Abstract
The purpose of this research work is to prove some weak and strong convergence results for maps satisfying (E)-condition through three-step Thakur (J. Inequal. Appl. 2014, 2014:328.) iterative process in Banach spaces. We also present a new example of maps satisfying (E)-condition, and prove that its three-step Thakur iterative process is more efficient than the other well-known three-step iterative processes. At the end of the paper, we apply our results for finding solutions of split feasibility problems. The presented research work updates some of the results of the current literature.
1. Introduction
Let T be a selfmap on a subset W of a Banach space . Subsequently, T is called contraction map on W if for each pair of elements , there is some real constant , such that
If (1) holds at , then T is called non-expansive. When a point exists with the property , then g is called a fixed point of T. The fixed point set of T we often denote by the notation . In 1922, Banach [1] proved that any self contraction map of a closed subset W of a Banach space has a unique fixed point. Later, the Banach result [1] was extended by Caccioppoli [2] in complete metric spaces. In 1965, Browder [3] and Gohde [4] proved that any self non-expansive map of a convex bounded closed subset W of a uniformly convex Banach space U always admits a fixed point. The Browder-Gohde result was proved by Kirk [5] in the context of reflexive Banach spaces. We know that the class of non-expansive maps is important as an application point of view. Thus, it is very natural to consider larger classes of non-expansive maps. One of the larger class of non-expansive maps was introduced by Suzuki [6] in 2008. A selfmap T on a subset W of a Banach space is said to be Suzuki map (or said to satisfy -condition), if for each pair of elements , it follows that
Suzuki also proved that, if a map T satisfies -condition, then for all , holds.
Inspired by Suzuki -condition, Garcia-Falset et al. [7] introduced -condition, as follows: a selfmap T on a subset W of a Banach space is said be Garcia-Falset map (or said to satisfy -condition), if for each pair of elements , there is some real constant , such that
We see that any map T with -condition satisfies -condition with real constant . Nevertheless, an example in the Section 4 shows that there exists maps in the class of Garcia-Falset maps which does not belong to the class of Suzuki maps. Hence, the class of Garica-Falset maps properly includes the class of Suzuki maps. Garcia-Falset et al. [7] also proved some existence theorems of fixed points for maps satisfying -condition. Recently, Usurelu et al. [8] studied some fixed point results for this class of maps and using an example, they studied the visualization of convergence behaviors of some iterative processes. In this paper, we use the three-step iterative process, which is different from the iterative process used in [8] for approximating fixed points of maps of this class. We also present a new example of maps satisfying -condition, and prove that its under the consideration three-step iterative process is more efficient than the other well-known three-step iterative processes. In the last section, we shall apply our results for finding solutions of split feasibility problems.
However, once the existence of fixed point for an operator is established, then the finding of this fixed point is not easy work. One of the simplest iterative method for finding fixed points is the Picard iterative method, which is, . The Banach–Caccioppoli result states that the unique fixed point of contractions can be obtained by using the Picard iterative method. Nevertheless, the Picard iterative method does not always work properly in the finding of fixed points of non-expansive maps. For finding fixed points of non-expansive maps and to obtain relatively better convergence speed, one deals with the different iterative methods, e.g., Mann [9], Ishikawa [10], Agarwal [11], Noor [12], Abbas [13], and others. Among the other things, Thakur et al. [14] introduced the following three-step iterative process for finding fixed points of non-expansive maps in Banach spaces, as follows:
where .
In [14], Thakur et al. proved some important strong and weak convergence theorems of the iterative process (2) for the class of non-expansive maps in the context of uniformly convex Banach spaces. Recently in 2020, Maniu [15] extended the results of Thakur et al. [14] to the setting of Suzuki maps. The purpose of this research is to extend the results of Maniu [15] to the more general setting of Garcia–Falset maps. We also study the rate of convergence of the iterative process (2) with the some well-known three-step iterative processes in the setting of Garcia-Falset maps, under different initial points and set of parameters. At the end of the paper, we shall apply our results to find the solution of split feasibility problems.
2. Preliminaries
In this section, we shall deal with some basic definitions and early results. Let W be any nonempty subset of a Banach space U. Fix and assume that is bounded. Define by
We denote the asymptotic radius of with respect to W by and define, as follows:
We denote the asymptotic center of with respect to W by and define, as follows:
The asymptotic center of with respect to W is nonempty and convex whenever W is convex weakly compact, (see, e.g., [16,17] and others). One of the well known property of the set is the singletoness property in the frame work of uniformly convex Banach spaces [18].
Recall that a Banach space U is said to have Opial’s property [19], if, for any weakly convergent sequence in U with a weak limit , follows the following strict inequality
The following result shows that the class of Suzuki maps is a sub-class of Garcia–Falset maps.
Lemma 1.
[7] Let W be a nonempty subset of a Banach space and let satisfies -condition. Subsequently, T satisfies -condition with .
Lemma 2.
[7] Let W be a nonempty subset of a Banach space and let satisfies -condition. Subsequently, for all and , we have .
Lemma 3.
[7] Let T be a selfmap on a subset W of a Banach space having Opial property. Let T satisfy the -condition. If is weakly convergent to g and , then .
The following characterization is due to Schu [20].
Lemma 4.
Let U be a uniformly convex Banach space, for every natural number and be some real constant. If and are any two sequences in U, such that , and , then .
3. Convergence Results in Banach Spaces
This section contains some weak and strong convergence results of the iterative process (2) for operators satisfying -condition. Throughout the section, U will stand for uniformly convex Banach space.
Lemma 5.
Let W be a nonempty convex closed subset of U and be a map satisfying -condition with . If is generated by (2), then exists for every .
Proof.
Let . By Lemma 2, we have
and
While using the above inequilities, we have
Thus, is bounded and non-increasing, which implies that exists for each . □
Now, we establish the following result which will be used throughout in the upcoming theorems.
Theorem 1.
Let W be a nonempty closed convex subset of U and let be a map satisfying -condition. Let be the sequence defined by (2). Subsequently, if and only if is bounded and .
Proof.
Let be bounded and . Let . We shall prove that . Since T satisfies -condition, we have
It follows that . Since is singleton set, we have . Hence, .
Conversely, we assume that and . We shall prove that is bounded and . By Lemma 5, exists and is bounded. Put
From the proof of Lemma 5, it follows that
By Lemma 2, we have
Again, from the proof of Lemma 5,
It follows that
Accordingly, we can get .
From (7), we have
Applying Lemma 4, we obtain
□
Using compactness of the domain W, we establish the following strong convergence of generated by (2) for maps satisfying -condition.
Theorem 2.
Let W be a nonempty convex compact subset of U and let T and be as in Theorem 1 and . Subsequently, converges strongly to a fixed point of T.
Proof.
By compactness of W we can construct a subsequence of such that , for some . Because the map T satisfies -condition, one can find some real constant , such that
In the view of Theorem 1, . Now, using and , we have from (8), . Now, the uniqueness of limits in Banach space follows that . Hence, u is the fixed point of T. By Lemma 5, exists. Hence, u is the strong limit of . □
Theorem 3.
Let W be a nonempty closed convex subset of U and let T and be as in Theorem 1. If and . Subsequently, converges strongly to a fixed point of T.
Proof.
The proof is elementary and, hence, omitted. □
The next theorem requires condition I of Sentor and Dotson [21]. The detail definition is given below.
Definition 1.
[21] Let W be a nonempty subset of U. A selfmap T of W is said to satisfy condition I if there is a nondecreasing function ξ with the properties if and only if , for every and for each .
Theorem 4.
Let W be a nonempty closed convex subset of U and let T and be as in Theorem 1 and . If T satisfies condition I, then converges strongly to a fixed point of T.
Proof.
From Theorem 1, it follows that
From the definition of condition I, we have
From (9), we get
The function is non-decreasing and satisfy , for every . Hence
By Theorem 3, we conclude that T converges to some fixed point of T. □
Using Opial’s property, we obtain the weak convergence of for maps with -condition.
Theorem 5.
Let W a nonempty closed convex subset of U having Opial property and let T and be as in Theorem 1 and . Subsequently, converges weakly to a fixed point of T.
Proof.
By Theorem 1, the sequence is bounded and . U is reflexive because U is uniform convex. Now, by reflexivity of U, we can construct a weakly convergent subsequence of with some weak limit . By Lemma 3, we conclude that . We claim that converges weakly to . Assume that is not the weak limit of . Accordingly, we choose another weakly convergent subsequence of with some weak limit and assume that . Again, by Lemma 3, . Using Lemma 5 and Opial condition, we have
This is a contradiction. Hence is the weak limit of and fixed point of T. □
4. Numerical Example and Rate of Convergence
Example 1.
Define a selfmap T on as follows:
First, we are going to show that T belongs to the class of Garcia–Falset maps, that is, we shall show that for each pair of elements and some real constant . Fix and consider the following cases.
(i):For , we have
(ii):For , we have
(iii):For and , we have
From the above cases, one can conclude that T belongs to the class of Garcia–Falset maps. Next, we show that T does not belong to the class of Suzuki maps. We select and . Susbequently, , but . For all , let and and . Table 1 shows that three-step Thakur iteration process [14] converges faster to the fixed point as compared three-step Abbas [13] and three-step Noor [12] iterative processes.
Table 1.
Strong convergence of three-step iterative processes while using T given in Example 1.
In Example 1, we set different values for parameters , and and set stopping criterion , where the element is a unique fixed point of T. The influence of initial guess and parameter for the three-step Thakur [14], three-step Abbas [13], and three-step Noor [12] iterative processes can be seen in the Table 2, Table 3 and Table 4.
Table 2.
When , and .
Table 3.
When , and .
Table 4.
When , and .
5. Application
In this section, we are interested in finding of the solution of a split feasibility problem (in short SFP) by using the three-step iterative method (2). To do this, we assume that and are any two real Hilbert spaces, and be convex and closed. Assume that be a linear and bounded. Subsequently, the SFP mathematically described as finding an element , such that
Next we assume that the solution set associated with the SFP (10) is nonempty and let
We see that the set is nonempty convex as well as closed. Censor and Elfving [22] solved the class of inverse problems with the help of SFP. In the year 2002, Byrne [23] proposed the remarkable -algorithm for solving the SFP. If , and represent the projections onto C and Q respectively and is the adjoint of L, then the sequence of -algorithm is generated iteratively, as follows:
The following facts are in [24].
Lemma 6.
If , for , then T is non-expansive.
By assumption, the set that is associated with a SFP is nonempty, one can see that the element is the solution of SFP if and only if it solves the following fixed point equation:
Hence, the solution set coincides with the fixed point set of the operator T, that is, . For details, one can refer [25,26].
Now, we present our main results.
Theorem 6.
Proof.
By Lemma 6, the operator T is non-expansive. In the view of Lemma 1, T is Garcia–Falset operator. The conclusions follows from Theorem 5. □
Theorem 7.
Proof.
Proof follows from Theorem 3. □
6. Conclusions
The three-step Thakur [14] iterative process converges faster than three-step Abbas [13] and three-step Noor [12] iterative process, respectively, for the example under consideration as shown in the Table 1, Table 2 and Table 3. The class of Garcia-Falset maps is wider than the class of Suzuki maps, as shown in the Example 1. Hence, our results update the results of Maniu [15] from the setting of Suzuki maps to the general setting of Garcia-Falset maps. We have also applied our results for finding solutions of split feasibility problems. Because our iterative process converges faster than Abbas and Noor iterations and the class of Garcia–Falset maps is more general than the class of non-expansive and Suzuki maps, so our results improve and extend the corresponding results in [6,7,12,13,14,15].
Author Contributions
K.U., J.A. and M.d.l.S. contributed equally in writing this article. All authors have read and agreed to the published version of the manuscript.
Funding
This research was funded by Basque Government Grant IT1207-1.
Acknowledgments
The authors are grateful to the Spanish Government for Grant RTI2018-094336-B-I00 (MCIU/AEI/FEDER, UE) and to the Basque Government for Grant IT1207-19.
Conflicts of Interest
The authors declare no conflict of interest.
References
- Banach, S. Sur les operations dans les ensembles abstraits et leur application aux equations integrales. Fund. Math. 1922, 3, 133–181. [Google Scholar] [CrossRef]
- Caccioppoli, R. Un teorema generale sull’ esistenza di elementi uniti in una transformazione funzionale. Rend. Accad. Lincei 1930, 11, 794–799. [Google Scholar]
- Browder, F.E. Nonexpansive nonlinear operators in a Banach space. Proc. Natl. Acad. Sci. USA 1965, 54, 1041–1044. [Google Scholar] [CrossRef]
- Gohde, D. Zum Prinzip der Kontraktiven Abbildung. Math. Nachr. 1965, 30, 251–258. [Google Scholar] [CrossRef]
- Kirk, W.A. A fixed point theorem for mappings which do not increase distance. Am. Math. Mon. 1965, 72, 1004–1006. [Google Scholar] [CrossRef]
- Suzuki, T. Fixed point theorems and convergence theorems for some generalized non-expansive mapping. J. Math. Anal. Appl. 2008, 340, 1088–1095. [Google Scholar] [CrossRef]
- Garcia-Falset, J.; Llorens-Fuster, E.; Suzuki, T. Fixed point theory for a class of generalized nonexpansive mappings. J. Math. Anal. Appl. 2011, 375, 185–195. [Google Scholar] [CrossRef]
- Usurelu, G.I.; Bejenaru, A.; Postolache, M. Operators with property (E) as concerns numerical anaysis and visualization. Numer. Func. Anal. Optim. 2020. [Google Scholar] [CrossRef]
- Mann, W.R. Mean value methods in iteration. Proc. Am. Math. Soc. 1953, 4, 506–510. [Google Scholar] [CrossRef]
- Ishikawa, S. Fixed points by a new iteration method. Proc. Am. Math. Soc. 1974, 44, 147–150. [Google Scholar] [CrossRef]
- Agarwal, R.P.; O’Regon, D.; Sahu, D.R. Iterative construction of fixed points of nearly asymtotically non-expansive mappings. J. Nonlinear Convex Anal. 2007, 8, 61–79. [Google Scholar]
- Noor, M.A. New approximation schemes for general variational inequalities. J. Math. Anal. Appl. 2000, 251, 217–229. [Google Scholar] [CrossRef]
- Abbas, M.; Nazir, T. A new faster iteration process applied to constrained minimization and feasibility problems. Math. Vesnik 2014, 66, 223–234. [Google Scholar]
- Thakur, B.S.; Thakur, D.; Postolache, M. New iteration scheme for numerical reckoning fixed points of nonexpansive mappings. J. Inequal. Appl. 2014, 2014, 328. [Google Scholar] [CrossRef]
- Maniu, G. On a three-step iteration process for Suzuki mappings with qualitative study. Numer. Funct. Anal. Optim. 2020. [Google Scholar] [CrossRef]
- Agarwal, R.P.; O’Regan, D.; Sahu, D.R. Fixed Point Theory for Lipschitzian-Type Mappings with Applications Series; Topological Fixed Point Theory and Its Applications; Springer: New York, NY, USA, 2009; Volume 6. [Google Scholar]
- Takahashi, W. Nonlinear Functional Analysis; Yokohoma Publishers: Yokohoma, Japan, 2000. [Google Scholar]
- Clarkson, J.A. Uniformly convex spaces. Trans. Am. Math. Soc. 1936, 40, 396–414. [Google Scholar] [CrossRef]
- Opial, Z. Weak and strong convergence of the sequence of successive approximations for non-expansive mappings. Bull. Am. Math. Soc. 1967, 73, 591–597. [Google Scholar] [CrossRef]
- Schu, J. Weak and strong convergence to fixed points of asymptotically non-expansive mappings. Bull. Austral. Math. Soc. 1991, 43, 153–159. [Google Scholar] [CrossRef]
- Senter, H.F.; Dotson, W.G. Approximating fixed points of non-expansive mappings. Proc. Am. Math. Soc. 1974, 44, 375–380. [Google Scholar] [CrossRef]
- Censor, Y.; Elfving, T. A multiprojection algorithm using Bregman projections in a product space. Numer. Algor. 1994, 8, 221–239. [Google Scholar] [CrossRef]
- Byrne, C. Iterative oblique projection onto convex sets and the split feasibility problem. Inverse Prob. 2002, 18, 411–453. [Google Scholar] [CrossRef]
- Feng, M.; Shi, L.; Chen, R. A new three-step iterative algorithm for solving the split feasibility problem. Univ. Politeh. Buch. Ser. A 2019, 81, 93–102. [Google Scholar]
- Xu, H.K. A variable Krasnoselskii-Mann algorithm and the multiple-set split feasibility problem. Inverse Probl. 2006, 22, 2021–2034. [Google Scholar] [CrossRef]
- Xu, H.K. Iterative methods for the split feasibility problem in infinite-dimensional Hilbert spaces. Inverse Probl. 2010, 26, 105018. [Google Scholar] [CrossRef]
© 2020 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).