Abstract
The concept of symmetry has played a major role in Hilbert space setting owing to the structure of a complete inner product space. Subsequently, different studies pertaining to symmetry, including symmetric operators, have investigated real Hilbert spaces. In this paper, we study the solutions to multiple-set split feasibility problems for a pair of finite families of -enriched, strictly pseudocontractive mappings in the setup of a real Hilbert space. In view of this, we constructed an iterative scheme that properly included these two mappings into the formula. Under this iterative scheme, an appropriate condition for the existence of solutions and strong and weak convergent results are presented. No sum condition is imposed on the countably finite family of the iteration parameters in obtaining our results unlike for several other results in this direction. In addition, we prove that a slight modification of our iterative scheme could be applied in studying hierarchical variational inequality problems in a real Hilbert space. Our results improve, extend and generalize several results currently existing in the literature.
1. Introduction
Fixed point theory has no doubt proven to be a rich and complex field, always giving rise to several extensions and applicable results. Nowadays, it has become incredibly convincing that this domain of study is far from reaching its end as regards procreating new ideas or connecting existing ones.
Let H be a real Hilbert space with the inner product and the induced norm . Let be closed and convex.
Definition 1
([1]). A nonlinear mapping is called β-enriched Lipschitzian if there exist and such that the following inequality
It is worthy to mention that every Lipschitz mapping is 0-enriched Lipschitzian with . However, if are chosen such that , then inequality (1) becomes
Set . Then, the last inequality becomes
Here, the average operator is L-Lipschitzian.
Remark 1.
The class of β-enriched Lipschitz mappings is between the class of Lipschitz mappings and the class of -enriched Lipschitz mappings studied in [1]. (Recall that a nonlinear mapping is called a -enriched Lipschitz mapping (or -enriched Lipschitzian) if for all , there exist and a continuous nondecreasing function , with , such that .) If , then we recover inequality (1); if then inequality (1) reduces to an important class of nonlinear mappings called enriched contraction mappings, and if in inequality (1), we obtain the class of β-enriched nonexpansive mappings. (Recall that a nonlinear mapping is called a β-enriched nonexpansive mapping if for all , there exists such that . Every nonexpansive mapping is 0-enriched nonexpansive).
These two classes of mappings were introduced in [2,3] by Berinde. He proved that if K is a nonempty, bounded, closed and convex subset of a real Hilbert space H and is a β-enriched nonexpansive and demicompact mapping, then Γ has a fixed point in K.
Example 1.
Consider denote the 2-dimensional Euclidean plane. Define by
Then, for all and , we have
Hence, Γ is a 1-enriched Lipschitz mapping.
If a mapping is -enriched, strictly pseudocontractive (for short, -ESPCM), then for all and such that the following inequality holds:
For some special cases in which in one part and in another part, inequality (4) reduces to two classes of mappings known as strictly pseudocontractive mappings (recall that a nonlinear mapping is called a strictly pseudocontractive mapping if for all such that ) and -enriched nonexpansive mappings, respectively. Hence, the class of -ESPCM is larger than the class of -enriched nonexpansive mappings and the class of k-strictly pseudocontractive mappings; see [1,4,5,6,7,8,9,10,11,12,13,14,15] for more details.
Now, by substituting into inequality (4) and simplifying, we obtain
where , and is as defined in inequality (3). Note that the average operator is k-strictly pseudocontractive.
In [10], Berinde introduced the concept of -ESPCM and showed that this class of mappings is more general than the class of k-strictly pseudocontractive mappings studied in [12,16]. It is of interest to note that the Lipschitz properties enjoyed by the class of strictly pseudocontractive mappings (due to the structure of their definition) are far from the reach of Lipschitz pseudocontractive mappings.
Example 2.
Let be equipped with the Euclidean norm, and we have the following:
Define the mapping by
It is not difficult to see that X is a uniformly convex Banach space and that C is a bounded, closed and convex subset of X. Let and . It is shown in [1] that Γ is a -enriched strictly pseudocontractive mapping and
Remark 2.
If, we take in inequality (4), then we obtain a class of nonlinear mappings called β-enriched pseudocontraction mappings. Thus, the class of -ESPCM is smaller than the class of β-enriched pseudocontractive mappings.
Let and be two Hilbert spaces and be nonempty, closed and convex subsets of and , respectively. Consider two nonlinear mappings: and . The split feasibility problem (for short, SFP) is given as follows: find a point such that
where is a bounded operator. If the solution of (6) exists, then it can be shown that solves (6) if and only if it solves the following fixed point equation:
where and are projections of , respectively, is a positive constant, and represents the adjoint of B. When W and V in (6) (where and are closed and convex) are sets of fixed points of nonlinear mappings and , then the split feasibility problem is also called the common fixed point problem (for short, SCFPP) (see, [17,18]); that is, given m nonlinear operators and n nonlinear operators , the SCFPP for finitely many operators, which is desirable in practical situations, is to find a point
In a special case for which and , the SCFPP reduces to the multiple-set split feasibility problem (for short, MSSFP): that is, to find such that , where and are nonempty, closed and convex subsets of and , respectively. We shall denote the solution to problem (8) in this special case by .
In the setup of a real Hilbert space, problems (6) and (8) have been studied extensively by different authors; see, for example, [17,18,19,20,21,22,23,24,25,26,27,28].
In [22], Censor and Segal introduced the following algorithm:
which solves problem (6) for directed operators.
Recently, Chang et al. [28] introduced and studied the following fixed point algorithm: for an arbitrary , let be a sequence generated iteratively as follows:
where is a countably infinite family of real sequences in ; , is a constant; is an infinite family of -strictly pseudononspreading mappings; is a finite family of -strictly pseudononspreading mappings; and . Using (10), they proved weak and strong convergence theorems.
Subsequently, different researchers have extended and generalized (9) in different directions. Alsulami et al. [19] proved some strong convergence theorems for finding a solution of problem (6) in Banach spaces; in [23], (9) was extended to the case of quasi-nonexpansive mappings, which was later extended to the case of demicontractive mappings in [24,25]; Takahashi generalized the results in [22] to Banach spaces. For more works relating to split feasibility problems, the interested reader is referred to [20,25,26,27] and the references therein.
Symmetry is an important concept used in Hilbert spaces and plays a crucial role in the structure of a complete inner product space. Also, the concept of symmetry, which includes symmetric operators, has been investigated in real Hilbert spaces. In this paper, inspired and motivated by the results in [29,30], we propose a horizontal iteration technique for solving the multiple-set split feasibility problem in the more general cases of a pair of finite families of -enriched strictly pseudocontractive mappings in an infinite-dimensional Hilbert space and establish strong and weak convergence theorems for approximating a common solution for the aforementioned problem. From recent studies, it has been observed (see, for instance, [31]) that iteration techniques involving more than one auxiliary mapping are more robust against certain numerical errors than the ones in which only one auxiliary mapping is used. Consequently, our method is more efficient in application than some of the methods in related works. Finally, it is worth mentioning that the technique presented in this paper does not require a ’sum condition’, which has been the case for most of the iterative methods in this direction. Concerning application, we consider the algorithm for hierarchical variational inequality problems through slightly modifying our iterative scheme. Our results improve and generalize several results in the current literature.
2. Preliminary
In the following, we first recall some notations, definitions and known results that are currently in the literature, which will be required to prove the main results of this present paper.
Assumption 1.
Throughout the remaining sections, H, K, and shall represent a real Hilbert space, a nonempty closed and convex subset of H, the set of natural numbers, the set of real numbers, strong convergence, weak convergence and a bounded linear operator, respectively.
Also, for the sake of convenience, we restate the following concepts and results.
Let H and K be defined as in Assumption 1. For every , there exists a unique nearest point in K, represented as , such that
and it has been established that for every
Definition 2
([32]). Let Z be a real Banach space and be a self-mapping on Z. Then, the following is considered:
- (i)
- is said to be demiclosed at zero if for any sequence with , we obtain
- (ii)
- Γ is called semicompact if for any bounded sequence with there exists a subsequence of such that
Definition 3
([32]). Let Z be a uniformly convex Banach space and K a closed and convex subset of Z. A mapping is called asymptotically regular on K if for each ,
Definition 4
([32]). Let Z be a uniformly convex Banach space and C a closed and convex subset of E. A mapping is called demicompact if it has the property that if is a bounded sequence in Z and is strongly convergent, then there exists a subsequence of that is strongly convergent.
Lemma 1.
Let where H is a real Hilbert space, closed and convex, and let be an α-strictly pseudocontractive mapping. Then, the following applies:
- (i)
- If is closed and convex;
- (ii)
- is demiclosed at zero.
Lemma 2
([12]). Let , satisfying the inequality
If and , then the exists.
Lemma 3
([7,26]). Let H be as in Assumption 1; then, for all , the following inequality holds:
Proposition 1
([30]). Let be a countable subset of the set of real numbers , where k is a fixed non-negative integer and N is any integer with Then, the following identity holds:
Proposition 2
([30]). Let and v be arbitrary elements of a real Hilbert space H. Let k be any fixed non-negative integer and be such that Let and be countable finite subsets of H and respectively. Define
Then,
where and .
Lemma 4
([2]). Let K be a nonempty, bounded, closed and convex subset of a real Banach space Z, a nonexpansive mapping and ; then, for any given , the mapping , where I is the identity operator, has the same fixed point as Γ and is asymptotically regular.
Remark 3.
When Γ is nonexpansive, so is , and both have the same fixed point; however, has more felicitous asymptotic behavior than the original mapping (see [2] for details).
3. Main Results
First, we provide an iterative scheme as well as a convergence study regarding this scheme with respect to the solutions to the split feasibility problem for a pair of finite families of -enriched strictly pseudocontractive mappings.
Assumption 2.
Consider the following:
- (a)
- Let be two real Hilbert spaces: , a bounded linear operator; and , the adjoint of B;
- (b)
- Let be a finite family of -enriched strictly pseudocontractive and demicompact mappings with ;
- (c)
- Let be a finite family of -enriched strictly pseudocontractive and demicompact mappings with ;
- (d)
- Let ;
- (e)
- Let D be a set of solutions of (MSSFP); that is,
Now, we present our iteration scheme as follows.
Let be as in Assumption 2. For an arbitrary point , construct the sequence iteratively as follows:
where is a countably finite family of real sequences in
Theorem 1.
Let be as stated in Assumption 2. Let be a sequence given by (15). If satisfies the following conditions:
- (1)
- for each i;
- (2)
- (3)
- (4)
- .
then both converge strongly and weakly to some
Proof.
Since is -ESPCM for each j, by setting for , we obtain from (5) that
which upon simplifying yields
where , and I denotes the identity mapping on It is clear that the finite family of the average operator is an -strictly pseudocontractive mapping.
Again, since is -ESPCM for each j, by following a similar approach as in (16), we obtain
where , and I denotes the identity mapping on It is obvious that the finite family of the average operator is again an -strictly pseudocontractive mapping.
Recall that for each ,
Let Q be a convex subset of a linear space Z and be a given map. Then, for any with and for each the mapping is defined by
where for denotes a translation of through the vector .
Using the above information, we restate the iterative scheme defined by (15) as follows:
with the conditions on the iteration parameters still as in (15).
Now, we show that the sequences are bounded.
By the definition of D, for a given , we obtain
and
Thus, .
Since is a finite family of an -strictly pseudocontractive mapping for each j, it follows from Lemma 1 that is closed and convex. Consequently, using Proposition 2 with , for each and , we obtain from (22) that
Also, from (22), we have
Based on condition 4 from the statement, it is clear that , and as a consequence, Equation (26) reduces to
The last inequality implies that the exists; from (27), it again follows that the exists. Thus, the sequences are bounded. Since for each , is nonexpansive, we have
Therefore, is also bounded for each .
For each , denote . Since is nonexpansive for each it follows from Lemma 4 that is asymptotically regular. That is,
Also, for each , we have
Hence, for each ,
Next, we show that for each ,
Now, for any given , we obtain, using (22) and Proposition 2 with and , that
Using a strict pseudocontraction condition on each , we obtain
which by Proposition 1 and Equation (26) yields
Set
Then, we obtain from the last inequality that
Applying conditions 2 and 3 from the statement and the fact that in inequality (34), we obtain
Furthermore, we show that
Using (22) and Proposition 2 with , we have
Also, observe from (22) that
Considering the above information, we are ready to present our strong and weak convergent results.
Now, since is demicompact (by hypothesis) for each j, it follows from (30) that is demicompact for each j. Therefore, using (29), we can find a subsequence of such that as Further, by the continuity of , for each j, it follows that is also continuous for each j, and hence,
Thus, Using the above information, we have for all To be precise,
Using (28), we obtain that converges strongly to
Again, from (36), we obtain
Thus, for any there exists a subsequence with such that
Obviously, from the boundedness of B and decompactness and continuity property of , it is easy to see from (42), by following the same reasoning as in (40), that
holds.
Finally, we show that every cluster point of the sequence is a member of
Now, since is a bounded sequence in , this means that we can find a subsequence of the sequence such that .
Using (35), we have
for each Observe from (20) that for each
which immediately guarantees that is also demiclosed at zero by the demiclosedness of (see Lemma 1). Consequently, for each Since j is arbitrary, it follows that
In view of the boundedness of the linear operator B, we obtain
Again, from (35), we have
Thus, for any there exists a subsequence with such that
Following the demiclosedness of (see Lemma 1), we are guaranteed that is also demiclosed at zero. From the above information and (47), we obtain that . By the arbitrariness of we have
This completes the proof.
□
If in Theorem 1, then the following corollary emerges.
Corollary 1.
Let be as in Assumption 2. Let be a sequence given by
If satisfies following the conditions:
- (1)
- for each i;
- (2)
- (3)
then converges strongly and weakly to some
4. Application
In this section, following the same approach as in [33,34], we shall make use of the results of Section 3 to study the hierarchical variational inequality problem.
Let be as in Assumption Q with Let be a nonexpansive mapping. The well-known hierarchical variational inequality problem for the countably finite family of the mappings with respect to the mapping S is to find a point such that
It is not difficult to see that (49) is equivalent to the fixed point problem below:
find such that
where is the metric projectiom of H onto In setting and (the set of fixed point of ) and (the identity mapping on H), then the problem (50) is equivalent to the multiple-set split feasibility problem defined as follows: find such that
Consequently, Theorem 2 below follows immediately from Theorem 1.
Theorem 2.
Let be as stated in Theorem 1. Let and be the sequences are given by
where is a countably finite family of real sequences in , and , satisfying the following conditions:
- (1)
- for each i;
- (2)
- (3)
- (4)
- .
Proof.
Based on the fact that S is nonexpansive, by Remark 1, S is a 0-enriched nonexpansive mapping (and, by extension, a 0-enriched pseudocontracive mapping with ). In taking (where I is the identity mapping on H) in Theorem 1, then all the conditions of Theorem 1 are satisfied. Hence, the conclusion of Theorem 2 immediately follows from that of Theorem 1. □
5. Numerical Example
In this section, we illustrate the convergence result of Theorem 1.
The following are examples of -enriched strictly pseudocontractive mappings and -enriched strictly pseudocontractive mappings.
Example 3.
Let . For each , let be defined by
and
for all . Then,
Further, for each , is -enriched strictly pseudocontractive mappings. Indeed, for any and , we have
Now, since
it follows that
where .
Similarly,
where .
Thus, and are -enriched strictly pseudocontractive mappings and -enriched strictly pseudocontractive mappings.
Example 4.
Let and . For each , let be defined by
and
Let and be a sequence defined by
where is a countably finite family of real sequences in Then, converges to an element of D.
Proof.
By Example 3, and are -enriched strictly pseudocontractive mappings and -enriched strictly pseudocontractive mappings with , respectively. Clearly, B is a bounded linear operator on , and .
Hence,
Now, all the assumptions of Theorem 1 are satisfied. Thus, by Theorem 1, the sequence defined by (57) converges to a unique element of D.
□
6. Conclusions
Finding the fixed points of nonlinear mappings (especially nonexpansive mappings) has received unprecedented attention due to its numerous applications in a variety of inverse problems, partial differential equations, image recovery, hierarchical variational inequality problems and signal processing. Interestingly, strictly pseudocontractive mappings (a subclass of the class of -enriched strictly pseudocontractive mappings, which we considered in this paper) have more powerful applications (see [29]) than nonexpansive mappings. Also, Theorem 3.1 complements and improves the corresponding results in [28] in the following ways:
- (1)
- For the mapping, we replaced the mapping from a strictly pseudononspreading mapping to a -enriched strictly pseudocontractive mapping.
- (2)
- For the fixed point iterative scheme, we propose a new horizontal iterative scheme for which the sum condition required for the main results in [28] is not needed. Under appropriate conditions, strong and weak convergent results are proven.
As an application, a slight modification of our iterative method was shown to be suitable for the approximation of hierarchical variational inequality problems.
Author Contributions
Conceptualization, N.S. and I.K.A.; formal analysis, N.S. and U.I.; investigation, N.S. and A.R.; writing—original draft preparation, N.S., I.K.A. and M.A.; writing—review and editing, N.S., M.A. and A.R. All authors have read and agreed to the published version of the manuscript.
Funding
This work was supported by the Deanship of Scientific Research, Vice Presidency for Graduate Studies and Scientific Research, King Faisal University, Saudi Arabia [Grant No.6187].
Data Availability Statement
No data sets were generated or analyzed in the current study.
Conflicts of Interest
The authors declare that there are no conflicts of interest.
References
- Saleem, N.; Agwu, I.K.; Ishtiaq, U.; Radenović, S. Strong Convergence Theorems for a Finite Family of Enriched Strictly Pseudocontractive Mappings and ΦT-Enriched Lipschitizian Mappings Using a New Modified Mixed-Type Ishikawa Iteration Scheme with Error. Symmetry 2022, 14, 1032. [Google Scholar] [CrossRef]
- Gormicki, J. Remarks on asymptotically regularity and fixed points. J. Fixed Point Theory Appl. 2003, 4, 137–147. [Google Scholar]
- Ishikawa, S. Fixed point iteration of nonexpansive mapping in Banach space. Proc. Am. Math. Soc. 1976, 59, 65–71. [Google Scholar] [CrossRef]
- Igbokwe, D.I.; Agwu, I.K.; Ukeje, N.C. Convergence of a three-step iteration scheme to the common fixed points of mixed-type total asymptotically nonexpansive mappings. Eur. J. Math. Anal. 2021, 1, 45–67. [Google Scholar]
- Igbokwe, D.I.; Uko, S.J. Weak and strong convergence theorems for approximating fixed points of nonexpansive mappings using composite hybrid iteration method. J. Niger. Math. Soc. 2014, 33, 129–144. [Google Scholar]
- Igbokwe, D.I. Construction of fixed points of strictly pseudocontractive mappings of Brouwder-Petryshyn-type in arbitrary Banach space. Adv. Fixed Point Theory Appl. 2003, 4, 137–147. [Google Scholar]
- Agwu, I.K.; Igbokwe, D.I. Hybrid-type iteration scheme for approximating fixed points of Lipschitz α-hemicontractive mappings. Adv. Fixed Point Theory 2015, 5, 120–134. [Google Scholar]
- Berinde, V. Approximating fixed points of enriched nonexpansive mappings by Krasnolselkii iteration in Hilbert spaces. Carpathian J. Math. 2019, 3, 277–288. [Google Scholar]
- Berinde, V. Approximating fixed points of enriched quasi nonexpansive mappings and applications. arXiv 2019, arXiv:1909.03492v1. [Google Scholar]
- Berinde, V. Weak and strong convergence theorems for the Kreasnolselkij iteration algorithm in the class of enriched strictly pseudocontractive operators. Analele Univ. Vest Timisoara Ser. Math. Inform. 2018, 2, 13–37. [Google Scholar]
- Jeribi, A.; Krichen, B. Functional Analysis in Banach Spaces and Banach Algebras Construction of Fixed Points of Strictly Pseudocontractive Mappings of Brouwder-Petryshyn-Type in Arbitrary Banach Space; CRC Press-Taylor and Francis Group: Boca Raton, FL, USA, 2016; pp. 120–146. [Google Scholar]
- Igbokwe, D.I. Weak and srtong convergence theorems for the iterative approximation of fixed points of strictly pseudocontractive maps in arbitrary Banach spaces. J. Inequal. Pure Appl. Math. 2002, 5, 67–75. [Google Scholar]
- Acedo, G.L.; Xu, H.K. Iteration methods for strict pseudocontractions in Hilbert space. Nonlinear Anal. 2007, 67, 2258–2271. [Google Scholar] [CrossRef]
- Liu, L. Approximation of fixed points of a strictly pseudocontrative mapping. Proc. Am. Math. Soc. 1997, 125, 1363–1366. [Google Scholar] [CrossRef]
- Ogbuisi, F.U.; Shehu, Y.; Yao, J. Convergence analysis of a new relaxed algorith with inertial for solving split feaseability problems. Fixed Point Theory 2024, 25, 249–270. [Google Scholar]
- Browder, F.E.; Petryshyn, W.V. Construction of fixed points of nonlinear mappings in Hilbert space. J. Math. Anal. Appl. 1967, 20, 197–228. [Google Scholar] [CrossRef]
- Chang, S.S.; Lee, H.J.; Chan, C.K.; Wang, L.; Qin, L.J. Split feasibility problem for Quasi-nonexpansive multi-valued mappings and total asymptotically strict pseudo contractive mappings. Appl. Math. Comp. 2013, 219, 10416–10424. [Google Scholar] [CrossRef]
- Yang, L.I.; Chang, S.S.; Cho, Y.J.; Kim, J.K. Multiple-set split feasibility problems for total asymptotically strict pseudo contractions mappings. Fixed Point Theory Appl. 2011, 2011, 77. [Google Scholar] [CrossRef][Green Version]
- Alsulami, S.M.; Latif, A.; Takahashi, W. Strong convergence theorems by hybrid methods for the split feasibility problem in Banach spaces. J. Nonlinear Convex Anal. 2015, 16, 25212538. [Google Scholar]
- Byrne, C.; Censor, Y.; Gibali, A.; Reich, S. The split common null point problem. J. Nonlinear Convex Anal. 2012, 13, 759775. [Google Scholar]
- Masad, E.; Reich, S. A note on the multiple-set split feasibility problem in Hilbert space. J. Nonlinear Convex Anal. 2008, 7, 367371. [Google Scholar]
- Censor, Y.; Segal, A. The split common fixed point problem for directed operators. J. Convex Anal. 2009, 16, 587600. [Google Scholar]
- Moudafi, A.; Thera, M. Proximal and Dynamical Approaches to Equilibrium Problems; Lecture Notes in Economics and Mathematical Systems; Springer: New York, NY, USA, 1999; Volume 477, p. 187201. [Google Scholar]
- Moudafi, A. The split common fixed point problem for demicontractive mappings. J. Inverse Probl. 2010, 26, 055007. [Google Scholar] [CrossRef]
- Takahashi, W.; Yao, J.C. Strong convergence theorems by hybrid methods for the split common null point problem in Banach spaces. Fixed Point Theory Appl. 2015, 205, 87. [Google Scholar] [CrossRef]
- Tang, J.; Chang, S.S.; Wang, L.; Wang, X. On the split common fixed point problem for strict pseudocontractive and asymptotically nonexpansive mappings in Banach spaces. J. Inequal. Appl. 2015, 23, 205221. [Google Scholar] [CrossRef]
- Chang, S.S.; Lee, H.J.; Chan, C.K.; Zhang, W.B. A modified halpern-type iteration algorithm for totally quasi-f-asymptotically nonexpansive mappings with applications. Appl. Math. Comput. 2012, 218, 6489–6497. [Google Scholar] [CrossRef]
- Chang, S.S.; Kim, J.K.; Cho, Y.J.; Sim, J.Y. Weak- and strong-convergence theorems of solutions to split feasibility problem for nonspreading type mapping in Hilbert spaces. Fixed Point Theory Appl. 2014, 2014, 11. [Google Scholar] [CrossRef]
- Lion, Y. Computing the Fixed points of strictly pseudocontractive mappings by the implicit and explicit iterations. Abstr. Appl. Anal. 2012, 2012, 315835. [Google Scholar] [CrossRef]
- Isogugu, F.O.; Izuchukwu, C.; Okeke, C.C. New iteration scheme for approximating a common fixed point od finite family of mappings. Hindawi J. Math. 2020, 2020, 3287968. [Google Scholar]
- De la sen, M. On some convergent properties of the modified Ishikawa scheme for asymptotically demicontractive mappings with metricial parameterizing sequences. J. Math. 2018, 2018, 3287968. [Google Scholar] [CrossRef]
- Petryshyn, W.V. Construction of fixed points for demicompact mappings in Hilbert space. J. Math. Anal. Appl. 1966, 14, 274–276. [Google Scholar] [CrossRef]
- D’Aniello, E.; Darji, U.B.; Maiuriello, M. Shift-like operators on Lp(X). J. Math. Anal. Appl. 2022, 515, 126393. [Google Scholar] [CrossRef]
- Maiuriello, M. Expansivity and strong structural stability for composition operators on spaces. Banach J. Math. Anal. 2022, 16, 51. [Google Scholar] [CrossRef]
Disclaimer/Publisher’s Note: The statements, opinions and data contained in all publications are solely those of the individual author(s) and contributor(s) and not of MDPI and/or the editor(s). MDPI and/or the editor(s) disclaim responsibility for any injury to people or property resulting from any ideas, methods, instructions or products referred to in the content. |
© 2024 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).