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Linear Algebra and its Applications 436 (2012) 2630 2637 Contents lists available at SciVerse ScienceDirect Linear Algebra and its Applications journal homepage: www.elsevier.com/locate/laa The line graphs of lollipop graphs are determined by their spectra < Jianfeng Wang a,, Shuning Shi b a Department of Mathematics, Qinghai Normal University, Xining, Qinghai 810008, PR China b Human Resources Department, Qinghai Normal University, Xining, Qinghai 810008, PR China ARTICLE INFO Article history: Received 4 July 2011 Accepted 27 October 2011 Availableonline25November2011 Submitted by R.A. Brualdi AMS classification: 05C50 Keywords: Adjacency matrix Spectral characterization Least eigenvalue 2 Line graph Lollipop graph ABSTRACT Haemers et al. [W.H. Haemers, X.G. Liu, Y.P. Zhang, Spectral characterizations of lollipop graphs, Linear Algebra Appl. 428 (2008) 2415 2423] first investigated the spectral characterizations of the so called lollipop graphs H n g,l with order n, which is obtained by identifying a vertex of a cycle with order g and a pendent vertex of a path with order l. For the graphs with least eigenvalue at least 2, Cvetković and Lepović [D. Cvetković, M. Lepović, Cospectral graphs with least eigenvalue at least 2, Publ. Inst. Math. Nouv. Sér. 78(92) (2005) 51 63] introduced the discriminant and the star value of a graph, whose relations are investigated in this paper. Employing this relation and other techniques, we prove that all line graphs of lollipop graphs are determined by their adjacency spectra. 2011 Elsevier Inc. All rights reserved. 1. Introduction In this paper, we are concerned only with undirected simple graphs (loops and multiple edges are not allowed). All notions on graphs that are not defined here can be found in [6]. For a graph G = (V(G), E(G)), let n(g), m(g), l(g) and A = A(G) be respectively the order, size, line graph and adjacency matrix of G. For some vertex v i V(G), letd i = d(v i ) stand for the degree of v i and d(g) the average degree of G.We denote the characteristic polynomial det(λi A) of G by φ(g,λ) or simply φ(g). The adjacency spectrum of G, denoted by Spec(G), is the multiset of eigenvalues of A(G). Since A(G) is symmetric, its eigenvalues are real and we set λ 1 (G) λ 2 (G) λ n(g) (G). The maximum < Supported by National Natural Science Foundation of China (No. 10961023), National Natural Science Foundation of China for Young Scholar (No. 11101232), National Natural Science Foundation of Qinghai Province for Young Scholar (No. 2011-Z-929Q) and Scientific Research Innovation Program of Qinghai Normal University. Corresponding author. E-mail addresses: jfwang4@yahoo.com.cn (J. Wang), shuningshi@yahoo.com.cn (S. Shi). 0024-3795/$ - see front matter 2011 Elsevier Inc. All rights reserved. doi:10.1016/j.laa.2011.10.024

J. Wang, S. Shi / Linear Algebra and its Applications 436 (2012) 2630 2637 2631 Fig. 1. The graphs W n, T 6, a lollipop graph H n g,l and its line graph Hn g,l. eigenvalue λ 1 (G) of G is called the spectral radius (or index) ofg and it is often denoted by ρ(g) = ρ. Additionally, let λ min (G) denote the least eigenvalue of G. Two graphs G and H are said to be A-cospectral if Spec(G) = Spec(H). AgraphG is said to be determined by the A-spectrum (or simply a DAS-graph) if there is no other non-isomorphic graph A- cospectral to it, i.e., Spec(H) = Spec(G) implies G = H for any graph H. The background of the question which graphs are determined by their spectrum?" originates from Chemistry (in 1956, Günthard and Primas [18] raised this question in the context of Hückel s theory). For additional remarks on the topic we refer the readers to [13,14]. There are many papers on A-cospectral graphs and the methods used to construct them (see [16,19,25] for example). By contrast, the question of determining what kinds of graphs are DAS-graphs is far from resolved. Some other notation and terminology are also needed. Let G 1 G 2 denote the disjoint union of graphs G 1 and G 2, and kg 1 the disjoint union of k copies of G 1.Letn G (H) denote the number of subgraphs isomorphic to H in graph G.Asusual,letP n and C n denote the path and the cycle of order n respectively. Let H n g,l be the lollipop graph with order n obtained from C g and P l by identifying a vertex of C g and apendentvertexofp l (see Fig. 1). The well-known cocktail-party graph CP(k) is obtained from the complete graph K 2k by removing k disjoint edges. Hoffman [22] introduced the generalized line graph as follows: for any graph H with n vertices v 1, v 2,...,v n and any non-negative integers a 1, a 2,...,a n, then the generalized line graph L(H; a 1, a 2,...,a n ) is the graph consisting of disjoint copies of l(h) and CP(a i ) together with additional edges joining a vertex in l(h) withavertexincp(a i ) if the vertex in l(h) correspondingtoanedgeinh has v i as an end-vertex (i = 1, 2,...,n). It is well-known that the generalized line graphs are related to the following famous and important theorem: Theorem 1.1 (Cameron et al. [4]). Let G be a connected graph with least eigenvalue at least 2,Then (i) G is a generalized line graph, or (ii) G can be represented by vectors in the root system E 8. Moreover, the order n(g) and the average degree d(g) of G are restricted by n(g) min{36, 2d(G) + 8}. Cvetković[5] gave a new name of the graph represented by vectors in the root system E 8 as follows: Definition 1.1. An exceptional graph is a connected graph with least eigenvalue greater than or equal to 2 which is not a generalized line graph. Graphs with least eigenvalue at least 2 have been studied since the very beginnings of the theory of graphs spectra. Much information on this field can be found in the books [2,11,17]. It is an interesting problem to find which graphs with least eigenvalue at least 2areA-cospectral graphs or DAS-graphs. Here we mention some known results. Cvetković and Lepović[8,9] studied the phenomenon of A-cospectrality in generalized line graphs and in exceptional graphs. For the regular DAS-graphs with least eigenvalue at least 2, van Dam and Haemers [13] gave an almost complete answer (see their Theorem 8). More results on A-cospectral graphs may be found in Section 4.2 of [11]. However, for the non-regular case, van Dam and Haemers [13] stated that the following question remains open. Problem 1.1. Which non-regular graphs with least eigenvalue at least 2 are DAS-graphs? In this paper we will investigate such a graph in Problem 1.1, i.e., the line graph of a lollipop graph. The paper is organized as follows: In Section 2 we cite some results of graphs with least eigenvalue at

2632 J. Wang, S. Shi / Linear Algebra and its Applications 436 (2012) 2630 2637 least 2 and define an important graph invariant which will be helpful in proving our main results. In Section 3 we prove that the line graphs of lollipop graphs are determined by their spectra. 2. Basic results and an invariant of graphs with least eigenvalue at least 2 Doob and Cvetković[15] characterized all connected graphs with the least eigenvalue greater than 2 in the theorem below: Theorem 2.1 (Doob and Cvetković [15]). Let G be a connected graph with λ min (G) > 2. Then (i) G G 1 ={l(t) Tisatree}; (ii) G G 2 ={L(T; 1, 0,...,0) Tisatree}; (iii) G G 3 ={l(h) H is an odd-unicyclic graph}; (iv) G G 4 ={20 graphs with order 6 that are represented in E 6 }; (v) G G 5 ={110 graphs with order 7 that are represented in E 7 }; (vi) G G 6 ={443 graphs with order 8 that are represented in E 8 }. For convenience, in what follows we set L ={G G is a connected graph and λ min (G) 2}, L + ={G G is a connected graph and λ min (G) > 2} and L 0 ={G G is a connected graph and λ min (G) = 2}. Clearly,L = L + L 0 and L + = G 1 G 2 G 3 G 4 G 5 G 6.AgraphinL (L + or L 0 ) is called an L -graph (L + -graph or L 0 -graph) (see [10]). For the L + -graphs we have the following: Theorem 2.2 (Brouwer et al. [2]). Let G be a L + -graph with order n. Then n + 1 if G G 1 ; 4 if G G 2 G 3 ; det(2i + A(G)) = 3 if G G 4 ; 2 if G G 5 ; 1 if G G 6. We next review two definitions introduced by Cvetković and Lepović [10], and investigate their relations. Cvetković and Lepović [10] adopted the nomenclature from lattice theory and defined d G = ( 1) n φ(g, 2) (1) as thediscriminant of an L -graphg. Additionally, for an L -graphg they obtained an important graph invariant named star value and showed that its formula is S = ( 1)n (n k)! φ(n k) (G,λ 2) = ( 1) n G (0) = k (λ i + 2), (2) where φ (p) (x) denotes the pth derivative function of φ(x), G (λ) = k (λ (λ i=1 i+2)) (it is called the principal polynomial of G [10]) andλ 1,λ 2,...,λ k are the eigenvalues greater than 2ofG. Additionally, it is easy to see φ(g,λ 2) = λ n k G (λ).thus,ifg is an L + -graph, then n = k and so φ(g, 2) = G (λ). Hence, the relation between the discriminant and the star value of G are stated as follows: Conclusion: Let G be an L -graph. (i) If G is an L 0 -graph, then d G = 0 < S; (ii) If G is an L + -graph, then d G = S. i=1

J. Wang, S. Shi / Linear Algebra and its Applications 436 (2012) 2630 2637 2633 Due to the above conclusion, for the L -graph we uniformly use the nomenclature star value". Now we synthesize the above facts into the following definition and give a visualized notation to the star value: Definition 2.1. Let G be an L -graph of order n and G (λ) the principal polynomial of G. Then the star value of G is defined as ( 1) n G (0) if G L 0 ;.(G) = ( 1) n φ(g, 2) if G L +. The following corollary is an immediate consequence of Definition 2.1: Corollary 2.1. Let G = k i=1 G i and H be two L -graphs. Then (i).(g) = k i=1.(g i); (ii) if G and H are A-cospectral, then.(g) =.(H). Corollary 2.1(ii) indicates that the star value of a graph is a graph invariant determined by the spectrum. The readers will see that it will play an important role in studying the spectral characterization of graphs with least eigenvalue at least 2. Note that φ(g, 2) = det( 2I A(G)) = ( 1) n det(2i + A(G)), where n is the order of G. Hence, det(2i + A(G)) = ( 1) n φ(g, 2) and so the following corollary follows from Theorem 2.2 and Definition 2.1: Corollary 2.2. Let G be an L + -graph with order n. Then n + 1 if G G 1 ;.(G) = 4 if G G 2 G 3 ; 3 if G G 4 ; 2 if G G 5 ; 1 if G G 6. 3. Spectral characterization of line graphs of lollipop graphs About the spectral characterizations of lollipop graphs, Haemers et al. [20] first investigate the spectral characterizations of lollipop graphs; Boulet and Jouve [1] prove that all lollipop graphs are determined by the adjacency spectra; recently, Zhang et al. [29] obtain that the lollipop graph is determined by its Q-spectrum with an erratum in [21]. Note that two root graphs of A-cospectral line graphs need not to be Q-cospectral (see Theorem 2.5 in [12]). Hence, even if the lollipop graph has been proved to be a DQS-graph, it is helpless to investigate whether or not the line graph of a lollipop graph is a DAS-graph. In this section we study the spectral characterization of line graphs of lollipop graphs H n g,l and set g 3, l 2. For convenience, set L n g,l = l(h n g,l ).Ifl = 2, then Ln g,2 is a θ-graph θ 1,2,g 2 which has been shown to be a DAS-graph [26,28]. In what follows we will directly use a well-known fact that if G and H are A-cospectral graphs, then they respectively share the same numbers of order, size and closed walks of any length. The graphs used are shown as follows:

2634 J. Wang, S. Shi / Linear Algebra and its Applications 436 (2012) 2630 2637 Lemma 3.1 (Hoffman and Smith [23]). Let uv be an edge of the connected graph G and let G uv be obtained from G by subdividing the edge uv of G. (1) If uv is not in an internal path of G and if G = C n,thenρ(g uv )>ρ(g). (2) If uv belongs to an internal path of G and G = W n (see Fig. 1), then ρ(g uv )<ρ(g). Lemma 3.2. No two non-isomorphic line graphs of lollipop graphs are A-cospectral. Proof. Assume that G = L n g,l and H = Ln g,l are A-cospectral. Then g + l = g + l. Making use of Schwenk s formula ([6, pp.78]) we get φ(g,λ)= λφ(c g )φ(p l 2 ) φ(c g )φ(p l 3 ) 2φ(P g 1 )φ(p l 2 ) 2φ(P g 2 )φ(p l 2 ) 2φ(P l 1 ). Since φ(c n, 2) = 0 and φ(p n, 2) = n + 1([24, Lemma4])wededucethat φ(g, 2) = 4g(l 1) + 2. (3) Similarly, we have φ(h, 2) = 4g (l 1) + 2. Then g(l 1) = g (l 1). Solving the following equations g + l = g + l g(l 1) = g (l 1) we obtain g = g, l = l or g = l 1, l = g + 1. In the latter case, if g = l 1, then we are done. Otherwise, we show that the latter is impossible. Assume that l = g + 1, g = l 1 and g = l 1. Then H = L n l 1,g+1. We compare the spectral radii of G and H.Ifg > l 1, then by Lemma 3.1 we get ρ(g) <ρ(h). Ifg < l 1, then by Lemma 3.1 again we get ρ(g) >ρ(h). Both of them contradict ρ(g) = ρ(h). Lemma 3.3. Let H be a graph A-cospectral to the line graph L n g,l.thenλ 2(H) <2 <ρ(h). Proof. Since L n g,l contains C g as its proper subgraph, then ρ(h) = ρ(l n g,l )>ρ(c g) = 2. Let u denote the vertex of degree 3 lying in the cycle C g of L n g,l. By Interlace theorem ([17, Theorem 9.1.1]) and ρ(p a )<2weget that λ 2 (H) = λ 2 (L n ) g,l ρ(ln u) = g,l ρ(p n 1) <2. Lemma 3.4. Let H be a graph A-cospectral with the line graph L n g,l. Then the degree sequence of H belongs to the set deg(h) ={(2 n 1, 4), (1, 2 n 4, 3 3 )}. Proof. Let a k be the number of vertices of degree k of H and let be the maximum degree of H.Since H and L n g,l have the same order and size, then a k = n and ka k = 2(n + 1). (4) k=0 k=0 Moreover, since H and L n g,l have the same number of closed walks of length four, then k 2 a k + 4n G (C 4 ) = 4n + 12. (5) k=0 From (4) and (5) it follows that (k 2 3k + 2)a k + 4n G (C 4 ) = 6. (6) k=0

J. Wang, S. Shi / Linear Algebra and its Applications 436 (2012) 2630 2637 2635 Fig. 2. Bicyclic graphs with degree sequence (2 n 1, 4) or (1, 2 n 4, 3 3 ). Thus, for k 5wegeta k = 0 and a 4 {0, 1}.Ifa 4 = 1, from (6) we obtain that n G (C 4 ) = a 0 = a 1 = a 3 = 0 and a 2 = n 1. Then the degree sequence of H is (2 n 1, 4).Ifa 4 = 0, then n G (C 4 ) {0, 1}.If n G (C 4 ) = 1, then a 0 + a 3 = 1. Note that n H (C 3 ) = n Lg,n g (C 3 ) = 1 and λ 2 (H) <2 (see Lemma 3.3). Hence, C 3 and C 4 must belong to one connected component of H and therefore a 3 2, a contradiction. If n G (C 4 ) = 0, then a 0 + a 3 = 3. If a 3 = 0, then a 0 = 3, a 1 = 8 and a 2 = n + 5, a contradiction. If a 3 = 1, then a 0 = 2, a 1 = 5 and a 2 = n + 2, a contradiction. If a 3 = 2, then a 0 = 1, a 1 = 2 and a 2 = n 5, a contradiction. If a 3 = 0, then a 0 = 0, a 1 = 1 and a 2 = n 4. So, another possible degree sequence (1, 2 n 4, 3) is obtained. Consider the graphs H 1 to H 10 presented in Fig. 2. These graphs are bicyclic with order n and degree sequences (2 n 1, 4) or (1, 2 n 4, 3 3 ), the first six contain just one triangle. The girth of the cycles except the triangle in each H i is at least 4 (i.e., g i 4, 1 i 6). Set H 1 ={H i 1 i 6}, H 2 ={H i 7 i 10} and H 3 ={H i 1 i 7, i = 5}. Corollary 3.1. Let H be a connected graph A-cospectral with the line graph L n g,l.then (i) If g = 3, thenh H 2 ; (ii) If g 4, thenh H 1. Proof. Since H is a connected graph A-cospectral with L n g,l,thenm(h) = n(h) + 1 = n + 1 and n H (C 3 ) = n L n (C 3). Ifg = 3, then n g,l H (C 3 ) = 2, and so H H 2 by Lemma 3.4. Ifg 4, then n H (C 3 ) = 1, and so H H 1 by Lemma 3.4 again. Lemma 3.5. Let H H 3. If H is an exceptional graph, then n(h) 12;moreover,theindexofHachieves maximum if and only if H is one of six graphs in Fig. 3. Proof. Since H H 3 H 1 H 2,thendeg(H) ={(2 n 1, 4), (1, 2 n 4, 3 3 )}. Hence, the average degree of H is d(h) = 2 + 2/n and so n(h) 12 by Theorem 1.1(ii). For each H H 3, in order that the index of H is maximum, from Lemma 3.1 we can make the internal path as short as possible and the non-internal path as long as possible. Therefore, H is one of six graphs in Fig. 3. Lemma 3.6. Let H H 3. Then H can not be A-cospectral to the graph L n g,l with even g. Proof. If each g i in H i (1 i 6, i = 5) is equal to four, then each H i (1 i 6, i = 5) contains the subgraph H4,2 5 ;Ifg i 5(1 i 6, i = 5), then each graph in H 3 contains the subgraph T 6 or H5,2 6.Cvetković, Doob, and Simić determined all the forbidden subgraphs of generalized line graphs in Theorem 4.11 [7]; they include H4,2 5, H6 5,2 and T 6 which are denoted respectively by G 2, G 19 and

2636 J. Wang, S. Shi / Linear Algebra and its Applications 436 (2012) 2630 2637 Fig. 3. Exceptional graphs in H 3 with maximum index. G 18 in their paper. Therefore, all graphs in H 3 are not generalized line graphs, which implies that H H 3 is an exceptional graph. By Lemma 3.5 we know n(h) 12. From Lemma 3.1 it follows that ρ(l n ) g,l ρ(l6 ) 4,3 2.562 and so ρ(ln g,l ) 2.562 > max{ρ(h) n(h) 12} 2.555 by Lemma 3.5 again. Consequently, H can not be A-cospectral to the graph L n g,l with even g. Theorem 3.1. The line graph L n g,l is a DAS-graph. Proof. Let H be any graph A-cospectral to L n.thenn(h) = g,l n, m(h) = n + 1, n H(C 3 ) = n L n (C 3), g,l λ min (H) = λ min (L n ) g,l 2 and.(h) =.(Ln g,l ). We first show the following claim: Claim. H is a connected graph. Assume by way of contradiction that H = H 1 H 2 H k, where k > 1 and H i (i = 1, 2,...,k) is a connected component of H. Without loss of generality, set ρ(h) = ρ(h 1 ) = ρ(l n g,l ). From Lemma 3.3 it follows that λ 2 (H) = max{λ 2 (H 1 ), ρ(h i ) 2 i k} < 2, which implies that H i (2 i k) is one of the following Smith s graphs [27]: H i {P a, T 1,1,c, T 1,2,2, T 1,2,3, T 1,2,4 a, c 1}. (7) Note that P 1 = u is a vertex of degree 0 and each H i (2 i k) has at least two vertices of degree 1. This contradicts Lemma 3.4. According to the parity of g, we distinguish two cases: Case 1: g is even.thenl n g,l has the least eigenvalue λ min (Ln g,l ) = 2with multiplicity one (see [3, Theorem 1.4(i)]), so does H.Thus,H is one of graphs described in Theorem 1.1. By Corollary 3.1 we get H H 1 H 2.NotethatH 8 and H 10 are the line graphs of two trees. Therefore, H H 1 (H 2 \{H 8, H 10 }). It is clear that if H = H 5,thenH = L n g,l with g 4; if H = H 9,thenH = L n 3,l which can not be A-cospectral to = L n g,l with even g by Lemma 3.2.Consequently,H (H 1 H 2 )\({H 5, H 8, H 10 }) and the left work is to show H H 3 ={H i 1 i 7, i = 5}. Assume that H H 3. By Lemma 3.6, H and L n g,l can not be A-cospectral graph, a contradiction. Case 2. g is odd. FromTheorem2.1 and Corollary 2.2 we get λ min (H) > 2 and.(h) = 4. Thus, H G 2 G 3. Let H G 2.ThenH = L(T; 1, 0,...,0), where T is a tree. If n H (C 3 ) = 3 (i.e., g = 3), then T contains exactly two vertices of degree 3, contradicting to Lemma 3.4. Ifn H (C 3 ) = 1, then T has only one vertex of degree 3, contradicting Lemma 3.4 again. Set H G 3.ThenH = l(u), where U is an odd-unicyclic graph. If n H (C 3 ) = 2 (i.e., g = 3), then H H 2 by Corollary 3.1(i). Since U is an odd-unicyclic graph, we deduce that H must be H 9 (corresponding to U = H n 3,l ), and so H = L n 3,l.Ifn H(C 3 ) = 1 (i.e., g 4), then H H 1 by Corollary

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