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On minimum algebraic connectivity of graphs whose complements are bicyclic

  • Jia-Bao Liu , Muhammad Javaid EMAIL logo , Mohsin Raza and Naeem Saleem
Published/Copyright: December 10, 2019

Abstract

The second smallest eigenvalue of the Laplacian matrix of a graph (network) is called its algebraic connectivity which is used to diagnose Alzheimer’s disease, distinguish the group differences, measure the robustness, construct multiplex model, synchronize the stability, analyze the diffusion processes and find the connectivity of the graphs (networks). A connected graph containing two or three cycles is called a bicyclic graph if its number of edges is equal to its number of vertices plus one. In this paper, firstly the unique graph with a minimum algebraic connectivity is characterized in the class of connected graphs whose complements are bicyclic with exactly three cycles. Then, we find the unique graph of minimum algebraic connectivity in the class of connected graphs Ωnc=Ω1,ncΩ2,nc, where Ω1,nc and Ω2,nc are classes of the connected graphs in which the complement of each graph of order n is a bicyclic graph with exactly two and three cycles, respectively.

MSC 2010: 15A18; 05C50; 05C40; 05D05

1 Introduction

Let G = (V(G), E(G)) be a graph having V(G) = {vi : 1 ≤ in} and E(G) as the sets of vertices and edges. The graph Gc is complement of G with same vertex-set and edge-set E(Gc) = {uv : u, vV(G), uvE(G)}. The number of first neighbors of vV(G) is called its degree denoted by d(v). The adjacency matrix (A-matrix) of G is A(G) = [ai,j]n×n such that ai,j = 1 if vi is adjacent to vj and ai,j = 0 otherwise. By D(G) = [ai,j]n×n, we denote the degree matrix such that ai,i = d(vi) and zero otherwise. The Laplacian matrix (L-matrix) of the graph G is

L(G)=D(G)A(G).

For 1 ≤ in, eigenvalues μi = μi(G) and eigenvectors Zi = Zi(G) of L-matrix (L(G)) are the L-eigenvalues and the L-eigenvectors of G. For n-dimensional column-vectors Zi ≠ 0, we have L(G)Zi = μiZi. Since L(G) is real and symmetric therefore we have μ1μ2 ≥ … ≥ μn−1μn, where μn = 0 is a minimum L-eigenvalue and μn−1(G) = a(G) is algebraic connectivity of G that remains positive if and only if G is connected. Moreover, eigenvectors corresponding to a(G) are called Fiedler vectors. For further study, we refer to [1, 2, 3, 4, 5, 6, 7].

The algebraic connectivity plays an important role in studies of communication and control theory to increase efficiency in air transportation system [8], measure connectivity, convergence speed & synchronization ability of the networks [9, 10, 11] generate or absorb the bipartition among the links [12] and construct multiplex model for the inter connected networks [13]. It is also used in brain networks to study the group differences and complex changes in Alzheimer’s disease, see [14].

A connected graph is called k-cyclic if m = n – 1 + k, where n denotes the number of vertices, m the number of edges and k non-negative integers. In particular, if k = 0, 1, 2 or 3, then G is called a tree, unicyclic, bicyclic or tricyclic graph, respectively. Let H(n, 2) be a bicyclic graph with two cycles which is obtained from the star K1,n−1 by the addition of two edges such that each edge joins two different pendant vertices. Similarly, H(n, 2) is a bicyclic graph with three cycles obtained from the star K1,n−1 by the addition of two edges in the pendant vertices such that both edges have one common end point. Let Ω1,n and Ω2,n be two classes of the bicyclic graphs with n vertices having exactly two and three cycles other than H(n, 2) and H(n, 2) respectively. Moreover, assume that Ω1,nc and Ω2,nc be the classes of the graphs whose complements are bicyclic with exactly two and three cycles respectively i.e Ω1nc = {Gc : |Gc| = n and GΩ1,n} and Ω2,nc = {Gc : |Gc| = n and GΩ2,n}. The condition to exclude H(n, 2) and H(n, 2) from Ω1,n and Ω2,n respectively ensures that Ω1,nc and Ω2,nc are families of the connected graphs.

Many authors studied the algebraic connectivity for different families of graphs such as connected graphs with certain girth, lollipop graphs and caterpillar unicyclic graphs, see [15, 16, 17]. Moreover, the operation of complement in graphs has important role, especially when structures of the simple graphs become more complex than their complements. Recently, Jiang et al. [18], Li et al. [19] and Javaid et al. [20, 21] found the graphs with minimum algebraic connectivity among all the connected graphs whose complements are trees, unicyclic, and bicyclic with exactly two cycles. In this paper, firstly we characterize the unique graph with minimum algebraic connectivity in the class of connected graphs whose complements are bicyclic with three cycles. Then, we find the unique graph with minimum algebraic connectivity in the complete class of connected graphs whose complements are bicyclic with two or three cycles.

The rest of the paper is managed as; In Section 2, some basic definitions and results are given. Section 3 and Section 4 cover the main results. Section 5 includes the conclusion and some new directions of the problem.

2 Preliminaries

For any vector ZRn, define a one-one map μ : V(G) → Z such that μ(u) = Zu, where Zu is entry of Z corresponding to uV(G). Then, for Z0, we have

ZTL(G)Z=uvE(G)(μ(u)μ(v))2=uvE(G)(ZuZv)2. (1)

Moreover, if λ is a L-eigenvalue of G corresponding to Z0 then Laplacian eigenvalue equation (LE-equation) is

(dG(v)λ)Zv=uNG(v)Zuafor each vertexavV(G), (2)

where NG(v) is set of neighbors of vV(G).

Assume that ZRn is a unit vector and perpendicular to all-ones vector, then by Courant-Fisher theorem [3], we have

a(G)ZTL(G)Z, (3)

where a(G) achieves the upper bound if Z is a Fiedler vector. If J is all-ones matrix, I is identity matrix and L(Gc) is L-matrix of the complement of G, then for any vector ZRn

ZTL(Gc)Z=ZT(nIJ)ZZTL(G)Z. (4)

Suppose that C4, C5 and C6 are cycles of length 4, 5 and 6 respectively. Now, some graphs are defined which are used in the main results.

Let H1 and H2 be two bicyclic graphs with exactly three cycles which are obtained by joining any single non adjacent pair of vertices with an edge in C4 and C5, respectively. The bicyclic graphs with exactly three cycles H3 is obtained from C6 by joining a pair of vertices with an edge such that H3 consists on an outer cycle of length 6 and two inner cycles both of lengths 4. If we insert a vertex in an edge which is incident on two vertices of degree 3 in H1, then we obtain a bicyclic graph with three cycles H4 such that its all the cycles (one outer and two inner) are of lengths 4.

Let G1(m1, m2) be obtained by attaching m1 and m2 pendant vertices with two adjacent vertices of degree 3 and 2 in H1 respectively and G2(m1, m2) is obtained by attaching m1 and m2 pendant vertices with both the vertices of degree 3 in H1. If we identify H1 by a vertex of degree 2 with an edge of length one and attach m2 and m1 pendant vertices with a pendant vertex and a vertex adjacent to it respectively, then we obtain G3(m1, m2). Similarly, G4(m1, m2) is obtained when we identify H1 by a vertex of degree 3 with an edge of length one and attach m2 and m1 pendant vertices with a pendant vertex and a vertex adjacent to it, respectively (see Figure 1).

Figure 1 
Bicycle graphs with three cycles G1(m1, m2), G2(m1, m2), G3(m1, m2), G4(m1, m2). and G5(m1, m2).
Figure 1

Bicycle graphs with three cycles G1(m1, m2), G2(m1, m2), G3(m1, m2), G4(m1, m2). and G5(m1, m2).

By attaching m1 and m2 pendant vertices with two adjacent vertices of degrees 2 in H2, G6(m1, m2) is obtained and if we attach m1 and m2 pendant vertices with vertices of degree 3 in H2, we obtain G8(m1, m2). The graph G9(m1, m2) is obtained by joining m1 and m2 pendant vertices with vertices of degree 3 in H3. Finally, we obtain G7(m1, m2) from H4 by attaching m1 and m2 pendant vertices with two adjacent vertices of degree 2 and 3 in H4 such both are on the outer cycle of H4 (see Figure 2).

Figure 2 
Bicycle graphs with three cycles G6(m1, m2), G7(m1, m2), G8(m1, m2), and G9(m1, m2).
Figure 2

Bicycle graphs with three cycles G6(m1, m2), G7(m1, m2), G8(m1, m2), and G9(m1, m2).

Moreover, G1 (m1, m2) is a bicyclic graph with exactly two cycles which is obtained by attaching m2 pendant vertices with a vertex of degree 2 of the graph H(m1 + 5, 2) (see Figure 3). Now, we state some results which are frequently used in main results.

Figure 3 
Bicycle graphs with two cycles 
G1′
$\begin{array}{}
G^{'}_1
\end{array}$(m1, m2).
Figure 3

Bicycle graphs with two cycles G1 (m1, m2).

Lemma 2.1

[3] Let G be a simple graph. Then a(G) ≤ δ(G), where δ(G) = min{dG(v), vV(G)}.

Lemma 2.2

[18] If Zi for 1 ≤ in is a non-increasing sequence, then, for any 1 ≤ i, jn, (ZiZj)2max{(ZiZ1)2, (ZiZn)2} ≤ (Z1Zn)2.

Theorem 2.3

[21] Let n, m1 and m2 be any positive integers such that m1m2 ≥ 1, n ≥ 11 and n = m1 + m2 + 5, then for any bicyclic graph with exactly two cycles GΩ1,n,

a(G1(n6,1)c)a(G1(m1,m2)c)a(Gc),

where equalities hold if and only if G1 (n – 6, 1)c G1 (m1, m2) ≅ G.

3 Computational results of minimum algebraic connectivity

The computational results of the algebraic connectivity are presented in this section.

Lemma 3.1

Let m1, m2 and n be positive integers, such that m1m2 ≥ 1, n ≥ 11 and m1 + m2 + 5 = n. Then a(G1(n – 6, 1)c) < … < a(G1(m1 + 1, m2 – 1)c) < a(G1(m1, m2)c).

Proof

Let G1(m1, m2) be a graph with labeled vertices as shown in Figure 1 and Z be a unit Fiedler vector of G1(m1, m2)c. By Lemma 2.1 and LE-equation (3), a(G1(m1, m2)c) ≠ dG1(m1, m2)c(v) +1 for any vV(G1(m1, m2)c) and all the pendant vertices attached with same vertex have same values given by Z. Therefore, Zi : = Zvi for 1 ≤ i ≤ 7 and we have the following equations for a = a(G1(m1, m2)c),

(m1+m2+3a)Z1=(m11)Z1+Z2+Z4+Z5+Z6+m2Z7,(m1+m2+3a)Z2=m1Z1+Z4+Z5+Z6+m2Z7,(m2a)Z3=m2Z7,(m1+m2+2a)Z4=m1Z1+Z2+Z6+m2Z7,(A1)(m1+m2+2a)Z5=m1Z1+Z2+Z4+m2Z7,(m1+2a)Z6=m1Z1+Z2+Z4,(m1+m2+3a)Z7=m1Z1+Z2+Z3+Z4+Z5+(m21)Z7.

Transform (A1) into a matrix equation (MaI)Z = 0, where Z = (Z1, Z2, Z3, Z4, Z5, Z6, Z7)T and

M=m2+410111m2m1m1+m2+30111m200m2000m2m110m1+m2+201m2m1101m1+m2+20m2m11010m1+20m111110m1+4

Let g(λ; m1, m2) := det(λIM), then we have

g(λ; m1, m2) = λ (− 4 − m1m2 + λ) (− 3 − m1m2 + λ) (15 m2 + 23 m1 m2 + 9 m12 m2 + m13 m2 + 8 m22 + 10 m1 m22 + 2 m12m22 + m23 + m1 m23 − 16 λ − 24 m1 λ − 9 m12 λ m13 λ − 32 m2 λ − 28 m1 m2 λ − 5 m12 m2 λ − 11 m22 λ − 5 m1 m22 λ m23 λ + 24 λ2 + 18 m1 λ2 + 3 m12 λ2 + 19 m2 λ2 + 7 m1 m2 λ2 + 3 m22 λ2 – 9 λ3 – 3 m1 λ3 – 3 m2 λ3 + λ4).

Since g(0; m1, m2) = 0 = g(a; m1, m2), thus a is the second smallest root of g(λ; m1, m2). Observe that

g(λ;m1+1,m21)g(λ;m1,m2)=λ(2+m1m2)(3+m1+m2λ)2(4+m1+m2λ)(5+m1+m2λ)=λ(2+m1m2)(3+m1+m2λ)2(4+m1+m2λ)(nλ).

By Lemma 2.1, a = a(G1(m1, m2)c) < n. Then by m1m2, a > 0 and g(a; m1, m2) = 0, we have g1(a; m1 + 1, m2 – 1) = –a(2 + m1m2) (3 + m1 + m2a)2 (4 + m1 + m2a) (na) < 0. This shows that a(G1(m1 + 1, m2 – 1)c) < a(G1(m1, m2)c). Similarly, we can prove a(G1(m1 + 2, m2 – 2)c) < a(G1(m1 + 1, m2 – 1)c). Consequently, a(G1(n – 6, 1)c) < … < a(G1(m1 + 1, m2 – 1)c) < a(G1(m1, m2)c).

Lemma 3.2

Let m1, m2 and n be positive integers, such that m1m2 ≥ 1, n ≥ 11, m1 + m2 + 5 = n and 2 ≤ i ≤ 9. Then a(G1(m1, m2)c) ≤ a(Gi(m1, m2)c), where equality holds if G1(m1, m2) ≅ Gi(m1, m2).

Proof

Using Lemma 2.1 and (3) (as in Lemma 3.1), we find the following polynomials of the graphs Gi(m1, m2)c for 2 ≤ i ≤ 9.

g2(a; m1 + 1, m2 – 1) = –a(na) (4 + m1 + m2a) (14 + 20 m1 + 8 m12 + m13 + 10 m2 + 6 m1 m2 + m12 m2 – 2 m22 m1 m22 m23 − 15a – 11 m1 a – 2 m12 am2a + 2 m22 a + 3a2 + m1 a2m2 a2),

g3(a; m1 + 1, m2 – 1) = (m1 + m2a + 1) (− 23 – 25 m1 − 9 m12 m13 − 11 m2 – 6 m1 m2 m12 m2 + 3 m22 + m1 m22 + m23 − 50a – 97 m1a – 57 m12 a – 13 m13 a m14 a – 69 m2a – 60 m1 m2a – 19 m12 m2a – 2 m13 m2a – 3 m22 a + m1 m22 a + 7 m23 a + 2 m1 m23 a + m24 a + 86a2 + 88 m1 a2 + 29 m12 a2 + 3 m13 a2 + 32 m2 a2 + 18 m1 m2 a2 + 3 m12 m2 a2 – 11 m22 a2 – 3 m1 m22 a2 – 3 m23 a2 – 30a3 – 19 m1 a3 – 3 m12 a3 + m2 a3 + 3 m22 a3 + 3a4 + m1 a4m2 a4),

g4(a; m1 + 1, m2 – 1) = –a(4 + m1m2) (1 + m1 + m2a) (3 + m1 + m2a) (4 + m1 + m2a) (5 + m1 + m2a),

g5(a, m1 + 1, m2 – 1) = –a(− 4 − m1m2 + a) (− 50 – 86 m1 − 50 m12 − 12 m13 m14 – 54 m2 – 53 m1 m2 – 18 m12 m2 – 2 m13 m2 – 3 m22 + 6 m23 + 2 m1 m23 + m24 + 71a + 77 m1a + 27 m12 a + 3 m13 a + 30 m2a + 18 m1 m2a + 3 m12 m2a – 9 m22 a – 3 m1 m22 a – 3 m23 a – 27a2 – 18 m1 a2 – 3 m12 a2 + 3 m22 a2 + 3a3 + m1 a3m2 a3),

g6(a, m1 + 1, m2 – 1) = (16 + 56 m1 + 53 m12 + 18 m13 + 2 m14 + 56 m2 + 113 m1 m2 + 67 m12 m2 + 15 m13 m2 + m14 m2 + 53 m22 + 67 m1 m22 + 26 m12m22 + 3 m13m22 + 18 m23 + 15 m1 m23 + 3 m12m23 + 2 m24 + m1 m24 – 171a – 353 m1a – 260 m12 a – 90 m13 a – 15 m14 a m15 a – 271 m2a – 378 m1 m2a – 186 m12 m2a – 39 m13 m2a – 3 m14 m2a – 105 m22 a – 88 m1 m22 a – 24 m12m22 a – 2 m13m22 a + 8 m23 a + 9 m1 m23 a + 2 m12m23 a + 9 m24 a + 3 m1 m24 a + m25 a + 265a2 + 394 m1 a2 + 210 m12 a2 + 48 m13 a2 + 4 m14 a2 + 239 m2 a2 + 231 m1 m2 a2 + 75 m12 m2 a2 + 8 m13 m2 a2 + 14 m22 a2 + 3 m1 m22 a2 – 24 m23 a2 – 8 m1 m23 a2 – 4 m24 a2 – 152a3 – 158 m1 a3 – 54 m12 a3 – 6 m13 a3 – 60 m2 a3 – 37 m1 m2 a3 – 6 m12 m2 a3 + 18 m22 a3 + 6 m1 m22 a3 + 6 m23 a3 + 36a4 + 24 m1 a4 + 4 m12 a4 – 4 m22 a4 – 3a5m1 a5 + m2 a5),

g7(a, m1 + 1, m2 – 1) = –a(2 + m1m2) (− 5 − m1m2 + a) (− 4 − m1m2 + a) (− 3 − m1m2 + a) (− 1 − m1m2 + a),

g8(a, m1 + 1, m2 – 1) = –a(1 + m1m2) (2 + m1 + m2a) (3 + m1 + m2a) (4 + m1 + m2a) (5 + m1 + m2a),

g9(a, m1 + 1, m2 – 1) = (2 + m1 + m2a) (4 + m1 + m2a) (− 8 m1 − 6 m12 m13 + 8 m2 m12 m2 + 6 m22 + m1 m22 + m23 + 4a + 32 m1a + 32 m12 a + 10 m13 a + m14 a – 30 m2a + 10 m12 m2a + 2 m13 m2a – 32 m22 a – 10 m1 m22 a – 10 m23 a – 2 m1 m23 a m24 aa2 – 31 m1 a2 – 20 m12 a2 – 3 m13 a2 + 31 m2 a2 – 3 m12 m2 a2 + 20 m22 a2 + 3 m1 m22 a2 + 3 m23 a2 + 10 m1 a3 + 3 m12 a3 – 10 m2 a3 – 3 m22 a3m1 a4 + m2 a4).

Now, consider g1(a, m1 + 1, m2 – 1) – g2(a, m1 + 1, m2 – 1) = a(1 + a – 2 m2) (− 5 + am1m2) (− 4 + am1m2)2 > 0.

Thus,

a(G1(m1+1,m21)c)<a(G2(m1+1,m21)c). (5)

g1(a, m1 + 1, m2 – 1) – g3(a, m1 + 1, m2 – 1) = 23 – 333a + 266a2 – 50a3 – 3a4 + a5 + 48 m1 − 460a m1 + 262a2m1 − 36a3m1 + 34 m12 − 222a m12 + 82a2 m12 − 6a3 m12 + 10 m13 − 44a m13 + 8a2 m13 + m14 – 3a m14 + 34 m2 – 114a m2 – 56a2m2 + 54a3m2 – 8a4m2 + 42 m1 m2 – 112a m1 m2 – 18a2m1 m2 + 12a3m1 m2 + 16 m12 m2 – 38a m12 m2 + 2 m13 m2 – 4a m13 m2 + 8 m22 + 110a m22 − 100a2 m22 + 18a3 m22 + 2 m1 m22 + 56a m1 m22 – 24a2m1 m22 + 6a m12m22 − 4 m23 + 50a m23 − 16a2 m23 – 2m1 m23 + 12a m1 m23 m24 + 5a m24 < 0.

Thus,

a(G1(m1+1,m21)c)<a(G3(m1+1,m21)c). (6)

g1(a, m1 + 1, m2 – 1) – g4(a, m1 + 1, m2 – 1) = 2a (1 + a – 2 m2) (− 5 + am1m2) (− 4 + am1m2) (− 3 + am1m2) > 0.

Thus,

a(G1(m1+1,m21)c)<a(G4(m1+1,m21)c). (7)

g1(a, m1 + 1, m2 – 1) – g5(a, m1 + 1, m2 – 1) = a(− 4 + am1m2) (40 – 7a – 5a2 + a3 + 37 m1 − 6am1a2m1 + 11 m12 a m12 + m13 − 21 m2 + 25am2 – 5a2m2 – 9m1m2 + 6am1m2 m12 m2 – 20 m22 + 7a m22 − 5 m1 m22 − 3 m23 ) > 0.

Thus,

a(G1(m1+1,m21)c)<a(G5(m1+1,m21)c). (8)

g1(a, m1 + 1, m2 – 1) – g6(a, m1 + 1, m2 – 1) = –16 – 189a + 137a2 – 14a3 – 6a4 + a5 – 56 m1 − 229am1 + 139a2m1 − 15a3m1a4m1 − 53 m12 − 107a m12 + 46a2 m12 – 3a3 m12 − 18 m13 − 23a m13 + 5a2 m13 − 2 m14 – 2a m14 – 56 m2 + 49am2 – 108a2m2 + 53a3m2 – 7a4m2 – 113 m1 m2 + 46a m1 m2 – 51a2m1 m2 + 13a3m1 m2 – 67 m12 m2 + 13a m12 m2 – 6a2 m12 m2 – 15 m13 m2 + a m13 m2 m14 m2 – 53 m22 + 140a m22 − 90a2 m22 + 15a3 m22 − 67m1 m22 + 81a m1 m22 − 24a2m1 m22 − 26 m12m22 + 12a m12m22 − 3 m13m22 − 18 m23 + 45a m23 − 13a2 m23 – 15 m1 m23 + 13a m1 m23 − 3 m12m23 − 2 m24 + 4a m24 m1 m24 > 0.

Thus,

a(G1(m1+1,m21)c)<a(G6(m1+1,m21)c). (9)

g1(a, m1 + 1, m2 – 1) – g7(a, m1 + 1, m2 – 1) = 2a(− 5 + am1m2) (− 4 + am1m2) (− 3 + am1m2) (2 + m1m2) > 0.

Thus,

a(G1(m1+1,m21)c)<a(G7(m1+1,m21)c). (10)

g1(a, m1 + 1, m2 – 1) – g8(a, m1 + 1, m2 – 1) = –a(− 4 + a – 2 m1) (− 5 + am1m2) (− 4 + am1m2) (− 3 + am1m2) < 0.

Thus,

a(G1(m1+1,m21)c)<a(G8(m1+1,m21)c). (11)

g1(a, m1 + 1, m2 – 1) – g9(a, m1 + 1, m2 – 1) = (− 4 + am1m2) (98a – 84a2 + 23a3 – 2a4 – 16 m1 + 199a m1 – 178a2m1 + 68a3m1 − 13a4m1 + a5m1 − 20 m12 + 163a m12 – 131a2 m12 + 39a3 m12 − 4a4 m12 − 8 m13 + 66a m13 – 39a2 m13 + 6a3 m13 m14 + 13a m14 – 4a2 m14 + a m15 + 16 m2 – 31am2 + 86a2m2 – 56a3m2 + 13a4m2a5m2 + 46am1 m2 – 12a2m1 m2 – 8 m12 m2 + 70a m12 m2 – 39a2 m12 m2 + 6a3 m12 m2 – 2 m13 m2 + 26a m13 m2 – 8a2 m13 m2 + 3a m14 m2 + 20 m22 − 117a m22 + 119a2 m22 − 39a3 m22 + 4a4 m22 + 8 m1 m22 − 58am1 m22 + 39a2m1 m22 − 6a3m1 m22 + 2a m13m22 + 8 m23 − 62a m23 + 39a2 m23 − 6a3 m23 + 2 m1 m23 − 26am1 m23 + 8a2m1 m23 − 2a m12m23 + m24 – 13a m24 + 4a2 m24 – 3am1 m24 a m25 ) > 0.

Thus,

a(G1(m1+1,m21)c)<a(G9(m1+1,m21)c). (12)

From (5) to (12), we have a(G1(m1 + 1, m2 – 1)c) ≤ a(Gi(m1 + 1, m2 – 1)c). Consequently, for 2 ≤ i ≤ 9, a(G1(m1, m2)c) ≤ a(Gi(m1, m2)c), where equality holds if G1(m1, m2) ≅ Gi(m1, m2).

Lemma 3.3

Let m1, m2 and n be positive integers, such that m1m2 ≥ 1, n ≥ 11, and m1 + m2 + 5 = n. Then a( G1 (m1, m2)c) < a(G1(m1, m2)c).

Proof

Let Z = {Zvi} be a unit Fiedler vector of the graph G1(m1, m2)c for 1 ≤ in. After deleting the edge v4v5 and adding v4v2 in G1(m1, m2), we obtain G1 (m1, m2) (see Figure 1 and Figure 3, for particular values of m1 = 5 and m2 = 1 see Figure 4). Now, by (2) and Lemma 2.2, we have

ZTL(G1(m1,m2))Z=vivjE(G1(m1,m2)(ZviZvj)2vivjE(G1(m1,m2)(ZviZvj)2=ZTL(G1(m1,m2))Z.
Figure 4 
a(
G1′
$\begin{array}{}
G^{'}_1
\end{array}$(5, 1)c) < a(G1(5, 1)c).
Figure 4

a( G1 (5, 1)c) < a(G1(5, 1)c).

Using (5), we obtain a(G1(m1, m2)c) = ZTL(G1(m1, m2)c)Z = ZT(nIJ)ZZTL(G1(m1, m2))Z > ZT(nIJ)ZZTL( G1 (m1, m2))Z > a( G1 (m1, m2)c). Consequently, a( G1 (m1, m2)c) < a(G1(m1, m2)c).

4 Characterization

This section consists on the main results of the paper.

Theorem 4.1

Let n, m1 and m2 be any positive integers such that m1m2 ≥ 1, n ≥ 11 and n = m1 + m2 + 5, then for any bicyclic graph with three cycles GΩ2,n,

a(Gi(m1,m2)c)a(Gc),

where 1 ≤ i ≤ 9.

Proof

Let G be a bicyclic graph with three cycles C1(l1), C2(l2) and C3(l3) with lengths l1 ≥ 3, l2 ≥ 3 and l3 ≥ 4, respectively. The cycles C1(l1) and C2(l2) are inner cycles with at least one common edge and C3(l3) is an outer cycle such that l3 = l1 + l2 – 2k, where k are common edges in C1(l1) and C2(l2). Let Z be a unit Fiedler vector of Gc. Then, we have a sequence {Zvn} such that

Zv1Zv2...Zvn.

For dG(v1, vn) > 1, we can assume the path v1Gvn = v1w1w2vn. In the path v1Gvn, dG(v1, vn) = 2 if w1 = w2. Add the edge v1vn and delete v1w1 or w2vn such that the resulting bicyclic graph Gα is not H(n, 2). Then by (2) and Lemma 2.2, we have

ZTL(G)Z=vivjE(G)(ZviZvj)2vivjE(Gα)(ZviZvj)2=ZTL(Gα)Z, (13)

where Gα is a bicyclic graph with three cycles C1( l1 ), C2( l2 ) and C3( l3 ) having some trees attached with the vertices of one or both the cycles C1( l1 ) and C2( l2 ). The lengths l1 , l2 and l2 may or may not different from l1, l2 and l3 respectively. Most importantly, we note that dGα(v1, vn) = 1. If Gα ∉ {Gi : 1 ≤ i ≤ 9}, then we have the following three cases for Gα:

  1. Both the vertices v1 and vn are cycle vertices. In this case, we discuss further four possibilities (1) both the vertices are on exactly one inner cycle, (2) one of v1 and vn is a common vertex of both the inner cycles, (3) both the vertices v1 and vn are common vertices of the inner cycles, and (4) each inner cycle contains exactly one of v1 and vn.

    1. We assume without loss of generality that both the vertices v1 and vn are on the cycle C1( l1 ). Since, for l1 ≥ 4 and l2 = 3 the cycles C1( l1 ) and C2( l2 ) have two common vertices, therefore, we can assume C1( l1 ) = v1 vn w1 w2 w3wiwi+1wmv1, where m = l1 – 2 and two vertices other than v1 and vn are also of C2( l2 ).

      1. Suppose that wm–1 and wm are common vertices of the inner cycles. If (Zwm–1Zv1)2 ≥ (Zwm–1Zvn)2, we delete the edge wm–2wm–1 and add wm–1v1 (as (b) is obtained from (a) in Figure 5). The resulting graph Gαα is a bicyclic graph with two inner cycles C1( l1 ) and C2( l2 ), and an outer cycle C3( l3 ) such that l1 = 3 = l2 , l3 = 4, some trees are attached on v1 in C1( l1 ) and some trees are attached on vn which is non cycle. Thus, Gαα is a bicycle graph G3(m1, m2) which is obtained when we identify B1 by a vertex of degree 2 with end point say v1 of an edge v1vn having some trees on v1 and vn (see Figure 1 with v1vn = v2v3).

        Figure 5
        Figure 5

        If (Zwm–1Zv1)2 < (Zwm–1Zvn)2, we delete the edge wm–2wm–1 and add wm–1vn (as (c) is obtained from (a) in Figure 5). The resulting graph Gαα is a bicyclic graph with two inner cycles C1( l1 ) and C2( l2 ), and an outer cycle C3( l3 ) such that l1 = 4, l2 = 3, l3 = 5 and some trees are attached on both v1 and vn in C1( l1 ). Thus, Gαα is a bicycle graph which is infect B2 with some trees on the two adjacent vertices of degree 2 i.e G6(m1, m2) (see Figure 2). If we proceed from the other side of the path, then for (Zw2Zv1)2 ≥ (Zw2Zvn)2, we delete the edge w1w2 and add the edge w2v1 otherwise, we delete w1w2 and add w2vn. Thus, the resulting graph Gαα is a bicyclic graph with three cycles such that the lengths of the inner cycles are l1 – 2 and l2 = 3 or l1 – 1 and l2 = 3. Now, repeat the process for the vertex w3 and continue up to the vertex wm–1. Thus, we obtain the same graphs G3(m1, m2) and G6(m1, m2).

      2. Suppose that wi and wi+1 are common vertices of the inner cycles, where 2 ≤ im – 2. If (ZwiZv1)2 ≥ (ZwiZvn)2, we delete wi–1 wi and add wiv1. Now, if (Zwi+1Zv1)2 ≥ (Zwi+1Zvn)2, we delete wi+1wi+2 and add wi+1v1, otherwise delete wi+1wi+2 and add wi+1vn. Thus, the resulting graphs are G3(m1, m2) or G6(m1, m2), respectively.

        If (ZwiZv1)2 < (ZwiZvn)2, we delete wi–1wi and add wivn. Now, if (Zwi+1Zv1)2 ≥ (Zwi+1Zvn)2, we delete wi+1wi+2 and add wi+1v1, otherwise delete wi+1wi+2 and add wi+1vn. Thus, the resulting graphs are G6(m1, m2) or G3(m1, m2), respectively.

      3. Suppose that w1 and w2 are common vertices of the inner cycles, then we repeat (i) and the obtained graphs are same as there.

        If in (1(i)-(iii)), l2 ≥ 4, then we can assume C2( l2 ) = u1 u2ul wiwi+1, where wi and wi+1 are two common vertices of the cycles C1( l1 ) and C2( l2 ) for 1 ≤ im – 1 and l = l2 – 2. By the use of (1(i)-(iii)), we have C1( l1 ) with l1 = 3, some trees attached on v1C1( l1 ) and some trees attached on vn (pendant vertex) or with l1 = 4 and some trees attached on v1 and vn (both are in C1( l1 )). Now, for C2( l2 ), if (Zu1Zv1)2 ≥ (Zu1Zvn)2, delete the edge u1u2 and add the edge u1v1, otherwise delete u1u2 and add u1vn. Thus, the resulting graphs are G4(m1, m2) and G5(m1, m2) or G5(m1, m2) and G7(m1, m2), (see Figure 1 and Figure 2) respectively. Moreover, l1 = 3 = l2 is not possible as both the vertices v1 and vn can not appear on only C1( l1 ).

    2. Without loss of generality suppose that vn is on the cycle C1( l1 ) and v1 is a common vertex of the inner cycles. Assume that l1 ≥ 4, l2 = 3 and C1( l1 ) = v1 vn w1 w2 w3wmv1, where wm is also a common vertex of the inner cycles and m = l1 – 2.

      If (Zwm–1Zv1)2 ≥ (Zwm–1Zvn)2, we delete the edge wm–2wm–1 and add the edge wm–1v1. The resulting graph Gαα is a bicyclic graph with two inner cycles C1( l1 ) and C2( l2 ), and an outer cycle C3( l3 ) such that l1 = 3 = l2 , l3 = 4, some trees are attached on v1 which is a common vertex of both the inner cycles and some trees are attached on vn in C2( l2 ). Thus, Gαα is a bicycle graph G4(m1, m2) which is obtained when we identify B1 by a vertex of degree 3 with an end point v1 of an edge v1vn having some trees on v1 and vn (see Figure 1 with v1vn = v2v4).

      If (Zwm–1Zv1)2 < (Zw2Zvn)2, we delete the edge wm–2wm–1 and add the edge wm–1vn. The resulting graph Gαα is a bicyclic graph with two inner cycles C1( l1 ) and C2( l2 ), and an outer cycle C3( l3 ) such that l1 = 4, l2 = 3, l3 = 5, some trees are attached on v1 which is a common vertex of both the inner cycles and some trees are attached on vn in C2( l2 ). Thus, Gαα is a bicycle graph G5(m1, m2) (see Figure 1) which is infect B2 with some trees which are attached on two adjacent vertices of degree 2 and 3 in C4B2.

      If we proceed from the other side of the path, then for (Zw2Zv1)2 ≥ (Zw2Zvn)2, we delete the edge w1w2 and add the edge w2v1 otherwise, we delete the edge w1w2 and add the edge w2vn. Thus, the resulting graph Hαα is a bicyclic graph with three cycles such that the lengths of the inner cycles are l1 – 2 and l2 = 3 or l1 – 1 and l2 = 3. Now, repeat the process for the vertex w3 and continue up to the vertex wm–1. Thus, we obtain the same graphs G4(m1, m2) and G5(m1, m2).

      If in (2), l2 ≥ 4, then we can assume C2( l2 ) = u1 u2ul wiv1u1, where wi and v1 are two common vertices of the cycles C1( l1 ) and C2( l2 ) for 1 ≤ im and l = l2 – 2. By the use of (2), we have C1( l1 ) with l1 = 3, some trees attached on v1C1( l1 ) and some trees attached on vn (pendant vertex) or with l1 = 4 and some trees attached on v1 and vn (both are in C1( l1 )). Now, for C2( l2 ), if (ZulZv1)2 ≥ (ZulZvn)2, delete the edge ul–1ul and add the edge ulv1, otherwise delete the edge ul–1ul and add the edge ulvn. Thus, the resulting graphs Gαα are G4(m1, m2) and G5(m1, m2) or G5(m1, m2) and G7(m1, m2), respectively. Moreover, if l1 = 3 = l2 , then we obtain G2(m1, m2).

    3. Suppose that v1 and vn both are common vertices of the inner cycles. Assume that l1 ≥ 4, l2 = 3 and C1( l1 ) = v1 vn w1 w2 w3wmv1, where m = l1 – 2.

      If (Zwm–1Zvn)2 ≥ (Zwm–1Zv1)2, we delete the edge wm–2wm–1 and add the edge wm–1vn. The resulting graph Gαα is a bicyclic graph with two inner cycles C1( l1 ) and C2( l2 ), and an outer cycle C3( l3 ) such that l1 = 4, l2 = 3, l3 = 5, some trees are attached on v1 and vn which are common vertices of the inner cycles. Thus, Gαα is a bicycle graph G8(m1, m2) (see Figure 2) which is obtained from B2 by attaching some trees on both the vertices of degree 3.

      If (Zwm–1Zv1)2 > (Zwm–1Zvn)2, we delete the edge wm–1wm and add the edge wm–1v1. Then, check for wm–2, if (Zwm–2Zvn)2 ≥ (Zwm–2Zv1)2, delete the edge wm–3wm–2 and add the edge wm–2vn. The resulting graph is H8(m1, m2). If (Zwm–2Zv1)2 > (Zwm–2Zvn)2, delete wm–2wm–1 and add wm–2v1. Repeat this process until we reach on the vertex w2. If (Zw2Zvn)2 ≥ (Zw2Zv1)2, delete the edge w2w1 and add the edge w2vn, otherwise delete w2w3 and add w2v1. The resulting graph is G8(m1, m2).

      If in (3), l2 ≥ 4, then we can assume C2( l2 ) = u1 u2ulvnv1u1. By the use of (3), we have C1( l1 ) with l1 = 4 and some trees attached on v1 and vn (both are common vertices). Now, again repeat (3) for C2( l2 ) and we obtain G9(m1, m2). If l1 = 3 = l2 , then we obtain G1(m1, m2).

    4. Suppose that v1 is on C1( l1 ) and vn is on C2( l2 ), where l1 , l2 ≥ 3. We note that dGα(v1, vn) ≥ 2, which is not possible.

  2. One of v1, vn is a cycle vertex.

    We assume that v1 is a cycle vertex and vn is non cycle vertex without loss of generality. In this case, for v1, we have three possibilities (1) v1 is on C1( l1 ), (2) v1 is a common vertex of both the inner cycles and (3) v1 is on C2( l2 ).

    1. If v1 is only on C1( l1 ), then for l1 ≥ 4 and l2 = 3, we have C1( l1 ) = v1w1 w2 w3wiwi+1wmv1. Assume wi and wi+1 are common vertices of the inner cycles, where 1 ≤ im – 1. Now, we repeat (Case a (1)) and obtain G3(m1, m2) or G6(m1, m2). If l2 ≥ 4 then again by (Case a (1)), the resulting graphs are G4(m1, m2) and G5(m1, m2) or G5(m1, m2) and G7(m1, m2). Moreover, if l1 = 3 = l2 , then the resulting graph is G3(m1, m2).

    2. If v1 is a common vertex of the inner cycles. Assume that wm is an other common vertex such that l1 ≥ 4, l2 = 3, C1( l1 ) = v1 vn w1 w2 w3wmv1 and m = l1 – 1. Now, by (Case a (2)), we obtain G4(m1, m2) or G5(m1, m2). If l2 ≥ 4 then again by (Case a (2)), the resulting graphs are G4(m1, m2) and G5(m1, m2) or G5(m1, m2) and G7(m1, m2). Moreover, if l1 = 3 = l2 , then the resulting graph is G4(m1, m2). (3) If v1 is only on C2( l2 ), then follow (Case b (1)).

  3. Both v1 and vn are non cycle vertices.

    Suppose that u and v are common vertices of the inner cycles such that C1( l1 ) = uvw1w2w3wm and C2( l2 ) = uvu1u2u3ul, where l1 ≥ 4, m = l1 – 2 and l = l2 – 2. Assume that there is a path P containing the vertices v1 and vn has one end point either u or v. If v is on P and w1 is adjacent to v in C1( l1 such that (Zw1Zv1)2 ≥ (Zw1Zvn)2, then we delete w1v and add w1v1, otherwise delete w1v and add w1vn. Then the resulting bicyclic graph Gα,α is in Case a or Case b.

    Then by equation (2) and Lemma (3), we have

    ZTL(Gα)Z=vivjE(Gα)(ZviZvj)2vivjE(Gαα)(ZviZvj)2=ZTL(Gαα)Z, (14)

    If Gαα ∉ {Gi : 1 ≤ i ≤ 9} and there exists a pendant vertex v, whose neighbor a is neither v1 nor vn, satisfying (ZvZv1)2 ≥ (ZvZvn)2, then delete av and add vv1; otherwise delete av and add vvn. Repeat this rearranging until the resulting graph

    Gααα{Gi:1i9}.

    Then by equation (2) and Lemma (2.2), we have

    ZTL(Gαα)Z=vivjE(Gαα)(ZviZvj)2vivjE(Gααα)(ZviZvj)2=ZTL(Gααα)Z (15)

    By (13) – (15), we have

    a(Gc)=ZTL(Gc)Z=ZT(nIJ)ZZTL(G)ZZT(nIJ)ZZTL(Gα)ZZT(nIJ)ZZTL(Gαα)ZZT(nIJ)ZZTL(Gααα)Z=ZTL(Gαααc)Za(Gααα).

    Hence we have a(Gc) ≥ a( Gαααc ). Consequently, a(Gi(m1, m2)c) ≤ a(Gc) and equality holds if and only if Gi(m1, m2) ≅ G, where GΩ2,n and 1 ≤ i ≤ 9.

Theorem 4.2

Let n, m1 and m2 be any positive integers such that m1m2 ≥ 1, n ≥ 11 and n = m1 + m2 + 5, then for any bicyclic graph with three cycles GΩ2,n,

a(G1(n6,1)c)a(G1(m1,m2)c)a(Gc),

where equalities hold if and only if G1(n – 6, 1)cG1(m1, m2) ≅ G.

Proof

The proof of this theorem follows from Lemma 3.1, Lemma 3.2 and Theorem 4.1.

Theorem 4.3

Let n, m1 and m2 be any positive integers such that m1m2 ≥ 1, n ≥ 11 and n = m1 + m2 + 5, then for any bicyclic graph with two or three cycles GΩn = Ω1,nΩ2,n,

a(G1(n6,1)c)a(G1(m1,m2)c)a(Gc),

where equalities hold if and only if G1(n – 6, 1)cG1(m1, m2) ≅ G.

Proof

The proof of this theorem follows from Theorem 2.3, Lemma 3.3 and Theorem 4.2.

5 Conclusions

In this paper, we have characterized the unique graph in the class of connected graphs whose complements are bicyclic having exactly three cycles with respect to the second least Laplacian eigenvalue (algebraic connectivity) of the Laplacian matrix. Mainly, we found the unique graph with minimum algebraic connectivity in the complete class of connected graphs whose complements are bicyclic with two or three cycles. The problem is still open to discuss the algebraic connectivity of the other families of the connected graphs whose complements are k-cyclic graphs for k ≥ 3 (tricyclic, tetracyclic and so on.)

Acknowledgement

The authors are indebted to the anonymous referees for their valuable comments to improve the original version of this paper. The first author is supported by the China Postdoctoral Science Foundation under Grant 2017M621579, the Postdoctoral Science Foundation of Jiangsu Province under Grant 1701081B, and the Project of Anhui Jianzhu University under Grant 2016QD116 and Grant 2017dc03.

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Received: 2019-06-22
Accepted: 2019-10-02
Published Online: 2019-12-10

© 2019 Jia-Bao Liu et al., published by De Gruyter

This work is licensed under the Creative Commons Attribution 4.0 Public License.

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  120. L-fuzzy ideals and L-fuzzy subalgebras of Novikov algebras
  121. L-topological-convex spaces generated by L-convex bases
  122. An optimal fourth-order family of modified Cauchy methods for finding solutions of nonlinear equations and their dynamical behavior
  123. New error bounds for linear complementarity problems of Σ-SDD matrices and SB-matrices
  124. Hankel determinant of order three for familiar subsets of analytic functions related with sine function
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  127. Regular Banach space net and abstract-valued Orlicz space of range-varying type
  128. Some properties of pre-quasi operator ideal of type generalized Cesáro sequence space defined by weighted means
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  132. Rough quotient in topological rough sets
  133. Split Hausdorff internal topologies on posets
  134. A preconditioned AOR iterative scheme for systems of linear equations with L-matrics
  135. New handy and accurate approximation for the Gaussian integrals with applications to science and engineering
  136. Special Issue on Graph Theory (GWGT 2019)
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