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Viscosity iteration algorithm for a ϱ-strictly pseudononspreading mapping in a Hilbert space
Journal of Inequalities and Applications volume 2013, Article number: 80 (2013)
Abstract
In this paper, we discuss the strong convergence of the viscosity approximation method in Hilbert spaces relatively to the computation of fixed points of an operator in ϱ-strictly pseudononspreading. Under suitable conditions, some strong convergence theorems are proved. Our work improves previous results for nonspreading mappings.
1 Introduction
Throughout this paper, we always assume that H is a real Hilbert space endowed with an inner product and its induced norm denoted by and , respectively. Let C be a nonempty, closed and convex subset of H and let be a nonlinear mapping.
Definition 1.1 A is said to be
-
(i)
monotone if
-
(ii)
strongly monotone if there exists a constant such that
For such a case, A is said to be α-strongly-monotone;
-
(iii)
inverse-strongly monotone if there exists a constant such that
For such a case, A is said to be α-inverse-strongly-monotone;
-
(iv)
k-Lipschitz continuous if there exists a constant such that
Remark 1.2 Let , where B is a θ-Lipschitz and η-strongly monotone operator on H with and f is a Lipschitz mapping on H with coefficient , . It is a simple matter to see that the operator F is -strongly monotone over H, i.e.,
The classical variational inequality, which is denoted by , is to find such that
The variational inequality has been extensively studied in literature (see [1–7] and the references therein).
A mapping is said to be nonexpansive if
A mapping T is said to be firmly nonexpansive if
see, for instance, [8–11]. It is known that a mapping is firmly nonexpansive if and only if
T is said to be nonspreading in [12] if
It is shown in [13] that (1.2) is equivalent to
These mappings are generalization of a firmly nonexpansive mapping in a Hilbert space. is said to be firmly nonexpansive if
See [14–17] for more information on firmly nonexpansive mappings.
Definition 1.3 is called demicontractive on H if there exists a constant such that
Definition 1.4 [18]
is ϱ-strictly pseudononspreading if there exists such that
for all .
Remark 1.5 It is easy to claim that firmly nonexpansive mapping ⇒ nonspreading mapping ⇒ ϱ-strictly pseudononspreading mapping.
Indeed, from the definition of those mappings, , we obtain

Clearly, every nonspreading mapping is ϱ-strictly pseudononspreading. The following example shows that the class of ϱ-strictly pseudononspreading mappings is more general than the class of nonspreading mappings. Let us give an example of a ϱ-strictly pseudononspreading mapping satisfying the condition of Definition 1.4.
Example 1.6 Let with the norm defined by
, and let C be an orthogonal subspace of X (i.e., , we have ). Then it is obvious that C is a nonempty closed convex subset of X. Now, for any , define a mapping as follows:
To see that T is -strictly pseudononspreading, we break the process of proof into three cases. ,
Case 1: and , observe that
since and .
Case 2: and , we obtain , and .
Hence,

Case 3: and , we have , and . Thus
From (1), (2) and (3), we obtain that T is -strictly pseudononspreading, i.e.,
We can easily know that , where is defined by the set of fixed points of T.
T is not nonspreading, since for , , we have , and , we obtain
Since our class of maps contains the class of nonspreading mappings, it also contains the class of firmly nonexpansive mappings.
Remark 1.7 [19]
Let T be an α-demicontractive mapping on H with and for :
(A1) T α-demicontractive is equivalent to
(A2) if .
Remark 1.8 Observe that if T is ϱ-strictly pseudononspreading and , then and , we obtain
Thus, every ϱ-strictly pseudononspreading mapping with a nonempty fixed point set is demicontractive (see [20, 21]).
Remark 1.9 According to Remark 1.7(A1) and the fact that the ϱ-strictly pseudononspreading mapping of T is demicontractive, let . Then we obtain
In 2011, Osilike and Isiogugu [12] introduced the following propositions and proved a strong convergence theorem somewhat related to a Halpern-type iteration algorithm for a ϱ-strictly pseudononspreading mapping in Hilbert spaces.
Proposition 1.10 [12]
Let C be a nonempty closed convex subset of a real Hilbert space H and let be a ϱ-strictly pseudononspreading mapping. If , then it is closed and convex.
Proposition 1.11 [12]
Let C be a nonempty closed convex subset of a real Hilbert space H and let be a ϱ-strictly pseudononspreading mapping. Then is demiclosed at 0.
Theorem 1.12 [12]
Let C be a nonempty closed convex subset of a real Hilbert space H and let be a ϱ-strictly pseudononspreading mapping with a nonempty fixed point set . Let and let be a real sequence in such that and . Let , and be sequences in C generated from an arbitrary by
Then and converge strongly to , where is a metric projection of H onto .
In 2010, Tian [22] introduced the following theorem for finding an element of a set of solutions to the fixed point of a nonexpansive mapping in a Hilbert space.
Theorem 1.13 [22]
Let f be a contraction on a real Hilbert space H and T be a nonexpansive mapping on H. Starting with an arbitrary initial , define a sequence generated by
where B is a θ-Lipschitz and η-strongly monotone operator on H with , and . Assume also that a sequence is a sequence in satisfying the following conditions:
(c1) and ,
(c2) or .
Then the sequence generated by (1.8) converges strongly to the unique solution of the variational inequality
In this paper, we combine Theorem 1.12 and Theorem 1.13 and introduce the following general iterative algorithm for a ϱ-strictly pseudononspreading mapping T.
Algorithm 1.14 Let be arbitrary
where is η-strongly monotone and boundedly Lipschitzian, f is an L-Lipschitz mapping on H with coefficient and , .
Under suitable conditions, some strong convergence theorems are proved in the following chapter.
2 Preliminaries
Throughout this paper, we write to indicate that the sequence converges weakly to x. implies that converges strongly to x. The following lemmas are useful for main results.
Definition 2.1 A mapping T is said to be demiclosed if for any sequence which weakly converges to y, and if the sequence strongly converges to z, then .
Lemma 2.2 [3]
Assume is a sequence of nonnegative real numbers such that
where is a sequence in and is a sequence in ℝ such that
-
(i)
,
-
(ii)
or .
Then .
Lemma 2.3 [1]
Let be a sequence of real numbers that does not decrease at infinity, in the sense that there exists a subsequence of which satisfies for all . Also, consider the sequence of integers defined by
Then is a nondecreasing sequence verifying , . It holds that , and we have
Lemma 2.4 Let K be a closed convex subset of a real Hilbert space H given and . Then if and only if the following inequality holds:
3 Main results
Let C be a nonempty closed convex subset of a real Hilbert space H and let be a -strictly pseudononspreading mapping with a common nonempty fixed point set . Let f be an L-Lipschitz mapping on H with coefficient . Assume the set is nonempty. Since is closed and convex, the nearest point projection from C onto is well defined. Recall is η-strongly monotone and θ-Lipschitzian on H with , . Let , , consider the following sequence defined by
where , , , and is a sequence in satisfying the following conditions:
(c1) ,
(c2) or .
Remark 3.1 [23]
Let H be a real Hilbert space. Let B be a θ-Lipschitzian and η-strongly monotone operator on H with , . Let , let and , then for , S is a contraction with a constant .
Before stating our main result, we introduce some lemmas for algorithm (3.1) as follows.
Lemma 3.2 The sequence is generated by (3.1) with being a ϱ-strictly pseudononspreading mapping on H and . Then is bounded.
Proof Let and . Then , we have
From and (3.2), we also have
According to (3.3), (3.1) and Remark 3.1, we obtain
Thus,
which combined with amounts to
Putting , we clearly obtain . Hence and are bounded. From (3.3), we have that is also bounded. □
Now we are in a position to claim the main result.
Theorem 3.3 Assume C is a nonempty closed convex subset of a real Hilbert space H and let be a -strictly pseudononspreading mapping with a common nonempty fixed point set . Let f be an L-Lipschitz mapping on H with coefficient and be η-strongly monotone and θ-Lipschitzian on H with , . Let , . Consider the sequences and to be sequences in C generated from an arbitrary by (3.1), where , , , and . Then and converge strongly to the unique element in verifying
which equivalently solves the following variational inequality problem:
Proof According to Lemma 3.2, it is simple to know that , and are bounded. Thus, for and and according to (3.2) and (3.1), we have
Summing (3.9) from to n and dividing by n, we obtain
Since is bounded, then there exists a subsequence of which converges weakly to . Replacing n by in (3.10), we obtain

Since and are bounded, letting in (3.11) yields
Let in (3.12). We obtain that .
Observe that since and are bounded, and , then
then
We next show that
Indeed, take of such that
where is obtained in (3.7). We may assume that as . From (3.13), we have as , then to arbitrary bounded linear functional g on H, we have
Thus, we obtain as , and . Hence, we have
Moreover, from (3.1), (3.13) and (3.14), we have

As required, finally we show that and .
According to (3.1), (3.4) and (3.16), we obtain
where ,
It is easily seen that , and . By Lemma 2.2, we conclude that as , and also converges strongly to the unique element in . In addition, the variational inequality (3.15) can be written as
So, by Lemma 2.4, it is equivalent to the fixed point equation
□
Remark 3.4 For a nonspreading mapping T, we have in Theorem 3.3 to obtain the following corollary.
Corollary 3.5 Assume C is a nonempty closed convex subset of a real Hilbert space H and let be a nonspreading mapping with a common nonempty fixed point set . Let f be an L-Lipschitz mapping on H with coefficient and be η-strongly monotone and θ-Lipschitzian on H with , . Let , , consider the sequences and to be sequences in C generated from an arbitrary by
where , , and . Then and converge strongly to the unique element in verifying
which equivalently solves the following variational inequality problem:
References
Maingé PE: Strong convergence of projected subgradient methods for nonsmooth and nonstrictly convex minimization. Set-Valued Anal. 2008, 16(7–8):899–912. 10.1007/s11228-008-0102-z
Plubtieng S, Punpaeng R: A new iterative method for equilibrium problems and fixed point problems of nonexpansive mappings and monotone mappings. Appl. Math. Comput. 2008, 197(2):548–558. 10.1016/j.amc.2007.07.075
Xu HK: Iterative algorithms for nonlinear operator. J. Lond. Math. Soc. 2002, 66(1):240–256. 10.1112/S0024610702003332
Xu HK: Viscosity approximation methods for nonexpansive mapping. J. Math. Anal. Appl. 2004, 298: 279–291. 10.1016/j.jmaa.2004.04.059
Xu HK: An iterative approach to quadratic optimization. J. Optim. Theory Appl. 2003, 116: 659–678. 10.1023/A:1023073621589
Yamada I: Hybrid steepest descent for the variational inequality problems over the intersection of fixed points sets of nonexpansive mapping. In Inherently Parallel Algorithms in Feasibility and Optimization and Their Application. Edited by: Butnariu D, Censor Y, Reich S. Elservier, New York; 2001:473–504.
Zeng LC, Schaible S, Yao JC: Iterative algorithm for generalized set-valued strongly nonlinear mixed variational-like inequalities. J. Optim. Theory Appl. 2005, 124(3):725–738. 10.1007/s10957-004-1182-z
Browder FE: Convergence theorems for sequences of nonlinear operators in Banach spaces. Math. Z. 1967, 100: 201–225. 10.1007/BF01109805
Goebel K, Kirk WA: Topics in Metric Fixed Point Theory. Cambridge University Press, Cambridge; 1990.
Goebel K, Reich S: Uniform Convexity, Hyperbolic Geometry, and Nonexpansive Mappings. Dekker, New York; 1984.
Reich S, Shoikhet D: Nonlinear Semigroups, Fixed Points, and Geometry of Domains in Banach Spaces. Imperial College Press, London; 2005.
Osilike MO, Isiogugu FO: Weak and strong convergence theorems for nonspreading-type mappings in Hilbert spaces. Nonlinear Anal., Theory Methods Appl. 2011, 74(5):1814–1822. 10.1016/j.na.2010.10.054
Iemoto S, Takahashi W: Approximating common fixed points of nonexpansive mappings and nonspreading mappings in a Hilbert space. Nonlinear Anal. 2009, 91: 2080–2089.
Baillon JB: Un théor‘eme de type ergodique pour les contractions non linéaires dans un espace de Hilbert. C. R. Acad. Sci. Paris Sér. A-B 1975, 280: A1511-A1514.
Geobel K, Kirk WA Cambridge Stud. Adv. Math. 28. In Topics in Metric Fixed Point Theory. Cambridge University Press, Cambridge; 1990:473–504.
Kurokawa Y, Takahashi W: Weak and strong convergence theorems for nonspreading mappings in Hilbert spaces. Nonlinear Anal. 2010, 73: 1562–1568. 10.1016/j.na.2010.04.060
Takahashi W, Yao J-C: Fixed point theorems and ergodic theorems for nonlinear mappings in Hilbert spaces. Taiwan. J. Math. 2011, 15(2):457–472.
Browder FE, Petryshyn WV: Construction of fixed points of nonlinear mappings in Hilbert spaces. J. Math. Anal. Appl. 1967, 20: 197–228. 10.1016/0022-247X(67)90085-6
Maingé PE: The viscosity approximation process for quasi-nonexpansive mappings in Hilbert spaces. Comput. Math. Appl. 2010, 59: 74–79. 10.1016/j.camwa.2009.09.003
Hicks TL, Kubicek JR: On the Mann iterative process in Hilbert spaces. J. Math. Anal. Appl. 1977, 59: 498–504. 10.1016/0022-247X(77)90076-2
Naimpally SA, Singh KL: Extensions of some fixed point theorems of Rhoades. J. Math. Anal. Appl. 1983, 96: 437–446. 10.1016/0022-247X(83)90052-5
Ming T: A general iterative algorithm for nonexpansive mappings in Hilbert space. Nonlinear Anal. 2010, 73: 689–694. 10.1016/j.na.2010.03.058
Deng BC, Chen T, Li ZF: Cyclic iterative method for strictly pseudononspreading in Hilbert space. J. Appl. Math. 2012., 2012: Article ID 435676. doi:10.1155/2012/435676
Acknowledgements
This work is supported in part by the National Natural Science Foundation of China (71272148), the Ph.D. Programs Foundation of Ministry of Education of China (20120032110039) and China Postdoctoral Science Foundation (Grant No. 20100470783).
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Deng, BC., Chen, T. & Li, ZF. Viscosity iteration algorithm for a ϱ-strictly pseudononspreading mapping in a Hilbert space. J Inequal Appl 2013, 80 (2013). https://doi.org/10.1186/1029-242X-2013-80
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DOI: https://doi.org/10.1186/1029-242X-2013-80
Keywords
- nonspreading mapping
- ϱ-strictly pseudononspreading
- demicontractive
- fixed point
- quasi-nonexpansive