Hindawi Publishing Corporation ξ€ e Scientific World Journal Volume 2014, Article ID 374501, 6 pages http://dx.doi.org/10.1155/2014/374501

Research Article On the Signless Laplacian Spectral Radius of Bicyclic Graphs with Perfect Matchings Jing-Ming Zhang,1,2 Ting-Zhu Huang,1 and Ji-Ming Guo3 1

School of Mathematical Sciences, University of Electronic Science and Technology of China, Chengdu, Sichuan 611731, China College of Science, China University of Petroleum, Shandong, Qingdao 266580, China 3 College of Science, East China University of Science and Technology, Shanghai 200237, China 2

Correspondence should be addressed to Ting-Zhu Huang; [email protected] Received 3 April 2014; Accepted 22 May 2014; Published 11 June 2014 Academic Editor: Hung Nguyen-Xuan Copyright Β© 2014 Jing-Ming Zhang et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. The graph with the largest signless Laplacian spectral radius among all bicyclic graphs with perfect matchings is determined.

1. Introduction Let 𝐺 = (𝑉, 𝐸) be a simple connected graph with vertex set 𝑉 = {V1 , V2 , . . . , V𝑛 } and edge set 𝐸. Its adjacency matrix 𝐴(𝐺) = (π‘Žπ‘–π‘— ) is defined as 𝑛 Γ— 𝑛 matrix (π‘Žπ‘–π‘— ), where π‘Žπ‘–π‘— = 1 if V𝑖 is adjacent to V𝑗 , and π‘Žπ‘–π‘— = 0, otherwise. Denote by 𝑑(V𝑖 ) or 𝑑𝐺(V𝑖 ) the degree of the vertex V𝑖 . Let 𝑄(𝐺) = 𝐷(𝐺) + 𝐴(𝐺) be the signless Laplacian matrix of graph 𝐺, where 𝐷(𝐺) = diag(𝑑(V1 ), 𝑑(V2 ), . . . , 𝑑(V𝑛 )) denotes the diagonal matrix of vertex degrees of 𝐺. It is well known that 𝐴(𝐺) is a real symmetric matrix and 𝑄(𝐺) is a positive semidefinite matrix. The largest eigenvalues of 𝐴(𝐺) and 𝑄(𝐺) are called the spectral radius and the signless Laplacian spectral radius of 𝐺, denoted by 𝜌(𝐺) and π‘ž(𝐺), respectively. When 𝐺 is connected, 𝐴(𝐺) and 𝑄(𝐺) are a nonnegative irreducible matrix. By the well-known Perron-Frobenius theory, 𝜌(𝐺) is simple and has a unique positive unit eigenvector and so does π‘ž(𝐺). We refer to such an eigenvector corresponding to π‘ž(𝐺) as the Perron vector of 𝐺. Two distinct edges in a graph 𝐺 are independent if they are not adjacent in 𝐺. A set of mutually independent edges of 𝐺 is called a matching of 𝐺. A matching of maximum cardinality is a maximum matching in 𝐺. A matching 𝑀 that satisfies 2|𝑀| = 𝑛 = |𝑉(𝐺)| is called a perfect matching of the graph 𝐺. Denote by 𝐢𝑛 and 𝑃𝑛 the cycle and the path on 𝑛 vertices, respectively.

The characteristic polynomial of 𝐴(𝐺) is det(π‘₯𝐼 βˆ’ 𝐴(𝐺)), which is denoted by Ξ¦(𝐺) or Ξ¦(𝐺, π‘₯). The characteristic polynomial of 𝑄(𝐺) is det(π‘₯𝐼 βˆ’ 𝑄(𝐺)), which is denoted by Ξ¨(𝐺) or Ξ¨(𝐺, π‘₯). A bicyclic graph is a connected graph in which the number of vertices equals the number of edges minus one. Let 𝐢𝑝 and πΆπ‘ž be two vertex-disjoint cycles. Suppose that V1 is a vertex of 𝐢𝑝 and V𝑙 is a vertex of πΆπ‘ž . Joining V1 and V𝑙 by a path V1 V2 β‹… β‹… β‹… V𝑙 of length 𝑙 βˆ’ 1, where 𝑙 β‰₯ 1 and 𝑙 = 1 means identifying V1 with V𝑙 , denoted by 𝐡(𝑝, 𝑙, π‘ž), is called an ∞-graph (see Figure 1). Let 𝑃𝑙+1 , 𝑃𝑝+1 , and π‘ƒπ‘ž+1 be the three vertex-disjoint paths, where 𝑙, 𝑝, π‘ž β‰₯ 1, and at most one of them is 1. Identifying the three initial vertices and the three terminal vertices of them, respectively, denoted by 𝑃(𝑙, 𝑝, π‘ž), is called a πœƒ-graph (see Figure 2). Let 𝐡𝑛 (2πœ‡) be the set of all bicyclic graphs on 𝑛 = 2πœ‡ (πœ‡ β‰₯ 2) vertices with perfect matchings. Obviously 𝐡𝑛 (2πœ‡) consists of two types of graphs: one type, denoted by 𝐡𝑛+ (2πœ‡), is a set of graphs each of which is an ∞-graph with trees attached; the other type, denoted by 𝐡𝑛++ (2πœ‡), is a set of graphs each of which is πœƒ- graph with trees attached. Then we have 𝐡𝑛 (2πœ‡) = 𝐡𝑛+ (2πœ‡) βˆͺ 𝐡𝑛++ (2πœ‡). The investigation on the spectral radius of graphs is an important topic in the theory of graph spectra, in which some early results can go back to the very beginnings (see [1]). The recent developments on this topic also involve the problem

2

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Cp

1

Cq

Cp

1

Β·Β·Β·

lβˆ’1 l

Cq

B(p, l, q) (l β‰₯ 2)

B(p, 1, q)

Figure 1: 𝐡(𝑝, 1, π‘ž) and 𝐡(𝑝, 𝑙, π‘ž) (𝑙 β‰₯ 2). Pl+1 Β·Β·Β· Pp+1 Β·Β·Β· Β·Β·Β· Pq+1

Figure 2: 𝑃(𝑝, 𝑙, π‘ž).

concerning graphs with maximal or minimal spectral radius of a given class of graphs. In [2], Chang and Tian gave the first two spectral radii of unicyclic graphs with perfect matchings. Recently, Yu and Tian [3] gave the first two spectral radii of unicyclic graphs with a given matching number; Guo [4] gave the first six spectral radii over the class of unicyclic graphs on a given number of vertices; and Guo [5] gave the first ten spectral radii over the class of unicyclic graphs on a given number of vertices and the first four spectral radii of unicyclic graphs with perfect matchings. For more results on this topic, the reader is referred to [6–9] and the references therein. In this paper, we deal with the extremal signless Laplacian spectral radius problems for the bicyclic graphs with perfect matchings. The graph with the largest signless Laplacian spectral radius among all bicyclic graphs with perfect matchings is determined.

2. Lemmas Let 𝐺 βˆ’ 𝑒 or 𝐺 βˆ’ 𝑒V denote the graph obtained from 𝐺 by deleting the vertex 𝑒 ∈ 𝑉(𝐺) or the edge 𝑒V ∈ 𝐸(𝐺). A pendant vertex of 𝐺 is a vertex with degree 1. A path 𝑃 : VV1 V2 β‹… β‹… β‹… Vπ‘˜ in 𝐺 is called a pendant path if 𝑑(V1 ) = 𝑑(V2 ) = β‹… β‹… β‹… = 𝑑(Vπ‘˜βˆ’1 ) = 2 and 𝑑(Vπ‘˜ ) = 1. If π‘˜ = 1, then we say VV1 is a pendant edge of the graph 𝐺. In order to complete the proof of our main result, we need the following lemmas. Lemma 1 (see [10, 11]). Let 𝐺 be a connected graph and 𝑒, V two vertices of 𝐺. Suppose that V1 , V2 , . . . , V𝑠 ∈ 𝑁(V) \ {𝑁(𝑒) βˆͺ 𝑒} (1 ≀ 𝑠 ≀ 𝑑(V)) and π‘₯ = (π‘₯1 , π‘₯2 , . . . , π‘₯𝑛 ) is the Perron vector of 𝐺, where π‘₯𝑖 corresponds to the vertex V𝑖 (1 ≀ 𝑖 ≀ 𝑛). Let πΊβˆ— be the graph obtained from 𝐺 by deleting the edges VV𝑖 and adding the edges 𝑒V𝑖 (1 ≀ 𝑖 ≀ 𝑠). If π‘₯𝑒 β‰₯ π‘₯V , then π‘ž(𝐺) < π‘ž(πΊβˆ— ). The cardinality of a maximum matching of 𝐺 is commonly known as its matching number, denoted by πœ‡(𝐺). From Lemma 1, we have the following results. Corollary 2. Let 𝑀 and V be two vertices in a connected graph 𝐺 and suppose that 𝑠 paths {𝑀𝑀1 𝑀1σΈ€  , 𝑀𝑀2 𝑀2σΈ€  , . . . , 𝑀𝑀𝑠 𝑀𝑠󸀠 } of

length 2 are attached to 𝐺 at 𝑀 and 𝑑 paths {VV1 V1σΈ€  , VV2 V2σΈ€  , . . . , VV𝑑 V𝑑󸀠 } of length 2 are attached to 𝐺 at V to form 𝐺𝑠,𝑑 . Then either π‘ž(𝐺𝑠+𝑖,π‘‘βˆ’π‘– ) > π‘ž(𝐺𝑠,𝑑 ) (1 ≀ 𝑖 ≀ 𝑑) or π‘ž(πΊπ‘ βˆ’π‘–,𝑑+𝑖 ) > π‘ž(𝐺𝑠,𝑑 ) (1 ≀ 𝑖 ≀ 𝑠)or πœ‡(𝐺0,𝑠+𝑑 ) = πœ‡(𝐺𝑠+𝑑,0 ) = πœ‡(𝐺𝑠,𝑑 ). Corollary 3. Suppose 𝑒 is a vertex of graph 𝐺 with 𝑑(𝑒) β‰₯ 2. Let 𝐺 : 𝑒V be a graph obtained by attaching a pendant edge 𝑒V to 𝐺 at 𝑒. Suppose 𝑑 paths {VV1 V1σΈ€  , . . . , VV𝑑 V𝑑󸀠 } of length 2 are attached to 𝐺 : 𝑒V at V to form 𝐿 0,𝑑 . Let 𝑀1,𝑑 = 𝐿 0,𝑑 βˆ’ VV1 βˆ’ β‹… β‹… β‹… βˆ’ VV𝑑 + 𝑒V1 + β‹… β‹… β‹… + 𝑒V𝑑 .

(1)

If 𝐿 0,𝑑 has a perfect matching, then we have that 𝑀1,𝑑 has a perfect matching and π‘ž (𝑀1,𝑑 ) > π‘ž (𝐿 0,𝑑 ) ,

(𝑑 β‰₯ 1) .

(2)

An internal path of a graph 𝐺 is a sequence of vertices V1 , V2 , . . . , Vπ‘š with π‘š β‰₯ 2 such that (1) the vertices in the sequences are distinct (except possibly V1 = Vπ‘š ); (2) V𝑖 is adjacent to V𝑖+1 , (𝑖 = 1, 2, . . . , π‘š βˆ’ 1); (3) the vertex degrees 𝑑(V𝑖 ) satisfy 𝑑(V1 ) β‰₯ 3, 𝑑(V2 ) = β‹… β‹… β‹… = 𝑑(Vπ‘šβˆ’1 ) = 2 (unless π‘š = 2) and 𝑑(Vπ‘š ) β‰₯ 3. Let 𝐺 be a connected graph, and 𝑒V ∈ 𝐸(𝐺). The graph 𝐺𝑒V is obtained from 𝐺 by subdividing the edge 𝑒V, that is, adding a new vertex 𝑀 and edges 𝑒𝑀, 𝑀V in 𝐺 βˆ’ 𝑒V. By similar reasoning as that of Theorem 3.1 of [12], we have the following result. Lemma 4. Let 𝑃 : V1 V2 β‹… β‹… β‹… Vπ‘˜ (π‘˜ β‰₯ 2) be an internal path of a connected graph 𝐺. Let 𝐺󸀠 be a graph obtained from 𝐺 by subdividing some edge of 𝑃. Then we have π‘ž(𝐺󸀠 ) < π‘ž(𝐺). Corollary 5. Suppose that V1 V2 β‹… β‹… β‹… Vπ‘˜ (π‘˜ β‰₯ 3) is an internal path of the graph 𝐺 and V1 Vπ‘˜ βˆ‰ 𝐸(𝐺) for π‘˜ = 3. Let πΊβˆ— be the graph obtained from 𝐺 βˆ’ V𝑖 V𝑖+1 βˆ’ V𝑖+1 V𝑖+2 (1 ≀ 𝑖 ≀ π‘˜ βˆ’ 2) by amalgamating V𝑖 , V𝑖+1 , and V𝑖+2 to form a new vertex 𝑀1 together with attaching a new pendant path 𝑀1 𝑀2 𝑀3 of length 2 at 𝑀1 . Then π‘ž(πΊβˆ— ) > π‘ž(𝐺) and πœ‡(πΊβˆ— ) β‰₯ πœ‡(𝐺). Proof. From Lemma 4 and the well-known Perron-Frobenius theorem, It is easy to prove that π‘ž(πΊβˆ— ) > π‘ž(𝐺). Next, we prove that πœ‡(πΊβˆ— ) β‰₯ πœ‡(𝐺). Let 𝑀 be a maximum matching of 𝐺. If V𝑖 V𝑖+1 ∈ 𝑀 or V𝑖+1 V𝑖+2 ∈ 𝑀, then {𝑀 βˆ’ {V𝑖 V𝑖+1 }} βˆͺ {𝑀2 𝑀3 } or {𝑀 βˆ’ {V𝑖+1 V𝑖+2 }} βˆͺ {𝑀2 𝑀3 } is a matching of πΊβˆ— . Thus, πœ‡(πΊβˆ— ) β‰₯ πœ‡(𝐺); If V𝑖 V𝑖+1 βˆ‰ 𝑀 and V𝑖+1 V𝑖+2 βˆ‰ 𝑀, then there exist two edges V𝑖 𝑒 and V𝑖+2 V ∈ 𝑀. Thus, {𝑀 βˆ’ {V𝑖 𝑒}} βˆͺ {𝑀2 𝑀3 } is a matching of πΊβˆ— . Hence, πœ‡(πΊβˆ— ) β‰₯ πœ‡(𝐺), completing the proof. Let 𝑆(𝐺) be the subdivision graph of 𝐺 obtained by subdividing every edge of 𝐺. Lemma 6 (see [13, 14]). Let 𝐺 be a graph on 𝑛 vertices and π‘š edges, Ξ¦(𝐺) = det(π‘₯𝐼 βˆ’ 𝐴(𝐺)), Ξ¨(𝐺) = det(π‘₯𝐼 βˆ’ 𝑄(𝐺)). Then Ξ¦(𝑆(𝐺)) = π‘₯π‘šβˆ’π‘› Ξ¨(𝐺, π‘₯2 ).

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Lemma 7 (see [15]). Let 𝑒 be a vertex of a connected graph 𝐺. Let πΊπ‘˜,𝑙 (π‘˜, 𝑙 β‰₯ 0) be the graph obtained from 𝐺 by attaching two pendant paths of lengths π‘˜ and 𝑙 at 𝑒, respectively. If π‘˜ β‰₯ 𝑙 β‰₯ 1, then π‘ž(πΊπ‘˜,𝑙 ) > π‘ž(πΊπ‘˜+1,π‘™βˆ’1 ). Corollary 8. Suppose that V1 V2 β‹… β‹… β‹… Vπ‘˜ (π‘˜ β‰₯ 3) is a pendant path of the graph 𝐺 with 𝑑(V1 ) β‰₯ 3. Let πΊβˆ— be the graph obtained from 𝐺 βˆ’ V1 V2 βˆ’ V2 V3 by amalgamating V1 , V2 , and V3 to form a new vertex 𝑀1 together with attaching a new pendant path 𝑀1 𝑀2 𝑀3 of length 2 at 𝑀1 . Then π‘ž(πΊβˆ— ) > π‘ž(𝐺) and πœ‡(πΊβˆ— ) β‰₯ πœ‡(𝐺). βˆ—

Proof. By Lemma 7 we have π‘ž(𝐺 ) > π‘ž(𝐺). By the proof as that of Corollary 5, we have πœ‡(πΊβˆ— ) β‰₯ πœ‡(𝐺). Lemma 9 (see [16]). Let 𝑒 = 𝑒V be an edge of 𝐺, and let 𝐢(𝑒) be the set of all circuits containing 𝑒. Then Ξ¦(𝐺) satisfies Ξ¦ (𝐺) = Ξ¦ (𝐺 βˆ’ 𝑒) βˆ’ Ξ¦ (𝐺 βˆ’ 𝑒 βˆ’ V) βˆ’ 2βˆ‘Ξ¦ (𝐺 βˆ’ 𝑉 (𝑍)) , 𝑍

(3)

(1) π‘ž(𝑀0,𝑑+1 ) > π‘ž(𝐿 1,𝑑 ), (𝑑 β‰₯ 1); (2) πœ‡(𝐿 1,𝑑 ) ≀ πœ‡(𝑀0,𝑑+1 ).

3. Main Results Lemma 15. Let 𝐺1 , 𝐺2 , . . . , 𝐺6 be the graphs as Figure 3. Then for πœ‡ β‰₯ 3, we have π‘ž(𝐺1 ) > π‘ž(𝐺𝑖 ), (𝑖 = 2, 3, . . . , 6). Proof. From Lemma 10, we have Ξ¦ (𝑆 (𝐺1 )) = π‘₯ (π‘₯2 βˆ’ 1) (π‘₯4 βˆ’ 3π‘₯2 + 1)

πœ‡βˆ’3

(π‘₯5 βˆ’ 4π‘₯3 + 3π‘₯)

2

βˆ’ (πœ‡ βˆ’ 3) (π‘₯2 βˆ’ 1) (π‘₯3 βˆ’ 2π‘₯)

where the summation extends over all 𝑍 ∈ 𝐢(𝑒). Lemma 10 (see [16]). Let V be a vertex of 𝐺, and let πœ‘(V) be the collection of circuits containing V, and let 𝑉(𝑍) denote the set of vertices in the circuit 𝑍. Then the characteristic polynomial Ξ¦(𝐺) satisfies Ξ¦ (𝐺) = π‘₯Ξ¦ (𝐺 βˆ’ V) βˆ’ βˆ‘Ξ¦ (𝐺 βˆ’ V βˆ’ 𝑀) 𝑀

βˆ’ 2 βˆ‘ Ξ¦ (𝐺 βˆ’ 𝑉 (𝑍)) ,

Lemma 14 (see [18]). Suppose 𝑒 is a vertex of the bicyclic graph 𝐺 with 𝑑𝐺(𝑒) β‰₯ 2. Let 𝐺 : 𝑒V be a graph obtained by attaching a pendant edge 𝑒V to 𝐺 at 𝑒. Suppose that a pendant edge V𝑀1 and 𝑑 paths {VV1 V1σΈ€  , . . . , VV𝑑 V𝑑󸀠 } of length 2 are attached to 𝐺 : 𝑒V at V to form 𝐿 1,𝑑 . Let 𝑀0,𝑑+1 = 𝐿 1,𝑑 βˆ’VV1 βˆ’β‹… β‹… β‹…βˆ’VV𝑑 +𝑒V1 +β‹… β‹… β‹…+𝑒V𝑑 . Then we have

(4)

π‘βˆˆπœ‘(V)

Γ— (π‘₯4 βˆ’ 3π‘₯2 + 1)

πœ‡βˆ’4

πœ‡βˆ’3

βˆ’ π‘₯(π‘₯4 βˆ’ 3π‘₯2 + 1)

2

(π‘₯5 βˆ’ 4π‘₯3 + 3π‘₯)

2

(π‘₯5 βˆ’ 4π‘₯3 + 3π‘₯)

βˆ’ 4 (π‘₯2 βˆ’ 1) (π‘₯4 βˆ’ 3π‘₯2 + 1)

πœ‡βˆ’3

Γ— (π‘₯5 βˆ’ 4π‘₯3 + 3π‘₯) (π‘₯4 βˆ’ 3π‘₯2 + 2) Ξ¦ (𝑆 (𝐺2 )) = π‘₯ (π‘₯2 βˆ’ 1) (π‘₯4 βˆ’ 3π‘₯2 + 1)

πœ‡βˆ’4

(π‘₯5 βˆ’ 4π‘₯3 + 3π‘₯)

where the first summation extends over those vertices 𝑀 adjacent to V, and the second summation extends over all 𝑍 ∈ πœ‘(V).

Γ— (π‘₯9 βˆ’ 8π‘₯7 + 19π‘₯5 βˆ’ 14π‘₯3 + 3π‘₯)

Lemma 11 (see [17]). Let 𝐺 be a connected graph, and let 𝐺󸀠 be a proper spanning subgraph of 𝐺. Then 𝜌(𝐺) > 𝜌(𝐺󸀠 ), and, for π‘₯ β‰₯ 𝜌(𝐺), Ξ¦(𝐺󸀠 ) > Ξ¦(𝐺).

Γ— (π‘₯5 βˆ’ 4π‘₯3 + 3π‘₯) (π‘₯9 βˆ’ 8π‘₯7 +19π‘₯5 βˆ’14π‘₯3 + 3π‘₯)

Let Ξ”(𝐺) denote the maximum degree of 𝐺. From Lemma 11, we have 𝜌(𝐺) β‰₯ βˆšΞ”(𝐺).

Γ— (π‘₯9 βˆ’ 8π‘₯7 + 19π‘₯5 βˆ’ 14π‘₯3 + 3π‘₯) βˆ’ 2 (π‘₯2 βˆ’ 1)

Lemma 12 (see [13]). Let 𝐺 be a connected graph, and let 𝐺󸀠 be a proper spanning subgraph of 𝐺. Then π‘ž(𝐺) > π‘ž(𝐺󸀠 ).

Γ— (π‘₯4 βˆ’ 3π‘₯2 + 1)

Lemma 13 (see [18]). Let 𝐺 = (𝑉, 𝐸) be a connected graph with vertex set 𝑉 = {V1 , V2 , . . . , V𝑛 }. Suppose that V1 V2 ∈ 𝐸(𝐺), V1 V3 ∈ 𝐸(𝐺), V1 V4 ∈ 𝐸(𝐺), 𝑑(V3 ) β‰₯ 2, 𝑑(V4 ) β‰₯ 2, 𝑑(V1 ) = 3, and 𝑑(V2 ) = 1. Let 𝐺V1 V3 (𝐺V1 V4 ) be the graph obtained from 𝐺 βˆ’ V1 V3 (𝐺 βˆ’ V1 V4 ) by amalgamating V1 and V3 (V4 ) to form a new vertex 𝑀1 (𝑀3 ) together with subdivising the edge 𝑀1 V2 (𝑀3 V2 ) with a new vertex 𝑀2 (𝑀4 ). If π‘ž = π‘ž(𝐺) > 3 + √5 β‰ˆ 5.23606, then (1) either π‘ž(𝐺V1 V3 ) > π‘ž(𝐺) or π‘ž(𝐺V1 V4 ) > π‘ž(𝐺); (2) πœ‡(𝐺V1 V3 ) β‰₯ πœ‡(𝐺) and πœ‡(𝐺V1 V4 ) β‰₯ πœ‡(𝐺).

πœ‡βˆ’5

βˆ’ (πœ‡ βˆ’ 4) (π‘₯2 βˆ’ 1) (π‘₯3 βˆ’ 2π‘₯) (π‘₯4 βˆ’ 3π‘₯2 + 1)

πœ‡βˆ’4

βˆ’ π‘₯(π‘₯4 βˆ’ 3π‘₯2 + 1)

(π‘₯5 βˆ’ 4π‘₯3 + 3π‘₯)

πœ‡βˆ’3

Γ— (π‘₯9 βˆ’ 8π‘₯7 + 19π‘₯5 βˆ’ 14π‘₯3 + 3π‘₯) βˆ’ 2 (π‘₯2 βˆ’ 1) (π‘₯4 βˆ’ 3π‘₯2 + 1)

πœ‡βˆ’4

(π‘₯5 βˆ’ 4π‘₯3 + 3π‘₯)

Γ— (π‘₯8 βˆ’ 7π‘₯6 + 14π‘₯4 βˆ’ 8π‘₯2 + 1) βˆ’ 2 (π‘₯2 βˆ’ 1) Γ— (π‘₯4 βˆ’ 3π‘₯2 + 1)

πœ‡βˆ’4

Γ— (π‘₯9 βˆ’ 8π‘₯7 + 19π‘₯5 βˆ’ 14π‘₯3 + 3π‘₯) 3

βˆ’ 2(π‘₯2 βˆ’ 1) (π‘₯4 βˆ’ 3π‘₯2 + 1)

πœ‡βˆ’4

(π‘₯5 βˆ’ 4π‘₯3 + 3π‘₯). (5)

4

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From (5), we have

From Corollary 2, we have all the pendant paths of length 2 in πΊβˆ— which must be attached at the same vertex of 𝐻. In the following, we prove that πΊβˆ— is isomorphic to one of graphs 𝐺1 , 𝐺2 , . . . , 𝐺6 (see Figure 3). We distinguish the following two cases:

Ξ¦ (𝑆 (𝐺2 )) βˆ’ Ξ¦ (𝑆 (𝐺1 )) = π‘₯3 (π‘₯4 βˆ’ 3π‘₯2 + 1)

πœ‡βˆ’5

Γ— [(βˆ’2 + πœ‡) π‘₯14 + (22 βˆ’ 10πœ‡) π‘₯12 + (βˆ’97 + 39πœ‡) π‘₯10

(6)

+ (221 βˆ’ 75πœ‡) π‘₯8 + (βˆ’278 + 74πœ‡) π‘₯6 + (189 βˆ’ 35πœ‡) π‘₯4 + (βˆ’63 + 6πœ‡) π‘₯2 + 8] . If πœ‡ β‰₯ 12, for π‘₯ β‰₯ 𝜌(𝑆(𝐺1 )) β‰₯ βˆšΞ”π‘†(𝐺1 ) = βˆšπœ‡ + 2, it is easy to prove that Ξ¦(𝑆(𝐺2 )) βˆ’ Ξ¦(𝑆(𝐺1 )) > 0. Hence, 𝜌(𝑆(𝐺1 )) > 𝜌(𝑆(𝐺2 )) for πœ‡ β‰₯ 12. When πœ‡ = 4, 5, . . . , 11, by direct calculation, we also get 𝜌(𝑆(𝐺1 )) > 𝜌(𝑆(𝐺2 )), respectively. So, 𝜌(𝑆(𝐺1 )) > 𝜌(𝑆(𝐺2 )) for πœ‡ β‰₯ 4. By Lemma 6, we know that 𝜌(𝑆(𝐺)) = βˆšπ‘ž(𝐺). Hence, π‘ž(𝐺1 ) > π‘ž(𝐺2 ) (πœ‡ β‰₯ 4). By similar method, the result is as follows. Theorem 16. If 𝐺 ∈ 𝐡𝑛 (2πœ‡) (𝑛 β‰₯ 6), then π‘ž(𝐺) ≀ π‘ž(𝐺1 ), with equality if and only if 𝐺 = 𝐺1 . Proof. Let 𝑋 = (π‘₯1 , π‘₯2 , . . . , π‘₯𝑛 )𝑇 be the Perron vector of 𝐺. From Lemma 12 and by direct calculations, we have, for πœ‡ β‰₯ 3, π‘ž(𝐺1 ) > π‘ž(𝐡(3, 1, 3)) β‰ˆ 5.5615 > 3 + √5. So, in the following, we only consider those graphs, which have signless Laplacian spectral radius greater than π‘ž(𝐺) > 3 + √5. Choose πΊβˆ— ∈ 𝐡𝑛 (2πœ‡) such that π‘ž(πΊβˆ— ) is as large as possible. Then πΊβˆ— consists of a subgraph 𝐻 which is one of graphs 𝐡(𝑝, 1, π‘ž), 𝐡(𝑝, 𝑙, π‘ž), and 𝑃(𝑝, 𝑙, π‘ž) (see Figures 1 and 2). Let 𝑇 be a tree attached at some vertex, say, 𝑧, of 𝐻; |𝑉(𝑇)| is the number of vertices of 𝑇 including the vertex 𝑧. In the following, we prove that tree 𝑇 is formed by attaching at most one path of length 1 and other paths of length 2 at 𝑧. Suppose 𝑃 : V0 V1 β‹… β‹… β‹… Vπ‘˜ is a pendant path of πΊβˆ— and Vπ‘˜ is a pendant vertex. If π‘˜ β‰₯ 3, let 𝐻1 = πΊβˆ— βˆ’ V2 V3 + V0 V3 . From Corollary 8, we have 𝐻1 ∈ 𝐡𝑛 (2πœ‡) and π‘ž(𝐻1 ) > π‘ž(πΊβˆ— ), which is a contradiction. For each vertex 𝑒 ∈ 𝑉(𝑇 βˆ’ 𝑧), we prove that 𝑑(𝑒) ≀ 2. Otherwise, there must exist some vertex 𝑒0 of 𝑇 βˆ’ 𝑧 such that 𝑑(𝑧, 𝑒0 ) = max{𝑑(𝑧, V) | V ∈ 𝑉(𝑇) βˆ’ 𝑧, 𝑑(V) β‰₯ 3}. From the above proof, we have the pendant paths attached 𝑒0 which have length of at most 2. Obviously, there exists an internal path between 𝑒0 and some vertex 𝑀 of πΊβˆ— , denoted by 𝑃 : 𝑒0 𝑀1 β‹… β‹… β‹… π‘€π‘š (π‘€π‘š = 𝑀). If π‘š β‰₯ 2, let 𝐻2 be the graph obtained from πΊβˆ— βˆ’ 𝑒0 𝑀1 βˆ’ 𝑀1 𝑀2 by amalgamating 𝑒0 , 𝑀1 , and 𝑀2 to form a new vertex 𝑠1 together with attaching a new pendant path 𝑠1 𝑠2 𝑠3 of length 2 at 𝑠1 . From Corollary 5, we have 𝐻2 ∈ 𝐡𝑛 (2πœ‡) and π‘ž(𝐻2 ) > π‘ž(πΊβˆ— ), which is a contradiction. If π‘š = 1, by Lemma 14 and Corollary 3, we can get a new graph 𝐻3 such that 𝐻3 ∈ 𝐡𝑛 (2πœ‡) and π‘ž(𝐻3 ) > π‘ž(πΊβˆ— ), which is a contradiction. From the proof as above, we have the tree 𝑇 which is obtained by attaching some pendant paths of length 2 and at most one pendant path of length 1 at 𝑧.

Case 1 (πΊβˆ— ∈ 𝐡𝑛+ (2πœ‡)). We prove that πΊβˆ— is isomorphic to one of graphs 𝐺1 , 𝐺2 , and 𝐺3 . Assume that there exists some cycle 𝐢𝑝 of πΊβˆ— with length of at least 4. From Corollary 5, we have each internal path of πΊβˆ— , which is not a triangle, has length 1. Note that all the pendant paths of length 2 in πΊβˆ— must be attached at the same vertex, then there must exist edges V1 V2 ∈ 𝐸(πΊβˆ— ), V1 V3 ∈ 𝐸(𝐢𝑝 ), and V1 V4 ∈ 𝐸(𝐢𝑝 ) and 𝑑(V1 ) = 3, 𝑑(V2 ) = 1, 𝑑(V3 ) β‰₯ 3, and 𝑑(V4 ) β‰₯ 3. Let 𝐻4 (𝐻5 ) be the graph obtained from πΊβˆ— βˆ’ V1 V3 (πΊβˆ— βˆ’ V1 V4 ) by amalgamating V1 and V3 (V4 ) to form a new vertex 𝑦1 (𝑦3 ) together with subdividing the edge 𝑦1 V2 (𝑦3 V2 ) with a new vertex 𝑦2 (𝑦4 ). From Lemma 13, we have 𝐻𝑖 ∈ 𝐡𝑛+ (2πœ‡) (𝑖 = 4, 5) and either π‘ž(𝐻4 ) > π‘ž(πΊβˆ— ) or π‘ž(𝐻5 ) > π‘ž(πΊβˆ— ), which is a contradiction. Then for each cycle 𝐢𝑔 of πΊβˆ— , we have 𝑔 = 3. βˆ—

Assume that 𝑙 β‰₯ 4. If there exists an internal path 𝑃 : V𝑖 V𝑖+1 β‹… β‹… β‹… Vπ‘š (1 ≀ 𝑖 < π‘š ≀ 𝑙) with length greater than 1 in πΊβˆ— . Then, by Corollary 5, we can get a new graph 𝐻6 such that π‘ž(𝐻6 ) > π‘ž(πΊβˆ— ) and 𝐻6 ∈ 𝐡𝑛+ (2πœ‡), which is a contradiction. Thus, 𝑑(V𝑖 ) β‰₯ 3 (𝑖 = 1, 2, . . . , 𝑙) and either 𝑑(V2 ) = 3 or 𝑑(V3 ) = 3. By Lemma 13, we can also get a new graph 𝐻7 such that π‘ž(𝐻7 ) > π‘ž(πΊβˆ— ) and 𝐻7 ∈ 𝐡𝑛+ (2πœ‡), which is a contradiction. Hence, 𝑙 ≀ 3. We distinguish the following three subcases: Subcase 1.1 (𝑙 = 1). Then πΊβˆ— is the graph obtained by attaching all the pendant paths of length 2 at the same vertex of 𝐺, where 𝐺 is one of graphs 𝐺1 , . . . , 𝐺5 (see Figure 4). Assume that 𝐺 = 𝐺2 . If π‘₯𝑒 β‰₯ π‘₯V , let 𝐻8 = πΊβˆ— βˆ’ π‘ŸV βˆ’ 𝑠V + π‘Ÿπ‘’ + 𝑠𝑒; if π‘₯V β‰₯ π‘₯𝑒 , let 𝐻9 = πΊβˆ— βˆ’ 𝑒𝑑 + 𝑑V. Obviously, 𝐻𝑖 ∈ 𝐡𝑛+ (2πœ‡) (𝑖 = 8, 9) and either π‘ž(𝐻8 ) > π‘ž(πΊβˆ— ) or π‘ž(𝐻9 ) > π‘ž(πΊβˆ— ) by Lemma 1, which is a contradiction. By similar reasoning, we have also 𝐺 =ΜΈ 𝐺3 . Subcase 1.2 (𝑙 = 2). Then πΊβˆ— is the graph obtained by attaching all the pendant paths of length 2 at the same vertex of 𝐺, where 𝐺 is one of graphs 𝐺6 , . . . , 𝐺14 (see Figure 4). Assume that 𝐺 = 𝐺6 . If π‘₯V1 β‰₯ π‘₯V2 , let 𝐻10 = πΊβˆ— βˆ’ V2 𝑒 + V1 𝑒; if π‘₯V2 β‰₯ π‘₯V1 , let 𝐻11 = πΊβˆ— βˆ’ V1 π‘Ÿ + V2 π‘Ÿ. Obviously, 𝐻𝑖 ∈ 𝐡𝑛+ (2πœ‡) (𝑖 = 10, 11) and either π‘ž(𝐻10 ) > π‘ž(πΊβˆ— ) or π‘ž(𝐻11 ) > π‘ž(πΊβˆ— ) by Lemma 1, which is a contradiction. By similar reasoning, we have also 𝐺 =ΜΈ 𝐺𝑗 (𝑗 = 6, . . . , 14). Subcase 1.3 (𝑙 = 3). Then πΊβˆ— is the graph obtained by attaching all the pendant paths of length 2 at the same vertex of 𝐺, where 𝐺 is one of graphs 𝐺15 , . . . , 𝐺20 (see Figure 4).

Assume that 𝐺 = 𝐺15 . If π‘₯V1 β‰₯ π‘₯V2 , let 𝐻12 = πΊβˆ— βˆ’ V2 V3 + V1 V3 ; if π‘₯V2 β‰₯ π‘₯V1 , let 𝐻13 = πΊβˆ— βˆ’ V1 𝑧1 + V2 𝑧1 . Obviously, 𝐻𝑖 ∈ 𝐡𝑛+ (2πœ‡) (𝑖 = 12, 13) and either π‘ž(𝐻12 ) > π‘ž(πΊβˆ— ) or π‘ž(𝐻13 ) >

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5 πœ‡βˆ’4 Β·Β·Β·

πœ‡βˆ’3 Β·Β·Β·

πœ‡βˆ’5 Β·Β·Β·

G2

G1

.. .πœ‡ βˆ’ 2

G3

.. .πœ‡ βˆ’ 4

.. .πœ‡βˆ’3

G4

G5

G6

Figure 3: 𝐺1 –𝐺6 . y1

y4 y3

1

u

t



y2

G1 r

G2 u

12

r

r

u

1 2 3

G16

z1

2

u

z1

G17

u

1 2

G9

G13

1 2 3

r

1

1

G12

G5

u

2

G8

1 2

G11

r

1

G7 u

G4 u

2

2

G6

z1

G3 r

1

2

r

z1



s

r

u

1

u

r

G10 u

r

z1

1 2

1 2 3

G14

G15 z1

1 2 3

1 2 3

G18

G19

1 2 3

G20

G21

G22

G23

G24

Figure 4: 𝐺1 –𝐺24 .

π‘ž(πΊβˆ— ) by Lemma 1, a contradiction. By similar reasoning, we have also 𝐺 =ΜΈ 𝐺𝑗 (𝑗 = 15, . . . , 20). Thus, 𝐺 is isomorphic to one of the graphs 𝐺1 , 𝐺4 and 𝐺5 . In the following, we prove that πΊβˆ— is isomorphic to one of graphs 𝐺1 , 𝐺2 and 𝐺3 . Assume that πΊβˆ— is obtained by attaching all the pendant paths of length 2 at vertex 𝑦4 of 𝐺1 . If π‘₯V1 β‰₯ π‘₯𝑦4 , let 𝐻14 be the graph obtained from 𝐺1 by attaching πœ‡ βˆ’ 3 pendant paths of length 2 at V1 . If π‘₯𝑦4 β‰₯ π‘₯V1 , let 𝐻15 = πΊβˆ— βˆ’ V1 𝑦3 βˆ’ V1 𝑦1 βˆ’ V1 𝑦2 + 𝑦4 𝑦3 + 𝑦4 𝑦1 + 𝑦4 𝑦2 . Obviously, 𝐻14 = 𝐻15 = 𝐺1 and π‘ž(𝐺1 ) > π‘ž(πΊβˆ— ) by Lemma 1, a contradiction. Then πΊβˆ— = 𝐺1 . By similar reasoning, the result follows. βˆ—

𝐡𝑛++ (2πœ‡)). By similar reasoning as that of Case

1, Case 2 (𝐺 ∈ we have πΊβˆ— is the graph obtained by attaching all the pendant paths of length 2 at the same vertex of 𝐺, where 𝐺 is one of graphs 𝐺21 , . . . , 𝐺24 (see Figure 4).

From Lemma 1, it is easy to prove that 𝐺 =ΜΈ 𝐺22 and all the pendant paths of length 2 are attached at the vertex of degree 3 of 𝐺21 or of degree 4 of 𝐺𝑖 (𝑖 = 23, 24). Thus, πΊβˆ— is isomorphic to one of graphs 𝐺4 , 𝐺5 and 𝐺6 (see Figure 3). So, πΊβˆ— is isomorphic to one of graphs 𝐺1 , . . . , 𝐺6 . From Lemma 15, we know π‘ž(𝐺1 ) > π‘ž(𝐺𝑖 ), (𝑖 = 2, 3, . . . , 6). Thus, πΊβˆ— = 𝐺1 .

Conflict of Interests The authors declare that they have no competing interests.

Authors’ Contribution All authors completed the paper together. All authors read and approved the final paper.

6

Acknowledgments This research is supported by NSFC (nos. 10871204, 61370147, and 61170309) and by Chinese Universities Specialized Research Fund for the Doctoral Program (20110185110020).

References [1] L. Collatz and U. Sinogowitz, β€œSpektren endlicher grafen,” Mathematisches Seminar der UniversitΒ¨at Hamburg, vol. 21, no. 1, pp. 63–77, 1957. [2] A. Chang and F. Tian, β€œOn the spectral radius of unicyclic graphs with perfect matchings,” Linear Algebra and Its Applications, vol. 370, pp. 237–250, 2003. [3] A. Yu and F. Tian, β€œOn the spectral radius of unicyclic graphs,” MATCH Communications in Mathematical and in Computer Chemistry, no. 51, pp. 97–109, 2004. [4] S. G. Guo, β€œFirst six unicyclic graphs of order n with largest spectral radius,” Applied Mathematics Journal of Chinese Universities A, vol. 18, no. 4, pp. 480–486, 2003. [5] J.-M. Guo, β€œOn the spectral radii of unicyclic graphs with fixed matching number,” Discrete Mathematics, vol. 308, no. 24, pp. 6115–6131, 2008. [6] R. A. Brualdi and E. S. Solheid, β€œOn the spectral radius of connected graphs,” Publications de l'Institut MathΒ΄ematique, vol. 39, no. 53, pp. 45–54, 1986. [7] D. CvetkoviΒ΄c and P. Rowlinson, β€œSpectra of unicyclic graphs,” Graphs and Combinatorics, vol. 3, no. 1, pp. 7–23, 1987. [8] Y. Hong, β€œOn the spectra of unicycle graph,” East China Normal University. Natural Science Edition, vol. 1, pp. 31–34, 1986. [9] A. Chang, F. Tian, and A. Yu, β€œOn the index of bicyclic graphs with perfect matchings,” Discrete Mathematics, vol. 283, no. 1–3, pp. 51–59, 2004. [10] D. CvetkoviΒ΄c, P. Rowlinson, and S. K. SimiΒ΄c, β€œSignless Laplacians of finite graphs,” Linear Algebra and Its Applications, vol. 423, no. 1, pp. 155–171, 2007. [11] Y. Hong and X. D. Zhang, β€œSharp upper and lower bounds for largest eigenvalue of the Laplacian matrices of trees,” Discrete Mathematics, vol. 296, no. 2-3, pp. 187–197, 2005. [12] J.-M. Guo, β€œThe Laplacian spectral radius of a graph under perturbation,” Computers and Mathematics with Applications, vol. 54, no. 5, pp. 709–720, 2007. [13] D. CvetkoviΒ΄c, M. Doob, and H. Sachs, Spectra of Graphs, Johann Ambrosius Barth, Heidelberg, Germany, 3rd edition, 1995. [14] B. Zhou and I. Gutman, β€œA connection between ordinary and Laplacian spectra of bipartite graphs,” Linear and Multilinear Algebra, vol. 56, no. 3, pp. 305–310, 2008. [15] D. CvetkoviΒ΄c and S. K. SimiΒ΄c, β€œTowards a spectral theory of graphs based on the signless Laplacian I,” Publications de l’Institut Mathematique, vol. 85, no. 99, pp. 19–33, 2009. [16] A. J. Schwenk and R. J. Wilson, β€œOn the eigenvalues of a graph,” in Selected Topics in Graph Theory, L. W. Beineke and R. J. Wilson, Eds., chapter 2, pp. 307–336, Academic Press, London, UK, 1978. [17] Q. Li and K. Q. Feng, β€œOn the largest eigenvalue of graphs,” Acta Mathematicae Applicatae Sinica, vol. 2, pp. 167–175, 1979 (Chinese). [18] J.-M. Zhang, T.-Z. Huang, and J.-M. Guo, β€œOn the signless Laplacian spectralradius of unicyclic graphs with fixed matching number,” In press.

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On the signless laplacian spectral radius of bicyclic graphs with perfect matchings.

The graph with the largest signless Laplacian spectral radius among all bicyclic graphs with perfect matchings is determined...
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