Abstract

We construct a new Halpern type iterative scheme by hybrid methods and prove strong convergence theorem for approximation of a common fixed point of two countable families of weak relatively nonexpansive mappings in a uniformly convex and uniformly smooth real Banach space using the properties of generalized -projection operator. Using this result, we discuss strong convergence theorem concerning general -monotone mappings. Our results extend many known recent results in the literature.

1. Introduction

Let be a real Banach space with dual and let be nonempty, closed and convex subset of . A mapping is called nonexpansive if A point is called a fixed point of if . The set of fixed points of is denoted by .

We denote by the normalized duality mapping from to defined by The following properties of are well known. (The reader can consult [13] for more details). (1)If is uniformly smooth, then is norm-to-norm uniformly continuous on each bounded subset of .(2).(3)If is reflexive, then is a mapping from onto .(4)If is smooth, then is single valued.

Throughout this paper, we denote by , the functional on defined by From [4], in uniformly convex and uniformly smooth Banach spaces, we have

Definition 1.1. Let be a nonempty subset of and let be a countable family of mappings from into . A point is said to be a asymptotic fixed point of if contains a sequence which converges weakly to and . The set of asymptotic fixed points of is denoted by . We say that is countable family of relatively nonexpansive mappings (see, e.g., [5]) if the following conditions are satisfied:(R1);(R2);(R3).

Definition 1.2. A point is said to be a strong asymptotic fixed point of if contains a sequence which converges strongly to and The set of strong asymptotic fixed points of is denoted by . We say that a mapping is countable family of weak relatively nonexpansive mappings (see, e.g., [5]) if the following conditions are satisfied: (R1);(R2);(R3).

Definition 1.3. Let be a nonempty subset of and let be a mapping from into . A point is said to be an asymptotic fixed point of if contains a sequence which converges weakly to and . The set of asymptotic fixed points of is denoted by . We say that a mapping is relatively nonexpansive (see, e.g., [611]) if the following conditions are satisfied:(R1);(R2);(R3).

Definition 1.4. A point is said to be an strong asymptotic fixed point of if contains a sequence which converges strongly to and . The set of strong asymptotic fixed points of is denoted by . We say that a mapping is weak relatively nonexpansive (see, e.g., [12, 13]) if the following conditions are satisfied:(R1);(R2);(R3).

Definition 1.3 (Definition 1.4, resp.) is a special form of Definition 1.1 (Definition 1.2, resp.) as , for all . Furthermore, Su et al. [5] gave an example which is a countable family of weak relatively nonexpansive mappings but not a countable family of relatively nonexpansive mappings. It is obvious that relatively nonexpansive mapping is weak relatively nonexpansive mapping. In fact, for any mapping , we have . Therefore, if is relatively nonexpansive mapping, then . Kang et al. [12] gave an example of a weak relatively nonexpansive mapping which is not relatively nonexpansive.

In [9], Matsushita and Takahashi introduced a hybrid iterative scheme for approximation of fixed points of relatively nonexpansive mapping in a uniformly convex real Banach space which is also uniformly smooth:, They proved that converges strongly to , where .

In [14], Plubtieng and Ungchittrakool introduced the following hybrid projection algorithm for a pair of relatively nonexpansive mappings:, where and are sequences in satisfying and and are relatively nonexpansive mappings and is the single-valued duality mapping on . They proved under the appropriate conditions on the parameters that the sequence generated by (1.6) converges strongly to a common fixed point of and .

Recently, Li et al. [15] introduced the following hybrid iterative scheme for approximation of fixed points of a relatively nonexpansive mapping using the properties of generalized -projection operator in a uniformly smooth real Banach space which is also uniformly convex: , They proved a strong convergence theorem for finding an element in the fixed points set of . We remark here that the results of Li et al. [15] extended and improved on the results of Matsushita and Takahashi, [9].

Quite recently, motivated by the results of Matsushita and Takahashi [9] and Plubtieng and Ungchittrakool [14], Su et al. [5] proved the following strong convergence theorem by Halpern type hybrid iterative scheme for approximation of common fixed point of two countable families of weak relatively nonexpansive mappings in uniformly convex and uniformly smooth Banach space.

Theorem 1.5. Let be a uniformly convex real Banach space which is also uniformly smooth. Let be a nonempty, closed and convex subset of . Suppose and are two countable families of weak relatively nonexpansive mappings of into itself such that . Suppose is iteratively generated by , with the conditions(i);(ii). Then, converges strongly to .

Motivated by the above mentioned results and the ongoing research, it is our purpose in this paper to prove a strong convergence theorem by Halpern type iterative scheme for two countable families of weak relatively nonexpansive mappings in a uniformly convex and uniformly smooth real Banach space using the properties of generalized -projection operator. Our results extend the results of Su et al. [5] and many other recent known results in the literature.

2. Preliminaries

Let be a real Banach space. The modulus of smoothness of is the function defined by is uniformly smooth if and only if Let dim . The modulus of convexity of is the function defined by is uniformly convex if for any , there exists a such that if with and , then . Equivalently, is uniformly convex if and only if for all . A normed space is called strictly convex if for all , we have .

Let be a smooth, strictly convex, and reflexive real Banach space and let be a nonempty, closed, and convex subset of . Following Alber [16], the generalized projection from onto is defined by The existence and uniqueness of follows from the property of the functional and strict monotonicity of the mapping (see, e.g., [3, 4, 1618]). If is a Hilbert space, then is the metric projection of onto .

Next, we recall the concept of generalized -projector operator, together with its properties. Let be a functional defined as follows: where is a positive number and is proper, convex, and lower semicontinuous. From the definitions of and , it is easy to see the following properties:(i) is convex and continuous with respect to when is fixed;(ii) is convex and lower semicontinuous with respect to when is fixed.

Definition 2.1 (Wu and Huang [19]). Let be a real Banach space with its dual . Let be a nonempty, closed, and convex subset of . We say that is a generalized -projection operator if

For the generalized -projection operator, Wu and Huang [19] proved the following theorem basic properties.

Lemma 2.2 (Wu and Huang [19]). Let be a real reflexive Banach space with its dual . Let be a nonempty, closed, and convex subset of . Then the following statements hold:(i) is a nonempty closed convex subset of for all ;(ii) if is smooth, then for all if and only if (iii)if is strictly convex and is positive homogeneous (i.e., for all such that where ), then is a single valued mapping.

Fan et al. [20] showed that the condition is positive homogeneous which appeared in Lemma 2.2 can be removed.

Lemma 2.3 (Fan et al. [20]). Let be a real reflexive Banach space with its dual and a nonempty, closed and convex subset of . Then if is strictly convex, then is a single valued mapping.

Recall that is a single valued mapping when is a smooth Banach space. There exists a unique element such that for each . This substitution in (4.3) gives Now, we consider the second generalized -projection operator in a Banach space.

Definition 2.4. Let be a real Banach space and a nonempty, closed and convex subset of . We say that is a generalized -projection operator if

Obviously, the definition of is a countably family of weak relatively nonexpansive mappings is equivalent to;..

Lemma 2.5 (Li et al. [15]). Let be a Banach space and be a lower semicontinuous convex functional. Then there exists and such that

We know that the following lemmas hold for operator .

Lemma 2.6 (Li et al. [15]). Let be a nonempty, closed, and convex subset of a smooth and reflexive Banach space . Then the following statements hold:
(i) is a nonempty closed, and convex subset of for all ;
(ii) for all if and only if
(iii) if is strictly convex, then is a single valued mapping.

Lemma 2.7 (Li et al. [15]). Let be a nonempty, closed, and convex subset of a smooth and reflexive Banach space . Let and . Then

Lemma 2.8 (Su et al. [5]). Let be a nonempty, closed, and convex subset of a smooth, strictly convex Banach space . Let be a weak relatively nonexpansive mapping of into itself. Then is closed and convex.

Also, this following lemma will be used in the sequel.

Lemma 2.9 (Kamimura and Takahashi [4]). Let be a nonempty, closed and convex subset of a smooth, uniformly convex Banach space . Let and be sequences in such that either or is bounded. If , then .

Lemma 2.10 (Cho et al. [21]). Let be a uniformly convex real Banach space. For arbitrary , let and such that . Then, there exists a continuous strictly increasing convex function such that for every , the following inequality holds:

For the rest of this paper, the sequence converges strongly to will be denoted by as and we will assume that such that .

3. Main Results

Theorem 3.1. Let be a uniformly convex real Banach space which is also uniformly smooth. Let be a nonempty, closed, and convex subset of . Suppose and are two countable families of weak relatively nonexpansive mappings of into itself such that . Let be a convex and lower semicontinuous mapping with and suppose is iteratively generated by , with the conditions
(i);
(ii);
(iii) for some .
Then, converges strongly to .

Proof. We first show that is closed and convex. It is obvious that is closed and convex. Thus, we only need to show that is closed and convex for each . Since is equivalent to This implies that is closed and convex for all.
We next show that . For , we have . Then for each , we obtain So, . This implies that . Since is closed and convex and , it follows that is well defined for all .
We now show that exists. Since is a convex and lower semicontinuous, applying Lemma 2.5, we see that there exists and such that It follows that Since , it follows from (3.5) that for each . This implies that is bounded and so is . By the construction of , we have that and for any positive integer . It then follows Lemma 2.7 that It is obvious that In particular, and so is nondecreasing. It follows that the limit of exists.
Now, (3.7) implies that Taking the limit as in (3.10), we obtain It then follows from Lemma 2.9 that as . Hence, is Cauchy. Since is a Banach space and is closed and convex, then there exists such that .
Now since as we have in particular that as and this further implies that . Since , we have Then, we obtain Since is uniformly convex and smooth, we have from Lemma 2.9 that So, Hence, Since is uniformly norm-to-norm continuous on bounded sets and , we obtain Since , then Since is uniformly norm-to-norm continuous on bounded sets, we have so that . Since is bounded, so are , and .
Let . Then from Lemma 2.10, we have It then follows that But From and , we obtain Using the condition and , we have By property of , we have . Since is also uniformly norm-to-norm continuous on bounded sets, we have Furthermore, This implies that Since and , it follows from (3.27) that On the other hand, by using the property of norm, we obtain This follows that By (3.27) and , we have Since and , we have Similarly, we can show that Since and are uniformly closed, we have .
Finally, we show that . Since is a closed and convex set, from Lemma 2.6, we know that is single valued and denote . Since and , we have We know that is convex and lower semicontinuous with respect to when is fixed. This implies that From the definition of and , we see that . This completes the proof.

Corollary 3.2. Let be a uniformly convex real Banach space which is also uniformly smooth. Let be a nonempty, closed, and convex subset of . Suppose and are two countable families of weak relatively nonexpansive mappings of into itself such that . Suppose is iteratively generated by with the conditions
(i);(ii);(iii) for some .Then, converges strongly to .

Proof. Take for all in Theorem 3.1, and . Then, the desired conclusion follows.

Remark 3.3. Our Corollary 3.2 extends and improves on Theorem 1.5. In fact, the iterative procedure (3.36) is simpler than (1.8) in the following two aspects: the process of computing is removed; the process of computing is replaced by computing .

4. Applications

A mapping from to is said to be (i)monotone if ;(ii)strictly monotone if is monotone and if and only if ;(iii)-Lipschitz continuous if there exists a constant such that .

Let be a set valued mapping from to with domain and range . A set-valued mapping is said to be (i)monotone if for each and ,(ii)-strongly monotone if for each and ,(iii)maximal monotone if is monotone and its graph is not properly contained in the graph of any other monotone operator,(iv)a general -monotone if is monotone and holds for every , where is a mapping from to .

We denote the set by . From Li et al. [15], we know that if is strictly monotone and is general -monotone mapping, then is closed and convex. Furthermore, for every and , there exists a unique such that . Thus, we can define a single-value mapping by . It is obvious that for all .

Lemma 4.1 (Alber, [16]). If is a uniformly convex and uniformly smooth Banach space, is the modulus of convexity of and is the modulus of smoothness of , then the inequalities hold for all and in , where .

Lemma 4.2 (Xia and Huang, [22]). Let be a Banach space with dual space a strictly monotone mapping and a general -monotone mapping. Then(i) is a single valued mapping;(ii)if is reflexive and is -strongly monotone, is Lipschitz continuous with constant , where .

Theorem 4.3. Let be a uniformly convex real Banach space which is also uniformly smooth with and for some . Suppose is a strictly monotone and -Lipschitz continuous mapping and is a general -monotone mapping and -strongly monotone mapping with such that . Let and be a convex and lower semicontinuous mapping with and suppose for each , there exists a such that . Let be iteratively generated by , with the conditions(i);(ii);(iii) for some ; (iv). Then, converges strongly to .

Proof. We only need to prove that and are countable families of weak relatively nonexpansive mappings with common fixed points sets and , respectively. Firstly, we have . Secondly, we show that . Now, by Lemma 4.2 and the Lipschitz continuity of , we have By (4.3) and Lemma 4.1, Since , it follows from (4.4) that . Thirdly, we show that . We first show that . Let , then there exists such that and . Since is -Lipschitz continuous, Letting , we obtain It follows from and the monotonicity of that for all and . Taking the limit as , we obtain for all and . By the maximality of , we know that . On the other hand, we know that for all , therefore, . Thus, we have proved that is a countable family of weak relatively nonexpansive mappings with common fixed points sets . By following the same arguments, we can show that is a countable family of weak relatively nonexpansive mappings with common fixed points sets .

Let be a uniformly convex and uniformly smooth Banach space, and be a maximal monotone mapping. Then, we can define for all . We know that is relatively nonexpansive and therefore weak relatively nonexpansive and for all (see, e.g., [2]), where denotes the fixed points set of . By Corollary 3.2, we obtain the following theorem.

Theorem 4.4. Let be a uniformly convex real Banach space which is also uniformly smooth. For each , let be a maximal monotone operator and let for all and suppose is a nonempty closed and convex subset of such that and . Let be iteratively generated by, with the conditions(i);(ii);(iii) for some ; (iv). Then, converges strongly to .

Acknowledgment

The author would like to express his thanks to Professor Jean Pierre Gossez and the referees for their valuable suggestions and comments.