Abstract
In this paper, we propose and study an averaged Halpern-type algorithm for approximating the solution of a common fixed-point problem for a couple of nonexpansive and demicontractive mappings with a variational inequality constraint in the setting of a Hilbert space. The strong convergence of the sequence generated by the algorithm is established under feasible assumptions on the parameters involved. In particular, we also obtain the common solution of the fixed point problem for nonexpansive or demicontractive mappings and of a variational inequality problem. Our results extend and generalize various important related results in the literature that were established for two pairs of mappings: (nonexpansive, nonspreading) and (nonexpansive, strongly quasi-nonexpansive). Numerical tests to illustrate the superiority of our algorithm over the ones existing in the literature are also reported.
Keywords:
Hilbert space; nonexpansive mapping; strictly pseudocontractive mapping; quasi-nonexpansive mapping; strongly quasi-nonexpansive mapping; nonspreading mapping; demicontractive mapping; averaged Halpern algorithm; fixed point; common fixed point; strong convergence; variational inequality MSC:
47H10; 47H09; 47J25; 47J20; 49J40; 65K15
1. Introduction
Let be a real Hilbert space with norm and inner product Let be a closed convex set, and consider the self-mapping Throughout this paper, the set of all fixed points of G in D is denoted by
The mapping G is said to be as follows:
- (a)
- Nonexpansive if
- (b)
- Quasi-nonexpansive if and
- (c)
- β-demicontractive if , and there exists a positive number such thatfor all and .
- (d)
- Strongly quasi-nonexpansive if G is quasi-nonexpansive, and whenever is a bounded sequence such that for some
By the previous definitions, it is obvious that any nonexpansive mapping G with is quasi-nonexpansive, any strongly quasi-nonexpansive is quasi-nonexpansive, and that any quasi-nonexpansive mapping is demicontractive too, but the reverse cases are no more true, as illustrated by the next example.
Example 1
([1]). Let be the real line with the usual norm, and let Define F on D by
Then, F is -demicontractive, but F is neither nonexpansive nor quasi-nonexpasive (and hence not strongly quasi-nonexpansive).
There are several papers in the literature that are devoted to the approximation of common fixed points of nonexpansive-type mappings. For example, in order to approximate the common fixed points of a pair of nonexpansive self-mappings with , Takahashi and Tamura [2] considered the following iterative procedure:
for which they established a weak convergence theorem.
Moudafi [3] considered a slightly different Krasnoselsij–Mann iterative procedure for the same problem that he called a “hierarchical fixed-point problem”:
where and are assumed to be nonempty.
Furthermore, Iemoto and Takahashi [2] considered the problem of approximating the common fixed points of a nonexpansive mapping T and of a nonspreading mappings S in a Hilbert space, and they utilized the iterative scheme
for which they formulated and proved some weak convergence theorems.
Ceng and Yuan [4] introduced and investigated composite inertial gradient-based algorithms with a line-search process for solving a variational inequality problem and a common fixed-point problem for finitely many nonexpansive mappings and a strictly pseudocontractive mapping in the framework of infinite-dimensional Hilbert spaces. A modified implicit extragradient iteration has been used by Ceng and Yuan [5] for finding a common solution of the common fixed-point problem of a countable family of nonexpansive mappings, a general system of variational inequalities, and a variational inclusion in a uniformly convex and q-uniformly smooth Banach space with .
To the best of our knowledge, the are no research works regarding the solution of variational inequality problems and common fixed-point problems in the class of demicontractive mappings. Starting from this background, our aim in this paper is to solve the common fixed-point problem in the setting of Hilbert spaces for the case of the larger class of demicontractive mappings, thus extending and unifying the main results in Cianciaruso et al. [6], Falset et al. [7], Lemoto and Takahashi [8], and many others.
Our main result (Theorem 1) provides a convergence theorem for an averaged iterative Halpern-type algorithm used to approximate a solution of the common fixed-point problem for a pair consisting of a nonexpansive mapping and a demicontractive mapping, which also solves a certain variational inequality problem.
Moreover, using Theorem 2, we extend Theorem 1 to the case when the averaged iterative Halpern-type algorithm is used to approximate a solution of the common fixed-point problem for a pair consisting of a k-strictly pseudocontractive mapping and a demicontractive mapping, with a variational inequality constraint.
In order to validate the effectiveness of our general theoretical results, we provide some appropriate numerical experiments, corresponding to part (iii) of Theorem 1, which are reported in Section 4. These results clearly illustrate the progress of our convergence results over the existing literature.
2. Preliminaries
We recall some important lemmas used in the proofs of our main results. The following two lemmas are taken from Berinde [9].
Lemma 1
(Berinde [9]). Let be a real Hilbert space and be a closed and convex set. If is β-demicontractive, then the Krasnoselskij perturbation of G is -demicontractive.
Lemma 2
(Berinde [9]). Let be a real Hilbert space and be a closed and convex set. If is β-demicontractive, then for any ,
is quasi-nonexpansive.
Lemma 3
(Zhou [10]). Let C be a nonempty subset of a real Hilbert space and let be a k-strictly pseudocontractive mapping. Then, the averaged mapping is nonexpansive for any .
Lemma 4
(Berinde [1]). Let be a real Hilbert space, be a closed and convex set, and be a mapping. Then, for any we have
Lemma 5
(Xu [11]). Let be a sequence of non-negative numbers such that
where is a sequence in , and is a sequence in such that
Then,
Lemma 6
(Maingé [12]). Let be a sequence of real numbers that has a subsequence which satisfies for all There exists an increasing sequence of integers satisfying
3. Fixed Points and Variational Inequalities
In this section, we state and prove our main results. To do this, we first consider the following property.
A mapping G satisfies Condition A if whenever is a bounded sequence such that
for some and
Theorem 1.
Let be a Hilbert space and C be a closed convex subset of Let be a nonexpansive mapping and be a β-demicontractive mapping satisfying Condition A such that is demiclosed at Assume that Let and be sequences in such that and Let be the sequence generated in the following manner:
Then, the following assertions hold:
- (I)
- If and then strongly converges to , which is the unique point in that solves the variational inequalityi.e.,
- (II)
- If and then converges strongly to , which is the unique point in that solves the variational inequalityi.e.,
- (III)
- If then strongly converges to , which is the unique solution of the variational inequalityi.e.,
Proof.
Since G is a -demicontractive mapping, by Lemma 2, it follows that the averaged mapping is quasi-nonexpansive for Clearly, is demiclosed at zero. One can also see that is strongly quasi-nonexpansive from the fact that G satisfies Condition A. Now, we can write
Let w be a common fixed point of F and Define
For all
that is, is a bounded sequence.
Furthermore, since as we have
To prove (I), for all , compute
where , and
We see that , , and Hence, by Lemma 5, we conclude that This and (14) imply that
Moreover,
and thus, from the hypothesis that we also have
We can conclude that Hence, any weak limit of is in
Let be a subsequence of such that
and Thus, and
which is nonpositive by the definition of We obtain
Finally,
where
Now, Lemma 5 implies that
To prove (II), let be the unique solution of the variational inequality (10) and compute
We have two cases, namely, the sequence is eventually not increasing or not eventually not increasing.
Case (II) 1. There exists such that for all Put
Since we have
Since is not eventually increasing, exists. Hence, by (12), (13), and the fact that both sequences and converging to 0 and are strongly quasi-nonexpansive, we obtain
Hence,
From the strong quasi-nonexpansiveness of , we conclude that
The rest of the proof is similar to the proof of (I).
Case (II) 2. The sequence is not eventually nonincreasing. There exists a subsequence such that for all By Lemma 6, there exists an increasing sequence of integers satisfying
Thus,
Using (18) with instead of we obtain
The strong quasi-nonexpasiveness of implies
Since is demiclosed at we conclude that
As a consequent, we have
Dividing by gives
Since by (21), we obtain
From (19), we obtain that
Similar to (II), we have two cases.
Case (III) 1. is eventually nonincreasing. There exists such that for all Thus, exists. We have
Since we have
Moreover,
Therefore,
It follows that
Thus,
From the strong quasi-nonexpansiveness of , it follows that
Since we obtain
Choose a subsequence such that
Since both F and are demiclosed at 0 and by (26) and (27), one can conclude that Hence, by the definition of we obtain (28). Furthermore, from (26) and (27), we have
Finally,
Putting
the conclusion follows from Lemma 5.
Case (III) 2. The sequence is not eventually nonincreasing, i.e., there exists a subsequence such that
Lemma 6 implies that there exists an increasing sequence of integers satisfying (19). Therefore,
We obtain
From (29), and since
We also obtain that
Similar to (28) changing with we have
Now we compute,
Consequently,
and dividing by we obtain
Now by (19), we conclude that □
A more general result can be proven similarly to the proof of Theorem 1.
Theorem 2.
Let be a Hilbert space and C be a closed convex subset of Let be a k-strictly pseudocontractive mapping and be a β-demicontractive mapping satisfying Condition A such that is demiclosed at Assume that Let and be sequences in such that and Let be a sequence generated in the following manner:
where , with .
Then, the following assertions hold:
- (I)
- If then strongly converges to that is the unique point in that solves the variational inequalityi.e.,
- (II)
- If then converges strongly to that is the unique point in that solves the variational inequalityi.e., .
- (III)
- If then strongly converges to that is the unique solution of the variational inequalityi.e.,
Proof.
Since is k-strictly pseudocontractive, by Lemma 3, we have that the averaged mapping
is nonexpansive for any and that . Hence, and satisfy the conditions of the operators in Theorem 1. Now, the rest of the proof is similar to that of Theorem 1 by replacing F and in Theorem 1 by and respectively. □
Remark 1.
Most of the results obtained in Takahashi and Tamura [2], Moudafi [3], Cianciaruso et al. [6], Falset et al. [7], and Lemoto and Takahashi [8] could be obtained as corollaries of our main results or could be slightly improved by considering our averaged Halpern-type algorithm (8).
We illustrate this fact in the following for four different instances:
- If F is nonexpansive and G is nonspreading, then by Theorem 1, we obtain an improvement of Theorem in Lemoto and Takahashi [8] in the sense that for our averaged Halpern-type algorithm (8), we have strong convergence, while for the Krasnoselsij–Mann iterative procedure (5), only weak convergence was obtained by Lemoto and Takahashi [8];
- If F is nonexpansive and G is nonspreading, then by Theorem 1, we obtain the main result (i.e., Theorem 14) in Cianciaruso et al. [6];
- If F and G are both nonexpansive, then by Theorem 1, we obtain an improvement of the main result in Takahashi and Tamura [2] in the sense that for our averaged Halpern-type algorithm (8) we obtain strong convergence, while for the Krasnoselsij–Mann iterative procedure (5), only weak convergence is obtained by Takahashi and Tamura [2];
- If F is nonexpansive and G is strongly quasi-nonexpansive, then by Theorem 1, we obtain the main result (i.e., Theorem 3) in Falset et al. [7];
4. Numerical Illustrations
In this section, we consider some numerical examples to illustrate the numerical behaviour of Algorithm (8), for approximating a common fixed point for a nonexpansive mapping and a -demicontractive mapping.
Example 2.
Let be the real line with the usual norm and Define F and G on D as follows:
and
Note that F is nonexpansive. It is easy to check that
Now, we show that G is -demicontractive but neither quasi-nonexpansive nor nonexpansive (and hence, G is neither strongly quasi-nonexpansive nor nonspeading).
Indeed, for any and (the fixed point of G), we have
for any For we have
This holds when Thus, G is -demicontractive. If we take and then we obtain
Therefore, G is not quasi-nonexpansive nor nonexpansive.
Therefore, we cannot apply any of the results in Takahashi and Tamura [2], Moudafi [3], Cianciaruso et al. [6], Falset et al. [7], Lemoto and Takahashi [8], etc., to solve the common fixed-point problem for F and G.
If we put
then all assumptions in Theorem 1 part (iii) are satisfied. This implies that the sequence generated by the algorithm (8) converges to , which is the unique common fixed point of F and G.
Several numerical experiments were conducted in MATLAB R2022a using the algorithm (8) with different values of the parameters.
The numerical results for three initial values, taken arbitrarily from the set D and with , are presented in Table 1.
Table 1.
Numerical results for , with initial values , and .
Table 2 shows numerical results for three initial values taken arbitrarily from the set D, with and One can see that for x near the common fixed point and large r, the iterations converge faster.
Table 2.
Numerical results for , with initial values , and .
We note that for the initial value , one obtains the solution of the split common fixed point after 57 iterations, while for the initial value , one obtains the same solution after 63 iterations.
5. Conclusions
- We have introduced an averaged iterative Halpern-type algorithm intended to find a common fixed point for a pair consisting of a nonexpansive mapping and a demicontractive mapping, which also solves a certain variational inequality problem;
- We established a strong convergence theorem (Theorem 1) for the sequence generated by our algorithm;
- We extended Theorem 1 to the more general case of a pair of mappings consisting of a k-strictly pseudocontractive mapping F and a -demicontractive mapping G (Theorem 2) by considering the double-averaged Halpern-type algorithm (34). Moreover, Theorem 2 extends Theorem 1 to the case when the averaged iterative Halpern-type algorithm is used to approximate a solution of the common fixed-point problem for the pair consisting of a k-strictly pseudocontractive mapping and a demicontractive mapping, with a variational inequality constraint.
- We validated the effectiveness of our general theoretical results through some appropriate numerical experiments, corresponding to part (iii) of Theorem 1, which are reported in Section 4. These results clearly illustrate the progress of our convergence results over the existing literature.
- For other related results, we refer the reader to Agwu et al. [13], Araveeporn et al. [14], Ceng and Yao [15], Ceng and Yuan [4], Jaipranop and Saejung [16], Kraikaew and Saejung [17], Mebawondu et al. [18], Nakajo et al. [19], Petruşel and Yao [20], Rizvi [21], Sahu et al. [22], Thuy [23], Uba et al. [24], Xu [25], Yao et al. [26,27], Yotkaew et al. [28] etc.
- Our future scope is to apply the obtained results in order to solve some relevant real-world problems.
Author Contributions
Conceptualization, V.B.; Methodology, V.B.; Software, K.S.; Formal analysis, K.S.; Investigation, K.S.; Writing—original draft, K.S.; Writing—review & editing, V.B.; Supervision, V.B. All authors have read and agreed to the published version of the manuscript.
Funding
This research received no external funding.
Data Availability Statement
Data are contained within the article.
Acknowledgments
The first draft of this paper was carried out during the first author’s short visit (December 2023) at the Department of Mathematics, King Fahd University of Petroleum and Minerals, Dhahran, Saudi Arabia. He is grateful to Monther Alfuraidan, the Department of Mathematics, for the invitation and for providing excellent facilities during the visit.
Conflicts of Interest
The authors declare that they have no conflicts of interest.
References
- Berinde, V. On a useful lemma that relates quasi-nonexpansive and demicontractive mappings in Hilbert spaces. Creat. Math. Inform. 2024, 33, 7–21. [Google Scholar] [CrossRef]
- Takahashi, W.; Tamura, T. Convergence theorems for a pair of nonexpansive mappings. J. Convex Anal. 1998, 5, 45–56. [Google Scholar]
- Moudafi, A. Krasnoselski-Mann iteration for hierarchical fixed-point problems. Inverse Probl. 2007, 23, 1635–1640. [Google Scholar] [CrossRef]
- Ceng, L.-C.; Yuan, Q. Composite inertial subgradient extragradient methods for variational inequalities and fixed point problems. J. Inequal. Appl. 2019, 274, 20. [Google Scholar] [CrossRef]
- Ceng, L.-C.; Yuan, Q. Variational inequalities, variational inclusions and common fixed point problems in Banach spaces. Filomat 2020, 34, 2939–2951. [Google Scholar] [CrossRef]
- Cianciaruso, F.; Marino, G.; Rugiano, A.; Scardamaglia, B. On strong convergence of Halpern’s method using averaged type mappings. J. Appl. Math. 2014, 2014, 473243. [Google Scholar] [CrossRef]
- Falset, J.G.; Llorens-Fuster, E.; Marinob, G.; Rugiano, A. On strong convergence of Halpern’s method for quasi-nonexpansive mappings in Hilbert spaces. Math. Model. Anal. 2016, 21, 63–82. [Google Scholar] [CrossRef]
- Iemoto, S.; Takahashi, W. Approximating common fixed points of nonexpansive mappings and nonspreading mappings in a Hilbert space. Nonlinear Anal. 2009, 71, e2082–e2089. [Google Scholar] [CrossRef]
- Berinde, V. Approximating fixed points of demicontractive mappings via the quasi-nonexpansive case. Carpathian J. Math. 2023, 39, 73–84. [Google Scholar] [CrossRef]
- Zhou, H. Convergence theorems of fixed points for κ-strict pseudo-contractions in Hilbert spaces. Nonlinear Anal. 2008, 69, 456–462. [Google Scholar] [CrossRef]
- Xu, H. Iterative algorithms for nonlinear operators. J. London Math. Soc. 2002, 66, 240–256. [Google Scholar] [CrossRef]
- Maingé, P.E. Strong convergence of projected subgradient methods for nonsmooth and nonstrictly convex minimization. Set-Valued Anal. 2008, 16, 899–912. [Google Scholar] [CrossRef]
- Agwu, I.K.; Işık, H.; Igbokwe, D.I. Weak and strong convergence theorems for a new class of enriched strictly pseudononspreading mappings in Hilbert spaces. Fixed Point Theory Algorithms Sci. Eng. 2024, 14. [Google Scholar] [CrossRef]
- Araveeporn, A.; Kheawborisut, A.; Kangtunyakarn, A. Approximating G-variational inequality problem by G-subgradient extragradient method in Hilbert space endowed with graphs. Carpathian J. Math. 2023, 39, 359–369. [Google Scholar] [CrossRef]
- Ceng, L.-C.; Yao, J.-C. An extragradient-like approximation method for variational inequality problems and fixed point problems. Appl. Math. Comput. 2007, 190, 205–215. [Google Scholar] [CrossRef]
- Jaipranop, C.; Saejung, S. On Halpern-type sequences with applications in variational inequality problems. Optimization 2022, 71, 675–710. [Google Scholar] [CrossRef]
- Kraikaew, R.; Saejung, S. Strong convergence of the Halpern subgradient extragradient method for solving variational inequalities in Hilbert spaces. J. Optim. Theory Appl. 2014, 163, 399–412. [Google Scholar] [CrossRef]
- Mebawondu, A.A.; Jolaoso, L.O.; Abass, H.A.; Oyewole, O.K.; Aremu, K.O. A strong convergence Halpern-type inertial algorithm for solving system of split variational inequalities and fixed point problems. J. Appl. Anal. Comput. 2021, 11, 2762–2791. [Google Scholar]
- Nakajo, K.; Shimoji, K.; Takahashi, W. Strong convergence theorems of Halpern’s type for families of nonexpansive mappings in Hilbert spaces. Thai J. Math. 2009, 7, 49–67. [Google Scholar]
- Petruşel, A.; Yao, J.-C. An extragradient iterative scheme by viscosity approximation methods for fixed point problems and variational inequality problems. Cent. Eur. J. Math. 2009, 7, 335–347. [Google Scholar] [CrossRef]
- Rizvi, S.H. A strong convergence theorem for split mixed equilibrium and fixed point problems for nonexpansive mappings. J. Fixed Point Theory Appl. 2018, 20, 22. [Google Scholar] [CrossRef]
- Sahu, D.R.; Kumar, A.; Wen, C.-F. S-iteration process of Halpern-type for common solutions of nonexpansive mappings and monotone variational inequalities. Filomat 2019, 33, 1727–1746. [Google Scholar] [CrossRef]
- Thuy, N.T.T. A strongly convergent shrinking descent-like Halpern’s method for monotone variational inequality and fixed point problems. Acta Math. Vietnam. 2014, 39, 379–391. [Google Scholar] [CrossRef]
- Uba, M.O.; Onyido, M.A.; Udeani, C.I.; Nwokoro, P.U. A hybrid scheme for fixed points of a countable family of generalized nonexpansive-type maps and finite families of variational inequality and equilibrium problems, with applications. Carpathian J. Math. 2023, 39, 281–292. [Google Scholar] [CrossRef]
- Xu, H.-K. Viscosity method for hierarchical fixed point approach to variational inequalities. Taiwan. J. Math. 2010, 14, 463–478. [Google Scholar] [CrossRef]
- Yao, Y.H.; Liou, Y.-C.; Yao, J.-C. An extragradient method for fixed point problems and variational inequality problems. J. Inequal. Appl. 2007, 2007, 38752. [Google Scholar] [CrossRef]
- Yao, Y.H.; Shahzad, N.; Postolache, M.; Yao, J.-C. Convergence of self-adaptive Tseng-type algorithms for split variational inequalities and fixed point problems. Carpathian J. Math. 2024, 40, 753–768. [Google Scholar] [CrossRef]
- Yotkaew, P.; Rehman, H.U.; Panyanak, B.; Pakkaranang, N. Halpern subgradient extragradient algorithm for solving quasimonotone variational inequality problems. Carpathian J. Math. 2022, 38, 249–262. [Google Scholar] [CrossRef]
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