1 Introduction

Fixed point theory as an important branch of nonlinear analysis theory has been applied in the study of nonlinear phenomena. The theory itself is a beautiful mixture of analysis, topology, and geometry. Lots of problems arising in economics, engineering, and physics can be studied by fixed point techniques. The study of fixed point approximation algorithms for computing fixed points is now a topic of intensive research efforts. Many well-known problems can be studied by using algorithms which are iterative in their nature. As an example, in computer tomography with limited data, each piece of information implies the existence of a convex set C m in which the required solution lies. The problem of finding a point in the intersection m = 1 N C m , where N1 is some positive integer, is then of crucial interest, and it cannot be usually solved directly. Therefore, an iterative algorithm must be used to approximate such point. The well-known convex feasibility problem, which captures applications in various disciplines such as image restoration and radiation therapy treatment planning, is to find a point in the intersection of common fixed point sets of a family of nonlinear mappings, see, for example, [16].

For iterative algorithms, the oldest and simplest one is the Picard iterative algorithm. It is known that T, where T stands for a contractive mapping, enjoys a unique fixed point, and the sequence generated by the Picard iterative algorithm can converge to the unique fixed point. However, for more general nonexpansive mappings, the Picard iterative algorithm fails to converge to fixed points of nonexpansive mappings even when they enjoy fixed points. The Krasnoselskii-Mann iterative algorithm (one-step iterative algorithm) and the Ishikawa iterative algorithms (two-step iterative algorithm) have been studied for approximating fixed points of nonexpansive mappings and their extensions. However, both the Krasnoselskii-Mann iterative algorithm and the Ishikawa iterative algorithms are weak convergence for nonexpansive mappings only; see [7] and [8] for the classic weak convergence theorems. In many disciplines, including economics [9], image recovery [10], quantum physics [11], and control theory [12], problems arise in infinite dimension spaces. In such problems, strong convergence (norm convergence) is often much more desirable than weak convergence, for it translates the physically tangible property so that the energy x n x of the error between the iterate x n and the solution x eventually becomes arbitrarily small. The importance of strong convergence is also underlined in [13], where a convex function f is minimized via the proximal-point algorithm: it is shown that the rate of convergence of the value sequence {f( x n )} is better when { x n } converges strongly than when it converges weakly. Such properties have a direct impact when the process is executed directly in the underlying infinite dimensional space. Projection methods, which were first introduced by Haugazeau [14], have been considered for the approximation of fixed points of nonexpansive mappings and their extensions. The advantage of projection methods is that strong convergence of iterative sequences can be guaranteed without any compact assumptions.

In this paper, a new class of new nonlinear mappings is introduced and studied. Based on a simple hybrid projection algorithm, a theorem of strong convergence for common fixed points is obtained. The results presented in this paper mainly improve the known corresponding results announced in the literature sources listed in this work.

The organization of this paper is as follows. In Section 2, we provide some necessary preliminaries. In Section 3, the hybrid projection algorithm is proposed and analyzed. With the help of the generalized projections, theorems of strong convergence are established. Some subresults of the main results are discussed.

2 Preliminaries

Let H be a real Hilbert space, C a nonempty subset of H, and T:CC a nonlinear mapping. The symbol F(T) stands for the fixed point set of T. Recall the following. T is said to be nonexpansive if

TxTyxy,x,yC.

T is said to be quasi-nonexpansive if F(T) and

pTypy,pF(T),yC.

T is said to be asymptotically nonexpansive if there exists a sequence { μ n }[0,) with μ n 0 as n such that

T n x T n y (1+ μ n )xy,x,yC,n1.

The class of asymptotically nonexpansive mappings was introduced by Goebel and Kirk [15]. Since 1972, a host of authors have studied the convergence of iterative algorithms for such a class of mappings.

T is said to be asymptotically quasi-nonexpansive if F(T) and there exists a sequence { μ n }[0,) with μ n 0 as n such that

p T n y (1+ μ n )py,pF(T),yC,n1.

T is said to be asymptotically nonexpansive in the intermediate sense if it is continuous and the following inequality holds:

lim sup n sup x , y C ( T n x T n y x y ) 0.
(2.1)

If we define

ξ n =max { 0 , sup x , y C ( T n x T n y x y ) } ,

then ξ n 0 as n. It follows that (2.1) is reduced to

T n x T n y xy+ ξ n ,x,yC,n1.

The class of mappings which are asymptotically nonexpansive in the intermediate sense was considered by Bruck, Kuczumow, and Reich [16]. It is worth mentioning that the class of mappings which are asymptotically nonexpansive in the intermediate sense may not be Lipschitz continuous; see [1618].

T is said to be asymptotically quasi-nonexpansive in the intermediate sense if F(T) and the following inequality holds:

lim sup n sup p F ( T ) , y C ( p T n y p y ) 0.
(2.2)

If we define

ξ n =max { 0 , sup p F ( T ) , y C ( p T n y p y ) } ,

then ξ n 0 as n. It follows that (2.2) is reduced to

p T n y py+ ξ n ,pF(T),yC,n1.

T is said to be strictly pseudocontractive if there exists a constant κ[0,1) such that

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

The class of strictly pseudocontractive mappings was introduced by Browder and Petryshyn [19]. It is easy to see that the class of strictly pseudocontractive mappings includes the class of nonexpansive mappings as a special case. In 2007, Marino and Xu [20] proved that the fixed point set of strict pseudocontractions is closed and convex. They also obtained a strong convergence theorem for fixed points of the class of mappings based on hybrid projection algorithms; see [20] for more details.

T is said to be strictly quasi-pseudocontractive if F(T) and there exists a constant κ[0,1) such that

p T y 2 p y 2 +κ y T y 2 ,pF(T),yC.

T is said to be an asymptotically strict pseudocontraction if there exist a constant κ[0,1) and a sequence { μ n }[0,) with μ n 0 as n such that

T n x T n y 2 (1+ μ n ) x y 2 +κ ( I T n ) x ( I T n ) y 2 ,x,yC,n1.

The class of asymptotically strict pseudocontractions was introduced by Qihou [21] in 1996. Kim and Xu [22] proved that the fixed point set of asymptotically strict pseudocontractions is closed and convex. They also obtained a strong convergence theorem for fixed points of the class of asymptotically strict pseudocontractions based on projection algorithms; see [22] for more details.

T is said to be an asymptotically strict quasi-pseudocontraction if there exist a constant κ[0,1), F(T) and a sequence { μ n }[0,) with μ n 0 as n such that

p T n y 2 (1+ μ n ) p y 2 +κ y T n y 2 ,pF(T),yC,n1.

T is said to be an asymptotically strict pseudocontraction in the intermediate sense if there exist a constant κ[0,1) and a sequence { μ n }[0,) with μ n 0 as n such that

lim sup n sup x , y C ( T n x T n y 2 ( 1 + μ n ) x y 2 κ ( I T n ) x ( I T n ) y 2 ) 0.
(2.3)

Put

ξ n =max { 0 , sup x , y C ( T n x T n y 2 ( 1 + μ n ) x y 2 κ ( I T n ) x ( I T n ) y 2 ) } .

It follows that ξ n 0 as n. Then, (2.3) is reduced to the following:

T n x T n y 2 ( 1 + μ n ) x y 2 + κ ( I T n ) x ( I T n ) y 2 + ξ n , x F ( T ) , y C , n 1 .

The class of mappings was introduced by Sahu, Xu, and Yao [23]. They proved that the fixed point set of asymptotically strict pseudocontractions in the intermediate sense is closed and convex. They also obtained a strong convergence theorem for fixed points of the class of mappings based on projection algorithms; see [23] for more details.

T is said to be an asymptotically strict quasi-pseudocontraction in the intermediate sense if there exist a constant κ[0,1), F(T) and a sequence { μ n }[0,) with μ n 0 as n such that

lim sup n sup p F ( T ) , y C ( p T n y 2 ( 1 + μ n ) p y 2 κ y T n y 2 ) 0.
(2.4)

Put

ξ n =max { 0 , sup p F ( T ) , y C ( p T n y 2 ( 1 + μ n ) p y 2 κ y T n y 2 ) } .

It follows that ξ n 0 as n. Then, (2.4) is reduced to the following:

p T n y 2 (1+ μ n ) p y 2 +κ y T n y 2 + ξ n ,pF(T),yC,n1.

In what follows, we always assume that E is a Banach space with the dual space E . The symbol J stands for the normalized duality mapping from E to 2 E defined by

Jx= { f E : x , f = x 2 = f 2 } ,xE,

where , denotes the generalized duality pairing of elements between E and E . It is well known that if E is strictly convex, then J is single valued; if E is uniformly convex, then J is uniformly continuous on bounded subsets of E; if E is reflexive and smooth, then J is single valued and demicontinuous.

It is also well known that if C is a nonempty closed convex subset of a Hilbert space H and P C :HC is the metric projection of H onto C, then P C is nonexpansive. This fact actually characterizes Hilbert spaces, and consequently, it is not available in more general Banach spaces. In this connection, Alber [24] introduced a generalized projection operator Π C in a Banach space E which is an analogue of the metric projection in Hilbert spaces.

Recall that a Banach space E is said to be strictly convex if x + y 2 <1 for all x,yE with x=y=1 and xy. It is said to be uniformly convex if lim n x n y n =0 for any two sequences { x n } and { y n } in E such that x n = y n =1 and lim n x n + y n 2 =1. Let U E ={xE:x=1} be the unit sphere of E. Then the Banach space E is said to be smooth provided lim t 0 x + t y x t exists for all x,y U E . It is also said to be uniformly smooth if the limit is attained uniformly for all x,y U E .

Recall that a Banach space E has the Kadec-Klee property if for any sequence { x n }E and xE with x n x and x n x, then x n x0 as n. For more details on the Kadec-Klee property, the readers can refer to [2527] and the references therein. It is well known that if E is a uniformly convex Banach space, then E satisfies the Kadec-Klee property.

Let E be a smooth Banach space. Consider the functional defined by

ϕ(x,y)= x 2 2x,Jy+ y 2 ,x,yE.
(2.5)

Notice that, in a Hilbert space H, (2.5) is reduced to ϕ(x,y)= x y 2 for all x,yH. The generalized projection Π C :EC is a mapping that assigns to an arbitrary point xE, the minimum point of the functional ϕ(x,y); that is, Π C x= x ¯ , where x ¯ is the solution to the following minimization problem:

ϕ( x ¯ ,x)= min y C ϕ(y,x).

The existence and uniqueness of the operator Π C follow from the properties of the functional ϕ(x,y) and the strict monotonicity of the mapping J; see, for example, [2427]. In Hilbert spaces, Π C = P C . It is obvious from the definition of the function ϕ that

( y x ) 2 ϕ(y,x) ( y + x ) 2 ,x,yE,
(2.6)

and

ϕ(x,y)=ϕ(x,z)+ϕ(z,y)+2xz,JzJy,x,y,zE.
(2.7)

Remark 2.1 If E is a reflexive, strictly convex, and smooth Banach space, then for all x,yE, ϕ(x,y)=0 if and only if x=y. It is sufficient to show that if ϕ(x,y)=0, then x=y. From (2.6), we have x=y. This implies that x,Jy= x 2 = J y 2 . From the definition of J, we see that Jx=Jy. It follows that x=y; see [25, 27] for more details.

Next, we recall the following.

  1. (1)

    A point p in C is said to be an asymptotic fixed point of T [28] if C contains a sequence { x n } which converges weakly to p such that lim n x n T x n =0. The set of asymptotic fixed points of T will be denoted by F ˜ (T).

  2. (2)

    T is said to be relatively nonexpansive if

    F ˜ (T)=F(T),ϕ(p,Tx)ϕ(p,x),xC,pF(T).

The asymptotic behavior of relatively nonexpansive mappings was studied in [2931].

  1. (3)

    T is said to be relatively asymptotically nonexpansive if

    F ˜ (T)=F(T),ϕ ( p , T n x ) (1+ μ n )ϕ(p,x),xC,pF(T),n1,

where { μ n }[0,) is a sequence such that μ n 1 as n.

Remark 2.2 The class of relatively asymptotically nonexpansive mappings was first considered in Su and Qin [32]; see also, Agarwal, Cho, and Qin [33], and Qin et al.[34].

  1. (4)

    T is said to be quasi-ϕ-nonexpansive if

    F(T),ϕ(p,Tx)ϕ(p,x),xC,pF(T).
  2. (5)

    T is said to be asymptotically quasi-ϕ-nonexpansive if there exists a sequence { μ n }[0,) with μ n 0 as n such that

    F(T),ϕ ( p , T n x ) (1+ μ n )ϕ(p,x),xC,pF(T),n1.

Remark 2.3 The class of quasi-ϕ-nonexpansive mappings and the class of asymptotically quasi-ϕ-nonexpansive mappings were considered in Qin, Cho, and Kang [35], and Zhou, Gao, and Tan [36]; see also [3742].

Remark 2.4 The class of quasi-ϕ-nonexpansive mappings and the class of asymptotically quasi-ϕ-nonexpansive mappings are more general than the class of relatively nonexpansive mappings and the class of relatively asymptotically nonexpansive mappings. Quasi-ϕ-nonexpansive mappings and asymptotically quasi-ϕ-nonexpansive mappings do not require F(T)= F ˜ (T).

Remark 2.5 The class of quasi-ϕ-nonexpansive mappings and the class of asymptotically quasi-ϕ-nonexpansive mappings are generalizations of the class of quasi-nonexpansive mappings and the class of asymptotically quasi-nonexpansive mappings in Banach spaces.

  1. (6)

    T is said to be a strict quasi-ϕ-pseudocontraction if F(T) and there exists a constant κ[0,1) such that

    ϕ(p,Tx)ϕ(p,x)+κϕ(x,Tx),xC,pF(T).
  2. (7)

    T is said to be an asymptotically strict quasi-ϕ-pseudocontraction if F(T) and there exists a sequence { μ n }[0,) with μ n 0 as n and a constant κ[0,1) such that

    ϕ ( p , T n x ) (1+ μ n )ϕ(p,x)+κϕ ( x , T n x ) ,xC,pF(T),n1.

Remark 2.6 It is clear that strict quasi-ϕ-pseudocontractions are asymptotically strict quasi-ϕ-pseudocontractions with the sequence μ n 0. The class of asymptotically strict quasi-ϕ-pseudocontractions was first considered in Qin et al.[43]; see [43] for more details on asymptotically strict quasi-ϕ-pseudocontractions and see [44] for more details on quasi-strict pseudocontractions and the references therein.

Remark 2.7 If κ=0, then the class of asymptotically strict quasi-ϕ-pseudocontractions is reduced to asymptotically quasi-ϕ-nonexpansive mappings.

Remark 2.8 The class of strict quasi-ϕ-pseudocontraction and the class of asymptotically strict quasi-ϕ-pseudocontractions are generalizations of the class of strict quasi-pseudocontraction and the class of asymptotically strict quasi-pseudocontractions in Banach spaces.

  1. (8)

    The mapping T is said to be asymptotically regular on C if, for any bounded subset K of C,

    lim n sup x K { T n + 1 x T n x } =0.

In this paper, based on the class of asymptotically strict pseudocontractions in the intermediate sense which was introduced by Sahu, Xu, and Yao [23] in Hilbert spaces, we introduce and consider the following new nonlinear mapping: asymptotically strict quasi-ϕ-pseudocontraction in the intermediate sense.

  1. (9)

    T is said to be an asymptotically strict quasi-ϕ-pseudocontraction in the intermediate sense if F(T) and there exists a sequence { μ n }[0,) with μ n 0 as n and a constant κ[0,1) such that

    lim sup n sup p F ( T ) , x C ( ϕ ( p , T n x ) ( 1 + μ n ) ϕ ( p , x ) κ ϕ ( x , T n x ) ) 0.
    (2.8)

Put

ξ n =max { 0 , sup p F ( T ) , x C ( ϕ ( p , T n x ) ( 1 + μ n ) ϕ ( p , x ) κ ϕ ( x , T n x ) ) } .

It follows that ξ n 0 as n. Then, (2.8) is reduced to the following:

ϕ ( p , T n x ) (1+ μ n )ϕ(p,x)+κϕ ( x , T n x ) + ξ n ,pF(T),xC,n1.

Remark 2.9 The class of asymptotically strict quasi-ϕ-pseudocontractions in the intermediate sense is a generalization of the class of asymptotically strict quasi-pseudocontractions in the intermediate sense in the framework of Banach spaces. For examples of the mapping in R 1 , we refer the readers to Sahu, Xu, and Yao [23].

Remark 2.10 If κ=0 and μ n 0, then we call T an asymptotically quasi-ϕ-nonexpansive mapping in the intermediate sense.

Remark 2.11 The class of asymptotically quasi-ϕ-nonexpansive mappings in the intermediate sense is a generalization of the class of asymptotically quasi-nonexpansive mappings in the intermediate sense in the framework of Banach spaces.

In order to prove our main results, we also need the following lemmas:

Lemma 2.12[45]

Let E be a uniformly convex and smooth Banach space. Let{ x n }and{ y n }be two sequences in E. Ifϕ( x n , y n )0and either{ x n }or{ y n }is bounded, then x n y n 0asn.

Lemma 2.13[24]

Let C be a nonempty, closed, and convex subset of a smooth Banach space E, andxE. Then x 0 = Π C xif and only if

x 0 y,JxJ x 0 0,yC.

Lemma 2.14[24]

Let E be a reflexive, strictly convex, and smooth Banach space, C a nonempty, closed, and convex subset of E, andxE. Then

ϕ(y, Π C x)+ϕ( Π C x,x)ϕ(y,x),yC.

3 Main results

Now, we are in a position to give the main results in this paper.

Theorem 3.1 Let E be a uniformly convex and smooth Banach space. Let C be a nonempty closed and convex subset of E. Let Λ be an index set and T i :CC, whereiΛ, be an asymptotically strict quasi-ϕ-pseudocontraction in the intermediate sense with a sequence{ μ ( n , i ) }[0,)such that μ ( n , i ) 0asn. Assume that i Λ F( T i ). For eachiΛ, assume that T i is closed and uniformly asymptotically regular on C, andF( T i )is bounded. Let{ x n }be a sequence generated in the following manner:

{ x 0 E , chosen arbitrarily , C ( 1 , i ) = C , C 1 = i Λ C ( 1 , i ) , x 1 = Π C 1 x 0 , C ( n + 1 , i ) = { u C ( n , i ) : C ( n + 1 , i ) = ϕ ( x n , T i n x n ) 2 1 κ i x n u , J x n J T i n x n + μ ( n , i ) M ( n , i ) 1 κ i + ξ ( n , i ) 1 κ i } , C n + 1 = i Λ C ( n + 1 , i ) , x n + 1 = Π C n + 1 x 0 , n 0 ,

where M ( n , i ) =sup{ϕ(p, x n ):pF( T i )} and

ξ ( n , i ) =max { 0 , sup p F ( T i ) , x C ( ϕ ( p , T i n x ) ( 1 + μ ( n , i ) ) ϕ ( p , x ) κ i ϕ ( x , T i n x ) ) } .

Then the sequence{ x n }converges strongly to x ¯ = Π i Λ F ( T i ) x 0 .

Proof First, we show, for every iΛ, that F( T i ) is closed and convex. This proves that Π i Λ F ( T i ) x 0 is well defined for all x 0 E. On the closedness of F( T i ), we can easily draw the desired conclusion from the closedness of T i . Now, we are in a position to show the convexness of F( T i ), iΛ. Let p ( 1 , i ) , p ( 2 , i ) F( T i ) and p i = t i p ( 1 , i ) +(1 t i ) p ( 2 , i ) , where t i (0,1), for every iΛ. We see that p i = T i p i . Indeed, we see from the definition of T i that

ϕ ( p ( 1 , i ) , T i n p i ) (1+ μ ( n , i ) )ϕ( p ( 1 , i ) , p i )+ κ i ϕ ( p i , T i n p i ) + ξ ( n , i ) ,

and

ϕ ( p ( 2 , i ) , T i n p i ) (1+ μ ( n , i ) )ϕ( p ( 2 , i ) , p i )+ κ i ϕ ( p i , T i n p i ) + ξ ( n , i ) .

It follows from (2.7) that

ϕ ( p i , T i n p i ) μ ( n , i ) 1 κ i ϕ( p ( 1 , i ) , p i )+ 2 1 κ i p i p ( 1 , i ) , J p i J T i n p i + ξ ( n , i ) 1 κ i ,
(3.1)

and

ϕ ( p i , T i n p i ) μ ( n , i ) 1 κ i ϕ( p ( 2 , i ) , p i )+ 2 1 κ i p i p ( 2 , i ) , J p i J T i n p i + ξ ( n , i ) 1 κ i .
(3.2)

Multiplying t i and (1 t i ) on both sides of (3.1) and (3.2) respectively yields that

ϕ ( p i , T i n p i ) t i μ ( n , i ) 1 κ i ϕ( p ( 1 , i ) , p i )+ ( 1 t i ) μ ( n , i ) 1 κ i ϕ( p ( 2 , i ) , p i )+ ξ ( n , i ) 1 κ i .

It follows that

lim n ϕ ( p i , T i n p i ) =0.

In view of Lemma 2.12, we see that T i n p i p i as n for each iΛ. This implies T i T i n p i = T i n + 1 p i p i as n for each iΛ. From the closedness of T i , we obtain p i F( T i ). This proves that F( T i ) is convex. This completes the proof that F( T i ) is closed and convex.

Next, we prove that C n is closed and convex for each n1. It suffices to show that, for each fixed but arbitrary iΛ, C ( n , i ) is closed and convex for each n1. This can be proved by induction on n. It is obvious that C ( 1 , i ) =C is closed and convex. Assume that C ( h , i ) is closed and convex for some h1. Let a,b C ( h + 1 , i ) and c=ta+(1t)b, where t(0,1). It follows that

ϕ ( x h , T i h x h ) 2 1 κ i x h a , J x h J T i h x h + μ ( h , i ) M ( h , i ) 1 κ h + ξ ( h , i ) 1 κ i ,

and

ϕ ( x h , T i h x h ) 2 1 κ i x h b , J x h J T i h x h + μ ( h , i ) M ( h , i ) 1 κ i + ξ ( h , i ) 1 κ i ,

where a,b C ( h , i ) . From the above two inequalities, we find that

ϕ ( x h , T i h x h ) 2 1 κ i x h c , J x h J T i h x h + μ ( h , i ) M ( h , i ) 1 κ i + ξ ( h , i ) 1 κ i ,

where c C ( h , i ) . It follows that C ( h + 1 , i ) is closed, and convex. This, in turn, implies that C n = i Λ C ( n , i ) is closed and convex.

Now, we are in a position to show, for each iΛ, that F( T i ) C n . It is obvious that F( T i )C= C 1 . Suppose that F( T i ) C h for some hN. For any zF( T i ) C h , we see that

ϕ ( z , T i h x h ) (1+ μ ( h , i ) )ϕ(z, x h )+ κ i ϕ ( x h , T i h x h ) + ξ ( h , i ) .
(3.3)

On the other hand, we obtain from (2.7) that

ϕ ( z , T i h x h ) =ϕ(z, x h )+ϕ ( x h , T i h x h ) +2 z x h , J x h J T i h x h .
(3.4)

Combining (3.3) with (3.4), we arrive at

ϕ ( x h , T i h x h ) μ ( h , i ) 1 κ i ϕ ( z , x h ) + 2 1 κ i x h z , J x h J T i h x h + ξ ( h , i ) 1 κ i μ ( h , i ) M ( h , i ) 1 κ i + 2 1 κ i x h z , J x h J T i h x h + ξ ( h , i ) 1 κ i ,

which implies that z C ( h + 1 , i ) . This proves, for each iΛ, that F( T i ) C n . This implies that i Λ F( T i ) C n .

In view of x n = Π C n x 0 , we see from Lemma 2.13 that

x n z,J x 0 J x n 0,z C n .
(3.5)

This implies that

x n w,J x 0 J x n 0,w i Λ F( T i ) C n .
(3.6)

It follows from Lemma 2.14 that

ϕ ( x n , x 0 ) = ϕ ( Π C n x 0 , x 0 ) ϕ ( Π i Λ F ( T i ) x 0 , x 0 ) ϕ ( Π i Λ F ( T i ) x 0 , x n ) ϕ ( Π i Λ F ( T i ) x 0 , x 0 ) .

This implies that the sequence {ϕ( x n , x 0 )} is bounded. It follows from (2.6) that the sequence { x n } is also bounded. Since { x n } is bounded and the space is uniformly convex, we may assume that x n x ¯ weakly. Since C n is closed and convex, we see that x ¯ C n . On the other hand, we see from the weakly lower semicontinuity of the norm

ϕ ( x ¯ , x 0 ) = x ¯ 2 2 x ¯ , J x 0 + x 0 2 lim inf n ( x n 2 2 x n , J x 0 + x 0 2 ) = lim inf n ϕ ( x n , x 0 ) lim sup n ϕ ( x n , x 0 ) ϕ ( x ¯ , x 0 ) ,

that ϕ( x n , x 0 )ϕ( x ¯ , x 0 ) as n. Hence, x n x ¯ as n. In view of the Kadec-Klee property of E, we obtain x n x ¯ as n. On the other hand, we see from x n + 1 = Π C n + 1 x 0 C n + 1 C n that

ϕ ( x n , T i n x n ) 2 1 κ i x n x n + 1 , J x n J T i n x n + μ ( n , i ) M ( n , i ) 1 κ i + ξ ( n , i ) 1 κ i ,

from which it follows that ϕ( x n , T i n x n )0 as n. In view of Lemma 2.12, we arrive at

lim n T i n x n x n =0.
(3.7)

Note that x n x ¯ as n. From

T i n x n x ¯ T i n x n x n + x n x ¯ ,

we obtain from (3.7) that

lim n T i n x n x ¯ =0.
(3.8)

On the other hand, we have

T i n + 1 x n x ¯ T i n + 1 x n T i n x n + T i n x n x ¯ .

It follows from the uniformly asymptotic regularity of T i and (3.8) that

lim n T i n + 1 x n x ¯ =0.
(3.9)

That is, T i T i n x n x ¯ . From the closedness of T i , we find x ¯ = T i x ¯ for each iΛ. This proves x ¯ i Λ F( T i ).

Finally, we show that x ¯ = Π i Λ F ( T i ) x 0 which completes the proof. In view of x n = Π C n x 0 and Π i Λ F ( T i ) x 0 i Λ F( T i ) C n , we obtain that

ϕ( x n , x 0 )ϕ( Π i Λ F ( T i ) x 0 , x 0 ).

This implies that

ϕ( x ¯ , x 0 )= lim n ϕ( x n , x 0 )ϕ( Π i Λ F ( T i ) x 0 , x 0 ).

This shows x ¯ = Π i Λ F ( T i ) x 0 . This completes the proof. □

Remark 3.2 In view of spaces, algorithms, and mappings, Theorem 3.1 is a generalization of Theorem 4.1 of Sahu, Xu, and Yao [23]; see [23] for more details.

Based on Theorem 3.1, we have the following.

Corollary 3.3 Let E be a uniformly convex and smooth Banach space. Let C be a nonempty closed and convex subset of E. Let Λ be an index set and T i :CC, whereiΛ, be an asymptotically quasi-ϕ-nonexpansive mapping in the intermediate sense. Assume that i Λ F( T i ). For eachiΛ, assume that T i is closed and uniformly asymptotically regular on C. Let{ x n }be a sequence generated in the following manner:

{ x 0 E , chosen arbitrarily , C ( 1 , i ) = C , C 1 = i Λ C ( 1 , i ) , x 1 = Π C 1 x 0 , C ( n + 1 , i ) = { u C ( n , i ) : ϕ ( x n , T i n x n ) 2 x n u , J x n J T i n x n + ξ ( n , i ) } , C n + 1 = i Λ C ( n + 1 , i ) , x n + 1 = Π C n + 1 x 0 , n 0 ,

where

ξ ( n , i ) =max { 0 , sup p F ( T i ) , x C ( ϕ ( p , T i n x ) ϕ ( p , x ) ) } .

Then the sequence{ x n }converges strongly to x ¯ = Π i Λ F ( T i ) x 0 .

Proof Putting μ n , i 0 and κ i 0, we can conclude from Theorem 3.1 the desired conclusion immediately. □

Remark 3.4 In view of algorithms and mappings, Corollary 3.3 is a generalization of Theorem 2.1 of Qin, Huang, and Wang [46]; see [46] for more details.

In the framework of Hilbert spaces, we have the following results for an uncountable family of asymptotically strict quasi-pseudocontractions in the intermediate sense and an uncountable family of asymptotically quasi-nonexpansive mappings in the intermediate sense.

Corollary 3.5 Let H be a Hilbert space and C a nonempty closed and convex subset of H. Let Λ be an index set and T i :CC, whereiΛ, be an asymptotically strict quasi-pseudocontraction in the intermediate sense with a sequence{ μ ( n , i ) }[0,)such that μ ( n , i ) 0asn. Assume that i Λ F( T i ). For eachiΛ, assume that T i is closed and uniformly asymptotically regular on C, andF( T i )is bounded. Let{ x n }be a sequence generated in the following manner:

{ x 0 H , chosen arbitrarily , C ( 1 , i ) = C , C 1 = i Λ C ( 1 , i ) , x 1 = P C 1 x 0 , C ( n + 1 , i ) = { u C ( n , i ) : C ( n + 1 , i ) = x n T i n x n 2 2 x n u , x n T i n x n + μ ( n , i ) M ( n , i ) + ξ ( n , i ) } , C n + 1 = i Λ C ( n + 1 , i ) , x n + 1 = P C n + 1 x 0 , n 0 ,

where M ( n , i ) =sup{ϕ(p, x n ):pF( T i )} and

ξ ( n , i ) =max { 0 , sup p F ( T i ) , x C ( p T i n x 2 ( 1 + μ ( n , i ) ) p x 2 κ i x T i n x 2 ) } .

Then the sequence{ x n }converges strongly to x ¯ = P i Λ F ( T i ) x 0 .

Corollary 3.6 Let H be a Hilbert space and C a nonempty closed and convex subset of H. Let Λ be an index set and T i :CC, whereiΛ, be an asymptotically quasi-nonexpansive mapping in the intermediate sense. Assume that i Λ F( T i ). For eachiΛ, assume that T i is closed and uniformly asymptotically regular on C. Let{ x n }be a sequence generated in the following manner:

{ x 0 H , chosen arbitrarily , C ( 1 , i ) = C , C 1 = i Λ C ( 1 , i ) , x 1 = P C 1 x 0 , C ( n + 1 , i ) = { u C ( n , i ) : x n T i n x n 2 2 x n u , x n T i n x n + ξ ( n , i ) } , C n + 1 = i Λ C ( n + 1 , i ) , x n + 1 = P C n + 1 x 0 , n 0 ,

where

ξ ( n , i ) =max { 0 , sup p F ( T i ) , x C ( p T i n x 2 p x 2 ) } .

Then the sequence{ x n }converges strongly to x ¯ = P i Λ F ( T i ) x 0 .

4 Applications

In this section, we consider minimizers of proper, lower semicontinuous, and convex functionals, and solutions of variational inequalities.

Let E be a Banach space with the dual E . For a proper lower semicontinuous convex function f:E(,], the subdifferential mapping fE× E of f is defined by

f(x)= { x E : f ( x ) + y x , x f ( y ) , y E } ,xE.

Rockafellar [47] proved that ∂f is a maximal monotone operator. It is easy to verify that 0f(v) if and only if f(v)= min x E f(x).

Theorem 4.1 Let E be a uniformly convex and smooth Banach space. Let C be a nonempty, closed, and convex subset of E. Let Λ be an index set, and f i :CCbe a proper, lower semicontinuous, and convex functionals, for everyiΛ. Assume that i Λ ( f i ) 1 (0)is nonempty. Let{ x n }be a sequence generated in the following manner:

{ x 0 E , chosen arbitrarily , C ( 1 , i ) = C , C 1 = i Λ C ( 1 , i ) , x 1 = Π C 1 x 0 , y ( n , i ) = arg min z E { f i ( z ) + z 2 2 r i + z , J x n 2 r i } , C ( n + 1 , i ) = { u C ( n , i ) : ϕ ( x n , y ( n , i ) ) 2 x n u , J x n J y ( n , i ) } , C n + 1 = i Λ C ( n + 1 , i ) , x n + 1 = Π C n + 1 x 0 , n 0 ,

where r i >0, iΛ. Then{ x n }converges strongly to Π i Λ ( f i ) 1 ( 0 ) x 0 , where Π i Λ ( f i ) 1 ( 0 ) stands for the generalized projection from E onto i Λ ( f i ) 1 (0).

Proof For each r i >0, and xE, we see that there exists a unique x r i D( f i ) such that JxJ x r i + r i f i ( x r i ), where x r i = ( J + r i f i ) 1 Jx. Notice that

y ( n , i ) =arg min z E { f i ( z ) + z 2 2 r i + z , J x n r i } ,

is equivalent to

0 ( f i + 2 2 r i + J x n r i ) y ( n , i ) = f i ( y ( n , i ) )+ J y ( n , i ) r i + J x n r i .

This shows that y n , i = ( J + r i f i ) 1 J x n . In view of Example 2.3 in Qin, Cho, and Kang [36], we find that ( J + r i f i ) 1 J is closed quasi-ϕ-nonexpansive with F( ( J + r i f i ) 1 J)= ( f i ) 1 (0). Notice that every quasi-ϕ-nonexpansive mapping is an asymptotically strict quasi-ϕ-pseudocontraction in the intermediate sense. Following the proof of Theorem 3.1, we can immediately conclude the desired conclusion. This completes the proof. □

Let C be a nonempty, closed, and convex subset of a Banach space E. Let A:C E be a single valued monotone operator which is hemicontinuous; that is, continuous along each line segment in C with respect to the weak topology of E . Consider the following variational inequality problem of finding a point xC such that

yx,Ax0,yC.

In this chapter, we use VI(C,A) to denote the solution set of the variational inequality involving A. The symbol N C (x) stands for the normal cone for C at a point xC; that is,

N C (x)= { x E : y x , x 0 , y C } .

Theorem 4.2 Let E be a uniformly convex and smooth Banach space. Let C be a nonempty, closed, and convex subset of E. Let Λ be an index set, and A i :C E a single valued, monotone, and hemicontinuous operator. Assume that i Λ VI(C, A i )is not empty. Let{ x n }be a sequence generated in the following manner:

{ x 0 E , chosen arbitrarily , C ( 1 , i ) = C , C 1 = i Λ C ( 1 , i ) , x 1 = Π C 1 x 0 , y ( n , i ) = VI ( C , A i + 1 r i ( J J x n ) ) , C ( n + 1 , i ) = { u C ( n , i ) : ϕ ( x n , y ( n , i ) ) 2 x n u , J x n J y ( n , i ) } , C n + 1 = i Λ C ( n + 1 , i ) , x n + 1 = Π C n + 1 x 0 , n 0 ,

where r i >0, iΛ. Then{ x n }converges strongly to Π i Λ VI ( C , A i ) x 0 , where Π i Λ VI ( C , A i ) stands for the generalized projection from E onto i Λ VI(C, A i ).

Proof Define a mapping T i E× E by

T i x={ A i x + N C x , x C , , x C .

By Rockafellar [48], we know that T i is maximal monotone, and T i 1 (0)=VI(C, A i ). For each r i >0, and xE, we see that there exists a unique x r i D( T i ) such that JxJ x r i + r i T i ( x r i ), where x r i = ( J + r i T i ) 1 Jx. Notice that

y ( n , i ) =VI ( C , A i + 1 r i ( J J x n ) ) ,

which is equivalent to

y y n , i , A i y ( n , i ) + 1 r i ( J y ( n , i ) J x n ) 0,yC,

that is,

A i y ( n , i ) + 1 r i (J x n J y ( n , i ) ) N C ( y ( n , i ) ).

This implies that y ( n , i ) = ( J + r i T i ) 1 J x n . In view of Example 2.3 in Qin, Cho, and Kang [31], we find that ( J + r i f i ) 1 J is closed quasi-ϕ-nonexpansive with F( ( J + r i f i ) 1 J)= T i 1 (0). Notice that every quasi-ϕ-nonexpansive mapping is an asymptotically strict quasi-ϕ-pseudocontraction in the intermediate sense. Following the proof of Theorem 3.1, we can immediately conclude the desired conclusion. □