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, [
1,
2]).
A geodesic metric space is called a
space (this term is due to M. Gromov [
3] 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 ([
4]).
Remark 1. A geodesic metric space is a space if and only if it satisfies the (CN) inequality (cf. [1], p. 163). The above (CN) inequality has been extended as
for all
[
5,
6].
In recent years,
spaces have attracted many researchers as they treated a very important role in different directions of geometry and mathematics (see [
1,
7,
8,
9,
10]). Complete
spaces are often called Hadamard spaces (see [
10]).
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 [
1]. Hence it is not so unusual to have an inner product-like notion in Hadamard spaces. In [
11], 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 ([
11],
Corollary 3).
In [
12], 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. ([
12], Theorem 2.4)
Let C be a nonempty convex subset of a complete space Thenfor all and .
In 2015, using the concept of quasilinearization, Wangkeeree et al. [
13] 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. [
14] 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. [15]) iffor all . - (2)
A nonself mapping is said to be asymptotically nonexpansive ([16]) if there exists a sequence with such thatfor all .
Recently, Kim et al. [
17] and Kim [
18] presented the existence and Δ-convergence for asymptotically nonexpansive nonself mappings in
spaces.
Motivated and inspired by Wangkeeree et al. [
13], Shi et al. [
14], Kim et al. [
17] and Kim [
18], 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. ([
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. ([
6])
Let X be a space, and . Then- (i)
- (ii)
Lemma 3. ([
19])
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 [
20] insisted the concept of Δ-convergence in
spaces that was introduced by Lim [
21] 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., [
22], Proposition 7, p. 767) in a complete
space.
Definition 2. ([
20])
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 writeand call x the Δ-limit of . Remark 3. In a space, strong convergence in the metric implies Δ-convergence (see, [23,24]). For any bounded sequence
in a
space
there exists
such that
where
Lemma 4. ([
20])
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. ([
18])
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 Ifthen we have Proof. Since
we have
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. ([
23], 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. ([
25])
Let and be nonnegative sequences such thatwith and Then The following two useful lemmas can be found in [
13].
Lemma 9. ([
13])
Let X be a complete space. Then the following inequality holds Lemma 10. ([
13])
Let X be a space. For any and letThen, 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 that which 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
Hence
is bounded. So
and
are bounded. For
and Equation (
10),
where
It follows that the sequence
is bounded.
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 Equation (
9) and Lemma 3, we have
where
This implies that
From condition (i), we know
and from Equation (14), we have
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
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 bywhere 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. [
13,
26]).
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 thatwhich is equivalent to the following variational inequality:
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 bywhere 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).