1. Introduction
Fixed point theory has no doubt proven to be a rich and complex field, always giving rise to several extensions and applicable results. Nowadays, it has become incredibly convincing that this domain of study is far from reaching its end as regards procreating new ideas or connecting existing ones.
Let H be a real Hilbert space with the inner product and the induced norm . Let be closed and convex.
Definition 1 ([
1])
. A nonlinear mapping is called β-enriched Lipschitzian if there exist and such that the following inequalityIt is worthy to mention that every Lipschitz mapping is 0-enriched Lipschitzian with . However, if are chosen such that , then inequality (1) becomes Set . Then, the last inequality becomes Here, the average operator is L-Lipschitzian.
Remark 1. The class of β-enriched Lipschitz mappings is between the class of Lipschitz mappings and the class of -enriched Lipschitz mappings studied in [
1]
. (Recall that a nonlinear mapping is called a -enriched Lipschitz mapping (or -enriched Lipschitzian) if for all , there exist and a continuous nondecreasing function , with , such that .) If , then we recover inequality (1); if then inequality (1) reduces to an important class of nonlinear mappings called enriched contraction mappings, and if in inequality (1), we obtain the class of β-enriched nonexpansive mappings. (Recall that a nonlinear mapping is called a β-enriched nonexpansive mapping if for all , there exists such that . Every nonexpansive mapping is 0-enriched nonexpansive). These two classes of mappings were introduced in [
2,
3]
by Berinde. He proved that if K is a nonempty, bounded, closed and convex subset of a real Hilbert space H and is a β-enriched nonexpansive and demicompact mapping, then Γ
has a fixed point in K. Example 1. Consider denote the 2-dimensional Euclidean plane. Define by Then, for all and , we have Hence, Γ is a 1-enriched Lipschitz mapping.
If a mapping is
-enriched, strictly pseudocontractive (for short,
-ESPCM), then for all
and
such that the following inequality holds:
For some special cases in which
in one part and
in another part, inequality (
4) reduces to two classes of mappings known as strictly pseudocontractive mappings (recall that a nonlinear mapping
is called a strictly pseudocontractive mapping if for all
such that
) and
-enriched nonexpansive mappings, respectively. Hence, the class of
-ESPCM is larger than the class of
-enriched nonexpansive mappings and the class of
k-strictly pseudocontractive mappings; see [
1,
4,
5,
6,
7,
8,
9,
10,
11,
12,
13,
14,
15] for more details.
Now, by substituting
into inequality (
4) and simplifying, we obtain
where
, and
is as defined in inequality (
3). Note that the average operator
is
k-strictly pseudocontractive.
In [
10], Berinde introduced the concept of
-ESPCM and showed that this class of mappings is more general than the class of
k-strictly pseudocontractive mappings studied in [
12,
16]. It is of interest to note that the Lipschitz properties enjoyed by the class of strictly pseudocontractive mappings (due to the structure of their definition) are far from the reach of Lipschitz pseudocontractive mappings.
Example 2. Let be equipped with the Euclidean norm, and we have the following: Define the mapping by It is not difficult to see that X is a uniformly convex Banach space and that C is a bounded, closed and convex subset of X. Let and . It is shown in [
1]
that Γ
is a -enriched strictly pseudocontractive mapping and Remark 2. If, we take in inequality (4), then we obtain a class of nonlinear mappings called β-enriched pseudocontraction mappings. Thus, the class of -ESPCM is smaller than the class of β-enriched pseudocontractive mappings. Let
and
be two Hilbert spaces and
be nonempty, closed and convex subsets of
and
, respectively. Consider two nonlinear mappings:
and
. The split feasibility problem (for short, SFP) is given as follows: find a point
such that
where
is a bounded operator. If the solution of (
6) exists, then it can be shown that
solves (
6) if and only if it solves the following fixed point equation:
where
and
are projections of
, respectively,
is a positive constant, and
represents the adjoint of
B. When
W and
V in (
6) (where
and
are closed and convex) are sets of fixed points of nonlinear mappings
and
, then the split feasibility problem is also called the common fixed point problem (for short, SCFPP) (see, [
17,
18]); that is, given
m nonlinear operators
and
n nonlinear operators
, the SCFPP for finitely many operators, which is desirable in practical situations, is to find a point
In a special case for which
and
, the SCFPP reduces to the multiple-set split feasibility problem (for short, MSSFP): that is, to find
such that
, where
and
are nonempty, closed and convex subsets of
and
, respectively. We shall denote the solution to problem (
8) in this special case by
.
In the setup of a real Hilbert space, problems (
6) and (
8) have been studied extensively by different authors; see, for example, [
17,
18,
19,
20,
21,
22,
23,
24,
25,
26,
27,
28].
In [
22], Censor and Segal introduced the following algorithm:
which solves problem (
6) for directed operators.
Recently, Chang et al. [
28] introduced and studied the following fixed point algorithm: for an arbitrary
, let
be a sequence generated iteratively as follows:
where
is a countably infinite family of real sequences in
;
,
is a constant;
is an infinite family of
-strictly pseudononspreading mappings;
is a finite family of
-strictly pseudononspreading mappings; and
. Using (
10), they proved weak and strong convergence theorems.
Subsequently, different researchers have extended and generalized (
9) in different directions. Alsulami et al. [
19] proved some strong convergence theorems for finding a solution of problem (
6) in Banach spaces; in [
23], (
9) was extended to the case of quasi-nonexpansive mappings, which was later extended to the case of demicontractive mappings in [
24,
25]; Takahashi generalized the results in [
22] to Banach spaces. For more works relating to split feasibility problems, the interested reader is referred to [
20,
25,
26,
27] and the references therein.
Symmetry is an important concept used in Hilbert spaces and plays a crucial role in the structure of a complete inner product space. Also, the concept of symmetry, which includes symmetric operators, has been investigated in real Hilbert spaces. In this paper, inspired and motivated by the results in [
29,
30], we propose a horizontal iteration technique for solving the multiple-set split feasibility problem in the more general cases of a pair of finite families of
-enriched strictly pseudocontractive mappings in an infinite-dimensional Hilbert space and establish strong and weak convergence theorems for approximating a common solution for the aforementioned problem. From recent studies, it has been observed (see, for instance, [
31]) that iteration techniques involving more than one auxiliary mapping are more robust against certain numerical errors than the ones in which only one auxiliary mapping is used. Consequently, our method is more efficient in application than some of the methods in related works. Finally, it is worth mentioning that the technique presented in this paper does not require a ’sum condition’, which has been the case for most of the iterative methods in this direction. Concerning application, we consider the algorithm for hierarchical variational inequality problems through slightly modifying our iterative scheme. Our results improve and generalize several results in the current literature.
The rest of the manuscript is organized as follows:
Section 2 is devoted to some preliminary results that will be required to establish our main results; Theorems 1 and 2 will be the subjects of
Section 3,
Section 4 and
Section 5 and will conclude the paper.
2. Preliminary
In the following, we first recall some notations, definitions and known results that are currently in the literature, which will be required to prove the main results of this present paper.
Assumption 1. Throughout the remaining sections, H, K, and shall represent a real Hilbert space, a nonempty closed and convex subset of H, the set of natural numbers, the set of real numbers, strong convergence, weak convergence and a bounded linear operator, respectively.
Also, for the sake of convenience, we restate the following concepts and results.
Let
H and
K be defined as in Assumption 1. For every
, there exists a unique nearest point in
K, represented as
, such that
and it has been established that for every
Definition 2 ([
32])
. Let Z be a real Banach space and be a self-mapping on Z. Then, the following is considered:- (i)
is said to be demiclosed at zero if for any sequence with , we obtain
- (ii)
Γ is called semicompact if for any bounded sequence with there exists a subsequence of such that
Definition 3 ([
32])
. Let Z be a uniformly convex Banach space and K a closed and convex subset of Z. A mapping is called asymptotically regular on K if for each , Definition 4 ([
32])
. Let Z be a uniformly convex Banach space and C a closed and convex subset of E. A mapping is called demicompact if it has the property that if is a bounded sequence in Z and is strongly convergent, then there exists a subsequence of that is strongly convergent. Lemma 1. Let where H is a real Hilbert space, closed and convex, and let be an α-strictly pseudocontractive mapping. Then, the following applies:
- (i)
If is closed and convex;
- (ii)
is demiclosed at zero.
Lemma 2 ([
12])
. Let , satisfying the inequalityIf and , then the exists.
Lemma 3 ([
7,
26])
. Let H be as in Assumption 1; then, for all , the following inequality holds: Proposition 1 ([
30])
. Let be a countable subset of the set of real numbers , where k is a fixed non-negative integer and N is any integer with Then, the following identity holds: Proposition 2 ([
30])
. Let and v be arbitrary elements of a real Hilbert space H. Let k be any fixed non-negative integer and be such that Let and be countable finite subsets of H and respectively. DefineThen,where and . Lemma 4 ([
2])
. Let K be a nonempty, bounded, closed and convex subset of a real Banach space Z, a nonexpansive mapping and ; then, for any given , the mapping , where I is the identity operator, has the same fixed point as Γ
and is asymptotically regular. Remark 3. When Γ
is nonexpansive, so is , and both have the same fixed point; however, has more felicitous asymptotic behavior than the original mapping (see [
2]
for details). 3. Main Results
First, we provide an iterative scheme as well as a convergence study regarding this scheme with respect to the solutions to the split feasibility problem for a pair of finite families of -enriched strictly pseudocontractive mappings.
Assumption 2. Consider the following:
- (a)
Let be two real Hilbert spaces: , a bounded linear operator; and , the adjoint of B;
- (b)
Let be a finite family of -enriched strictly pseudocontractive and demicompact mappings with ;
- (c)
Let be a finite family of -enriched strictly pseudocontractive and demicompact mappings with ;
- (d)
Let ;
- (e)
Let D be a set of solutions of (MSSFP); that is,
Now, we present our iteration scheme as follows.
Let be as in Assumption 2. For an arbitrary point , construct the sequence iteratively as follows:where is a countably finite family of real sequences in Theorem 1. Let be as stated in Assumption 2. Let be a sequence given by (15). If satisfies the following conditions: - (1)
for each i;
- (2)
- (3)
- (4)
.
then both converge strongly and weakly to some
Proof. Since
is
-ESPCM for each
j, by setting
for
, we obtain from (
5) that
which upon simplifying yields
where
, and
I denotes the identity mapping on
It is clear that the finite family of the average operator
is an
-strictly pseudocontractive mapping.
Again, since
is
-ESPCM for each
j, by following a similar approach as in (
16), we obtain
where
, and
I denotes the identity mapping on
It is obvious that the finite family of the average operator
is again an
-strictly pseudocontractive mapping.
Recall that for each
,
Inequality (
16) and Equation (
18) imply that for each
where
.
Let
Q be a convex subset of a linear space
Z and
be a given map. Then, for any
with
and for each
the mapping
is defined by
where
for
denotes a translation of
through the vector
.
Now, since
it follows from inequality (
19) that
so that for any
with
, for each
we obtain
Using the above information, we restate the iterative scheme defined by (
15) as follows:
with the conditions on the iteration parameters still as in (
15).
Now, we show that the sequences are bounded.
By the definition of
D, for a given
, we obtain
and
Thus, .
Since
is a finite family of an
-strictly pseudocontractive mapping for each
j, it follows from Lemma 1 that
is closed and convex. Consequently, using Proposition 2 with
, for each
and
, we obtain from (
22) that
Since
and since using inequality (
17)
it follows from Equation (
24) that
Based on condition 4 from the statement, it is clear that
, and as a consequence, Equation (
26) reduces to
Inequalities (
23) and (
27) imply that
The last inequality implies that the
exists; from (
27), it again follows that the
exists. Thus, the sequences
are bounded. Since for each
,
is nonexpansive, we have
Therefore, is also bounded for each .
For each
, denote
. Since
is nonexpansive for each
it follows from Lemma 4 that
is asymptotically regular. That is,
Also, for each
, we have
Next, we show that for each
,
Now, for any given
, we obtain, using (
22) and Proposition 2 with
and
, that
Using a strict pseudocontraction condition on each
, we obtain
which by Proposition 1 and Equation (
26) yields
Then, we obtain from the last inequality that
Applying conditions 2 and 3 from the statement and the fact that
in inequality (
34), we obtain
Furthermore, we show that
Using (
22) and Proposition 2 with
, we have
Since
it follows from Equation (
35), inequality (
36) and Equation (
37) that
Also, observe from (
22) that
Considering the above information, we are ready to present our strong and weak convergent results.
Now, since
is demicompact (by hypothesis) for each
j, it follows from (
30) that
is demicompact for each
j. Therefore, using (
29), we can find a subsequence
of
such that
as
Further, by the continuity of
, for each
j, it follows that
is also continuous for each
j, and hence,
Thus,
Using the above information, we have
for all
To be precise,
Using (
28), we obtain that
converges strongly to
Again, from (
36), we obtain
Thus, for any
there exists a subsequence
with
such that
Obviously, from the boundedness of
B and decompactness and continuity property of
, it is easy to see from (
42), by following the same reasoning as in (
40), that
holds.
Finally, we show that every cluster point of the sequence is a member of
Now, since is a bounded sequence in , this means that we can find a subsequence of the sequence such that .
Using (
35), we have
for each
Observe from (
20) that for each
which immediately guarantees that
is also demiclosed at zero by the demiclosedness of
(see Lemma 1). Consequently,
for each
Since
j is arbitrary, it follows that
Conversely, from (
22) and (
35), we obtain
In view of the boundedness of the linear operator
B, we obtain
Again, from (
35), we have
Thus, for any
there exists a subsequence
with
such that
Following the demiclosedness of
(see Lemma 1), we are guaranteed that
is also demiclosed at zero. From the above information and (
47), we obtain that
. By the arbitrariness of
we have
This completes the proof.
□
If in Theorem 1, then the following corollary emerges.
Corollary 1. Let be as in Assumption 2. Let be a sequence given by If satisfies following the conditions:
- (1)
for each i;
- (2)
- (3)
then converges strongly and weakly to some
4. Application
In this section, following the same approach as in [
33,
34], we shall make use of the results of
Section 3 to study the hierarchical variational inequality problem.
Let
be as in Assumption Q with
Let
be a nonexpansive mapping. The well-known hierarchical variational inequality problem for the countably finite family of the mappings
with respect to the mapping
S is to find a point
such that
It is not difficult to see that (
49) is equivalent to the fixed point problem below:
find
such that
where
is the metric projectiom of
H onto
In setting
and
(the set of fixed point of
) and
(the identity mapping on
H), then the problem (
50) is equivalent to the multiple-set split feasibility problem defined as follows: find
such that
Consequently, Theorem 2 below follows immediately from Theorem 1.
Theorem 2. Let be as stated in Theorem 1. Let and be the sequences are given bywhere is a countably finite family of real sequences in , and , satisfying the following conditions: - (1)
for each i;
- (2)
- (3)
- (4)
.
If , then converges weakly to a solution of the hierarchical variational inequality problem (49). Further, if one of the mappings is demicompact, then both and converge strongly to a solution of the hierarchical variational inequality problem (49). Proof. Based on the fact that S is nonexpansive, by Remark 1, S is a 0-enriched nonexpansive mapping (and, by extension, a 0-enriched pseudocontracive mapping with ). In taking (where I is the identity mapping on H) in Theorem 1, then all the conditions of Theorem 1 are satisfied. Hence, the conclusion of Theorem 2 immediately follows from that of Theorem 1. □