Abstract

Let 𝑋 be a uniformly convex Banach space and 𝒮={𝑇(𝑠)0𝑠<} be a nonexpansive semigroup such that 𝐹(𝒮)=𝑠>0𝐹(𝑇(𝑠)). Consider the iterative method that generates the sequence {𝑥𝑛} by the algorithm 𝑥𝑛+1=𝛼𝑛𝑓(𝑥𝑛)+𝛽𝑛𝑥𝑛+(1𝛼𝑛𝛽𝑛)(1/𝑠𝑛)𝑠𝑛0𝑇(𝑠)𝑥𝑛𝑑𝑠,𝑛0, where {𝛼𝑛}, {𝛽𝑛}, and {𝑠𝑛} are three sequences satisfying certain conditions, 𝑓𝐶𝐶 is a contraction mapping. Strong convergence of the algorithm {𝑥𝑛} is proved assuming 𝑋 either has a weakly continuous duality map or has a uniformly Gâteaux differentiable norm.

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 by 𝐹(𝑇) the set of fixed points of 𝑇. One classical way to study nonexpansive mappings is to use contractions to approximate a nonexpansive mapping (Browder [1] and Reich [2]). More precisely, take 𝑡(0,1) and define a contraction 𝑇𝑡𝐶𝐶 by𝑇𝑡𝑥=𝑡𝑢+(1𝑡)𝑇𝑥,𝑥𝐶,(1.1)

where 𝑢𝐶 is a fixed point. Banach’s contraction mapping principle guarantees that 𝑇𝑡 has a unique fixed point 𝑥𝑡 in 𝐶. It is unclear, in general, what is the behavior of {𝑥𝑡} as 𝑡0, even if 𝑇 has a fixed point. In 1967, in the case of 𝑇 having a fixed point, Browder [3] proved that if 𝑋 is a Hilbert space, then 𝑥𝑡 converges strongly to the element of 𝐹(𝑇) which is nearest to 𝑢 in 𝐹(𝑇) as 𝑡0. Song and Xu [4] extended Browder’s result to the setting of Banach spaces and proved that if 𝑋 is a uniformly smooth Banach space, then 𝑥𝑡 converges strongly to a fixed point of 𝑇 and the limit defines the (unique) sunny nonexpansive retraction from 𝐶 onto 𝐹(𝑇).

Let 𝑓 be a contraction on 𝐻 such that 𝑓𝑥𝑓𝑦𝛼𝑥𝑦, where 𝛼[0,1) is a constant. Let 𝑥𝐶, 𝑡(0,1) and 𝑥𝑡𝐶 be the unique fixed point of the contraction 𝑆𝑡𝑥=𝑡𝑓(𝑥)+(1𝑡)𝑇𝑥, that is,𝑥𝑡𝑥=𝑡𝑓𝑡+(1𝑡)𝑇𝑥𝑡.(1.2)

Concerning the convergence problem of the net {𝑥𝑡}, Moudafi [5] and Xu [6] by using the viscosity approximation method proved that the net {𝑥𝑡} converges strongly to a fixed point ̃𝑥 of T in C which is the unique solution to the following variational inequality:(𝐼𝑓)̃𝑥,𝑥̃𝑥0,𝑥𝐹(𝑇).(1.3)

Moreover, Xu [6] also studied the strong convergence of the following iterative sequence generated by𝑥𝑛+1=𝛽𝑛𝑓𝑥𝑛+1𝛽𝑛𝑇𝑥𝑛,𝑛0,(1.4)

where 𝑥0𝐶 is arbitrary, the sequence {𝛽𝑛} in (0,1) satisfies the certain appropriate conditions.

A family {𝑇(𝑠)0𝑠<} of mappings of 𝐶 into itself is called a nonexpansive semigroup if it satisfies the following conditions:(i)𝑇(0)𝑥=𝑥 for all 𝑥𝐶;(ii)𝑇(𝑠+𝑡)=𝑇(𝑠)𝑇(𝑡) for all 𝑥,𝑦𝐶 and 𝑠,𝑡0;(iii)𝑇(𝑠)𝑥𝑇(𝑠)𝑦𝑥𝑦 for all 𝑥,𝑦𝐶 and 𝑠0;(iv)for all 𝑥𝐶, 𝑠𝑇(𝑠)𝑥 is continuous.

We denote by 𝐹(𝒮) the set of all common fixed points of 𝒮, that is, 𝐹(𝒮)={𝑥𝐶𝑇(𝑠)𝑥=𝑥,0𝑠<}. It is known that 𝐹(𝒮) is closed and convex.

It is an interesting problem to extend above (Moudafi’s [5], Xu’s [6], and so on) results to the nonexpansive semigroup case. Recently, for the nonexpansive semigroups 𝒮={𝑇(𝑠)0𝑠<}, Plubtieng and Punpaeng [7] studied the continuous scheme {𝑥𝑡} defined by𝑥𝑡𝑥=𝑡𝑓𝑡1+(1𝑡)𝜆𝑡𝜆𝑡0𝑇(𝑠)𝑥𝑡𝑑𝑠,(1.5)

where 𝑡(0,1) and {𝜆𝑡} is a positive real divergent net, and the iterative scheme {𝑥𝑛} defined by𝑥𝑛+1=𝛼𝑛𝑓𝑥𝑛+𝛽𝑛𝑥𝑛+1𝛼𝑛𝛽𝑛1𝑠𝑛𝑠𝑛0𝑇(𝑠)𝑥𝑛𝑑𝑠,𝑛0,(1.6)

where 𝑥0𝐶, {𝛼𝑛},{𝛽𝑛} are a sequence in (0,1) and {𝑠𝑛} is a positive real divergent real sequence in the setting of a real Hilbert space. They proved the continuous scheme {𝑥𝑡} defined by (1.5) and the iterative scheme {𝑥𝑛} defined by (1.6) converge strongly to a fixed point ̃𝑥 of 𝒮 which is the unique solution of the variational inequality (1.3). At this stage, the following question arises naturally.

Question 1. Do Plubtieng and Punpaeng’s results hold for the nonexpansive semigroups in a Banach space?

The purpose of this paper is to give affirmative answers of Question 1. One result of this paper says that Plubtieng and Punpaeng’s results hold in a uniformly convex Banach space which has a weakly continuous duality map.

On the other hand, Chen and Song [8] proved the following implicit and explicit viscosity iteration processes defined by (1.7) to nonexpansive semigroup case,𝑥𝑛=𝛼𝑛𝑓𝑥𝑛+1𝛼𝑛1𝑠𝑛𝑠𝑛0𝑇(𝑠)𝑥𝑛𝑥𝑑𝑠,𝑛0,𝑛+1=𝛼𝑛𝑓𝑥𝑛+1𝛼𝑛1𝑠𝑛s𝑛0𝑇(𝑠)𝑥𝑛𝑑𝑠,𝑛0.(1.7)

And they proved that {𝑥𝑛} converges strongly to a common fixed point of 𝐹(𝒮) in a uniformly convex Banach space with a uniformly Gâteaux differentiable norm.

Motivated by the above results, the other result of this paper says that Plubtieng and Punpaeng’s results hold in the framework of uniformly convex Banach space with a uniformly Gâteaux differentiable norm. The results improve and extend the corresponding results of Plubtieng and Punpaeng [7], Chen and Song [8], Moudafi’s [5], Xu’s [6], and others.

2. Preliminaries

Let 𝑋 be a real Banach space with inner product , and norm , respectively. Let 𝐽 denote the normalized duality mapping from 𝑋 into the dual space 2𝑋 given by𝑥𝐽(𝑥)=𝑋𝑥,𝑥=𝑥2=𝑥2,𝑥𝑋.(2.1)

In the sequel, we will denote the single valued duality mapping by 𝑗. When {𝑥𝑛} is a sequence in 𝑋, then 𝑥𝑛𝑥(𝑥𝑛𝑥) will denote strong (weak) convergence of the sequence {𝑥𝑛} to 𝑥.

Let 𝑆(𝑋)={𝑥𝑋𝑥=1}. Then the norm of 𝑋 is said to be Gâteaux differentiable iflim𝑡0𝑥+𝑡𝑦𝑥𝑡(2.2) exists for each 𝑥,𝑦𝑆(𝑋). In this case, 𝑋 is called smooth. The norm of 𝑋 is said to be uniformly Gâteaux differentiable if for each 𝑦𝑆(𝑋), the limit (2.2) is attained uniformly for 𝑥𝑆(𝑋). It is well known that 𝑋 is smooth if and only if any duality mapping on 𝑋 is sigle valued. Also if 𝑋 has a uniformly Gâteaux differentiable norm, then the duality mapping is norm-to-weak* uniformly continuous on bounded sets. The norm of E is called Fréchet differentiable, if for each 𝑥𝑆(𝑋), the limit (2.2) is attained uniformly for 𝑦𝑆(𝑋). The norm of 𝑋 is called uniformly Fréchet differentiable, if the limit (2.2) is attained uniformly for 𝑥,𝑦𝑆(𝑋). It is well known that (uniformly) Fréchet differentiability of the norm of 𝑋 implies (uniformly) Gâteaux differentiability of the norm of 𝑋 and 𝑋 is uniformly smooth if and only if the norm of 𝑋 is uniformly Fréchet differentiable.

A Banach space 𝑋 is said to be strictly convex if𝑥=𝑦=1,𝑥𝑦implies𝑥+𝑦2<1.(2.3)

A Banach space 𝑋 is said to be uniformly convex if 𝛿𝑋(𝜀)>0 for all 𝜀>0, where 𝛿𝑋(𝜀) is modulus of convexity of 𝐸 defined by𝛿𝐸(𝜀)=inf1𝑥+𝑦2[]𝑥1,𝑦1,𝑥𝑦𝜀,𝜀0,2.(2.4)

A uniformly convex Banach space 𝐸 is reflexive and strictly convex [9, Theorem 4.1.6, Theorem 4.1.2].

Lemma 2.1 (Goebel and Reich [10], Proposition 5.3). Let 𝐶 be a nonempty closed convex subset of a strictly convex Banach space 𝑋 and 𝑇𝐶𝐶 a nonexpansive mapping with 𝐹(𝑇). Then 𝐹(𝑇) is closed and convex.

Lemma 2.2 (see Xu [11]). In a smooth Banach space 𝑋 there holds the inequality 𝑥+𝑦2𝑥2+2𝑦,𝐽(𝑥+𝑦),𝑥,𝑦,𝑋.(2.5)

Lemma 2.3 (Browder [12]). Let 𝐸 be a uniformly convex Banach space, 𝐾 a nonempty closed convex subset of 𝐸, and 𝑇𝐾𝐸 a nonexpansive mapping. Then 𝐼𝑇 is demi closed at zero.

Lemma 2.4 (see [8, Lemma 2.7]). Let 𝐶 be a nonempty bounded closed convex subset of a uniformly convex Banach space 𝑋, and let 𝒮={𝑇(𝑠)0𝑠<} be a nonexpansive semigroup on 𝐶 such that 𝐹(𝒮). For 𝑥𝐶 and 𝑡>0. Then, for any 0<, lim𝑡sup𝑥𝐶1𝑡𝑡01𝑇(𝑠)𝑥𝑑𝑠𝑇()𝑡𝑡0𝑇(𝑠)𝑥𝑑𝑠=0.(2.6)

Recall that a gauge is a continuous strictly increasing function 𝜑[0,)[0,) such that 𝜑(0)=0 and 𝜑(𝑡) as 𝑡. Associated to a gauge 𝜑 is the duality map 𝐽𝜑𝑋𝑋 defined by𝐽𝜑𝑥(𝑥)=𝑋𝑥,𝑥(=𝑥𝜑𝑥),𝑥()=𝜑𝑥,𝑥𝑋.(2.7)

Following Browder [13], we say that a Banach space 𝑋 has a weakly continuous duality map if there exists a gauge 𝜑 for which the duality map 𝐽𝜑 is single valued and weak-to-weak* sequentially continuous (i.e., if {𝑥𝑛} is a sequence in 𝑋 weakly convergent to a point 𝑥, then the sequence 𝐽𝜑(𝑥𝑛) converges weakly* to 𝐽𝜑(𝑥)). It is known that 𝑙𝑝 has a weakly continuous duality map for all 1<𝑝<. SetΦ(𝑡)=𝑡0𝜑(𝜏)𝑑𝜏,𝑡0.(2.8)

Then𝐽𝜑(𝑥)=𝜕Φ(𝑥),𝑥𝑋,(2.9)

where 𝜕 denotes the subdifferential in the sense of convex analysis. The next lemma is an immediate consequence of the subdifferential inequality.

Lemma 2.5 (Xu [11, Lemma 2.6]). Assume that 𝑋 has a weakly continuous duality map 𝐽𝜑 with gauge 𝜑, for all 𝑥,𝑦𝑋, there holds the inequality Φ(𝑥+𝑦)Φ(𝑥)+𝑦,𝐽𝜑.(𝑥+𝑦)(2.10)

Lemma 2.6 (Xu [6]). Assume {𝛼𝑛} is a sequence of nonnegative real numbers such that 𝛼𝑛+11𝛾𝑛𝛼𝑛+𝛿𝑛,𝑛0,(2.11)where {𝛾𝑛} is a sequence in (0,1) and {𝛿𝑛} is a sequence in 𝐑 such that(i)𝑛=1𝛾𝑛=; (ii)limsup𝑛𝛿𝑛/𝛾𝑛0 or 𝑛=1|𝛿𝑛|<.Then lim𝑛𝛼𝑛=0.

Finally, we also need the following definitions and results [9, 14]. Let 𝜇 be a continuous linear functional on 𝑙 satisfying 𝜇=1=𝜇(1). Then we know that 𝜇 is a mean on 𝑁 if and only if𝑎inf𝑛𝑎;𝑛𝑁𝜇(𝑎)sup𝑛;𝑛𝑁,(2.12) for every 𝑎=(𝑎1,𝑎2,)𝑙. Occasionally, we will use 𝜇𝑛(𝑎𝑛) instead of 𝜇(𝑎). A mean 𝜇 on 𝑁 is called a Banach limit if𝜇𝑛𝑎𝑛=𝜇𝑛𝑎𝑛+1,(2.13) for every 𝑎=(𝑎1,𝑎2,)𝑙. Using the Hahn-Banach theorem, or the Tychonoff fixed point theorem, we can prove the existence of a Banach limit. We know that if 𝜇 is a Banach limit, thenliminf𝑛𝑎𝑛𝜇𝑛𝑎𝑛limsup𝑛𝑎𝑛,(2.14) for every 𝑎=(𝑎1,𝑎2,)𝑙. So, if 𝑎=(𝑎1,𝑎2,), 𝑏=(𝑏1,𝑏2,)𝑙, and 𝑎𝑛𝑐 (resp., 𝑎𝑛𝑏𝑛0), as 𝑛, we have𝜇𝑛𝑎𝑛=𝜇(𝑎)=𝑐resp.,𝜇𝑛𝑎𝑛=𝜇𝑛𝑏𝑛.(2.15)

Subsequently, the following result was showed in [14, Lemma 1] and [9, Lemma 4.5.4].

Lemma 2.7 (see [14, Lemma 1]). Let 𝐶 be a nonempty closed convex subset of a Banach space 𝑋 with a uniformly Gâteaux differentiable norm and {𝑥𝑛} a bounded sequence of 𝐸. If 𝑧0𝐶, then 𝜇𝑛𝑥𝑛𝑧02=min𝑥𝐶𝜇𝑛𝑥𝑛𝑥2,(2.16) if and only if 𝜇𝑛𝑥𝑧0𝑥,𝐽𝑛𝑧00,𝑥𝐶.(2.17)

Lemma 2.8 (Song and Xu [4, Proposition 3.1]). Let 𝑋 be a reflexive strictly convex Banach space with a uniformly Gâteaux differentiable norm, and 𝐶 a nonempty closed convex subset of 𝑋. Suppose {𝑥𝑛} is a bounded sequence in 𝐶 such that lim𝑛𝑥𝑛𝑇𝑥𝑛=0, an approximate fixed point of nonexpansive self-mapping 𝑇 on 𝐶. Define the set 𝐶=𝑦𝐶𝜇𝑛𝑥𝑛𝑦2=inf𝑥𝐶𝜇𝑛𝑥𝑛𝑥2.(2.18) If 𝐹(𝑇), then 𝐶𝐹(𝑇).

3. Implicit Iteration Scheme

Theorem 3.1. Let 𝑋 be a uniformly convex Banach space that has a weakly continuous duality map 𝐽𝜑 with gauge 𝜑, and let 𝐶 be a nonempty closed convex subset of 𝑋. Let 𝒮={𝑇(𝑠)0𝑠<} be a nonexpansive semigroup from 𝐶 into itself such that 𝐹(𝒮)=𝑠>0𝐹(𝑇(𝑠)) and 𝑓𝐶𝐶 a contraction mapping with the contractive coefficient 𝛼[0,1). Suppose {𝜆𝑡}0<𝑡<1 is a net of positive real numbers such that lim𝑡0+𝜆𝑡=, the sequence {𝑥𝑡} is given by the following equation: 𝑥𝑡𝑥=𝑡𝑓𝑡1+(1𝑡)𝜆𝑡𝜆𝑡0𝑇(s)𝑥𝑡𝑑𝑠.(3.1) Then {𝑥𝑡} converges strongly to ̃𝑥 as 𝑡0+, where ̃𝑥 is the unique solution in 𝐹(𝒮) of the variational inequality (𝐼𝑓)̃𝑥,𝐽(𝑥̃𝑥)0,𝑥𝐹(𝒮).(3.2)

Proof. Note that 𝐹(𝒮) is a nonempty closed convex set by Lemma 2.1. We first show that {𝑥𝑡} is bounded. Indeed, for any fixed 𝑝𝐹(𝒮), we have 𝑥𝑡𝑓𝑥𝑝𝑡𝑡1𝑝+(1𝑡)𝜆𝑡𝜆𝑡0𝑇(𝑠)𝑥𝑡𝑓𝑥𝑑𝑠𝑝𝑡𝑡1𝑓(𝑝)+𝑓(𝑝)𝑝+(1𝑡)𝜆𝑡𝜆𝑡0𝑇(𝑠)𝑥𝑡𝛼𝑥𝑝𝑑𝑠𝑡𝑡+𝑥𝑝+𝑓(𝑝)𝑝(1𝑡)𝑡=𝑥𝑝𝑡𝑥𝑝𝑡(1𝛼)𝑡𝑝+𝑡𝑓(𝑝)𝑝.(3.3) It follows that 𝑥𝑡1𝑝1𝛼𝑓(𝑝)𝑝.(3.4) Thus {𝑥𝑡} is bounded, so are {𝑓(𝑥𝑡)} and {𝑇(𝑠)𝑥𝑡} for every 0𝑠<. Furthermore, we note that 𝑥𝑡𝑇(𝑠)𝑥𝑡𝑥𝑡1𝜆𝑡𝜆𝑡0𝑇(𝑠)𝑥𝑡+1𝑑𝑠𝜆𝑡𝜆𝑡0𝑇(𝑠)𝑥𝑡1𝑑𝑠𝑇(𝑠)𝜆𝑡𝜆𝑡0𝑇(𝑠)𝑥𝑡+1𝑑𝑠𝑇(𝑠)𝜆𝑡𝜆𝑡0𝑇(𝑠)𝑥𝑡𝑑𝑠𝑇(𝑠)𝑥𝑡𝑥2𝑡1𝜆𝑡𝜆𝑡0𝑇(𝑠)𝑥𝑡+1d𝑠𝜆𝑡𝜆𝑡0𝑇(𝑠)𝑥𝑡1𝑑𝑠𝑇(𝑠)𝜆𝑡𝜆𝑡0𝑇(𝑠)𝑥𝑡,𝑑𝑠(3.5) for every 0𝑠<. On the one hand, we observe that 𝑥𝑡1𝜆𝑡𝜆𝑡0𝑇(𝑠)𝑥𝑡=𝑡𝑑𝑠𝑥1𝑡𝑡𝑥𝑓𝑡,(3.6) for every 𝑡>0. On the other hand, let 𝑧0𝐹(𝑆) and 𝐷={𝑧𝐶𝑧𝑧0𝑓(𝑧0)𝑧0}, then 𝐷 is a nonempty closed bounded convex subset of 𝐶 which is 𝑇(𝑠)-invariant for each 0𝑠< and contains {𝑥𝑡}. It follows by Lemma 2.4 that lim𝜆𝑡1𝜆𝑡𝜆𝑡0𝑇(𝑠)𝑥𝑡1𝑑𝑠𝑇(s)𝜆𝑡𝜆𝑡0𝑇(𝑠)𝑥𝑡𝑑𝑠lim𝜆𝑡sup𝑥𝐷1𝜆𝑡𝜆𝑡0𝑇(𝑠)𝑥𝑡1𝑑𝑠𝑇(𝑠)𝜆𝑡𝜆𝑡0𝑇(𝑠)𝑥𝑡𝑑𝑠=0.(3.7) Hence, by (3.5)–(3.7), we obtain 𝑥𝑡𝑇(𝑠)𝑥𝑡0as𝑡0,(3.8) for every 0𝑠<. Assume {𝑡𝑛}𝑛=1(0,1) is such that 𝑡𝑛0 as 𝑛. Put 𝑥𝑛=𝑥𝑡𝑛, 𝜆𝑛=𝜆𝑡𝑛, we will show that {𝑥𝑛} contains s subsequence converging strongly to ̃𝑥, where ̃𝑥𝐹(𝒮). Since {𝑥𝑛} is a bounded sequence, there is a subsequence {𝑥𝑛𝑗} of {𝑥𝑛} which converges weakly to ̃𝑥𝐶. By Lemma 2.3, we have ̃𝑥𝐹(𝒮). For each 𝑛1, we have 𝑥𝑛̃𝑥=𝑡𝑛𝑓𝑥𝑛+̃𝑥1𝑡𝑛1𝜆𝑛𝜆𝑛0𝑇(𝑠)𝑥𝑛.𝑑𝑠̃𝑥(3.9) Thus, by Lemma 2.5, we obtain Φ𝑥𝑛𝑡̃𝑥=Φ𝑛𝑓𝑥𝑛+̃𝑥1𝑡𝑛1𝜆𝑛𝜆𝑛0𝑇(𝑠)𝑥𝑛𝑑𝑠̃𝑥Φ1𝑡𝑛1𝜆𝑛𝜆𝑛0𝑇(𝑠)𝑥𝑛𝑑𝑠̃𝑥+𝑡𝑛𝑓𝑥𝑛̃𝑥,𝐽𝜑𝑥𝑛̃𝑥1𝑡𝑛Φ1𝜆𝑛𝜆𝑛0𝑇(𝑠)𝑥𝑛𝑑𝑠̃𝑥+𝑡𝑛𝑓𝑥𝑛̃𝑥,𝐽𝜑𝑥𝑛̃𝑥1𝑡𝑛Φ𝑥𝑛̃𝑥+𝑡𝑛𝑓𝑥𝑛̃𝑥,𝐽𝜑𝑥𝑛.̃𝑥(3.10) This implies that Φ𝑥𝑛𝑓𝑥̃𝑥𝑛̃𝑥,𝐽𝜑𝑥𝑛.̃𝑥(3.11) In particular, we have Φ𝑥𝑛𝑗𝑓𝑥̃𝑥𝑛𝑗̃𝑥,𝐽𝜑𝑥𝑛𝑗̃𝑥.(3.12) Now observing that {𝑥𝑛𝑗}̃𝑥 implies 𝐽𝜑(𝑥𝑛𝑗̃𝑥)0. And since 𝑓(𝑥𝑛𝑗) is bounded, it follows from (3.12) that Φ𝑥𝑛𝑗̃𝑥0as𝑗.(3.13) Hence 𝑥𝑛𝑗̃𝑥.
Next, we show that ̃𝑥𝐹(𝒮) solves the variational inequality (3.2). Indeed, for 𝑞𝐹(𝒮), it is easy to see that 𝑥𝑡1𝜆𝑡𝜆𝑡0𝑇(𝑠)𝑥𝑡𝑑𝑠,𝐽𝜑𝑥𝑡𝑥𝑞=Φ𝑡+1𝑞𝑞𝜆𝑡𝜆𝑡0𝑇(𝑠)𝑥𝑡𝑑𝑠,𝐽𝜑𝑥𝑡𝑥𝑞Φ𝑡1𝑞𝑞𝜆𝑡𝜆𝑡0𝑇(𝑠)𝑥𝑡𝐽𝑑𝑠𝜑𝑥𝑡𝑥𝑞Φ𝑡𝑥𝑞Φ𝑡𝑞=0.(3.14) However, we note that 𝑥𝑡1𝜆𝑡𝜆𝑡0𝑇(𝑠)𝑥𝑡𝑡𝑑𝑠=𝑓𝑥1𝑡𝑡𝑥𝑡.(3.15) Thus, we get that for 𝑡(0,1) and 𝑞𝐹(𝒮)𝑥𝑡𝑥𝑓𝑡,𝐽𝜑𝑥𝑡𝑞0.(3.16) Taking the limit through 𝑡=𝑡𝑛𝑗0, we obtain (𝐼𝑓)̃𝑥,𝐽𝜑(̃𝑥𝑞)0,𝑞𝐹(𝒮).(3.17) This implies that (𝐼𝑓)̃𝑥,𝐽(̃𝑥𝑞)0,𝑞𝐹(𝒮),(3.18) since 𝐽𝜑(𝑥)=(𝜑(𝑥)/𝑥)𝐽(𝑥) for 𝑥0.
Finally, we show that the net {𝑥𝑡} convergence strong to ̃𝑥. Assume that there is a sequence {𝑠𝑛}(0,1) such that 𝑥𝑠𝑛𝑥, where 𝑠𝑛0. we note by Lemma 2.3 that 𝑥𝐹(𝒮). It follows from the inequality (3.18) that (𝐼𝑓)̃𝑥,𝐽̃𝑥𝑥0.(3.19) Interchange ̃𝑥 and 𝑥 to obtain (𝐼𝑓)𝑥,𝐽𝑥̃𝑥0.(3.20) Adding (3.19) and (3.20) yields (1𝛼)̃𝑥𝑥2𝑥̃𝑥𝑓(̃𝑥)𝑓𝑥,𝐽𝑥̃𝑥0.(3.21) We must have ̃𝑥=𝑥 and the uniqueness is proved. In a summary, we have shown that each cluster point of {𝑥𝑡} as 𝑡0 equals ̃𝑥. Therefore 𝑥𝑡̃𝑥 as 𝑡0.

Theorem 3.2. Let 𝑋 be a uniformly convex Banach space with a uniformly Gâteaux differentiable norm and 𝐶 be a nonempty closed convex subset of 𝑋. Let 𝒮={𝑇(𝑠)0𝑠<} be a nonexpansive semigroup from 𝐶 into itself such that 𝐹(𝒮)=𝑠>0𝐹(𝑇(𝑠)) and 𝑓𝐶𝐶 a contraction mapping with the contractive coefficient 𝛼[0,1). Suppose {𝜆𝑡}0<𝑡<1 is a net of positive real numbers such that lim𝑡0+𝜆𝑡=, the sequence {𝑥𝑡} is given by the following equation: 𝑥𝑡𝑥=𝑡𝑓𝑡1+(1𝑡)𝜆𝑡𝜆𝑡0𝑇(𝑠)𝑥𝑡𝑑𝑠.(3.22) Then {𝑥𝑡} converges strongly to ̃𝑥 as 𝑡0+, where ̃𝑥 is the unique solution in 𝐹(𝒮) of the variational inequality (𝐼𝑓)̃𝑥,𝐽(𝑥̃𝑥)0,𝑥𝐹(𝒮).(3.23)

Proof. We include only those points in this proof which are different from those already presented in the proof of Theorem 3.1. As in the proof of Theorem 3.1, we obtain that there is a subsequence {𝑥𝑛𝑗} of {𝑥𝑛} which converges weakly to ̃𝑥𝐹(𝒮). For each 𝑛1, we have 𝑥𝑛̃𝑥=𝑡𝑛𝑓𝑥𝑛+̃𝑥1𝑡𝑛1𝜆𝑛𝜆𝑛0𝑇(𝑠)𝑥𝑛.𝑑𝑠̃𝑥(3.24) Thus, we have 𝑥𝑛̃𝑥2=𝑡𝑛𝑓𝑥𝑛+̃𝑥1𝑡𝑛1𝜆𝑛𝜆𝑛0𝑇(𝑠)𝑥𝑛𝑥𝑑𝑠̃𝑥,𝐽𝑛̃𝑥=𝑡𝑛𝑓𝑥𝑛𝑥𝑓(̃𝑥)+𝑓(̃𝑥)̃𝑥,𝐽𝑛+̃𝑥1𝑡𝑛1𝜆𝑛𝜆𝑛0𝑇(𝑠)𝑥𝑛𝑥𝑑𝑠̃𝑥,𝐽𝑛̃𝑥𝑡𝑛𝑓𝑥𝑛𝐽𝑥𝑓(̃𝑥)𝑛̃𝑥+𝑡𝑛𝑥𝑓(̃𝑥)̃𝑥,𝐽𝑛+̃𝑥1𝑡𝑛1𝜆𝑛𝜆𝑛0𝑇(𝑠)𝑥𝑛𝐽𝑥𝑑𝑠̃𝑥𝑛̃𝑥1(1𝛼)𝑡𝑛𝑥𝑛̃𝑥2+𝑡𝑛𝑥𝑓(̃𝑥)̃𝑥,𝐽𝑛.̃𝑥(3.25) Therefore, 𝑥𝑛̃𝑥21𝑥1𝛼𝑓(̃𝑥)̃𝑥,𝐽𝑛.̃𝑥(3.26)
We claim that the set {𝑥𝑛} is sequentially compact. Indeed, define the set 𝐶=𝑦𝐶𝜇𝑛𝑥𝑛𝑦2=inf𝑥𝐶𝜇𝑛𝑥𝑛𝑥2.(3.27) By Lemma 2.8, we found ̃𝑥𝐶. Using Lemma 2.7 we get that 𝜇𝑛𝑥𝑥̃𝑥,𝐽𝑛̃𝑥0,𝑥𝐶.(3.28) From (3.26), we get 𝜇𝑛𝑥𝑛̃𝑥21𝜇1𝛼𝑛𝑥𝑓(̃𝑥)̃𝑥,𝐽𝑛̃𝑥0,(3.29) that is 𝜇𝑛𝑥𝑛̃𝑥=0.(3.30) Hence, there exists a subsequence {𝑥𝑛𝑘} of {𝑥𝑛} converges strongly to ̃𝑥𝐹(𝒮) as 𝑘.
Next we show that ̃𝑥 is a solution in 𝐹(𝒮) to the variational inequality (3.23). In fact, for any fixed 𝑥𝐹(𝒮), there exists a constant 𝑀>0 such that 𝑥𝑛𝑥𝑀, then 𝑥𝑛𝑥2=𝑡𝑛𝑓𝑥𝑛𝑓(̃𝑥)+̃𝑥𝑥𝑛𝑥,𝐽𝑛𝑥+𝑡𝑛𝑥𝑓(̃𝑥)̃𝑥,𝐽𝑛𝑥+𝑡𝑛𝑥𝑛𝑥𝑥,𝐽𝑛+𝑥1𝑡𝑛1𝜆𝑛𝜆𝑛0𝑇(𝑠)𝑥𝑛𝑥𝑑𝑠𝑥,𝐽𝑛𝑥(1+𝛼)𝑡𝑛𝑀𝑥𝑛̃𝑥+𝑡𝑛𝑥𝑓(̃𝑥)̃𝑥,𝐽𝑛+𝑥𝑥𝑛𝑥2.(3.31) Therefore, 𝑓(̃𝑥)̃𝑥,𝐽𝑥𝑥𝑛𝑥(1+𝛼)𝑀𝑛̃𝑥.(3.32) Since the duality mapping 𝐽 is single valued and norm topology to weak* topology uniformly continuous on any bounded subset of a Banach space 𝑋 with a uniformly Gâteaux differentiable norm, we have 𝑓(̃𝑥)̃𝑥,𝐽𝑥𝑥𝑛𝑘𝑓(̃𝑥)̃𝑥,𝐽(𝑥̃𝑥).(3.33) Taking limit as 𝑗 in two sides of (3.32), we get 𝑓(̃𝑥)̃𝑥,𝐽(𝑥̃𝑥)0,𝑥𝐹(𝒮).(3.34)
Finally we will show that the net {𝑥𝑡} convergence strong to ̃𝑥. This section is similar to that of Theorem 3.1.

4. Explicit Iterative Scheme

Theorem 4.1. Let 𝑋 be a uniformly convex Banach space that has a weakly continuous duality map 𝐽𝜑 with gauge 𝜑 and 𝐶 be a nonempty closed convex subset of 𝑋. Let 𝒮={𝑇(𝑠)0𝑠<} be a nonexpansive semigroup from 𝐶 into itself such that 𝐹(𝒮)=𝑠>0𝐹(𝑇(𝑠)) and 𝑓𝐶𝐶 a contraction mapping with the contractive coefficient 𝛼[0,1). Let {𝛼𝑛} and {𝛽𝑛} be the sequence in (0,1) which satisfies 𝛼𝑛+𝛽𝑛<1, lim𝑛𝛼𝑛0, lim𝑛𝛽𝑛0 and 𝑛=1𝛼𝑛=, and {𝑠𝑛} is a positive real divergent sequence such that lim𝑛𝑠𝑛. If the sequence {𝑥𝑛} defined by 𝑥0𝐶 and 𝑥𝑛+1=𝛼𝑛𝑓𝑥𝑛+𝛽𝑛𝑥𝑛+1𝛼𝑛𝛽𝑛1𝑠𝑛𝑠𝑛0𝑇(𝑠)𝑥𝑛𝑑𝑠,𝑛0.(4.1) Then {𝑥𝑛} converges strongly to ̃𝑥 as 𝑛, where ̃𝑥 is the unique solution in 𝐹(𝒮) of the variational inequality (𝐼𝑓)̃𝑥,𝐽(𝑥̃𝑥)0,𝑥𝐹(𝒮).(4.2)

Proof. Note that 𝐹(𝒮) is a nonempty closed convex set. We first show that {𝑥𝑛} is bounded. Let 𝑞𝐹(𝒮). Thus, we compute that 𝑥𝑛+1=𝛼𝑞𝑛𝑓𝑥𝑛+𝛽𝑛𝑥𝑛+1𝛼𝑛𝛽𝑛1𝑠𝑛𝑠𝑛0𝑇(𝑠)𝑥𝑛𝑑𝑠𝑞𝛼𝑛𝑓𝑥𝑛𝑞+𝛽𝑛𝑥𝑛+𝑞1𝛼𝑛𝛽𝑛1𝑠𝑛𝑠𝑛0𝑇(𝑠)𝑥𝑛𝑑𝑠𝑞𝛼𝑛𝑓𝑥𝑛𝑓(𝑞)+𝑓(𝑞)𝑞+𝛽𝑛𝑥𝑛+𝑞1𝛼𝑛𝛽𝑛1𝑠𝑛𝑠𝑛0𝑇(𝑠)𝑥𝑛𝑞𝑑𝑠𝛼𝑛𝛼𝑥𝑛𝑞+𝛼𝑛𝑓(𝑞)𝑞+1𝛼𝑛𝑥𝑛=𝑞1𝛼𝑛𝑥(1𝛼)𝑛𝑞+𝛼𝑛𝑥𝑓(𝑞)𝑞max𝑛,1𝑞𝑥1𝛼𝑓(𝑞)𝑞max0,1𝑞.1𝛼𝑓(𝑞)𝑞(4.3) Therefore, {𝑥𝑛} is bounded, {𝑓(𝑥𝑛)} and {𝑇(𝑠)𝑥𝑛} for every 0𝑠< are also bounded.
Next we show 𝑥𝑛𝑇()𝑥𝑛0 as 𝑛. Notice that 𝑥𝑛+1𝑇()𝑥𝑛+1𝑥𝑛+11𝑠𝑛𝑠𝑛0𝑇(𝑠)𝑥𝑛+1𝑑𝑠𝑠𝑛𝑠𝑛0𝑇(𝑠)𝑥𝑛1𝑑𝑠𝑇()𝑠𝑛𝑠𝑛0𝑇(𝑠)𝑥𝑛+1𝑑𝑠𝑇()𝑠𝑛𝑠𝑛0𝑇(𝑠)𝑥𝑛𝑑𝑠𝑇()𝑥𝑛+1𝑥2𝑛+11𝑠𝑛𝑠𝑛0𝑇(𝑠)𝑥𝑛+1𝑑𝑠𝑠𝑛𝑠𝑛0𝑇(𝑠)𝑥𝑛1𝑑𝑠𝑇()𝑠𝑛𝑠𝑛0𝑇(𝑠)𝑥𝑛𝑑𝑠2𝛼𝑛𝑓𝑥𝑛1𝑠𝑛𝑠𝑛0𝑇(𝑠)𝑥𝑛𝑑𝑠+2𝛽𝑛𝑥𝑛1𝑠𝑛𝑠𝑛0𝑇(𝑠)𝑥𝑛+1𝑑𝑠𝑠𝑛𝑠𝑛0𝑇(𝑠)𝑥𝑛1𝑑𝑠𝑇()𝑠𝑛𝑠𝑛0𝑇(𝑠)𝑥𝑛.𝑑𝑠(4.4)
Put 𝑧0=𝑃𝐹(𝒮)𝑥0 and 𝐷={𝑧𝐶𝑧𝑧0𝑥0𝑧0+1/(1𝛼)𝑓(𝑧0)𝑧0}. Then 𝐷 is a nonempty closed bounded convex subset of 𝐶 which is 𝑇(𝑠)-invariant for each 𝑠[0,) and contains {𝑥𝑛}. So without loss of generality, we may assume that 𝒮={𝑇(𝑠)0𝑠<} is a nonexpansive semigroup on 𝐷. By Lemma 2.4, we get lim𝑛1𝑠𝑛𝑠𝑛0𝑇(𝑠)𝑥𝑛1𝑑𝑠𝑇()𝑠𝑛𝑠𝑛0𝑇(𝑠)𝑥𝑛𝑑𝑠=0,(4.5) for every [0,). On the other hand, since {𝑥𝑛}, {𝑓(𝑥𝑛)}, and {𝑇(𝑠)𝑥𝑛} are bounded, using the assumption that lim𝑛𝛼𝑛0, lim𝑛𝛽𝑛0, and (4.5) into (4.4), we get that 𝑥𝑛+1𝑇()𝑥𝑛+10as𝑛,(4.6) and hence 𝑥𝑛𝑇()𝑥𝑛0as𝑛.(4.7)
We now show that 𝑓(̃𝑥)̃𝑥,𝐽𝜑𝑥𝑛̃𝑥0.(4.8) Let 𝑥𝑡=𝑡𝑓(𝑥𝑡)+(1𝑡)(1/𝜆𝑡)𝜆𝑡0𝑇(𝑠)𝑥𝑡𝑑𝑠, where 𝑡 and 𝜆𝑡 satisfies the condition of Theorem 3.1. Then it follows from Theorem 3.1 that ̃𝑥=lim𝑡0𝑥𝑡 and ̃𝑥 be the unique solution in 𝐹(𝒮) of the variational inequality (3.2). Clearly ̃𝑥 is a unique solution of (4.2). Take a subsequence {𝑥𝑛𝑘} of {𝑥𝑛} such that limsup𝑛𝑓(̃𝑥)̃𝑥,𝐽𝜑𝑥𝑛̃𝑥=lim𝑘𝑓(̃𝑥)̃𝑥,𝐽𝜑𝑥𝑛𝑘̃𝑥.(4.9) Since 𝑋 is uniformly convex and hence it is reflexive, we may further assume that 𝑥𝑛𝑘𝑝. Moreover, we note that 𝑝𝐹(𝒮) by Lemma 2.3 and (4.7). Therefore, from (4.9) and (3.17), we have limsup𝑛𝑓(̃𝑥)̃𝑥,𝐽𝜑𝑥𝑛=𝑓̃𝑥(̃𝑥)̃𝑥,𝐽𝜑(𝑝̃𝑥)0.(4.10) That is (4.8) holds.
Finally we will show that 𝑥𝑛̃𝑥. For each 𝑛0, we have Φ𝑥𝑛+1𝛼̃𝑥=Φ𝑛𝑓𝑥𝑛̃𝑥+𝛽𝑛𝑥𝑛+̃𝑥1𝛼𝑛𝛽𝑛1𝑠𝑛𝑠𝑛0𝑇(𝑠)𝑥𝑛𝛼𝑑𝑠̃𝑥Φ𝑛𝑓𝑥𝑛𝑓(̃𝑥)+𝛼𝑛(𝑓(̃𝑥)̃𝑥)+𝛽𝑛𝑥𝑛+̃𝑥1𝛼𝑛𝛽𝑛1𝑠𝑛𝑠𝑛0𝑇(𝑠)𝑥𝑛𝛼𝑑𝑠̃𝑥Φ𝑛𝑓𝑥𝑛𝑓(̃𝑥)+𝛽𝑛𝑥𝑛+̃𝑥1𝛼𝑛𝛽𝑛1𝑠𝑛𝑠𝑛0𝑇(𝑠)𝑥𝑛𝑑𝑠̃𝑥+𝛼𝑛𝑓(̃𝑥)̃𝑥,𝐽𝜑𝑥𝑛+1𝛼̃𝑥Φ𝑛𝛼𝑥𝑛̃𝑥+𝛽𝑛𝑥𝑛+̃𝑥1𝛼𝑛𝛽𝑛1𝑠𝑛𝑠𝑛0𝑇(𝑠)𝑥𝑛𝑑𝑠̃𝑥+𝛼𝑛𝑓(̃𝑥)̃𝑥,𝐽𝜑𝑥𝑛+1̃𝑥Φ1𝛼𝑛𝑥(1𝛼)𝑛̃𝑥+𝛼𝑛𝑓(̃𝑥)̃𝑥,𝐽𝜑𝑥𝑛+1̃𝑥1𝛼𝑛Φ𝑥(1𝛼)𝑛̃𝑥+𝛼𝑛𝑓(̃𝑥)̃𝑥,𝐽𝜑𝑥𝑛+1.̃𝑥(4.11) An application of Lemma 2.6, we can obtain Φ(𝑥𝑛̃𝑥)0, hence 𝑥𝑛̃𝑥0. That is, {𝑥𝑛} converges strongly to a fixed point ̃𝑥 of 𝒮. This completes the proof.

Theorem 4.2. Let 𝑋 be a uniformly convex Banach space with a uniformly Gâteaux differentiable norm and 𝐶 be a nonempty closed convex subset of 𝑋. Let 𝒮={𝑇(𝑠)0𝑠<} be a nonexpansive semigroup from 𝐶 into itself such that 𝐹(𝒮)=𝑠>0𝐹(𝑇(𝑠)) and 𝑓𝐶𝐶 a contraction mapping with the contractive coefficient 𝛼[0,1). Let {𝛼𝑛} and {𝛽𝑛} be the sequence in (0,1) which satisfies 𝛼𝑛+𝛽𝑛<1, lim𝑛𝛼𝑛0, lim𝑛𝛽𝑛0, and 𝑛=1𝛼𝑛=, and {𝑠𝑛} is a positive real divergent sequence such that lim𝑛𝑠𝑛. If the sequence {𝑥𝑛} defined by 𝑥0𝐶 and 𝑥𝑛+1=𝛼𝑛𝑓𝑥𝑛+𝛽𝑛𝑥𝑛+1𝛼𝑛𝛽𝑛1𝑠𝑛𝑠𝑛0𝑇(𝑠)𝑥𝑛𝑑𝑠,𝑛0.(4.12) Then {𝑥𝑛} converges strongly to ̃𝑥 as 𝑛, where ̃𝑥 is the unique solution in 𝐹(𝒮) of the variational inequality (𝐼𝑓)̃𝑥,𝐽(𝑥̃𝑥)0,𝑥𝐹(𝒮).(4.13)

Proof. We also show only those points in this proof which are different from that already presented in the proof of Theorem 4.1. We now show that 𝑓𝑥(̃𝑥)̃𝑥,𝐽𝑛̃𝑥0.(4.14) Let 𝑥𝑡=𝑡𝑓(𝑥𝑡)+(1𝑡)(1/𝜆𝑡)𝜆𝑡0𝑇(𝑠)𝑥𝑡𝑑𝑠, where 𝑡 and 𝜆𝑡 satisfies the condition of Theorem 3.2. Then it follows from Theorem 3.2 that ̃𝑥=lim𝑡0𝑥𝑡 and ̃𝑥 is the unique solution in 𝐹(𝒮) of the variational inequality (3.23). Clearly ̃𝑥 is a unique solution of (4.13). Take a subsequence {𝑥𝑛𝑘} of {𝑥𝑛} such that limsup𝑛𝑓𝑥(̃𝑥)̃𝑥,𝐽𝑛̃𝑥=lim𝑘𝑓𝑥(̃𝑥)̃𝑥,𝐽𝑛𝑘̃𝑥.(4.15) Since 𝑋 is uniformly convex and hence it is reflexive, we may further assume that 𝑥𝑛𝑘𝑝. Moreover, we note that 𝑝𝐹(𝒮) by Lemma 2.3 and (4.7). Therefore, from (4.15) and (3.23), we have limsup𝑛𝑓𝑥(̃𝑥)̃𝑥,𝐽𝑛̃𝑥=𝑓(̃𝑥)̃𝑥,𝐽(𝑝̃x)0.(4.16) That is, (4.14) holds.
Finally we will show that 𝑥𝑛̃𝑥. For each 𝑛0, by Lemma 2.2, we have 𝑥𝑛+1̃𝑥2=𝛼𝑛𝑓𝑥𝑛̃𝑥+𝛽𝑛𝑥𝑛+̃𝑥1𝛼𝑛𝛽𝑛1𝑠𝑛𝑠𝑛0𝑇(𝑠)𝑥𝑛𝑑𝑠̃𝑥21𝛼𝑛𝛽𝑛1𝑠𝑛𝑠𝑛0𝑇(𝑠)𝑥𝑛𝑑𝑠̃𝑥+𝛽𝑛𝑥𝑛̃𝑥2+2𝛼𝑛𝑓𝑥𝑛𝑥̃𝑥,𝐽𝑛+1̃𝑥1𝛼𝑛𝛽𝑛1𝑠𝑛𝑠𝑛0𝑇(𝑠)𝑥𝑛𝑑𝑠̃𝑥+𝛽𝑛𝑥𝑛̃𝑥2+2𝛼𝑛𝑓𝑥𝑛𝑥̃𝑥,𝐽𝑛+1̃𝑥1𝛼𝑛𝑥𝑛̃𝑥2+2𝛼𝑛𝑓𝑥𝑛𝑥𝑓(̃𝑥),𝐽𝑛+1̃𝑥+2𝛼𝑛𝑥𝑓(̃𝑥)̃𝑥,𝐽𝑛+1̃𝑥1𝛼𝑛2𝑥𝑛̃𝑥2+2𝛼𝑛𝑓𝑥𝑛𝐽𝑥𝑓(̃𝑥)𝑛+1̃𝑥+2𝛼𝑛𝑓𝑥(̃𝑥)̃𝑥,𝐽𝑛+1̃𝑥1𝛼𝑛2𝑥𝑛̃𝑥2+2𝛼𝑛𝛼𝑥𝑛𝑥̃𝑥𝑛+1̃𝑥+2𝛼𝑛𝑥𝑓(̃𝑥)̃𝑥,𝐽𝑛+1̃𝑥1𝛼𝑛2𝑥𝑛̃𝑥2+𝛼𝑛𝛼𝑥𝑛̃𝑥2+𝑥𝑛+1̃𝑥2+2𝛼𝑛𝑥𝑓(̃𝑥)̃𝑥,𝐽𝑛+1=̃𝑥1𝛼𝑛2+𝛼𝑛𝛼𝑥𝑛̃𝑥2+𝛼𝑛𝛼𝑥𝑛+1̃𝑥2+2𝛼𝑛𝑥𝑓(̃𝑥)̃𝑥,𝐽𝑛+1,̃𝑥(4.17) which implies that 𝑥𝑛+1̃𝑥212𝛼𝑛+𝛼2𝑛+𝛼𝑛𝛼1𝛼𝑛𝛼𝑥𝑛̃𝑥2+2𝛼𝑛1𝛼𝑛𝛼𝑥𝑓(̃𝑥)̃𝑥,𝐽𝑛+1=̃𝑥12(1𝛼)𝛼𝑛1𝛼𝑛𝛼𝑥𝑛̃𝑥2+𝛼2𝑛1𝛼𝑛𝛼𝑥𝑛̃𝑥2+2𝛼𝑛1𝛼𝑛𝛼𝑥𝑓(̃𝑥)̃𝑥,𝐽𝑛+1̃𝑥12(1𝛼)𝛼𝑛1𝛼𝑛𝛼𝑥𝑛̃𝑥2+2(1𝛼)𝛼𝑛1𝛼𝑛𝛼𝛼𝑛𝑀+12(1𝛼)𝑥1𝛼𝑓(̃𝑥)̃𝑥,𝐽𝑛+1=̃𝑥1𝛿𝑛𝑥𝑛̃𝑥2+𝛿𝑛𝛾𝑛,(4.18)where 𝑀=sup{𝑥𝑛̃𝑥2𝑛}, 𝛿𝑛=2(1𝛼)𝛼𝑛/(1𝛼𝑛𝛼), and 𝛾𝑛=(𝛼𝑛𝑀/2(1𝛼))+(1/(1𝛼))𝑓(̃𝑥)̃𝑥,𝐽(𝑥𝑛+1̃𝑥). It is easily to see that 𝛿𝑛0, 𝑛=1𝛿𝑛= and limsup𝑛𝛾𝑛0 by (4.14). Finally by using Lemma 2.6, we can obtain {𝑥𝑛} converges strongly to a fixed point ̃𝑥𝐹(𝒮). This completes the proof.

5. Applications

Theorem 5.1. Let 𝑋 be a uniformly convex Banach space that has a weakly continuous duality map 𝐽𝜑 with gauge 𝜑 and 𝐶 be a nonempty closed convex subset of 𝑋. Let 𝒮={𝑇(𝑠)0𝑠<} be a nonexpansive semigroup from 𝐶 into itself such that 𝐹(𝒮)=𝑠>0𝐹(𝑇(𝑠)) and 𝑓𝐶𝐶 a contraction mapping with the contractive coefficient 𝛼[0,1). Let {𝛼𝑛} be the sequence in (0,1) which satisfies lim𝑛𝛼𝑛0 and 𝑛=1𝛼𝑛=, and {𝑠𝑛} is a positive real divergent sequence such that lim𝑛𝑠𝑛. If the sequence {𝑥𝑛} defined by 𝑥0𝐶 and 𝑥𝑛+1=𝛼𝑛𝑓𝑥𝑛+1𝛼𝑛1𝑠𝑛𝑠𝑛0𝑇(𝑠)𝑥𝑛𝑑𝑠,𝑛0.(5.1) Then {𝑥𝑛} converges strongly to ̃𝑥 as 𝑛, where ̃𝑥 is the unique solution in 𝐹(𝒮) of the variational inequality (𝐼𝑓)̃𝑥,𝐽(𝑥̃𝑥)0,𝑥𝐹(𝒮).(5.2)

Proof. Taking 𝛽𝑛=0 in the in Theorem 4.1, we get the desired conclusion easily.

Theorem 5.2. Let 𝑋 be a uniformly convex Banach space with a uniformly Gâteaux differentiable norm and 𝐶 be a nonempty closed convex subset of 𝑋. Let 𝒮={𝑇(𝑠)0𝑠<} be a nonexpansive semigroup from 𝐶 into itself such that 𝐹(𝒮)=𝑠>0𝐹(𝑇(𝑠)) and 𝑓𝐶𝐶 a contraction mapping with the contractive coefficient 𝛼[0,1). Let {𝛼𝑛} be the sequence in (0,1) which satisfies lim𝑛𝛼𝑛0 and 𝑛=1𝛼𝑛=, and {𝑠𝑛} is a positive real divergent sequence such that lim𝑛𝑠𝑛. If the sequence {𝑥𝑛} defined by 𝑥0𝐶 and 𝑥𝑛+1=𝛼𝑛𝑓𝑥𝑛+1𝛼𝑛1𝑠𝑛𝑠𝑛0𝑇(𝑠)𝑥𝑛𝑑𝑠,𝑛0.(5.3) Then {𝑥𝑛} converges strongly to ̃𝑥 as 𝑛, where ̃𝑥 is the unique solution in 𝐹(𝒮) of the variational inequality (𝐼𝑓)̃𝑥,𝐽(𝑥̃𝑥)0,𝑥𝐹(𝒮).(5.4)

Proof. Taking 𝛽𝑛=0 in the in Theorem 4.2, we get the desired conclusion easily.

When 𝑋 is a Hilbert space, we can get the following corollary easily.

Corollary 5.3 (Reich [2]). Let 𝐶 be a nonempty closed convex subset of a real Hilbert space 𝐻. Let 𝒮={𝑇(𝑠)0𝑠<} be a strongly continuous semigroup of nonexpansive mapping on 𝐶 such that 𝐹(𝒮) is nonempty. Let {𝛼𝑛} and {𝛽𝑛} be sequences of real numbers in (0,1) which satisfies 𝛼𝑛+𝛽𝑛<1, lim𝑛𝛼𝑛0, lim𝑛𝛽𝑛0, and 𝑛=1𝛼𝑛=. Let 𝑓 be a contraction of 𝐶 into itself with a coefficient 𝛼[0,1) and {𝑠𝑛} be a positive real divergent sequence such that lim𝑛𝑠𝑛. Then the sequence {𝑥𝑛} defined by 𝑥0𝐶 and 𝑥𝑛+1=𝛼𝑛𝑓𝑥𝑛+𝛽𝑛𝑥𝑛+1𝛼𝑛𝛽𝑛1𝑠𝑛𝑠𝑛0𝑇(𝑠)𝑥𝑛𝑑𝑠,𝑛0.(5.5)
Then {𝑥𝑛} converges strongly to ̃𝑥, where ̃𝑥 is the unique solution in 𝐹(𝒮) of the variational inequality (𝐼𝑓)̃𝑥,𝑥̃𝑥0,𝑥𝐹(𝒮),(5.6) or equivalent ̃𝑥=𝑃𝐹(𝒮)(𝑓)(̃𝑥), where 𝑃 is a metric projection mapping from 𝐻 into 𝐹(𝒮).

Funding

This paper is supported by the National Science Foundation of China under Grants (10771050 and 11101305).