1. Introduction
We use the following symbols throughout this paper: let
H be a real Hilbert space and
C be a nonempty closed convex subset of
H. We also use the symbols
and
, which represent strong and weak convergence, respectively. The variational inequality problem (VIP) is a well known problem. That is to find a point
such that
where
is a mapping. The set of all solutions of (
1) is denoted by
.
The variational inequality problem has been applied in various fields such as industry, finance, economics, social, ecology, regional, pure and applied sciences; see [
1,
2,
3]. For every
, let
be a real Hilbert space and
be nonempty closed convex subset of
, and
, respectively. Recently, Censor [
4] has introduced a new variational problem called the split inequality problem (SIP). It entails finding a solution of one variational inequality problem (VIP), the image of which, under a given bounded linear transformation, is a solution of another VIP.
The split variational inequality problem is assigned to the following formula; find a point
such that
and a point
solves
where
is a bounded linear operator and
are mappings. The set of all solutions of (
2) and (
3) is denoted by
The split variational inequality problem can be applied to model in intensity-modulated radiation therapy (IMRT) treatment planning.
There are also a lot of authors who have introduced convergence theorem related to the split variational inequality and fixed point problems; see [
5,
6,
7] for an example. In [
8], they have studied the Mann implicit iterations for strongly accreative and strongly pseudo-contractive mappings and found that this implicit scheme gives a better convergence rate estimate.
The following definitions are important tools used in this research. A mapping
of
H into itself is called nonexpansive if
, for all
We denote by
the set of fixed points of
(i.e.,
). A nonexpansive mapping
is equivalent to the following inequality;
for all
. From the equation above if
and
we can conclude that;
A mapping
A of
C into
H is called inverse strongly monotonic, if there exists
such that
for all
. In [
9], Kohsaka and Takahashi introduced the nonspreading mapping in Hilbert spaces
H which is defined by the following inequality
for all
.
Following the terminology of Browder and Petryshyn [
10], in [
11], Osilike and Isiogugu introduced the mapping
, which is called
—strictly pseudo-nonspreading mapping if there exists
such that
for all
. Clearly every nonspreading mapping is
-strictly pseudo-nonspreading; see, for example, [
11].
In [
12], Bnouhachem modified a projection process for finding a common solution of a system of variational inequalities, a split equilibrium problem and a hierarchical fixed-point problem in the setting of real Hilbert spaces and also proved the strong convergence theorem of the sequence
generated by
where
is a bounded linear operator. Assume that
and
are the bifunctions;
is a
-inverse strongly monotonic mapping for each
and
nonexpansive mapping;
is a
k-Lipschitzian mapping and is
-strongly monotonic;
is a
-Lipschitzian mapping; and the positive parameters are
, for all
.
Let
C and
Q be nonempty closed convex subsets of the real Hilbert spaces
and
, respectively. The split feasibility problem (SFP) is formulated as:
where
is a bounded linear operator. The SFP are also applied in [
13,
14].
Recently, Moudafi [
15] introduced the following new split feasibility problem, which is also called general split equality problem:
Let
be real Hilbert spaces,
be two nonempty closed convex sets and
be two bounded linear operators. Moudafi studied the convergence of a relaxed alternating CQ-algorithm for solving the new split feasibility problem, aiming to find
In order to prove the weak convergence theory to solve general split equality problem (
5), Moudafi defined the following iteration process
:
where
are adjoint operators of
respectively, proper conditions of the positive paramiter
, for all
. In order to avoid using the projection, Moudafi [
16] introduced and studied the following problem: Let
and
be nonlinear operators such that Fix
≠ Ø and Fix
≠ Ø, where Fix
and Fix
denote the sets of fixed points of
T and
S, respectively. If
C = Fix
and
Q = Fix
; then the split equality problem reduces to
which is called a split equality fixed point problem (SEFPP).
Denote by
the solution set of split equality fixed point problem (
6). There were recently SEFPP research articles in [
17,
18].
Question A. Can we prove a strong convergence theorem of three Hilbert spaces by different methods from Moudafi [
15]?
For every
, let
be a real Hilbert space and
be a nonempty closed convex subset of
. Let
be a mapping, for all
, and let
and
. The split various variational inequality is to find the points
The set of the solutions of (
7) is denoted by
for all
.
To answer question A, we have created a new tool to prove a strong convergence theorem for three Hilbert spaces to be used for finding the solution of the problem (
7) and the fixed points problem of nonspreading and pseudo-nonspreading mappings. Preliminaries In this section, we collect some definitions and lemmas in Hilbert space, which will be needed for proving our main results. More properties of Hilbert space can be found in [
19].
Definition 1. The (nearest point) projection from H onto C assigns to each the unique point satisfying the property Lemmas 1 and 2 are properties of .
Lemma 1. ([20]) For a given and , if and only if there holds the inequality for all Lemma 2. ([21]) Let H be a Hilbert space, let C be a nonempty closed convex subset of H and let A be a mapping of C into H. Let . Then for , if and only if , where is the metric projection of H onto C. Lemma 3. ([22]) Let be a sequence of nonnegative real numbers satisfying for all , where is a sequence in and is a sequence such that
- (1)
- (2)
.
Then
Lemma 4. ([23]) Let be a sequence of nonnegative real number satisfying,where satisfy the conditions - (1)
;
- (2)
Then
Lemma 5. For every , let be a real Hilbert spaces and be a nonempty closed convex subset of . Let be -inverse strongly monotonic mappings with and let be bounded linear operators with the adjoint operator and , respectively. Assume that and . The following are equivalent:
- (i)
.
- (ii)
,
where is an identity mapping, for all , , which are spectral radii of and , respectively, for all and
Proof. Let the conditions hold.
Let
; we have
From determining the definition of
, we have
Let
where
and
Since is -inverse strongly monotonic with for all , we have which is a nonexpansive mapping, for all .
Let
where
where
. From
implies
, we have
Put and
From determining the definition of
and
w, we have
By applying above equation and Lemma 2, we have
From determining the definitions of
and (
9), we have
Hence . □
Lemma 6. Let C be a nonempty closed convex subset of Hilbert space H. Let be a nonspreading mapping and be κ-pseudo-nonspreding mapping with . Then for all and . Moreover, if , thenfor all and . Proof. Let
, we have
It follows that
. Therefore
Let
and
. From Lemma 2, we have
for all
From determining the definition of
, we have
From the result of the calculation from the inequality (
10), we get
Assume that
; then we have
Using the same method as (
11) and definitions of
, we get
From (
11) and
, we obtain
From above and (
12), we have
Thus, This is a contradiction.
Thus, we have
=
and it implies that
Similarly, by using the same technique as (
14), we have
From (
14) and (
15), we have
Let
and
; we have
□
3. Application
We have applied the problem (
7) for the various fixed point problems in three Hilbert spaces as follows:
For every
, let
be a real Hilbert space and
be a nonempty closed convex subset of
. Let
be a mapping, for all
and let
and
. The fixed points problem in three Hilbert spaces is meant to find the point
The set of the solutions of (
23) is denoted by
for all
. It is clear that
, where
is a nonexpansive mapping with
. By leveraging Lemma 5 and such knowledge, we have the following results:
Lemma 9. For every , let be a real Hilbert spaces and be a nonempty closed convex subset of . Let be nonexpansive mappings and let be a bounded linear operator with the adjoint operator and , respectively. Assume that and . The following are equivalent:
- (i)
.
- (ii)
,
where is an identity mapping, for all , , which are spectral radii of and , respectively, for all and
Proof. Given for all ; —a -inverse strongly monotonic; and Lemma 5, we can summarize the result of Lemma 9. □
As the direct benefits of Lemma 9, we get Corollary 10.
Corollary 10. For every , let be a closed convex subset of a real Hilbert space . Let be a nonexpansive mapping and let be a bounded linear operator with the adjoint operator and , respectively. Assume that . Let be nonspreading and κ-strictly pseudo-nonspreading mappings, respectively. Assume that and let the sequence generated by , andfor all and , is an identity mapping, for all , where and and for all for all and for all . Suppose that the conditions (i) to (v) are true; - (i)
;
- (ii)
, where , where are spectral radii of , respectively;
- (iii)
;
- (iv)
;
- (v)
Then the sequence converses strongly to .