The distance spectral radius of graphs with given number of odd vertices
|
|
- Ambrose Elijah Cole
- 5 years ago
- Views:
Transcription
1 Electronic Journal of Linear Algebra Volume 31 Volume 31: (016 Article The distance spectral radius of graphs with given number of odd vertices Hongying Lin South China Normal University, lhongying0908@16.com Bo Zhou South China Normal University, zhoubo@scnu.edu.cn Follow this and additional works at: Part of the Algebra Commons, and the Discrete Mathematics and Combinatorics Commons Recommended Citation Lin, Hongying and Zhou, Bo. (016, "The distance spectral radius of graphs with given number of odd vertices", Electronic Journal of Linear Algebra, Volume 31, pp DOI: This Article is brought to you for free and open access by Wyoming Scholars Repository. It has been accepted for inclusion in Electronic Journal of Linear Algebra by an authorized editor of Wyoming Scholars Repository. For more information, please contact scholcom@uwyo.edu.
2 THE DISTANCE SPECTRAL RADIUS OF GRAPHS WITH GIVEN NUMBER OF ODD VERTICES HONGYING LIN AND BO ZHOU Abstract. The graphs with smallest, respectively largest, distance spectral radius among the connected graphs, respectively trees with a given number of odd vertices, are determined. Also, the graphs with the largest distance spectral radius among the trees with a given number of vertices of degree 3, respectively given number of vertices of degree at least 3, are determined. Finally, the graphs with the second and third largest distance spectral radius among the trees with all odd vertices are determined. Key words. Distance spectral radius, Distance matrix, Distance Perron vector, Odd vertex, Maximum degree, Graph, Tree. AMS subject classifications. 05C50, 15A Introduction. Throughout this paper, we consider simple graphs. Let G be aconnectedgraphwith vertexsetv(g andedgesete(g. Thedistancebetweenvertices u,v V(G, denoted by d G (u,v, is the length of a shortest path between them. The distance matrix of G, denoted by D(G, is the matrix D(G = (d G (u,v u,v V (G. Since D(G is real and symmetric, its eigenvalues are real. The distance spectral radius of G, denoted by ρ(g, is the largest eigenvalue of D(G. Since D(G is irreducible, we have by the Perron-Frobenius theorem that ρ(g is simple, and there is a unique positive unit eigenvector x(g of D(G corresponding to ρ(g, which is called the distance Perron vector of G. The study of eigenvalues of the distance matrix of a connected graph dates back to the classicalworkofgraham and Pollack[5], Grahamand Lovász[4], and Edelberg et al. []. For more details on spectra of distance matrices and especially on distance spectral radius, one may refer to the recent survey of Aouchiche and Hansen [1]. A vertex is an odd vertex (respectively, even vertex if its degree is odd (respectively, even. It is well known that the number of odd vertices in a graph is always even. A vertex in a tree with degree at least 3 is known as a branch vertex. The Received by the editorson January 19, 015. Accepted forpublication on April7, 016. Handling Editor: Bryan L. Shader. School ofmathematical sciences, South China NormalUniversity, Guangzhou , P.R.China (lhongying0908@16.com, zhoubo@scnu.edu.cn. Supported by the Specialized Research Fund for the Doctoral Program of Higher Education of China (no and the Scientific Research Fund of the Science and Technology Program of Guangzhou, China (no
3 The Distance Spectral Radius of Graphs 87 number of branch vertices may be used to analyze graph structures, see, e.g. [3, 7]. In this paper, we determine the graphs with smallest, respectively largest, distance spectral radius among the connected graphs, respectively trees with a given number of odd vertices. Also, we determine the graphs with the largest distance spectral radius among the trees with a given number of vertices of degree 3, respectively given number of vertices of degree at least 3. Finally, we determine the graphs with the second and third largest distance spectral radius among the trees with all odd vertices.. Preliminaries. Let G be a connected graph with V(G = {v 1,...,v n }. A column vector x = (x v1,...,x vn R n (whether it is the distance Perron vector of G or not can be considered as a function defined on V(G which maps vertex v i to x vi, i.e., x(v i = x vi for i = 1,...,n. Then x D(Gx = {u,v} V (G d G (u,vx u x v, and λ is an eigenvalue of D(G with corresponding eigenvector x if and only if x 0 and for each u V(G, (.1 λx u = v V (G d G (u,vx v. We call (.1 the (λ,x-eigenequation for G at u. For a unit column vector x R n with at least one nonnegative entry, by Rayleigh s principle, we have ρ(g x D(Gx with equality if and only if x is the distance Perron vector of G. For a connected graph G with v V(G, let δ G (v be the degree of v in G, and let N G (v be the set of neighbors of v in G. Let P n, C n, S n and K n be respectively the path, the cycle, the star and the complete graph on n vertices. A caterpillar is a tree such that the deletion of all pendant vertices yields a path. Obviously, S n and P n are caterpillars. Let G be a connected graph. For V 1 V(G, G V 1 denotes the graph obtained from G by deleting all vertices of V 1 (and the incident edges. If V 1 = {u}, then we write G u for G {u}. For E 1 E(G, G E 1 denotes the graph obtained from G by deleting all edges of E 1. If E 1 = {uv}, then we write G uv for G {uv}. If E is a subset of edges of the complement of G, then GE denotes the graph obtained from G by inserting all edges of E. If E = {uv}, then we write Guv for G{uv}.
4 88 H. Lin and B. Zhou For a subgraph H of a connected graph G, let σ G (H be the sum of the entries of the distance Perron vector of G corresponding to the vertices in V(H. Lemma.1. [9] Let G be a connected graph with u,v V(G. If uv E(G, then ρ(g > ρ(guv. Lemma.. [10] Let G be a connected graph on n vertices with u,v V(G, and let u and v be pendant neighbors of u and v, respectively. Let x = x(g. Then x u x v = ρ(g ρ(g (x u x v. Lemma.3. [11, 1] Let G be a connected graph and u a cut vertex of G. Suppose that G u consists of vertex disjoint subgraphs G 1, G and G 3. Let G 3 be the subgraph of G induced by V(G 3 {u}. For v V(G, let G = G { uw : w N G 3 (u } { vw : w N G 3 (u }. If σ G (G 1 σ G (G, then ρ(g > ρ(g. Lemma.4. [10] Let G be a connected graph and uv a non-pendant cut edge of G. Let G be the graph obtained from G by contracting uv to a vertex u and attaching a pendant vertex v to u. Then ρ(g < ρ(g. 3. Distance spectral radius of graphs with given number of odd vertices. For integers n and k with 0 k n, let G(n,k be the set of connected graphs with n vertices and k odd vertices, and let K n (k be the graph obtained from K n by deleting k pairwise disjoint edges. In particular, K n (0 = K n. Theorem 3.1. Let G G(n,k, where n 3 and 0 k n. (i If n is odd, then ρ(g ρ(k n (k with equality if and only if G = K n (k. (ii If n is even, then ρ(g ρ ( K n ( n k with equality if and only if G = K n ( n k. Proof. Let G be the graph in G(n,k with minimum distance spectral radius. If n is odd and k = 0, or n is even and k = n, then by Lemma.1, G = K n (0. If n is even and k = 0, then since G is a spanning subgraph of K n ( n, we have by Lemma.1 that G = K n ( n. Suppose 1 k < n. For z V(G, let N z = V(G\(N G (z {z}. Obviously, N z = n 1 δ G (z. Let V 1 (respectively, V be the set of odd (respectively, even vertices of G. Suppose that there are vertices u V 1 and v V such that uv / E(G. Let G = Guv. Note that δ G (u = δ G (u 1 is even and δ G (v = δ G (v 1 is odd. We have G G(n,k. By Lemma.1, ρ(g < ρ(g, a contradiction. Thus, each
5 vertex of V 1 is adjacent to each vertex of V. Case 1. n is odd. The Distance Spectral Radius of Graphs 89 Supposethat thereis avertexu V with δ G (u < n 1. Then δ G (u n 3. Let t = n 1 δg(u. Then t is a positive integer, and N u = n 1 δ G (u = t. Let N u = {u 1,...,u t }. Suppose that u 1 is not adjacent to u t. Let G = G{uu 1,uu t,u 1 u t }. Obviously, G G(n,k. By Lemma.1, ρ(g < ρ(g, a contradiction. Thus, u 1 u t E(G. Let G = G u 1 u t {uu 1,uu t }. Obviously, G G(n,k. Let H 1 and H be the subgraphs of G induced by V 1 and V \(N u {u}, respectively. Let x = x(g. From (.1 for G at u and u 1, we have Thus, ρ(g x u = σ G (H 1 σ G (H x u 1 x u x u t 1 x u t, ρ(g x u 1 σ G (H 1 σ G (H x u x u t 1 x u t x u. (ρ(g 1 ( x u x u 1 σg (H 1 x u 1 x u x u t 1 x u > 0, which implies that x u x u 1 > 0. Similarly, x u x u t > 0. As we pass from G to G, the distance between u 1 and u t is increased by 1, the distance between u and u 1 is decreased by 1, the distance between u and u t is decreased by 1, and the distance between any other vertex pair remains unchanged. Therefore, 1 (ρ(g ρ(g 1 x (D(G D(G x = x u( x u1 x u t x u1 x u t = 1 (( x u x u t x u1 ( x u x u 1 x ut > 0. This leads to the contradiction that ρ(g > ρ(g. Thus, the degree of each vertex in V is n 1. Suppose that there is a vertex u V 1 with δ G (u < n. Then δ G (u n 4. Let t = n δg(u. Then t is a positive integer, and N u = t 1. Let N u = {u 1,...,u t1 }. Arguing as above we see u 1 u t1 E(G. Let G = G u 1 u t1 {uu 1,uu t1 }. Obviously, G G(n,k. As above, we have ρ(g > ρ(g, a contradiction. Thus, the degree of each vertex in V 1 is n. Since each even degree is n 1 and each odd degree is n, we have G = K n (k.
6 90 H. Lin and B. Zhou Case. n is even. Similarly to the proof in Case 1, we have that each odd degree is n 1 and each even degree is n. Thus, G = K n ( n k. Lemma 3.. Let T be a tree with u V(T, and let N T (u = {u 1,...,u k }, where k 3. Let T i be the component of T u containing u i for 1 i k. Let T = T {uu i : i t}{wu i : i t}, where t k 1 and w V(T k. If σ T (T 1 σ T (T k, then ρ(t > ρ(t. Proof. Let x = x(t. As we pass from T to T, the distance between a vertex of V(T V(T t and a vertex of V(T 1 {u} is increased by d T (u,w, the distance between a vertex of V(T V(T t and a vertex of V(T k is decreased by at most d T (u,w, and the distance between any other vertex pair is increased or remains unchanged. Thus, 1 (ρ(t ρ(t 1 x (D(T D(Tx t d T (u,w σ T (T i (σ T (T 1 σ T (T k x u Therefore, ρ(t > ρ(t. > 0. i= Let G 1 (s,t be the graph shown in Fig. 1, where G 1 is a nontrivial connected graph, and s,t 1. G 1 v v s 1 v s v s1 v s v s3 v st u 1... u u s 1 u s u s1... u s u s3 u st u st1 Fig. 1. Graph G 1 (s,t. Lemma 3.3. Let G 1 be a nontrivial connected graph. For s t, we have ρ(g 1 (s1,t 1 > ρ(g 1 (s,t. Proof. LetG = G 1 (s,t. LetG and G 3 bethe componentsofg u s1 containing u 1 and u st1, respectively. Let G = G {u s v s,u s1 v s1 }{u s v s1,u s1 v s }.
7 Obviously, G 1 (s1,t 1 = G. Let x = x(g. Claim 1. σ G (G 1 x vs > 0. The Distance Spectral Radius of Graphs 91 Choose z V(G 1 such that d G (z,v s1 = max v V (G1d G (v,v s1. Let d = d G (z,v s1. Since V(G 1, d 1, and z v s1. From (.1 for G at v s1, z and v s, we have ρ(gx vs1 = dx z 3x vs d G (v s1,wx w w V(G 1\{z,v s1} w V(G\(V(G 1 {v s} ρ(gx z = dx vs1 (d3x vs w V(G\(V(G 1 {v s} ρ(gx vs = 3x vs1 (d3x z w V(G\(V(G 1 {v s} d G (v s1,wx w, w V(G 1\{z,v s1} d G (z,wx w, w V(G 1\{z,v s1} d G (v s,wx w. d G (z,wx w (d G (v s1,w3x w Note that for w V(G\(V(G 1 {v s }, d G (v s1,wd G (z,w d G (v s,w 0. Thus, ρ(g ( x vs1 x z x vs (d 3xvs1 3x z (d6x vs (d G (z,w 3x w, w V(G 1\{z,v s1} and (ρ(g3 ( ( ( σ G (G 1 x vs ρ(g xvs1 x z x vs 3 σg (G 1 x vs (d 3x vs1 3x z (d6x vs (d G (z,w 3x w w V(G 1\{z,v s1} 3 x vs1 x z x w x vs w V(G 1\{z,v s1} = dx vs1 (d3x vs
8 9 H. Lin and B. Zhou d G (z,wx w w V(G 1\{z,v s1} > 0. Therefore, Claim 1 follows. Claim. σ G (G σ G (G 3. Let y k = x uk x vk for k st, y 1 = x u1, and y st1 = x ust1. Suppose s t (3.1 y i < y s1i. i=1 i=1 From (.1 for G at u k with 1 k st1, we have ρ(g ( s t (3. x us x us = y j j=1 j=1 y s1j and (3.3 ρ(g ( ( x us1i x us1 i ρ(g xusi x us i s t = y s1 j j=i s = y j j=1 j=1 j=i y s1j t i 1 i 1 y s1j y s1 j y s1j j=1 j=1 for i t 1. We now prove that x us1i x us1 i < 0 for 1 i t by induction on i. If i = 1, then from (3.1 and (3., we have x us x us < 0, and by Lemma., y s = x us x vs < x us x vs = y s. Suppose i t 1andx us1j x us1 j < 0 for1 j i 1. Inparticular,x usi x us i < 0. ByLemma., y s1j = x us1j x vs1j < x us1 j x vs1 j = y s1 j. Thus, i 1 j=1 y s1j i 1 j=1 y s1 j < 0. Now from (3.1 and (3.3, we have x us1i x us1 i < x usi x us i < 0 for i t. It follows that x us1 i x us1i > 0 for 1 i t. Thus, s y i i=1 t y s1i i=1 t y i i=1 t y s1i > 0, which leads to the contradiction that s i=1 y i t i=1 y s1i. Hence, s i=1 y i t i=1 y s1i 0, from which Claim follows. i=1 As we pass from G to G, the distance between a vertex of V(G 1 and a vertex of V(G {u s1 } is increased by 1, the distance between a vertex of V(G 1 and a
9 The Distance Spectral Radius of Graphs 93 vertex of V(G 3 \{v s } is decreased by 1, the distance between v s and a vertex of V(G 3 \{v s } is increased by 1, the distance between v s and a vertex of V(G {u s1 } is decreased by 1, and the distance between any other vertex pair remains unchanged. Thus, 1 (ρ(g ρ(g 1 x (D(G D(Gx = σ G (G 1 ( σ G (G x us1 σg (G 1 ( σ G (G 3 x vs x vs ( σg (G 3 x vs xvs ( σg (G x us1 = ( σ G (G σ G (G 3 x vs x us1 ( σg (G 1 x vs, which, together with Claims 1,, implies that ρ(g > ρ(g. For b a 0 with (ab n, let C(n,a,b be the tree obtained from the path P n a b with consecutive vertices u 0,u 1,...,u by attaching a pendant vertex v i to vertex u i for i {1,...,a} {n a b 1,...,n a b }. In particular, C(n,0,0 is just the path P n. Lemma 3.4. [10] Let T be a tree with n 4 vertices. If T = Pn and C(n,0,1, then ρ(t < ρ(c(n,0,1 < ρ(p n. Lemma 3.5. If a 0, b a, and (ab < n, then ρ(c(n,a1,b 1 > ρ(c(n,a,b. Proof. Let T = C(n,a,b, p = n a b, and q = n a b. Let x = x(t. For 0 i, let s i = x ui if u i has no pendant vertex, and s i = x ui x vi otherwise. Claim 1. x ui1 x un a b i > x ui x u i > 0 for 0 i a. First we prove that x up > x uq1. Suppose p s i i=q1 s i. We prove that x up i x uq1i for 0 i p by induction on i. For i = 0, we have ρ(t ( p (3.4 x up x uq1 = (q 1 p s i, i=q1 and thus, x up x uq1. Suppose i 1 and x up j x uq1j for 0 j i 1. If δ T (u p j =, then s p j = x up j x uq1j s q1j. If δ T (u p j = 3, then by Lemma., x vp j x vq1j, and thus, s p j = x up j x vp j x uq1j x vq1j = s q1j. In either case, s p j s q1j. Hence, ρ(t ( x up i x uq1i ρ(t ( xup1 i x uqi s i
10 94 H. Lin and B. Zhou = = 0, j=q1i j=q1 p i s j s j j=0 p j=0 s j s j i 1 (s q1j s p j and thus, x up i x uq1i x up1 i x uqi. It follows that x up i x uq1i for 0 i p, and thus, s p i s q1i for 0 i p. Since b a, there exists an i with 0 i p such that δ T (u p i = and δ T (u q1i = 3, and thus, s p i = x up i x uq1i < s q1i. This leads to the contradiction that p s i < i=q1 s i. Hence, p s i < i=q1 s i, and by (3.4, we have x up > x uq1. Suppose x u0 x u. We prove that x ui x u i for 0 i p by induction on i. Suppose i 1 and x uj x u j for 0 j i 1. As above, we have by Lemma. that s j s j. It follows that ρ(t ( x ui x u i ρ(t ( xui 1 x un a b i i 1 = (s j s j 0. j=0 Hence, x ui x u i x ui 1 x un a b i 0. Thus, x ui x u i for 0 i p. In particular, x up x uq1, which is a contradiction. It follows that x u0 > x u, and as above, we have by induction that x ui1 x un a b i > x ui x u i for 0 i a. Claim. x vn a b 1 < x un a b x vn a b. Let V = V(T\{v n a b 1, u n a b,v n a b }. Since for u V, j=0 d T (u n a b,ud T (v n a b,u d T (v n a b 1,u 0, we have from (.1 for T at u n a b, v n a b and v n a b 1 that ρ(t ( x un a b x vn a b x vn a b 1 = xun a b x vn a b 5x vn a b 1 u V (d T (u n a b,ud T (v n a b,u d T (v n a b 1,ux u x un a b x vn a b 5x vn a b 1.
11 The Distance Spectral Radius of Graphs 95 Thus, (ρ(t ( x un a b x vn a b x vn a b 1 xun a b 3x vn a b 1 > 0, from which Claim follows. Claim 3. x ua1i x un a b 1 i > x uai x un a b i > 0 for 0 i n 1 b a 1. It is sufficient to prove that x ui x un b i > x ui1 x un b 1 i > 0 for a 1 i n 1 b. Let t = n 1 and t 1 = n 1. By the proof of Claim 1, t b j=0 s j < j=q1 s j. Since t b q 1, we have t b s j < j=0 j=q1 s j j=t b s j j=n b t We prove that x ui > x un b i for a1 i t b by induction on i. For i = t b, we have ρ(t ( t b x ut b x un b t = (t1 1 t s j > 0. j=n b t Hence, x ut b > x un b t. Suppose a 1 i t b 1 and x uj > x un b j for i1 j t b. Then ρ(t ( x ui x un b i ρ(t ( xui1 x un b 1 i = = > 0, j=n b i j=n b t s j i j=0 t b s j j=0 s j s j t b j=i1 s j. j=0 s j (s n b j s j and thus, x ui x un b i > x ui1 x un b 1 i > 0. This proves Claim 3. Claim 4. x un a b 1 < x un a b. By Claim 1, x ui > x u i for 0 i a. As above, we have by Lemma. that s i > s i. Thus, a s i > a s i = i=n a b 1 s i. Let m = b a and m 1 = b a. Suppose n a b m s i i=n a b 1 m s i. We prove that x un a b i x un a b 1 i for 1 i m by induction on i. For i = m, we have ρ(t ( x un a b m x un a b 1 m
12 96 H. Lin and B. Zhou = (m 1 1 m 0. ( i=n a b 1 m n a b m s i s i Hence, x un a b m x un a b 1 m. Suppose 1 i m 1 and x un a b j x un a b 1 j for i 1 j m. By Lemma., s n a b j s n a b 1 j for i1 j m. Hence, ρ(t ( ( x un a b i x un a b 1 i ρ(t xun a b 1i x un a b i = n a b i s j = 0, j=n a b 1 i j=n a b 1 m j=0 s j n a b m s j s j j=0 m j=i1 (s n a b 1 j s n a b j and thus, x un a b i x un a b 1 i x un a b 1i x un a b i 0. It follows that for 1 i m, x un a b i x un a b 1 i. As above, s n a b i s n a b 1 i. Thus, m i=1 s n a b i m i=1 s n a b 1 i = n a b i=n a b 1 m s i, and n a b m s i > = a m s i i=1 i=n a b 1 s n a b i s i i=n a b 1 m s i, n a b i=n a b 1 m a contradiction. Thus, n a b m s i > i=n a b 1 m s i. This proves Claim 4. Let T = C(n,a1,b 1. It is easily seen that s i (3.5 1 (ρ(t ρ(t 1 x (D(T D(Tx = x vn a b 1 W, where
13 W = r and r = n a b. The Distance Spectral Radius of Graphs 97 a (s i s i r r 1 b a 1 i=1 s n a b 1i (r i ( x un a b 1 i x ua1i, From Claim 1, s 0 s = x u0 x ( u < x ua1 x un a b. By Lemma. and Claim 1, s i s i 1 ρ(t (xua1 x un a b < ( x ua1 x un a b for 1 i a. Let { 0 if b = a, F = By Claims, 3 and 4, r b a 1 i= s n a b1i if b > a. ρ(t ( x ua1 x un a b 1 = W rxvn a b 1 < W r ( x un a b x vn a b = W r r 1 (r i ( x ua1i x un a b 1 i a (s i s i F < W r 1 (r i ( x ua1 x un a b 1 r(a1 ( x ua1 x un a b Hence, (3.6 < W r 1 (r i(a1r ( x ua1 x un a b 1. r 1 W > ρ(t (r i(a1r ( x ua1 x un a b 1. Claim 5. The minimum rowsum ofd(t is largerthan r 1 (r i(a1r.
14 98 H. Lin and B. Zhou For 0 j a, u V(T d T (u j,u > > n a b i=a1 n a b i=n a b 1 n a b i=1 d T (u a,u i d T (u a,u (d T (u a,u i d T (u a,v i ir n a b i=n a b 1 r If a 1, then for 1 j a, > r 1 (r i(a1r. u V (T d T (v j,u > For a1 j n a b, u V (T d T (u j,u > > = u V(T n a b i=a1 d T (u j,u > r 1 (r i(a1r. d T (u j,u i d T (u j,u 0 a (d T (u j,u i d T (u j,v i d T (u j,u i i=1 d T (u j,v i d T (u j,u n a b i=a1 r 1 For n a b 1 j, u V (T d T (u j,u > d T (u a r1,u i (r i(a1r. n a b i=a1 (a1r d T (u n a b 1,u i d T (u n a b 1,u 0 a (d T (u n a b 1,u i d T (u n a b 1,v i i=1
15 The Distance Spectral Radius of Graphs 99 > > n a b i=1 r 1 For n a b 1 j n a b, u V (T Thus, Claim 5 follows. d T (v j,u > u V(T i(a1r (r i(a1r. d T (u j,u > r 1 (r i(a1r. Since ρ(t is bounded below by the minimum row sum of D(T [6, p. 4], we have by Claim 5 that ρ(t > r 1 (r i(a1r. Now by (3.6 and Claim 3, W > 0, and thus by (3.5, ρ(t ρ(t > 0. Let (G be the maximum degree of a graph G. Lemma 3.6. Let T be a caterpillar with n vertices and k pendant vertices, where k 3. If (T = 3, then ρ(t ρ ( C ( n, k, k with equality if and only if T = C ( n, k, k. Proof. If n is even and k = n 1, then the result is trivial. If k = 3, then the result follows from Lemma 3.4. Suppose 4 k n. Let T be a caterpillar with maximum distance spectral radius satisfying the hypothesis in the lemma. Let U be the set of vertices of degree in T. Then k U 3(n k U = (n 1, and thus, U = n k > 0, i.e., U. Obviously, the diameter of T is n (k 1= n k1. Let u 0 u 1...u n k1 be a diametrical path of T. Assume without loss of generality that δ T (u 1 δ T (u n k. Then δ T (u 1 δ T (u n k 3. Suppose δ T (u n k =. Then δ T (u 1 = and there is u j with j n k 1 such that δ T (u j = 3. Let v j be the pendant neighbor of u j. Let T 1 and T be the nontrivial components of T u j containing u 0 and u n k1, respectively. Assume without loss of generality that σ T (T 1 σ T (T. Let T = T u j v j u n k v j. Obviously, T is a caterpillar with n vertices and k pendant vertices, and (T = 3. By Lemma.3, ρ(t < ρ(t, a contradiction. Thus, δ T (u n k = 3. Suppose δ T (u 1 =. If T U has exactly one nontrivial component, then T = C(n,0,k, and by Lemma 3.5, ρ(t = ρ(c(n,0,k < ρ ( C ( n, k, k, a contradiction. If T U has at least two nontrivial components, then there are vertices
16 300 H. Lin and B. Zhou u i and u j with i < j n k 1 such that δ T (u i = 3 and δ T (u j =. Let v i be the pendant neighbor of u i. Let T 1 and T be the components of T u i containing u 0 and u n k1, respectively. Assume without loss of generality that σ T (T 1 σ T (T. Let T = T u i v i u j v i. Obviously, T is a caterpillar with n vertices and k pendant vertices, and (T = 3. By Lemma.3, ρ(t < ρ(t, a contradiction. Thus, δ T (u 1 = 3, and T U has at least two nontrivial components. Suppose that T U has at least three nontrivial components. There are three vertices u i,u j,u l with i < j < l n k 1 in T such that δ T (u j = 3 and {u i,u l } U. Let T 1 and T be the nontrivial components of T u j containing u i and u l, respectively. Let v j be the pendant neighbor of u j. Assume without loss of generality that σ T (T 1 σ T (T. Let T = T u j v j u l v j. By Lemma.3, ρ(t < ρ(t, a contradiction. Thus, T U contains exactly two nontrivial components, implying that T = C(n,a,b, where a b = k, and a,b 1. By Lemma 3.5, T = C ( n, k, k. For integers n and k with 1 k n, let T(n,k be the set of trees with n vertices and k odd vertices. Theorem 3.7. Let T T(n,k, where 1 k n. Then ( ( k 1 k 1 ρ(t ρ C n,, with equality if and only if T = C ( n, k 1, k 1. Proof. If k = 1,, then the result follows from Lemma 3.4. Suppose k 3. Let T be a tree in T(n,k with maximum distancespectral radius. Suppose that the maximum odd degree is larger than 3. Then δ T (u = t1 for some u V(T and t. Let N T (u = {u 1,...,u t1 }. Let T i be the component of T u containing u i, where 1 i t 1. Assume without loss of generality that σ T (T 1 σ T (T t1. Let w be a pendant vertex of T in V(T t1. Let T = T {uu i : 3 i t}{wu i : 3 i t}. Note that the degrees of u and w remain odd in T. Then T T(n,k. By Lemma 3., ρ(t > ρ(t, a contradiction. Thus, the maximum odd degree is 3. If n is even, and k = n, then by Lemma 3.3, T = C ( n, k 1, k 1. Suppose k < n. Let U be the set of even vertices of T. Then U 1. Suppose that the maximum even degree is larger than. Then δ T (u = t for some u V(T and t. Let N T (u = {u 1,...,u t }. Let T i be the component of T u containing u i, where 1 i t. Assume without loss of generality that σ T (T 1 σ T (T t. Let w be a pendant vertex of T in V(T t. Let T = T uu wu. Note that the degree of u is odd and the degree of w is even in T. Then T T(n,k. By Lemma.3,
17 The Distance Spectral Radius of Graphs 301 ρ(t > ρ(t, a contradiction. Thus, the maximum even degree is, and each vertex in U is of degree in T. Suppose that T is not a caterpillar. Since (T = 3, there is a vertex u of degree 3 in the graph obtained from T by deleting all pendant vertices. Let N T (u = {u 1,u,u 3 }. Obviously, δ T (u i for i = 1,,3. Let T i be the component of T u containing u i, where 1 i 3. Claim. U V(T i for some i with i = 1,,3. Otherwise, there are two vertices of degree in T, one in V(T i and the other in V(T j, where 1 i < j 3. Assume without loss of generality that δ T (v 1 = δ T (v 3 = with v 1 V(T 1 and v 3 V(T 3, and that σ T (T 1 σ T (T 3. Let T = T uu v 3 u. Obviously, δ T (u is even and δ T (v 3 is odd. Thus, T T(n,k. By Lemma.3, ρ(t > ρ(t, a contradiction. This proves the Claim. Since (T = 3, we have by the Claim that T = G 1 (s,t for some s and t with s t. Obviously, G 1 (s1,t 1 T(n,k. By Lemma 3.3, ρ(g 1 (s1,t 1 > ρ(t, a contradiction. Thus, T is a caterpillar with (T = 3. By Lemma 3.6, we have T = C ( n, k 1, k Distance spectral radius of trees with given number of vertices of degree 3 or of degree at least 3. Let T be a tree with n vertices, in which k vertices of degree at least 3. Let r be the number of pendant vertices in T. Then r(n r k3k (n 1, i.e., r k. This implies that k kr n, and thus, k n 1. As an application of Theorem 3.7, we have Theorem 4.1. Let T be a tree on n vertices with k vertices of degree 3, where n, and 0 k n 1. Then ρ(t ρ( C ( n, k, k with equality if and only if T = C ( n, k, k. Proof. If k = 0,1, then the result follows from Lemma 3.4. Suppose k. Let T be a tree with maximum distance spectral radius on n vertices with k vertices of degree 3. Let = (T. Case Let u V(T and N T (u = {u 1,...,u }. Let T i be the componentoft ucontainingu i, where1 i. Assumewithout lossofgenerality that σ T (T 1 σ T (T. Let w be a pendant vertex oft in V(T. Let T = T {uu i : i 1}{wu i : i 1}. Note that the number of vertices of degree 3 in T remains k. By Lemma 3., ρ(t > ρ(t, a contradiction. Case. = 4. Let u V(T and N T (u = {u 1,u,u 3,u 4 }. Let T i be the component of T u containing u i, where 1 i 4. Assume without loss of generality that σ T (T 1 σ T (T 4. Let v be a pendant vertex of T in V(T 4, and T = T uu
18 30 H. Lin and B. Zhou vu. Let T 4 be the component of T u containing u 4. Note that δ T (u = 3 and u is a cut vertex. Assume without loss of generality that σ T (T 1 σ T (T 4. Let w be a pendant vertex of T in V(T 4 and T = T uu 3 wu 3. Note that the number of vertices of degree 3 in T remains k. By Lemma.3, ρ(t > ρ(t > ρ(t, a contradiction. Now we have proven that = 3. Let r be the number of pendant vertices in T. Since r(n k r3k = (n 1, we have r = k, and thus, T T(n,k1. By Theorem 3.7, we have T = C ( n, k, k. Theorem 4.. Let T be a tree with n vertices and k vertices of degree at least 3, where 0 k n 1. Then ρ(t ρ( C ( n, k, k with equality if and only if T = C ( n, k, k. Proof. If k = 0, then the result follows from Lemma 3.4. Suppose k 1. Let T be a tree with maximum distance spectral radius among trees with n vertices and k vertices of degree at least 3. Let = (T. Suppose 4. Let u V(T and N T (u = {u 1,...,u }. Let T i be the componentoft ucontainingu i, where1 i. Assumewithout lossofgenerality that σ T (T 1 σ T (T. Let w be a pendant vertex of T in V(T. Let T = T uu wu. Obviously, T is a tree with n vertices and k vertices of degree at least 3. By Lemma 3., ρ(t > ρ(t, a contradiction. Hence, 3, implying that T is a tree with k vertices of degree 3. By Theorem 4.1, T = C ( n, k, k. 5. Distance spectral radius of trees with all odd vertices. For n, let T(n be the set of all trees with n vertices, which are all odd. Let E n = C(n,0,n 1. Let T be a tree with n vertices. Then ρ(t ρ(s n with equality if and only if T = S n, see [9]. By this result and Theorem 3.7, we have Theorem 5.1. Let T T(n. Then ρ(s n ρ(t ρ(e n with left equality if and only if T = S n and right equality if and only if T = E n. For integers n and a with 1 a n, let D n,a be the double star obtained by adding an edge between the center u of S a1 and the center v of S n a 1. Lemma 5.. [8] For a, ρ(d n,a > ρ(d n,a 1. Theorem 5.3. Let T T(n and T S n, where n 3. Then ρ(t ρ(d n, with equality if and only if T = D n,. Proof. Let T be the tree with minimum distance spectral radius in T(n\{S n }. Let t be the diameter of T. Obviously, t 3. Let u 1...u t1 be a diametrical path of
19 The Distance Spectral Radius of Graphs 303 T. Suppose t 4. Let T = T {vu 4 : v N T (u 4 \{u 3 }}{vu 3 : v N T (u 4 \{u 3 }}. Obviously, T T(n\{S n }. By Lemma.4, ρ(t > ρ(t, a contradiction. Thus, t = 3, i.e., T is a double star. By Lemma 5., T = D n,. For n 3 and i n1, let B(n,i be the caterpillar obtained from the path P n with consecutive vertices u 1,...,u n by attaching a pendant vertex v j to u j for j n 1 with j i and attaching three pendant vertices w 1,w,w 3 to u i. For n 5 and 3 i n1, let F(n,i be the caterpillar obtained from the path P n with consecutive vertices u 1,...,u n by attaching a pendant vertex v j to u j for j n 1 with j i and adding an edge between u i and the center of S 3. Lemma 5.4. For n 5, and i n1, ρ(f(n,i1 > ρ(b(n,i. Proof. Let G = B(n,i and G = B(n,i {u i w,u i w 3 } {v i1 w,v i1 w 3 }. Obviously, G = F(n,i1. Let x = x(g. As we pass from G to G, the distance between a vertex of {w,w 3 } and a vertex of {u 1,...,u i,v,...,v i 1,w 1 } is increased by, the distance between a vertex of {w,w 3 } and v i1 is decreased by, and the distance between any other vertex pair remains unchanged. Hence, 1 (ρ(g ρ(g 1 x (D(G D(Gx From (.1 for G at u i, w 1 and v i1, we have = (x w x w3 ( x ui x w1 x vi1. i 1 ρ(gx ui = x w1 x w x w3 x vi1 d G (u i,u k x uk d G (u i,v k x vk i 1 k= n 1 k=i n k=i1 (d G (u i1,v k 1x vk, k=1 (d G (u i1,u k 1x uk i 1 ρ(gx w1 = x ui x w x w3 3x vi1 (d G (u i,u k 1x uk (d G (u i,v k 1x vk i 1 k= n 1 k=i (d G (u i1,v k x vk, k=1 n (d G (u i1,u k x uk k=i1 i 1 ρ(gx vi1 = x ui 3x w1 3x w 3x w3 (d G (u i,u k x uk k=1
20 304 H. Lin and B. Zhou and thus, (d G (u i,v k x vk i 1 k= n 1 k=i (d G (u i1,v k 1x vk, n (d G (u i1,u k 1x uk k=i1 (ρ(g ( i 1 x ui x w1 x vi1 = xui 3x vi1 (d G (u i,u k 1x uk i 1 > 0, k=1 (d G (u i,v k 1x vk k= n k=i1 n 1 k=i (d G (u i1,u k x uk (d G (u i1,v k x vk implying that x ui x w1 x vi1 > 0. Therefore, ρ(g > ρ(g, i.e., ρ(f(n,i1 > ρ(b(n,i. Theorem 5.5. Let T T(n and T E n, where n 3. (i For n = 3,4, ρ(t ρ(b(n, with equality if and only if T = B(n,; (ii For n 5, ρ(t ρ(f(n,3 with equality if and only if T = F(n,3. Proof. For n = 3,4, we have T(n = {E n,b(n,}, and thus, the result follows from Theorem 5.1. Suppose n 5. Let T be a tree with maximum distance spectral radius in T(n\{E n }. Let = (T. Suppose 7. Let u V(T and N T (u = {u 1,...,u }. Let T i be the componentoft ucontainingu i, where1 i. Assumewithout lossofgenerality that σ T (T 1 σ T (T. Let w be a pendant vertex of T in V(T. Let T = T {uu,uu 3 }{wu,wu 3 }. Then T T(n and T E n. By Lemma 3., ρ(t > ρ(t, a contradiction. Thus, = 3 or 5. Suppose = 5. By similar argument as above, there is exactly one vertex of degree 5. Let u 1 u t1 be a longest path passing the vertex of degree 5, say u i, where i t. Let v 1,v,v 3 be the other three neighbors of u i outside the above path. We claim that v 1,v,v 3 are pendant vertices. Otherwise, suppose that v 1 is not
21 The Distance Spectral Radius of Graphs 305 apendantvertex. LetT 1 andt bethecomponentsoft u i containingu i 1 andu i1, respectively. Assume without loss of generality that σ T (T 1 σ T (T. Let T = T {u i v,u i v 3 }{u t1 v,u t1 v 3 }. Obviously, T T(n and T E n. By Lemma 3., ρ(t > ρ(t, a contradiction. Since each vertex different from u i is of degree 1 or 3 in T, we have by Lemma 3.3 that T = B(n,i with i n1. Suppose 3 i n1. Let T = B(n,i {u i v,u i v 3 }{u v,u v 3 } if σ T (T 1 σ T (T, and T = B(n,i {u i v,u i v 3 }{u n 1 v,u n 1 v 3 } if σ T (T 1 > σ T (T. It is easily seen that T = B(n,. By Lemma 3., ρ(t = ρ(b(n,i < ρ(t = ρ(b(n,, a contradiction. Then i =, and thus, T = B(n,. Suppose = 3. ByLemma3.3, T = F(n,iwith3 i n1. ByLemma3.3, ρ(f(n,3 > ρ(f(n,4 > > ρ ( F ( n, n1. Thus, T = F(n,3. By Lemma 5.4, ρ(b(n, < ρ(f(n,3. Thus, T = F(n,3. Acknowledgment. The authors thank the referee for careful review and helpful comments. REFERENCES [1] M. Aouchiche and P. Hansen. Distance spectra of graphs: A survey. Linear Algebra Appl., 458: , 014. [] M. Edelberg, M.R. Garey, and R.L. Graham. On the distance matrix of a tree. Discrete Math., 14:3 39, [3] L. Gargano, M. Hammar, P. Hell, L. Stacho, and U. Vaccaro. Spanning spiders and light-splitting switches. Discrete Math., 85:83 95, 004. [4] R.L. Graham and L. Lovász. Distance matrix polynomials of trees. Adv. Math., 9:60 88, [5] R.L. Graham and H.O. Pollack. On the addressing problem for loop switching. Bell System Tech. J., 50: , [6] H. Minc. Nonnegative Matrices. John Wiley & Sons, New York, [7] H. Matsuda, K. Ozeki, and T. Yamashita. Spanning trees with a bounded number of branch vertices in a claw-free graph. Graphs Combin., 30:49 437, 014. [8] M. Nath and S. Paul. On the distance spectral radius of trees. Linear Multilinear Algebra, 61: , 013. [9] S.N. Ruzieh and D.L. Powers. The distance spectrum of the path P n and the first distance eigenvector of connected graphs. Linear Multilinear Algebra, 8:75 81, [10] Y. Wang and B. Zhou. On distance spectral radius of graphs. Linear Algebra Appl., 438: , 013. [11] R. Xing, B. Zhou, and F. Dong. The effect of a graft transformation on distance spectral radius. Linear Algebra Appl., 457:61 75, 014. [1] G. Yu, H. Jia, H. Zhang, and J. Shu. Some graft transformations and its applications on the distance spectral radius of a graph. Appl. Math. Lett., 5: , 01.
The least eigenvalue of the signless Laplacian of non-bipartite unicyclic graphs with k pendant vertices
Electronic Journal of Linear Algebra Volume 26 Volume 26 (2013) Article 22 2013 The least eigenvalue of the signless Laplacian of non-bipartite unicyclic graphs with k pendant vertices Ruifang Liu rfliu@zzu.edu.cn
More informationOn the distance spectral radius of unicyclic graphs with perfect matchings
Electronic Journal of Linear Algebra Volume 27 Article 254 2014 On the distance spectral radius of unicyclic graphs with perfect matchings Xiao Ling Zhang zhangxling04@aliyun.com Follow this and additional
More informationOn the distance signless Laplacian spectral radius of graphs and digraphs
Electronic Journal of Linear Algebra Volume 3 Volume 3 (017) Article 3 017 On the distance signless Laplacian spectral radius of graphs and digraphs Dan Li Xinjiang University,Urumqi, ldxjedu@163.com Guoping
More informationOn the spectral radii of quasi-tree graphs and quasiunicyclic graphs with k pendent vertices
Electronic Journal of Linear Algebra Volume 20 Volume 20 (2010) Article 30 2010 On the spectral radii of quasi-tree graphs and quasiunicyclic graphs with k pendent vertices Xianya Geng Shuchao Li lscmath@mail.ccnu.edu.cn
More informationMaxima of the signless Laplacian spectral radius for planar graphs
Electronic Journal of Linear Algebra Volume 0 Volume 0 (2015) Article 51 2015 Maxima of the signless Laplacian spectral radius for planar graphs Guanglong Yu Yancheng Teachers University, yglong01@16.com
More informationExtremal trees with fixed degree sequence for atom-bond connectivity index
Filomat 26:4 2012), 683 688 DOI 10.2298/FIL1204683X Published by Faculty of Sciences and Mathematics, University of Niš, Serbia Available at: http://www.pmf.ni.ac.rs/filomat Extremal trees with fixed degree
More informationLaplacian spectral radius of trees with given maximum degree
Available online at www.sciencedirect.com Linear Algebra and its Applications 429 (2008) 1962 1969 www.elsevier.com/locate/laa Laplacian spectral radius of trees with given maximum degree Aimei Yu a,,1,
More informationOn the spectral radius of graphs with cut edges
Linear Algebra and its Applications 389 (2004) 139 145 www.elsevier.com/locate/laa On the spectral radius of graphs with cut edges Huiqing Liu a,meilu b,, Feng Tian a a Institute of Systems Science, Academy
More informationOn the maximum positive semi-definite nullity and the cycle matroid of graphs
Electronic Journal of Linear Algebra Volume 18 Volume 18 (2009) Article 16 2009 On the maximum positive semi-definite nullity and the cycle matroid of graphs Hein van der Holst h.v.d.holst@tue.nl Follow
More informationBicyclic digraphs with extremal skew energy
Electronic Journal of Linear Algebra Volume 3 Volume 3 (01) Article 01 Bicyclic digraphs with extremal skew energy Xiaoling Shen Yoaping Hou yphou@hunnu.edu.cn Chongyan Zhang Follow this and additional
More informationOn the Least Eigenvalue of Graphs with Cut Vertices
Journal of Mathematical Research & Exposition Nov., 010, Vol. 30, No. 6, pp. 951 956 DOI:10.3770/j.issn:1000-341X.010.06.001 Http://jmre.dlut.edu.cn On the Least Eigenvalue of Graphs with Cut Vertices
More informationELA
THE DISTANCE MATRIX OF A BIDIRECTED TREE R. B. BAPAT, A. K. LAL, AND SUKANTA PATI Abstract. A bidirected tree is a tree in which each edge is replaced by two arcs in either direction. Formulas are obtained
More informationThe spectrum of the edge corona of two graphs
Electronic Journal of Linear Algebra Volume Volume (1) Article 4 1 The spectrum of the edge corona of two graphs Yaoping Hou yphou@hunnu.edu.cn Wai-Chee Shiu Follow this and additional works at: http://repository.uwyo.edu/ela
More informationOn the distance and distance signless Laplacian eigenvalues of graphs and the smallest Gersgorin disc
Electronic Journal of Linear Algebra Volume 34 Volume 34 (018) Article 14 018 On the distance and distance signless Laplacian eigenvalues of graphs and the smallest Gersgorin disc Fouzul Atik Indian Institute
More informationOn the second Laplacian eigenvalues of trees of odd order
Linear Algebra and its Applications 419 2006) 475 485 www.elsevier.com/locate/laa On the second Laplacian eigenvalues of trees of odd order Jia-yu Shao, Li Zhang, Xi-ying Yuan Department of Applied Mathematics,
More informationExtremal graph on normalized Laplacian spectral radius and energy
Electronic Journal of Linear Algebra Volume 9 Special volume for Proceedings of the International Conference on Linear Algebra and its Applications dedicated to Professor Ravindra B. Bapat Article 16 015
More informationv iv j E(G) x u, for each v V(G).
Volume 3, pp. 514-5, May 01 A NOTE ON THE LEAST EIGENVALUE OF A GRAPH WITH GIVEN MAXIMUM DEGREE BAO-XUAN ZHU Abstract. This note investigates the least eigenvalues of connected graphs with n vertices and
More informationRefined Inertia of Matrix Patterns
Electronic Journal of Linear Algebra Volume 32 Volume 32 (2017) Article 24 2017 Refined Inertia of Matrix Patterns Kevin N. Vander Meulen Redeemer University College, kvanderm@redeemer.ca Jonathan Earl
More informationOn the spectral radius of bicyclic graphs with n vertices and diameter d
Linear Algebra and its Applications 4 (007) 9 3 www.elsevier.com/locate/laa On the spectral radius of bicyclic graphs with n vertices and diameter d Shu-Guang Guo Department of Mathematics, Yancheng Teachers
More informationMinimizing the Laplacian eigenvalues for trees with given domination number
Linear Algebra and its Applications 419 2006) 648 655 www.elsevier.com/locate/laa Minimizing the Laplacian eigenvalues for trees with given domination number Lihua Feng a,b,, Guihai Yu a, Qiao Li b a School
More informationA note on estimates for the spectral radius of a nonnegative matrix
Electronic Journal of Linear Algebra Volume 13 Volume 13 (2005) Article 22 2005 A note on estimates for the spectral radius of a nonnegative matrix Shi-Ming Yang Ting-Zhu Huang tingzhuhuang@126com Follow
More informationA note on a conjecture for the distance Laplacian matrix
Electronic Journal of Linear Algebra Volume 31 Volume 31: (2016) Article 5 2016 A note on a conjecture for the distance Laplacian matrix Celso Marques da Silva Junior Centro Federal de Educação Tecnológica
More informationThe effect on the algebraic connectivity of a tree by grafting or collapsing of edges
Available online at www.sciencedirect.com Linear Algebra and its Applications 428 (2008) 855 864 www.elsevier.com/locate/laa The effect on the algebraic connectivity of a tree by grafting or collapsing
More informationELA
A NOTE ON THE LARGEST EIGENVALUE OF NON-REGULAR GRAPHS BOLIAN LIU AND GANG LI Abstract. The spectral radius of connected non-regular graphs is considered. Let λ 1 be the largest eigenvalue of the adjacency
More informationELA QUADRATIC FORMS ON GRAPHS WITH APPLICATION TO MINIMIZING THE LEAST EIGENVALUE OF SIGNLESS LAPLACIAN OVER BICYCLIC GRAPHS
QUADRATIC FORMS ON GRAPHS WITH APPLICATION TO MINIMIZING THE LEAST EIGENVALUE OF SIGNLESS LAPLACIAN OVER BICYCLIC GRAPHS GUI-DONG YU, YI-ZHENG FAN, AND YI WANG Abstract. Given a graph and a vector defined
More informationThe Singular Acyclic Matrices of Even Order with a P-Set of Maximum Size
Filomat 30:13 (016), 3403 3409 DOI 1098/FIL1613403D Published by Faculty of Sciences and Mathematics, University of Niš, Serbia Available at: http://wwwpmfniacrs/filomat The Singular Acyclic Matrices of
More informationTHE HARMONIC INDEX OF UNICYCLIC GRAPHS WITH GIVEN MATCHING NUMBER
Kragujevac Journal of Mathematics Volume 38(1 (2014, Pages 173 183. THE HARMONIC INDEX OF UNICYCLIC GRAPHS WITH GIVEN MATCHING NUMBER JIAN-BO LV 1, JIANXI LI 1, AND WAI CHEE SHIU 2 Abstract. The harmonic
More informationELA
UNICYCLIC GRAPHS WITH THE STRONG RECIPROCAL EIGENVALUE PROPERTY S. BARIK, M. NATH, S. PATI, AND B. K. SARMA Abstract. AgraphG is bipartite if and only if the negative of each eigenvalue of G is also an
More informationLower bounds for the Estrada index
Electronic Journal of Linear Algebra Volume 23 Volume 23 (2012) Article 48 2012 Lower bounds for the Estrada index Yilun Shang shylmath@hotmail.com Follow this and additional works at: http://repository.uwyo.edu/ela
More informationSpectral radius of bipartite graphs
Linear Algebra and its Applications 474 2015 30 43 Contents lists available at ScienceDirect Linear Algebra and its Applications www.elsevier.com/locate/laa Spectral radius of bipartite graphs Chia-an
More informationAverage Mixing Matrix of Trees
Electronic Journal of Linear Algebra Volume 34 Volume 34 08 Article 9 08 Average Mixing Matrix of Trees Chris Godsil University of Waterloo, cgodsil@uwaterloo.ca Krystal Guo Université libre de Bruxelles,
More informationSpectral radii of graphs with given chromatic number
Applied Mathematics Letters 0 (007 158 16 wwwelseviercom/locate/aml Spectral radii of graphs with given chromatic number Lihua Feng, Qiao Li, Xiao-Dong Zhang Department of Mathematics, Shanghai Jiao Tong
More informationThe chromatic number and the least eigenvalue of a graph
The chromatic number and the least eigenvalue of a graph Yi-Zheng Fan 1,, Gui-Dong Yu 1,, Yi Wang 1 1 School of Mathematical Sciences Anhui University, Hefei 30039, P. R. China fanyz@ahu.edu.cn (Y.-Z.
More informationDiscrete Mathematics
Discrete Mathematics 3 (0) 333 343 Contents lists available at ScienceDirect Discrete Mathematics journal homepage: wwwelseviercom/locate/disc The Randić index and the diameter of graphs Yiting Yang a,
More informationPotentially nilpotent tridiagonal sign patterns of order 4
Electronic Journal of Linear Algebra Volume 31 Volume 31: (2016) Article 50 2016 Potentially nilpotent tridiagonal sign patterns of order 4 Yubin Gao North University of China, ybgao@nuc.edu.cn Yanling
More informationApplied Mathematics Letters
Applied Mathematics Letters (009) 15 130 Contents lists available at ScienceDirect Applied Mathematics Letters journal homepage: www.elsevier.com/locate/aml Spectral characterizations of sandglass graphs
More informationPRODUCT DISTANCE MATRIX OF A GRAPH AND SQUARED DISTANCE MATRIX OF A TREE. R. B. Bapat and S. Sivasubramanian
PRODUCT DISTANCE MATRIX OF A GRAPH AND SQUARED DISTANCE MATRIX OF A TREE R B Bapat and S Sivasubramanian Let G be a strongly connected, weighted directed graph We define a product distance η(i, j) for
More informationON THE NUMBERS OF CUT-VERTICES AND END-BLOCKS IN 4-REGULAR GRAPHS
Discussiones Mathematicae Graph Theory 34 (2014) 127 136 doi:10.7151/dmgt.1724 ON THE NUMBERS OF CUT-VERTICES AND END-BLOCKS IN 4-REGULAR GRAPHS Dingguo Wang 2,3 and Erfang Shan 1,2 1 School of Management,
More informationThe third smallest eigenvalue of the Laplacian matrix
Electronic Journal of Linear Algebra Volume 8 ELA Volume 8 (001) Article 11 001 The third smallest eigenvalue of the Laplacian matrix Sukanta Pati pati@iitg.ernet.in Follow this and additional works at:
More informationNote on deleting a vertex and weak interlacing of the Laplacian spectrum
Electronic Journal of Linear Algebra Volume 16 Article 6 2007 Note on deleting a vertex and weak interlacing of the Laplacian spectrum Zvi Lotker zvilo@cse.bgu.ac.il Follow this and additional works at:
More informationGraphs determined by their (signless) Laplacian spectra
Electronic Journal of Linear Algebra Volume Volume (011) Article 6 011 Graphs determined by their (signless) Laplacian spectra Muhuo Liu liumuhuo@scau.edu.cn Bolian Liu Fuyi Wei Follow this and additional
More informationAverage distance, radius and remoteness of a graph
Also available at http://amc-journal.eu ISSN 855-3966 (printed edn.), ISSN 855-397 (electronic edn.) ARS MATHEMATICA CONTEMPORANEA 7 (0) 5 Average distance, radius and remoteness of a graph Baoyindureng
More informationExtremal graphs for the sum of the two largest signless Laplacian eigenvalues
Electronic Journal of Linear Algebra Volume 30 Volume 30 (2015) Article 41 2015 Extremal graphs for the sum of the two largest signless Laplacian eigenvalues Carla Silva Oliveira Escola Nacional de Ciencias
More informationSparse spectrally arbitrary patterns
Electronic Journal of Linear Algebra Volume 28 Volume 28: Special volume for Proceedings of Graph Theory, Matrix Theory and Interactions Conference Article 8 2015 Sparse spectrally arbitrary patterns Brydon
More informationOn the adjacency matrix of a block graph
On the adjacency matrix of a block graph R. B. Bapat Stat-Math Unit Indian Statistical Institute, Delhi 7-SJSS Marg, New Delhi 110 016, India. email: rbb@isid.ac.in Souvik Roy Economics and Planning Unit
More informationMa/CS 6b Class 23: Eigenvalues in Regular Graphs
Ma/CS 6b Class 3: Eigenvalues in Regular Graphs By Adam Sheffer Recall: The Spectrum of a Graph Consider a graph G = V, E and let A be the adjacency matrix of G. The eigenvalues of G are the eigenvalues
More informationDeterminant of the distance matrix of a tree with matrix weights
Determinant of the distance matrix of a tree with matrix weights R. B. Bapat Indian Statistical Institute New Delhi, 110016, India fax: 91-11-26856779, e-mail: rbb@isid.ac.in Abstract Let T be a tree with
More informationImproved Upper Bounds for the Laplacian Spectral Radius of a Graph
Improved Upper Bounds for the Laplacian Spectral Radius of a Graph Tianfei Wang 1 1 School of Mathematics and Information Science Leshan Normal University, Leshan 614004, P.R. China 1 wangtf818@sina.com
More informationThe Signless Laplacian Spectral Radius of Graphs with Given Degree Sequences. Dedicated to professor Tian Feng on the occasion of his 70 birthday
The Signless Laplacian Spectral Radius of Graphs with Given Degree Sequences Xiao-Dong ZHANG Ü À Shanghai Jiao Tong University xiaodong@sjtu.edu.cn Dedicated to professor Tian Feng on the occasion of his
More informationOn Euclidean distance matrices
On Euclidean distance matrices R. Balaji and R. B. Bapat Indian Statistical Institute, New Delhi, 110016 November 19, 2006 Abstract If A is a real symmetric matrix and P is an orthogonal projection onto
More informationThe spectral radius of graphs on surfaces
The spectral radius of graphs on surfaces M. N. Ellingham* Department of Mathematics, 1326 Stevenson Center Vanderbilt University, Nashville, TN 37240, U.S.A. mne@math.vanderbilt.edu Xiaoya Zha* Department
More informationA Simple Proof of Fiedler's Conjecture Concerning Orthogonal Matrices
University of Wyoming Wyoming Scholars Repository Mathematics Faculty Publications Mathematics 9-1-1997 A Simple Proof of Fiedler's Conjecture Concerning Orthogonal Matrices Bryan L. Shader University
More informationIn this paper, we will investigate oriented bicyclic graphs whose skew-spectral radius does not exceed 2.
3rd International Conference on Multimedia Technology ICMT 2013) Oriented bicyclic graphs whose skew spectral radius does not exceed 2 Jia-Hui Ji Guang-Hui Xu Abstract Let S(Gσ ) be the skew-adjacency
More informationDiscrete Mathematics. The edge spectrum of the saturation number for small paths
Discrete Mathematics 31 (01) 68 689 Contents lists available at SciVerse ScienceDirect Discrete Mathematics journal homepage: www.elsevier.com/locate/disc The edge spectrum of the saturation number for
More informationON THE WIENER INDEX AND LAPLACIAN COEFFICIENTS OF GRAPHS WITH GIVEN DIAMETER OR RADIUS
MATCH Communications in Mathematical and in Computer Chemistry MATCH Commun. Math. Comput. Chem. 63 (2010) 91-100 ISSN 0340-6253 ON THE WIENER INDEX AND LAPLACIAN COEFFICIENTS OF GRAPHS WITH GIVEN DIAMETER
More informationarxiv: v1 [math.co] 17 Apr 2018
On extremal cacti with respect to the edge revised Szeged index arxiv:180.06009v1 [math.co] 17 Apr 2018 Shengjie He a, Rong-Xia Hao a, Deming Li b a Department of Mathematics, Beijing Jiaotong University,
More informationInverse Perron values and connectivity of a uniform hypergraph
Inverse Perron values and connectivity of a uniform hypergraph Changjiang Bu College of Automation College of Science Harbin Engineering University Harbin, PR China buchangjiang@hrbeu.edu.cn Jiang Zhou
More informationEvery 3-connected, essentially 11-connected line graph is hamiltonian
Every 3-connected, essentially 11-connected line graph is hamiltonian Hong-Jian Lai, Yehong Shao, Hehui Wu, Ju Zhou October 2, 25 Abstract Thomassen conjectured that every 4-connected line graph is hamiltonian.
More informationarxiv: v1 [math.co] 5 Sep 2016
Ordering Unicyclic Graphs with Respect to F-index Ruhul Amin a, Sk. Md. Abu Nayeem a, a Department of Mathematics, Aliah University, New Town, Kolkata 700 156, India. arxiv:1609.01128v1 [math.co] 5 Sep
More informationLinear Algebra and its Applications
Linear Algebra and its Applications xxx (2008) xxx xxx Contents lists available at ScienceDirect Linear Algebra and its Applications journal homepage: wwwelseviercom/locate/laa Graphs with three distinct
More informationMatrix functions that preserve the strong Perron- Frobenius property
Electronic Journal of Linear Algebra Volume 30 Volume 30 (2015) Article 18 2015 Matrix functions that preserve the strong Perron- Frobenius property Pietro Paparella University of Washington, pietrop@uw.edu
More informationDegree Sequence and Supereulerian Graphs
Degree Sequence and Supereulerian Graphs Suohai Fan, Hong-Jian Lai, Yehong Shao, Taoye Zhang and Ju Zhou January 29, 2007 Abstract A sequence d = (d 1, d 2,, d n ) is graphic if there is a simple graph
More informationOn oriented graphs with minimal skew energy
Electronic Journal of Linear Algebra Volume 7 Article 61 014 On oriented graphs with minimal skew energy Shi-Cai Gong Zhejiang A & F University, scgong@zafueducn Xueliang Li Nankai University, lxl@nankaieducn
More informationarxiv: v1 [cs.ds] 2 Oct 2018
Contracting to a Longest Path in H-Free Graphs Walter Kern 1 and Daniël Paulusma 2 1 Department of Applied Mathematics, University of Twente, The Netherlands w.kern@twente.nl 2 Department of Computer Science,
More informationThis article appeared in a journal published by Elsevier. The attached copy is furnished to the author for internal non-commercial research and
This article appeared in a journal published by Elsevier. The attached copy is furnished to the author for internal non-commercial research and education use, including for instruction at the authors institution
More informationThe symmetric minimal rank solution of the matrix equation AX=B and the optimal approximation
Electronic Journal of Linear Algebra Volume 18 Volume 18 (2009 Article 23 2009 The symmetric minimal rank solution of the matrix equation AX=B and the optimal approximation Qing-feng Xiao qfxiao@hnu.cn
More informationSaturation numbers for Ramsey-minimal graphs
Saturation numbers for Ramsey-minimal graphs Martin Rolek and Zi-Xia Song Department of Mathematics University of Central Florida Orlando, FL 3816 August 17, 017 Abstract Given graphs H 1,..., H t, a graph
More informationEvery line graph of a 4-edge-connected graph is Z 3 -connected
European Journal of Combinatorics 0 (2009) 595 601 Contents lists available at ScienceDirect European Journal of Combinatorics journal homepage: www.elsevier.com/locate/ejc Every line graph of a 4-edge-connected
More informationExtremal Kirchhoff index of a class of unicyclic graph
South Asian Journal of Mathematics 01, Vol ( 5): 07 1 wwwsajm-onlinecom ISSN 51-15 RESEARCH ARTICLE Extremal Kirchhoff index of a class of unicyclic graph Shubo Chen 1, Fangli Xia 1, Xia Cai, Jianguang
More informationDegree Conditions for Spanning Brooms
Degree Conditions for Spanning Brooms Guantao Chen, Michael Ferrara, Zhiquan Hu, Michael Jacobson, and Huiqing Liu December 4, 01 Abstract A broom is a tree obtained by subdividing one edge of the star
More informationBipartite graphs with at most six non-zero eigenvalues
Also available at http://amc-journal.eu ISSN 1855-3966 (printed edn.), ISSN 1855-3974 (electronic edn.) ARS MATHEMATICA CONTEMPORANEA 11 (016) 315 35 Bipartite graphs with at most six non-zero eigenvalues
More informationThis article appeared in a journal published by Elsevier. The attached copy is furnished to the author for internal non-commercial research and
This article appeared in a journal published by Elsevier. The attached copy is furnished to the author for internal non-commercial research and education use, including for instruction at the authors institution
More informationKernels of Directed Graph Laplacians. J. S. Caughman and J.J.P. Veerman
Kernels of Directed Graph Laplacians J. S. Caughman and J.J.P. Veerman Department of Mathematics and Statistics Portland State University PO Box 751, Portland, OR 97207. caughman@pdx.edu, veerman@pdx.edu
More informationDownloaded 03/01/17 to Redistribution subject to SIAM license or copyright; see
SIAM J. DISCRETE MATH. Vol. 31, No. 1, pp. 335 382 c 2017 Society for Industrial and Applied Mathematics PARTITION CONSTRAINED COVERING OF A SYMMETRIC CROSSING SUPERMODULAR FUNCTION BY A GRAPH ATTILA BERNÁTH,
More informationarxiv: v1 [math.co] 20 Sep 2012
arxiv:1209.4628v1 [math.co] 20 Sep 2012 A graph minors characterization of signed graphs whose signed Colin de Verdière parameter ν is two Marina Arav, Frank J. Hall, Zhongshan Li, Hein van der Holst Department
More information(This is a sample cover image for this issue. The actual cover is not yet available at this time.)
(This is a sample cover image for this issue. The actual cover is not yet available at this time.) This article appeared in a journal published by Elsevier. The attached copy is furnished to the author
More informationDiscrete Applied Mathematics
iscrete Applied Mathematics 57 009 68 633 Contents lists available at Scienceirect iscrete Applied Mathematics journal homepage: www.elsevier.com/locate/dam On reciprocal complementary Wiener number Bo
More informationEvery 3-connected, essentially 11-connected line graph is Hamiltonian
Journal of Combinatorial Theory, Series B 96 (26) 571 576 www.elsevier.com/locate/jctb Every 3-connected, essentially 11-connected line graph is Hamiltonian Hong-Jian Lai a, Yehong Shao b, Hehui Wu a,
More informationLaplacian Integral Graphs with Maximum Degree 3
Laplacian Integral Graphs with Maximum Degree Steve Kirkland Department of Mathematics and Statistics University of Regina Regina, Saskatchewan, Canada S4S 0A kirkland@math.uregina.ca Submitted: Nov 5,
More informationarxiv: v1 [math.co] 6 Feb 2011
arxiv:1102.1144v1 [math.co] 6 Feb 2011 ON SUM OF POWERS OF LAPLACIAN EIGENVALUES AND LAPLACIAN ESTRADA INDEX OF GRAPHS Abstract Bo Zhou Department of Mathematics, South China Normal University, Guangzhou
More informationThe Laplacian spectrum of a mixed graph
Linear Algebra and its Applications 353 (2002) 11 20 www.elsevier.com/locate/laa The Laplacian spectrum of a mixed graph Xiao-Dong Zhang a,, Jiong-Sheng Li b a Department of Mathematics, Shanghai Jiao
More informationA factorization of the inverse of the shifted companion matrix
Electronic Journal of Linear Algebra Volume 26 Volume 26 (203) Article 8 203 A factorization of the inverse of the shifted companion matrix Jared L Aurentz jaurentz@mathwsuedu Follow this and additional
More informationSupereulerian planar graphs
Supereulerian planar graphs Hong-Jian Lai and Mingquan Zhan Department of Mathematics West Virginia University, Morgantown, WV 26506, USA Deying Li and Jingzhong Mao Department of Mathematics Central China
More informationConditional colorings of graphs
Discrete Mathematics 306 (2006) 1997 2004 Note Conditional colorings of graphs www.elsevier.com/locate/disc Hong-Jian Lai a,d, Jianliang Lin b, Bruce Montgomery a, Taozhi Shui b, Suohai Fan c a Department
More informationEvery 4-connected line graph of a quasi claw-free graph is hamiltonian connected
Discrete Mathematics 308 (2008) 532 536 www.elsevier.com/locate/disc Note Every 4-connected line graph of a quasi claw-free graph is hamiltonian connected Hong-Jian Lai a, Yehong Shao b, Mingquan Zhan
More informationarxiv: v2 [math.co] 6 Sep 2016
Acyclic chromatic index of triangle-free -planar graphs Jijuan Chen Tao Wang Huiqin Zhang Institute of Applied Mathematics Henan University, Kaifeng, 475004, P. R. China arxiv:504.06234v2 [math.co] 6 Sep
More informationErdős-Gallai-type results for the rainbow disconnection number of graphs
Erdős-Gallai-type results for the rainbow disconnection number of graphs Xuqing Bai 1, Xueliang Li 1, 1 Center for Combinatorics and LPMC arxiv:1901.0740v1 [math.co] 8 Jan 019 Nankai University, Tianjin
More informationLinear Algebra and its Applications
Linear Algebra and its Applications 436 (2012) 99 111 Contents lists available at SciVerse ScienceDirect Linear Algebra and its Applications journal homepage: www.elsevier.com/locate/laa On weighted directed
More informationEdge Fixed Steiner Number of a Graph
International Journal of Mathematical Analysis Vol. 11, 2017, no. 16, 771-785 HIKARI Ltd, www.m-hikari.com https://doi.org/10.12988/ijma.2017.7694 Edge Fixed Steiner Number of a Graph M. Perumalsamy 1,
More informationLAPLACIAN ESTRADA INDEX OF TREES
MATCH Communications in Mathematical and in Computer Chemistry MATCH Commun. Math. Comput. Chem. 63 (009) 769-776 ISSN 0340-653 LAPLACIAN ESTRADA INDEX OF TREES Aleksandar Ilić a and Bo Zhou b a Faculty
More informationCLASSIFICATION OF TREES EACH OF WHOSE ASSOCIATED ACYCLIC MATRICES WITH DISTINCT DIAGONAL ENTRIES HAS DISTINCT EIGENVALUES
Bull Korean Math Soc 45 (2008), No 1, pp 95 99 CLASSIFICATION OF TREES EACH OF WHOSE ASSOCIATED ACYCLIC MATRICES WITH DISTINCT DIAGONAL ENTRIES HAS DISTINCT EIGENVALUES In-Jae Kim and Bryan L Shader Reprinted
More informationThe Distance Spectrum
The Distance Spectrum of a Tree Russell Merris DEPARTMENT OF MATHEMATICS AND COMPUTER SClENCE CALlFORNlA STATE UNlVERSlN HAYWARD, CAL lfornla ABSTRACT Let T be a tree with line graph T*. Define K = 21
More informationCCO Commun. Comb. Optim.
Communications in Combinatorics and Optimization Vol. 3 No., 018 pp.179-194 DOI: 10.049/CCO.018.685.109 CCO Commun. Comb. Optim. Leap Zagreb Indices of Trees and Unicyclic Graphs Zehui Shao 1, Ivan Gutman,
More informationarxiv: v3 [math.co] 19 Sep 2018
Decycling Number of Linear Graphs of Trees arxiv:170101953v3 [mathco] 19 Sep 2018 Jian Wang a, Xirong Xu b, a Department of Mathematics Taiyuan University of Technology, Taiyuan, 030024, PRChina b School
More informationEven Cycles in Hypergraphs.
Even Cycles in Hypergraphs. Alexandr Kostochka Jacques Verstraëte Abstract A cycle in a hypergraph A is an alternating cyclic sequence A 0, v 0, A 1, v 1,..., A k 1, v k 1, A 0 of distinct edges A i and
More informationOn cardinality of Pareto spectra
Electronic Journal of Linear Algebra Volume 22 Volume 22 (2011) Article 50 2011 On cardinality of Pareto spectra Alberto Seeger Jose Vicente-Perez Follow this and additional works at: http://repository.uwyo.edu/ela
More informationGraph fundamentals. Matrices associated with a graph
Graph fundamentals Matrices associated with a graph Drawing a picture of a graph is one way to represent it. Another type of representation is via a matrix. Let G be a graph with V (G) ={v 1,v,...,v n
More informationThe (signless) Laplacian spectral radii of c-cyclic graphs with n vertices, girth g and k pendant vertices
Linear and Multilinear Algebra ISSN: 0308-1087 Print 1563-5139 Online Journal homepage: http://www.tandfonline.com/loi/glma0 The signless Laplacian spectral radii of c-cyclic graphs with n vertices, girth
More informationOn the Average of the Eccentricities of a Graph
Filomat 32:4 (2018), 1395 1401 https://doi.org/10.2298/fil1804395d Published by Faculty of Sciences and Mathematics, University of Niš, Serbia Available at: http://www.pmf.ni.ac.rs/filomat On the Average
More informationarxiv: v1 [math.co] 27 Nov 2014
Extremal matching energy of complements of trees Tingzeng Wu a,,1, Weigen Yan b,2, Heping Zhang c,1 a School of Mathematics and Statistics, Qinghai Nationalities University, Xining, Qinghai 810007, P.
More information