Abstract
In this paper, we establish new strong convergence theorems of proposed algorithms under suitable new conditions for the generalized split feasibility problem in Banach spaces. As applications, new strong convergence theorems for equilibrium problems, fixed point problems and split common fixed point problems are also studied. Our new results are distinct from recent results on the topic in the literature.
Keywords:
strong convergence; generalized split feasibility problem; fixed point problem; equilibrium problem; split common fixed point problem MSC:
47H09; 47J25
1. Introduction
Let and be nonempty closed and convex subsets of finite-dimensional Hilbert spaces and , respectively. The mathematical model about the split feasibility problem (, in short), originally put forward by Censor and Elfving [1], was introduced as follows:
where is a bounded linear operator. The solution set of (SFP) for is denoted by , i.e., .
In fact, the split feasibility problem originated from modeling and inverse problems, phase retrievals and in medical image reconstruction [2]. In the past more than two decades, the split feasibility problem has been widely studied by many authors and has been applied in different disciplines, including radiation therapy treatment planning, signal processing, image restoration, computer tomography, and so forth. For details, see, e.g., [3,4,5] and the reference therein. Based on the idea of split feasibility problem, split variational inclusion problem, split common null point problem, split common fixed problem, split equilibrium problem, split equality problem and so on were introduced by many authors and some iteration algorithms for the approximation of solutions of these problems were established in Banach spaces or Hilbert spaces (see, e.g., [6,7,8,9,10,11,12,13,14,15] and the reference therein).
In 2014, Takahashi, Xu, and Yao [16] investigated the following generalized split feasibility problem (, in short) in Hilbert spaces and :
where is a maximal monotone operator, is a bounded linear operator and is a nonexpansive mapping. We use to denote the solution set of (GSFP), i.e., . The algorithm shown below was established to solve (GSFP) and a weak convergence theorem was obtained under suitable control conditions as follows: for any ,
where is the resolvent operator of , is the adjoint of . The research on (GSFP) has extended from Hilbert spaces to Banach spaces, see, e.g., [12,17] and the reference therein.
In reality, strong convergence results are more useful and easily applied than the weak convergence results in many practical applications. Motivated by that reason, in this paper, we establish new strong convergence theorems of proposed algorithms under suitable new conditions for (GSFP) in Banach spaces. Our results established in Section 3 can be applied to study for equilibrium problems, fixed point problems and split common fixed point problems. These new results in this paper are distinct from recent results on the topic in the literature.
2. Preliminaries
Let be a real Banach space with the dual space . is said to be strictly convex if for all with . The modulus of convexity of is defined as
for all . is said to be uniformly convex if and for all . Let p be a real number with . is called p-uniformly convex if there exists a constant such that for all .
The function is the modulus of smoothness of and is defined as
is called to be uniformly smooth if as . Let . is called q-uniformly smooth if there exists a constant such that for all . It is generally known that every q-uniformly smooth Banach space is uniformly smooth.
The normalized duality mapping from to is defined as
where denotes the generalized duality pairing between and .
As is known to all, if is uniformly smooth Banach spaces, then is uniformly norm-to-norm continuous on each bounded subset of .
Let be a smooth, reflexive and strictly convex Banach space. Consider the functional [18,19] defined by
where is a normalized duality mapping. By the definition of , we know that
From Alber [18], the generalized projection is defined by
That is, , where is the unique solution to the minimization problem .
The following useful existence and uniqueness results for the operator can follow from the properties of the functional and strict monotonicity of the mapping (see, e.g., [16,18,19,20]).
Lemma 1
(see [19]). Let be a smooth, strictly convex and reflective Banach space and be a nonempty closed convex subset of . Then the following conclusions hold:
- (A)
- for all and ;
- (B)
- If and , then if and only if for all ;
- (C)
- For , if and only if ;
- (D)
- For , , for all
Assume be a reflexive, strictly convex and smooth Banach space. The duality mapping from onto coincides with the inverse of the duality mapping from onto , i.e, .
We will use the following mapping , introduced in [18], to prove our main result:
for all and . Obviously, for all and .
Lemma 2
(see [18]). Let be a reflexive, strictly convex and smooth Banach space. Then
for all and .
In what follows, the symbols ⇀ and → will symbolize weak convergence and strong convergence as usual, respectively. The symbols and are used to denote the sets of positive integers and real numbers, respectively. Let be a smooth Banach space, be a nonempty closed convex subset of , and let be a mapping from into itself. We use to denote the set of all fixed points of the mapping . A point is called an asymptotically fixed point of [21] if there exists a sequence such that and . We will use denote the set of asymptotical fixed points of .
Definition 1.
A mapping is called
- (i)
- τ-quasi-strictly pseudocontractive, if and there exists a constant , such that
- (ii)
- relatively nonexpansive [22], if , and for all and ;
- (iii)
- strongly relatively nonexpansive [23], if is relatively nonexpansive and whenever is bounded sequence in with for some .
Recently, the class of firmly nonexpansive type mappings have been introduced by Kohsaka and Takahashi [24] in Banach spaces. Let be a nonempty closed convex subset of a smooth Banach space , and let be a mapping from into itself. Then is said to be if
for all . It is easy to see that if is firmly nonexpansive type with is demi-closed at zero, then it is strongly relatively nonexpansive.
It is well know that if is a nonempty closed convex subset of smooth, strictly convex and reflexive and is a monotone operator such that for all , then for each , the resolvent of which is defined by for all is firmly nonexpansive type mapping. In particular, if is maximal monotone operator, then for all , see [25]. In this case, the resolvent of is a firmly nonexpansive type mapping from into itself [26,27] and is closed and convex and .
Definition 2.
A mapping is called demiclosed at zero if for any sequence with and as , then .
The following known results are very crucial in our proofs.
Lemma 3
(see [27]). Let be a uniformly convex and smooth Banach space, and be two sequences of . If and either or is bounded, then .
Lemma 4
(see [28]). Let be a nonempty closed convex subset of a real Banach space and let be a τ-quasi-strictly psedocontractive mapping. If , then is closed and convex.
Lemma 5
(see [29]). If be a 2-uniformly smooth Banach space, then for each and each :
Lemma 6
(see [30]). Let be a sequence of nonnegative real numbers satisfying the following relation:
where , ; ; , . Then as
Lemma 7
(see [31]). Let be a sequence of real numbers such that there exists a subsequence of satisfying for all . Then there exists a nondecreasing sequence such that and the following properties are satisfied for all (sufficiently large) numbers :
In fact,
3. Main Results
In this section, we first establish a new strong convergence iterative algorithm for the generalized split feasibility problem.
Theorem 1.
Let and be 2-uniformly convex and 2-uniformly smooth real Banach spaces with smoothness constant k satisfying . Let be a maximal monotone operator with . Let be the resolvent of . Let be a τ-quasi-strict pseudocontractive mapping such that , and be demiclosed at zero, be a bounded linear operator. Let be a sequence in (0,1). For any and a fixed , let be a sequence defined by
where and are the normalized duality mappings of and , respectively. Suppose that and satisfy the following conditions:
- (i)
- and
- (ii)
- .
If , then the sequence converges strongly to a point , where .
Proof
First, note that is closed and convex and from Lemma 4, we have is closed and convex. Let . Then and . For any , from (1) and Lemma 5, we have
where
Substituting (3) into (2), and by condition , we get
for all . Furthermore, because is the resolvent of a maximal monotone operator, it is a strongly relative nonexpansive mapping. For any , by taking into account (1), (4) and Lemma 1, we obtain
Therefore, we prove that is bounded. Consequently, , and are also bounded. Next, according to Lemma 2, we get
The rest of the proof is going to be divided into two possible cases.
Case 1. Assume that there exists such that is monotonically decreasing as . Obviously, converges and
Therefore, by the definition of strongly relatively nonexpansive mapping, we obtain
Furthermore, by Lemma 3, we have
Since is reflexive and is bounded, there exists a subsequence of such that converges weakly to . Since is strongly relatively nonexpansive, from (11), we have , i.e., . For any , by taking into account (4), (6), (7) and conditions and , we get
which implies
Hence, from the definition of , we obtain
Because is norm to norm uniformly continuous, we obtain
By the continuity of and (15), we obtain that as Thus, by (13) and is demiclosed at zero, we get . Therefore, .
Next, we show that converges strongly to Let . For any , from (6), we know that
Now, we observe that
Hence, Thus
By choosing a subsequence of and from Lemma 1, we obtain
By (18), we have
Therefore, in view of (16), (19) and Lemma 6, we conclude that which means . Therefore, converges strongly to
Case 2. Let be a subsequence of such that for all Therefore, from Lemma 7, there exists a nondecreasing sequence such that
and
Similarly as in the proof of case 1, we get
Therefore Furthermore, it follows from (20) that Since for all , we conclude that as On the other hand, since as , we obtain as The proof is completed. □
Remark 1.
- (a)
- All results established in [16] were considered in the setting of Hilbert spaces. It is worth noting that Theorem 1 is a strong convergence theorem for the generalized split feasibility problem in the setting of Banach spaces, so it is different from any result in [16];
- (b)
- Recently, Ansari and Rehan [17] studied (GSFP) and established weak convergence theorems of the iterative algorithm shown below in the setting of two Banach spaces:where and are uniformly convex and 2-uniformly smooth real Banach spaces, be a maximal monotone set-valued mapping such that , be a quasi-nonexpansive mapping and be a bounded linear operator whose adjoint is denoted by . be the resolvent operator of for , and be the normalized duality mappings on and , respectively. It is worth noting that Theorem 1 is distinct from any result in [17].
Let be a smooth strictly convex and reflexive Banach space and let be a nonempty closed convex subset of . Let be the indicator function of , i.e., if and ∞ otherwise. Then is a proper lower semicontinuous convex function. Rockafellar’s maximal monotonicity theorem [32] guarantees that the subdifferential of is maximal monotone. In this case, it is known that is reduced to the normality operator for , i.e.,
Indeed, for any ,
We also know that is the resolvent of . In fact, (see, e.g., [24] for more details).
Let and be a nonempty closed convex subsets of and , respectively. Consider and , where is the metric projection from onto . Therefore, we have and . By virtue of Theorem 1, we can establish the following strong convergence algorithm of the split feasibility problem for metric projections in Banach spaces.
Corollary 1.
Let and be 2-uniformly convex and 2-uniformly smooth real Banach space with smoothness constant k satisfying , and be nonempty closed convex subsets of and , respectively. Let be the metric projection from onto and be a bounded linear operator. Let be a sequence in (0,1). For any and a fixed , suppose that is a sequence defined by
where and are the normalized duality mappings of and , respectively. Suppose that and satisfy the following conditions: and . If , then the sequence converges strongly to a point , where .
4. Some Applications
In this section, we will show some applications of the generalized split feasibility problem and Theorem 1.
(I) Equilibrium problem and fixed point problem
Let be a bi-function. Recall that the classical equilibrium problem (, in short) is defined as follows.
The symbol is used to denote the set of all solutions of the problem (EP) for , i.e.,
Let us consider the following hybrid problem for equilibrium problem and fixed point problem (, in short):
where is a nonempty closed and convex subset of , and are 2-uniformly convex and 2-uniformly smooth real Banach spaces with smoothness constant k satisfying , is a bounded linear operator, is a -quasi-strict pseudocontractive mapping such that .
Let be a bi-function satisfying the following conditions (C1)–(C4):
- (C1)
- ;
- (C2)
- is monotone, i.e., ;
- (C3)
- For all , ;
- (C4)
- For each , the function is convex and lower semi-continuous.
The resolvent mapping of is defined as
It is known that the following assertions hold (see [33]):
- (1)
- is single-valued;
- (2)
- is a firmly nonexpansive-type mapping;
- (3)
- ;
- (4)
- is closed and convex.
The following result is a special case of the result by Aoyama et al. [34].
Lemma 8.
Let be bi-functions satisfying (C1)-(C4) and let be a set-valued mapping defined as follows:
- For any , ;
- For any , .
Then, is a maximal monotone operator with and Furthermore, for , the resolvent of coincides with the resolvent of , i.e.,
As a consequence of Theorem 1, we can get the following result for finding a solution of (HEFP).
Theorem 2.
Let and be 2-uniformly convex and 2-uniformly smooth real Banach space with smoothness constant k satisfying . Let and be nonempty closed and convex subsets of and , respectively. Let is bounded linear operators. Let be bi-function satisfying the condition (C1)-(C4) and be the resolvent mapping of defined in Lemma 8. Let be a τ-quasi-strict pseudocontractive mapping with , and be demiclosed at zero. Let be a sequence in (0,1). For any and a fixed , let be a sequence defined by
where and are the normalized duality mappings of and , respectively. Suppose that and satisfy the following conditions: and . If , then the sequence converges strongly to a point , where .
(II) Split common fixed point problem
Since is the resolvent of a maximal monotone operator, we know that it is a strongly relative nonexpansive mapping. Therefore the following result of split common fixed point problem for -quasi-strict pseudocontractive mappings and strongly relatively nonexpansive mappings can be established from Theorem 1 immediately.
Theorem 3.
Let and be 2-uniformly convex and 2-uniformly smooth real Banach spaces with smoothness constant k satisfying . Let be a strongly relatively nonexpansive mapping with . Let be a τ-quasi-strict pseudocontractive mapping such that , and be demiclosed at zero, be a bounded linear operator. Let be a sequence in (0,1). For any and a fixed , let be a sequence defined by
where and are the normalized duality mappings of and , respectively. Suppose that and satisfy the following conditions: and . If , then the sequence converges strongly to a point , where .
The following conclusion is an immediate consequence of Theorem 3 due to the fact that is a special -quasi-strict pseudocontractive mapping.
Corollary 2.
Let and be 2-uniformly convex and 2-uniformly smooth real Banach spaces with smoothness constant k satisfying . Let and be nonempty, closed and convex subsets of and respectively. Let be the metric projection from onto and be a strongly relatively nonexpansive mapping with . be a bounded linear operator. Let be a sequence in (0,1). For any and a fixed , let be a sequence defined by
where and are the normalized duality mappings of and , respectively. Suppose that and satisfy the following conditions: and . If , then the sequence converges strongly to a point , where = .
5. Conclusions
New strong convergence theorems of proposed algorithms under suitable new conditions for the generalized split feasibility problem in Banach spaces are established in this paper. As applications, we study new strong convergence theorems for equilibrium problems, fixed point problems and split common fixed point problems. Our new results are distinct from recent results on the topic in the literature.
Author Contributions
Writing—original draft, X.Z., Z.M. and W.-S.D. All authors have read and agreed to the published version of the manuscript.
Funding
The second author is supported by Yunnan Provincial and Technology Department grant number 2018JS776. The third author is supported by Grant No. MOST 107-2115-M-017-004-MY2 of the Ministry of Science and Technology of the Republic of China.
Acknowledgments
The authors wish to express their hearty thanks to anonymous referees for their valuable suggestions and comments.
Conflicts of Interest
The authors declare no conflict of interest.
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