The Generalized Wiener Polarity Index of Some Graph
Operations
YANG WU,FUYI WEI•••• AND ZHEN JIA
Department of Mathematics, South China Agricultural University, Guangzhou, P. R. China, 510642
(ReceivedOctober 13, 2013; Accepted November 16, 2013)
A
BSTRACTLet G be a simple connected graph. The generalized polarity Wiener index of
G is defined as the number of unordered pairs of vertices of G whose distance is k. Some formulas are obtained for computing the generalized polarity Wiener index of the Cartesian product and the tensor product of graphs in this article.
Keywords: Wiener index, Cartesian product, tensor product.
1.
I
NTRODUCTIONLet G be a simple connected graph, with n vertices and m edges. The set
1
( ) { n}
V G = v,...,v denotes the vertex set of G while E G( )={e1,...,en} denotes it’s edge set. When we mention vi =vj it means the two vertices vi and vj are identical. The distance
( )
G i j
d v v, between two vertices vi and vj in G is the length of a shortest path between the two vertices. The diameter of G is the greatest distance between two vertices of G, denoted by D G( ). The Wiener index W G( ) and the Wiener polarity index W GP( ) are, respectively, defined as [1]
• Research supported by National Natural Science Foundation of China (No.11201156).
1 ( )
( ) ( )
i j
G i j i j n
v v V G
W G d v v
≤ < ≤ , ∈
=
∑
,( ) |{( )| ( ) 3 ( )}|
P G
W G = u v d, u v, = , , ∈u v V G
by H. Wiener in the mid−20th century. Later in 1988, H. Hosoya [2] introduced the Hosoya(or wiener) polynomial
( )
1 1
( ) ( ) ( )
D G
k k
k k
H G x d G k x d G k x
≥ =
, =
∑
, =∑
,where (d G k, ) denotes the number of unordered pairs of vertices whose distance is equal to
k. Actually, H G x( , ) provided a generalized way of studying the wiener index and the wiener polarity index for (d G, =3) W Gp( ) and
1
( )
( ) x
dH G x
W G dx =
, | = .
Motivated by the definition of W GP( ), Ilić [3] recently defined (d G k, ) to be the generalized Wiener polarity index W Gk( ) for its significance. As a matter of fact, Gutman [4] showed that (d G k, ) is closely related with the first and the second Zagreb index M1
and M2. For example [4],
3 2
1 ) 2 ,
(G = M1−m−
d
n
and
d(G,3) = M2−M1 + m− 4n
where m is the number of edges, while 3
n
and 4n
denotes the number of triangles andthe number of quadrangles respectively. However, the relation between (d G k, ) and Zagreb indices has not yet been studied. The Cartesian product G H× of two graphs G and H is defined as:
1 1 2 2 1 2 1 2 1 2 1 2
( ) {( )( )| ( ) ] [ ( )}
E G H× = u v, u v u u, ∈E G and v =v or u =u and v v ∈E H
and the tensor product G⊗H of graphs G and H is defined as
1 1 2 2 1 2 1 2
( ) {( )( )| ( ) ( )}
E G⊗H = u v, u v u u, ∈E G and v v ∈E H .
More details about graph operations and generalized wiener polarity index can be found in articles [7, 8, 9].
2.
T
HEG
ENERALIZEDW
IENERI
NDEX OF THEC
ARTESIANP
RODUCTG
××××
H
Before we turn to our main theorem of this section, there is a lemma to introduce
Lemma 2.1. [5] Let G1 and G2 be two simple connected graphs, then
1 2 1 2 1 2 2 1
( ) 2 ( ) ( ) | | ( ) | | ( ).
H G +G x, = H G x H G x, , +G H G x, +G H G x,
Since W Gk( )=0 when k >D G( ), we only consider k≤D G( ) in this paper. Now we are ready to present our main theorem of the section
Theorem 2.1. Let G1 and G2 be two simple connected graphs, then
1
1 2 1 2 2 1 1 2
1
( ) ( ) | ( ) | ( ) | ( ) | 2 ( ) ( )
k
k k k i k i
i
W G G W G V G W G V G W G W G
−
− =
× = + +
∑
Proof. According to Lemma 2.1 and direct computation, we have
1 2
1
1 2 1 2 2 1
1
1
1 2 2 1 1 2
1
( ) ( )
2 ( ) ( ) | | ( ) | | ( )
( ) | ( ) | ( ) | ( ) | 2 ( ) ( ) k
k
i
k
k k i k i
i
W G H d G G k
d G i d G k i G d G k G d G k
W G V G W G V G W G W G
−
=
−
− =
× = + ,
= , , − + , + ,
= + +
∑
∑
Thus the Theorem holds. As a direct application to Theorem 2.1, it follows that
Corollary 2.1. Let G be a simple connected graph, then
1
1
( ) 2 ( ) | ( ) | 2 ( ) ( ) k
k k i k i
i
W G G W G V G W G W G
−
− =
× = +
∑
The graphs U =Pn×Cm and O=Cn×Cm are usually called C4-nanotube and C4 -nanotorus, where Pn denotes a path whose length is n−1 and Cm a cycle with m vertices.
4
C −nanotube and C4−nanotorus are studied widely in materialogy and quantum chemistry for their extraordinary thermal conductivity and mechanical and electrical properties. By applying Theorem 2.1 we obtain:
2
( ) 2 min{ 1 }
2
( ) 2 min{ }
2 2
k
k
n W U kmn mk k n
n m W O kmn k
= − , < − ,
= , < ,
Proof. By Theorem 2.1 we have
1
1
1
1
2
( ) ( ) | ( ) | ( ) | ( ) | 2 ( ) ( )
( ) 2 ( )
( ) ( 1)(2 )
2
k
k k n m k m n i n k i m
i k
i
W U W P V C W C V P W P W C
n k m mn n i m
n k m mn k n k m kmn mk
−
− =
−
=
= + +
= − + + −
= − + + − −
= −
∑
∑
and
1
1
1
1
( ) ( ) | ( ) | ( ) | ( ) | 2 ( ) ( )
2 2
2 2( 1)
2
k
k k n m k m n i n k i m
i k
i
W O W C V C W C V C W C W C
mn mn
mn k mn kmn
−
− =
−
=
= + +
= +
= + −
=
∑
∑
The result follows.
Though Wk
(
Pn×Cm)
(
min{n− ,1 n2 }≤ ≤k max{n− ,1 2n })
and W Ck
(
n×Cm)
(
min{ 2 2 } max{ 2 2 })
n , m ≤ ≤k n , m
are not considered in Corollary 2.2, we can discussed them in a similar way by applying Theorem 2.1.
3.
T
HEG
ENERALIZEDW
IENERI
NDEX OF THET
ENSORP
RODUCTG
⊗
⊗
⊗
⊗
H
In this section, we compute the generalized Wiener polarity index of the tensor product of graphs. A prepare work shall be introduced at first.
Lemma 3.1.[6] Let G1 and G2 be two simple connected graphs, and u=(u v1, 1),
2 2 1 2
( ) ( ) ( )
v= u v, ∈V G ×V G , then
1 2( ) max{ 1( 1 2) 2( 1 2)}
G G G G
d ⊗ u v, = d u u, ,d v v, .
Now we are ready for
1
1 2 1 2 2 1 1 2
1
2 1
1
( ) ( ) | ( ) | ( ) | ( ) | 2 ( ) ( )
2 ( ) ( )
k
k k k k i
i k
k i
i
W G G W G V G W G V G W G W G
W G W G
−
=
=
⊗ = + +
+
∑
∑
Proof. Let u=(u v1, 1), v=(u v2, 2)∈V G( 1)×V G( 2). According to Lemma 3.1, we have
1 2 1 2
1 2 1 2
1 2 1 2
1 2 1 2
1 2 1 2
( ) ( ) 0
( ) 0 ( )
( ) if and only if ( ) ( )
( ) ( )
( ) ( )
d u u k d v v
d u u d v v k
d u v k d u u k d v v k
d v v k d u u k
d v v k d u u k
, = , , =
, = , , =
, = , = , , <
, = , , <
, = , , =
By summing up the numbers of five types of pairs of vertices above, we have
1 2 1 2 1 2 2
1 2 1 2 1
1
1 2 1 2
1
1 2 1 2
1
1
1 2 2 1 1 2
1
( ) | {( ) | ( ) ( )} |
|{( ) | ( ) ( )} |
{( ) | ( ) ( ) } |
{( ) | ( ) ( ) } |
( ) | ( ) | ( ) | ( ) | 2 ( ) ( )
|
|
kk
i k
i
k
k k k i
i
W G G u v d u u k v v V G u v d v v k u u V G
u v d u u k d v v i
u v d v v k d u u i
W G V G W G V G W G W G
−
=
=
−
=
× = , , = , = ∈
+ , , = , = ∈
+ , , = , , =
+ , , = , , =
= + +
∑
∑
∑
2 1
1
2 ( ) ( )
k
k i
i
W G W G
=
+
∑
Therefore, the theorem is established. A direct deduction of Theorem 3.1 is
Corollary 3.1. Let G be a simple connected graph, then
1
2
1
( ) 2 ( ) | ( )| 4 ( ) ( ) 2 ( ) k
k k k i k
i
W G G W G V G W G W G W G
−
=
⊗ = +
∑
+And as an application of Theorem 3.1 we have:
2
( ) 4 3 min{ 1 }
2
( ) 4 min{ }
2 2
k
k
n W U kmn mk k n
n m W O kmn k
= − , < − ,
= , < ,
Proof. By Theorem 3.1 we have
( )
( )
(
)
(
)
(
)
1 1 1 1 1 1 2( ) ( ) | ( ) | ( ) | ( ) | 2 ( ) ( )
2
( ) 2 2
( ) 2 ( 1) (2 1)
4 3
k
k k n m k m n k n i m
i k
k m i n
i
k k
i i
W U W P V C W C V P W P W C
W C W P
n k m mn n k m m n i
n k m mn m n k k mk n k kmn mk − = = − = = = + + + = − + + − + − = − + + − − + − − = −
∑
∑
∑
∑
and kmn n m m n mn C W C W C W C W C V C W C V C W O W k i k i k i n i m k k i m i n k n m k m n k k 4 2 2 2 ) ( ) ( 2 ) ( ) ( 2 ) ( ) ( ) ( ) ( ) ( 1 1 1 1 1 1 = + + = + + + =∑
∑
∑
∑
= − = = − =The result follows. Acknowledgement. The author would like to thank the National Natural Science Foundation of China (No.11201156) for supporting this research.
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−
Theory, Mathematical Chemistry Monograph 12 (2012), University of Kragujevac, 49–70.5. D. Stevanović, Hosoya polynomial of composite graphs, Discrete Math., 235 (1−3) (2001), 237–244.
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