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On Minimal Energy of a Class of Bicyclic Graphs

with given Cycles’ Length and Pendent Vertices

Yan Mi, Liancui Zuo

and Chunhong Shang

Abstract

The energy ofGis defined as the sum of absolute value of all eigenvalues of the adjacency matrix A(G). Let B2(n, a, b, p)be the set of all bicyclic graphs on n ver-tices withppendent vertices and two cycles Ca and Cb which have unique common vertexu0,B2θ(n, a, b, p)the graph class obtained by coinciding the common vertexu0

of Ca and Cb with the center of the star Sn−(a+b−1)+1,

andB2

µ(n, a, b, p)the set obtained by coinciding the com-mon vertexu0 ofCa andCb with the center of the star Sp and connecting a pendent pathPn−(a+b−1)−(p−1) on

pointu0. In this paper, it is obtained thatBθ2(n, a, b, p) has the minimal energy in all graphs which have only pendent vertices except two cycles, andB2

µ(n, a, b, p)has the minimal energy in all graphs which have prescribed cycles’ length and pendent vertices.

Keywords: Bicyclic graphs; Quasi-Order method; Min-imal energy

1

Introduction

In this paper, all graphs are finite, connected, undirected and simple. In recent years, many parameters and classes of graphs were studied. For example, in [1], the restricted connectivity of Cartesian product graphs were obtained, and in [2, 12], some results on 3-equitable labeling and the n-dimensional cube-connected complete graph were gained. Let G be a graph with ordern and adjacency matrix A(G). The characteristic polynomial of G, de-noted byφ(G), is defined as

φ(G, x) = det(xI−A(G)) =

n

X

i=0

aixn−i,

where I is the identity matrix of order n. The roots of the equationφ(G) = 0, denoted byλ1, λ2,· · ·, λn, are the eigenvalues of A(G). It’s easy to see that eachλi is real sinceA(G)is real symmetric. The energy ofG, denoted byE(G), is defined as

E(G) =

n

X

i=1 |λi|.

Manuscript received August 23,2016. This work was

sup-ported by NSF of Tianjin with code 16JCYBJC23600 and Tian-jin Training Program of Innovation for Undergraduates with code 201510065052.

Yan Mi, Liancui Zuo and Chunhong Shang are with College of

Mathematical Science, Tianjin Normal University, Tianjin, 300387, China. Email: [email protected];[email protected]

For the coefficients ai(G) of φ(G), set bi(G) = |ai(G)|(i = 0,1,· · ·, n). The following formula is given in Sachs theorem,

ai(G) =

X

S∈Li

(−1)ω(S)2c(S),

where Li denotes the set of Sachs subgraphs (the sub-graphs in which every component is either a K2 or a

cycle) of Gthat contain i vertices, ω(S) is the number of connected components of S, and c(S) is the number of cycles contained inS.

It is well known that the Coulson integral formula of the energy is expressed as the following form

E(G) = 21πR−∞+∞x12ln[( bn

2c

P

i=0

(−1)ib2ix2i)2

+(

bn

2c

P

i=0 (−1)ib

2i+1x2i+1)2]dx.

(1)

Obviously, the formula (1) is a strictly monotonically increasing function of bi(G), that is to say, for any two graphs G1 andG2 with the same order, there exists the

following relationship:

bi(G1)≥bi(G2)hold f or i≥0

⇒E(G1)≥E(G2).

In order to compare the energy of graphs with a bet-ter way, we need to define the following Quasi-Order: if bi(G1) ≥ bi(G2) hold for all i ≥ 0, we can write

G1G2 or G2≺G1; if G1 G2 and there exists some

i0 such that bi0(G1)> bi0(G2), then we write G1G2. Combining with the formula (1), the increasing property G1G2⇒E(G1)> E(G2)of graph energy is obtained.

In theoretical chemistry, the energy of a molecular graph can be approximately used to represent π-electron en-ergy of the molecule, which is an important application of the energy of graphs in the chemical field, and has been widely studied by scholars. For a more detailed explanation can refer to the literature [3-4,10-11,13-15]. In addition, for some special class of graphs, searching for their extreme energy becomes an interesting topic. For the graphs with cycles, many researching conclu-sions have been obtained, for example, [7,9] give unicycle graphs with minimal energy and maximal energy, respec-tively. In [8,10], bicyclic graphs with minimal energy and maximal energy are gotten. On this basis, the relevant conclusions about the extreme energy of the graphs with

IAENG International Journal of Applied Mathematics, 47:1, IJAM_47_1_15

(2)

given parameters are also gained. For example, [13] ob-tains unicycle graphs with given diameter and minimal energy. In [5], the minimal energy of unicyclic graphs with prescribed girth and pendent vertices is given. In [6], the minimal energy of bicyclic graphs with a given diameter is obtained.

Bicyclic graphs are defined as connected graphs with n vertices and n+ 1 edges. According to the character-istics of the number of common vertices in two circles in the bicyclic graphs, they can be divided into three classes: two cycles without any common vertex, two cy-cles with common edges, and two cycy-cles with an unique common vertex. Here we discuss the last case, which is denoted by B2(n, a, b, p), where a, b are the two

cy-cles’ length, andpis the number of pendent vertices. In addition,B2

θ(n, a, b, p)is the graph class obtained by co-inciding the common vertex u0 of Ca and Cb with the center of the starSn−(a+b−1)+1. LetBµ2(n, a, b, p)be the graph class obtained by coinciding the common vertex u0ofCaandCbwith the center of the star Sp, and con-necting a pendent path Pn−(a+b−1)−(p−1) on point u0.

For sake of the convenience, we write Bθ2(n, a, b, p) and B2µ(n, a, b, p)asBθ2(n, p)andB

2

µ(n, p)simply (see Fig.1-2,20 and 28), subgraphs ofGwithout pendent vertices is called the base graph of G, and the base graph class of graph class mentioned above is represented byB2

∞ (see

Fig.3). Let V0(G)denote the set of all pendent vertices of G. dG(x, y) is defined as the distance between two verticesxandy of a graphG, and

dG(x, Ca,b) =min{dG(x, y)| y∈V(Ca,b), x /∈V(Ca,b)}.

In this paper, using Quasi-Order method, we discuss the graphs with minimal energy inB2(n, a, b, p)that are

given length of two cycles with unique common point and pendent vertices by mathematical induction. It is obtained that B2

θ(n, a, b, p) has the minimal energy in all graphs which have only pendent vertices except two cycles, and B2µ(n, a, b, p) has the minimal energy in all graphs which have prescribed cycles’ length and pendent vertices (please see Fig.1-2).

Lemma 1 ([10]) LetG be a simple graph ande =uv be a pendent edge ofGwith pendent vertexv, then

bi(G) =bi(G−v) +bi−2(G−v−u).

Lemma 2 ([10]) Let G be a simple graph. If H is a subgraph (proper subgraph) ofG, thenGH(GH).

2

Graphs with only pendent vertices

ex-cept two cycles in

B

2

(

n, a, b, p

)

Theorem 3. LetG∈B2(n, a, b, p)withn=a+b+p1

and p≥1. Assume that the cycles’ length a and b are fixed, and u0 is the common vertex of two cycles. If

G6=B2

θ(n, a, b, p),thenGBθ2(n, a, b, p).

Proof. We will show the theorem by induction onp. (1) Suppose thatp= 1, i. e., there is only one pendent vertex. Assume thate=u0v is a pendent edge andv is

its pendent vertex, as shown in Fig.2. By Lemma 1, for B2

∞as in Fig.3, we can get

bi(B2θ(n,1)) =bi(G−v) +bi−2(G−u0−v) =bi(B∞2) +bi−2(Pa−1∪Pb−1).

&% '$ q

q q q q q q q

Ca u0 Cb

p v

Fig.1B2θ(n, a, b, p)

&% '$ q

q

Ca u0 Cb

v

Fig.2Bθ2(n, a, b,1)

&% '$ q

Ca u0 Cb

Fig.3B2 ∞

&% '$ q

q

Ca u0 Cb

q

ut

v1

Fig.4A11

&% '$ q

q q q

Ca Cb

v u0

ut

v1

Fig.5B11

&% '$ q

q

Ca u0 Cb

q q q

ut

v1 us

v

Fig.6B12

&% '$ q

q

q q

q

Ca Cb

v u0

ut

v1 ws

w0

Fig.7B13

&% '$ q

Ca u0 Cb

q

q q q q q q q q

ut

v1 l−1

Fig.8C11

&% '$ q

q q q

q q q

q

Ca u0 Cb

q q q q q q q

l−k wt

v1

Fig.9C12

q

Ca u0

q q q q q q q q q

q

q qut+1

ut−1

Fig.10H1

q

q

Ca u0

v

q q q qq q q q q q

q

q

ut+1

ut−1

Fig.11H2

q

Ca u0

q q q q q q q q q

q

q

ut+1

ut−1

q

q

v1 ut

Fig.12H3

q q q q q q q q q q q q q q

v1

u1u2 ut ut−1

Fig.13H4

&% '$ q

q q qq qq q q

qqq qq q

u0 Cb

ws+1

ws−1 q

q

ut

v1

Fig.14H5

Assume thatv is adjacent to ut butu0 belongs to cycle

Cb, as shown in Fig.4. By Lemma 1, for graphs A11 in

IAENG International Journal of Applied Mathematics, 47:1, IJAM_47_1_15

(3)

Fig.4 andH1in Fig.10, we obtain that

bi(A11) =bi(A11−v1) +bi−2(A11−ut−v1) =bi(B∞2 ) +bi−2(H1).

q

q

Ca u0

q q q q

l−1

q q q qq q q q q q

q

q

ut+1

ut−1

Fig.15H6

&% '$ q

Ca u0 Cb

q q q q q q q q q

ut

v1 l−k

q q q q

wt

Fig.16H7

&% '$ q

qqq qq q qwt+1

qqq qq q q

Cb

u0

wt−1 q

q q q q q q q q

ut

v1 l−k

q q q

Fig.17H8

&% '$ q

q q q q q q q

q qqqq

Ca u0 Cb

p

Fig.18H9

Obviously, Pa−1∪Pb−1 is a proper subgraph of H1, so

Pa−1∪Pb−1≺H1, and thenBθ2(n,1)≺A11.

(2) Forp= 2andB2

θ(n,2), by Lemma 1, we can get bi(Bθ2(n,2)) =bi(Bθ2(n,2)−v)

+bi−2(Bθ2(n,2)−u0−v)

=bi(Bθ2(n−1,1)) +bi−2(Pa−1∪Pb−1).

IfG6∼=B2

θ(n,2), then there is at least one pendent vertex which is not adjacent tou0. The problem can be divided

into the following cases.

Case 1. There is at least one pendent point which is adjacent to u0. Suppose that one point is such one and

the other is adjacent touton cycleCb, asB11 shown in

Fig.5. By Lemma 1, we have

bi(B11) =bi(B11−v1) +bi−2(B11−ut−v1) =bi(B2θ(n−1,1)) +Bi(H2),

where H2 is shown in Fig.11. Since Pa−1 ∪ Pb−1 is

a proper subgraph of H2, Pa−1∪Pb−1 ≺ H2. Thus,

B2

θ(n,2)≺B11.

Case 2. There is no pendent vertex which is adjacent to u0, and both of them are adjacent to ut andus on one cycleCb, respectively, as B12 shown in Fig. 6. Then by

Lemma 1, we can get

bi(Bθ2(n,2)) =bi(Bθ2(n,2)−v)

+bi−2(Bθ2(n,2)−u0−v)

=bi(Bθ2(n−1,1)) +bi−2(Pa−1∪Pb−1),

bi(B12) =bi(B12−v) +bi−2(B12−us−v)

=bi(H3) +bi−2(H4),

whereH3, H4are shown in Fig. 12-13.

We can obtain thatB2

θ(n−1,1)≺H3from (1). In

addi-tion, it is obvious thatPa−1∪Pb−1is a proper subgraph

ofH4, so Pa−1∪Pb−1≺H4. Hence,B2θ(n,2)≺B12.

Case 3. There is no pendent vertex that is adjacent to u0, and two points are adjacent to ut andwson two cycles Cb andCa, respectively, as B13 shown in Fig. 7.

By Lemma 1, we obtain that

bi(B11) =bi(B11−v) +bi−2(B11−u0−v) =bi(H3) +bi−2(Pa−1∪H5),

and

bi(B13) =bi(B13−v) +bi−2(B13−ws−v)

=bi(H3) +bi−2(H6),

whereH5, H6are shown in Fig.14-15, respectively.

Comparing Pa−1∪H5 with H6, since the former is a

proper subgraph of the latter, Pa−1∪H5≺H6, that is,

B11 ≺ B13. Combining the conclusion B2θ(n,2) ≺ B11

from (1), we get B2

θ(n,2)≺B13.

Thus, the theorem holds forp= 2.

(3) Assume that the theorem holds forp=l−1. In the sequel, we prove that the theorem still holds for p =l. ForB2

θ(n, l), we have

bi(Bθ2(n, l)) =bi(Bθ2(n, l)−v) +bi−2(Bθ2(n, l)−u0−v) =bi(Bθ2(n−1, l−1)) +bi−2(Pa−1∪Pb−1).

If there is at least one pendent vertex whose neighbor is notu0, asC11shown in Fig.8, then by Lemma 1, we can

get

bi(C11) =bi(C11−v1) +bi−2(C11−ut−v1) =bi(B2θ(n−1, l−1)) +bi−2(H7),

where H7 is shown in Fig.16. SinceH7containsPa−1∪

Pb−1 as its proper subgraph, Pa−1∪Pb−1 ≺H7, so we

have Bθ2(n, a, b, l)≺C11.

Now suppose that there arep−k pendent vertices that are adjacent to u0 (l ≥ k ≥ 2), as C12 shown in Fig.9

(the pendent vertices are not shown all). At this time, choose a pendent edgewtv1withwt6=u0, then

bi(C12) =bi(C12−v1) +bi−2(C12−wt−v1) =bi(H8) +bi−2(H9),

whereH8, H9 are shown in Fig.17-18. Note thatH8 and

H9display a part of the pendent vertices except the

de-formation by deleting one or two vertices fromC12. Since

B2θ(n−1, l−1)andH8are graphs which have only

pen-dent vertices except two cycles with n−1 vertices, by induction hypothesis, we can getB2

θ(n−1, l−1)≺H8,

and Pa−1∪Pb−1≺H9 because Pa−1∪Pb−1 is a proper

subgraph ofH9. ThusBθ2(n, p)≺C12, and the theorem

holds forp=l.

In a word, we have shown thatB2

θ(n, p)is the graph with minimal energy for1≤p≤l, l≥2andn=a+b+p−1.

3

Bicyclic graphs with prescribed

cy-cles’ length and pendent vertices in

B

2

(

n, a, b, p

)

On the basis of Theorem 3, we study the case of n > a+b+p−1. LetQa,b,p

n be graphs shown in Fig. 19.

IAENG International Journal of Applied Mathematics, 47:1, IJAM_47_1_15

(4)

Theorem 4. LetG∈B2(n, a, b, p)withna+b+p1

and p ≥ 1. Assume that the cycles’ length a and b are fixed, and u0 is the common vertex of two cycles.

If G 6∼= B2

µ(n, a, b, p) and G 6∼= Qa,b,pn , then E(G) > E(B2

µ(n, a, b, p)).

Proof. For n = a+b−1 +p, by Lemma 1, we have B2µ(n, a, b, p) ∼= Bθ2(n, a, b, p), the result holds for this case. We show that the result is also true for n−(a+

b−1 +p)≥1in the following.

Assume that V0(G) is the set of all pendent vertices

of G, v is the point in V0(G) such that d

G(v, Ca,b) =

max{dG(x, Ca,b), x∈V0(G)}, anduis its unique neigh-bor. &% '$ q

Ca u0 Cb

qqqqq q q qq q q q p &% '$ q

Ca u0 Cb

q qqqqq q q qq q q q p

Fig.19 Qa,b,pn

&% '$ q

qq q q q q q v v0 u0

Ca u0Cb

p

Fig.20B2

µ(n, a, b, p)

&% '$ q

q q q q q q q q q q u v

Ca u0 Cb

Fig.21D11 &% '$ q

qq q q q q q v u q q

Ca u0Cb

Fig.22D110

&% '$ q

q q q q q q q q q q u qq q q q

v m

Ca u0 Cb

Fig.23D12 &% '$ q q qq q q v q u q m q q q

qCa u0 Cb

Fig.24D120

&% '$ q q q

q q q q

u q

v

Ca u0 Cb

Fig.25D121

&% '$ q q q u q q

v q q

Ca u0 Cb

q q

Fig.26D122

&% '$ q q q

q q q q

u0 q

v0 q

q

Ca u0 Cb

Fig.27D1220

&% '$ q

qq q q q q q q q q q q qq vu u1 v1 Ca u0Cb

p

Fig.28B2µ(n, p)

&% '$ q

qq q q q qq q v u u1

Ca u0Cb

p

Fig.29Bµ2(a+b+p+ 1, p)

Based on the value of n−(a+b−1 +p), there are two

cases that need to be discussed. Case 1. n−(a+b−1 +p) = 1.

By the definition, we can getdG(v, Ca,b) = 2.

Subcase 1. 1. d(u) = 2. By Lemma 1, it is not difficult to verify that

bi(Bµ2(n, p)) =bi(Bµ2(n, p)−v0) +bi−2(Bµ2(n, p)−v0−u0).

Suppose thatG6∼=Bµ2(n, p), then we must haveG∼=D11

orG∼=D0

11(bothD11andD110 are graphs withnvertices

and ppendent vertices, and a part of pendent vertices which are adjacent to vertices on cycles are shown in Fig.21-22). TakeD11as an example, we have

bi(D11) =bi(D11−v) +bi−2(D11−v−u),

whereD11−v∈B2(n−1, p)andD11−v−u∈B2(n− 2, p−1). Since

B2µ(n, p)−v0 =∼Bθ2(n−1, p)

and

Bµ2(n, p)−v0−u0∼=Bθ2(n−2, p−1),

we have

Bθ2(n−1, p)≺B2(n−1, p), Bθ2(n−2, p−1)≺B2(n−2, p−1)

by Theorem 3. On account of G6∼=B2

µ(n, p), we can get Bµ2(n, p) −v0≺D11−v

and

Bµ2(n, p) −v0−u0≺D11−v−u.

Thus, Bµ2(n, p) ≺ D11. Similarly, we can obtain that

B2µ(n, p)≺D011.

Subcase 1. 2. d(u)≥3.

We get firstly

bi(Bµ2(n, p)) =bi(Bµ2(n, p)−v) +bi−2(Bµ2(n, p)−v−u0)

=bi(Bµ2(n−1, p−1)) +bi−2(Pa−1∪Pb−1∪P2), (2)

Assume that G 6∼= B2

µ(n, a, b, p), we must get G ∼= D12

or G∼=D012 (both D12 and D012 are graphs withn

ver-tices and ppendent vertices, and a part of pendent ver-tices that are adjacent to verver-tices on cycles are shown in Fig.23-24). TakeD12as an example. Clearly,

bi(D12) =bi(D12−v) +bi−2(D12−v−u), (3)

and D12−v ∈ B2(n−1, p−1). All points in N(u)

are pendent vertices except one on a cycle. Suppose that there are m pendent vertices adjacent to u, then |N(u)| = m + 1. Since G 6∼= Qa,b,p

n , we have p ≥ m + 1. Set D12 −v − u = G0 ∪(m −1)P1, then

G0∈B2(nm1, pm).

Now we show the result by induction n and p in the following. Assume that the result holds for smalln and p, then B2

µ(n−1, p−1) ≺ B2(n−1, p−1). Because

IAENG International Journal of Applied Mathematics, 47:1, IJAM_47_1_15

(5)

p≥m+ 1, d(u)≥3, anddG(v, Ca,b) = 2, there are at least four pendent vertices inG, son≥a+b+ 4. (1) Assume thatn−(a+b) = 4, i. e.,n=a+b+ 4, and G∈B2(a+b+ 4,4). Suppose thatG=D

121,|V(D121−

v)| −(a+b) = 3 and D121−v ∈ B2(a+b+ 3,3) (see

Fig.25). In the following, we use Quasi-Order method to compare Bµ2(a+b+ 3,3) and D121−v. By Lemma 1,

we get

bi(B2µ(a+b+ 3,3))

=bi(B2µ(a+b+ 2,2)) +bi−2(Pa−1∪Pb−1∪P2),

and

bi(D121−v) =bi(B2(a+b+ 2,2)) +bi−2(B2(a+b,1)).

By Subcase 1.1, we haveB2

µ(a+b+2,2)≺B2(a+b+2,2), and

Pa−1∪Pb−1∪P2≺B2(a+b,1)

sincePa−1∪Pb−1∪P2is a proper subgraph ofB2(a+b,1),

so we get

Bµ2(a+b+ 3,3)≺D121−v

and

Bµ2(a+b+ 3,3)≺B2(a+b+ 3,3).

Thus, forn=a+b+ 4andp= 4, we have Bµ2(a+b+ 3,3)≺B2(a+b+ 3,3),

that is,

Bµ2(n−1, p−1)≺B2(n−1, p−1).

(2) Suppose thatn−(a+b) = 5, i. e.,n=a+b+ 5. On the basis of (1), add one vertex to graphD121 such

that the number of pendent vertices increasing, then the added pendent vertex is adjacent touor other vertex on cycles, and we obtainD122, D1220∈B2(a+b+ 5,5)that

are shown in Fig.26-27.

Suppose that G∼=D122 or G∼=D122, then |V(D122−

v)|=|V(D1220−v0)|=a+b+4andD122−v, D1220−v0 ∈

B2(a+b+ 4,4). By Lemma 1, we get

bi(B2µ(a+b+ 4,4))

=bi(B2µ(a+b+ 3,3)) +bi−2(Pa−1∪Pb−1∪P2),

bi(D122−v) =bi(B2(a+b+ 3,3)) +bi−2(B2(a+b,1)),

and

bi(D1220−v0) =bi(B2(a+b+3,3))+bi−2(B2(a+b+1,2)).

Combining with the result of (1), we have Bµ2(a+b+ 3,3)≺B2(a+b+ 3,3).

Since Pa−1∪Pb−1 ∪P2 is a proper subgraph of both

B2(a+b,1)andB2(a+b+ 1,2), we obtain that Pa−1∪Pb−1∪P2≺B2(a+b,1),

Pa−1∪Pb−1∪P2≺B2(a+b+ 1,2),

Bµ2(a+b+ 4,4)≺D122−v

and

Bµ2(a+b+ 4,4)≺D1220−v0,

so we have

Bµ2(a+b+ 4,4)≺B2(a+b+ 4,4).

Thus, forn=a+b+ 5andp= 5, we have Bµ2(a+b+ 4,4)≺B

2

(a+b+ 4,4),

that is,

Bµ2(n−1, p−1)≺B2(n−1, p−1).

(3) Assume that the theorem holds forn−(a+b) =p−1, i. e.,B2

µ(a+b+p−2, p−2)≺B2(a+b+p−2, p−2).

In the sequel, we prove that the theorem still holds for n−(a+b) =p. Suppose thatG=∼D12orG∼=D120 (see

Fig. 23-24). TakeD12as an example. Clearly,|V(D12−

v)|=a+b+p−1andD12−v∈B2(a+b+p−1, p−1).

A comparison betweenBµ2(a+b+p−1, p−1)andD12−v

will be accomplished in the following. By Lemma 1, we have

bi(Bµ2(a+b+p−1, p−1)) =

bi(Bµ2(a+b+p−2, p−2)) +bi−2(Pa−1∪Pb−1∪P2),

and

bi(D12−v) =bi(B2(a+b+p−2, p−2))

+bi−2(B2(a+b+p−m−1, p−m)).

By induction assumption, we obtain that

B2µ(a+b+p−2, p−2)≺B2(a+b+p−2, p−2).

Becausep−m≥1, it is not difficult to see thatPa−1∪

Pb−1∪P2 is a proper subgraph ofB2(a+b+p−m− 1, p−m), so

Pa−1∪Pb−1∪P2≺B2(a+b+p−m−1, p−m),

and

Bµ2(a+b+p−1, p−1)≺D12−v.

Thus, forn=a+b+p, we have

B2µ(a+b+p−1, p−1)≺B2(a+b+p−1, p−1),

that is,

Bµ2(n−1, p−1)≺B2(n−1, p−1).

By induction, we have

Bµ2(n−1, p−1)≺B2(n−1, p−1),

and the relationship between the first item on right of equations (2) and (3): Bµ2(n−1, p−1)≺D12−v. The

problem is turned into a proof of the relationship between the second:Pa−1∪Pb−1∪P2≺D12−v−u.

IAENG International Journal of Applied Mathematics, 47:1, IJAM_47_1_15

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As what mentioned before,D12−v−u∈B2(n−m−1, p−

m). What remains is to prove thatPa−1∪Pb−1∪P2≺

B2(nm1, pm). Sincepm1, it is clear that

Pa−1∪Pb−1∪P2 is a proper subgraph of B2(n−m− 1, p−m), so we get

Pa−1∪Pb−1∪P2≺B2(n−m−1, p−m).

Thus, we have B2

µ(n, p) ≺ D12. Similarly, we can

ob-tain that B2

µ(n, p)≺D012. Hence the result in Case 1 is

proved.

Case 2. n−(a+b−1 +p)≥2.

In the following, we deal with the problem in two sub-cases.

Subcase 2.1. dG(v, Ca,b)≥3. Subcase 2.1.1. d(u) = 2.

Subcase 2.1.1.1. d(u1) = 2 and u1 is the neighbor

vertex ofu.

Assume that G6∼=Bµ2(n, a, b, p), we must have G∼=D13

which has n vertices and p pendent vertices, where a part of pendent vertices and pendent pathes are shown in Fig.31. &% '$ q q q qqq qq q

q q q q q

Ca u0Cb

v u u1

Fig.30B2µ(a+b+p+ 2, p+ 1)

&% '$ q q q q q q q q q q

Ca u0Cb

v0 u0 u

0 1 Fig.31D13 &% '$ q q q q q q q q q q

Ca u0Cb

q

v0 u0 u 0 1

Fig.32D131

&% '$ q q q q q q q q q q

Ca u0Cb

q

v0 u0 u

0 1

Fig.33D132

&% '$ q

qq q q q q

Ca u0Cb

p

Fig.34D1320

&% '$ q

qq q q q q

q

Ca u0Cb

p−1

Fig.35 D14 &% '$ q

qq q q q q q q q q q q v1 Ca u0Cb

p

Fig.36B2µ(a+b+p−1, p)

&% '$ q

qq q q q q q q q q q q qq v2u2

Ca u0Cb

p−1

Fig.37Bµ2(a+b+p−1, p−1)

Obviously, D13−v ∈ B2(n−1, p) and D13−v−u ∈

B2(n2, p). In the following, the two items on the right

of equal will be compared, respectively. If we want to get B2

µ(n−1, p)≺D13−v andB2µ(n−2, p)≺D13−v−u, we

need to prove thatB2

µ(n−1, p)≺B2(n−1, p)andBµ2(n−

2, p) ≺ B2(n2, p). We show the result by induction

on n. Assume that the result holds for small n, then B2

µ(n−1, p)≺B2(n−1, p)and Bµ2(n−2, p)≺B2(n−

2, p). Note thatdG(v, Ca,b)≥3, andd(u) = d(u1) = 2.

Assume that the number of pendent vertices as p will not change even though the order of graph G changes constantly. There are at least two vertices except two cycles and pendent vertices, son≥a+b+p+ 1.

&% '$ q

q q q q q q q q q q q q q q q q q q q m vu u1

Ca u0Cb

Fig.38D15 &% '$ q

q q q q q q q q q q q q q qq q qq q m vu u1

Ca u0Cb

Fig.39D150

&% '$ q

qq q q q q q q q q q q qq v Ca u0Cb

p−m+ 1

Fig.40B2

µ(n−m−1, p−m+ 1)

&% '$ q

q q q q q q q q q q q q q qq q qq q m vu u1 q q q q

Ca u0Cb

Fig.41D16 &% '$ q

qq q q q q q v u q q q q q

Ca u0Cb

Fig.42D17 &% '$ q

q q q q q q q q q q u qq q q q

v m

Ca u0 Cb

q q q

Fig.43D18

ForB2

µ(n, a, b, p)andD13, by Lemma 1, we have

bi(Bµ2(n, p)) =bi(Bµ2(n−1, p)) +bi−2(B2µ(n−2, p)),

bi(D13) =bi(D13−v) +bi−2(D13−v−u).

(1)Ifn−(a+b−1)−p= 2, thenn=a+b+p+ 1. Suppose that G ∼= D131 (the pendent edges are not

shown all in Fig.32) sinceG6∼=B2

µ(a+b+p+1, p). We can getV(D13−v0) =a+b+pandD13−v0 ∈B2(a+b+p, p).

We use Quasi-Order method to compareB2

µ(a+b+p, p) andD131−v0. By Lemma 1, we get

bi(Bµ2(a+b+p, p)) =bi(B2µ(a+b+p−1, p))

+bi−2(Bµ2(a+b+p−2, p−1))

and

bi(D131−v0) =bi(B2(a+b+p−1, p))

+bi−2(B2(a+b+p−2, p−1).

Since

Bµ2(a+b−1 +p, p)=∼Bθ2(a+b−1 +p, p),

B2µ(a+b+p−2, p−1)=∼Bθ2(a+b+p−2, p−1).

IAENG International Journal of Applied Mathematics, 47:1, IJAM_47_1_15

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By Theorem 3, we can obtain that Bµ2(a+b−1 +p, p)≺B

2

(a+b−1 +p, p),

and

B2µ(a+b+p−2, p−1)≺B2(a+b+p−2, p−1),

so we haveBµ2(a+b+p, p)≺D131−v0, that isBµ2(a+ b+p, p)≺B2(a+b+p, p). Thus, forn=a+b+p+ 1, we have Bµ2(a+b+p, p)≺B2(a+b+p, p), i. e.,

B2µ(n−1, p)≺B2(n−1, p).

On the basis above, to add one vertex to graph D131

but the number of pendent vertices will not change, there exist two methods: lengthening the pendent path which contains v0 and u0 on D131 or other pendent

path. Without loss of generality, assume that we add one vertex such that the graph has the same pendent vertices, then we obtainG∼=D132 orG∼=D1320, where

D132, D1320∈B2(a+b+p+ 2, p).

(2) Ifn−(a+b−1)−p= 3, thenn=a+b+p+ 2, so it is not difficult to see that

V(D132−v0) =a+b+p+ 1,

D132−v0∈B2(a+b+p+ 1, p),

V(D1320−v0) =a+b+p+ 1,

and

D1320−v0∈B2(a+b+p+ 1, p).

ComparingB2µ(a+b+p+ 1, p)andD132−v0 as well as

B2

µ(a+b+p+ 1, p)andD1320−v0, by Lemma 1, we get

bi(Bµ2(a+b+p+ 1, p)) =bi(Bµ2(a+b+p, p))

+bi−2(Bµ2(a+b+p−1, p)),

bi(D132−v0) =bi(B2(a+b+p, p))

+bi−2(B2(a+b+p−1, p),

and

bi(D1320−v0) =bi(B2(a+b+p, p))

+bi−2(B2(a+b+p−1, p−1)).

Comparing three equations above, combining with the proof of (1), the result of the comparison between the first term of the right side of the equal isB2

µ(a+b+p, p)≺ B2(a+b+p, p).

For the second term of the right side of the equal, since Bµ2(a+b−1 +p, p)=∼Bθ2(a+b−1 +p, p),

by Lemma 1, we getB2

µ(a+b−1 +p, p)≺B2(a+b+ p−1, p).

ForBµ2(a+b+p−1, p)andB2(a+b+p−1, p−1), by Theorem 1, we have

B2µ(a+b+p−1, p−1)≺B2(a+b+p−1, p−1).

Now, we need only to prove that

Bµ2(a+b+p−1, p)≺Bµ2(a+b+p−1, p−1).

From Lemma 1,we can get bi(Bµ2(a+b+p−1, p))

=bi(B2θ(a+b+p−2, p−1)) +bi−2(Pa−1∪Pb−1)

and

bi(B2(a+b+p−1, p−1))

=bi(Bθ2(a+b+p−2, p−1))

+bi−2(B2(a+b+p−3, p−2)).

SincePa−1∪Pb−1is a proper subgraph ofB2(a+b+p− 3, p−2), the relationship on the second term of the right side of the equal is

Pa−1∪Pb−1≺B2(a+b+p−3, p−2),

so

Bµ2(a+b+p−1, p)≺B2(a+b+p−1, p−1).

Thus, forn=a+b+p+ 2, we obtain that Bµ2(a+b+p+ 1, p)≺B2(a+b+p+ 1, p),

i. e.,

B2µ(n−1, p)≺B2(n−1, p).

(3) Ifn−(a+b−1)−p=N−1, thenn=a+b+p+N−2. Setn1=n, assume that the theorem holds forn1, i. e.,

we have

Bµ2(n1−2, p)≺B2(n1−2, p),

and

Bµ2(n1−1, p)≺B2(n1−1, p).

Suppose thatn−(a+b−1)−p=N, thenn=a+b+p+

N−1. Setn2=n. SinceV(G−v) =n2−1, without loss

of generality, assume thatG∼=D13 (the pendent pathes

are not shown all in the Fig.31). Obviously, D13−v ∈

B2(n

2−1, p). ComparingBµ2(n2−1, p)withD13−v, by

Lemma 1, we have bi(Bµ2(n2−1, p))

=bi(Bµ2(n2−2, p)) +bi−2(Bµ2(n2−3, p)),

and

bi(D13−v)

=bi(B2(n2−2, p)) +bi−2(B2(n2−3, p)).

Due ton2=n1+ 1, we can get

B2

µ(n2−2, p)∼=Bµ2(n1−1, p),

B2(n

2−2, p)∼=B2(n1−1, p),

B2

µ(n2−3, p)∼=Bµ2(n1−2, p),

and

B2(n2−3, p)=∼B2(n1−2, p).

By induction hypothesis, we have

Bµ2(n1−1, p)≺B2(n1−1, p),

and

Bµ2(n1−2, p)≺B2(n1−2, p).

IAENG International Journal of Applied Mathematics, 47:1, IJAM_47_1_15

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Therefore,

Bµ2(n2−2, p)≺B2(n2−2, p),

and

Bµ2(n2−3, p)≺B2(n2−3, p)),

that is to say,

B2µ(n−2, p)≺B2(n−2, p),

and

B2µ(n−1, p)≺B2(n−1, p).

So

Bµ2(n−1, p)≺D13−v.

According to the induction above, we have Bµ2(n−1, p)≺D13−v,

and

Bµ2(n−2, p)≺D13−v−u,

that is,

bi(Bµ2(n−1, p))< bi(D13−v),

and

bi(Bµ2(n−2, p)< bi(D13−v−u).

Thus,B2µ(n, p)≺D13and then the result is obtained.

Subcase 2.1.1.2. d(u1)≥3.

Suppose that G∼=D14, where D14 is the graph with n

vertices and p pendent vertices and a part of pendent vertices and a pendent path are shown in Fig.35. For B2

µ(n, p)andD14, we have

bi(Bµ2(n, p)) =bi(Bµ2(n−1, p)) +bi−2(B2µ(n−2, p)), bi(D14) =bi(D14−v) +bi−2(D14−v−u).

Obviously, D14−v ∈ B2(n−1, p) and D14−v−u ∈

B2(n2, p1). Similar as the subcase 2.1.1.1 and

subcase 1.2, we have B2

µ(n−1, p) ≺ B2(n−1, p), and B2

µ(n−2, p−1) ≺B2(n−2, p−1). SoBµ2(n−1, p)≺ D14−v,Bµ2(n−2, p−1)≺D14−v−u. Hence the problem

is turned into showing B2

µ(n−2, p)≺B2µ(n−2, p−1). (i)Forn−2−(a+b−1 +p) = 0, then B2

µ(n−2, p)∼= B2θ(n−2, p).

By Lemma 1, we get

B2θ(n−2, p) =bi(B2θ(n−3, p−1)) +bi−2(Pa−1∪Pb−1),

B2µ(n−2, p−1) =bi(Bθ2(n−3, p−1))+bi−2(B2θ(n−4, p−2)).

It is not difficult to find that Pa−1 ∪Pb−1 is a proper

subgraph ofB2

θ(n−4, p−2), so

B2µ(n−2, p)≺Bµ2(n−2, p−1).

(ii)Forn−2−(a+b−1 +p)≥1. By Lemma 1, we get bi(B2µ(n−2, p)) =bi(Bµ2(n−2, p)−v1)

+bi−2(B2µ(n−2, p)−v1−u1),

bi(Bµ2(n−2, p−1)) =bi(Bµ2(n−2, p−1)−v2)

+bi−2(B2µ(n−2, p−1)−v2−u2).

Note thatB2

µ(n−2, p)−v1∼=Bµ2(n−2, p−1)−v2. We

have

bi(B2µ(n−2, p)−v1) =bi(B2µ(n−2, p−1)−v2).

Since

B2µ(n−2, p)−v1−u1=Pa−1∪Pb−1∪Pn−a−b−p,

and Pa−1∪Pb−1 ∪Pn−a−b−p is a proper subgraph of B2

µ(n−2, p−1)−v2−u2, we obtain that

Bµ2(n−2, p)−v1−u1≺Bµ2(n−2, p−1)−v2−u2,

thus

B2µ(n−2, p)≺Bµ2(n−2, p−1).

In summary, we getB2

µ(n, p)≺D14.

Subcase 2.1.2. d(u)≥3.

Subcase 2.1.2.1. d(u1) = 2.

Suppose that G ∼= D15 where D15 is the graph with n

vertices andppendent vertices that are adjacent tou1,

and a part of pendent vertices and pendent path are shown in Fig.38.

ForB2

µ(n, a, b, p)andD15, by Lemma 1, we have

bi(Bµ2(n, p)) =bi(Bµ2(n, p)−v1)+bi−2(Bµ2(n, p)−v1−u0)

=bi(B2µ(n−1, p−1)) +bi−2(Pa−1∪Pb−1∪Pn−a−b−p+2),

bi(D15) =bi(D15−v) +bi−2(D15−v−u).

Obviously, D15−v ∈ B2(n−1, p−1), and all vertices

are pendent vertices except one pointu1 in N(u).

Suppose that there are m pendent vertices adjacent to u, then|N(u)|=m+ 1(please seeD0

15 in Fig.39). Let

D015−v−u=G0∪(m−1)P1. ThenG0 ∈B2(n−m− 1, p−m+ 1). Similar as subcase 1.2, we have

Bµ2(n−1, p−1)≺B2(n−1, p−1),

and

Bµ2(n−m−1, p−m+ 1)≺B2(n−m−1, p−m+ 1),

so we obtain thatBµ2(n−1, p−1)≺D150 −vandBµ2(n− m−1, p−m+1)≺D015−v−u. What remains is to prove

thatPa−1∪Pb−1∪Pn−a−b−p+2≺B2µ(n−m−1, p−m+1). SinceG6∼=Qa,b,p

n , p−m≥1.

(i) Forp=m+1,B2

µ(n−m−1, p−m+1)∼=B2µ(n−p,2), then by Lemma 1, we can get

bi(B2µ(n−m−1, p−m+ 1))

=bi(Bµ2(n−p,2))

=bi(Bµ2(n−p−1,1))

+bi−2(Pa−1∪Pb−1∪Pn−p−a−b),

and

bi(Pa−1∪pb−1∪Pn−a−b−p+2) =bi(Pa−1∪Pb−1∪Pn−a−b−p+1) +bi−2(Pa−1∪Pb−1∪Pn−a−b−p).

IAENG International Journal of Applied Mathematics, 47:1, IJAM_47_1_15

(9)

Comparing the first term of the right side of the equal, it is not difficult to find thatPa−1∪Pb−1∪Pn−a−b−p+1

is a proper subgraph ofB2

µ(n−p−1,1), so we have Pa−1∪Pb−1∪Pn−a−b−p+1≺Bµ2(n−p−1,1).

Therefore,

Pa−1∪Pb−1∪Pn−a−b−p+2≺B2µ(n−m−1, p−m+ 1)

holds.

(ii) Forp≥m+ 2,by Lemma 1, we get bi(B2µ(n−m−1, p−m+ 1))

=bi(Bµ2(n−m−1, p−m+ 1)−v)

+bi−2(Bµ2(n−m−1, p−m+ 1)−v−u0) =bi(Bµ2(n−m−2, p−m))

+bi−2(Pa−1∪Pb−1∪Pn−a−b−p),

and

bi(Pa−1∪pb−1∪Pn−a−b−p+2) =bi(Pa−1∪Pb−1∪Pn−a−b−p+1) +bi−2(Pa−1∪Pb−1∪Pn−a−b−p)

holds for alli≥0. Therefore,

Pa−1∪Pb−1∪Pn−a−b−p+2 ≺B2

µ(n−m−1, p−m+ 1).

Subcase 2.1.2.2. d(u1)≥3.

Without loss of generality, assume that G∼=D16 where

D16is the graph withnvertices andppendent vertices,

and a part of pendent vertices and pendent path are shown in Fig.41. Since d(u1) ≥ 3, p ≥ m+ 1.

Fur-thermore,D16−v∈B2(n−1, p−1) andD16−v−u∈

B2(nm1, pm).The problem is transformed into the

similar situation above, so the corresponding conclusion is still established.

In summary, the result in Subcase 2.1 is proved com-pletely.

Subcase 2.2. dG(v, Ca,b) = 2.

Subcase 2.2.1. d(u) = 2.

Without loss of generality, assume that G∼=D17 where

D17is the graph withnvertices andppendent vertices,

and a part of pendent vertices and pendent path are shown in Fig.42.

Obviously, D17−v ∈ B2(n−1, p) and D17−v−u ∈

B2(n2, p1). The problem is transformed into the

above similar situation. Similar as Subcase 2.1.1.2, we have the corresponding conclusion.

Subcase 2.2.2. d(u)≥3.

Without loss of generality, assume that G∼=D18 where

D18is the graph withnvertices andppendent vertices,

and a part of pendent vertices and pendent paths are shown in Fig.43. Assume that G0 is discussed as above. Due toG6∼=Qa,b,pn ,p≥m+ 1. Obviously, we have

D18−v∈B2(n−1, p−1),

and

D18−v−u∈B2(n−m−1, p−m),

the problem is transformed into the subcases above. Sim-ilar as Subcase 1.2, we can get the corresponding conclu-sion.

The proof is completed.

References

[1] L. Chen, J. Meng, Y. Tian, F. Xia, Restricted con-nectivity of Cartesian product graphs, IAENG In-ternational Journal of Applied Mathematics, 46:1, pp.58-63, 2016.

[2] G. V. Ghodasra, S. G. Sonchhatra, Further results on 3-equitable labeling, IAENG International Jour-nal of Applied Mathematics, 45:1, pp.1-15, 2015. [3] I. Gutman, Acyclic conjugated molecules, trees and

their energies, J. Math. Chen. 2 (1987) 123-143. [4] I. Gutman, Total -electron energy of benzenoid

hy-drocarbon, Topic. Curr. C-hem. 162 (1992) 29-63. [5] H. Hua, M. Wang, Unicycle graphs with given

num-ber of pendent vertices and minimal energy, Linear Algebra Appl. 426 (2007) 478-489.

[6] H. Hua, On minimal energy of unicycle graphs with prescribed girth and pendent vertices, MATCH Commun. Math. Comput. Chem. 57 (2007) 351-361. [7] Y. Hou, Unicycle graphs with minimal energy, J.

Math. Chem. 3 (2001) 163-168.

[8] Y. Hou, Bicyclic graphs with minimal energy, Linear and Multilinear A lgebra. 49 (2001) 347-354. [9] Y. Hou, I. Gutman, C. Woo, Unicyclic graphs with

maximal energy, Linear Algebra Appl. 356 (2002) 27-36.

[10] X. Li, Y. Shi and I. Gutman, Graph energy, Springer New York Heidelberg Dordrec-t London, 2012. [11] X. Li, J. Zhang, On bicyclic graphs with maximal

energy, Linear Algebra Appl. 427 (2007) 87-98. [12] J. Liu and X. Zhang, Cube-connected complete

graphs, IAENG International Journal of Applied Mathematics, 44:3, pp.134-136, 2014.

[13] Y. Yang, B. Zhou, Minimal energy of bicyclic graphs of a given diameter, MATCH Commun. Math. Com-put. Chem. 59 (2008) 321-342.

[14] F. Zhang, H. Li, On acyclic conjugated molecules with minimal energies, Discr. Appl. Math. 92 (1999) 71-84.

[15] F. Zhang, Z. Li, L. Wang, Hexagonal chuains with maximal totalπ-electr on energy, Chem. Phys. Lett. 337 (2001) 125-130.

IAENG International Journal of Applied Mathematics, 47:1, IJAM_47_1_15

References

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