kn4 if n0(mod 4), or G¯Kn13Kn13Kn13K1 if n10(mod 3), or G¯Kn22Kn22K1K1 if n20(mod 2) or G¯Kn3K1K1K1. Hence, GKn4,n4,n4,n4, or GKn13,n13,n13,1, or GKn22,n22,1,1 according as n0(mod 4), or n10(mod 3), or n20(mod 2), or simply GSKn,n3.

    Conversely, by the help of Lemma 2.4, it is easy to see that the DL-spectrum of GKn4,n4,n4,n4, GKn13,n13,n13,1, GKn22,n22,1,1 and GSKn,n3 are (5n4(n4),n(3),0), (4n13(n4),n(3),0), (3n22(n4),n(3),0) and ((2n3)(n4),n(3),0), respectively.

  2. For the graph G, let n be a distance Laplacian eigenvalue with multiplicity 2. Using Lemma 2.3, we see that G¯ has three components, say Q, R and S, that is, G¯QRS. This also shows that diam(G)=2. Assume that |Q||R||S|. By application of Lemmas 2.1 and 2.2, we observe that the L-spectrum of G¯ is ((1L(G)n)(n4),n3L(G)n,0,0,0). We have the following possibilities.

Figure 1: All connected graphs on four vertices.

Figure 1: All connected graphs on four vertices.
  • Case 1. Let |R|=|S|=1. Then L-spectrum of Q is ((1L(G)n)(n4),n3L(G)n,0). So, by Lemma 2.5, Q is isomorphic to Kn4K2¯. Therefore, G¯(Kn4K2¯)K1K1 which shows that GSKn,n2+e.

  • Case 2. Let |R|=2, |S|=1. In order to find the L-spectrum of G¯, we have to consider the following two subcases.

  • Subcase 2.1. Let the L-spectrum of R be (n3L(G)n,0). Therefore, the L-spectrum of Q is ((1L(G)n)(n4),0). Using Fact 1, from the above argument, it follows that n3L(G)n=2 and 1L(G)n=n3. Thus, RK2 and QKn3. From this, we obtain G¯Kn3K2K1 or GSKn,n3e where e is an edge connecting two vertices of degree n3.

  • Subcase 2.2. Let L-spectrum of R be (1L(G)n,0). Therefore, the L-spectrum of Q is (1L(G)n(n5),n3L(G)n,0). Thus, RK2. Using Lemma 2.5, we have QKn5K2¯. This shows that 1L(G)n=2. Also, 1L(G)n=n3. Combining these two, we get n=5. This further implies that 1L(G)n=n3L(G)n or 1L(G)=n3L(G), a contradiction.

  • Case 3. Let |S|=1, |R|=p3. To find the L-spectrum of G¯, we see that either L-spectrum of R is ((1L(G)n)(p1),0) and L-spectrum of Q is ((1L(G)n)(np3),n3L(G)n,0), or L-spectrum of R is ((1L(G)n)(p2),n3L(G)n,0) and L-spectrum of Q is ((1L(G)n)(np2),0). Using Fact 1, we get n=2p+1, G¯KPKp2K2¯K1 in both the cases. Hence GKp,p,1+e, p=n123.

  • Case 4. Let |S|=2, |R|=p2. We have to consider the following subcases.

  • Subcase 4.1 Let L-spectrum of S be (1L(G)n,0). Then we see that the L-spectrum of R can be ((1L(G)n)(p1),0) or ((1L(G)n)(p2),n3L(G)n,0). Again, using Fact 1, we get 1L(G)=n3L(G) in both the cases, which is a contradiction.

  • Subcase 4.2 Let L-spectrum of S be (n3L(G)n,0). For the L-spectrum of G¯ and Fact 1, we observe that the L-spectrum of R and S is same and is given by ((1L(G)n)(p1),0). Clearly, p3, otherwise we have 1L(G)=n3L(G), which is a contradiction. Hence, in this case G¯KPKpK2 or GKp,p,2, p=n223.

  • Case 5. Let p=|S|3. From the L-spectrum of G¯ and |Q||R||S|=p3, we see that 1L(G)n is contained in the L-spectrum of all of Q, R and S. Again, by Fact 1, we easily get G¯KpKpKp2K2¯. Hence GKp,p,p+e, p=n33.

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 DL-spectrum of GSKn,n2+e, GSKn,n3e where e is an edge connecting two vertices of degree n3, GKp,p,1+e, GKp,p,2 and GKp,p,p+e are ((2n2)(n4),2n4,n(2),0), ((2n3)(n4),n+2,n(2),0), ((3n12)(n4),3n52,n(2),0), ((3n22)(n4),n+2,n(2),0) and ((4n3)(n4),4n63,n(2),0), respectively. ▪

To completely characterize the connected graphs with n5 vertices, where distance Laplacian spectral radius has multiplicity n4, 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 n3 vertices whose distinct Laplacian eigenvalues are 0<α<β. The multiplicity of α is n2 if and only if G is one of the graphs Kn2,n2 or Sn.

Theorem 4.2.

Let G be a connected graph of order n5 having 1L(G) of multiplicity one. Then n1L(G)=n with multiplicity 2 and m(n3L(G))=n4 if and only if GS3(K2K2) for n=7 or G(Kn1K1)+2e or GK2(Kn22Kn22) or GKn4,n4(Kn4Kn4).

Proof.

Let n be a distance Laplacian eigenvalue with multiplicity 2. Using Lemma 2.3, we observe that G¯ has 3 components and G¯. Let G¯FTS, where |F||T||S|. Using Lemmas 2.1 and 2.2, we note that the L-spectrum of G¯ is (1L(G)n,(n3L(G)n)(n4),0,0,0). We have the following cases to consider.

  • Case 1. If |S|=|T|=1, then L-spectrum of F is (1L(G)n,(n3L(G)n)(n4),0). Applying Lemma 4.1, it is easy to see that either FSn2 or FKn22,n22. Since S and T are both isomorphic to K1, therefore G¯Sn2K1K1 or G¯Kn22,n22K1K1 . This shows that G is one of the graphs (Kn1K1)+2e and K2(Kn22Kn22).

  • Case 2. If |S|=1 and |T|=2, then L-spectrum of T is either (1L(G)n,0) or (n3L(G)n,0). The following two subcases arise.

  • Subcase 2.1. Let the L-spectrum of T be (1L(G)n,0). So TK2 and the L-spectrum of F is ((n3L(G)n)(n4),0). Using Fact 1, from the above argument, we observe that 1L(G)n=2 and n3L(G)n=n32. Therefore, n3L(G)1L(G), a contradiction.

  • Subcase 2.2. Let L-spectrum of T be (n3L(G)n,0). Therefore, L-spectrum of F is (1L(G)n,(n3L(G)n)(n5),0). If n8, then using Lemma 4.1 and Fact 1, we get n3L(G)n=2 from L-spectrum of T and n3L(G)n=1 or n3L(G)n=n32 from L-spectrum of F, which is a contradiction. If n=5, we have n3L(G)=1L(G), a contradiction. If n=6, using Lemma 4.1, n3L(G)n=1 from L-spectrum of F which is a again a contradiction. If n=7, using the same arguments as above, F is one of the graphs S4 or K2,2. FS4 gives a contradiction while as FK2,2 shows that GS3(K2K2).

  • Case 3. If |S|=1 and k=|T|3, then from the L-spectrum of G¯, 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 ((n3L(G)n)(nk2),0) and the Laplacian spectrum of T is (1L(G)n,(n3L(G)n)(k2),0). Applying Lemma 4.1 and Fact 1, we get n3L(G)n=1 or k2 from L-spectrum of T and n3L(G)n=nk1 from L-spectrum of F, a contradiction.

  • Case 4. If |S|2, then we observe from the L-spectrum of G¯ that only one component among the F, T and S contains 1L(G)n as a Laplacian eigenvalue. The L-spectrum of the remaining two is the same. Note that for n=6, n3L(G)=1L(G), which is a contradiction. Let b be the cardinality of the component containing 1L(G)n as Laplacian eigenvalue. For n7, if b=2, we observe that 1L(G)n=2 from the L-spectrum of the component containing 1L(G)n as Laplacian eigenvalue and n3L(G)n2 from the spectrum of remaining two components, a contradiction. Let b3, using Lemma 4.1, n3L(G)n=1 or n3L(G)n=b2. n3L(G)n=1 gives a contradiction and n3L(G)n=b2 shows that n=2b and G¯Kb2,b2Kb2Kb2 so that GKn4,n4(Kn4Kn4).

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 DL-spectrum of GS3(K2K2), GKn(n3)e, GK2(Kn22Kn22) and GKn4,n4(Kn4Kn4) are (11,9(3),7(2),0), (2n2,(n+1)(n4),n(2),0), (2n2,(3n22)(n4),n(2),0) and (3n2,(5n4)(n4),n(2),0), respectively. ▪

Now, we will completely determine the graphs for which n is a distance Laplacian eigenvalue of multiplicity n4.

Theorem 4.3.

Let G be a connected graph with order n5. Then

  1. m(1L(G))=3 and n1L(G)=n with multiplicity n4 if and only if GK4,1,,1 or GK2,2,2,1,,1.

  2. m(1L(G))=2 and n1L(G)=n with multiplicity n4 if and only if GSKn,4+e or GK3,2,1,,1.

  3. m(1L(G))=1 and n1L(G)=n with multiplicity n4 if and only if G is isomorphic to any one of the following graphs, S4(n¯4)K1¯ or C4(n¯4)K1¯ or P4(n¯4)K1¯ or Ki4,3(n¯4)K1¯ or S3K2(n¯5)K1¯.

Proof.

  1. Let n be a distance Laplacian eigenvalue of G with multiplicity n4 and m(1L(G))=3. Using Lemma 2.3, G¯ is disconnected with n3 components and diam(G)=2. Applying Lemmas 2.1 and 2.2, the L-spectrum of G¯ is ((1L(G)n)3,0,0,,0). From the L-spectrum of G¯, we observe that G¯ has exactly one non-zero Laplacian eigenvalue. So all the components of G¯ are either isolated vertices or complete graphs of same order. Therefore, G¯K4(n4)K1 or G¯K2K2K2(n6)K1. This further implies that GK4,1,,1 or GK2,2,2,1,,1.

    Conversely, by using Lemma 2.4, we see that the DL-spectrum of SKn,4 and K2,2,2,1,,1 are respectively, ((n+4)3,n(n4),0) and ((n+2)3,n(n4),0).

  2. Now, let n be a distance Laplacian eigenvalue of G with multiplicity n4 and m(1L(G))=2. So by using the same argument as in (a), we observe that G¯ is disconnected with n3 components, diam(G)=2 and the L-spectrum of G¯ is ((1L(G)n)2,3L(G)n,0,,0). Let G¯G1G2Gn3, where Gi, i=1,2,,n3, are the components of G¯. Clearly, either one or two or at most three components of G¯ 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 G¯. Without loss of generality, let G1 contain all the non-zero Laplacian eigenvalues of G¯. So the L-spectrum of G1 is ((1L(G)n)2,3L(G)n,0). Note that there are only six connected graphs of order 4 as shown in Figure 1. By Fact 1, only one graph (K4e) has Laplacian spectral radius of multiplicity 2. Hence in this case G¯(K4e)(n4)K1, so that GSKn,4+e.

    • Case 2. Now, let two components contain all the non-zero Laplacian eigenvalues of G¯. Without loss of generality, let G1 and G2 contain all the non-zero Laplacian eigenvalues of G¯. Also, assume that G1 contains two out of three non-zero Laplacian eigenvalues and the remaining one is contained in G2. Now, consider the following subcases.

      Subcase 2.1. First, let the L-spectrum of G1 be ((1L(G)n)2,0) and L-spectrum of G2 be (3L(G)n,0). Therefore, G1K3 and G2K2 which further implies that G¯K3K2(n5)K1. Hence, GK3,2,1,,1 in this case.

      Subcase 2.2. Let the L-spectrum of G1 be (1L(G)n,3L(G)n,0) and L-spectrum of G2 be (1L(G)n,0). Using Lemma 4.1 and Fact 1, from L-spectrum of G1, we get 1L(G)n=3, and from L-spectrum of G2 we get 1L(G)n=2. Clearly, this is a contradiction.

    • Case 3. Let three components contain all the non-zero Laplacian eigenvalues of G¯. Suppose that G1, G2 and G3 be those components. Without loss of generality, let their spectrum be (1L(G)n,0), (1L(G)n,0) and (3L(G)n,0). Using Fact 1, we get 1L(G)=3L(G), 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 DL-spectrum of SKn,4+e is ((n+4)2,n+2,n(n4),0). From Lemma 2.4, DL-spectrum of K3,2,1,,1 is ((n+3)2,n+2,n(n4),0).

  3. Using the same arguments as in part (a) and (b), we observe that the L-spectrum of G¯ is (1L(G)n,2L(G)n,3L(G)n,0,,0) with n3 components and diam(G)=2. We have the following two cases to consider.

    • Case 4. Let 2L(G)=3L(G). Now, if only one component, say G1, of G¯ contains all its non-zero Laplacian eigenvalues, then clearly L-spectrum of G1 is given by (1L(G)n,(2L(G)n)(2),0). 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 G1S4 or G1C4, so that either G¯S4(n4)K1 or G¯C4(n4)K1. Therefore, GS4(n¯4)K1¯ or GC4(n¯4)K1¯. Finally, if two or three components of G¯ contain all its non-zero Laplacian eigenvalues, then proceeding similarly as in (b), we arrive at a contradiction in both cases.

    • Case 5. Let 2L(G)3L(G). If only one component, say G1 of G¯ contains all its non-zero Laplacian eigenvalues, then clearly L-spectrum of G1 is given by (1L(G)n,2L(G)n,3L(G)n,0). Among all the six connected graphs on four vertices as shown in Figure 1, only the path P4 and the kite Ki4,3 have all the three non-zero Laplacian eigenvalues different. Thus, G1P4 or G1Ki4,3, so that G¯P4(n4)K1 or G¯Ki4,3(n4)K1. Therefore, GP4(n¯4)K1¯ or GKi4,3(n¯4)K1¯. Using the arguments as in part (b), the only case that remains to be discussed is when two components, say G1 and G2, of G¯ contain all its non-zero Laplacian eigenvalues and L-spectrum of one, say G1, is (1L(G)n,3L(G)n,0) and of G2 is (2L(G)n,0). Clearly, G1S3 and G2K2, so that G¯S3K2(n5)K1. Therefore, GS3K2(n¯5)K1¯.

Conversely, note that the Laplacian spectrum of graphs S4(n4)K1, C4(n4)K1, P4(n4)K1, Ki4,3(n4)K1 and S3K2(n5)K1 are (4,1(2),0(n3)), (4sin2(π4),4sin2(2π4),4sin2(3π4),0(n3)), (4sin2(π8),4sin2(2π8),4sin2(3π8),0(n3)), (4,3,1,0(n3)) and (3,2,1,0(n3)), respectively. Also the complement of all these graphs are of diameter two. Using Lemmas 2.1 and 2.2, we see that the DL-spectrum of S4(n¯4)K1¯, C4(n¯4)K1¯, P4(n¯4)K1¯, Ki4,3(n¯4)K1¯ and S3K2(n¯5)K1¯ are (n+4,(n+1)2,n(n4),0), (n+4,(n+2)2,n(n4),0), (n+4sin2(3π8),n+4sin2(2π8),n+4sin2(π8),n(n4),0), (n+4,n+3,n+1,n(n4),0) and (n+3,n+2,n+1,n(n4),0), respectively. ▪

Data availability statement

Data sharing is not applicable to this article as no data sets were generated or analyzed during the current study.

Additional information

Funding

The research of S. Pirzada is supported by SERB-DST, New Delhi under the research project number CRG/2020/000109. The research of Saleem Khan is supported by MANUU.

References

  • Aouchiche, M., Hansen, P. (2013). Two Laplacians for the distance matrix of a graph. Linear Algebra Appl. 439(1): 21–33.
  • Aouchiche, M., Hansen, P. (2014). Some properties of the distance Laplacian eigenvalues of a graph. Czechoslovak Math. J. 64(139):751–761.
  • Aouchiche, M., Hansen, P. (2017). Distance Laplacian eigenvalues and chromatic number in graphs. Filomat 31(9): 2545–2555.
  • Cvetkovic´, D., Rowlinson, P., Simic´, S. (2010). An Introduction to the Theory of Graph Spectra. New York: Cambridge University Press.
  • Das, K. C. (2007). A sharp upper bound for the number of spanning trees of a graph. Graphs Comb. 23: 625–632.
  • Fernandes, R., Aguieiras, M., de Freitas, A., da Silva Jr., C. M., Del-Vecchio, R. R. (2018). Multiplicities of distance Laplacian eigenvalues and forbidden subgraphs. Linear Algebra Appl. 541: 81–93.
  • Lu, L., Huang, Q., Huang, X. (2017). On graphs with distance Laplacian spectral radius of multiplicity n−3. Linear Algebra Appl. 530: 485–499.
  • Ma, X., Qi, L., Tian, F., Wong, D. (2018). Graphs with some distance Laplacian eigenvalue of multiplicity n−3. Linear Algebra Appl. 557: 307–326.
  • Pirzada, S. (2012). An Introduction to Graph Theory. Hyderabad, India: Universities Press.
  • Pirzada, S., Khan, S. (2021). On distance Laplacian spectral radius and chromatic number of graphs. Linear Algebra Appl. 625: 44–54.
  • Pirzada, S., Khan, S. (2023). On the sum of distance Laplacian eigenvalues of graphs. Tamkang J. Math. 54(1): 83–91.
  • Pirzada, S., Khan, S. Distance Laplacian eigenvalues of graphs and chromatic and independence number. Revista de la Unin Matemtica Argentina.