`Abstract and Applied AnalysisVolume 2012 (2012), Article ID 457024, 11 pageshttp://dx.doi.org/10.1155/2012/457024`
Research Article

## Strong Convergence of the Iterative Methods for Hierarchical Fixed Point Problems of an Infinite Family of Strictly Nonself Pseudocontractions

1Tongji Zhejiang College, Zhejiang 314000, China
2Department of Mathematics, Zhejiang Normal University, Zhejiang 321004, China

Received 20 August 2012; Accepted 11 September 2012

Copyright © 2012 Wei Xu and Yuanheng Wang. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

#### Abstract

This paper deals with a new iterative algorithm for solving hierarchical fixed point problems of an infinite family of pseudocontractions in Hilbert spaces by , , and , where is a nonself -strictly pseudocontraction. Under certain approximate conditions, the sequence converges strongly to , which solves some variational inequality. The results here improve and extend some recent results.

#### 1. Introduction

Let be a real Hilbert space with inner product and norm . Let be a nonempty closed convex subset of . A mapping is called a contraction with coefficient if there exits a constant such that

A mapping is called nonexpansive if

A mapping is called -strictly pseudocontraction if there exits a constant such that

Write as the set of fixed points of , that is, . In 2000, Moudafi [1] introduced an iterative scheme for nonexpansive mappings where be a contraction on and the sequence started with arbitrary initial . In 2004, Xu [2] proved that the sequence generated by (1.4) converges strongly to a fixed point of under certain conditions on the parameters, which also solves the variational inequality

Recently, some authors studied the problems of fixed points of nonexpansive mappings with strongly positive operators, Lipschitizian, strongly monotone operators, and extragradient methods, and many convergence results were obtained (such as, see [39]).

In 2008, Yao et al. [10] introduced the following iterative scheme: where is a contraction on and is nonexpansive mapping. In 2012, Song et al. [11] analyzed the following iterative algorithm: where is a -strictly pseudocontraction, is a lipschitzian and strongly monotone operator, is a contraction, and is the metric projection from onto . Under certain conditions on the parameters, the sequence generated by (1.7) converges strongly to a fixed point of a countable family of -strictly pseudocontraction, which is the solution of some variational inequality.

On the other hand, in 2010, Yao et al. [12] introduced the iterative algorithm for solving hierarchical fixed point of nonexpansive mappings and gave the following theorem.

Theorem YCL
Let be a nonempty closed convex subset of a real Hilbert space . Let be a contraction with coefficient . Suppose the following conditions are satisfied:(i) and ;(ii) ;(iii) and .Then the sequence generated by converges strongly to a point of , which is the unique solution of the variational inequality

Motivated and inspired by the iterative schemes (1.7) and (1.8), we introduce and study the hybrid iterative algorithm for solving some hierarchical fixed point problem of infinite family of strictly nonself pseudocontractions: where , , and are the same in (1.8), is a nonself -strictly pseudocontraction. Under certain conditions on the parameters, the sequence generated by (1.10) converges strongly to a common fixed point of infinite family of -strictly pseudocontractions, which solves the variational inequality So, our results extend and improve some results of other authors (such as [1012]) from self-mappings to nonself-mappings, from nonexpansive mappings to -strictly pseudocontraction, and from one mapping to a infinite family mappings.

#### 2. Preliminaries

In this section, we recall some basic facts that will be needed in the proof of the main results.

Lemma 2.1 (see [13] demiclosedness principle). Let be a nonempty closed convex subset of a real Hilbert space and let be a nonexpansive mapping with . If is a sequence in weakly converging to and if converges strongly to , then ; in particular if , then .

Lemma 2.2 (see [9]). Let and be any points. The following results hold:(1) that if and only if there holds the relation: (2) that if and only if there holds the relation: (3) there holds the ration:

Lemma 2.3 (see [14]). For all , the following inequality holds:

Lemma 2.4 (see [3]). Let be a contraction with coefficient and let be a nonexpansive mapping. Then for all :(1) the mapping is strongly monotone with coefficient , that is, (2) the mapping is monotone:

Lemma 2.5 (see [15]). Let be a Hilbert space and let be a nonempty convex subset of . Let be a -strictly pseudocontractive mapping with . Then .

Lemma 2.6 (see [16]). Let be a Hilbert space and let be a nonempty convex subset of . Let be a -strictly pseudocontractive mapping. Define a mapping for all . Then as , is a nonexpansive mapping such that .

Lemma 2.7 (see [11]). Let be a Hilbert space and let be a nonempty convex subset of . Assume that is a countable family of -strictly pseudocontraction for some and such that . Assume that is a positive sequence such that . Then is a -strictly pseudocontraction with coefficient and .

Lemma 2.8 (see [17]). Let be a sequence of nonnegative real numbers satisfying the following relation: , where , or , then .

#### 3. Main Results

In this section, we prove some strong convergence results on the iterative algorithm for solving hierarchical fixed point problem.

Theorem 3.1. Let be a real Hilbert space and let be a nonempty closed convex subset of . Let be a (possibly nonself) contraction with coefficient , and let be a nonexpansive mapping. Let be a countable family of -strictly (possibly nonself) pseudocontraction with such that . Let the sequence be generated by (1.10) with , in . Suppose for each , , for all and for all. Assume that the parameters satisfy the following conditions:(i) and ;(ii) ;(iii) , , and ;(iv) and .
Then the sequence converges strongly to , which solves the variational inequality

Proof. The proof is divided into four steps.
Step 1. We show that the sequences and are bounded.
For each , write and by Lemma 2.7, we have is a -strictly pseudocontraction on and , for all . Therefore, the iterative algorithm (1.10) can be written as
By condition (ii), without loss of generality, we may assume , for all . Take and we estimate . For fixed approximate , define a mapping and by Lemma 2.6, is a nonexpansive mapping and . So
Together with (3.2) and (3.3), we get
Therefore, we obtain which gives the results that the sequence is bounded and so are , , , .
Step 2. Now we show that as . Let Next we estimate . From (3.2),we have where is a constant such that
From (3.2), we also obtain Together with (3.7) and (3.9), we have By Lemma 2.8 and conditions (i)–(iii), we immediately get as .
Step 3. Next we prove that as .
Let . By Lemma 2.7 and condition (iv), we get the results that is a -strictly pseudocontraction with and as , for any , Because , , and , so we obtain as .
Step 4. Now we show that , where .
Since the sequence is bounded, we take subsequence of such that and . Notice that and by Lemmas 2.1 and 2.5, we have . Then
Now, by Lemma 2.2, we get . Therefore, we have
Hence it follows that
Now, by Lemma 2.8, conditions (i)–(iii), and we have as and also solves the variational inequality This completes the proof.

From Theorem 3.1, if we take or , for all , we get the following corollary.

Corollary 3.2. Let be a real Hilbert space and be a nonempty closed convex subset of . Let be a (possibly nonself) contraction with coefficient and let be a countable family of -strictly (possibly nonself) pseudocontraction with and such that . Let the sequence be generated by with in . Suppose for each , , for all and for all . Assume that the parameters satisfied the following conditions:(i) and ;(ii) , and ;(iii) and .
Then the the sequence converges strongly to , which solves the variational inequality

Remark 3.3. Theorem 3.1 extends and improves Theorem YCL in the following way. The nonexpasnsive self-mapping is extended to a infinite family of nonself -strictly pseudocontraction . If we take in Theorem 3.1, then reduces to a nonexpasnsive (possibly nonself) mapping, thus Theorem 3.1 reduces to Theorem YCL.

#### Acknowledgments

The authors would like to thank editors and referees for many useful comments and suggestions for the improvement of the paper. This paper was partially supported by the Natural Science Foundation of Zhejiang Province (Y6100696) and NSFC (11071169).

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