6
Linear Algebra and its Applications 436 (2012) 2474–2479 Contents lists available at SciVerse ScienceDirect Linear Algebra and its Applications journal homepage: www.elsevier.com/locate/laa The coefficients of Laplacian characteristic polynomials of graphs < Wei Qiu, Weigen Yan School of Sciences, Jimei University, Xiamen 361021, China ARTICLE INFO ABSTRACT Article history: Received 18 May 2011 Accepted 14 December 2011 Available online 10 January 2012 Submitted by R.A. Brualdi AMS classification: Primary 05C15 05C16 Keywords: Laplacian coefficient Connectivity Edge-connectivity Chromatic number Li et al. [J.X. Li, W.C. Shiu, A. Chang, The number of spanning trees of a graph, Appl. Math. Lett. 23 (2010) 286–290] obtained some upper bounds for the number of spanning trees of graphs. In this paper, we characterize the connected graph G with the connectivity κ (resp. edge-connectivity κ and chromatic number χ ) which has the max- imal coefficients of the Laplacian characteristic polynomial. Since the number of spanning trees of a graph G is determined by one of the coefficients of the Laplacian characteristic polynomial of G, we generalize the results by Li et al. © 2011 Published by Elsevier Inc. 1. Introduction Let G be a simple graph with vertex set V (G) ={v 1 , v 2 ,..., v n } and edge set E(G) ={e 1 , e 2 , ..., e m }. The adjacency matrix of graph G is an n × n (0, 1)-matrix A(G) = (a ij ), where a ij = 1 if and only if (v i , v j ) is an edge of G and a ij = 0 otherwise. For v V (G), let N G (v) (or N(v) for short) be the set of vertices which are adjacent to v in G and let d(v) =|N(v)| be the degree of v. Let D(G) be the diagonal matrix whose ith diagonal entry is the degree of the vertex v i (1 i n). L(G) = D(G) A(G) is the Laplacian matrix of G. It is easy to see that L(G) is a symmetric positive semi-definite matrix having zero as an eigenvalue. The Laplacian spectrum of G is S(G) ={μ 1 (G), μ 2 (G),...,μ n (G)}, < The second author was supported in part by NSFC Grant (11171134) and by Program for New Century Excellent Talents in Fujian Province University. Corresponding author. E-mail addresses: [email protected] (W. Qiu), [email protected] (W. Yan). 0024-3795/$ - see front matter © 2011 Published by Elsevier Inc. doi:10.1016/j.laa.2011.12.020

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Page 1: The coefficients of Laplacian characteristic polynomials of graphs

Linear Algebra and its Applications 436 (2012) 2474–2479

Contents lists available at SciVerse ScienceDirect

Linear Algebra and its Applications

journal homepage: www.elsevier .com/locate/ laa

The coefficients of Laplacian characteristic polynomials

of graphs<

Wei Qiu, Weigen Yan∗School of Sciences, Jimei University, Xiamen 361021, China

A R T I C L E I N F O A B S T R A C T

Article history:

Received 18 May 2011

Accepted 14 December 2011

Available online 10 January 2012

Submitted by R.A. Brualdi

AMS classification:

Primary 05C15

05C16

Keywords:

Laplacian coefficient

Connectivity

Edge-connectivity

Chromatic number

Li et al. [J.X. Li,W.C. Shiu, A. Chang, The number of spanning trees of

a graph, Appl. Math. Lett. 23 (2010) 286–290] obtained some upper

bounds for the number of spanning trees of graphs. In this paper, we

characterize the connected graph G with the connectivity κ (resp.

edge-connectivity κ ′ and chromatic number χ ) which has themax-

imal coefficients of the Laplacian characteristic polynomial. Since

the number of spanning trees of a graph G is determined by one of

the coefficients of the Laplacian characteristic polynomial of G, we

generalize the results by Li et al.

© 2011 Published by Elsevier Inc.

1. Introduction

Let G be a simple graph with vertex set V(G) = {v1, v2, . . . , vn} and edge set E(G) = {e1, e2,. . . , em}. The adjacency matrix of graph G is an n × n (0, 1)-matrix A(G) = (aij), where aij = 1 if and

only if (vi, vj) is an edge of G and aij = 0 otherwise. For v ∈ V(G), let NG(v) (or N(v) for short) be the

set of vertices which are adjacent to v in G and let d(v) = |N(v)| be the degree of v. Let D(G) be the

diagonalmatrixwhose ithdiagonal entry is thedegreeof the vertex vi (1 � i � n). L(G) = D(G)−A(G)is the Laplacian matrix of G. It is easy to see that L(G) is a symmetric positive semi-definite matrix

having zero as an eigenvalue. The Laplacian spectrum of G is

S(G) = {μ1(G), μ2(G), . . . , μn(G)},< The second author was supported in part by NSFC Grant (11171134) and by Program for New Century Excellent Talents in Fujian

Province University.∗ Corresponding author.

E-mail addresses: [email protected] (W. Qiu), [email protected] (W. Yan).

0024-3795/$ - see front matter © 2011 Published by Elsevier Inc.

doi:10.1016/j.laa.2011.12.020

Page 2: The coefficients of Laplacian characteristic polynomials of graphs

W. Qiu, W. Yan / Linear Algebra and its Applications 436 (2012) 2474–2479 2475

whereμ1(G) � μ2(G) � · · · � μn−1(G) � μn(G) = 0, are the eigenvalues of L(G) arranged in non-

increasing order. We call μ1(G) and μn−1(G) the Laplacian spectral radius and algebraic connectivity

of G, respectively. It is well known that a graph is connected if and only if its algebraic connectivity is

different from zero.

Denote the Laplacian characteristic polynomial of G by

σ(G; x) = det(xI − L(G)) = xn + q1(G)xn−1 + q2(G)xn−2 + · · · + qn−1(G)x + qn(G). (1.1)

The number of spanning trees of G, denoted by t(G), is the total number of distinct spanning

subgraphs of G that are trees. It is well known that [1]

t(G) = 1

n

n−1∏

i=1

μi(G) = (−1)n−1 qn−1(G)

n. (1.2)

Hence the number of spanning trees of G is determined by the Laplacian coefficient qn−1(G), and vice

versa.

The complete graph and the complete k-partite graph of order n are denoted by Kn and Kn1,n2,...,nk(ni � 1, n1 + n2 + · · · + nk = n), respectively. The vertex-disjoint union of two graphs G and H

is denoted by G ∪ H. Let G ∨ H be the graph obtained from G ∪ H by adding all possible edges from

vertices of G to vertices of H, i.e., G ∨ H = G ∪ H. Let κ(G), κ ′(G), and χ(G) be the connectivity,

edge-connectivity, and chromatic number of a graph G, respectively.

Recently, Li, Shiu, and Chang [6] obtained several interesting results on the bounds for the number

of spanning trees, denoted by t(G), of a connected graph G in terms of connectivity, edge-connectivity

and chromatic number as follows.

Theorem 1.1 [6]. Let G be a connected graph of order n with connectivity κ . Then

t(G) � κnκ−1(n − 1)n−κ−2.

The equality holds if and only if G ∼= (K1 ∪ Kn−κ−1) ∨ Kκ .

Theorem 1.2 [6]. Let G be a connected graph of order n with edge-connectivity κ ′. Then

t(G) � κ ′nκ ′−1(n − 1)n−κ ′−2.

The equality holds if and only if G ∼= (K1 ∪ Kn−κ ′−1) ∨ Kκ ′ .

Theorem 1.3 [6]. Let G be a connected graph of order n with chromatic number χ . Then

t(G) � nχ−2(n − r)(r−1)(χ−s)(n − r − 1)sr .

The equality holds if and only if G ∼= Kr, . . . , r︸ ︷︷ ︸χ−s

,r + 1, . . . , r + 1︸ ︷︷ ︸s

, where r and s are integers with

n = rχ + s and 0 � s < χ .

On theotherhand, ZhouandGutman [11]first considered theproblemon theordering the Laplacian

coefficients of trees. Stevanovic and Ilic [10] showed that among all connected unicyclic graphs of order

n, the kth coefficient qk is largest when the graph is a cycle Cn and smallest when the graph is the star

K1,n−1 with an additional edge between two of its pendent vertices. Some related work on Laplacian

coefficients can be found for example in [2–5,7,9].

In thispaper,wecharacterize theconnectedgraphGwith theconnectivityκ (resp. edge-connectivity

κ ′ and chromatic number χ ) which has the maximal coefficients of the Laplacian characteristic poly-

nomial. These results generalize Theorems 1.1–1.3.

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2476 W. Qiu, W. Yan / Linear Algebra and its Applications 436 (2012) 2474–2479

2. Results

First, we define the relation � (≺, , ) as follows.

Definition 2.1. We say p is partial larger than q if |p| > |q|, denoted by p � q. Similarly, we have

p ≺ q, p q, p q.

Definition 2.2. Let p(x) = ∑ni=0 pix

i and q(x) = ∑ni=0 qix

i. If |pi| � |qi| (resp. |pi| � |qi|) for each0 � i � n, then we call p(x) q(x) (resp. p(x) q(x)). If p(x) q(x) (resp. p(x) q(x)), and there

exists a j ∈ {0, 1, . . . , n} such that pj > qj (resp. pj < qj), we call p(x) � q(x) (resp. p(x) ≺ q(x)).

By the definition above, the following result is immediate.

Lemma 2.3. Suppose ai � bi � 0 for i = 1, 2, . . . , n. Then

n∏

i=1

(x − ai) n∏

i=1

(x − bi),

furthermore, if there exists a j ∈ {1, 2, . . . , n} such that aj > bj, then

n∏

i=1

(x − ai) �n∏

i=1

(x − bi).

Lemma 2.4 [1]. Let G be a graph of order n with the Laplacian characteristic polynomial σ(G; x) of form(1.1). Then, for 0 � i � n,

(−1)iqi(G) = ∑

F

P(F),

where the summation is over all sub-forests F of G which have i edges, and the symbol P(F) denotes the

product of the numbers of vertices in the components of F.

We use G to denote the complement of a graph G. For any e = uv ∈ E(G), i.e., e = uv is not an

edge in G. We use G + e to denote the graph obtained by adding e to G. Similarly, for any set W of

vertices (edges), G−W and G+W are the graphs obtained by deleting the vertices (edges) inW from

G and by adding the vertices (edges) in W to G, respectively. By Lemma 2.4, we obtain immediately

the following result.

Lemma 2.5. Let G be a non-complete connected graph of order n and e ∈ E(G). Then, for any 0 � i � n,

qi(G) qi(G + e).

Lemma2.6 [8]. LetG andH be twoconnectedgraphsof order r ands, respectively. If S(G)=(μ1(G), μ2(G),. . . , μr(G)) and S(H) = (μ1(H), μ2(H), . . . , μs(H)), then

S(G ∨ H) = (r + s, μ1(G) + s, μ2(G) + s, . . . , μr−1(G) + s, μ1(H) + r, μ2(H)

+r, . . . , μs−1(H) + r, 0).

Lemma 2.7. Let n, a and b be three positive integers and a + 1 � b/2, b � n. Then

(x − n + a + 1)a(x − n + b − a − 1)b−a−2 � (x − n + a)a−1(x − n + b − a)b−a−1.

Proof. Note that

(x − n+ a+ 1)(x − n+ b− a− 1) = x2 − (2n− b)x + (n2 − nb+ ab− a2) + (b− 2a− 1),

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W. Qiu, W. Yan / Linear Algebra and its Applications 436 (2012) 2474–2479 2477

and

(x − n + a)(x − n + b − a) = x2 − (2n − b)x + (n2 − nb + ab − a2).

Note that b − 2a − 2 � 0. Hence, by Lemma 2.3,

(x − n + a + 1)a−1(x − n + b − a − 1)a−1 � (x − n + a)a−1(x − n + b − a)a−1. (2.1)

Again, by Lemma 2.3,

(x − n + a + 1)(x − n + b − a − 1)b−2a−1 � (x − n + b − a)b−2a. (2.2)

The result follows from (2.1) × (2.2). �

Theorem 2.8. Let G be a connected graph of order n with chromatic number χ . Then

σ(G; x) x(x − n)χ−1(x − n + r)(r−1)(χ−s)(x − n + r + 1)rs.

The equality holds if and only if G ∼= Kr, . . . , r︸ ︷︷ ︸χ−s

,r + 1, . . . , r + 1︸ ︷︷ ︸s

, where r, s are integers with n = rχ + s

and 0 � s < χ .

Proof. Let G∗ be a graph having the maximum coefficients of the Laplacian characteristic polynomial

among all connected graphs of ordernwith chromatic numberχ . ThenV(G∗) can be partitioned intoχcolor classes, say V1, V2, . . . , Vχ . Let |Vi| = ni for i = 1, 2, . . . , χ . Then

∑χi=1 ni = n. Lemma 2.5 im-

plies thatG∗ ∼= Kn1,n2,...,nχ = Kn1 ∨Kn2 ∨· · ·∨Knχ . Assume that n1 � n2 � · · · � nχ . By Lemma 2.6,

S(G∗) = {n, . . . , n︸ ︷︷ ︸χ−1

, n − n1, . . . , n − n1︸ ︷︷ ︸n1−1

, . . . , n − nχ , . . . , n − nχ︸ ︷︷ ︸nχ−1

, 0}.

Hence,

σ(G∗; x) = x(x − n)χ−1χ∏

i=1

(x − n + ni)ni−1.

If nj − ni � 2, Lemma 2.7 implies that (let ni = a, ni + nj = b in Lemma 2.7)

(x − n + ni + 1)ni(x − n + nj − 1)nj−2 � (x − n + ni)ni−1(x − n + nj)

nj−1.

Thus, replacing any pair (ni, nj) satisfying nj − ni � 2 with the pair (ni + 1, nj − 1) in product∏χi=1(x− n+ ni)

ni−1, will increase the coefficients. By repeating this process, we find the coefficients

of x(x − n)χ−1 ∏χi=1(x − n + ni)

ni−1 with∑χ

i=1 ni = n and n1 � n2 � · · · � nχ is maximum if and

only if n1 = n2 = · · · = nχ−s = r and nχ−s+1 = · · · = nχ = r + 1, where r, s are integers with

n = rχ + s and 0 � s < χ . Then G∗ ∼= Kr, . . . , r︸ ︷︷ ︸χ−s

,r + 1, . . . , r + 1︸ ︷︷ ︸s

and

σ(G∗; x) = x(x − n)χ−1(x − n + r)(r−1)(χ−s)(x − n + r + 1)rs.

The result follows. �

Lemma 2.9. Let n, a and κ be three positive integers and 2 � a � � n−κ2

�. Then(x − n + 1)n−κ−2 � (x − a − κ)a−1(x − n + a)n−κ−a−1.

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2478 W. Qiu, W. Yan / Linear Algebra and its Applications 436 (2012) 2474–2479

Proof. Note that 2 � a � � n−κ2

� and n − 1 > n − a � a + κ . By Lemma 2.3,

(x − n + 1)n−κ−2 � (x − a − κ)a−1(x − n + a)n−κ−a−1.

The result follows. �

Theorem 2.10. Let G be a connected graph of order n with connectivity κ . Then

σ(G; x) x(x − κ)(x − n)κ(x − n + 1)n−κ−2.

The equality holds if and only if G ∼= (K1 ∪ Kn−κ−1) ∨ Kκ .

Proof. IfG = Kn, the result follows fromσ(G; x) = x(x−n)n−1. In the following,we considerG = Kn.

LetG∗ be a graph having themaximal coefficients of the Laplacian characteristic polynomial among

all connected graphs of order n with connectivity κ . Then there exists a vertex cut V0 ⊂ V(G∗) and

|V0| = κ , such that G∗ − V0 = G1 ∪ G2 ∪ · · · ∪ Gt , where G1, G2, . . . , Gt are t (t � 2) connected

components of G∗ − V0. By Lemma 2.5, t = 2, G1, G2 and G[V0] are complete, and each vertex of G1

and G2 is adjacent to each vertex in V0. Let ni = |Gi| for i = 1, 2. Then G∗ ∼= (Kn1 ∪ Kn2) ∨ Kκ and

n1 + n2 = n − κ . Assume that n1 � n2. By Lemma 2.6,

S(G∗) = {n, . . . , n︸ ︷︷ ︸κ

, n2 + κ, . . . , n2 + κ︸ ︷︷ ︸n2−1

, n1 + κ, . . . , n1 + κ︸ ︷︷ ︸n1−1

, κ, 0}.

So the Laplacian characteristic polynomial of G∗

σ(G∗; x) = x(x − κ)(x − n)κ (x − n1 − κ)n1−1(x − n2 − κ)n2−1.

If 2 � n1 � � n−κ2

�, then, by Lemma 2.9,

(x − n + 1)n−κ−2 � (x − n1 − κ)n1−1(x − n + n1)n−κ−n1−1.

Hence,wefind the coefficients of x(x−κ)(x−n)κ (x−n1−κ)n1−1(x−n2−κ)n2−1 withn1+n2 = n−κand n1 � n2 is maximum if and only if n1 = 1, n2 = n − κ − 1. Then G∗ ∼= (K1 ∪ Kn−κ−1) ∨ Kκ and

σ(G∗; x) = x(x − κ)(x − n)κ (x − n + 1)n−κ−2.

The result follows. �

Theorem 2.11. Let G be a connected graph of order n with edge-connectivity κ ′. Then

σ(G; x) x(x − κ ′)(x − n)κ′(x − n + 1)n−κ ′−2.

The equality holds if and only if G ∼= (K1 ∪ Kn−κ ′−1) ∨ Kκ ′ .

Proof. Let G be a connected graph of order n with connectivity κ and edge-connectivity κ ′. Thenκ � κ ′.

Note that

x(x − κ)(x − n + 1)κ′−κ ≺ x(x − κ ′)(x − n)κ

′−κ .

By Theorem 2.10,

σ(G; x) x(x − κ)(x − n)κ(x − n + 1)n−κ−2 x(x − κ ′)(x − n)κ′(x − n + 1)n−κ ′−2.

And the equality holds if and only ifG ∼= (K1∪Kn−κ−1)∨Kκ and κ = κ ′, that isG ∼= (K1∪Kn−κ ′−1)∨Kκ ′ . The result follows. �

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W. Qiu, W. Yan / Linear Algebra and its Applications 436 (2012) 2474–2479 2479

Remark 2.12. Obviously, Theorems 1.1–1.3 are immediate from Theorems 2.10, 2.11 and 2.8, respec-

tively.

Acknowledgements

We thank one of the referees for providing some helpful revising suggestions.

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