I. INTRODUCTION AND PRELIMINARIES
Fixed point theory for multi-valued mappings has many useful applications in various fields, control theory, convex optimization, game theory and mathematical economics. Therefore, it is natural to extend the known fixed point results for single-valued mappings to the setting of multi-valued mappings. The theory of multi-valued nonexpansive mappings is more difficult than the corresponding theory of single-valued nonexpansive mappings. The convergence of a sequence of fixed points of a convergent sequence of set valued contractions was investigated by [8] and [9]. In the last few decades, the numerous numbers of researchers attracted in these direction and developed the study of multi-valued version of iterative processes have been investigated to approximate fixed point for not only nonexpansive mapping, but also for some wider class of nonexpansive mappings. Iterative techniques for approximating fixed points of nonexpansive multi-valued mappings have been investigated by various authors using the Mann iteration scheme or the Ishikawa iteration scheme (see [11], [14], [16] and so on).
Let be the Hausdorff distance on is defined by
Let be a multivalued mapping. An element is said to be a fixed point of , if . The set of fixed points of will be denoted by . A multivalued mapping is said to be nonexpansive, if , for all , quasi-nonexpansive, if and , for all , and all . It is well known that if is a nonempty closed, bounded and convex subset of a uniformly convex Banach space , then a multivalued nonexpansive mapping has a fixed point. Shahzad and Zegeye [14] presented the set for a multivalued mapping, and showed that Mann and the Ishikawa iteration processes for multi-valued mappings are well defined. They proved the convergence of these iteration processes for multivalued mappings in a uniformly convex Banach space. In 2011, Abkar and Eslamian [1] extended the notion of condition (C) to the case of multi-valued mappings. In 2012, Abkar and Eslamian [2] introduced an iterative process for a finite family of generalized nonexpansive multivalued mappings and proved -convergence and strong convergence theorems in CAT(0) spaces.
In this paper, we introduce multi-valued version iterative scheme presented in [4] for multi-valued mappings as follows: for arbitrary construct a sequence by
where and , .
One can find in the literature that there are important studies about generalized nonexpansive mappings that are weaker nonexpansive mappings and stronger than quasi-nonexpansive mappings. For instance, in 2008, Suzuki [15] defined a class of generalized nonexpansive mappings on a nonempty subset of a Banach space . Such type of mappings was called the class of mappings satisfying the condition (also referred as Suzuki generalized nonexpansive mapping), which properly includes the class of nonexpansive mappings. Another one of the generalized nonexpansive mappings, in 2011, García-Falset et al. [6] introduced two new conditions on single-valued mappings, are called condition (also referred as Garsia-Falset generalized nonexpansive mapping) and which are weaker than nonexpansive and stronger than quasi-nonexpansive.
A single-valued mapping satisfies condition on , if there exists such that for all ,
Moreover, it is said that satisfies condition on , whenever satisfies condition , for some . It is obvious that if is nonexpansive, then it satisfies condition and from Lemma 7 in [15] we know that if satisfies condition on , then satisfies condition (see [6]). Proposition 1 in [6], we know also that if a mapping which satisfies condition on has some fixed point, then is quasi-nonexpansive. The converse is not true (see example in [6]). Thus the class of Garcia-Falset generalized nonexpansive mappings exceeds the class of Suzuki generalized nonexpansive mappings (and therefore the class of nonexpansive mappings), but still remains stronger than quasi-nonexpansiveness.
Motivated by the above, we prove some weak and strong convergence results using (1.1) iteration process for multi-valued Garsia-Falset generalized nonexpansive mappings (generalized nonexpansive mappings satisfying condition in uniformly convex Banach spaces. Moreover, we present an illustrative numerical example of approximating fixed point of multi-valued generalized nonexpansive mappings satisfying condition considering the iteration process (1.1).
Now we recall some notations to be used in main results:
A Banach space is said to satisfy Opial's condition [10] if, for each sequence in , the condition converges weakly as and for all with imply that
In the following we shall give some preliminaries on the concepts of asymptotic radius and asymptotic center which are due to [3].
Let be a bounded sequence in a Banach space . Then
(1) The asymptotic radius of at point is the number
(2) The asymptotic radius of relative to is defined by
(3) The asymptotic center of relative to is the set
It is well known that, in uniformly convex Banach space, consists of exactly one-point.
Lemma 1.1. ([12]) Suppose that is a uniformly convex Banach space and for all . Let and be two sequence of such that , and hold for . Then .
Definition 1.2. Let . A sequence in is called an approximate fixed point sequence (or a.f.p.s) for provided that as .
Definition 1.3. A multivalued mapping is called demiclosed at if for any sequence in weakly convergent to and strongly convergent to , we have .
The following is the multi-valued version of condition of Senter and Dotson [13].
Definition 1.4. A multivalued mapping is said to satisfy condition(I), if there is a nondecreasing function with and for all such that for all .
Lemma 1.5. ([16]) Let and . Then the following are equivalent.
(1) (2) . (3)
Moreover, .
Now we give the definition of multi-valued generalized nonexpansive mapping satisfying condition :
Definition 1.6. Let be a nonempty subset of a Banach space . A mapping is called a multi-valued generalized nonexpansive mapping satisfying condition if there exists an such that for each ,
We say that satisfies condition (E) on whenever satisfies for some .
Every multi-valued nonexpansive mapping satisfies condition (E_1) (see [2]). Moreover, if z\in K is a fixed point of the mapping T:K\to {cb}(K), and this mapping satisfies condition (E{\mu}) on K, then for all x\in K, d(z,Tx)\leq |z-x|. In other words, T is a quasi-nonexpansive mapping.
Proposition 1.7. [5] Let be a mapping satisfying condition . Then, satisfies condition .
II. CONVERGENCE OF MULTI-VALUED GENERALIZED NONEXPANSIVE MAPPINGS
In this section, we prove weak and strong convergence theorems for (1.1) iterative scheme of multi-valued generalized nonexpansive mappings satisfying condition in uniformly convex Banach space.
Lemma 2.1. Let be a nonempty closed convex subset of a uniformly convex Banach space . Let be a multi-valued mapping such that and is a Garsia-Falset generalized nonexpansive mapping. Let be a sequence generated by (1.1). Then exists for all .
Proof. Let . By Lemma 1.5, and . Since is a Garsia-Falset generalized nonexpansive mapping, then is a quasi-nonexpansive mapping. Now, for any , we have
Next by (1.1), we have
By (2.1), we have
and also we have
By (2.1), (2.2) and (2.3), we have
By (2.4), we have
By (2.1)-(2.5), we have
This implies that {| x_n - p|} is bounded and non-increasing for all p\in F(T). It follows that \lim_{n\to \infty} | x_n - p| exists.
Theorem 2.2. Let be a nonempty closed convex subset of a uniformly convex Banach space . Let be a multi-valued mapping and is a generalized nonexpansive mapping satisfying condition (E). Let be a sequence generated by (1.1). Then if and only if is bounded and .
Proof. Suppose and let . By Lemma 2.1, exists and is bounded. Put
From (2.2)-(2.5), we have
Also
and
Also we have the following inequalities
and
On taking on both sides of the all above inequalities, we obtain that
and so
By Lemma 1.1, we have
Now
Making and from (2.11) we get
So by from (2.9) we have
Then
Making and from (2.11), we get
Hence together with (2.10) we have
Thus
Consequently
Thus from (2.7), (2.8), (2.12) and by Lemma 1.1 we have
which implies that
Conversely, suppose that is bounded and . Let . Then we have
Using the definition of asymptotic center we have
This implies that for . Since is uniformly Banach space, is consists of a unique element. Thus, we have . Hence .
In the next result, we prove our strong convergence theorems as follows.
Theorem 2.3. Let be a nonempty compact convex subset of a uniformly convex Banach space . Let be a multi-valued mapping such that and is a generalized nonexpansive mapping satisfying condition (E). Let be a sequence generated by (1.1). Then converges strongly to a fixed point of .
Proof. , so by Theorem 2.2, we have . Since is compact, there exists a subsequence of such that as for some . Because is a generalized nonexpansive mapping satisfying condition , one can find some real constant , such that
As , on taking limit as , we get i.e. . So converges strongly to a fixed point of .
The proof of the following result is elementary and hence omitted.
Theorem 2.4. Let be a nonempty closed convex subset of a uniformly convex Banach space . Let be a multi-valued mapping such that is a generalized nonexpansive mapping satisfying condition . be a sequence generated by (1.1). If and , then converges strongly to a fixed point of .
Theorem 2.5. Let be a nonempty closed convex subset of a uniformly convex Banach space . Let be a multi-valued mapping satisfying condition (I) such that . be a sequence generated by (1.1). If is a generalized nonexpansive mapping satisfying condition (E), then converges strongly to a fixed point of .
Proof. By Lemma 2.1, we have \lim_{n\to \infty} |x_n - p| exists and for all . Put for some . If then the result follows. Suppose that . Then
It follows that
exists. We show that it follows . From Theorem 2.2 . As , by Theorem 2.2 and condition (I) we have . That is, . Since is a nondecreasing function satisfying and for all , we have . All the conditions of Theorem 2.4 are satisfied, therefore by its conclusion converges strongly to a fixed point of . The proof is completed.
Finally, we prove the weak convergence of the iterative scheme (1.1) for multivalued generalized nonexpansive mappings satisfying condition in a uniformly convex Banach space satisfying Opial's condition.
Theorem 2.6. Let be a real uniformly convex Banach space satisfying Opial's condition and be a nonempty closed convex subset of . Let be a multi-valued mapping such that . Suppose is a generalized nonexpansive mapping satisfying condition (E) and is demi-closed with respect to zero. Then defined by (1.1) converges weakly to a fixed point of .
Proof. Let . By Lemma 2.1, the sequence is bounded and exists for all . Since is uniformly convex, is reflexive. By the reflexivity of , there exists a subsequence of such that converges weakly to some . Since is demi-closed with respect to zero, . We prove that is the unique weak limit of . Let one can find another weakly convergent subsequence of with weak limit say and . Again . From the Opial's property and Lemma 2.1, we obtain
which is a contradiction. So, . Therefore converges weakly to a fixed point of . This completes the proof.
III. EXAMPLE
Example 3.1. Let endowed with usual norm in and be defined by
If , then . For , then . We show that is generalized nonexpansive mapping satisfying condition with . We consider the following cases:
Case I: Let and . We have
Case II: Let and . We have
Case III: Let and . One has
Thus, is generalized nonexpansive mapping satisfying condition with fixed point.
Finally, let us prove that does not satisfy condition (C). Indeed, if we take then
Thus does not satisfy Suzuki's condition .
Let for all and be . We compute that the sequence generated by iterative scheme (1.1) converge to fixed point 0 of the multi-valued generalized nonexpansive mapping satisfying condition defined in Example 3.1 which is shown by the Figure 1.
IV. CONCLUSIONS
We study the convergence of (1.1)-iteration process to fixed for the multi-valued generalized nonexpansive mapping satisfying condition in uniformly convex Banach space. Moreover, we give an illustrative numerical example that is multi-valued generalized nonexpansive mapping satisfying condition but is not Suzuki generalized nonexpansive mapping, as in Example 3.1 of this paper.
