- About this Journal ·
- Abstracting and Indexing ·
- Aims and Scope ·
- Annual Issues ·
- Article Processing Charges ·
- Author Guidelines ·
- Bibliographic Information ·
- Citations to this Journal ·
- Contact Information ·
- Editorial Board ·
- Editorial Workflow ·
- Free eTOC Alerts ·
- Publication Ethics ·
- Recently Accepted Articles ·
- Reviewers Acknowledgment ·
- Submit a Manuscript ·
- Subscription Information ·
- Table of Contents

Abstract and Applied Analysis

Volume 2012 (2012), Article ID 491760, 12 pages

http://dx.doi.org/10.1155/2012/491760

## Multiple-Set Split Feasibility Problems for Asymptotically Strict Pseudocontractions

^{1}College of Statistics and Mathematics, Yunnan University of Finance and Economics, Kunming, Yunnan 650221, China^{2}Department of Mathematics Education and RINS, Gyeongsang National University, Jinju 660-701, Republic of Korea^{3}Department of Mathematics Education, Kyungnam University, Masan, Kyungnam 631-701, Republic of Korea^{4}Department of Mathematics, South West University of Science and Technology, Mianyang Sichuan 621010, China

Received 5 October 2011; Revised 5 December 2011; Accepted 7 December 2011

Academic Editor: Khalida Inayat Noor

Copyright © 2012 Shih-Sen Chang et al. 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

In this paper, we introduce an iterative method for solving the multiple-set split feasibility problems for asymptotically strict pseudocontractions in infinite-dimensional Hilbert spaces, and, by using the proposed iterative method, we improve and extend some recent results given by some authors.

#### 1. Introduction

The split feasibility problem (SFP) in finite dimensional spaces was first introduced by Censor and Elfving [1] for modeling inverse problems which arise from phase retrievals and in medical image reconstruction [2]. Recently, it has been found that the SFP can also be used in various disciplines such as image restoration, computer tomograph, and radiation therapy treatment planning [3–5].

The split feasibility problem in an infinite dimensional Hilbert space can be found in [2, 4, 6–8].

Throughout this paper, we always assume that are real Hilbert spaces, “”, “” are denoted by strong and weak convergence, respectively.

The purpose of this paper is to introduce and study the following *multiple-set split feasibility problem* for asymptotically strict pseudocontraction (MSSFP) in the framework of infinite-dimensional Hilbert spaces. Find such that
where is a bounded linear operator, and , , are the families of mappings and , respectively, and , where and denote the sets of fixed points of and , respectively. In the sequel, we use to denote the set of solutions of the problem (MSSFP), that is,

#### 2. Preliminaries

We first recall some definitions, notations, and conclusions which will be needed in proving our main results.

Let be a Banach space. A mapping is said to be *demiclosed* at origin if, for any sequence with and , we have . A Banach space is said to have *Opial’s property* if, for any sequence with , we have
for all with .

*Remark 2.1. *It is well known that each Hilbert space possesses Opial’s property.

*Definition 2.2. *Let be a real Hilbert space.

(1)A mapping is called *a **-asymptotically strict pseudocontraction* if there exists a constant and a sequence with such that
Especially, if for each in (2.2) and there exists such that
then is called a *-strict pseudocontraction*.(2)A mapping is said to be *uniformly **-Lipschitzian* if there exists a constant such that
(3)A mapping is said to be *semicompact* if, for any bounded sequence with , there exists a subsequence such that converges strongly to a point .

Now, we give one example of the ()-asymptotically strict pseudocontraction mapping.

*Example 2.3. *Let be the unit ball in a Hilbert space , and define a mapping by
where is a sequence in such that . It is proved in Goebel and Kirk [9] that(a) for all ,(b) for all and .Denote by , and . Then, we have
and so the mapping is a ()-asymptotically strict pseudocontraction.

*Remark 2.4. *(1) If we put in (2.2), then the mapping is asymptotically nonexpansive.

(2) If we put in (2.3), then the mapping is nonexpansive.

(3) Each ()-asymptotically strict pseudocontraction and each -strictly pseudocontraction both are demiclosed at origin [10].

Proposition 2.5. *Let be a ()- asymptotically strict pseudocontraction. If , then, for any and , the following inequalities hold and they are equivalent:
*

Lemma 2.6 (see [11]). *Let , , and be sequences of nonnegative real numbers satisfying
**
If and , then the limit exists.*

#### 3. Multiple-Set Split Feasibility Problem

For solving the multiple-set split feasibility problem (1.1), let us assume that the following conditions are satisfied:(C1) and are two real Hilbert spaces, is a bounded linear operator;(C2), , is a uniformly -Lipschitzian and -asymptotically strict pseudocontraction, and , , is a uniformly -Lipschitzian and -asymptotically strict pseudocontraction satisfying the following conditions:(a) and ,(b) and ,(c) and ,(d) and .

We are now in a position to give the following result.

Theorem 3.1. *Let , , , , , , , , , , , and be the same as above. Let be the sequence generated by
**
where , for all , is a sequence in , and is a constant satisfying the following conditions.*(e)* for all and , where is a positive constant.(1) If , then the sequence converges weakly to a point .(2) In addition, if there exists a positive integer such that is semicompact, then the sequences and both converge strongly to a point .*

*Proof. *(1) The proof is divided into 5 steps as follows.*Step 1. *We first prove that, for any , the limit
exists. In fact, since , , and . From (3.1) and (2.8), it follows that

On the other hand, since
Further, letting , , , in (2.9) and noting , it follows that
Substituting (3.7) into (3.6) and simplifying it, we have
Substituting (3.5) and (3.8) into (3.4) and simplifying it, we have
Again, substituting (3.9) into (3.3) and simplifying it, we have
By the condition (e), we have
where
By the condition (d), ; hence, from Lemma 2.6, we know that the following limit exists:
*Step 2. *We will now prove that, for each , the limit
exists. In fact, from (3.10) and (3.13), it follows that
This together with the condition (e) implies that
Therefore, it follows from (3.4), (3.13), and (3.17) that the limit exists.*Step 3. *Now, we prove that

In fact, it follows from (3.1) that
In view of (3.16) and (3.17), we have

Similarly, it follows from (3.1), (3.17), and (3.20) that
The conclusion (3.18) is proved.*Step 4. *Next, we prove that, for each ,
In fact, from (3.16), it follows that
Since is uniformly -Lipschitzian continuous, it follows from (3.18) and (3.23) that

Similarly, for each , it follows from (3.17) that
Since is uniformly -Lipschitzian continuous, by the same way as above, from (3.18) and (3.25), we can also prove that
*Step 5. *Finally, we prove that and , which is a solution of the problem (MSSFP). In fact, since is bounded, there exists a subsequence such that . Hence, for any positive integer , there exists a subsequence with such that . Again, from (3.22), it follows that
Since is demiclosed at zero (see Remark 2.4), it follows that . By the arbitrariness of , we have .

Moreover, it follows from (3.1) and (3.17) that
Since is a linear bounded operator, it follows that . For any positive integer , there exists a subsequence with such that . In view of (3.22), we have
Since is demiclosed at zero, we have . By the arbitrariness of , it follows that . This together with shows that , that is, is a solution to the problem (MSSFP).

Now, we prove that and . In fact, assume that there exists another subsequence such that with . Consequently, by virtue of (3.2) and Opial’s property of Hilbert space, we have
This is a contradiction. Therefore, . By using (3.1) and (3.17), we have
Therefore, the conclusion (I) follows.

(2) Without loss of generality, we can assume that is semicompact. It follows from (3.27) that
Therefore, there exists a subsequence of (for the sake of convenience, we still denote it by ) such that . Since , and so . By virtue of (3.2), we know that
that is, and both converge strongly to the point . This completes the proof.

If we put in Theorem 3.1, we can get the following.

Corollary 3.2. *Let , , and be the same as above and a family of asymptotically nonexpansive mappings. Let be the sequence generated by
**
where for all and is a sequence in satisfying the following conditions.*(e)* for all , where is a positive constant.(1) If , then the sequence converges weakly to a point .(2) In addition, if there exists a positive integer such that is semicompact, then the sequence converges strongly to a point .*

The following theorem can be obtained from Theorem 3.1 immediately.

Theorem 3.3. *Let and be two real Hilbert spaces, a bounded linear operator, , , a uniformly -Lipschitzian and -strict pseudocontraction, and , a uniformly -Lipschitzian and -strict pseudocontraction satisfying the following conditions: *(a)* and ,*(b)* and .**Let be the sequence generated by
**
where , , is a sequence in , and is a constant. If and the following condition is satisfied:*(c)* for all and , where is a constant,**then the sequence converges weakly to a point . In addition, if there exists a positive integer such that is semicompact, then the sequences and both converge strongly to the point .*

*Proof. *By the same way as given in the proof of Theorem 3.1 and using the case of strict pseudocontraction with the sequence , we can prove that, for each , the limits and exist,

In addition, if there exists a positive integer such that is semicompact, we can also prove that and both converge strongly to the point . This completes the proof.

If you put or (: the identity mapping) for each in Theorem 3.3, then we have the following.

Corollary 3.4. *Let be a real Hilbert space and , , a uniformly -Lipschitzian and -strict pseudocontraction satisfying the following conditions: *(a)*,*(b)*.** Let be the sequence generated by
**
where and is a sequence in . If and the following condition is satisfied:*(c)* for all , where is a constant,**then the sequence converges weakly to a point . In addition, if there exists a positive integer such that is semicompact, then the sequences converges strongly to the point .*

*Remark 3.5. *Theorems 3.1 and 3.3 improve and extend the corresponding results of Censor et al. [1, 4, 5], Byrne [2], Yang [7], Moudafi [12], Xu [13], Censor and Segal [14], Masad and Reich [15], and others in the following aspects:(1)for the framework of spaces, we extend the space from finite dimension Hilbert space to infinite dimension Hilbert space;(2)for the mappings, we extend the mappings from nonexpansive mappings, quasi-nonexpansive mapping or demicontractive mappings to finite families of asymptotically strictly pseudocontractions;(3)for the algorithms, we propose some new hybrid iterative algorithms which are different from ones given in [1, 2, 4, 5, 7, 14, 15]. And, under suitable conditions, some weak and strong convergences for the algorithms are proved.

#### Acknowledgments

The authors would like to express their thanks to the referees for their helpful suggestions and comments. This work was supported by the Natural Science Foundation of Yunnan University of Economics and Finance and the Basic Science Research Program through the National Research Foundation of Korea (NRF) funded by the Ministry of Education, Science and Technology (Grant no. 2011–0021821).

#### References

- Y. Censor and T. Elfving, “A multiprojection algorithm using Bregman projections in a product space,”
*Numerical Algorithms*, vol. 8, no. 2-4, pp. 221–239, 1994. View at Publisher · View at Google Scholar · View at Zentralblatt MATH - C. Byrne, “Iterative oblique projection onto convex sets and the split feasibility problem,”
*Inverse Problems*, vol. 18, no. 2, pp. 441–453, 2002. View at Publisher · View at Google Scholar - Y. Censor, T. Bortfeld, B. Martin, and A. Trofimov, “A unified approach for inversion problems in intensity-modulated radiation therapy,”
*Physics in Medicine and Biology*, vol. 51, no. 10, pp. 2353–2365, 2006. View at Publisher · View at Google Scholar · View at Scopus - Y. Censor, T. Elfving, N. Kopf, and T. Bortfeld, “The multiple-sets split feasibility problem and its applications for inverse problem and its
applications,”
*Inverse Problems*, vol. 21, no. 6, pp. 2071–2084, 2005. View at Publisher · View at Google Scholar · View at Zentralblatt MATH - Y. Censor X, A. Motova, and A. Segal, “Perturbed projections and subgradient projections for the multiple-sets split feasibility problem,”
*Journal of Mathematical Analysis and Applications*, vol. 327, no. 2, pp. 1244–1256, 2007. View at Publisher · View at Google Scholar - H. K. Xu, “A variable Krasnosel'skii-Mann algorithm and the multiple-set split feasibility problem,”
*Inverse Problems*, vol. 22, no. 6, pp. 2021–2034, 2006. View at Publisher · View at Google Scholar - Q. Yang, “The relaxed CQ algorithm solving the split feasibility problem,”
*Inverse Problems*, vol. 20, no. 4, pp. 1261–1266, 2004. View at Publisher · View at Google Scholar · View at Zentralblatt MATH - J. Zhao and Q. Yang, “Several solution methods for the split feasibility problem,”
*Inverse Problems*, vol. 21, no. 5, pp. 1791–1799, 2005. View at Publisher · View at Google Scholar · View at Zentralblatt MATH - K. Goebel and W. A. Kirk, “A fixed point theorem for asymptotically nonexpansive mappings,”
*Proceedings of the American Mathematical Society*, vol. 35, pp. 171–174, 1972. View at Publisher · View at Google Scholar · View at Zentralblatt MATH - T. H. Kim and H. K. Xu, “Convergence of the modified Mann's iteration method for asymptotically strict pseudo-contractions,”
*Nonlinear Analysis. Theory, Methods & Applications*, vol. 68, no. 9, pp. 2828–2836, 2008. View at Publisher · View at Google Scholar · View at Zentralblatt MATH - K. Aoyama, W. Kimura, W. Takahashi, and M. Toyoda, “Approximation of common fixed points of a countable family of nonexpansive mappings in a Banach space,”
*Nonlinear Analysis. Theory, Methods & Applications*, vol. 67, no. 8, pp. 2350–2360, 2007. View at Publisher · View at Google Scholar · View at Zentralblatt MATH - A. Moudafi, “The split common fixed-point problem for demicontractive mappings,”
*Inverse Problems*, vol. 26, no. 5, Article ID 055007, 6 pages, 2010. View at Publisher · View at Google Scholar · View at Zentralblatt MATH - H. K. Xu, “Iterative methods for the split feasibility problem in infinite-dimensional Hilbert spaces,”
*Inverse Problems*, vol. 26, no. 10, Article ID 105018, 17 pages, 2010. View at Publisher · View at Google Scholar · View at Zentralblatt MATH - Y. Censor and A. Segal, “The split common fixed point problem for directed operators,”
*Journal of Convex Analysis*, vol. 16, no. 2, pp. 587–600, 2009. View at Zentralblatt MATH - E. Masad and S. Reich, “A note on the multiple-set split convex feasibility problem in Hilbert space,”
*Journal of Nonlinear and Convex Analysis*, vol. 8, no. 3, pp. 367–371, 2007. View at Zentralblatt MATH