Next Article in Journal
Robust Stability of Complex-Valued Stochastic Neural Networks with Time-Varying Delays and Parameter Uncertainties
Next Article in Special Issue
Strong Convergence of Mann’s Iteration Process in Banach Spaces
Previous Article in Journal
Properties of Entropy-Based Topological Measures of Fullerenes
Previous Article in Special Issue
On Pata–Suzuki-Type Contractions
 
 
Font Type:
Arial Georgia Verdana
Font Size:
Aa Aa Aa
Line Spacing:
Column Width:
Background:
Article

Δ-Convergence of Products of Operators in p-Uniformly Convex Metric Spaces

Department of Mathematics Education, Jeju National University, Jeju 63243, Korea
Mathematics 2020, 8(5), 741; https://doi.org/10.3390/math8050741
Submission received: 25 April 2020 / Revised: 3 May 2020 / Accepted: 5 May 2020 / Published: 8 May 2020
(This article belongs to the Special Issue Fixed Point, Optimization, and Applications)

Abstract

:
In this paper, we first introduce the new notion of p-strongly quasi-nonexpansive maps on p-uniformly convex metric spaces, and then we study the Δ (weak)-convergence of products of p-strongly quasi-nonexpansive maps on p-uniformly convex metric spaces. Furthermore, using the result, we prove the Δ -convergence of the weighted averaged method for projection operators.

1. Introduction

The problem of finding common points of two subsets has been studied by many mathematicians, e.g., [1,2,3,4,5,6,7,8,9,10,11,12]. It is called the convex feasibility problem which has several applications (see [4]).
A simple and famous algorithmic method to study the convex feasibility problem is to use iterative methods for projection operators. Indeed, iterative methods in metric spaces have been studied several authors, e.g., [13,14,15,16], etc. Specially, we introduce the (midpoint) averaged method for two projection operators as follows: for two projections P A and P B , where A and B are closed convex subset of a Hilbert space H, a iterative sequence
x n : = P A x n 1 + P B x n 1 2
is called (midpoint) averaged projection method, where x 0 is a point in H.
In [2], the author studied the weak convergence of { x n } given as in Equation (1). In [5], the authors provided some example that is a sequence which is weakly convergent, but not convergent in norm sense.
The averaged projection method in Hilbert spaces (linear space) can be extended to more general spaces (non linear space), e.g, geodesic metric spaces. In [7], Choi defined the weighted averaged projection method in CAT ( κ ) spaces with κ 0 by using the notion of geodesic and the author proved that Δ (weak)-convergence for the weighted averaged projection sequence (see also [17] for the case of CAT ( 0 ) spaces). Indeed, in CAT ( κ ) spaces with κ 0 , we can define the weighted averaged projection method by
x n + 1 = P A x n # t P B x n , n N , t ( 0 , 1 ) ,
where x # t y is a geodesic connecting two point x and y. In particular, if in (2), we take t n = 1 / 2 for n = 0 , 1 , , we have the averaged projection method. In fact, in [9], the authors studied the Δ -convergence of the weighted averaged sequence for general operators on p-uniformly convex metric spaces. Note that every CAT ( κ ) space with κ 0 having some diameter condition, is a 2-uniformly convex metric space, (see Example 1).
The main purpose of this paper is to study the Δ -convergence (or weak convergence) of products of p-strongly quasi-nonexpansive maps (see Section 3) on p-uniformly convex metric spaces. Indeed, (2) can be rewritten as
x n = T n x 0 ,
where T = P A # t P B , t ( 0 , 1 ) , where ( P A # t P B ) x : = P A x # t P B x . Thus, the convergence of (2) can be proven by the convergence result of iterates of the products of T.
This paper is organized as follows. In Section 2, we firstly recall the notions of p-uniformly convex metric spaces, and the notion of Δ -convergence of sequence in p-uniformly convex metric spaces. In Section 3, we firstly introduce a new notion of p-strongly quasi-nonexpansive maps on p-uniformly convex metric spaces, and then we study the Δ -convergence result of products of p-strongly quasi-nonexpansive maps. Furthermore, using the result, we study the Δ -convergence of the weighted averaged sequence for two projections defined by (2).

2. Geodesic Metric Spaces

2.1. p-Uniformly Convex Metric Spaces

Let ( X , d ) be a metric space and x and y be two element in X. A continuous map γ : [ 0 , 1 ] X is called a geodesic joining x and y if it satisfies the following property: d ( γ ( s ) , γ ( t ) ) = | s t | d ( x , y ) for any s , t [ 0 , 1 ] with γ ( 0 ) = x , γ ( 1 ) = y .
A metric space X is said to be a geodesic metric space if for any two points x and y in X, there exists a geodesic γ joining them.
For 2 p < , a geodesic metric space ( X , d ) is called p-uniformly convex with parameter c X > 0 if there exists a constant c X ( 0 , 1 ] such that for any z X and any geodesic γ : [ 0 , 1 ] X with γ ( 0 ) = x and γ ( 1 ) = y
d ( z , γ ( t ) ) p ( 1 t ) d ( z , x ) p + t d ( z , y ) p c X t ( 1 t ) d ( x , y ) p , t [ 0 , 1 ] .
(see [18,19,20]). For the case of 1 < p < 2 , since p-uniformly convex metric spaces can be considered as 2-uniformly convex metric spaces (see [18]), we only consider the case of 2 p < in this paper.
Now, we give some important examples for p-uniformly convex metric spaces.
Example 1.
(1) Let ( X , d ) be a complete CAT ( 0 ) -space (or Hadamard space). Then ( X , d ) is a 2-uniformly convex metric space with parameter c X = 1 . (see [18]).
(2) Let ( X , d ) be a CAT ( κ ) space with diam ( X ) ( = sup { d ( x , y ) ; x , y X } ) < π 2 κ . Then ( X , d ) is a 2-uniformly convex metric space with parameter c X ( 0 , 1 ) (see [18,20]).

2.2. Δ -Convergence in Geodesic Metric Spaces

We now recall the notion of a weak type convergence in general metric spaces. In [21], the author was firstly introduced the notion of Δ -convergence that is weak type convergence in general metric spaces. Indeed the weak convergence and the Δ -convergence are equivalent in Hilbert spaces. Many authors have been studied the Δ -convergence results in several geodesic metric spaces, see [3,8,9,17,22,23,24,25] etc.
Let ( X , d ) be a geodesic metric space and let { x n } be a bounded sequence in X. Set
r ( x , { x n } ) : = lim sup n + d ( x , x n ) , for x X .
The asymptotic center A ( { x n } ) of { x n } is defined by
A ( { x n } ) : = x X | r ( x , { x n } ) = inf y X r ( y , { x n } ) .
A sequence { x n } X is said to Δ-converge (or weakly converge) to x X if for any { x n k } { x n } , x is a unique asymptotic center of { x n k } . In this case, x is called the Δ-limit of { x n } . A point x X is called a Δ-cluster point of { x n } if there exists a subsequence { x n k } of { x n } satisfying that { x n k } Δ -converges to x.
The following result is important to study the Δ -convergence in a complete p-uniformly convex metric space.
Proposition 1
([1]). Let X be a complete p-uniformly convex metric space with parameter c X > 0 and { x n } be a bounded sequence in X. Then the following results hold
(i)
The asymptotic center of { x n } has only one point.
(ii)
{ x n } has a Δ-cluster point.
For our study, we recall the notion of Fejér monotone sequence in metric spaces. Let { x n } be a sequence in a metric space ( X , d ) and K be a non-empty subset of X. A sequence { x n } is called Fejér monotone with respect to (w.r.t) K if for any k K
d ( x n + 1 , k ) d ( x n , k ) , for any n N .
It is clear that { x n } is a bounded sequence whenever { x n } is Fejér monotone sequence w.r.t some K.
Lemma 1
([9]). Let ( X , d ) be a complete p-uniformly convex metric space with parameter c X > 0 and let K be a nonempty subset of X. Let { x n } X be a Fejér monotone sequence w.r.t K. If any Δ-cluster point z of { x n } belongs to K, then { x n } Δ-converges to a point in K.

3. Δ -Convergence Results

Let ( X , d ) be a p-uniformly convex metric space. An operator T : X X with Fix ( T ) is said to be firmly quasi-nonexpansive if for all z Fix ( T )
d ( T x , z ) d ( x # t T x , z ) ,
where x # t y is a geodesic connecting two point x and y, and p-strongly quasi-nonexpansive if T is quasi-nonexpansive and if whenever { x n } X is bounded, z Fix ( T ) and lim n + [ d ( x n , z ) p d ( T x n , z ) p ] = 0 , it follows that lim n + d ( x n , T x n ) = 0 . Note that 1-strongly quasi-nonexpansive is called strongly quasi-nonexpansive (see [26]). Furthemore, 2 n -strongly quasi-nonexpansive for n N is n-strongly quasi-nonexpansive since
d ( x n , z ) 2 n d ( T x n , z ) 2 n = ( d ( x n , z ) n d ( T x n , z ) n ) ( d ( x n , z ) n + d ( T x n , z ) n ) .
Example 2.
Let ( X , d ) be a complete CAT ( κ ) space ( κ 0 ) with diam ( X ) < π 2 κ , and A be a non-empty closed convex subset. Then the metric projection operator P A is firmly quasi-nonexpansive (see [1]).
Lemma 2.
Let ( X , d ) be a p-uniformly convex metric space with parameter c X > 0 . Every firmly quasi-nonexpansive map T on X with with Fix ( T ) is p-strongly quasi-nonexpansive.
Proof. 
Suppose that T : X X is a firmly quasi-nonexpansive map with Fix ( T ) and { x n } is a bounded sequence. Put z Fix ( T ) is a point such that
lim n + d ( x n , z ) p d ( T x n , z ) p = 0 .
Then we only show that lim n + d ( x n , T x n ) = 0 for our proof. To do this, we assume that there exists ϵ > 0 and a subsequence { x n k } such that
d ( x n k , T x n k ) ϵ
for all k N . Since the sequence { x n } is bounded, { d ( x n , z ) } is also bounded in R . So, we can take a subsequence { d ( x n k , z ) } of { d ( x n , z ) } such that lim k + d ( x n k , z ) = α . Therefore, by using (4), we have
α = lim k + d ( x n k , z ) = lim k + d ( T x n k , z ) .
Since T is a firmly quasi-nonexpansive map, we have for all t [ 0 , 1 ]
d ( T x n k , z ) p d ( x n k # t T x n k , z ) p ( 1 t ) d ( x n k , z ) p + t d ( T x n k , z ) p d ( x n k , z ) p ,
which implies that for all t [ 0 , 1 ] (using (6))
lim k + d ( x n k # t T x n k , z ) = α .
However, we have by (3),
0 c X 2 t ( 1 t ) d ( x n k , T x n k ) p ( 1 t ) d ( x n k , z ) p + t d ( T x n k , z ) p d ( x n k # t T x n k , z ) p ,
which implies that
lim k + d ( x n k , T x n k ) = 0 .
This is a contradict to (5). The proof is completed. □
Lemma 3.
Let ( X , d ) be a geodesic metric space. If { T i : X X } i = 1 m is a sequence of p-strongly quasi-nonexpansive maps with i = 1 m Fix ( T i ) , then
Fix ( T m T m 1 T 1 ) = i = 1 m Fix ( T i ) .
Proof. 
Using the definition of a p-strongly quasi-nonexpansive map and the similar method in the proof in [26] Lemma 3.3, the proof is clear. □
Using above lemma and same method in [26], we can have the following results.
Lemma 4.
Let ( X , d ) be a geodesic metric space. If { T i : X X } i = 1 m is a sequence of p-strongly quasi-nonexpansive maps with i = 1 m Fix ( T i ) , then T : = T m T m 1 T 1 is also p-strongly quasi-nonexpansive.
Let ( X , d ) be a geodesic metric space. Now we recall the notion of convex combinations of two operators. Let T 1 and T 2 be two operators on X. The convex combination of T 1 and T 2 is the operator T 1 # t T 2 defined by
( T 1 # t T 2 ) x : = T 1 x # t T 2 x .
With above setting we have the following result.
Lemma 5.
Let ( X , d ) be a p-uniformly convex metric space. If T 1 and T 2 are p-strongly quasi-nonexpansive maps with Fix ( T 1 ) Fix ( T 2 ) then T 1 # t T 2 is p-strongly quasi-nonexpansive and Fix ( T 1 # t T 2 ) = Fix ( T 1 ) Fix ( T 2 ) for all t ( 0 , 1 ) .
Proof. 
It is clear that Fix ( T 1 # t T 2 ) Fix ( T 1 ) Fix ( T 2 ) . Assume that x Fix ( T 1 # t T 2 ) and fix a point z Fix ( T 1 ) Fix ( T 2 ) . Since T 1 and T 2 are quasi-nonexpansive maps, we have
d ( x , z ) p = d ( ( T 1 # t T 2 ) x , z ) p ( 1 t ) d ( T 1 x , z ) p + t d ( T 2 x , z ) p d ( x , z ) p
which implies that
( 1 t ) d ( T 1 x , z ) p + t d ( T 2 x , z ) p = d ( x , z ) p = ( 1 t ) d ( x , z ) p + t d ( x , z ) p .
Thus we obtain that for all t ( 0 , 1 )
( 1 t ) [ d ( x , z ) p d ( T 1 x , z ) p ] + t [ d ( x , z ) p d ( T 2 x , z ) p ] = 0 .
Therefore, by p-strongly quasi-nonexpansivity of T 1 and T 2 , we have T 1 x = T 2 x = x . So we have Fix ( T 1 # t T 2 ) Fix ( T 1 ) Fix ( T 2 ) . Now we show that T 1 # t T 2 is p-strongly quasi-nonexpansive. If { x n } is a bounded sequence in X satisfying
lim n + [ d ( x n , z ) p d ( ( T 1 # t T 2 ) x n , z ) ] = 0 .
for z Fix ( T 1 # t T 2 ) = Fix ( T 1 ) Fix ( T 2 ) , then by (3) we have
d ( ( T 1 # t T 2 ) x n , z ) p ( 1 t ) d ( T 1 x n , z ) p + t d ( T 2 x n , z ) p d ( x n , z ) p .
Thus we have
0 ( 1 t ) [ d ( x n , z ) p d ( T 1 x n , z ) p ] + t [ d ( x n , z ) p d ( T 2 x n , z ) p ] d ( x n , z ) p d ( ( T 1 # t T 2 ) x n , z ) p ,
which implies that
lim n + ( 1 t ) [ d ( x n , z ) p d ( T 1 x n , z ) p ] + t [ d ( x n , z ) p d ( T 2 x n , z ) p ] = 0 .
Since T 1 and T 2 are quasi-nonexpansive, we have that
lim n + d ( x n , z ) p d ( T 1 x n , z ) p = 0 and lim n + d ( x n , z ) p d ( T 2 x n , z ) p = 0 .
Furthemore, by the fact that T 1 and T 2 are p-strongly quasi-nonexpansive, we conclude that
lim n + d ( x n , T 1 x n ) = 0 and lim n + d ( x n , T 2 x n ) = 0 ,
which implies that
lim n + d ( x n , ( T 1 # t T 2 ) x n ) = 0 .
since d ( ( T 1 # t T 2 ) x n , x n ) p ( 1 t ) d ( T 1 x n , x n ) p + t d ( T 2 x n , x n ) p . Hence T 1 # t T 2 is p-strongly quasi-nonexpansive. □
A map T : X X is called Δ-demiclosed if for any Δ -convergent sequence { x n } with lim n + d ( T x n , x n ) = 0 , its Δ -limit of { x n } belong to Fix ( T ) .
It is clear that the identity map I on X is Δ -demiclosed.
Example 3.
(i) Every firmly nonexpansive map T on X, (that is,
d ( T x , T y ) d ( x # t T x , y # t T y )
for all x , y X and t [ 0 , 1 ) ) is Δ-demiclosed. (see [9]).
(ii) Let ( X , d ) be a complete CAT ( κ ) space ( κ 0 ) (with diam ( X ) < π 2 κ , for κ > 0 ) and A be a closed convex subset of X. Then P A is Δ-demiclosed (see [27]).
Now we prove the convergence of p-strongly quasi-nonexpansive maps on geodesic metric spaces as following:
Theorem 1.
Let ( X , d ) be a complete p-uniformly convex metric space and T : X X be a Δ-demiclosed p-strongly quasi-nonexpansive map with Fix ( T ) . Then { T n x } Δ-converges to a point z Fix ( T ) as n + .
Proof. 
Let x X be given. Define the sequence { x n } by
x 1 : = x , x n + 1 : = T n x = T x n
for all n N . Then { x n } is a Fejér monotone sequence w.r.t Fix ( T ) since T is quasi-nonexpansive. Thus the sequence { d ( x n , z ) } is decreasing and bounded in R for z Fix ( T ) . Therefore { d ( x n , z ) } converges to a point in R . Thus, we obtain that
lim n + d ( x n , z ) = lim n + d ( T x n , z ) ,
which implies that
lim n + d ( x n , T x n ) = 0 .
Since { x n } is bounded, by Proposition 1, there exists { x n k } { x n } such that { x n k } Δ -converges to z X . Since T is a Δ -demiclosed, by combining (7), we have that z Fix ( T ) . By Lemma 1, we obtain that { T n x } Δ -converges to a point z Fix ( T ) as n + . □
Lemma 6.
Let ( X , d ) be a CAT ( κ ) space with diam ( X ) < π 2 κ . Let A 1 and A 2 be two closed convex subsets of X with A 1 A 2 and P A 1 and P A 2 be corresponding projection operators, respectively. Then P A 1 # t P A 2 is also Δ-demiclosed for all t [ 0 , 1 ] .
Proof. 
Put P = P A 1 # t P A 2 for t ( 0 , 1 ) . Let { x n } be a (bounded) sequence in X and z X such that d ( P x n , x n ) 0 as n + and { x n } Δ -converges to z. Note that since for any q A 1 A 2 ,
0 d ( x n , q ) d ( P x n , q ) d ( P x n , x n )
we have
d ( x n , q ) d ( P x n , q ) 0
as n + which implies that
lim n + d ( x n , q ) 2 d ( P x n , q ) 2 = 0 .
Since for any q A 1 A 2 ,
d ( P x n , q ) 2 ( 1 t ) d ( P A 1 x n , q ) 2 + t d ( P A 2 x n , q ) 2 c X t ( 1 t ) d ( P A 1 x n , P A 2 x n ) 2 d ( x n , q ) 2 c X t ( 1 t ) d ( P A 1 x n , P A 2 x n ) 2 ,
we have that
lim n + d ( P A 1 x n , P A 2 x n ) = 0 .
Thus we have
d ( P A 1 x n , P x n ) = t d ( P A 1 x n , P A 2 x n ) 0
as n + which implies that P A 1 z = z since P A 1 is Δ -demiclosed. By similar method, we have P A 2 z = z . Since
lim sup n + d ( P z , x n ) 2 lim sup n + ( 1 t ) d ( P A 1 z , x n ) + t d ( P A 1 z , x n ) 2 = lim sup n + d ( z , x n ) 2 ,
by uniqueness of Δ -limit, we conclude that P ( z ) = z . The proof is completed. □
Using Lemmas 5 and 6 and Theorem 1, we have the following result
Theorem 2.
Let ( X , d ) be a CAT ( κ ) space with diam ( X ) < π 2 κ . Let A 1 and A 2 be two closed convex subsets of X with A 1 A 2 and P A 1 and P A 2 be corresponding (metric) projections, respectively. Then for all x X and t ( 0 , 1 ) , there exists a point z A 1 A 2 such that P A 1 # t P A 2 n x Δ-converges to z as n + .

Funding

This work was supported by the National Research Foundation of Korea(NRF) grant funded by the Korea government(MSIT) (No. 2020R1C1C1A01003305).

Conflicts of Interest

The author declare no conflict of interest.

References

  1. Ariza-Ruiz, D.; López-Acedo, G.; Nicolae, A. The asymptotic behavior of the composition of firmly nonexpansive mappings. J. Optim. Theory Appl. 2015, 167, 409–429. [Google Scholar] [CrossRef] [Green Version]
  2. Auslender, A. Méthodes Numériques pour la Résolution des Problèmes d’Optimisation avec Constraintes. Master’s Thesis, Faculté des Sciences, University of Grenoble, Grenoble, France, 1969. [Google Scholar]
  3. Bačák, M.; Searston, I.; Sims, B. Alternating projections in CAT(0) spaces. J. Math. Anal. Appl. 2012, 385, 599–607. [Google Scholar] [CrossRef] [Green Version]
  4. Bauschke, H.H.; Borwein, J.M. On projection algorithms for solving convex feasibility problems. SIAM Rev. 1996, 38, 367–426. [Google Scholar] [CrossRef] [Green Version]
  5. Bauschke, H.H.; Matoušková, E.; Reich, S. Projection and proximal point methods: convergence results and counterexamples. Nonlinear Anal. 2004, 56, 15–738. [Google Scholar] [CrossRef]
  6. Brègman, L.M. Finding the common point of convex sets by the method of successive projection. Dokl. Akad. Nauk SSSR 1965, 162, 487–490. (In Russian) [Google Scholar]
  7. Choi, B.J. Δ-convergences of weighted average projections in CAT(κ) spaces. J. Aust. Math. Soc. 2020. accept. [Google Scholar]
  8. Choi, B.J.; Ji, U.C.; Lim, Y. Convergences of alternating projections in CAT(κ) spaces. Constr. Approx. 2018, 47, 391–405. [Google Scholar] [CrossRef]
  9. Choi, B.J.; Ji, U.C.; Lim, Y. Convex feasibility problems on uniformly convex metric spaces. Optim. Methods Softw. 2020, 35, 21–36. [Google Scholar] [CrossRef]
  10. Combettes, P.L. Hilbertian convex feasibility problem: Convergence of projection methods. Appl. Math. Optim. 1997, 35, 311–330. [Google Scholar] [CrossRef]
  11. Hundal, H.S. An alternating projection that does not converge in norm. Nonlinear Anal. 2004, 57, 35–61. [Google Scholar] [CrossRef]
  12. von Neumann, J. Functional Operators II: The Geometry of Orthogonal Spaces; Annals of Mathematics Studies 22; Princeton University Press: Princeton, NJ, USA, 1950. [Google Scholar]
  13. Ćirić, L.; Rafiq, A.; Radenović, S.; Rajović, M.; Ume, J.S. On Mann implicit iterations for strongly accretive and strongly pseudo-contractive mappings. Appl. Math. Comput. 2008, 198, 128–137. [Google Scholar] [CrossRef]
  14. Malkowsky, E.; Rakočević, V. Advanced Functional Analysis; CRC Press: Boca Raton, FL, USA, 2019. [Google Scholar]
  15. Todorčević, V. Harmonic Quasiconformal Mappings and Hyperbolic Type Metrics; Springer: Cham, Switzerland, 2019. [Google Scholar]
  16. Ćirić, L. Some Recent Results in Metrical Fixed Point Theory; University of Belgrade: Beograd, Serbia, 2003. [Google Scholar]
  17. Bačák, M. Convex Analysis and Optimization in Hadamard Spaces; De Gruyter Series in Nonlinear Analysis and Applications; 22 De Gruyter: Berlin, Germany, 2014. [Google Scholar]
  18. Kuwae, K. Jensen’s inequality on convex spaces. Calc. Var. Part. Differ. Equ. 2014, 49, 1359–1378. [Google Scholar] [CrossRef]
  19. Naor, A.; Silberman, L. Poincaré inequalities, embeddings, and wild groups. Compos. Math. 2011, 147, 1546–1572. [Google Scholar] [CrossRef] [Green Version]
  20. Ohta, S. Convexities of metric spaces. Geom. Dedicata 2007, 125, 225–250. [Google Scholar] [CrossRef]
  21. Lim, T.C. Remarks on some fixed point theorems. Proc. Am. Math. Soc. 1976, 60, 179–182. [Google Scholar] [CrossRef]
  22. He, J.S.; Fang, D.H.; López, G.; Li, C. Mann’s algorithm for nonexpansive mappings in CAT(κ) spaces. Nonlinear Anal. 2012, 75, 445–452. [Google Scholar] [CrossRef]
  23. Kirk, W.A.; Panyanak, B. A concept of convergence in geodesic spaces. Nonlinear Anal. 2008, 68, 3689–3696. [Google Scholar] [CrossRef]
  24. Bačák, M.; Reich, S. The asymptotic behavior of a class of nonlinear semigroups in Hadamard spaces. J. Fixed Point Theory Appl. 2014, 16, 189–202. [Google Scholar] [CrossRef] [Green Version]
  25. Espínola, R.; Fernández-León, A. CAT(κ)-spaces, weak convergence and fixed points. J. Math. Anal. Appl. 2009, 353, 410–427. [Google Scholar] [CrossRef] [Green Version]
  26. Reich, S.; Salinas, Z. Weak convergence of infinite products of operators in Hadamard spaces. Rend. Circ. Mater. Palermo 2016, 65, 55–71. [Google Scholar] [CrossRef]
  27. Kimura, Y.; Satô, K. Halpern iteration for strongly quasinonexpansive mappings on a geodesic space with curvature bounded above by one. Fixed Point Theory Appl. 2013, 2013, 7. [Google Scholar] [CrossRef] [Green Version]

Share and Cite

MDPI and ACS Style

Choi, B.J. Δ-Convergence of Products of Operators in p-Uniformly Convex Metric Spaces. Mathematics 2020, 8, 741. https://doi.org/10.3390/math8050741

AMA Style

Choi BJ. Δ-Convergence of Products of Operators in p-Uniformly Convex Metric Spaces. Mathematics. 2020; 8(5):741. https://doi.org/10.3390/math8050741

Chicago/Turabian Style

Choi, Byoung Jin. 2020. "Δ-Convergence of Products of Operators in p-Uniformly Convex Metric Spaces" Mathematics 8, no. 5: 741. https://doi.org/10.3390/math8050741

APA Style

Choi, B. J. (2020). Δ-Convergence of Products of Operators in p-Uniformly Convex Metric Spaces. Mathematics, 8(5), 741. https://doi.org/10.3390/math8050741

Note that from the first issue of 2016, this journal uses article numbers instead of page numbers. See further details here.

Article Metrics

Back to TopTop