Abstract
In this paper, a new algorithm for finding a common element of a split equality fixed point problem for nonexpansive mappings and split equality equilibrium problem in three Banach spaces is introduced. Also, some strong and weak convergence theorems for the proposed algorithm are proved. Finally, the main results obtained in this paper are applied to solve the split equality convex minimization problem.
Keywords:
split equality equilibrium problem; split equality convex minimization problem; nonexpansive mapping; Banach space MSC:
47H09; 47J25
1. Introduction
Let be a closed convex subset of real Banach space with the dual space , and let be a bifunction, where ℜ is the set of real numbers. The equilibrium problem (for short, (EP)) is to find such that:
The solutions set of the problem (EP) is denoted by EP, that is,
It is well known that many problems in physics, optimization, economics and other applied sciences reduce to find a solution of the problem (EP). Equilibrium problems and variational inequality problems in Hilbert spaces or Banach spaces have been extensively studied by many authors (see, for example, [1,2,3,4,5,6,7,8] and the references therein).
In order to model inverse problems in phase retrievals and medical image reconstruction [9], Censor and Elfving [10] introduced the following split feasibility problem (shortly, (SFP)) in 1994:
where and are nonempty closed convex subsets of Hilbert spaces and , respectively, is a bounded linear operator.
As a matter of fact, many problems appeared in image restoration, computer tomograph and radiation therapy treatment planing can be formulated as the problem (SFP) [11,12,13]. For approximating solutions of the problem (SFP), some methods have been proposed by some authors (see, for instance [9,14,15,16,17].
Further, Moudafi [18] developed the problem (SFP) and proposed the split equality problem as follows:
Let , be two nonempty closed convex subsets of real Hilbert spaces and , respectively, be a real Hilbert space, and be two bounded linear operators. The split equality problem (shortly, (SEP)) is as follows:
It is easy to see that the problem (SEP) may reduce to the problem (SFP) when and h is the identity mapping on . If and are the sets of nonempty fixed points of the mappings and on and , respectively, then, the split equality problem is called the split equality fixed point problem (shortly, (SEFP)) [19]). The set of solutions of the problem (SEFP) on and is denoted as follows:
Based on the idea of the split feasibility problem, in 2013, Kazmi and Rizvi [20] proposed the split equilibrium problems in Hilbert spaces.
Assume that and are nonlinear bifunctions, where and are closed convex subsets of and , respectively, and is a bounded linear operator. The split equilibrium problem (shortly, (SEQP)) is as follows:
and such that
Here, based on the ideas of the problems (SEP) and (SEQP), we consider the following so-called split equality equilibrium problem in Banach spaces:
Definition 1.
Let , , be three Banach spaces and , be nonempty closed convex subsets of , , respectively. Let , be two bifunctions and , be two bounded linear operators. The split equality equilibrium problem (shortly, (SEEP)) is as follows: Find and such that
The set of solutions of the problem (SEEP) is denoted by SEEP, that is,
The problems (SFP), (SEQP) and (SEP) in Hilbert spaces have attracted the attention of many authors. Some iteration algorithms have been proposed for finding a solution of these problems (see, for instance, ref. [20,21,22,23] and the references therein). Especially, the split equality mixed equilibrium problem was investigated in [24] and the convergence results on solutions were obtained in Hilbert spaces.
The recent research on the probelms (SFP), (SEP), the split common null point problem and the split common fixed point problem have been developed in Banach spaces by some authors (see, for example, ref. [25,26,27] and the references therein). But, according to the literature, we can not find out the results on the problems (SEP) and (SEQP) in Banach spaces.
In this paper, motivated and inspired by the recent works in [20,23,24,25,26,27]), we construct a new algorithm to find a common element of the problem (SEFP) and the problem (SEEP) for nonexpansive mappings in three Banach spaces. Also, some strong and weak convergence theorems for the proposed algorithm are proved. Finally, our main results are applied to study the convergence of solutions of a split equality convex minimization problem.
2. Preliminaries
In this paper, we denote the strong convergence and weak convergence of a sequence to a point by and , respectively.
Let be a real normed linear space and be a nonempty closed convex subset of . A mapping is said to be nonexpansive if
If is a bounded closed convex subset of a uniformly convex Banach space and is the nonexpansive, then the fixed point set is nonempty (see [28] for more details).
Let be a real Banach space with the dual space . The normalized duality mapping from to is defined by
where denotes the generalized duality pairing between and .
Note that, by the Hahn-Banach theorem, is nonempty (see [28] for more details) and, if is a Hilbert space, then is the identity mapping on .
Proposition 1
([28,29]). Assume that is a Banach space and is the normalized duality mapping from into . Then
- 1.
- If is reflexive, strictly convex and smooth Banach space, then is single-valued, one-to-one and surjective, and is the inverse of .
- 2.
- If is a uniformly smooth Banach spaces, then is uniformly norm-to-norm continuous on each bounded subset of .
The normalized duality mapping is said to be weakly sequentially continuous if the weak convergence of a sequence to implies the weak convergence of to in .
Definition 2.
Let be a nonempty closed convex subset of a Banach space . The mapping is said to be:
- 1.
- accretive if
- 2.
- strongly accretive if there exists a constant such that
- 3.
- α-inverse strongly accretive if there exists a constant such that
For solving the equilibrium problem, we assume that the bifunction satisfies the following conditions:
- (C1)
- for all ;
- (C2)
- for all ;
- (C3)
- for all , ;
- (C4)
- for all , the function is convex and lower semi-continuous.
Lemma 1
([2]). Let be a closed convex subset of a smooth, strictly convex and reflexive Banach space and be a bifunction satisfying –. For any and , there exists such that
Lemma 2
([30]). Let be a closed convex subset of a smooth, strictly convex and reflexive Banach space and be a bifunction satisfying –. For any and , define a mapping as follows:
Then the following hold:
- 1.
- is a singleton;
- 2.
- is firmly nonexpansive, that is, for all ,
- 3.
- ;
- 4.
- is closed and convex.
Lemma 3
([31]). For any number , a real Banach space is uniformly convex if and only if there exists a continuous strictly increasing function with such that
for all with and and .
Let be a mapping with . is said to be demi-closed at zero if, for any with and , then . A mapping is said to be semi-compact if for any bounded sequence in such that , there exists a subsequence of such that converges strongly to .
A Banach space E is said to satisfy Opial’s property if, for any sequence in E with , for any with , we have
Lemma 4
([31]). Let be a 2-uniformly smooth Banach space with the best smoothness constants . Then the following inequality holds:
Lemma 5
([32]). Let be a nonempty closed subset of a real uniformly convex Banach space and be a nonexpansive mapping. Then is demi-closed at zero.
3. Main Results
Throughout the rest of this paper, we always assume the following conditions are satisfied:
- (A)
- , are real uniformly convex and 2-uniformly smooth Banach spaces satisfying Opial’s condition and with the best smoothness constant k satisfying ;
- (B)
- is a smooth, reflexive and strictly convex Banach space;
- (C)
- and are the bifunctions satisfying the conditions –;
- (D)
- , are two nonexpansive mappings with and ;
- (E)
- , are two bounded linear operators with adjoints , , respectively.
Theorem 1.
Let , , , , , g and h be the same as above. Let be the iteration scheme in defined as follows: for any ,
where , and is a sequence in for some .
If , then we have the following:
- 1.
- ;
- 2.
- Furthermore, if and are semi-compact, then .
Proof.
Since , are real uniformly convex and 2-uniformly smooth Banach spaces, is a smooth, reflexive and strictly convex Banach space, by the properties of the the normalized duality mapping , we know that the iteration scheme (1) is well defined.
- 1.
- For 1, we divide the proof of the Conclusion 1 into four steps as follows:
Step 1. Show that the limit of the sequence exists for any . In fact, taking , from Lemma 2, we know that and . Furthermore, we have
and
Because of the nonexpansiveness of and , using (2), (3), Lemma 3 and Lemma 4, we have
where . Setting , it follows from (1) that
Since , we know that and so, by (4) and (5),
Let . Then, by (6), we have
Since and , we have and so, from (7), it follows that is decreasing. So, exists. Further, it is easy to see that and are bounded.
Step 2. Show that
In fact, it follows from (7) that
Since and is a sequence in for some , by (8), we have
and
Applying the properties of , , (9) and Lemma 3, we have
Since
and
it follows from (10) that
In addition, since
by (11), we have
Similarly, we obtain
Again, since
and
by (12) and (13), it follows that
Since , we have and . In addition, it follows from Lemma 2 that is firmly nonexpansive. Further, we have
and
So, it follows from (15) and (16) that
Also, it follows from (1) and Lemma 4 that
and
Adding the inequalities (18), (19) and taking into account the fact that , we obtain
and so
Since exists, by (20), we have
Step 3. Show that and . In fact, using the nonexpansiveness of and , we have
and, further,
By (14), (21) and (22), we have
Similarly, we have
Since
it follows from (21) and (23) that
In addition, we have
and so it follows from (21) and (24) that
Step 4. Show that has the unique weak cluster points . In fact, since and are reflexive, and are bounded, we may assume that has a weak cluster points . Since and are nonespansive, and are demiclosed and so, from Lemma 5, (25) and (26), it follows that and .
Now, we show that and . Without loss of generality, we may suppose that the subsequence of converges weakly to . Also, by (21), we know that converges weakly to . Using the uniformly norm-to-norm continuity of , it follows from (21) that
Since , we have
From the condition , we obtain
for all . Taking the limit as in the inequality above , it follows from the condition and that for all . Put for all and . Thus we have and . Applying the conditions and , it follows that
that is, . As , from the condition , it follows that
for all . This means that . Following the same argument above, we also have . Since g and h are bounded linear operators, the point is a weak cluster point of . Again, applying the weakly lower semi-continuous property of the norm and (10), we obtain
and so . Therefore, we have .
Now, we show that is the unique weak cluster point of . Suppose that there exists another subsequence of such that converges weakly to a point with . It is easy to see that . By Opial’s properties of and , we obtain
and
which are contradictions and so . This completes the proof of the Conclusion 1.
- 2.
- Now, we prove the Conclusion 2. In fact, since and are semi-compact, is bounded, and , there exists a subsequence of such that . Since , we know that .
On the other hand, since exists for any and , , we know that . From the conclusion 1, we know that exists and so . Due to and , we can obtain that
This completes the proof. □
Let be a proper lower semi-continuous and convex functions, be a continuous and -inverse strongly accretive mapping. Define
We can see that also satisfies the conditions – if f satisfies the conditions –. So, the problem (EP) reduces to the problem: Find such that
which is also called the generalized mixed equilibrium problem (shortly, (GMEP)).
The set of solutions of the problem (GMEP) is denoted by GMEP.
If in the problem (GMEP), then the problem (GMEP) reduces to the following problem: Find such that
which is also called the mixed equilibrium problem (shortly, (MEP)). The set of solutions of the problem (MEP) is denoted by MEP.
Definition 3.
Let , , be three Banach spaces, , be two nonlinear bifunctions, , be continuous and -inverse strongly accretive mapping , , be proper lower semi-continuous and convex functions and , be two bounded linear operators. Then the split equality generalized mixed equilibrium problem (shortly, (SEGMEP)) is as follows: Find and such that
The set of solutions of the problem (SEGMEP) is denoted by SEGMEP, that is,
Taking
and
we can directly obtain the following result from Theorem 1 when and satisfy the conditions –:
Corollary 1.
Let , , , , , g and h be the same as above. Let , , ϕ and φ be the same as in Definition 3. Let iteration scheme be defined as follows: for any ,
where , and is a sequence in for some .
If , then we have the following:
- 1.
- ;
- 2.
- Furthermore, if and are semi-compact, then .
In Definition 3, if and , then the problem (SEGEMP) reduces to the following so called the split equality mixed equilibrium problem (shortly, (SEMEP)) as follows: Find and such that
The set of solutions of the problem (SEMEP) is denoted by SEMEP, that is,
Taking and in Corollary 1, we can obtain the following result:
Corollary 2.
Let , , , , , g and h be the same as above. Let ϕ and φ be the same as in Definition 3. Let be the iteration scheme in defined as follows: for any ,
where , and is a sequence in for some .
If , then we have the following:
- 1.
- ;
- 2.
- Furthermore, if and are semi-compact, then .
In Theorem 1, putting , and , then, by the similar proof in Theorem 1, the following result is obtained.
Corollary 3.
Let , , , , , and g be the same as above. Let be the iteration scheme in defined as follows: for any ,
where , , is a sequence in for some .
If , then we have the following:
- 1.
- ;
- 2.
- Furthermore, if and are semi-compact, then .
4. Applications to the Split Equality Convex Minimization Problem
If in the problem (MEP), then the mixed equilibrium problem reduces to the following convex minimization problem (shortly, (CMP)):
The solution set of the problem (CMP) is denoted by CMP.
In the problem (SEMEP), if , , then the problem (SEMEP) reduces to the following split equality convex minimization problem (shortly, (SECMP)), which is formulated as follows: Find and such that
The solution set of the problem (SECMP) is denoted by SECMP, that is,
Therefore, Corollary 2 can be used to solve the problem (SECMP) and the following result can be directly deduced from Corollary 2.
Theorem 2.
Let , , , , , , g and h be the same as above. Let ϕ and φ be the same as in Definition 3. Let iteration scheme be defined as follows: for any ,
where , and is a sequence in for some .
If , then we have the following:
- 1.
- ;
- 2.
- Furthermore, if and are semi-compact, then .
Remark 1.
In Theorem 2, if we take , and , then, from Theorem 2, we can obtain some more convergence theorems to approximate a common element of the solution set of the split feasibility problem(SFP)and the solution set of the split convex minimization problem(SCMP).
Author Contributions
Z.M., L.W. and Y.J.C. contributed equally in this work.
Funding
This research was funded by the National Natural Science Foundation of China Grant No. 11361070. This project was also supported by the Science Foundation of Education Department of Yunnan Province grant number 2018JS776.
Acknowledgments
The authors would like to thank the associate editor and the anonymous referee for his/her comments that helped us improve this article.
Conflicts of Interest
The authors declare no conflict of interest.
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