Abstract

We introduce a general composite iterative scheme for nonexpansive semigroups in Banach spaces. We establish some strong convergence theorems of the general iteration scheme under different control conditions. The results presented in this paper improve and extend the corresponding results of Marino and Xu (2006), and others, from Hilbert spaces to Banach spaces.

1. Introduction

Let 𝑋 be a real Banach space, and let 𝐶 be a nonempty closed convex subset of 𝑋. A mapping 𝑇 of 𝐶 into itself is said to be nonexpansive if 𝑇𝑥𝑇𝑦𝑥𝑦 for each 𝑥,𝑦𝐶. We denote 𝐹(𝑇) the set of fixed points of 𝑇. We know that 𝐹(𝑇) is nonempty if 𝐶 is bounded, for more detail see [1]. A one-parameter family 𝒯={𝑇(𝑡)0𝑡<} from 𝐶 of 𝑋 into itself is said to be a nonexpansive semigroup on 𝐶 if it satisfies the following conditions: (i)𝑇(0)𝑥=𝑥 for all 𝑥𝐶;(ii)𝑇(𝑠+𝑡)=𝑇(𝑠)𝑇(𝑡) for all 𝑠,𝑡0;(iii)for each 𝑥𝐶 the mapping 𝑡𝑇(𝑡)𝑥 is continuous;(iv)𝑇(𝑡)𝑥𝑇(𝑡)𝑦𝑥𝑦 for all 𝑥,𝑦𝐶 and 𝑡0.

We denote by 𝐹(𝒯) the set of all common fixed points of 𝒯, that is 𝐹(𝒯)=𝑡0𝐹(𝑇(𝑡)). We know that 𝐹(𝒯) is nonempty if 𝐶 is bounded, see [2]. Recall that a self-mapping 𝑓𝐶𝐶 is a contraction if there exists a constant 𝛼(0,1) such that 𝑓(𝑥)𝑓(𝑦)𝛼𝑥𝑦 for each 𝑥,𝑦𝐶. As in [3], we use the notation Π𝐶 to denote the collection of all contraction on 𝐶, that is, Π𝐶={𝑓𝐶𝐶acontraction}. Note that each 𝑓Π𝐶 has a unique fixed point in 𝐶. Iterative methods for nonexpansive mappings have recently been applied to solve minimization problems; see, for example, [410] and references therein.

A typical problem is to minimize a quadratic function over the set of the fixed points of a nonexpansive mapping on a real Hilbert space 𝐻:min𝑥𝐹12𝐴𝑥,𝑥𝑥,𝑢,(1.1) where 𝐹 is the fixed point set of a nonexpansive mapping 𝑇 on 𝐻 and 𝑢 is a given point in 𝐻. Assume 𝐴 is strongly positive; that is there is a constant 𝛾 such that 𝐴𝑥,𝑥𝛾𝑥2 for all 𝑥𝐻.

In 2003, Xu [7] proved that the sequence {𝑥𝑛} generated by𝑥0𝑥=𝑥𝐻chosenarbitrarily;𝑛+1=𝛼𝑛𝑢+1𝛼𝑛𝑇𝑥𝑛,𝑛0,(1.2) converges strongly to the unique solution of the minimization problem (1.1) provided the sequence {𝛼𝑛} satisfies certain conditions. On the other hand, Moudafi [11] introduced the viscosity approximation method and proved that if 𝐻 is a real Hilbert space, the sequence {𝑥𝑛} generated by the following algorithm:𝑥0𝑥=𝑥𝐻chosenarbitrarily;𝑛+1=𝛼𝑛𝑓𝑥𝑛+1𝛼𝑛𝑇𝑥𝑛,𝑛0,(1.3) where 𝑓𝐶𝐶 is a contraction mapping with constant 𝛼(0,1) and {𝛼𝑛}(0,1) satisfies certain conditions, converges strongly to a fixed point of 𝑇 in 𝐶 which is the unique solution of the following variational inequality:(𝑓𝐼)𝑥,𝑦𝑥0,𝑦𝐹(𝑇).(1.4)

Recently, Marino and Xu [12] combined the iterative method (1.2) with the viscosity approximation method (1.3) considering the following general iterative process:𝑥0𝑥=𝑥𝐻chosenarbitrarily;𝑛+1=𝛼𝑛𝑥𝛾𝑓𝑛+𝐼𝛼𝑛𝐴𝑇𝑥𝑛,𝑛0.(1.5) They proved the sequence {𝑥𝑛}, generated by (1.5), converges strongly to the unique solution of the variational inequality(𝛾𝑓𝐴)𝑥,𝑦𝑥0,𝑦𝐹(𝑇),(1.6) which is the optimality condition for the minimization problemmin𝑥𝐶12𝐴𝑥,𝑥(𝑥),(1.7) where 𝐶 is the fixed point set of a nonexpansive mapping 𝑇 and is a potential function for 𝛾𝑓 (i.e., (𝑥)=𝛾𝑓(𝑥) for all 𝑥𝐻). Xu [3] studied further the viscosity approximation method for nonexpansive semigroup in uniformly smooth Banach spaces. This result extends Theorem 2.2 of Moudafi [11] to a Banach space. Kim and Xu [13] studied the sequence generated by the algorithm𝑥1𝑦=𝑥𝐶chosenarbitrarily;𝑛=𝛼𝑛𝑥𝑛+1𝛼𝑛𝑇𝑥𝑛;𝑥𝑛+1=𝛽𝑛𝑢+1𝛽𝑛𝑦𝑛,𝑛1,(1.8) and proved strong convergence of scheme (1.8) in the framework of a uniformly smooth Banach space. Later, Yao et al. [14] introduced a new iteration process by combining the modified Mann iteration [13] and the viscosity method introduced by Moudafi [11]. Let 𝐶 be a closed convex subset of a Banach space, 𝑇𝐶𝐶 a nonexpansive mapping such that 𝐹(𝑇); and 𝑓Π𝐶. Define {𝑥𝑛} in the following way:𝑥1𝑦=𝑥𝐶chosenarbitrarily;𝑛=𝛼𝑛𝑥𝑛+1𝛼𝑛𝑇𝑥𝑛;𝑥𝑛+1=𝛽𝑛𝑓𝑥𝑛+1𝛽𝑛𝑦𝑛,𝑛1,(1.9) where {𝛼𝑛} and {𝛽𝑛} are two sequences in (0,1). They proved, under different control conditions on the sequences {𝛼𝑛} and {𝛽𝑛}, that {𝑥𝑛} converge strongly to a fixed point of 𝑇.

In 2008, Sahu and O’Regan [15] studied several strong convergence theorems for a family of nonexpansive or pseudocontractive nonself-mappings in a reflexive strictly convex Banach space with a uniformly Gâteaux differentiable norm. Recently, Li and Gu [16] studied the sequence generated by the algorithm in Banach spaces, as follows:𝑥1𝑦=𝑥𝐶chosenarbitrarily;𝑛=𝛼𝑛𝑥𝑛+1𝛼𝑛𝑇𝑡𝑛𝑥𝑛;𝑥𝑛+1=𝛽𝑛𝑓𝑥𝑛+1𝛽𝑛𝑦𝑛,𝑛1,(1.10) and they proved the sequence {𝑥𝑛} defined by (1.10) that, converges strongly to the unique solution of the variational inequality:(𝑓𝐼)𝑥,𝐽𝑦𝑥0,𝑦𝐹(𝒯).(1.11) Very recently, Kumam and Wattanawitoon [5] introduced the following new composite explicit iterative schemes defined by given 𝑥0=𝑥𝐶 and𝑥𝑛+1=𝛼𝑛𝑥𝛾𝑓𝑛+𝛽𝑛𝑥𝑛+1𝛽𝑛𝐼𝛼𝑛𝐴1𝑡𝑛𝑡𝑛0𝑇(𝑠)𝑦𝑛𝑦𝑑𝑠,𝑛=𝛿𝑛𝑥𝛾𝑓𝑛+𝛾𝑛𝑥𝑛+1𝛾𝑛𝐼𝛿𝑛𝐴𝑥𝑛,𝑛0,(1.12) for the approximation of common fixed point of a one parameter nonexpansive semigroup in a real Hilbert space under some appropriate control conditions. They proved strong convergence theorems of the composite iterative schemes which solve some variational inequalities under some appropriate conditions.

Question 1. Can the theorem of Marino and Xu [12] be extend from a Hilbert space to a general Banach space, such as uniformly smooth Banach space?

Question 2. Can we extend the iterative method of algorithm (1.10) to a general iterative process?

The purpose of this paper is to give affirmative answer to these questions mentioned above. In this paper, inspired and motivated by the iterative sequence (1.5) given by Marino and Xu [12] and (1.10) given by Li and Gu [16], we introduce a composite iterative algorithm {𝑥𝑛} in a Banach space as follows:𝑥1𝑦=𝑥𝐶chosenarbitrarily;𝑛=𝛽𝑛𝑥𝑛+1𝛽𝑛𝑇𝑡𝑛𝑥𝑛;𝑥𝑛+1=𝛼𝑛𝑥𝛾𝑓𝑛+𝛿𝑛𝑥𝑛+1𝛿𝑛𝐼𝛼𝑛𝐴𝑦𝑛,𝑛1,(1.13) where 𝑓𝐶𝐶 is a contraction mapping, 𝑇(𝑡𝑛) is a nonexpansive semigroup and 𝐴 is a strongly positive linear bounded operator, and prove, under certain different control conditions on the sequences {𝛼𝑛}, {𝛽𝑛}, and {𝛿𝑛}, that {𝑥𝑛} defined by (1.13) converges strongly to a common fixed point, which solves some variational inequality in Banach spaces. The results presented in this paper extend the corresponding results announced by Marino and Xu [12] and some others from Hilbert spaces to Banach spaces.

2. Preliminaries

Throughout this paper, let 𝑋 be a real Banach space, 𝐶 be a closed convex subset of 𝑋. Let 𝐽𝑋2𝑋 be a normalized duality mapping by 𝑓𝐽(𝑥)=𝑋𝑥,𝑓=𝑥2=𝑓2,(2.1) where 𝑋 denotes the dual space of 𝑋 and , denotes the generalized duality paring. In the following, the notation and denote the weak and strong convergence, respectively. Also, a mapping 𝐼𝐶𝐶 denotes the identity mapping.

The norm of a Banach space 𝑋 is said to be Gâteaux differentiable if the limitlim𝑡0𝑥+𝑡𝑦𝑥𝑡(2.2) exists for each 𝑥,𝑦𝐶 on the unit sphere 𝑆(𝑋) of 𝑋. In this case 𝑋 is smooth. Recall that the Banach space 𝑋 is said to be smooth if duality mapping 𝐽 is single valued. In a smooth Banach space, we always assume that 𝐴 is strongly positive (see [17]), that is, a constant 𝛾>0 with the property𝐴𝑥,𝐽(𝑥)𝛾𝑥2,𝑎𝐼𝑏𝐴=sup𝑥1[][].(𝑎𝐼𝑏𝐴)𝑥,𝐽(𝑥),𝑎0,1,𝑏1,1(2.3)

Moreover, if for each 𝑦 in 𝑆(𝑋) the limit (2.2) is uniformly attained for 𝑥𝑆(𝑋), we say that the norm 𝑋 is uniformly Gâteaux differentiable. The norm of 𝑋 is said to be Frêchet differentiable, if for each 𝑥𝑆(𝑋), the limit (2.2) is attained uniformly for 𝑦𝑆(𝑋). The norm of 𝑋 is said to be uniformly Frêchet differentiable (or 𝑋 is said to be uniformly smooth), the limit (2.2) is attained uniformly for (𝑥,𝑦)𝑆(𝑋)×𝑆(𝑋). A Banach space 𝑋 is said to be strictly convex if 𝑥=𝑦=1, 𝑥𝑦 implies 𝑥+𝑦/2<1;  uniformly convex if 𝛿𝑋(𝜖)>0 for all 𝜖>0, where 𝛿𝑋(𝜖) is modulus of convexity of 𝑋 defined by 𝛿𝑋(𝜖)=inf1𝑥+𝑦2[]𝑥1,𝑦1,𝑥+𝑦𝜀,𝜖0,2.(2.4) A uniformly convex Banach space 𝑋 is reflexive and strictly convex (see [18, Theorems 4.1.6 and 4.1.2]) and every uniformly smooth Banach space 𝑋 is a reflexive Banach with uniformly Gâteaux differentiable norm (see [18, Theorems 4.3.7 and 4.1.6]) (also see [19]).

Now, we present the concept of a uniformly asymptotically regular semigroup (see [2022]). Let 𝐶 be a nonempty closed convex subset of a Banach space 𝑋, 𝒯={𝑇(𝑡)𝑡>0} is a continuous operator semigroup on 𝐶. Then 𝒯 is said to uniformly asymptotically regular (in short, u.a.r.) on 𝐶 if for all 0 and any bounded subset 𝐵 of 𝐶,lim𝑡sup𝑥𝐵𝑇()𝑇(𝑡)𝑥𝑇(𝑡)𝑥=0.(2.5)

Lemma 2.1 (Chen and Song [23]). Let 𝐶 be a nonempty closed convex subset of a uniformly Banach space 𝑋, 𝐵 a bounded closed convex subset of 𝐶. If we denote 𝒯={𝑇(𝑡)𝑡>0} a nonexpansive semigroup on 𝐶 such that 𝐹=𝑡>0𝐹(𝑇(𝑡)). For all 0, the set 𝜎𝑡(𝑥)=(1/𝑡)𝑡0𝑇(𝑠)𝑥𝑑𝑠, then lim𝑡sup𝑥𝐵𝜎𝑡(𝑥)𝑇()𝜎𝑡(𝑥)=0.(2.6)

It is easy to check that the set {𝜎𝑡𝑡>0} defined by Lemma 2.1 is a u.a.r. nonexpansive semigroup on 𝐶 (see [24] for more detail).

Lemma 2.2 (Cai and Hu [17]). Assume that 𝐴 is a strongly positive linear bounded operator on a smooth Banach space 𝑋 with coefficient 𝛾>0 and 0<𝜌𝐴1. Then 𝐼𝜌𝐴1𝜌𝛾.

Lemma 2.3 (Suzuki [25]). Let {𝑥𝑛} and {𝑦𝑛} be bounded sequences in a Banach space 𝑋 and let {𝛽𝑛} be a sequence in [0,1] with 0<liminf𝑛𝛽𝑛limsup𝑛𝛽𝑛<1. Suppose 𝑥𝑛+1=(1𝛽𝑛)𝑦𝑛+𝛽𝑛𝑥𝑛 for all integers 𝑛0 and limsup𝑛(𝑦𝑛+1𝑦𝑛𝑥𝑛+1𝑥𝑛)0. Then, lim𝑛𝑦𝑛𝑥𝑛=0.

If a Banach space 𝑋 admits a sequentially continuous duality mapping 𝐽 from weak topology to weak star topology, then by Lemma 1 of [26], we have that duality mapping 𝐽 is a single value. In this case, the duality mapping 𝐽 is said to be a weakly sequentially continuous duality mapping, that is, for each {𝑥𝑛}𝑋 with 𝑥𝑛𝑥, we have 𝐽(𝑥𝑛)𝐽(𝑥) (see [2628] for more details).

A Banach space 𝑋 is said to be satisfying Opial's condition if for any sequence 𝑥𝑛𝑥 for all 𝑥𝑋 implies limsup𝑛𝑥𝑛𝑥<limsup𝑛𝑥𝑛𝑦𝑦𝑋,with𝑥𝑦.(2.7)

By Theorem 1 in [26], it is well known that if 𝑋 admits a weakly sequentially continuous duality mapping, then 𝑋 satisfies Opial's condition and 𝑋 is smooth.

Lemma 2.4 (Demiclosed principle (Jung [27])). Let 𝐶 be a nonempty closed convex subset of a reflexive Banach space 𝑋 which satisfies Opial's condition, and suppose 𝑇𝐶𝑋 is nonexpansive. Then the mapping 𝐼𝑇 is demiclosed at zero, that is, 𝑥𝑛𝑥 and 𝑥𝑛𝑇𝑥𝑛0 implies 𝑥=𝑇𝑥.

Lemma 2.5 (Liu [29]). Let 𝑋 be a real Banach space and 𝐽𝑋2𝑋 be the normalized duality mapping. Then, for any 𝑥,𝑦𝑋, we have 𝑥+𝑦2𝑥2+2𝑦,𝑗(𝑥+𝑦),(2.8) for all 𝑗(𝑥+𝑦)𝐽(𝑥+𝑦) with 𝑥𝑦.

Lemma 2.6 (Aoyama et al. [30]). Let {𝑠𝑛} be a sequence of nonnegative real numbers, {𝑎𝑛} a sequence of [0,1] with 𝑛=1𝑎𝑛=, {𝑐𝑛} a sequence of nonnegative real number with 𝑛=1𝑐𝑛<, and {𝑏𝑛} a sequence of real numbers with limsup𝑛𝑏𝑛0. Suppose that 𝑠𝑛+1=1𝑎𝑛𝑠𝑛+𝑎𝑛𝑏𝑛+𝑐𝑛,(2.9) for all 𝑛. Then lim𝑛𝑠𝑛=0.

3. Main Results

We need following the lemma to prove our theorem.

Lemma 3.1. Let 𝐶 be a nonempty bounded closed convex subset of a reflexive, smooth Banach space 𝑋 with admits a weakly sequentially continuous duality mapping 𝐽 from 𝑋 to 𝑋 with 𝐶±𝐶𝐶 and let 𝒯={𝑇(𝑡)0𝑡<} be a nonexpansive semigroup on 𝐶 such that 𝐹(𝒯). Let 𝑓𝐶𝐶 be a contraction mapping with a coefficient 𝛼(0,1), 𝐴 be a strongly positive linear bounded operator with a coefficient 𝛾>0 such that 0<𝛾<𝛾/𝛼 and {𝜆𝑡}0<𝑡<1 be a net of positive real sequence such that lim𝑡0𝜆𝑡=. Suppose that {𝑇(𝜆𝑡)} is a u.a.r. nonexpansive semigroup. Then the sequence {𝑥𝑡} define by 𝑥𝑡𝑥=𝑡𝛾𝑓𝑡+𝜆(𝐼𝑡𝐴)𝑇𝑡𝑥𝑡,(3.1) converges strongly to the common fixed point 𝑥, where 𝑥 solves the variational inequality 𝑥𝛾𝑓𝐴𝑥,𝐽𝑦𝑥0,𝑦𝐹(𝒯).(3.2)

Proof. Observe that for 𝑡(0,𝐴1). By Lemma 2.2, we have 𝐼𝑡𝐴1𝑡𝛾.
Firstly, we show that {𝑥𝑡} defined by (3.1) is well define. Define the mapping 𝑆𝑓𝐶𝐶 provided by 𝑆𝑓=𝑡𝛾𝑓+(𝐼𝑡𝐴)𝑇(𝜆𝑡), for each 𝑡(0,1). Then, for each 𝑥,𝑦𝐶 that 𝑆𝑓𝑥𝑆𝑓𝑦=𝑇𝜆𝑡𝛾(𝑓(𝑥)𝑓(𝑦))+(𝐼𝑡𝐴)𝑡𝜆𝑥𝑇𝑡𝑦𝑡𝛾𝛼𝑥𝑦+1𝑡𝛾=𝑥𝑦1𝑡𝛾𝛾𝛼𝑥𝑦<𝑥𝑦.(3.3) This show that 𝑆𝑓 is a contraction mapping. Thus, by Banach's contraction principle guarantees that 𝑆𝑓 has a unique fixed point 𝑥𝑡𝐶, that is, 𝑥𝑡 defined by (3.1) is well define.
Next, we show the uniqueness of a solution of the variational inequality (3.2). Supposing 𝑥,̃𝑥𝐹(𝒯) satisfy the inequality (3.2), we have𝑥(𝛾𝑓𝐴)̃𝑥,𝐽(̃𝑥0,𝛾𝑓𝐴)𝑥,𝐽̃𝑥𝑥0.(3.4) Adding up both equations of (3.4), we get that 0(𝛾𝑓𝐴)̃𝑥(𝛾𝑓𝐴)𝑥𝑥,𝐽=𝐴𝑥̃𝑥𝑥̃𝑥,𝐽𝑓𝑥̃𝑥𝛾𝑥𝑓(̃𝑥),𝐽̃𝑥𝛾𝑥̃𝑥2𝑓𝑥𝛾𝐽𝑥𝑓(̃𝑥)̃𝑥𝛾𝑥̃𝑥2𝛾𝛼𝑥̃𝑥2=𝛾𝛾𝛼𝑥̃𝑥2.(3.5) Since 0<𝛾<𝛾/𝛼 this implies that 𝛾𝛾𝛼>0, which is a contradiction. Hence ̃𝑥=𝑥 and the uniqueness is proved.
Next, we show that {𝑥𝑡} is bounded. Indeed, for any 𝑝𝐹(𝒯), we have𝑥𝑡=𝑥𝑝𝑡𝛾𝑓𝑡+𝜆(𝐼𝑡𝐴)𝑇𝑡𝑥𝑡=𝑡𝑥𝑝𝛾𝑓𝑡𝑇𝜆𝐴𝑝+(𝐼𝑡𝐴)𝑡𝑥𝑡𝑥𝑝𝑡𝛾𝑓𝑡𝑇𝜆𝐴𝑝+𝐼𝑡𝐴𝑡𝑥𝑡𝑥𝑝𝑡𝛾𝑓𝑡+𝐴𝑝1𝑡𝛾𝑥𝑡𝛾𝑓𝑥𝑝𝑡𝑡+𝑓(𝑝)+𝛾𝑓(𝑝)𝐴𝑝1𝑡𝛾𝑥𝑡𝑥𝑝𝑡𝛾𝛼𝑡+𝑝+𝛾𝑓(𝑝)𝐴𝑝1𝑡𝛾𝑥𝑡=𝑝1𝑡𝑥𝛾𝛾𝛼𝑡𝑝+𝑡𝛾𝑓(𝑝)𝐴𝑝.(3.6) It follows that 𝑥𝑡𝑝𝛾𝑓(𝑝)𝐴𝑝/(𝛾𝛾𝛼). Hence {𝑥𝑡} is bounded.
Next, we show that 𝑥𝑡𝑇()𝑥𝑡0 as 𝑡0. We observe that𝑥𝑡𝑇()𝑥𝑡𝑥𝑡𝜆𝑇𝑡𝑥𝑡+𝑇𝜆𝑡𝑥𝑡𝜆𝑇()𝑇𝑡𝑥𝑡+𝑇𝜆()𝑇𝑡𝑥𝑡𝑇()𝑥𝑡𝑥2𝑡𝜆𝑇𝑡𝑥𝑡+𝑇𝜆𝑡𝑥𝑡𝜆𝑇()𝑇𝑡𝑥𝑡(3.7) for all 0. On the other hand, we note that 𝑥𝑡𝜆𝑇𝑡𝑥𝑡𝑥=𝑡𝛾𝑓𝑡𝜆𝐴𝑇𝑡𝑥𝑡,(3.8) for all 𝑡>0. By assuming that lim𝑡0𝜆𝑡= and {𝑇(𝜆𝑡)} be a u.a.r. nonexpansive semigroup, then for all 0, we get lim𝜆𝑡𝑇𝜆𝑡𝑥𝑡𝜆𝑇()𝑇𝑡𝑥𝑡lim𝜆𝑡sup𝑧𝐶𝑇𝜆𝑡𝜆𝑧𝑇()𝑇𝑡𝑧=0.(3.9) From (3.7)–(3.9), letting 𝑡0, we get lim𝑡0𝑥𝑡𝑇()𝑥𝑡=0(3.10) for all 0. Assume {𝑡𝑛}𝑛=1(0,1) is such that 𝑡𝑛0 as 𝑛. Put 𝑥𝑛=𝑥𝑡𝑛 and 𝜆𝑛=𝜆𝑡𝑛. We will show that {𝑥𝑛} contains a subsequence converges strongly to 𝑥, where 𝑥𝐹(𝒮). Since {𝑥𝑛} is bounded sequence and Banach space 𝑋 is reflexive, there exists a subsequence {𝑥𝑛𝑗} of {𝑥𝑛} which converges weakly to 𝑥𝐶 as 𝑗. Again since Banach space 𝑋 has a weakly sequentially continuous duality mapping satisfying Opial's condition. It follows by Lemma 2.4 and noting (3.10), we have 𝑥𝐹(𝒯). For each 𝑛1, we note that 𝑥𝑛𝑥=𝑡𝑛𝑥𝛾𝑓𝑛+𝐼𝑡𝑛𝐴𝑇𝜆𝑛𝑥𝑛𝑥=𝑡𝑛𝑥𝛾𝑓𝑛𝐴𝑥+𝐼𝑡𝑛𝐴𝑇𝜆𝑛𝑥𝑛𝑥.(3.11) Thus, we have 𝑥𝑛𝑥2=𝑡𝑛𝑥𝛾𝑓𝑛𝐴𝑥𝑥,𝐽𝑛𝑥+𝐼𝑡𝑛𝐴𝑇𝜆𝑛𝑥𝑛𝑥𝑥,𝐽𝑛𝑥𝑡𝑛𝑥𝛾𝑓𝑛𝐴𝑥𝑥,𝐽𝑛𝑥+𝐼𝑡𝑛𝐴𝑇𝜆𝑛𝑥𝑛𝑥𝐽𝑥𝑛𝑥𝑡𝑛𝑥𝛾𝑓𝑛𝐴𝑥𝑥,𝐽𝑛𝑥+1𝑡𝑛𝛾𝑥𝑛𝑥2.(3.12) It follows that 𝑥𝑛𝑥21𝛾𝑥𝛾𝑓𝑛𝐴𝑥𝑥,𝐽𝑛𝑥=1𝛾𝑥𝛾𝑓𝑛𝑥𝛾𝑓𝑥,𝐽𝑛𝑥+𝑥𝛾𝑓𝐴𝑥𝑥,𝐽𝑛𝑥1𝛾𝑥𝛾𝛼𝑛𝑥2+𝑥𝛾𝑓𝐴𝑥𝑥,𝐽𝑛𝑥.(3.13) Hence, 𝑥𝑛𝑥21𝑥𝛾𝛾𝛼𝛾𝑓𝐴𝑥𝑥,𝐽𝑛𝑥.(3.14) In particular, we have 𝑥𝑛𝑗𝑥21𝑥𝛾𝛾𝛼𝛾𝑓𝐴𝑥𝑥,𝐽𝑛𝑗𝑥.(3.15) Since {𝑥𝑛} is bounded and the duality mapping 𝐽 is single-valued and weakly sequentially continuous from 𝑋 into 𝑋, it follows (3.15), we have 𝑥𝑛𝑗𝑥 as 𝑗.
Next, we show that 𝑥 solves the variational inequality (3.2). Since𝑥𝑡𝑥=𝑡𝛾𝑓𝑡+𝜆(𝐼𝑡𝐴)𝑇𝑡𝑥𝑡,(3.16) we derive that (𝛾𝑓𝐴)𝑥𝑡1=𝑡𝑇𝜆(𝐼𝑡𝐴)𝑡𝑥𝑡𝑥𝑡.(3.17) Notice that 𝑇𝜆𝑡𝑥𝑡𝑥𝑡𝑇𝜆𝑡𝑦𝑦,𝐽𝑦𝑥𝑡𝑥𝑡𝑦2𝑇𝜆𝑡𝑥𝑡𝜆𝑇𝑡𝑦𝑥𝑡𝑥𝑦𝑡𝑦2𝑥𝑡𝑦2=0.(3.18) It follows that, for any 𝑦𝐹(𝒯), (𝛾𝑓𝐴)𝑥𝑡,𝐽𝑦𝑥𝑡1=𝑡𝑇𝜆(𝐼𝑡𝐴)𝑡𝑥𝑡𝑥𝑡,𝐽𝑦𝑥𝑡1=𝑡𝑇𝜆𝑡𝑥𝑡𝑥𝑡𝑇𝜆𝑡𝑦𝑦,𝐽𝑦𝑥𝑡+𝐴𝑇𝜆𝑡𝑥𝑡𝑥𝑡,𝐽𝑦𝑥𝑡𝐴𝑇𝜆𝑡𝑥𝑡𝑥𝑡,𝐽𝑦𝑥𝑡.(3.19) Now, replacing 𝑡 and 𝜆𝑡 with 𝑡𝑛𝑗 and 𝜆𝑛𝑗, respectively in (3.19), and letting 𝑗, noting (3.8), we obtain (𝛾𝑓𝐴)𝑥,𝐽(𝑦𝑥)0. That is, 𝑥 is a solution of variational inequality (3.2). By uniqueness, as 𝑥=̃𝑥, we have shown that each cluster point of the sequence {𝑥𝑡} is equal to 𝑥. Then, we conclude that 𝑥𝑡𝑥 as 𝑡0. This completes the proof.

Now, we prove the following theorem which is the main result of this paper.

Theorem 3.2. Let 𝐶 be a nonempty bounded closed convex subset of a uniformly smooth Banach space 𝑋 which admit a weakly sequentially continuous duality mapping from 𝑋 into 𝑋 with 𝐶±𝐶𝐶 and 𝒯={𝑇(𝑡)0𝑡<} be a nonexpansive semigroup on 𝐶 such that 𝐹(𝒯). Let 𝑓𝐶𝐶 be a contraction mapping with a coefficient 𝛼(0,1) and 𝐴 be a strongly positive bounded linear operator with coefficient 𝛾>0 such that 0<𝛾<𝛾/𝛼. Let {𝛼𝑛}𝑛=1, {𝛽𝑛}𝑛=1, {𝛿𝑛}𝑛=1 be the sequences in (0,1) and {𝑡𝑛}𝑛=1 be a positive real divergent sequence such that 𝑡𝑛𝑡𝑛+1 for all 𝑛. Assume the following control conditions are hold: (𝐶1)lim𝑛𝛼𝑛=0 and 𝑛=1𝛼𝑛=; (𝐶2)𝑛=1|𝛼𝑛+1𝛼𝑛|<, 𝑛=1|𝛽𝑛+1𝛽𝑛|< and 𝑛=1|𝛿𝑛+1𝛿𝑛|<; (𝐶3)𝑛=1sup𝑧𝐶{𝑇()𝑇(𝑡𝑛)𝑧𝑇(𝑡𝑛)𝑧}< for all 0.Then the sequence {𝑥𝑛} defined by (1.13) converges strongly to the common fixed point 𝑥, where 𝑥 is the unique solution in 𝐹(𝒯) of the variational inequality (3.2).

Proof. First, we show that {𝑥𝑛} is bounded. By the control condition (𝐶1), we may assume, without loss of generality, that 𝛼𝑛(1𝛿𝑛)𝐴1 for all 𝑛0. Since 𝐴 is a linear bounded operator on 𝑋, by (2.3), we have 𝐴=sup{|𝐴𝑢,𝐽(𝑢)|𝑢𝑋,𝑢=1}. Observe that 1𝛿𝑛𝐼𝛼𝑛𝐴𝑢,𝐽(𝑢)=1𝛿𝑛𝛼𝑛𝐴𝑢,𝐽(𝑢)1𝛿𝑛𝛼𝑛𝐴0,(3.20) that is to say (1𝛿𝑛)𝐼𝛼𝑛𝐴 is positive. It follows that 1𝛿𝑛𝐼𝛼𝑛𝐴=sup1𝛿𝑛𝐼𝛼𝑛𝐴𝑢,𝐽(𝑢)𝑢𝑋,𝑢=1=sup1𝛿𝑛𝛼𝑛𝐴𝑢,𝐽(𝑢)𝑢𝑋,𝑢=11𝛿𝑛𝛼𝑛𝛾.(3.21) For any 𝑝𝐹(𝒯), we compute 𝑦𝑛=𝛽𝑝𝑛𝑥𝑛+1𝛽𝑛𝑇𝑡𝑛𝑥𝑛=𝛽𝑝𝑛𝑥𝑛+𝑝1𝛽𝑛𝑇𝑡𝑛𝑥𝑛𝑝𝛽𝑛𝑥𝑛+𝑝1𝛽𝑛𝑇𝑡𝑛𝑥𝑛𝑝𝛽𝑛𝑥𝑛+𝑝1𝛽𝑛𝑥𝑛=𝑥𝑝𝑛,𝑥𝑝𝑛+1=𝛼𝑝𝑛𝑥𝛾𝑓𝑛+𝛿𝑛𝑥𝑛+1𝛿𝑛𝐼𝛼𝑛𝐴𝑦𝑛=𝛼𝑝𝑛𝑥𝛾𝑓𝑛𝐴𝑝+𝛿𝑛𝑥𝑛+𝑝1𝛿𝑛𝐼𝛼𝑛𝐴𝑦𝑛𝑝𝛼𝑛𝛾𝑓𝑥𝑛𝑓(𝑝)+𝛾𝑓(𝑝)𝐴𝑝+𝛿𝑛𝑥𝑛+𝑝1𝛿𝑛𝐼𝛼𝑛𝐴𝑦𝑛𝑝𝛼𝑛𝑥𝛾𝛼𝑛𝑝+𝛾𝑓(𝑝)𝐴𝑝+𝛿𝑛𝑥𝑛+𝑝1𝛿𝑛𝛼𝑛𝛾𝑥𝑛=𝑝1𝛼𝛾𝛾𝛼𝑛𝑥𝑛+𝑝𝛼𝛾𝛾𝛼𝑛𝛾𝑓(𝑝)𝐴𝑝.𝛾𝛾𝛼(3.22) By induction, we get 𝑥𝑛+1𝑥𝑝max1,(𝑝𝛾𝑓𝑝)𝐴𝑝𝛾𝛾𝛼,(3.23) for 𝑛1. Hence {𝑥𝑛} is bounded, so are {𝑦𝑛}, {𝑓(𝑥𝑛)} and {𝑇(𝑡𝑛)𝑥𝑛}.
Next, we show that lim𝑛𝑥𝑛+1𝑥𝑛=0. From definition of {𝑦𝑛}, observing that 𝑦𝑛=𝛽𝑛𝑥𝑛+1𝛽𝑛𝑇𝑡𝑛𝑥𝑛,𝑦𝑛+1=𝛽𝑛+1𝑥𝑛+1+1𝛽𝑛+1𝑇𝑡𝑛+1𝑥𝑛+1.(3.24) We note that 𝑦𝑛+1𝑦𝑛=𝛽𝑛+1𝑥𝑛+1+1𝛽𝑛+1𝑇𝑡𝑛+1𝑥𝑛+1𝛽𝑛𝑥𝑛1𝛽𝑛𝑇𝑡𝑛𝑥𝑛=1𝛽𝑛+1𝑇𝑡𝑛+1𝑥𝑛+1𝑡𝑇𝑛𝑥𝑛+𝛽𝑛+1𝑥𝑛+1𝑥𝑛+𝛽𝑛+1𝛽𝑛𝑥𝑛𝑡𝑇𝑛𝑥𝑛.(3.25) It follows that 𝑦𝑛+1𝑦𝑛1𝛽𝑛+1𝑇𝑡𝑛+1𝑥𝑛+1𝑡𝑇𝑛𝑥𝑛+𝛽𝑛+1𝑥𝑛+1𝑥𝑛+||𝛽𝑛+1𝛽𝑛||𝑥𝑛𝑡𝑇𝑛𝑥𝑛.(3.26) Now, we consider the first term on the right side of (3.2), we have 𝑇𝑡𝑛+1𝑥𝑛+1𝑡𝑇𝑛𝑥𝑛𝑇𝑡𝑛+1𝑥𝑛+1𝑡𝑇𝑛+1𝑥𝑛+𝑇𝑡𝑛+1𝑥𝑛𝑡𝑇𝑛𝑥𝑛𝑥𝑛+1𝑥𝑛+𝑇𝑡𝑛+1𝑥𝑛𝑡𝑇𝑛𝑥𝑛.(3.27)
Substituting (3.27) into (3.26), we get𝑦𝑛+1𝑦𝑛1𝛽𝑛+1𝑥𝑛+1𝑥𝑛+1𝛽𝑛+1𝑇𝑡𝑛+1𝑥𝑛𝑡𝑇𝑛𝑥𝑛+𝛽𝑛+1𝑥𝑛+1𝑥𝑛+||𝛽𝑛+1𝛽𝑛||𝑥𝑛𝑡𝑇𝑛𝑥𝑛𝑥𝑛+1𝑥𝑛+𝑇𝑡𝑛+1𝑥𝑛𝑡𝑇𝑛𝑥𝑛+||𝛽𝑛+1𝛽𝑛||𝑥𝑛𝑡𝑇𝑛𝑥𝑛=𝑥𝑛+1𝑥𝑛+𝑇𝑡𝑛+1𝑡𝑛𝑇𝑡𝑛𝑥𝑛𝑡𝑇𝑛𝑥𝑛+||𝛽𝑛+1𝛽𝑛||𝑥𝑛𝑡𝑇𝑛𝑥𝑛𝑥𝑛+1𝑥𝑛+sup𝑧𝐶𝑇𝑡𝑛+1𝑡𝑛𝑇𝑡𝑛𝑡𝑧𝑇𝑛𝑧+||𝛽𝑛+1𝛽𝑛||𝑥𝑛𝑡𝑇𝑛𝑥𝑛.(3.28) Similarly, from definition of {𝑥𝑛}, observing that 𝑥𝑛+1=𝛼𝑛𝑥𝛾𝑓𝑛+𝛿𝑛𝑥𝑛+1𝛿𝑛𝐼𝛼𝑛𝐴𝑦𝑛,𝑥𝑛+2=𝛼𝑛+1𝑥𝛾𝑓𝑛+1+𝛿𝑛+1𝑥𝑛+1+1𝛿𝑛+1𝐼𝛼𝑛+1𝐴𝑦𝑛+1.(3.29) We note that 𝑥𝑛+2𝑥𝑛+1=𝛼𝑛+1𝑥𝛾𝑓𝑛+1+𝛿𝑛+1𝑥𝑛+1+1𝛿𝑛+1𝐼𝛼𝑛+1𝐴𝑦𝑛+1𝛼𝑛𝑥𝛾𝑓𝑛𝛿𝑛𝑥𝑛1𝛿𝑛𝐼𝛼𝑛𝐴𝑦𝑛=1𝛿𝑛+1𝐼𝛼𝑛+1𝐴𝑦𝑛+1𝑦𝑛𝛼𝑛+1𝛼𝑛𝐴𝑦𝑛𝛿𝑛+1𝛿𝑛𝑦𝑛+𝛿𝑛+1𝑥𝑛+1𝛿𝑛𝑥𝑛𝛼+𝛾𝑛+1𝑓𝑥𝑛+1𝛼𝑛𝑓𝑥𝑛=1𝛿𝑛+1𝐼𝛼𝑛+1𝐴𝑦𝑛+1𝑦𝑛+𝛿𝑛+1𝑥𝑛+1𝛿𝑛+1𝑥𝑛+𝛾𝛼𝑛+1𝑓𝑥𝑛+1𝑥𝑓𝑛+𝛼𝑛+1𝛼𝑛𝑥𝛾𝑓𝑛𝐴𝑦𝑛+𝛿𝑛+1𝛿𝑛𝑥𝑛𝑦𝑛.(3.30) It follows that 𝑥𝑛+2𝑥𝑛+11𝛿𝑛+1𝐼𝛼𝑛+1𝐴𝑦𝑛+1𝑦𝑛+𝛿𝑛+1𝑥𝑛+1𝑥𝑛+𝛾𝛼𝑛+1𝑓𝑥𝑛+1𝑥𝑓𝑛+||𝛼𝑛+1𝛼𝑛||𝑥𝛾𝑓𝑛𝐴𝑦𝑛+||𝛿𝑛+1𝛿𝑛||𝑥𝑛𝑦𝑛1𝛿𝑛+1𝛼𝑛+1𝛾𝑦𝑛+1𝑦𝑛+𝛿𝑛+1𝑥𝑛+1𝑥𝑛+𝛾𝛼𝛼𝑛+1𝑥𝑛+1𝑥𝑛+||𝛼𝑛+1𝛼𝑛||𝛾𝑓𝑥𝑛+𝐴𝑦𝑛+||𝛿𝑛+1𝛿𝑛||𝑥𝑛𝑦𝑛.(3.31) Substituting (3.28) into (3.31), we get 𝑥𝑛+2𝑥𝑛+11𝛼𝛾𝛾𝛼𝑛+1𝑥𝑛+1𝑥𝑛+1𝛿𝑛+1𝛼𝑛+1𝛾sup𝑧𝐶𝑇𝑡𝑛+1𝑡𝑛𝑇𝑡𝑛𝑡𝑧𝑇𝑛𝑧+1𝛿𝑛+1𝛼𝑛+1𝛾||𝛽𝑛+1𝛽𝑛||𝑥𝑛𝑡𝑇𝑛𝑥𝑛+||𝛼𝑛+1𝛼𝑛||𝛾𝑓𝑥𝑛+𝐴𝑦𝑛+||𝛿𝑛+1𝛿𝑛||1𝛽𝑛𝑇𝑡𝑛𝑥𝑛𝑥𝑛1𝛼𝛾𝛾𝛼𝑛+1𝑥𝑛+1𝑥𝑛+sup𝑧𝐶𝑇𝑡𝑛+1𝑡𝑛𝑇𝑡𝑛𝑡𝑧𝑇𝑛𝑧+||𝛽𝑛+1𝛽𝑛||𝑥𝑛𝑡𝑇𝑛𝑥𝑛+||𝛼𝑛+1𝛼𝑛||𝛾𝑓𝑥𝑛+𝐴𝑦𝑛+||𝛿𝑛+1𝛿𝑛||𝑇𝑡𝑛𝑥𝑛𝑥𝑛1𝛼𝛾𝛾𝛼𝑛+1𝑥𝑛+1𝑥𝑛+sup𝑧𝐶𝑇𝑡𝑛+1𝑡𝑛𝑇𝑡𝑛𝑡𝑧𝑇𝑛𝑧+𝑀1||𝛼𝑛+1𝛼𝑛||+||𝛽𝑛+1𝛽𝑛||+||𝛿𝑛+1𝛿𝑛||,(3.32) where 𝑀1 is an appropriate constant such that 𝑀1𝑥𝑛𝑡𝑇𝑛𝑥𝑛𝑓𝑥+𝛾𝑛+𝐴𝑦𝑛𝑛.(3.33) Putting 𝑐𝑛=𝑀1(|𝛼𝑛+1𝛼𝑛|+|𝛽𝑛+1𝛽𝑛|+|𝛿𝑛+1𝛿𝑛|)+sup𝑧𝐶𝑇(𝑡𝑛+1𝑡𝑛)𝑇(𝑡𝑛)𝑧𝑇(𝑡𝑛)𝑧, observing control conditions (𝐶2) and (𝐶3), we have 𝑛=1𝑐𝑛=𝑛=1𝑀1||𝛼𝑛+1𝛼𝑛||+||𝛽𝑛+1𝛽𝑛||+||𝛿𝑛+1𝛿𝑛||+sup𝑧𝐶𝑇𝑡𝑛+1𝑡𝑛𝑇𝑡𝑛𝑡𝑧𝑇𝑛𝑧𝑀1𝑛=1||𝛼𝑛+1𝛼𝑛||+||𝛽𝑛+1𝛽𝑛||+||𝛿𝑛+1𝛿𝑛||+𝑛=1sup𝑧𝐶𝑇𝑡𝑛+1𝑡𝑛𝑇𝑡𝑛𝑡𝑧𝑇𝑛𝑧<.(3.34) Hence, by Lemma 2.6 to (3.32), we get that lim𝑛𝑥𝑛+1𝑥𝑛=0.(3.35) Next, we show that lim𝑛𝑇()𝑥𝑛𝑥𝑛=0.(3.36) Observe that 𝑦𝑛𝑥𝑛𝑥𝑛𝑥𝑛+1+𝑥𝑛+1𝑦𝑛=𝑥𝑛𝑥𝑛+1+𝛼𝑛𝑥𝛾𝑓𝑛+𝛿𝑛𝑥𝑛𝑦𝑛𝛼𝑛𝐴𝑦𝑛𝑥𝑛𝑥𝑛+1+𝛿𝑛𝑥𝑛𝑦𝑛+𝛼𝑛𝛾𝑓𝑥𝑛+𝐴𝑦𝑛.(3.37) It follows that 𝑦𝑛𝑥𝑛11𝛿𝑛𝑥𝑛𝑥𝑛+1+𝛼𝑛𝛾𝑓𝑥𝑛+𝐴𝑦𝑛.(3.38) Observing control condition (𝐶1) and noting (3.10), we have lim𝑛𝑦𝑛𝑥𝑛=0.(3.39) Moreover, we note that 𝑥𝑛𝑡𝑇𝑛𝑥𝑛𝑥𝑛𝑦𝑛+𝑦𝑛𝑡𝑇𝑛𝑥𝑛=𝑥𝑛𝑦𝑛+𝛽𝑛𝑥𝑛𝑡𝑇𝑛𝑥𝑛.(3.40) It follows that 𝑥𝑛𝑡𝑇𝑛𝑥𝑛11𝛽𝑛𝑥𝑛𝑦𝑛.(3.41) Noting (3.19), hence lim𝑛𝑥𝑛𝑡𝑇𝑛𝑥𝑛=0.(3.42) On the other hand, we note that 𝑇()𝑥𝑛𝑥𝑛𝑇()𝑥𝑛𝑡𝑇()𝑇𝑛𝑥𝑛+𝑇𝑡()𝑇𝑛𝑥𝑛𝑡𝑇𝑛𝑥𝑛+𝑇𝑡𝑛𝑥𝑛𝑥𝑛𝑥2𝑛𝑡𝑇𝑛𝑥𝑛+𝑡𝑇()𝑇𝑛𝑥𝑛𝑡𝑇𝑛𝑥𝑛𝑥2𝑛𝑡𝑇𝑛𝑥𝑛+sup𝑧𝐶𝑇𝑡()𝑇𝑛𝑡𝑧𝑇𝑛𝑧.(3.43) Therefor, by (3.26) and control condition (𝐶3) imply that lim𝑛sup𝑧𝐶𝑇()𝑇(𝑡𝑛)𝑧𝑇(𝑡𝑛)𝑧=0, we have lim𝑛𝑇()𝑥𝑛𝑥𝑛=0.(3.44)
Next, we show thatlimsup𝑛𝑥𝛾𝑓𝐴𝑥𝑥,𝐽𝑛𝑥0.(3.45)
For each 𝑡(0,1), let 𝑥𝑡 be a unique point of 𝐶 such that 𝑥𝑡=𝑡𝛾𝑓(𝑥𝑡)+(𝐼𝑡𝐴)𝑇(𝜆𝑡)𝑥𝑡. By Lemma 3.1, we have𝑥𝑡𝑥𝑛2(𝐼𝑡𝐴)(𝑇(𝜆𝑡)𝑥𝑡𝑥𝑛)2𝑥+2𝑡𝛾𝑓𝑡𝐴𝑥𝑛𝑥,𝐽𝑡𝑥𝑛𝐼𝑡𝐴2𝑇(𝜆𝑡)𝑥𝑡𝑥𝑛2𝑥+2𝑡𝛾𝑓𝑡𝐴𝑥𝑛𝑥,𝐽𝑡𝑥𝑛1𝑡𝛾2𝑇𝜆𝑡𝑥𝑡𝜆𝑇𝑡𝑥𝑛+𝑇𝜆𝑡𝑥𝑛𝑥𝑛2𝑥+2𝑡𝛾𝑓𝑡𝐴𝑥𝑛𝑥,𝐽𝑡𝑥𝑛12𝛾𝑡+𝛾2𝑡2𝑥𝑡𝑥𝑛2+𝑓𝑛𝑥(𝑡)+2𝑡𝛾𝑓𝑡𝐴𝑥𝑡𝑥,𝐽𝑡𝑥𝑛+2𝑡𝐴𝑥𝑡𝐴𝑥𝑛𝑥,𝐽𝑡𝑥𝑛,(3.46) where 𝑓𝑛(𝑡)=(2𝑥𝑡𝑥𝑛+𝑥𝑛𝑇(𝜆𝑡)𝑥𝑛)𝑥𝑛𝑇(𝜆𝑡)𝑥𝑛.
On the other hand, observe that 𝐴 is a strongly positive linear bounded operator, it follows from (2.3), we have𝐴𝑥𝑡𝐴𝑥𝑛𝑥,𝐽𝑡𝑥𝑛=𝐴𝑥𝑡𝑥𝑛𝑥,𝐽𝑡𝑥𝑛𝛾𝑥𝑡𝑥𝑛2.(3.47) Combining (3.47) with (3.46), we have 2𝑡𝐴𝑥𝑡𝑥𝛾𝑓𝑡𝑥,𝐽𝑡𝑥𝑛𝛾2𝑡22𝑥𝛾𝑡𝑡𝑥𝑛2+𝑎𝑛(𝑡)+2𝑡𝐴𝑥𝑡𝐴𝑥𝑛𝑥,𝐽𝑡𝑥𝑛𝛾𝑡22𝑡𝐴𝑥𝑡𝐴𝑥𝑛𝑥,𝐽𝑡𝑥𝑛+2𝑡𝐴𝑥𝑡𝐴𝑥𝑛𝑥,𝐽𝑡𝑥𝑛+𝑓𝑛=(𝑡)𝛾𝑡2𝐴𝑥𝑡𝐴𝑥𝑛𝑥,𝐽𝑡𝑥𝑛+𝑓𝑛(𝑡).(3.48) It follows that 𝐴𝑥𝑡𝑥𝛾𝑓𝑡𝑥,𝐽𝑡𝑥𝑛𝛾𝑡2𝐴𝑥𝑡𝐴𝑥𝑛𝑥,𝐽𝑡𝑥𝑛+1𝑓2𝑡𝑛(𝑡).(3.49) Now, taking limit superior as 𝑛 firstly, and then as 𝑡0 in (3.49) (using (3.44)), we have limsup𝑛𝐴𝑥𝑡𝑥𝛾𝑓𝑡𝑥,𝐽𝑡𝑥𝑛𝑡2𝑀2,(3.50) where 𝑀2>0 is a constant such that 𝑀2𝛾𝐴𝑥𝑡𝐴𝑥𝑛,𝐽(𝑥𝑡𝑥𝑛) for all 𝑡(0,1) and 𝑛1. Now, taking limit superior as 𝑡0 in (3.50). Hence, we get limsup𝑡0limsup𝑛𝐴𝑥𝑡𝑥𝛾𝑓𝑡𝑥,𝐽𝑡𝑥𝑛0.(3.51) Moreover, we note that 𝑥𝛾𝑓𝐴𝑥𝑥,𝐽𝑛𝑥𝑥=𝛾𝑓𝐴𝑥𝑥,𝐽𝑛𝑥𝑥𝛾𝑓𝐴𝑥𝑥,𝐽𝑛𝑥𝑡𝑥+𝛾𝑓𝐴𝑥𝑥,𝐽𝑛𝑥𝑡𝑥𝛾𝑓𝐴𝑥𝑡𝑥,𝐽𝑛𝑥𝑡𝑥+𝛾𝑓𝐴𝑥𝑡𝑥,𝐽𝑛𝑥𝑡𝑥𝛾𝑓𝑡𝐴𝑥𝑡𝑥,𝐽𝑛𝑥𝑡+𝑥𝛾𝑓𝑡𝐴𝑥𝑡𝑥,𝐽𝑛𝑥𝑡𝑥=𝛾𝑓𝐴𝑥𝑥,𝐽𝑛𝑥𝑥𝐽𝑛𝑥𝑡+𝐴𝑥𝑡𝐴𝑥𝑥,𝐽𝑛𝑥𝑡+𝑥𝛾𝑓𝑥𝛾𝑓𝑡𝑥,𝐽𝑛𝑥𝑡+𝑥𝛾𝑓𝑡𝐴𝑥𝑡𝑥,𝐽𝑛𝑥𝑡.(3.52) Taking limit superior as 𝑛 in (3.52), we have limsup𝑛𝑥𝛾𝑓𝐴𝑥𝑥,𝐽𝑛𝑥limsup𝑛𝑥𝛾𝑓𝐴𝑥𝑥,𝐽𝑛𝑥𝑥𝐽𝑛𝑥𝑡𝑥+𝐴𝑡𝑥limsup𝑛𝑥𝑛𝑥𝑡+𝑥𝛾𝑓𝑥𝛾𝑓𝑡limsup𝑛𝑥𝑛𝑥𝑡+limsup𝑛𝑥𝛾𝑓𝑡𝐴𝑥𝑡𝑥,𝐽𝑛𝑥𝑡limsup𝑛𝑥𝛾𝑓𝐴𝑥𝑥,𝐽𝑛𝑥𝑥𝐽𝑛𝑥𝑡𝑥+(𝐴+𝛾𝛼)𝑡𝑥limsup𝑛𝑥𝑛𝑥𝑡+limsup𝑛𝑥𝛾𝑓𝑡𝐴𝑥𝑡𝑥,𝐽𝑛𝑥𝑡.(3.53) By Lemma 3.1, 𝑥𝑡𝑥𝐹(𝒯) as 𝑡0. Since 𝑋 is a uniformly smooth Banach space, imply that 𝐽 is norm-to-norm uniformly continuous on bounded subset of 𝐶 (see, e.g., [18, Lemma 1]), we obtain limsup𝑡0limsup𝑛𝑥𝛾𝑓𝐴𝑥𝑥,𝐽𝑛𝑥𝑥𝐽𝑛𝑥𝑡=0.(3.54) Therefore, from (3.53), we have limsup𝑛𝑥𝛾𝑓𝐴𝑥𝑥,𝐽𝑛𝑥=limsup𝑡0limsup𝑛𝑥𝛾𝑓𝐴𝑥𝑥,𝐽𝑛𝑥limsup𝑡0limsup𝑛𝑥𝛾𝑓𝑡𝐴𝑥𝑡𝑥,𝐽𝑛𝑥𝑡0.(3.55)
Finally, we show that lim𝑛𝑥𝑛𝑥=0. By Lemma 2.5, we have𝑥𝑛+1𝑥2=𝛼𝑛𝛾𝑓(𝑥𝑛)+𝛿𝑛𝑥𝑛+1𝛿𝑛𝐼𝛼𝑛𝐴𝑦𝑛𝑥2=1𝛿𝑛𝐼𝛼𝑛𝐴(𝑦𝑛𝑥)+𝛿𝑛(𝑥𝑛𝑥)+𝛼𝑛𝑥𝛾𝑓𝑛𝐴𝑥21𝛿𝑛𝐼𝛼𝑛𝐴(𝑦𝑛𝑥)+𝛿𝑛(𝑥𝑛𝑥)2+2𝛼𝑛𝑥𝛾𝑓𝑛𝐴𝑥𝑥,𝐽𝑛+1𝑥1𝛿𝑛𝐼𝛼𝑛𝐴𝑦𝑛𝑥+𝛿𝑛𝑥𝑛𝑥2+2𝛼𝑛𝑥𝛾𝑓𝑛𝐴𝑥𝑥,𝐽𝑛+1𝑥1𝛿𝑛𝐼𝛼𝑛𝐴𝑦𝑛𝑥+𝛿𝑛𝑥𝑛𝑥2+2𝛼𝑛𝑥𝛾𝑓𝑛𝐴𝑥𝑥,𝐽𝑛+1𝑥1𝛿𝑛𝛼𝑛𝛾𝑥𝑛𝑥+𝛿𝑛𝑥𝑛𝑥2+2𝛼𝑛𝑥𝛾𝑓𝑛𝐴𝑥𝑥,𝐽𝑛+1𝑥1𝛼𝑛𝛾2𝑥𝑛𝑥2+2𝛼𝑛𝑥𝛾𝑓𝑛𝑥𝛾𝑓𝑥,𝐽𝑛+1𝑥+2𝛼𝑛𝑥𝛾𝑓𝐴𝑥𝑥,𝐽𝑛+1𝑥1𝛼𝑛𝛾2𝑥𝑛𝑥2+2𝛼𝑛𝑥𝛾𝛼𝑛𝑥𝑥𝑛+1𝑥+2𝛼𝑛𝑥𝛾𝑓𝐴𝑥𝑥,𝐽𝑛+1𝑥1𝛼𝑛𝛾2𝑥𝑛𝑥2+𝛼𝑛𝑥𝛾𝛼𝑛𝑥2+𝑥𝑛+1𝑥2+2𝛼𝑛𝑥𝛾𝑓𝐴𝑥𝑥,𝐽𝑛+1𝑥.(3.56) It follows that 𝑥𝑛+1𝑥21𝛼𝑛𝛾2+𝛼𝑛𝛾𝛼1𝛼𝑛𝑥𝛾𝛼𝑛𝑥2+2𝛼𝑛1𝛼𝑛𝑥𝛾𝛼𝛾𝑓𝐴𝑥𝑥,𝐽𝑛+1𝑥=12𝛼𝑛𝛾+𝛼𝑛𝛾𝛼1𝛼𝑛𝑥𝛾𝛼𝑛𝑥2+𝛼2𝑛𝛾21𝛼𝑛𝑥𝛾𝛼𝑛𝑥2+2𝛼𝑛1𝛼𝑛𝑥𝛾𝛼𝛾𝑓𝐴𝑥𝑥,𝐽𝑛+1𝑥=12𝛼𝑛𝛾𝛾𝛼1𝛼𝑛𝑥𝛾𝛼𝑛𝑥2+𝛼2𝑛𝛾21𝛼𝑛𝑥𝛾𝛼𝑛𝑥2+2𝛼𝑛1𝛼𝑛𝑥𝛾𝛼𝛾𝑓𝐴𝑥𝑥,𝐽𝑛+1𝑥.(3.57) Put 𝑎𝑛=2𝛼𝑛(𝛾𝛾𝛼)/(1𝛼𝑛𝛾𝛼) and 𝑏𝑛=(𝛼𝑛𝛾2/2(𝛾𝛾𝛼))𝑥𝑛𝑥2+(1/(𝛾𝛾𝛼))𝛾𝑓(𝑥)𝐴𝑥,𝐽(𝑥𝑛+1𝑥). The above reduces to formula 𝑥𝑛+1𝑥2(1𝑎𝑛)𝑥𝑛𝑥2+𝑎𝑛𝑏𝑛. Observing control condition (𝐶1) and noting (3.55), it is easily seen that 𝑛=1𝑎𝑛= and limsup𝑛𝑏𝑛0. By Lemma 2.6, we conclude that lim𝑛𝑥𝑛𝑥=0. This completes the proof.

Corollary 3.3. Let 𝐶 be a nonempty bounded closed convex subset of a real Hilbert space 𝐻 with 𝐶±𝐶𝐶 and 𝒯={𝑇(𝑡)0𝑡<} be a nonexpansive semigroup on 𝐶 such that 𝐹(𝒯). Let 𝑓𝐶𝐶 be a contraction mapping with a coefficient 𝛼(0,1) and 𝐴 be a strongly positive bounded linear operator with coefficient 𝛾>0 such that 0<𝛾<𝛾/𝛼. Let {𝛼𝑛}𝑛=1, {𝛽𝑛}𝑛=1, {𝛿𝑛}𝑛=1 be the sequences in (0,1) and {𝑡𝑛}𝑛=1 be a positive real divergent sequence such that 𝑡𝑛𝑡𝑛+1 for all 𝑛. Assume that the following control conditions that hold: (𝐶1)lim𝑛𝛼𝑛=0 and 𝑛=1𝛼𝑛=; (𝐶2)𝑛=1|𝛼𝑛+1𝛼𝑛|<, 𝑛=1|𝛽𝑛+1𝛽𝑛|<, and 𝑛=1|𝛿𝑛+1𝛿𝑛|<; (𝐶3)𝑛=1sup𝑧𝐶{𝑇()𝑇(𝑡𝑛)𝑧𝑇(𝑡𝑛)𝑧}< for all 0.Then the sequence {𝑥𝑛} defined by (1.13) converges strongly to the common fixed point 𝑥, where 𝑥 is the unique solution in 𝐹(𝒯) of the variational inequality (1.6).

Proof. From Theorem 3.2, if 𝑋=𝐻 is a real Hilbert space, we get the desired conclusion easily.

Corollary 3.4. Let 𝐶 be a nonempty bounded closed convex subset of a uniformly smooth Banach space 𝑋 which admit a weakly sequentially continuous duality mapping from 𝑋 into 𝑋 and 𝒯={𝑇(𝑡)0𝑡<} be a nonexpansive semigroup mapping on 𝐶 such that 𝐹(𝒯). Let 𝑓𝐶𝐶 be a contraction mapping with a coefficient 𝛼(0,1). Let {𝛼𝑛}𝑛=1, {𝛽𝑛}𝑛=1, {𝛿𝑛}𝑛=1 be the sequences in (0,1) and {𝑡𝑛}𝑛=1 be a positive real divergent sequence such that 𝑡𝑛𝑡𝑛+1 for all 𝑛. Assume that the following control conditions hold: (𝐶1)lim𝑛𝛼𝑛=0 and 𝑛=1𝛼𝑛=; (𝐶2)𝑛=1|𝛼𝑛+1𝛼𝑛|<, 𝑛=1|𝛽𝑛+1𝛽𝑛|<, and 𝑛=1|𝛿𝑛+1𝛿𝑛|<; (𝐶3)𝑛=1sup𝑧𝐶{𝑇()𝑇(𝑡𝑛)𝑧𝑇(𝑡𝑛)𝑧}< for all 0.Then the sequence {𝑥𝑛} defined by 𝑥1𝑦=𝑥𝐶chosenarbitrarily,𝑛=𝛽𝑛𝑥𝑛+1𝛽𝑛𝑇𝑡𝑛𝑥𝑛;𝑥𝑛+1=𝛼𝑛𝑓𝑥𝑛+𝛿𝑛𝑥𝑛+1𝛿𝑛𝛼𝑛𝑦𝑛,𝑛1,(3.58) converges strongly to the fixed point 𝑥, where 𝑥 is the unique solution in 𝐹(𝒯) of the variational inequality (1.11).

Proof. Taking 𝐴=𝐼 and 𝛾=1, then (1.13) is reduced to (3.58).

Corollary 3.5 (Marino and Xu [12]). Let 𝐻 be a real Hilbert space. Let 𝑇 be a nonexpansive mapping on 𝐻 such that 𝐹(𝑇), 𝑓 be a contraction mapping with a coefficient 𝛼(0,1) and 𝐴 be a strongly positive bounded linear operator with a coefficient 𝛾>0 such that 0<𝛾<𝛾/𝛼. Assume that the following control conditions hold: (𝐶1)lim𝑛𝛼𝑛=0 and 𝑛=1𝛼𝑛=; (𝐶2)𝑛=1|𝛼𝑛+1𝛼𝑛|<. Then the sequence {𝑥𝑛} defined by 𝑥0𝑥=𝑥𝐻chosenarbitrarily;𝑛+1=𝛼𝑛𝑥𝛾𝑓𝑛+𝐼𝛼𝑛𝐴𝑇𝑥𝑛,𝑛0,(3.59) converges strongly to the fixed point 𝑥, where 𝑥 is the unique solution in 𝐹(𝑇) of the variational inequality (1.6).

Proof. If 𝑋=𝐻 is a real Hilbert space, we get the desired conclusion easily. Taking 𝛿𝑛=0, 𝛽𝑛=0, and 𝑇(𝑡𝑛)=𝑇, then (1.13) is reduced to (3.59).

Now, we prove the following theorem, under certain different control conditions on the sequence {𝛼𝑛}, {𝛽𝑛} and {𝛿𝑛}.

Theorem 3.6. Let 𝐶 be a nonempty bounded closed convex subset of a uniformly smooth Banach space 𝑋 which admit a weakly sequentially continuous duality mapping from 𝑋 into 𝑋 with 𝐶±𝐶𝐶 and 𝒯={𝑇(𝑡)0𝑡<} be a nonexpansive semigroup on 𝐶 such that 𝐹(𝒯). Let 𝑓𝐶𝐶 be a contraction mapping with a coefficient 𝛼(0,1) and 𝐴 be a strongly positive bounded linear operator with coefficient 𝛾>0 such that 0<𝛾<𝛾/𝛼. Let {𝛼𝑛}𝑛=1, {𝛽𝑛}𝑛=1, {𝛿𝑛}𝑛=1 be the sequences in (0,1) and {𝑡𝑛}𝑛=1 be a positive real divergent sequence such that 𝑡𝑛+1=+𝑡𝑛 for all 𝑛 and for all 0. Assume that the following control conditions are hold: (𝐶1)lim𝑛𝛼𝑛=0 and 𝑛=1𝛼𝑛=; (𝐶2)lim𝑛|𝛽𝑛+1𝛽𝑛|=0; (𝐶3)0<liminf𝑛𝛿𝑛limsup𝑛𝛿𝑛<1. Suppose that {𝑇(𝑡𝑛)} is a u.a.r. nonexpansive semigroup on 𝐶. Then the sequence {𝑥𝑛} defined by (1.13) converges strongly to the common fixed point 𝑥, where 𝑥 is the unique solution in 𝐹(𝒯) of the variational inequality (3.2).

Proof. By using the same argument and techniques as those of Theorem 3.2, we note that {𝑥𝑛} is bounded, and so are the set {𝑦𝑛}, {𝑓(𝑥𝑛)} and {𝑇(𝑡𝑛)𝑥𝑛}. We will show that lim𝑛𝑥𝑛+1𝑥𝑛=0.
From Theorem 3.2, we note that𝑦𝑛+1𝑦𝑛𝑥𝑛+1𝑥𝑛+𝑇𝑡𝑛+1𝑥𝑛𝑡𝑇𝑛𝑥𝑛+||𝛽𝑛+1𝛽𝑛||𝑥𝑛𝑡𝑇𝑛𝑥𝑛.(3.60)
Define 𝑥𝑛+1=(1𝛿𝑛)𝑙𝑛+𝛿𝑛𝑥𝑛. That is 𝑙𝑛=(𝑥𝑛+1𝛿𝑛𝑥𝑛)/(1𝛿𝑛). Now, we compute 𝑙𝑛+1𝑙𝑛.
Then, we note that𝑙𝑛+1𝑙𝑛=𝑥𝑛+2𝛿𝑛+1𝑥𝑛+11𝛿𝑛+1𝑥𝑛+1𝛿𝑛𝑥𝑛1𝛿𝑛=𝛼𝑛+1𝑥𝛾𝑓𝑛+1+1𝛿𝑛+1𝐼𝛼𝑛+1𝐴𝑦𝑛+11𝛿𝑛+1𝛼𝑛𝑥𝛾𝑓𝑛+1𝛿𝑛𝐼𝛼𝑛𝐴𝑦𝑛1𝛿𝑛=𝛼𝑛+11𝛿𝑛+1𝑥𝛾𝑓𝑛+1𝐴𝑦𝑛+1+𝛼𝑛1𝛿𝑛𝐴𝑦𝑛𝑥𝛾𝑓𝑛+𝑦𝑛+1𝑦𝑛,(3.61) one has 𝑙𝑛+1𝑙𝑛𝛼𝑛+11𝛿𝑛+1𝑥𝛾𝑓𝑛+1𝐴𝑦𝑛+1+𝛼𝑛1𝛿𝑛𝐴𝑦𝑛𝑥𝛾𝑓𝑛+𝑦𝑛+1𝑦𝑛.(3.62) Substituting (3.60) into (3.62), we have 𝑙𝑛+1𝑙𝑛𝛼𝑛+11𝛿𝑛+1𝑥𝛾𝑓𝑛+1𝐴𝑦𝑛+1+𝛼𝑛1𝛿𝑛𝐴𝑦𝑛𝑥𝛾𝑓𝑛+𝑥𝑛+1𝑥𝑛+𝑇𝑡𝑛+1𝑥𝑛𝑡𝑇𝑛𝑥𝑛+||𝛽𝑛+1𝛽𝑛||𝑥𝑛𝑡𝑇𝑛𝑥𝑛.(3.63) By assuming that 𝑡𝑛+1=+𝑡𝑛, it follows that 𝑙𝑛+1𝑙𝑛𝑥𝑛+1𝑥𝑛𝛼𝑛+11𝛿𝑛+1𝑥𝛾𝑓𝑛+1𝐴𝑦𝑛+1+𝛼𝑛1𝛿𝑛𝐴𝑦𝑛𝑥𝛾𝑓𝑛+𝑡𝑇()𝑇𝑛𝑥𝑛𝑡𝑇𝑛𝑥𝑛+||𝛽𝑛+1𝛽𝑛||𝑥𝑛𝑡𝑇𝑛𝑥𝑛.(3.64) Since {𝑇(𝑡𝑛)} is a u.a.r. nonexpansive semigroup and lim𝑛𝑡𝑛=, then for all 0, we have lim𝑛𝑇𝑡()𝑇𝑛𝑥𝑛𝑡𝑇𝑛𝑥𝑛lim𝑛sup𝑧𝐶𝑇𝑡()𝑇𝑛𝑡𝑧𝑇𝑛𝑧=0.(3.65) Moreover, since {𝑥𝑛}, {𝑇(𝑡𝑛)𝑥𝑛} are bounded, observing control conditions (𝐶1), (𝐶2), (𝐶3), and noting (3.65) then, inequality (3.64) implies that limsup𝑛𝑙𝑛+1𝑙𝑛𝑥𝑛+1𝑥𝑛0.(3.66) It follows by Lemma 2.5 that lim𝑛𝑙𝑛𝑥𝑛=0.(3.67) Observing that 𝑥𝑛+1𝑥𝑛=1𝛿𝑛𝑙𝑛+𝛿𝑛𝑥𝑛𝑥𝑛=1𝛿𝑛𝑙𝑛𝑥𝑛,(3.68) and hence, lim𝑛𝑥𝑛+1𝑥𝑛=0.(3.69) By the same proof in Theorem 3.2, we note that 𝑦𝑛𝑥𝑛11𝛿𝑛𝑥𝑛𝑥𝑛+1+𝛼𝑛𝛾𝑓𝑥𝑛+𝐴𝑦𝑛.(3.70) Hence lim𝑛𝑦𝑛𝑥𝑛=0. Moreover, by Theorem 3.2, we note that lim𝑛𝑥𝑛𝑡𝑇𝑛𝑥𝑛=0.(3.71) Next, we show that lim𝑛𝑇()𝑥𝑛𝑥𝑛=0. We note that 𝑇()𝑥𝑛𝑥𝑛𝑇()𝑥𝑛𝑡𝑇()𝑇𝑛𝑥𝑛+𝑇𝑡()𝑇𝑛𝑥𝑛𝑡𝑇𝑛𝑥𝑛+𝑇𝑡𝑛𝑥𝑛𝑥𝑛𝑥2𝑛𝑡𝑇𝑛𝑥𝑛+𝑡𝑇()𝑇𝑛𝑥𝑛𝑡𝑇𝑛𝑥𝑛.(3.72) Since {𝑇(𝑡𝑛)} is a u.a.r. nonexpansive semigroup, and noting (3.65), we have lim𝑛𝑇()𝑥𝑛𝑥𝑛=0(3.73) for all 0. By using the same argument and techniques as those of Theorem 3.2, we have {𝑥𝑛} converges strongly to a common fixed point 𝑥𝐹(𝒯). This completes the proof.

Corollary 3.7. Let 𝐶 be a nonempty bounded closed convex subset of a real Hilbert space 𝐻 with 𝐶±𝐶𝐶 and let 𝒯={𝑇(𝑡)0𝑡<} be a nonexpansive semigroup on 𝐶 such that 𝐹(𝒯). Let 𝑓𝐶𝐶 be a contraction mapping with a coefficient 𝛼(0,1) and 𝐴 be a strongly positive bounded linear operator with coefficient 𝛾>0 such that 0<𝛾<𝛾/𝛼. Let {𝛼𝑛}𝑛=1, {𝛽𝑛}𝑛=1, {𝛿𝑛}𝑛=1 be the sequences in (0,1) and {𝑡𝑛}𝑛=1 be a positive real divergent sequence such that 𝑡𝑛+1=+𝑡𝑛 for all 𝑛 and for all 0. Assume that the following control conditions are hold: (𝐶1)lim𝑛𝛼𝑛=0 and 𝑛=1𝛼𝑛=; (𝐶2)lim𝑛|𝛽𝑛+1𝛽𝑛|=0; (𝐶3)0<liminf𝑛𝛿𝑛limsup𝑛𝛿𝑛<1. Suppose that {𝑇(𝑡𝑛)} is a u.a.r. nonexpansive semigroup on 𝐶. Then the sequence {𝑥𝑛} defined by (1.13) converges strongly to the fixed point 𝑥, where 𝑥 is the unique solution in 𝐹(𝒯) of the variational inequality (1.6).

Proof. From Theorem 3.6, if 𝑋=𝐻 is a real Hilbert space, we get the desired conclusion easily.

If we taking 𝐴=𝐼 and 𝛾=1, then (1.13) is reduced to (3.74). So, we obtain the following corollary.

Corollary 3.8. Let 𝐶 be a nonempty bounded closed convex subset of a uniformly smooth Banach space 𝑋 which admit a weakly sequentially continuous duality mapping from 𝑋 into 𝑋 and let 𝒯={𝑇(𝑡)0𝑡<} be a nonexpansive semigroup on 𝐶 such that 𝐹(𝒯). Let 𝑓𝐶𝐶 be a contraction mapping with a coefficient 𝛼(0,1) and {𝛼𝑛}𝑛=1, {𝛽𝑛}𝑛=1, {𝛿𝑛}𝑛=1 be the sequences in (0,1) and {𝑡𝑛}𝑛=1 be a positive real divergent sequence such that 𝑡𝑛+1=+𝑡𝑛 for all 𝑛 and for all 0. Assume that the following control conditions hold: (𝐶1)lim𝑛𝛼𝑛=0 and 𝑛=1𝛼𝑛=; (𝐶2)lim𝑛|𝛽𝑛+1𝛽𝑛|=0; (𝐶3)0<liminf𝑛𝛿𝑛limsup𝑛𝛿𝑛<1. Suppose that {𝑇(𝑡𝑛)} is a u.a.r. nonexpansive semigroup on 𝐶. Then the sequence {𝑥𝑛} defined by 𝑥1𝑦=𝑥𝐶chosenarbitrarily;𝑛=𝛽𝑛𝑥𝑛+1𝛽𝑛𝑇𝑡𝑛𝑥𝑛;𝑥𝑛+1=𝛼𝑛𝑓𝑥𝑛+𝛿𝑛𝑥𝑛+1𝛿𝑛𝛼𝑛𝑦𝑛,𝑛1,(3.74) converges strongly to the fixed point 𝑥, where 𝑥 is the unique solution in 𝐹(𝒯) of the variational inequality (1.11).

Acknowledgment

The authors would like to thank The National Research Council of Thailand (NRCT) and the Faculty of Science KMUTT for financial support.