Hindawi Publishing Corporation ξ e Scientiο¬c 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 πΊ = (π, πΈ) be a simple connected graph with vertex set π = {V1 , V2 , . . . , Vπ } and edge set πΈ. Its adjacency matrix π΄(πΊ) = (πππ ) is defined as π Γ π matrix (πππ ), where πππ = 1 if Vπ is adjacent to Vπ , and πππ = 0, otherwise. Denote by π(Vπ ) or ππΊ(Vπ ) the degree of the vertex Vπ . Let π(πΊ) = π·(πΊ) + π΄(πΊ) be the signless Laplacian matrix of graph πΊ, where π·(πΊ) = diag(π(V1 ), π(V2 ), . . . , π(Vπ )) denotes the diagonal matrix of vertex degrees of πΊ. It is well known that π΄(πΊ) is a real symmetric matrix and π(πΊ) is a positive semidefinite matrix. The largest eigenvalues of π΄(πΊ) and π(πΊ) are called the spectral radius and the signless Laplacian spectral radius of πΊ, denoted by π(πΊ) and π(πΊ), respectively. When πΊ is connected, π΄(πΊ) and π(πΊ) are a nonnegative irreducible matrix. By the well-known Perron-Frobenius theory, π(πΊ) is simple and has a unique positive unit eigenvector and so does π(πΊ). We refer to such an eigenvector corresponding to π(πΊ) as the Perron vector of πΊ. Two distinct edges in a graph πΊ are independent if they are not adjacent in πΊ. A set of mutually independent edges of πΊ is called a matching of πΊ. A matching of maximum cardinality is a maximum matching in πΊ. A matching π that satisfies 2|π| = π = |π(πΊ)| is called a perfect matching of the graph πΊ. Denote by πΆπ and ππ the cycle and the path on π vertices, respectively.
The characteristic polynomial of π΄(πΊ) is det(π₯πΌ β π΄(πΊ)), which is denoted by Ξ¦(πΊ) or Ξ¦(πΊ, π₯). The characteristic polynomial of π(πΊ) is det(π₯πΌ β π(πΊ)), which is denoted by Ξ¨(πΊ) or Ξ¨(πΊ, π₯). A bicyclic graph is a connected graph in which the number of vertices equals the number of edges minus one. Let πΆπ and πΆπ be two vertex-disjoint cycles. Suppose that V1 is a vertex of πΆπ and Vπ is a vertex of πΆπ . Joining V1 and Vπ by a path V1 V2 β
β
β
Vπ of length π β 1, where π β₯ 1 and π = 1 means identifying V1 with Vπ , denoted by π΅(π, π, π), is called an β-graph (see Figure 1). Let ππ+1 , ππ+1 , and ππ+1 be the three vertex-disjoint paths, where π, π, π 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 π(π, π, π), is called a π-graph (see Figure 2). Let π΅π (2π) be the set of all bicyclic graphs on π = 2π (π β₯ 2) vertices with perfect matchings. Obviously π΅π (2π) consists of two types of graphs: one type, denoted by π΅π+ (2π), is a set of graphs each of which is an β-graph with trees attached; the other type, denoted by π΅π++ (2π), is a set of graphs each of which is π- graph with trees attached. Then we have π΅π (2π) = π΅π+ (2π) βͺ π΅π++ (2π). 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
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Cp
1
Cq
Cp
1
Β·Β·Β·
lβ1 l
Cq
B(p, l, q) (l β₯ 2)
B(p, 1, q)
Figure 1: π΅(π, 1, π) and π΅(π, π, π) (π β₯ 2). Pl+1 Β·Β·Β· Pp+1 Β·Β·Β· Β·Β·Β· Pq+1
Figure 2: π(π, π, π).
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 [6β9] 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 πΊ β π’ or πΊ β π’V denote the graph obtained from πΊ by deleting the vertex π’ β π(πΊ) or the edge π’V β πΈ(πΊ). A pendant vertex of πΊ is a vertex with degree 1. A path π : VV1 V2 β
β
β
Vπ in πΊ is called a pendant path if π(V1 ) = π(V2 ) = β
β
β
= π(Vπβ1 ) = 2 and π(Vπ ) = 1. If π = 1, then we say VV1 is a pendant edge of the graph πΊ. In order to complete the proof of our main result, we need the following lemmas. Lemma 1 (see [10, 11]). Let πΊ be a connected graph and π’, V two vertices of πΊ. Suppose that V1 , V2 , . . . , Vπ β π(V) \ {π(π’) βͺ π’} (1 β€ π β€ π(V)) and π₯ = (π₯1 , π₯2 , . . . , π₯π ) is the Perron vector of πΊ, where π₯π corresponds to the vertex Vπ (1 β€ π β€ π). Let πΊβ be the graph obtained from πΊ by deleting the edges VVπ and adding the edges π’Vπ (1 β€ π β€ π ). If π₯π’ β₯ π₯V , then π(πΊ) < π(πΊβ ). The cardinality of a maximum matching of πΊ is commonly known as its matching number, denoted by π(πΊ). From Lemma 1, we have the following results. Corollary 2. Let π€ and V be two vertices in a connected graph πΊ and suppose that π paths {π€π€1 π€1σΈ , π€π€2 π€2σΈ , . . . , π€π€π π€π σΈ } of
length 2 are attached to πΊ at π€ and π‘ paths {VV1 V1σΈ , VV2 V2σΈ , . . . , VVπ‘ Vπ‘σΈ } of length 2 are attached to πΊ at V to form πΊπ ,π‘ . Then either π(πΊπ +π,π‘βπ ) > π(πΊπ ,π‘ ) (1 β€ π β€ π‘) or π(πΊπ βπ,π‘+π ) > π(πΊπ ,π‘ ) (1 β€ π β€ π )or π(πΊ0,π +π‘ ) = π(πΊπ +π‘,0 ) = π(πΊπ ,π‘ ). Corollary 3. Suppose π’ is a vertex of graph πΊ with π(π’) β₯ 2. Let πΊ : π’V be a graph obtained by attaching a pendant edge π’V to πΊ at π’. Suppose π‘ paths {VV1 V1σΈ , . . . , VVπ‘ Vπ‘σΈ } of length 2 are attached to πΊ : π’V at V to form πΏ 0,π‘ . Let π1,π‘ = πΏ 0,π‘ β VV1 β β
β
β
β VVπ‘ + π’V1 + β
β
β
+ π’Vπ‘ .
(1)
If πΏ 0,π‘ has a perfect matching, then we have that π1,π‘ has a perfect matching and π (π1,π‘ ) > π (πΏ 0,π‘ ) ,
(π‘ β₯ 1) .
(2)
An internal path of a graph πΊ is a sequence of vertices V1 , V2 , . . . , Vπ with π β₯ 2 such that (1) the vertices in the sequences are distinct (except possibly V1 = Vπ ); (2) Vπ is adjacent to Vπ+1 , (π = 1, 2, . . . , π β 1); (3) the vertex degrees π(Vπ ) satisfy π(V1 ) β₯ 3, π(V2 ) = β
β
β
= π(Vπβ1 ) = 2 (unless π = 2) and π(Vπ ) β₯ 3. Let πΊ be a connected graph, and π’V β πΈ(πΊ). The graph πΊπ’V is obtained from πΊ by subdividing the edge π’V, that is, adding a new vertex π€ and edges π’π€, π€V in πΊ β π’V. By similar reasoning as that of Theorem 3.1 of [12], we have the following result. Lemma 4. Let π : V1 V2 β
β
β
Vπ (π β₯ 2) be an internal path of a connected graph πΊ. Let πΊσΈ be a graph obtained from πΊ by subdividing some edge of π. Then we have π(πΊσΈ ) < π(πΊ). Corollary 5. Suppose that V1 V2 β
β
β
Vπ (π β₯ 3) is an internal path of the graph πΊ and V1 Vπ β πΈ(πΊ) for π = 3. Let πΊβ be the graph obtained from πΊ β Vπ Vπ+1 β Vπ+1 Vπ+2 (1 β€ π β€ π β 2) by amalgamating Vπ , Vπ+1 , and Vπ+2 to form a new vertex π€1 together with attaching a new pendant path π€1 π€2 π€3 of length 2 at π€1 . Then π(πΊβ ) > π(πΊ) and π(πΊβ ) β₯ π(πΊ). Proof. From Lemma 4 and the well-known Perron-Frobenius theorem, It is easy to prove that π(πΊβ ) > π(πΊ). Next, we prove that π(πΊβ ) β₯ π(πΊ). Let π be a maximum matching of πΊ. If Vπ Vπ+1 β π or Vπ+1 Vπ+2 β π, then {π β {Vπ Vπ+1 }} βͺ {π€2 π€3 } or {π β {Vπ+1 Vπ+2 }} βͺ {π€2 π€3 } is a matching of πΊβ . Thus, π(πΊβ ) β₯ π(πΊ); If Vπ Vπ+1 β π and Vπ+1 Vπ+2 β π, then there exist two edges Vπ π’ and Vπ+2 V β π. Thus, {π β {Vπ π’}} βͺ {π€2 π€3 } is a matching of πΊβ . Hence, π(πΊβ ) β₯ π(πΊ), completing the proof. Let π(πΊ) be the subdivision graph of πΊ obtained by subdividing every edge of πΊ. Lemma 6 (see [13, 14]). Let πΊ be a graph on π vertices and π edges, Ξ¦(πΊ) = det(π₯πΌ β π΄(πΊ)), Ξ¨(πΊ) = det(π₯πΌ β π(πΊ)). Then Ξ¦(π(πΊ)) = π₯πβπ Ξ¨(πΊ, π₯2 ).
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Lemma 7 (see [15]). Let π’ be a vertex of a connected graph πΊ. Let πΊπ,π (π, π β₯ 0) be the graph obtained from πΊ by attaching two pendant paths of lengths π and π at π’, respectively. If π β₯ π β₯ 1, then π(πΊπ,π ) > π(πΊπ+1,πβ1 ). Corollary 8. Suppose that V1 V2 β
β
β
Vπ (π β₯ 3) is a pendant path of the graph πΊ with π(V1 ) β₯ 3. Let πΊβ be the graph obtained from πΊ β V1 V2 β V2 V3 by amalgamating V1 , V2 , and V3 to form a new vertex π€1 together with attaching a new pendant path π€1 π€2 π€3 of length 2 at π€1 . Then π(πΊβ ) > π(πΊ) and π(πΊβ ) β₯ π(πΊ). β
Proof. By Lemma 7 we have π(πΊ ) > π(πΊ). By the proof as that of Corollary 5, we have π(πΊβ ) β₯ π(πΊ). Lemma 9 (see [16]). Let π = π’V be an edge of πΊ, and let πΆ(π) be the set of all circuits containing π. Then Ξ¦(πΊ) satisfies Ξ¦ (πΊ) = Ξ¦ (πΊ β π) β Ξ¦ (πΊ β π’ β V) β 2βΞ¦ (πΊ β π (π)) , π
(3)
(1) π(π0,π‘+1 ) > π(πΏ 1,π‘ ), (π‘ β₯ 1); (2) π(πΏ 1,π‘ ) β€ π(π0,π‘+1 ).
3. Main Results Lemma 15. Let πΊ1 , πΊ2 , . . . , πΊ6 be the graphs as Figure 3. Then for π β₯ 3, we have π(πΊ1 ) > π(πΊπ ), (π = 2, 3, . . . , 6). Proof. From Lemma 10, we have Ξ¦ (π (πΊ1 )) = π₯ (π₯2 β 1) (π₯4 β 3π₯2 + 1)
πβ3
(π₯5 β 4π₯3 + 3π₯)
2
β (π β 3) (π₯2 β 1) (π₯3 β 2π₯)
where the summation extends over all π β πΆ(π). Lemma 10 (see [16]). Let V be a vertex of πΊ, and let π(V) be the collection of circuits containing V, and let π(π) denote the set of vertices in the circuit π. Then the characteristic polynomial Ξ¦(πΊ) satisfies Ξ¦ (πΊ) = π₯Ξ¦ (πΊ β V) β βΞ¦ (πΊ β V β π€) π€
β 2 β Ξ¦ (πΊ β π (π)) ,
Lemma 14 (see [18]). Suppose π’ is a vertex of the bicyclic graph πΊ with ππΊ(π’) β₯ 2. Let πΊ : π’V be a graph obtained by attaching a pendant edge π’V to πΊ at π’. Suppose that a pendant edge Vπ€1 and π‘ paths {VV1 V1σΈ , . . . , VVπ‘ Vπ‘σΈ } of length 2 are attached to πΊ : π’V at V to form πΏ 1,π‘ . Let π0,π‘+1 = πΏ 1,π‘ βVV1 ββ
β
β
βVVπ‘ +π’V1 +β
β
β
+π’Vπ‘ . Then we have
(4)
πβπ(V)
Γ (π₯4 β 3π₯2 + 1)
πβ4
πβ3
β π₯(π₯4 β 3π₯2 + 1)
2
(π₯5 β 4π₯3 + 3π₯)
2
(π₯5 β 4π₯3 + 3π₯)
β 4 (π₯2 β 1) (π₯4 β 3π₯2 + 1)
πβ3
Γ (π₯5 β 4π₯3 + 3π₯) (π₯4 β 3π₯2 + 2) Ξ¦ (π (πΊ2 )) = π₯ (π₯2 β 1) (π₯4 β 3π₯2 + 1)
πβ4
(π₯5 β 4π₯3 + 3π₯)
where the first summation extends over those vertices π€ adjacent to V, and the second summation extends over all π β π(V).
Γ (π₯9 β 8π₯7 + 19π₯5 β 14π₯3 + 3π₯)
Lemma 11 (see [17]). Let πΊ be a connected graph, and let πΊσΈ be a proper spanning subgraph of πΊ. Then π(πΊ) > π(πΊσΈ ), and, for π₯ β₯ π(πΊ), Ξ¦(πΊσΈ ) > Ξ¦(πΊ).
Γ (π₯5 β 4π₯3 + 3π₯) (π₯9 β 8π₯7 +19π₯5 β14π₯3 + 3π₯)
Let Ξ(πΊ) denote the maximum degree of πΊ. From Lemma 11, we have π(πΊ) β₯ βΞ(πΊ).
Γ (π₯9 β 8π₯7 + 19π₯5 β 14π₯3 + 3π₯) β 2 (π₯2 β 1)
Lemma 12 (see [13]). Let πΊ be a connected graph, and let πΊσΈ be a proper spanning subgraph of πΊ. Then π(πΊ) > π(πΊσΈ ).
Γ (π₯4 β 3π₯2 + 1)
Lemma 13 (see [18]). Let πΊ = (π, πΈ) be a connected graph with vertex set π = {V1 , V2 , . . . , Vπ }. Suppose that V1 V2 β πΈ(πΊ), V1 V3 β πΈ(πΊ), V1 V4 β πΈ(πΊ), π(V3 ) β₯ 2, π(V4 ) β₯ 2, π(V1 ) = 3, and π(V2 ) = 1. Let πΊV1 V3 (πΊV1 V4 ) be the graph obtained from πΊ β V1 V3 (πΊ β V1 V4 ) by amalgamating V1 and V3 (V4 ) to form a new vertex π€1 (π€3 ) together with subdivising the edge π€1 V2 (π€3 V2 ) with a new vertex π€2 (π€4 ). If π = π(πΊ) > 3 + β5 β 5.23606, then (1) either π(πΊV1 V3 ) > π(πΊ) or π(πΊV1 V4 ) > π(πΊ); (2) π(πΊV1 V3 ) β₯ π(πΊ) and π(πΊV1 V4 ) β₯ π(πΊ).
πβ5
β (π β 4) (π₯2 β 1) (π₯3 β 2π₯) (π₯4 β 3π₯2 + 1)
πβ4
β π₯(π₯4 β 3π₯2 + 1)
(π₯5 β 4π₯3 + 3π₯)
πβ3
Γ (π₯9 β 8π₯7 + 19π₯5 β 14π₯3 + 3π₯) β 2 (π₯2 β 1) (π₯4 β 3π₯2 + 1)
πβ4
(π₯5 β 4π₯3 + 3π₯)
Γ (π₯8 β 7π₯6 + 14π₯4 β 8π₯2 + 1) β 2 (π₯2 β 1) Γ (π₯4 β 3π₯2 + 1)
πβ4
Γ (π₯9 β 8π₯7 + 19π₯5 β 14π₯3 + 3π₯) 3
β 2(π₯2 β 1) (π₯4 β 3π₯2 + 1)
πβ4
(π₯5 β 4π₯3 + 3π₯). (5)
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From (5), we have
From Corollary 2, we have all the pendant paths of length 2 in πΊβ which must be attached at the same vertex of π». In the following, we prove that πΊβ is isomorphic to one of graphs πΊ1 , πΊ2 , . . . , πΊ6 (see Figure 3). We distinguish the following two cases:
Ξ¦ (π (πΊ2 )) β Ξ¦ (π (πΊ1 )) = π₯3 (π₯4 β 3π₯2 + 1)
πβ5
Γ [(β2 + π) π₯14 + (22 β 10π) π₯12 + (β97 + 39π) π₯10
(6)
+ (221 β 75π) π₯8 + (β278 + 74π) π₯6 + (189 β 35π) π₯4 + (β63 + 6π) π₯2 + 8] . If π β₯ 12, for π₯ β₯ π(π(πΊ1 )) β₯ βΞπ(πΊ1 ) = βπ + 2, it is easy to prove that Ξ¦(π(πΊ2 )) β Ξ¦(π(πΊ1 )) > 0. Hence, π(π(πΊ1 )) > π(π(πΊ2 )) for π β₯ 12. When π = 4, 5, . . . , 11, by direct calculation, we also get π(π(πΊ1 )) > π(π(πΊ2 )), respectively. So, π(π(πΊ1 )) > π(π(πΊ2 )) for π β₯ 4. By Lemma 6, we know that π(π(πΊ)) = βπ(πΊ). Hence, π(πΊ1 ) > π(πΊ2 ) (π β₯ 4). By similar method, the result is as follows. Theorem 16. If πΊ β π΅π (2π) (π β₯ 6), then π(πΊ) β€ π(πΊ1 ), with equality if and only if πΊ = πΊ1 . Proof. Let π = (π₯1 , π₯2 , . . . , π₯π )π be the Perron vector of πΊ. From Lemma 12 and by direct calculations, we have, for π β₯ 3, π(πΊ1 ) > π(π΅(3, 1, 3)) β 5.5615 > 3 + β5. So, in the following, we only consider those graphs, which have signless Laplacian spectral radius greater than π(πΊ) > 3 + β5. Choose πΊβ β π΅π (2π) such that π(πΊβ ) is as large as possible. Then πΊβ consists of a subgraph π» which is one of graphs π΅(π, 1, π), π΅(π, π, π), and π(π, π, π) (see Figures 1 and 2). Let π be a tree attached at some vertex, say, π§, of π»; |π(π)| is the number of vertices of π including the vertex π§. In the following, we prove that tree π is formed by attaching at most one path of length 1 and other paths of length 2 at π§. Suppose π : V0 V1 β
β
β
Vπ is a pendant path of πΊβ and Vπ is a pendant vertex. If π β₯ 3, let π»1 = πΊβ β V2 V3 + V0 V3 . From Corollary 8, we have π»1 β π΅π (2π) and π(π»1 ) > π(πΊβ ), which is a contradiction. For each vertex π’ β π(π β π§), we prove that π(π’) β€ 2. Otherwise, there must exist some vertex π’0 of π β π§ such that π(π§, π’0 ) = max{π(π§, V) | V β π(π) β π§, π(V) β₯ 3}. From the above proof, we have the pendant paths attached π’0 which have length of at most 2. Obviously, there exists an internal path between π’0 and some vertex π€ of πΊβ , denoted by π : π’0 π€1 β
β
β
π€π (π€π = π€). If π β₯ 2, let π»2 be the graph obtained from πΊβ β π’0 π€1 β π€1 π€2 by amalgamating π’0 , π€1 , and π€2 to form a new vertex π 1 together with attaching a new pendant path π 1 π 2 π 3 of length 2 at π 1 . From Corollary 5, we have π»2 β π΅π (2π) and π(π»2 ) > π(πΊβ ), which is a contradiction. If π = 1, by Lemma 14 and Corollary 3, we can get a new graph π»3 such that π»3 β π΅π (2π) and π(π»3 ) > π(πΊβ ), which is a contradiction. From the proof as above, we have the tree π which is obtained by attaching some pendant paths of length 2 and at most one pendant path of length 1 at π§.
Case 1 (πΊβ β π΅π+ (2π)). We prove that πΊβ is isomorphic to one of graphs πΊ1 , πΊ2 , and πΊ3 . Assume that there exists some cycle πΆπ of πΊβ with length of at least 4. From Corollary 5, we have each internal path of πΊβ , which is not a triangle, has length 1. Note that all the pendant paths of length 2 in πΊβ must be attached at the same vertex, then there must exist edges V1 V2 β πΈ(πΊβ ), V1 V3 β πΈ(πΆπ ), and V1 V4 β πΈ(πΆπ ) and π(V1 ) = 3, π(V2 ) = 1, π(V3 ) β₯ 3, and π(V4 ) β₯ 3. Let π»4 (π»5 ) be the graph obtained from πΊβ β V1 V3 (πΊβ β V1 V4 ) by amalgamating V1 and V3 (V4 ) to form a new vertex π¦1 (π¦3 ) together with subdividing the edge π¦1 V2 (π¦3 V2 ) with a new vertex π¦2 (π¦4 ). From Lemma 13, we have π»π β π΅π+ (2π) (π = 4, 5) and either π(π»4 ) > π(πΊβ ) or π(π»5 ) > π(πΊβ ), which is a contradiction. Then for each cycle πΆπ of πΊβ , we have π = 3. β
Assume that π β₯ 4. If there exists an internal path π : Vπ Vπ+1 β
β
β
Vπ (1 β€ π < π β€ π) with length greater than 1 in πΊβ . Then, by Corollary 5, we can get a new graph π»6 such that π(π»6 ) > π(πΊβ ) and π»6 β π΅π+ (2π), which is a contradiction. Thus, π(Vπ ) β₯ 3 (π = 1, 2, . . . , π) and either π(V2 ) = 3 or π(V3 ) = 3. By Lemma 13, we can also get a new graph π»7 such that π(π»7 ) > π(πΊβ ) and π»7 β π΅π+ (2π), which is a contradiction. Hence, π β€ 3. We distinguish the following three subcases: Subcase 1.1 (π = 1). Then πΊβ is the graph obtained by attaching all the pendant paths of length 2 at the same vertex of πΊ, where πΊ is one of graphs πΊ1 , . . . , πΊ5 (see Figure 4). Assume that πΊ = πΊ2 . If π₯π’ β₯ π₯V , let π»8 = πΊβ β πV β π V + ππ’ + π π’; if π₯V β₯ π₯π’ , let π»9 = πΊβ β π’π‘ + π‘V. Obviously, π»π β π΅π+ (2π) (π = 8, 9) and either π(π»8 ) > π(πΊβ ) or π(π»9 ) > π(πΊβ ) by Lemma 1, which is a contradiction. By similar reasoning, we have also πΊ =ΜΈ πΊ3 . Subcase 1.2 (π = 2). Then πΊβ is the graph obtained by attaching all the pendant paths of length 2 at the same vertex of πΊ, where πΊ is one of graphs πΊ6 , . . . , πΊ14 (see Figure 4). Assume that πΊ = πΊ6 . If π₯V1 β₯ π₯V2 , let π»10 = πΊβ β V2 π’ + V1 π’; if π₯V2 β₯ π₯V1 , let π»11 = πΊβ β V1 π + V2 π. Obviously, π»π β π΅π+ (2π) (π = 10, 11) and either π(π»10 ) > π(πΊβ ) or π(π»11 ) > π(πΊβ ) by Lemma 1, which is a contradiction. By similar reasoning, we have also πΊ =ΜΈ πΊπ (π = 6, . . . , 14). Subcase 1.3 (π = 3). Then πΊβ is the graph obtained by attaching all the pendant paths of length 2 at the same vertex of πΊ, where πΊ is one of graphs πΊ15 , . . . , πΊ20 (see Figure 4).
Assume that πΊ = πΊ15 . If π₯V1 β₯ π₯V2 , let π»12 = πΊβ β V2 V3 + V1 V3 ; if π₯V2 β₯ π₯V1 , let π»13 = πΊβ β V1 π§1 + V2 π§1 . Obviously, π»π β π΅π+ (2π) (π = 12, 13) and either π(π»12 ) > π(πΊβ ) or π(π»13 ) >
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5 πβ4 Β·Β·Β·
πβ3 Β·Β·Β·
πβ5 Β·Β·Β·
G2
G1
.. .π β 2
G3
.. .π β 4
.. .πβ3
G4
G5
G6
Figure 3: πΊ1 βπΊ6 . 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: πΊ1 βπΊ24 .
π(πΊβ ) by Lemma 1, a contradiction. By similar reasoning, we have also πΊ =ΜΈ πΊπ (π = 15, . . . , 20). Thus, πΊ is isomorphic to one of the graphs πΊ1 , πΊ4 and πΊ5 . In the following, we prove that πΊβ is isomorphic to one of graphs πΊ1 , πΊ2 and πΊ3 . Assume that πΊβ is obtained by attaching all the pendant paths of length 2 at vertex π¦4 of πΊ1 . If π₯V1 β₯ π₯π¦4 , let π»14 be the graph obtained from πΊ1 by attaching π β 3 pendant paths of length 2 at V1 . If π₯π¦4 β₯ π₯V1 , let π»15 = πΊβ β V1 π¦3 β V1 π¦1 β V1 π¦2 + π¦4 π¦3 + π¦4 π¦1 + π¦4 π¦2 . Obviously, π»14 = π»15 = πΊ1 and π(πΊ1 ) > π(πΊβ ) by Lemma 1, a contradiction. Then πΊβ = πΊ1 . By similar reasoning, the result follows. β
π΅π++ (2π)). By similar reasoning as that of Case
1, Case 2 (πΊ β we have πΊβ is the graph obtained by attaching all the pendant paths of length 2 at the same vertex of πΊ, where πΊ is one of graphs πΊ21 , . . . , πΊ24 (see Figure 4).
From Lemma 1, it is easy to prove that πΊ =ΜΈ πΊ22 and all the pendant paths of length 2 are attached at the vertex of degree 3 of πΊ21 or of degree 4 of πΊπ (π = 23, 24). Thus, πΊβ is isomorphic to one of graphs πΊ4 , πΊ5 and πΊ6 (see Figure 3). So, πΊβ is isomorphic to one of graphs πΊ1 , . . . , πΊ6 . From Lemma 15, we know π(πΊ1 ) > π(πΊπ ), (π = 2, 3, . . . , 6). Thus, πΊβ = πΊ1 .
Conflict of Interests The authors declare that they have no competing interests.
Authorsβ 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, βSpektren endlicher grafen,β Mathematisches Seminar der UniversitΒ¨at Hamburg, vol. 21, no. 1, pp. 63β77, 1957. [2] A. Chang and F. Tian, βOn the spectral radius of unicyclic graphs with perfect matchings,β Linear Algebra and Its Applications, vol. 370, pp. 237β250, 2003. [3] A. Yu and F. Tian, βOn the spectral radius of unicyclic graphs,β MATCH Communications in Mathematical and in Computer Chemistry, no. 51, pp. 97β109, 2004. [4] S. G. Guo, βFirst six unicyclic graphs of order n with largest spectral radius,β Applied Mathematics Journal of Chinese Universities A, vol. 18, no. 4, pp. 480β486, 2003. [5] J.-M. Guo, βOn the spectral radii of unicyclic graphs with fixed matching number,β Discrete Mathematics, vol. 308, no. 24, pp. 6115β6131, 2008. [6] R. A. Brualdi and E. S. Solheid, βOn the spectral radius of connected graphs,β Publications de l'Institut MathΒ΄ematique, vol. 39, no. 53, pp. 45β54, 1986. [7] D. CvetkoviΒ΄c and P. Rowlinson, βSpectra of unicyclic graphs,β Graphs and Combinatorics, vol. 3, no. 1, pp. 7β23, 1987. [8] Y. Hong, βOn the spectra of unicycle graph,β East China Normal University. Natural Science Edition, vol. 1, pp. 31β34, 1986. [9] A. Chang, F. Tian, and A. Yu, βOn the index of bicyclic graphs with perfect matchings,β Discrete Mathematics, vol. 283, no. 1β3, pp. 51β59, 2004. [10] D. CvetkoviΒ΄c, P. Rowlinson, and S. K. SimiΒ΄c, βSignless Laplacians of finite graphs,β Linear Algebra and Its Applications, vol. 423, no. 1, pp. 155β171, 2007. [11] Y. Hong and X. D. Zhang, βSharp upper and lower bounds for largest eigenvalue of the Laplacian matrices of trees,β Discrete Mathematics, vol. 296, no. 2-3, pp. 187β197, 2005. [12] J.-M. Guo, βThe Laplacian spectral radius of a graph under perturbation,β Computers and Mathematics with Applications, vol. 54, no. 5, pp. 709β720, 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, βA connection between ordinary and Laplacian spectra of bipartite graphs,β Linear and Multilinear Algebra, vol. 56, no. 3, pp. 305β310, 2008. [15] D. CvetkoviΒ΄c and S. K. SimiΒ΄c, βTowards a spectral theory of graphs based on the signless Laplacian I,β Publications de lβInstitut Mathematique, vol. 85, no. 99, pp. 19β33, 2009. [16] A. J. Schwenk and R. J. Wilson, βOn the eigenvalues of a graph,β in Selected Topics in Graph Theory, L. W. Beineke and R. J. Wilson, Eds., chapter 2, pp. 307β336, Academic Press, London, UK, 1978. [17] Q. Li and K. Q. Feng, βOn the largest eigenvalue of graphs,β Acta Mathematicae Applicatae Sinica, vol. 2, pp. 167β175, 1979 (Chinese). [18] J.-M. Zhang, T.-Z. Huang, and J.-M. Guo, βOn the signless Laplacian spectralradius of unicyclic graphs with fixed matching number,β In press.
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