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Approximating Fixed Points of Non-Lipschitzian Mappings by Metric Projections
Fixed Point Theory and Applications volume 2011, Article number: 976192 (2011)
Abstract
We define and study a new iterative algorithm inspired by Matsushita and Takahashi (2008). We establish a strong convergence theorem of the proposed algorithm for asymptotically nonexpansive in the intermediate sense mappings in uniformly convex and smooth Banach spaces by using metric projections. This theorem generalizes and refines Matsushita and Takahashi's strong convergence theorem which was established for nonexpansive mappings.
1. Introduction and Preliminaries
Let be a real Banach space, and let be a nonempty subset of . A mapping is said to be asymptotically nonexpansive if there exists a sequence in with such that
for all and each . If , then is known as nonexpansive mapping. is said to be asymptotically nonexpansive in the intermediate sense [1] provided is uniformly continuous and
is said to be Lipschitzian if there exists a constant such that
for all .
It follows from the above definitions that every asymptotically nonexpansive mapping is asymptotically nonexpansive in the intermediate sense and Lipschitzian mapping but the converse does not hold such as in the following example.
Example 1.1.
Let , and . We define and for each
We see that is continuous on the compact interval and so it is uniformly continuous. Consider the function defined as
Then, for all and uniformly. On the other hand, compactness of gives that for each there exist such that
Therefore,
Thus, is asymptotically nonexpansive in the intermediate sense.
It is easy to see that is differentiable on and for all . Let there exist such that
for all . Now, choose such that . Then, for each with , it follows from (1.8) that
This contradiction shows that is not Lipschitzian mapping and so it is not asymptotically nonexpansive mapping. Another example of an asymptotically nonexpansive in the intermediate sense mapping which is not asymptotically nonexpansive can be found in [2].
It is known [3] that if is a uniformly convex Banach space and is asymptotically nonexpansive in the intermediate sense self-mapping of a bounded closed convex subset of , then , where denotes the set of all fixed points of . Let be the dual of . We denote the value of at by . When is a sequence in , we denote strong convergence of to by and weak convergence by . A Banach space is said to be strictly convex if for all with and . A Banach space is also said to be uniformly convex if for any two sequences and in such that and . A Banach space is said to have Kadec-Klee property if for every sequence in , and imply that . Every uniformly convex Banach space has the Kadec-Klee property [4]. Let be the unit sphere of . Then the Banach space is said to be smooth if
exists for each . The normalized duality mapping from to is defined by
for all . It is known that a Banach space is smooth if and only if the normalized duality mapping is single-valued. Some properties of duality mapping have been given in [4–6]. Let be a closed convex subset of a reflexive, strictly convex and smooth Banach space . Then for any there exists a unique point such that
The mapping defined by is called the metric projection from onto . Let and . Then, it is known that if and only if
Fixed points of nonlinear mappings play an important role in solving systems of equations and inequalities that often arise in applied sciences. Approximating fixed points of asymptotically nonexpansive and nonexpansive mappings with implicit and explicit iterative schemes has been studied by many authors (see, e.g., [8–14]).
On the other hand, using the metric projection, Nakajo and Takahashi [15] introduced an iterative algorithm in the framework of Hilbert spaces and gave strong convergence theorem for nonexpansive mappings. Xu [16] extended Nakajo and Takahashi's theorem to Banach spaces by using the generalized projection. Recently, Matsushita and Takahashi [17] introduced an iterative algorithm for nonexpansive mappings in Banach spaces as follows.
Let be a nonempty convex bounded subset of a uniformly convex and smooth Banach space , and let be a nonexpansive self-mapping of . For a given , compute the sequence by the iterative algorithm
where denotes the convex closure of the set and is a sequence in with . They proved that generated by (1.14) converges strongly to a fixed point of .
Inspired and motivated by these facts, we introduce a new iterative algorithm to find fixed points of asymptotically nonexpansive in the intermediate sense mappings in a uniformly convex and smooth Banach space. Let , and compute the sequence by the iterative algorithm
where is a sequence in with and is the metric projection from onto .
In the sequel, the following lemmas are needed to prove our main convergence theorem.
Lemma 1.2 (see [18, Lemma  1.5]).
Let be a nonempty bounded closed convex subset of a uniformly convex Banach space and be a mapping which is asymptotically nonexpansive in the intermediate sense. For each , there exist integers and such that if is any integer, , and if for , then
for any numbers with .
Lemma 1.3 (see [18, Lemma  1.6]).
Let be a real uniformly convex Banach space, let be a nonempty closed convex subset of , and let be a mapping which is asymptotically nonexpansive in the intermediate sense. If is a sequence in converging weakly to and if
then is demiclosed at zero; that is, for each sequence in , if for some and , then .
2. Main Results
In this section, we study the iterative algorithm (1.15) to find fixed points of asymptotically nonexpansive in the intermediate sense mappings in a uniformly convex and smooth Banach space. We first prove that the sequence generated by (1.15) is well-defined. Then, we prove that converges strongly to , where is the metric projection from onto .
Lemma 2.1.
Let be a nonempty closed convex subset of a reflexive, strictly convex, and smooth Banach space , and let be a mapping which is asymptotically nonexpansive in the intermediate sense. If , then the sequence generated by (1.15) is well-defined.
Proof.
It is easy to check that is closed and convex and for each . Moreover and so . Suppose . Since , it follows from (1.13) that
for all and so for all , that is . Thus, . By mathematical induction, we obtain that for all . Therefore, is well-defined.
In order to prove our main result, the following lemma is needed.
Lemma 2.2.
Let be a nonempty bounded closed convex subset of a uniformly convex and smooth Banach space , and let be a mapping which is asymptotically nonexpansive in the intermediate sense. If is the sequence generated by (1.15), then
for all integers .
Proof.
Let be fixed, and let be arbitrary. We take for simplicity. Since , we have . Since , there exist elements in and numbers with such that
for all . We put , , and . The inequality (2.4) implies that
for all . Now, let , and choose an integer and with as in Lemma 1.2. Since and , we may choose an integer such that for all
This together with (2.5) implies that
for all and all . Thus,
and so by Lemma 1.2 we have
where . It follows from (2.3)–(2.9) that
for all ; that is,
This completes the proof.
Now, we state and prove the strong convergence theorem of the iterative algorithm (1.15).
Theorem 2.3.
Let be a nonempty bounded closed convex subset of a uniformly convex and smooth Banach space , let be a mapping which is asymptotically nonexpansive in the intermediate sense and let be the sequence generated by (1.15). Then converges strongly to the element of .
Proof.
Put . Since and , we have
for all . On the other hand, we observe that
and so by uniform continuity of and Lemma 2.2 we have
Since is bounded, there exists a subsequence of such that . It follows from (2.14) and Lemma 1.3 (demiclosedness of ) that . From the weakly lower semicontinuity of norm and (2.12), we obtain
This together with the uniqueness of implies that , and hence . This gives that . By using the same argument as in proof of (2.15), we have
Since is uniformly convex, by Kadec-Klee property, we obtain that . It follows that . This completes the proof.
Since every nonexpansive mapping is asymptotically nonexpansive and every asymptotically nonexpansive mapping is asymptotically nonexpansive in the intermediate sense, we have the following result which generalizes and refines the strong convergence theorem of Matsushita and Takahashi [17, Theorem  3.1].
Corollary 2.4.
Let be a nonempty bounded closed convex subset of a uniformly convex and smooth Banach space , let be a nonexpansive self-mapping of , and let be the sequence generated by (1.15). Then converges strongly to the element of .
References
Bruck R, Kuczumow T, Reich S: Convergence of iterates of asymptotically nonexpansive mappings in Banach spaces with the uniform Opial property. Colloquium Mathematicum 1993,65(2):169–179.
Kim GE, Kim TH: Mann and Ishikawa iterations with errors for non-Lipschitzian mappings in Banach spaces. Computers & Mathematics with Applications 2001,42(12):1565–1570. 10.1016/S0898-1221(01)00262-0
Kirk WA: Fixed point theorems for non-Lipschitzian mappings of asymptotically nonexpansive type. Israel Journal of Mathematics 1974, 17: 339–346. 10.1007/BF02757136
Agarwal RP, O'Regan D, Sahu DR: Fixed Point Theory for Lipschitzian-Type Mappings with Applications, Topological Fixed Point Theory and Its Applications. Volume 6. Springer, New York, NY, USA; 2009:x+368.
Cioranescu I: Geometry of Banach Spaces, Duality Mappings and Nonlinear Problems, Mathematics and Its Applications. Volume 62. Kluwer Academic Publishers, Dordrecht, The Netherlands; 1990:xiv+260.
Takahashi W: Nonlinear Functional Analysis. Yokohama Publishers, Yokohama, Japan; 2000:iv+276. Fixed Point Theory and Its Applications
Alber YI: Metric and generalized projection operators in Banach spaces: properties and applications. In Theory and Applications of Nonlinear Operators of Accretive and Monotone Type, Lecture Notes in Pure and Appl. Math.. Volume 178. Dekker, New York, NY, USA; 1996:15–50.
Browder FE: Convergence of approximants to fixed points of nonexpansive non-linear mappings in Banach spaces. Archive for Rational Mechanics and Analysis 1967, 24: 82–90.
Wittmann R: Approximation of fixed points of nonexpansive mappings. Archiv der Mathematik 1992,58(5):486–491. 10.1007/BF01190119
Schu J: Iterative construction of fixed points of asymptotically nonexpansive mappings. Journal of Mathematical Analysis and Applications 1991,158(2):407–413. 10.1016/0022-247X(91)90245-U
Chidume CE, Shahzad N, Zegeye H: Convergence theorems for mappings which are asymptotically nonexpansive in the intermediate sense. Numerical Functional Analysis and Optimization 2004,25(3–4):239–257.
Zegeye H, Shahzad N: Strong convergence theorems for a finite family of nonexpansive mappings and semigroups via the hybrid method. Nonlinear Analysis: Theory, Methods & Applications 2010,72(1):325–329. 10.1016/j.na.2009.06.056
Zegeye H, Shahzad N: Strong convergence theorems for a finite family of asymptotically nonexpansive mappings and semigroups. Nonlinear Analysis: Theory, Methods & Applications 2008,69(12):4496–4503. 10.1016/j.na.2007.11.005
Zegeye H, Shahzad N: Corrigendum to: "Strong convergence theorems for a finite family of asymptotically nonexpansive mappings and semigroups". Nonlinear Analysis: Theory, Methods and Applications 2010,73(6):1905–1907. 10.1016/j.na.2010.04.032
Nakajo K, Takahashi W: Strong convergence theorems for nonexpansive mappings and nonexpansive semigroups. Journal of Mathematical Analysis and Applications 2003,279(2):372–379. 10.1016/S0022-247X(02)00458-4
Xu H-K: Strong convergence of approximating fixed point sequences for nonexpansive mappings. Bulletin of the Australian Mathematical Society 2006,74(1):143–151. 10.1017/S0004972700047535
Matsushita S-Y, Takahashi W: Approximating fixed points of nonexpansive mappings in a Banach space by metric projections. Applied Mathematics and Computation 2008,196(1):422–425. 10.1016/j.amc.2007.06.006
Yang L-P, Xie X, Peng S, Hu G: Demiclosed principle and convergence for modified three step iterative process with errors of non-Lipschitzian mappings. Journal of Computational and Applied Mathematics 2010,234(4):972–984. 10.1016/j.cam.2009.01.022
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The authors thank the referees and the editor for their careful reading of the manuscript and their many valuable comments and suggestions for the improvement of this paper.
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Dehghan, H., Gharajelo, A. & Afkhamitaba, D. Approximating Fixed Points of Non-Lipschitzian Mappings by Metric Projections. Fixed Point Theory Appl 2011, 976192 (2011). https://doi.org/10.1155/2011/976192
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DOI: https://doi.org/10.1155/2011/976192