1 Introduction

Let C be a nonempty closed convex subset of a real Hilbert space H. Recall that the mapping T:CC is said to be nonexpansive if TxTyxy for all x,yC. In 2008, Kohsaka and Takahashi [1] introduced the nonspreading mapping in Hilbert spaces H which is defined as follows: 2 T x T y 2 T x y 2 + x T y 2 , x,yC. Following the terminology of Browder and Petryshyn [2], in 2011, Osilike and Isiogugu [3] introduced that the mapping T:CC is called a κ-strictly pseudononspreading mapping if there exists κ[0,1) such that

T x T y 2 x y 2 +κ ( I T ) x ( I T ) y 2 +2xTx,yTy

for all x,yC. Clearly every nonspreading mapping is κ-strictly pseudononspreading; see, for example, [3]. A point xC is called a fixed point of T if Tx=x. The set of fixed points of T is denoted by F(T)={xC:Tx=x}.

Let A:CH. The variational inequality problem is to find a point uC such that

Au,vu0
(1.1)

for all vC. The set of solutions of (1.1) is denoted by VI(C,A).

The variational inequality has emerged as a fascinating and interesting branch of mathematical and engineering sciences with a wide range of applications in industry, finance, economics, social, ecology, regional, pure and applied sciences; see, e.g., [47].

A mapping A of C into H is called α-inverse strongly monotone (see [8]) if there exists a positive real number α such that

xy,AxAyα A x A y 2

for all x,yC.

In 2003, Takahashi and Toyoda [9] proved a convergence theorem for finding a common element of the set of fixed points of nonexpansive mappings and the set of solutions of variational inequalities for α-inverse strongly monotone mappings as follows.

Theorem 1.1 Let K be a closed convex subset of a real Hilbert space H. Let α>0. Let A be an α-inverse strongly monotone mapping of K into H, and let S be a nonexpansive mapping of K into itself such that F(S)VI(K,A). Let { x n } be a sequence generated by x 0 K and

x n + 1 = α n x n +(1 α n ) SP C (I λ n A) x n

for every n=0,1,2, , where { λ n }[a,b] for some a,b(0,2α) and { α n }[c,d] for some c,d(0,1). Then { x n } converges weakly to z=F(S)VI(K,A), where z= lim n P F ( S ) VI ( K , A ) x n .

Recently, Osilike and Isiogugu [3] proved strong convergence theorems for strictly pseudononspreading mappings as follows.

Theorem 1.2 Let C be a nonempty closed convex subset of a real Hilbert space and let T:CC be a κ-strictly pseudononspreading mapping with a nonempty fixed point set F(T). Let β[k,1) and let { α n } n = 1 be a real sequence in [0,1) such that lim n α n =0 and n = 1 α n =. Let uC and let { x n } n = 1 and { z n } n = 1 be sequences in C generated from an arbitrary x 1 C by

{ x n + 1 = α n u + ( 1 α n ) z n , n 1 , z n = 1 n k = 0 n 1 T β k x n , n 1 ,

where T β =βI+(1β)T. Then { x n } n = 1 and { z n } n = 1 converge strongly to P F ( T ) u, where P F ( T ) :HF(T) is the metric projection of H onto F(T).

Theorem 1.3 Let C be a nonempty closed convex subset of a real Hilbert space and let T:CC be a κ-strictly pseudononspreading mapping with a nonempty fixed point set F(T). Let β[k,1) and let T β =βI+(1β)T. Let { α n } n = 1 be a real sequence in [0,1) satisfying the conditions

  1. (C1)

    lim n α n =0 and

  2. (C2)

    n = 1 α n =.

Let uC be a fixed anchor in C and let { x n } n = 1 be a sequence in C generated from an arbitrary x 1 C by

x n + 1 = α n u+(1 α n ) T β x n ,n1.
(1.2)

Then { x n } n = 1 converges strongly to a fixed point p of T.

Inspired and motivated by [3] and the research in the same direction, we prove a strong convergence theorem of κ-strictly pseudononspreading mappings and introduce the methods for finding a common element of the set of fixed points of a κ-strictly pseudononspreading mapping and a finite family of the set of solutions of variational inequality problems. Moreover, by using our main result, we prove an interesting theorem involving an iterative scheme for finding a common element of the set of fixed points of κ-strictly pseudononspreading mappings and a finite family of the set of fixed points of κ i -strictly pseudocontractive mappings.

2 Preliminaries

We need the following lemmas to prove our main result. Let H be a real Hilbert space and let C be a nonempty closed convex subset of H, let P C be the metric projection of H onto C, i.e., for xH, P C x satisfies the property

x P C x= min y C xy.

The following characterizes the projection P C .

Lemma 2.1 (See [10])

Given xH and yC. Then P C x=y if and only if the following inequality holds:

xy,yz0,zC.

Lemma 2.2 (See [10])

Let H be a Hilbert space, let C be a nonempty closed convex subset of H and let A be a mapping of C into H. Let uC. Then, for λ>0,

u= P C (IλA)uuVI(C,A),

where P C is the metric projection of H onto C.

Lemma 2.3 (See [11])

Let { s n } be a sequence of nonnegative real numbers satisfying

s n + 1 =(1 α n ) s n + δ n ,n0,

where { α n } is a sequence in (0,1) and { δ n } is a sequence such that

  1. (1)

    n = 1 α n =,

  2. (2)

    lim sup n δ n α n 0 or n = 1 | δ n |<.

Then lim n s n =0.

Lemma 2.4 (See [11])

Let { s n } be a sequence of nonnegative real numbers satisfying

s n + 1 =(1 α n ) s n + α n β n ,n0,

where { α n }, { β n } satisfy the conditions

  1. (1)

    { α n }[0,1], n = 1 α n =,

  2. (2)

    lim sup n β n 0 or n = 1 | α n β n |<.

Then lim n s n =0.

Lemma 2.5 (See [12])

Let E be a uniformly convex Banach space, let C be a nonempty closed convex subset of E and let S:CC be a nonexpansive mapping. Then IS is demi-closed at zero.

In 2009, Kangtunykarn and Suantai [13] defined an S-mapping and proved their lemmas as follows.

Definition 2.1 Let C be a nonempty convex subset of a real Banach space. Let { T i } i = 1 N be a finite family of nonexpanxive mappings of C into itself. For each j=1,2,,N, let α j =( α 1 j , α 2 j , α 3 j )I×I×I, where I[0,1] and α 1 j + α 2 j + α 3 j =1. Define the mapping S:CC as follows:

U 0 = I , U 1 = α 1 1 T 1 U 0 + α 2 1 U 0 + α 3 1 I , U 2 = α 1 2 T 2 U 1 + α 2 2 U 1 + α 3 2 I , U 3 = α 1 3 T 3 U 2 + α 2 3 U 2 + α 3 3 I , U N 1 = α 1 N 1 T N 1 U N 2 + α 2 N 1 U N 2 + α 3 N 1 I , S = U N = α 1 N T N U N 1 + α 2 N U N 1 + α 3 N I .
(2.1)

This mapping is called an S-mapping generated by T 1 , T 2 ,, T N and α 1 , α 2 ,, α N .

Lemma 2.6 Let C be a nonempty closed convex subset of strictly convex Banach space. Let { T i } i = 1 N be a finite family of nonexpanxive mappings of C into itself with i = 1 N F( T i ) and let α j =( α 1 j , α 2 j , α 3 j )I×I×I, j=1,2,3,,N, where I=[0,1], α 1 j + α 2 j + α 3 j =1, α 1 j (0,1) for all j=1,2,,N1, α 1 N (0,1], α 2 j , α 3 j [0,1) for all j=1,2,,N. Let S be a mapping generated by T 1 , T 2 ,, T N and α 1 , α 2 ,, α N . Then F(S)= i = 1 N F( T i ).

Remark 2.7 It is easy to see that the mapping S is a nonexpansive mapping.

Lemma 2.8 Let C be a nonempty closed convex subset of H. Let T:CC be a κ-strictly pseudononspreading mapping with F(T). Then F(T)=VI(C,(IT)).

Proof It is easy to see that F(T)VI(C,(IT)). Put A=IT. Let zVI(C,A) and z F(T). Since zVI(C,A), we have

y z , ( I T ) z 0,yC.
(2.2)

Since T is a κ-strictly pseudononspreading mapping, we have

T z T z 2 = ( I A ) z ( I A ) z 2 = ( z z ) ( A z A z ) 2 = z z 2 + A z A z 2 2 z z , A z A z = z z 2 + A z 2 2 z z , A z z z 2 + κ ( I T ) z ( I T ) z 2 + 2 z T z , z T z = z z 2 + κ ( I T ) z 2 ,

which implies that

1 κ 2 z T z 2 z z , ( I T ) z = z z , ( I T ) z 0 .

Then we have zF(T). Therefore VI(C,(IT))F(T). Hence VI(C,(IT))=F(T). □

Remark 2.9 From Lemmas 2.2 and 2.8, we have F(T)=F( P C (Iλ(IT))), λ>0.

Example 2.1 Let T:[1,1][1,1] be defined by

Tx={ x + 4 5 if  x [ 0 , 1 ] , 4 x 5 if  x [ 1 , 0 ) .

To see that T is κ-strictly pseudononspreading, if for all x,y[0,1], then we have Tx= x + 4 5 and Ty= y + 4 5 . From the definition of T, we have

| T x T y | 2 = | x + 4 5 y + 4 5 | 2 = 1 25 | x y | 2 , | ( I T ) x ( I T ) y | 2 = | x T x ( y T y ) | 2 = | x x + 4 5 ( y y + 4 5 ) | 2 = | 4 x 4 5 4 y 4 5 | 2 = | 4 x 4 y 5 | 2 = 16 25 | x y | 2 0

and

2 x T x , y T y = 2 x x + 4 5 , y y + 4 5 = 2 4 x 4 5 , 4 y 4 5 = 32 25 ( x 1 ) ( y 1 ) 0 . ( Since  0 x , y 1 , ( x 1 ) ( y 1 ) 0 . )

From the above, then there exists κ[0,1) such that

| x y | 2 + κ | ( I T ) x ( I T ) y | 2 + 2 x T x , y T y | x y | 2 1 25 | x y | 2 = | T x T y | 2 .

For every x,y[1,0), we have Tx= 4 x 5 , Ty= 4 y 5 . From the definition of T, we have

| T x T y | 2 = | 4 x 5 4 y 5 | 2 = | y x 5 | 2 = 1 25 | x y | 2 , | ( I T ) x ( I T ) y | 2 = | x T x ( y T y ) | 2 = | x 4 x 5 ( y 4 y 5 ) | 2 = | 6 x 4 ( 6 y 4 ) 5 | 2 = 36 25 | x y | 2 0

and

2 x T x , y T y = 2 x 4 x 5 , y 4 y 5 = 2 6 x 4 5 , 6 y 4 5 = 8 25 ( 3 x 2 ) ( 3 y 2 ) = 8 25 ( 3 x ( 3 y 2 ) 2 ( 3 y 2 ) ) = 8 25 ( 9 x y 6 x 6 y + 4 ) > 0 . ( Since  1 x , y < 0 , 9 x y , 6 x , 6 y > 0 . )

From the above, then there exists κ[0,1) such that

| x y | 2 + κ | ( I T ) x ( I T ) y | 2 + 2 x T x , y T y > | x y | 2 1 25 | x y | 2 = | T x T y | 2 .

Finally, for every x[0,1] and y[1,0), we have Tx= x + 4 5 and Ty= 4 y 5 . From the definition of T, we have

| T x T y | 2 = | x + 4 5 4 y 5 | 2 = 1 25 | x + y | 2 , | ( I T ) x ( I T ) y | 2 = | x T x ( y T y ) | 2 = | x x + 4 5 ( y 4 y 5 ) | 2 = | 4 x 4 ( 6 y 4 ) 5 | 2 = 1 25 | 4 x 6 y | 2 0

and

2 x T x , y T y = 2 x x + 4 5 , y 4 y 5 = 2 4 x 4 5 , 6 y 4 5 = 16 25 ( x 1 ) ( 3 y 2 ) = 16 25 ( 3 y ( x 1 ) 2 ( x 1 ) ) = 16 25 ( 3 y ( x 1 ) + 2 ( 1 x ) ) 0 . ( Since  0 x 1  and  1 y < 0 , then  3 y ( x 1 ) , 2 ( 1 x ) 0 . )

From the above, then there exists κ[0,1) such that

| x y | 2 + κ | ( I T ) x ( I T ) y | 2 + 2 x T x , y T y | x y | 2 = x 2 2 x y + y 2 = x 2 + 2 x y + y 2 4 x y ( x + y ) 2 ( Since  4 x y 0 . ) 1 25 | x + y | 2 = | T x T y | 2 .

Then, for all x,y[1,1], we have

| T x T y | 2 | x y | 2 +κ | ( I T ) x ( I T ) y | 2 +2xTx,yTy

for some κ[0,1). Hence T is a κ-strictly pseudononspreading mapping. Observe that 1F(T). From Lemma 2.8, we have 1VI([1,1],IT).

3 Main results

Theorem 3.1 Let H be a real Hilbert space and let C be a nonempty closed convex subset of H. For every i=1,2,,N, let B i :CH be δ i -inverse strongly monotone mappings and let T:CC be a κ-strictly pseudononspreading mapping for some κ[0,1). Let G i :CC be defined by G i x= P C (Iη B i )x for every xC and η(0,2 δ i ) for every i=1,2,,N, and let δ j =( α 1 j , α 2 j , α 3 j )I×I×I, j=1,2,3,,N, where I=[0,1], α 1 j + α 2 j + α 3 j =1, α 1 j (0,1) for all j=1,2,,N1, α 1 N (0,1], α 2 j , α 3 j [0,1) for all j=1,2,,N. Let S:CC be the S-mapping generated by G 1 , G 2 ,, G N and δ 1 , δ 2 ,, δ N . Assume that F=F(T) i = 1 N VI(C, B i ). For every nN, i=1,2,,N, let x 1 ,uC and { x n } be a sequence generated by

x n + 1 = α n u+ β n P C ( I λ n ( I T ) ) x n + γ n S x n ,nN,
(3.1)

where { α n },{ β n },{ γ n },{ λ n }(0,1) such that α n + β n + γ n =1, β n [c,d](0,1), { λ n }(0,1κ) and suppose the following conditions hold:

  1. (i)

    lim n α n =0 and n = 0 α n =,

  2. (ii)

    n = 1 λ n <,

  3. (iii)

    n = 1 | λ n + 1 λ n |, n = 1 | γ n + 1 γ n |, n = 1 | α n + 1 α n |, n = 1 | β n + 1 β n |<.

Then the sequence { x n } converges strongly to z= P F u.

Proof Let x F. First, we show that P C (I λ n A) x n x x n x , where A=IT. From Remark 2.9, we have x F( P C (I λ n A)). From the nonexpansiveness of P C , we have

P C ( I λ n A ) x n x 2 = P C ( I λ n A ) x n P C ( I λ n A ) x 2 ( I λ n A ) x n ( I λ n A ) x 2 .
(3.2)

Since T is a κ-strictly pseudononspreading mapping and A=IT, we have

T x n T x 2 = ( I A ) x n ( I A ) x 2 = ( x n x ) ( A x n A x ) 2 = x n x 2 2 x n x , A x n + A x n 2 x n x 2 + κ A x n A x 2 + 2 A x n , A x = x n x 2 + κ A x n 2 ,

which implies that

(1κ) A x n 2 2 x n x , A x n .
(3.3)

From (3.3), we have

( I λ n A ) x n ( I λ n A ) x 2 = ( x n x ) λ n ( A x n A x ) 2 = x n x 2 2 λ n x n x , A x n + λ n 2 A x n 2 x n x 2 λ n ( 1 κ ) A x n 2 + λ n 2 A x n 2 = x n x 2 λ n ( ( 1 κ ) λ n ) A x n 2 x n x 2 .
(3.4)

From (3.4) and (3.2), we can imply that

P C ( I λ n A ) x n x x n x .
(3.5)

Next, we will show that the mapping G i is a nonexpansive mapping for every i=1,2,,N. Let x,yH. Since B i is δ i -inverse strongly monotone and 0<η<2 δ i , for every i=1,2,,N, we have

( I η B i ) x ( I η B i ) y 2 = x y η ( B i x B i y ) 2 = x y 2 2 η x y , B i x B i y + η 2 B i x B i y 2 x y 2 2 δ i η B i x B i y 2 + η 2 B i x B i y 2 = x y 2 + η ( η 2 δ i ) B i x B i y 2 x y 2 .
(3.6)

Thus (Iη B i ) is a nonexpansive mapping for every i=1,2,,N. The proof of the above result can be also found in Imnang and Suantai [14]. From the definition of G i , we have G i = P C (Iη B i ) are nonexpansive mappings for all i=1,2,,N. Since x F, by Lemma 2.2, we have

x = G i x = P C (Iη B i ) x ,i=1,2,,N.
(3.7)

From Lemma 2.6, we have x F(S). Next, we will show that { x n } is bounded. From the definition of x n and (3.5), we have

x n + 1 x = α n ( u x ) + β n ( P C ( I λ n ( I T ) ) x n x ) + γ n ( S x n x ) α n u x + β n P C ( I λ n ( I T ) ) x n x + γ n S x n x α n u x + ( 1 α n ) x n x .
(3.8)

Put K=max{u x , x 1 x }. From (3.8) we can show by induction that x n x K, nN. This implies that { x n } is bounded and so are {S x n }, { P C (I λ n (IT)) x n }. Next, we will show that

T x n x 1 + κ 1 κ x n x .
(3.9)

Since T is κ-strictly pseudononspreading, we have

T x n x 2 x n x 2 + κ ( I T ) x n ( I T ) x 2 + 2 x n T x n , x T x = x n x 2 + κ ( x n x ) ( T x n x ) 2 = x n x 2 + κ ( x n x 2 + T x n x 2 2 x n x , T x n x ) ,

which implies that

(1κ) T x n x 2 (1+κ) x n x 2 +2κ x n x T x n x .
(3.10)

Putting A=T x n x and B= x n x in (3.10), we have

0 ( 1 κ ) A 2 ( 1 + κ ) B 2 2 κ A B = ( 1 κ ) A 2 κ A B ( ( 1 + κ ) B 2 + κ A B ) = ( 1 κ ) A 2 κ A B + A B ( ( 1 + κ ) B 2 + κ A B + A B ) = ( 1 κ ) ( A 2 + A B ) ( ( 1 + κ ) ( B 2 + A B ) ) = ( 1 κ ) A ( A + B ) ( ( 1 + κ ) B ( B + A ) ) ,

which implies that

A 1 + κ 1 κ B.
(3.11)

From (3.11) we have (3.9). Since x n x K, nN and (3.9), we have {T x n } is bounded.

Next, we will show that

lim n x n + 1 x n =0.
(3.12)

From the definition of x n , we have

x n + 1 x n α n u + β n P C ( I λ n ( I T ) ) x n + γ n S x n α n 1 u β n 1 P C ( I λ n 1 ( I T ) ) x n 1 γ n 1 S x n 1 = α n u + β n P C ( I λ n ( I T ) ) x n β n P C ( I λ n 1 ( I T ) ) x n 1 + β n P C ( I λ n 1 ( I T ) ) x n 1 + γ n S x n γ n S x n 1 + γ n S x n 1 α n 1 u β n 1 P C ( I λ n 1 ( I T ) ) x n 1 γ n 1 S x n 1 | α n α n 1 | u + β n P C ( I λ n ( I T ) ) x n P C ( I λ n 1 ( I T ) ) x n 1 + | β n β n 1 | P C ( I λ n 1 ( I T ) ) x n 1 + γ n S x n S x n 1 + | γ n γ n 1 | S x n 1 | α n α n 1 | u + β n ( x n x n 1 ) λ n ( I T ) x n + λ n ( I T ) x n 1 λ n ( I T ) x n 1 + λ n 1 ( I T ) x n 1 + | β n β n 1 | P C ( I λ n 1 ( I T ) ) x n 1 + γ n x n x n 1 + | γ n γ n 1 | S x n 1 | α n α n 1 | u + β n ( x n x n 1 + λ n ( I T ) x n ( I T ) x n 1 + | λ n λ n 1 | ( I T ) x n 1 ) + | β n β n 1 | P C ( I λ n 1 ( I T ) ) x n 1 + γ n x n x n 1 + | γ n γ n 1 | S x n 1 | α n α n 1 | L + ( 1 α n ) x n x n 1 + λ n L + | λ n λ n 1 | L + | β n β n 1 | L + | γ n γ n 1 | L ,
(3.13)

where L= max n N {u,(IT) x n (IT) x n 1 ,(IT) x n , P C (I λ n (IT)) x n ,S x n }. From Lemma 2.3 and conditions (i)-(iii), we have (3.12). Next, we will show that

lim n x n P C ( I λ n ( I T ) ) x n =0.
(3.14)

From the definition of x n and (3.5), we have

x n + 1 x 2 = α n ( u x ) + β n ( P C ( I λ n ( I T ) ) x n x ) + γ n ( S x n x ) 2 α n u x 2 + β n P C ( I λ n ( I T ) ) x n x 2 + γ n S x n x 2 β n γ n P C ( I λ n ( I T ) ) x n S x n 2 α n u x 2 + ( 1 α n ) x n x 2 β n γ n P C ( I λ n ( I T ) ) x n S x n 2 α n u x 2 + x n x 2 β n γ n P C ( I λ n ( I T ) ) x n S x n 2 ,

which implies that

β n γ n P C ( I λ n ( I T ) ) x n S x n 2 α n u x 2 + x n x 2 x n + 1 x 2 α n u x 2 + ( x n x + x n + 1 x ) x n + 1 x n .
(3.15)

From (3.15) and (3.12), we have

lim n P C ( I λ n ( I T ) ) x n S x n =0.
(3.16)

Since

x n + 1 P C ( I λ n ( I T ) ) x n = α n ( u P C ( I λ n ( I T ) ) x n ) + γ n ( S x n P C ( I λ n ( I T ) ) x n ) ,

from condition (i) and (3.16), we have

lim n x n + 1 P C ( I λ n ( I T ) ) x n =0.
(3.17)

Since

x n P C ( I λ n ( I T ) ) x n x n x n + 1 + x n + 1 P C ( I λ n ( I T ) ) x n ,

from (3.12) and (3.17), we have (3.14). Since

x n + 1 x n = α n (u x n )+ β n ( P C ( I λ n ( I T ) ) x n x n ) + γ n (S x n x n ),

from condition (i) (3.12) and (3.14), we have

lim n S x n x n =0.
(3.18)

Next, we will show that

lim sup n u z 0 , x n z 0 0,
(3.19)

where z 0 = P F u. To show this equality, take a subsequence { x n m } of { x n } such that

lim sup n u z 0 , x n z 0 = lim m u z 0 , x n m z 0 .
(3.20)

Without loss of generality, we may assume that x n m ω as m where ωC. We shall show that ωF(T). From Remark 2.9, we have F(T)=F( P C (I λ n m (IT))). Assume that ω P C (I λ n m (IT))ω. Since x n m ω as m, by Opial’s property, (3.14) and condition (ii), we have

lim inf m x n m ω < lim inf m x n m P C ( I λ n m ( I T ) ) ω lim inf m ( x n m P C ( I λ n m ( I T ) ) x n m + P C ( I λ n m ( I T ) ) x n m P C ( I λ n m ( I T ) ) ω ) lim inf m ( x n m P C ( I λ n m ( I T ) ) x n m + x n m ω + λ n m ( I T ) x n m ( I T ) ω ) lim inf m x n m ω .

This is a contradiction. Then ωF(T). From (3.18), we have

lim m S x n m x n m =0.

From the nonexpansiveness of S, x n m ω as m and Lemma 2.5, we can imply that

ωF(S).
(3.21)

Since P C (Iη B i )x= G i x for every xC and i=1,2,,N, by Lemma 2.2, we have

VI(C, B i )=F ( P C ( I η B i ) ) =F( G i ),i=1,2,,N.

By Lemma 2.6, we have

F(S)= i = 1 N F( G i )= i = 1 N VI(C, B i ).
(3.22)

From (3.21) and (3.22), we have ω i = 1 N VI(C, B i ). Hence ωF. Since x n m ω as m and ωF, we have

lim sup n u z 0 , x n z 0 = lim m u z 0 , x n m z 0 =u z 0 ,ω z 0 0.

Finally, we show that { x n } converges strongly to z 0 = P F u. From the definition of x n and (3.5), we have

x n + 1 z 0 2 = α n ( u z 0 ) + β n ( P C ( I λ n ( I T ) ) x n z 0 ) + γ n ( S x n z 0 ) 2 β n ( P C ( I λ n ( I T ) ) x n z 0 ) + γ n ( S x n z 0 ) 2 + 2 α n ( u z 0 ) , x n + 1 z 0 β n P C ( I λ n ( I T ) ) x n z 0 2 + γ n S x n z 0 2 + 2 α n u z 0 , x n + 1 z 0 ( 1 α n ) x n z 0 2 + 2 α n u z 0 , x n + 1 z 0 .

From (3.19) and Lemma 2.4, we have { x n } converges strongly to z 0 = P F u. This completes the proof. □

The following result can be obtained from Theorem 3.1. We, therefore, omit the proof.

Corollary 3.2 Let C be a nonempty closed convex subset of a real Hilbert space H. Let B:CH be a δ-inverse strongly monotone mapping and let T:CC be a κ-strictly pseudononspreading mapping for some κ[0,1). Assume that F=F(T)VI(C,B). For every nN, let x 1 ,uC and { x n } be a sequence generated by

x n + 1 = α n u+ β n P C ( I λ n ( I T ) ) x n + γ n P C (IηB) x n ,nN,
(3.23)

where { α n },{ β n },{ γ n },{ λ n }(0,1) such that α n + β n + γ n =1, β n [c,d](0,1), λ n (0,1κ), and η(0,2δ), and suppose that the following conditions hold:

  1. (i)

    lim n α n =0 and n = 0 α n =,

  2. (ii)

    n = 1 λ n <,

  3. (iii)

    n = 1 | λ n + 1 λ n |, n = 1 | γ n + 1 γ n |, n = 1 | α n + 1 α n |, n = 1 | β n + 1 β n |<.

Then the sequence { x n } converges strongly to z= P F u.

4 Application

In this section, by using our main result, we prove strong a convergence theorem involving a strictly pseudononspreading mapping and a finite family of strictly pseudocontractive mappings. Before proving the next theorem, we need the following definition.

Definition 4.1 The mapping T:CC is said to be strictly pseudocontractive [2] with the coefficient κ[0,1) if

T x T y 2 x y 2 +κ ( I T ) x ( I T ) y 2 x,yC.
(4.1)

Remark 4.1 If C is a nonempty closed convex subset of H and T:CC is a κ-strictly pseudocontractive mapping with F(T), then F(T)=VI(C,(IT)). To show this, put A=IT. Let zVI(C,(IT)) and z F(T). Since zVI(C,(IT)), yz,(IT)z0, yC. Since T:CC is a κ-strictly pseudocontractive mapping, we have

T z T z 2 = ( I A ) z ( I A ) z 2 = z z ( A z A z ) 2 = z z 2 2 z z , A z A z + A z A z 2 = z z 2 2 z z , ( I T ) z + ( I T ) z 2 z z 2 + κ ( I T ) z 2 .

It implies that

(1κ) ( I T ) z 2 2 z z , ( I T ) z 0.

Then we have z=Tz, therefore zF(T). Hence VI(C,(IT))F(T). It is easy to see that F(T)VI(C,(IT)).

Remark 4.2 A=IT is a 1 κ 2 -inverse strongly monotone mapping. To show this, let x,yC, we have

T x T y 2 = ( I A ) x ( I A ) y 2 = x y ( A x A y ) 2 = x y 2 2 x y , A x A y + A x A y 2 x y 2 + κ ( I T ) x ( I T ) y 2 = x y 2 + κ A x A y 2 .

Then we have

xy,AxAy 1 κ 2 A x A y 2 .

Theorem 4.3 Let H be a real Hilbert space and let C be a nonempty closed convex subset of H. Let T i k :CC be κ i -strictly pseudocontractive mappings for every i=1,2,,N, and let T:CC be a κ-strictly pseudononspreading mapping for some κ[0,1). Let F i :CC be defined by P C (Iη(I T i k ))x= F i x for every xC and η(0,1 κ i ) for every i=1,2,,N, and let δ j =( α 1 j , α 2 j , α 3 j )I×I×I, j=1,2,3,,N, where I=[0,1], α 1 j + α 2 j + α 3 j =1, α 1 j (0,1) for all j=1,2,,N1, α 1 N (0,1], α 2 j , α 3 j [0,1) for all j=1,2,,N. Let S:CC be the S-mapping generated by F 1 , F 2 ,, F N and δ 1 , δ 2 ,, δ N . Assume that F=F(T) i = 1 N F( T i k ). For every nN, i=1,2,,N, let x 1 ,uC and { x n } be a sequence generated by

x n + 1 = α n u+ β n P C ( I λ n ( I T ) ) x n + γ n S x n ,nN,

where { α n },{ β n },{ γ n },{ λ n }(0,1) such that α n + β n + γ n =1, β n [c,d](0,1), λ n (0,1κ) and suppose that the following conditions hold:

  1. (i)

    lim n α n =0 and n = 0 α n =,

  2. (ii)

    n = 1 λ n <,

  3. (iii)

    n = 1 | λ n + 1 λ n |, n = 1 | γ n + 1 γ n |, n = 1 | α n + 1 α n |, n = 1 | β n + 1 β n |<.

Then the sequence { x n } converges strongly to z= P F u.

Proof From Remark 4.2, we have I T i k is 1 κ i 2 -inverse strongly monotone for every i=1,2,,N. From Remark 4.1 and Lemma 2.2, we have F( T i k )=VI(C,(I T i k ))=F( P C (Iη(I T i k ))) for every i=1,2,,N. Put I T i k B i and δ i = 1 κ i 2 for every i=1,2,,N in Theorem 3.1. The conclusion of Theorem 4.3 can be obtained from Theorem 3.1 □