Abstract
The aim of this manuscript is to get the strong convergence theorems of the Moudafi’s viscosity approximation methods for an asymptotically nonexpansive nonself mapping in spaces.
1. Introduction
Let be a metric space. A geodesic path joining to (or, a geodesic from to ) is a mapping g from a closed interval to X such that and
In particular, g is an isometry and . The image of g is said to be a geodesic segment (or metric segment) joining and . When it is unique, this geodesic segment is denoted by . The space is called a geodesic space if every two points of X are joined by a geodesic segment, and X is called a uniquely geodesic segment if there is exactly one geodesic segment joining and for each . A subset is called convex if Y includes every geodesic segment joining any two of its points.
A geodesic triangle is a geodesic metric space that consists of three vertices of Δ (the points ) and the edges of Δ (a geodesic segment between each pair of vertices). A comparison triangle for the geodesic triangle in is a triangle in such that
A comparison triangle for the geodesic triangle always exists (see, [,]).
A geodesic metric space is called a space (this term is due to M. Gromov [] and it is an acronym for E. Cartan, A.D. Aleksandrov and V.A. Toponogov) if all geodesic triangles of appropriate size satisfy the following comparison axiom.
Let Δ be a geodesic triangle in and let be a comparison triangle for Δ. Then Δ is said to satisfy the inequality if for all vertices and all comparison points
Let be points of a space, if is the midpoint of the segment , which we will denote by then the inequality implies
This inequality is called the (CN) inequality ([]).
Remark 1.
A geodesic metric space is a space if and only if it satisfies the (CN) inequality (cf. [], p. 163).
The above (CN) inequality has been extended as
for all [,].
In recent years, spaces have attracted many researchers as they treated a very important role in different directions of geometry and mathematics (see [,,,,]). Complete spaces are often called Hadamard spaces (see []).
It is well known that a normed linear space satisfies the (CN) inequality if and only if it satisfies the parallelogram identity, i.e., it is a pre-Hilbert space []. Hence it is not so unusual to have an inner product-like notion in Hadamard spaces. In [], they introduced the concept of quasilinearization as follows
Let us usually denote a pair by and call it a vector. Then quasilinearization is defined as a mapping by
It is easily seen that
and
for all We say that X satisfies the Cauchy–Schwarz inequality if
Remark 2.
A geodesically connected metric space is a space if and only if it satisfies the Cauchy–Schwarz inequality ([], Corollary 3).
In [], the authors introduced the concept of duality mapping in spaces, by using the concept of quasilinearization, and studied its relation with the subdifferential. Moreover, they proved a characterization of metric projection in spaces as follows.
Theorem 1.
([], Theorem 2.4) Let C be a nonempty convex subset of a complete space Then
for all and .
In 2015, using the concept of quasilinearization, Wangkeeree et al. [] proved the strong convergence theorems of the following Moudafi’s viscosity iterations for an asymptotically nonexpansive mapping T: For given a contraction mapping f defined on C and let be the unique fixed point of the contraction i.e.,
and let be arbitrarily chosen and
They proved the iterative schemes defined by Equations (2) and (3) strongly converge to the same point with , which is the unique solution of the variational inequality
where
On the other hand, Shi et al. [] studied the Δ-convergence of the iteration scheme for asymptotically nonexpansive mappings in spaces.
Let be a metric space and C be a nonempty subset of X. A mapping f defined on C is called a contraction with coefficient if
for all A subset C is called a retract of X if there exists a continuous mapping P from X onto C such that for all . A mapping is said to be a retraction if . Moreover, if a mapping P is a retraction, then for all v in the range of P.
Definition 1.
Let C be a nonempty subset of a metric space . Let be a nonexpansive retraction of X onto C.
- (1)
- A nonself mapping is said to be nonexpansive (cf. []) if
- (2)
- A nonself mapping is said to be asymptotically nonexpansive ([]) if there exists a sequence with such that
Recently, Kim et al. [] and Kim [] presented the existence and Δ-convergence for asymptotically nonexpansive nonself mappings in spaces.
Motivated and inspired by Wangkeeree et al. [], Shi et al. [], Kim et al. [] and Kim [], the aim of this paper is to obtain the strong convergence theorems of the Moudafi’s viscosity approximation methods for an asymptotically nonexpansive nonself mapping in spaces.
Let C be a nonempty closed convex subset of a complete space X. Let be a retraction mapping and be an asymptotically nonexpansive nonself mapping. Given a contraction mapping f defined on C and , let be the unique fixed point of the contraction i.e.,
and let be arbitrarily chosen and
The author proved that the iterative schemes defined by Equations (4) and (5) strongly converge to the same point such that which is the unique solution of the variational inequality
where
2. Preliminaries
Throughout this paper, denotes the set of all positive integers. Let C be a nonempty subset of a metric space . denotes the set of fixed points of T.
We write for the unique point p in the geodesic segment joining from to such that
We also denote by the geodesic segment joining from to , i.e., A subset C of a space is convex if for all .
In the sequel we need the following useful lemmas.
Lemma 1.
([], Proposition 2.2, p. 176) Let X be a space, then the distance function is convex, i.e., given any pair of geodesics and parameterized proportional to arc length, the following inequality holds for all
Lemma 2.
([]) Let X be a space, and . Then
- (i)
- (ii)
Lemma 3.
([]) Let X be a space, and . Then
- (i)
- (ii)
Now, we give the concept of Δ-convergence and its some basic properties.
Kirk and Panyanak [] insisted the concept of Δ-convergence in spaces that was introduced by Lim [] in 1976 is very similar to the weak convergence in a Banach space setting.
Let be a bounded sequence in space X. For , we set
The asymptotic radius of is given by
and the asymptotic center of is the set
It is well known that asymptotic center consists of exactly one point (see, e.g., [], Proposition 7, p. 767) in a complete space.
Definition 2.
([]) A sequence in a complete space X is said to Δ-converge to if x is the unique asymptotic center of for every subsequence of , i.e., In this case one can write
and call x the Δ-limit of .
Remark 3.
In a space, strong convergence in the metric implies Δ-convergence (see, [,]).
For any bounded sequence in a space there exists such that
where
Lemma 4.
([]) Every bounded sequence in a complete space always has a Δ-convergent subsequence.
Now, we shall give the existence of a fixed point for asymptotically nonexpansive nonself mapping in a complete space.
Lemma 5.
([]) Let C be a nonempty closed convex subset of a complete space X and let be an asymptotically nonexpansive nonself mapping with a sequence with Then T has a unique fixed point in C. Moreover, the set is a closed and convex subset of
Before we state the next lemma, we need the following notation
where C is a nonempty closed convex subset that contains the bounded sequence and
Lemma 6.
Let X be a space and C be a nonempty closed convex subset of Let be an asymptotically nonexpansive nonself mapping with a sequence with If
then we have
Proof.
Since we have
Hence
In particular, we have
From Lemma 2-(ii),
Taking m as fixed and on both sides, we have
From the definition of we obtain
which implies
Taking on both sides, from Equation (6), we get
that is
Since is a continuous mapping, we obtain
□
Lemma 7.
([], Theorem 2.6) Let X be a complete space, be a sequence in X and Then Δ-converges to x if and only if
Lemma 8.
([]) Let and be nonnegative sequences such that
with and Then
The following two useful lemmas can be found in [].
Lemma 9.
([]) Let X be a complete space. Then the following inequality holds
Lemma 10.
([]) Let X be a space. For any and let
Then, for all
- (i)
- ,
- (ii)
- and.
3. Main Results
In this section, we study the convergence theorems of Moudafi’s viscosity approximation methods for asymptotically nonexpansive nonself mapping in a complete space.
Theorem 2.
Let C be a nonempty closed convex subset of a complete space X and let be an asymptotically nonexpansive nonself mapping with a sequence with Let f be a contraction mapping defined on C with coefficient Let be a real valued sequence with If it satisfies the following conditions
- (i)
- ,
- (ii)
- and as
then the following statements hold.
- (1)
- There exists such that
- (2)
- The sequence converges strongly to as such thatwhich is equivalent to the following variational inequality:
Proof. I.
For each integer we shall define a mapping by
First, we show that is a contraction mapping. For any by Lemma 1
From the condition (i), we have So is a contraction mapping. Thus there exists a unique such that
that is
II. Next, we show that is bounded. From Lemma 5, there exists which is a fixed point of T with
Taking mapping on the both sides, we have
Continuing this process, we obtain
For any we have
Then
Hence is bounded. So and are bounded. For and Equation (10),
where It follows that the sequence is bounded.
III. We shall claim that
III-1. From Equation (9) and Lemma 2-(i), we get
On the other hand, since
we obtain
Since from Equations (11) and (12), we have
III-2. By condition for any there exists a sufficiently large and we have
From condition (i), we know
and from Equation (14), we have
Thus
III-3. Therefore, from Equations (13) and (15), we get
IV. Finally, we will show that contains a subsequence converge strongly to such that
which is equivalent to the following variational inequality
IV-1. Since is bounded, there exists a subsequence of which Δ-converges to By Lemmas 4 and 6, we may assume that Δ-converges to a point and It follows from Lemma 10-(i) and Equations (1) and (10) that
Since
combining Equation (16), it follows that
Hence
Since Δ-converges to by Lemma 7, we have
It follows from Equation (17) that converges strongly to
IV-2. Next, we will show that solves the variational inequality of Equation (8). Applying Lemma 2-(ii), for any
Thus, we have
so
where Since and by Equation (13), we have
From the conditions continuity of the metric d and Equation (19), we have Equation (18) as follows
Therefore
that is, solves Equation (8).
IV-3. Finally, we will show the uniqueness of the solution of the variational inequality of Equation (8). Assume there exists a subsequence of which Δ-converges to by the same argument. We know that and solves the variational inequality of Equation (8), i.e.,
and
From Equations (20) and (21), we can obtain
Since we have
so
Hence converges strongly to which solves the variational inequality of Equation (8). □
Now, we explain a strong convergence theorem for an asymptotically nonexpansive nonself mapping.
Theorem 3.
Let C be a nonempty closed convex subset of a complete space X and let be an asymptotically nonexpansive nonself mapping with a sequence with Let f be a contraction mapping defined on C with coefficient For the arbitrarily given initial point let be a sequence generated by
where satisfies the following conditions:
- (i)
- (ii)
Then the sequence converges strongly to as such that
which is equivalent to the variational inequality of Equation (8).
Proof. I.
First, we show that the sequence is bounded. From Lemma 5, there exists which is a fixed point of T with
Since for any there exists a sufficiently large we have
For any from Equations (13) and (22), we get
for Similarly, we can get
Continuing this process, we obtain that
Thus, the sequence is bounded. So and are also bounded. From the fact that is bounded and from Lemmas 4 and 6, there exists a subsequence of which Δ-converges to
II. Next, we prove that as For any we set
It follows from Lemmas 9 and 10 that
which implies
Now, taking
by Lemma 8, we can conclude that
III. Finally, from the proof of IV-2 and IV-3 in Theorem 2, we can easily show that is the unique solution satisfying the variational inequality of Equation (8). This completes the proof of Theorem 3. □
If a mapping is a self mapping, then P becomes the identity mapping. Thus we have the following corollaries (cf. [,]).
Corollary 1.
Let C be a nonempty closed convex subset of a complete space X and let be an asymptotically nonexpansive mapping with a sequence with Let f be a contraction defined on C with coefficient Let be a sequence of real numbers with If it satisfies the following conditions
- (i)
- (ii)
- and as
then the following statements hold.
- (1)
- There exists such that
- (2)
- The sequence converges strongly to as such that
Corollary 2.
Let C be a nonempty closed convex subset of a complete space X and let be an asymptotically nonexpansive mapping with a sequence with Let f be a contraction defined on C with coefficient For the arbitrary initial point let be generated by
where satisfies the following conditions:
- (i)
- (ii)
Then the sequence converges strongly to as such that
which is equivalent to the variational inequality of Equation (8).
4. Conclusions
Theorems 2 and 3 generalize and improve the results which are discussed in Wangkeeree et al. [], Shi et al. [], Kim et al. [], Kim [] and others.
The strong convergence theorems of the Moudafi’s viscosity approximation methods apply various classes of variational inequalities and optimization problems, its results proved in this paper continue to hold for these problems. It is expected that this class will inspire and motivate further research in this area.
Funding
This research was supported by Basic Science Research Program through the National Research Foundation of Korea(NRF) funded by the Ministry of Education(2019R1I1A3A01060344).
Acknowledgments
The author would like to thank the referees for their valuable comments and suggestions which improved the presentation of this paper.
Conflicts of Interest
The authors declare no conflict of interest.
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