1. Introduction
Throughout this paper, let
and
be the sets of positive integers and real numbers, respectively. When
C is a subset of a Banach space
a mapping
is called nonexpansive if
for every
The set of fixed points of
T is denoted by
; that is,
A mapping
is said to be quasi-nonexpansive [
1] if
and
for every
and for every
. It is easy to see that nonexpansive mappings with fixed points are included in the class of quasi-nonexpansive mappings.
Fixed point theory can solve not only problems in sciences and economics but also real-world problems (see [
2,
3,
4,
5,
6,
7] for examples). Specifically, the theory of nonexpansive mappings plays a crucial role, because it can be applied to plenty of problems, such as convex minimization problems, optimization problems, equilibrium problems and problems of proving the existence of solutions to integral and differential equations. Consequently, many generalized nonexpansive mappings have been studied in a variety of directions. In this work, we focus on a generalized mapping defined by Hardy and Rogers [
8] as: a mapping
is called generalized nonexpansive if
for every
where
and
are nonnegative constants such that
. It was also mentioned that condition (1) is equivalent with
for every
where
b and
c are nonnegative constants such that
By letting
and
, we can see that every nonexpansive mapping is a generalized nonexpansive mapping. It is well-known from [
9] that every generalized nonexpansive mapping with a fixed point is a quasi-nonexpansive mapping.
In 1953, Mann [
10] introduced the following iterative scheme to approximate fixed points of a nonexpansive mapping
T:
where
is a sequence in
.
It is also known that, in general, Mann iteration does not necessarily converge to fixed points of nonexpansive mappings. Thus, in 1974, Ishikawa iteration [
11] was introduced to approximate fixed points of such mappings as:
where
and
are sequences in
.
In 1998, Xu [
12] introduced the following iterative scheme, called Mann iteration with error terms, for nonexpansive mappings:
where
,
and
are sequences in
such that
and
is a bounded sequence in
C. This scheme reduces to Mann iteration if
.
When studying two mappings we recall that is a common fixed point of and if The set of all common fixed points of and is denoted by . Moreover,
To study convergence theorems for common fixed points of two mappings, Das and Debata [
13] and Takahashi and Tamura [
14] constructed the following iterative scheme:
where
and
are sequences in
. If
, then the scheme reduces to an Ishikawa iterative scheme.
Lui et al. [
15] introduced the following iterative process to prove weak and strong convergence theorems of common fixed points for a pair of nonexpansive and asymptytotically nonexpansive mappings:
where
and
are sequences in
.
Recently, Ali and Ali [
16] proved a convergence theorem for common fixed points of the Mann iteration for two generalized nonexpansive mappings in uniformly convex Banach spaces. They defined a sequence
as follows:
where
,
and
are sequences in
such that
.
Another concept that relates to fixed points is the concept of attractive points, which was first introduced in Hilbert spaces by Takahashi and Takeuchi [
17]. Let
H be a Hilbert space, and let
be a mapping, where
C is a nonempty subset of
H. The set of all attractive points of
T is denoted by
; that is,
The authors proved an ergodic convergence theorem to find an attractive point of some nonlinear mappings without assuming convexity of its domain. Moreover, the authors [
17] proved that
relates to
as follows.
Lemma 1. Let C be a nonempty closed convex subset of H, and let T be a mapping from C into itself. If , then .
Lemma 2. Let C be a nonempty subset of H, and let T be a mapping from C into H. Then, is a closed convex subset of H.
Furthermore, we also know the following lemma from Takahashi et al. [
18] for quasi-nonexpansive mappings.
Lemma 3. Let C be a nonempty subset of H, and let T be a quasi-nonexpansive mapping from C into Then, .
In 2018, Khan [
19] extended the concept of attractive points to the case of two mappings in Hilbert spaces. Let
, where
C is a nonempty subset of
The set of all common attractive points for
and
is denoted by
; that is,
Moreover,
The next properties were proven by Khan [
19].
Lemma 4. Let C be a nonempty closed convex subset of H, and let be two mappings. If , then .
Lemma 5. Let C be a nonempty subset of H, and let be two mappings. Then, is a closed convex subset of H.
Lemma 6. Let C be a nonempty subset of H, and let be two quasi-nonexpansive mappings. Then, .
Furthermore, there are many results of common attractive point theorems in a Hilbert space (see [
19,
20,
21], and references therein).
In 2013, Lin and Takahashi [
22] introduced the concept of attractive points of a nonlinear mapping in the Banach spaces setting. In 2015, Zheng [
23] proved convergence theorems for attractive points, defined in (9), of some generalized nonexpansive mappings in uniformly convex Banach spaces. Moreover, there are more studies about attractive points for nonlinear mappings in Banach spaces (see [
22,
23,
24,
25,
26]).
In this paper, motivated by all results mentioned above, we study some basic properties of the set of common attractive points, defined in (10), for two nonlinear mappings in the setting of uniformly convex Banach spaces. Furthermore, we prove strong convergence theorems of common attractive points of the Mann iteration (8) for two generalized nonexpansive mappings in a uniformly convex Banach space without closedness of the domain of such mappings. Using this result, we obtain strong convergence theorems of common fixed points in a uniformly convex Banach space and solve a convex minimization problem in Hilbert spaces. Finally, to support our results, a numerical example is given.
3. Main Results
In this section, we begin with studying some basic properties of common attractive points for two mappings in the framework of uniformly convex Banach spaces as follows:
Lemma 8. Let C be a nonempty, closed and convex subset of a uniformly convex Banach space X, and let be two mappings. If , then . In particular, if then
Proof. Let
; then,
and
; that is,
Since
C is closed and convex, a unique element
exists in
C and
We know that
, so
. Since
we get
Combing with the uniqueness of
x, it follows that
Thus
Similarly, we also obtain
Therefore,
. □
Lemma 9. Let C be a nonempty subset of a Banach space X, and let be two mappings. Then, is a closed subset of X.
Proof. Let
be a sequence converging strongly to some
We shall prove that
Indeed, for all
and
, the following results:
By letting
we obtain
Thus,
, and hence
is closed. □
Lemma 10. Let C be a nonempty subset of a Banach space X, and let be two quasi-nonexpansive mappings. Then,
Proof. Let
. Then,
and
. That is
In particular, by choosing
, we get
It follows that
and
. That is
.
Conversely, let Since and are quasi-nonexpansive mappings, we have
Then,
It follows that
Since
, we get
.
Thus, □
Next, we prove our main results, using the iterative scheme (8) for two generalized nonexpansive mappings in uniformly convex Banach spaces. Before proving the results, we need the following important tools.
Lemma 11. Let C be a nonempty and convex subset of a Banach space X and be two generalized nonexpansive mappings with . Let be a sequence generated by (8):with such that Then, exists for any Proof. Let
be a sequence generated by (8) and
Then,
It follows that
Consider
This shows that the sequence
is nonincreasing and bounded below for all
Therefore,
exists. □
Lemma 12. Let C be a nonempty and convex subset of a uniformly convex Banach space X and be two generalized nonexpansive mappings with Let be a sequence generated by (8):with such that and Then, is bounded, and Proof. Suppose that
and
By using Lemma 11, we have that
exists for all
Therefore,
is bounded, and so is
. Let
We show that
and
Since , we obtain that
Therefore
and
According to (11), we derive
By using (12), we have
To apply Lemma 7, we choose
Since
, we get
Hence, there exist
such that
for all
. We have from (13) and (15) that
and
Furthermore, from (14), we have
Therefore, the sequences
and
satisfy the assumptions of Lemma 7, which imply that
Consider
We can conclude that
Since
for all
, we have
Next, we will show that
According to (11), we have
By using (13), we have
Applying Lemma 7 again, we choose
Since
, we get
Hence, there exist
such that
for all
. We have from (12) and (19) that
and
Furthermore, from (18), we have
Therefore, we can apply Lemma 7 to get
Consider
we can conclude that
Since
for all
, we get
Finally, we will show that
According to (11), we can derive
By using (12) and (13), we have
To apply Lemma 7, we choose
We have from (11) and (23) that
and
Furthermore, from (22), we have
Therefore, we can apply Lemma 7 to get
Consider
We can conclude that
Since
, we get
Note that
and
By (17), (21), (25) and
in (26) and (27), we get
as desired. □
Next, we establish a strong convergence theorem of common attractive points for two generalized nonexpansive mappings, in the sense of Hardy and Roger [
8] defined in (2), in a uniformly convex Banach space without assuming the closedness of the domain of such mappings.
Theorem 1. Let C be a nonempty and convex subset of a uniformly convex Banach space X and be two generalized nonexpansive mappings with Let be a sequence generated by (8):with such that and Then, converges strongly to if and only if or Proof. Suppose that
Then, for each
there exists
such that
for all
Therefore, we obtain
It follows that
and hence
Conversely, if
, then
Assume that
This means that
contains a subsequence
such that
By Lemma 11, we have that
exists for all
Then,
It follows that
That is,
Next, we shall show that
is a Cauchy sequence. By Lemma 11, we have
for all
In fact, for any
without of generality, we may set
. Then,
Consider
Since
u is arbitrary, we may take infimum all over
on both sides to get
From
we get
This means that
is a Cauchy sequence in a uniformly convex Banach space
Thus, there exists
such that
By Lemma 12, we have
Thus,
Next, we show that
Since
is generalized nonexpansive mapping, we can use (1) to get that there exist nonnegative constants
with
such that
Thus
Taking limit on both sides, we get
Hence,
Since
we have
Thus,
for all
This means that
Similarly, we have Therefore, □
By applying Theorem 1, we also obtain the following result.
Corollary 1. Let C be a nonempty and convex subset of a uniformly convex Banach space X and be two generalized nonexpansive mappings with Let be a sequence generated by (8) with such that and for all
(1) Suppose that or Then, converges strongly to If C is closed, then converges strongly to
(2) Suppose that converges strongly to the common attractive point of and ; then,
or If C is closed, then or
Proof. Since we have are quasi-nonexpansive mappings. By Lemma 10, we have which implies that, .
(1) Suppose that
Since
we have
Then,
or
By Theorem 1, we get
If
C is closed, then
It follows that
(2) Assume that
By Theorem 1, we get
If
C is closed, then
Since
we have
It follows that
or
□
Next, we aim to apply Corollary 1 to solve a convex minimization problem in Hilbert spaces. The general formulation of the convex minimization problem is defined by
In a Hilbert space H, the solution of problem (28) is usually considered under the following assumptions:
- (i)
g is a lower semicontinuous function and properly convex from H into ;
- (ii)
f is a convex differentiable function from H into , with being ℓ-Lipschitz constant for some —that is, for all
We denote the set of all solutions of (28) by argmin
, and it is well-known that finding a solution of problem (28) is equivalent to finding a zero-solution
such that:
where
is the gradient operator of function
f and
is the subdifferential of function
g; see [
31] for more details. Dealing with fixed point theory, Parikh and Boyd [
32] solved the problem (29) by using the proximal gradient technique; that is, if
solves (29), then
is a fixed point of the proximal operator:
where
is a positive parameter,
and
I is the identity operator.
If we set
prox
and
prox
where
, then
and
are nonexpansive mappings; see [
33,
34,
35] for more details.
We denote argmin. The following result is a consequence of Corollary 1.
Corollary 2. Let g be a lower semicontinuous function and proper convex from a real Hilbert space H into , and let f be a convex differentiable function from H into with being ℓ-Lipschitz constant for some Let be a sequence generated by (8) under the same conditions of parameters as in Corollary 1 with . If or , then converges strongly to an element in argmin.
Proof. Let
and
be the forward–backward operators of
f and
g with respect to
and
, respectively, where
. Then,
prox
and
prox
are nonexpansive mappings which imply generalized nonexpansiveness. By Proposition 26.1 in [
31],
. Using (1) of Corollary 1, we obtain that
converges strongly to an element in argmin
. □
Remark 2. A convex minimization problem (28) can be applied to solving many real world problems, such as image/signal processing, regression and data classification; see [36,37,38]. Hence, the convergence result of Corollary 2 can be applied for solving those important problems. Another condition for strong convergence results was introduced by Senter and Dotson [
39]. A mapping
satisfies condition
if there exists a nondecreasing function
with
and
for every
such that
Chidume and Ali extended above condition to two mappings [
40] as follows: Two mappings
are said to satisfy condition
if there exists a nondecreasing function
with
and
for every
such that
In the following theorem, we obtain a strong convergence theorem for common attractive points of two generalized nonexpansive mappings that satisfy condition
Theorem 2. Let C be a nonempty and convex subset of a uniformly convex Banach space X and be two generalized nonexpansive mappings. Let be a sequence generated by (8):with such that and Suppose that and satisfy condition then, converges strongly to a common attractive point of and Proof. By Lemma 12, we have
Since
and
satisfy condition
, there exists a nondecreasing function
with
and
for all
such that
It follows that
or
In both cases, we get
Since
is a nondecreasing function satisfying
and
for all
, we get
It follows that
By Theorem 1, we conclude that
converges strongly to a common attractive point of
and
□
Corollary 3. Let C be a nonempty and convex subset of a uniformly convex Banach space X and be two generalized nonexpansive mappings. Let be a sequence generated by (8) with such that and for all Suppose that and satisfy condition then, converges strongly to a common attractive point of and If C is closed, then converges strongly to a common fixed point of and
Proof. Since we have are quasi-nonexpansive mappings. By Lemma 10, we have It follows that By Theorem 2, we have If C is closed, then □
We end this section by providing some numerical experiments to illustrate the performance of iteration (8) for supporting our main results.
Example 1. Let with the usual norm and . Suppose are defined byandThen, and are generalized nonexpansive mappings such that but We chose the parameters and initial point Table 1 shows the values of , , and of iteration It is evident from Table 1 that with the errors and Moreover, Figure 1 shows the convergence behavior of the iterative process (8). Next, under control conditions from Theorem 1, we compared the rates of convergence for the sequences generated by (6)–(8), as shown in Table 2. From Table 2, we can see that iteration process (8) performs with a better rate of convergence than iteration processes (6) and (7).