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R E S E A R C H

Open Access

The viscosity iterative algorithms for the

implicit midpoint rule of nonexpansive

mappings in uniformly smooth Banach

spaces

Ping Luo

1

, Gang Cai

1*

and Yekini Shehu

2

*Correspondence:

caigang-aaaa@163.com

1School of Mathematics Science,

Chongqing Normal University, Chongqing, 401331, China Full list of author information is available at the end of the article

Abstract

The aim of this paper is to introduce a viscosity iterative algorithm for the implicit midpoint rule of nonexpansive mappings in uniformly smooth spaces. Under some appropriate conditions on the parameters, we prove some strong convergence theorems. As applications, we apply our main results to solving fixed point problems of strict pseudocontractive mappings, variational inequality problems in Banach spaces and equilibrium problems in Hilbert spaces. Finally, we give some numerical examples for supporting our main results.

MSC: 49H09; 47H10; 47J20

Keywords: strong convergence; nonexpansive mapping; implicit midpoint rule; uniformly smooth Banach space

1 Introduction

Throughout this paper, we assume thatEandE∗is a real Banach space and the dual space ofE, respectively. LetT be a mapping fromCinto itself, whereC is a subset ofE. We denoted byF(T) the set of fixed points ofT. It is well known that the duality mapping J:E→Eis defined by

J(x) =x∗∈E∗:x,x∗=x,x∗=x, ∀xE.

WhenJis single-valued, we denote it byj. We notice that ifEis a Hilbert space, thenJis the identity mapping and ifEis smooth, thenJis single-valued.

Now we recall some basic concepts and facts appeared in []. A mappingf :CCis said to be a contraction, if there exists a constantα∈[, ) satisfying

f(x) –f(y)≤αx–y, ∀x,yC.

We useCto denote the collection of all contractions fromCinto itself.

A mappingT:CCis said to be nonexpansive if

Tx–Ty ≤ xy, ∀x,yC. (.)

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LetρE: [,∞)→[,∞) be defined by

ρE(t) =sup

 

x+y+x–y –  :xS(E),y ≤t

,

which is called the modulus of smoothness ofE. We say that Banach spaceEis uniformly

smooth if ρE(t)

t → ast→. It is well known that typical example of uniformly smooth Banach spaces is Lp, here p> . Moreover, we say that Banach space E isq-uniformly

smooth, if there exists a fixed constantc>  such thatρE(t)≤ctq.

Recently, viscosity iterative algorithms for finding a common element of the set of fixed points for nonlinear operators and the set of solutions of variational inequality problems have been investigated by many authors; see [–] and the references therein. For example, Xu [] introduced the explicit viscosity method for nonexpansive mappings:

xn+=αnf(xn) + ( –αn)Txn, n≥, (.)

where{αn}is a sequence in (, ) andfC. Under some suitable conditions on{αn}, he

proved that the sequence{xn}generated by (.) converges strongly to a fixed pointqof

Tin Hilbert spaces or uniformly smooth Banach spaces, which also solves the variational inequality:

(I–f)q,xq≥, xF(T). (.)

On the other hand, the implicit midpoint rule is a powerful method for solving ordi-nary differential equations; see [–] and the references therein. Recently, Xuet al.[] applied the viscosity technique to the implicit midpoint rule for a nonexpansive mapping. Precisely, they considered the following viscosity implicit midpoint rule:

xn+=αnf(xn) + ( –αn)T

xn+xn+ 

, n≥. (.)

They proved that the sequence generated by (.) converges strongly to a fixed point ofT, which also solves the variational inequality (.) in Hilbert space. The following problems arise:

Question . Can we extend and improve the main results of Xuet al.[] from Hilbert space to general Banach space? For example we might consider a uniformly smooth Ba-nach space.

Question . We note that the proof of step  in Theorem . of [] is very complicated. Can we simplify it?

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2 Preliminaries

The following lemmas are fundamental in the proof of our main results of this section.

Lemma .([]) Assume{an}is a sequence of nonnegative real numbers such that

an+≤( –αn)an+δn, n≥,

where{αn}is a sequence in(, )and{δn}is a sequence inRsuch that

(i) ∞n=αn=∞,and

(ii) eitherlim supn→∞δn αn ≤or

n=|δn|<∞.

Thenlimn→∞an= .

Lemma .([]) Let E be a uniformly smooth Banach space,C be a closed convex subset of

E,T:CC be a nonexpansive mapping with F(T)=∅and let fC.Then the sequence

{xt} defined by xt=tf(xt) + ( –t)Txt converges strongly to a point in F(T).If we define

a mapping Q:CF(T)by Q(f) :=limt→xt,∀f ∈C.Then Q(f)solves the following

variational inequality:

(I–f)Q(f),jQ(f) –p ≤, ∀f ∈C,pF(T).

Lemma .([]) Let C be a nonempty closed convex subset of a real Banach space E which has uniformly Gâteaux differentiable norm,and T:CC be a nonexpansive mapping with F(T)=∅.Assume that{zt}strongly converges to a fixed point z of T as t→,where{zt}

is defined by zt=tf(zt)+(–t)Tzt.Suppose{xn} ⊂C is bounded andlimn→∞xn–Txn= .

Then

lim sup

n→∞

f(z) –z,j(xn+–z)

≤.

3 Main results

Theorem . Let C be a closed convex subset of a uniformly smooth Banach space E.Let T :CC be a nonexpansive mapping with F(T)=∅,and f :CC a contraction with coefficient α∈[, ).Let{xn} be a sequence generated by the following viscosity implicit

midpoint rule:

xn+=αnf(xn) + ( –αn)T

xn+xn+ 

, n≥, (.)

where{αn}is a sequence in(, )such that:

(i) limn→∞αn= ,

(ii) ∞n=αn=∞,

(iii) eithern=|αn+–αn|<∞orlimn→∞ααnn+= .

Then{xn}converges strongly to a fixed point q of T,which also solve the following

varia-tional inequality:

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Proof Using similar argument used in the proof of Theorem . of [], we can find that the sequence{xn}is bounded and

xn+–xn →, xnTxn →, asn→ ∞. (.)

We omit the details. Let{xt}be a sequence defined byxt=tf(xt) + ( –t)Txt, then it follows

from Lemma . that{xt} converges strongly to a fixed pointq ofT, which solves the

variational inequality:

(I–f)q,j(xq)≥, xF(T).

By (.) and Lemma ., we have

lim sup

n→∞

f(q) –q,j(xn+–q)

≤. (.)

Finally, we prove thatxnqasn→ ∞. In fact, we observe

xn+–q =( –αn)

T

xn+xn+ 

q

+αn

f(xn) –q

= ( –αn)

T

xn+xn+ 

q,j(xn+–q)

+αn

f(xn) –q,j(xn+–q)

≤ –αn

xnq+xn+–q xn+–q+αnαxnqxn+–q +αn

f(q) –q,j(xn+–q)

= –αn+ αnα

 xnqxn+–q+  –αn

 xn+–q+α

n

f(q) –q,j(xn+–q)

,

which implies

 +αn

xn+–q

 –αn+ αnα

xnq+xn+–q +αn

f(q) –q,j(xn+–q)

.

Thus we obtain

 + αn– αnα

 xn+–q

 –αn+ αnα

 xnq+α

n

f(q) –q,j(xn+–q)

.

This implies

xn+–q ≤  –αn+ αnα

 + αn– αnαxn

q+ αn  + αn– αnα

f(q) –q,j(xn+–q)

=

 – αn( –α)  +αn+ αn( –α)

xnq

+ αn( –α)  +αn+ αn( –α)

f(q) –q,j(xn+–q)

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We note

αn( –α)

 +αn+ αn( –α)

>( –α)  – α αn.

Apply Lemma . to (.), we havexnqasn→ ∞. This finishes the proof.

It is well known that Hilbert space is uniformly smooth, then we obtain the main results of [].

Corollary . Let C be a closed convex subset of a Hilbert space H,T:CC a nonex-pansive mapping with F(T)=∅,and f:CC a contraction with coefficientα∈[, ).Let {xn}be generated by the following viscosity implicit midpoint rule:

xn+=αnf(xn) + ( –αn)T

xn+xn+ 

, n≥,

where{αn}is a sequence in(, )satisfying:

(i) limn→∞αn= ,

(ii) ∞n=αn=∞,

(iii) eithern=|αn+–αn|<∞orlimn→∞ααnn+= .

Then{xn}converges strongly to a fixed point q of T,which is also the unique solution of

the following variational inequality:

(I–f)q,xq≥, xF(T).

4 Applications

(I) Application to fixed point problems for strict pseudocontractive mappings.

We say that a mappingT:CCisλ-strict pseudocontractive if there exists a fixed constantλ∈(, ) such that

TxTy,j(xy)≤ x–y–λ(I–T)x– (I–T)y, (.)

for somej(xy)J(xy) and for everyx,yC. A simple computation shows that (.) is equivalent to the following inequality:

(I–T)x– (I–T)y,j(xy)λ(I–T)x– (I–T)y (.)

for somej(xy)J(xy) and for everyx,yC.

Now we give a relationship between strict pseudocontractive mapping and nonexpan-sive mapping.

Lemma .([]) Let C be a nonempty closed convex subset of a real-uniformly smooth Banach space E and T:CC be aλ-strict pseudocontractive mapping.Forα∈(, ), we define Tαx:= ( –α)x+αTx.Then,asα∈(,Kλ],where K is the-uniformly smooth

constant.Then Tα:CC is nonexpansive such that F(Tα) =F(T).

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Theorem . Let C be a closed convex subset of a uniformly smooth Banach space E.Let T :CC aλ-pseudocontractive mapping with F(T)=∅,and f :CC a contraction with coefficientα∈[, ).Let{xn}be a sequence generated by the viscosity implicit midpoint

rule:

xn+=αnf(xn) + ( –αn)Tδ

xn+xn+ 

, n≥, (.)

where Tδis a mapping from C into itself defined by Tδx:= ( –δ)x+δTx,xC,δ∈(,Kλ].

Assume that{αn}is a sequence in(, )such that:

(i) limn→∞αn= ,

(ii) ∞n=αn=∞,

(iii) eithern=|αn+–αn|<∞orlimn→∞ααnn+= .

Then{xn}converges strongly to a fixed point q of T,which also solve the variational

in-equality:

(I–f)q,j(xq)≥, xF(T).

(II) Application to variational inequality problems in Banach spaces.

LetCbe a nonempty closed convex subset of a Hilbert spaceHand letA:CHbe a nonlinear mapping. It is well known that the classical variational inequality is to findx∗ such that

Ax∗,xx∗≥, ∀xC. (.)

We denoted by VI(A, C) the set of solutions of (.).

Recently, Cenget al.[] considered the problem of finding (x∗,y∗)∈C×Csatisfying

⎧ ⎨ ⎩

λAy∗+x∗–y∗,xx∗ ≥, ∀xC,

μBx∗+y∗–x∗,xy∗ ≥, ∀x∈C, (.)

which is called a general system of variational inequalities, whereA,B:CH are two nonlinear mappings,λ>  andμ>  are two constants. Precisely, they introduced a re-laxed extragradient method for finding a common element of the set of fixed points of a nonexpansive mapping and the set of solutions of variational inequality problem (.) in a real Hilbert space.

Now we consider the problem of finding (x∗,y∗)∈C×Csatisfying

⎧ ⎨ ⎩

λAy∗+x∗–y∗,j(xx∗) ≥, ∀x∈C,

μBx∗+y∗–x∗,j(xy∗) ≥, ∀xC. (.)

Problem (.) is called the system of general variational inequalities in a real Banach spaces. In particular, ifEis a Hilbert space, then problem (.) becomes problem (.). So our problem (.) contains (.) as a special case.

Recall that a mappingA:CEis called accretive if there exists somej(xy)J(xy) such that

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A mappingA:CEis said to beα-inverse-strongly accretive if there exist somej(xy)J(xy) and a fixed constantα>  such that

AxAy,j(xy)αAxAy, ∀x,yC. (.)

The following lemmas are very important for proving our main results.

Lemma .([]) Let C be a nonempty closed convex subset of a real-uniformly smooth Banach space E.Let QCbe the sunny nonexpansive retraction from E onto C.Let the

map-pings A,B:CE beα-inverse-strongly accretive andβ-inverse-strongly accretive, respec-tively.Let G:CC be a mapping defined by

G(x) =QC

QC(x–μBx) –λAQC(x–μBx)

, ∀xC.

If <λα

Kand <μβ

K,then G:CC is nonexpansive.

Lemma .([]) Let C be a nonempty closed convex subset of a real-uniformly smooth Banach space E.Let QC be the sunny nonexpansive retraction from E onto C. Let A,B:

CE be two nonlinear mappings.For given x∗,y∗∈C, (x∗,y∗)is a solution of problem (.)if and only if x∗=QC(y∗–λAy∗)where y∗=QC(x∗–μBx∗),that is,x∗=Gx∗,where G

is defined by Lemma..

Theorem . Let C be a closed convex subset of a real-uniformly smooth Banach space E, let the mappings A,B:CE beα-inverse-strongly accretive andβ-inverse-strongly accretive with F(G)=∅,where G:CC is a mapping defined by Lemma..Let f : CC be a contraction with coefficientα∈[, ).Let{xn}be a sequence generated by the

viscosity implicit midpoint rule:

⎧ ⎪ ⎪ ⎪ ⎪ ⎪ ⎨ ⎪ ⎪ ⎪ ⎪ ⎪ ⎩

xn+=αnf(xn) + ( –αn)yn,

yn=QC(unλAun),

un=QC(znμBzn),

zn=xn+xn+,

(.)

where <λα

K,  <μβ

K.Suppose that{αn}is a sequence in(, )satisfying:

(i) limn→∞αn= ,

(ii) ∞n=αn=∞,

(iii) eithern=|αn+–αn|<∞orlimn→∞ααnn+= .

Then{xn}converges strongly to a fixed point q of G,which is also the unique solution of

the following variational inequality:

(I–f)q,j(xq)≥, xF(G).

Proof By Lemma ., we see thatGis nonexpansive. So we obtain the desired results by

Theorem . immediately.

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Letφ:C×C→Rbe a bifunction, whereRis the set of real numbers. The equilibrium problem for the functionφis to find a pointxCsatisfying

φ(x,y)≥ for allyC. (.)

We denoted by EP(φ) the set of solutions of (.). This equilibrium problem contains variational inequality problem, optimization problem and the fixed point problem as its special cases (see Blum and Oettli [] for more information).

For solving the equilibrium problem, we need to assume that the bifunctionφ satisfies the following four conditions (see []):

(A) φ(x,x) = for allxC;

(A) φis monotone, that is,φ(x,y) +φ(y,x)≤for allx,yC; (A) φis upper-hemicontinuous,i.e., for anyx,y,zC

lim sup

t→+ φ

tz+ ( –t)x,yφ(x,y);

(A) φ(x,·)is convex and weakly lower semicontinuous for eachxC. In order to prove our main results, we need the following lemmas.

Lemma .([]) Let C be a nonempty closed convex subset of H and letφbe a bifunction of C×C intoRsatisfying(A)-(A).Let r> and xH.Then there exists zC such that

φ(z,y) +

ryz,zx ≥ for all yC.

Lemma .([]) Assume thatφ:C×C→Rsatisfies(A)-(A).For r> and xH, define a mapping Tr:HC as follows:

Tr(x) =

zC:φ(z,y) +

ry–z,zx ≥∀y∈C

for all zH.Then the following hold: () Tris single-valued.

() Tris firmly nonexpansive,i.e.,for anyx,yH,TrxTry≤ TrxTry,xy.

This implies thatTrxTry ≤ xy,∀x,yH,i.e.,Tris a nonexpansive mapping.

() F(Tr) =EP(φ),∀r> .

() EP(φ)is a closed and convex set.

We say that a mappingTis attracting nonexpansive if it is nonexpansive and satisfies

Tx–p<x–p for allx∈/F(T) andpF(T).

The following lemma gives a relationship between a nonexpansive mapping and an at-tracting nonexpansive mapping.

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Theorem . Let C be a nonempty closed convex subset of a real Hilbert space H,φ : C×C→Rbe a bifunction satisfying the conditions(A)-(A).Let T:CC be a nonex-pansive mapping with F=F(T)EP(φ)=∅,and f :CC a contraction with coefficient α∈[, ).Let{xn}be a sequence generated by the viscosity implicit midpoint rule

⎧ ⎪ ⎪ ⎨ ⎪ ⎪ ⎩

xn+=αnf(xn) + ( –αn)Tun,

unC such thatφ(un,y) +ry–un,unzn ≥, ∀y∈C,r> ,

zn=xn+xn+, n≥,

(.)

where{αn}is a sequence in(, )such that:

(i) limn→∞αn= ,

(ii) ∞n=αn=∞,

(iii) eithern=|αn+–αn|<∞orlimn→∞ααnn+= .

Then{xn}converges strongly to a fixed point q of F,which also solves the following

vari-ational inequality:

(I–f)q,j(xq)≥, xF.

Proof We can rewrite (.) as

xn+=αnf(xn) + ( –αn)TTr

xn+xn+ 

. (.)

By Lemma ., we know thatTris firmly nonexpansive. Furthermore, we can prove that

Tris attracting nonexpansive. Indeed, for anyx∈/F(Tr) andyF(Tr), we have

TrxTry≤ TrxTry,xy

= 

TrxTry+x–y–Trxx

,

which implies that

TrxTry≤ xy–Trxx

<x–y.

ThereforeTr is attracting nonexpansive. By Lemma ., we find thatF(TTr) =F(T)

F(Tr) =F(T)EP(φ) =F. So we easily get the desired results by Theorem ..

5 Numerical examples

In the last section, we give two numerical examples where our main results may be applied.

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[image:10.595.117.481.79.287.2]

Figure 1 Comparison.

generated by (.), respectively. Then by Theorem . and Theorem . of [], we find that {xn}and{yn}converge strongly to . We can rewrite (.) and (.) as follows:

xn+= n– 

n xn, (.)

yn+= n

n+ xn. (.)

Choosex=  andy=  in (.) and (.), we get the following numerical results in Figure .

Remark . By Figure , we know that{yn}converges to  more quickly than{xn}. So the

rate of convergence of viscosity implicit midpoint rule (.) is better than viscosity iterative algorithm (.).

Example . Let·,·:R×RRbe the inner product defined by

x, y= x·y=x·y+x·y+x·y

and let · :R →R be the usual norm defined byx=x+y+z for any x = (x,x,x), y = (y,y,y)∈R. For allxR, letT,f :RRbe defined byTx=

x, andf(x) =x, respectively. Let αn= n for eachn∈N. Assume that {xn}is a sequence

generated by (.). We can see easily thatF(T) ={}. Then{xn}converges strongly to .

Moreover, we can rewrite (.) as follows:

xn+= n+ 

n+ xn. (.)

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[image:11.595.114.479.80.462.2]

Figure 2 Two dimension.

Figure 3 Three dimension.

Acknowledgements

This work was supported by the Training Programs of Famous Teachers in Chongqing Normal University (NO.02030307-00047) and the Key Project of Teaching Reforms for Postgraduates in Chongqing (NO.yjg20162006).

Competing interests

The authors declare that there is no conflict of interests regarding this manuscript.

Authors’ contributions

All authors contributed equally to the writing of this paper. All authors read and approved the final manuscript.

Author details

1School of Mathematics Science, Chongqing Normal University, Chongqing, 401331, China.2Department of

Mathematics, University of Nigeria, Nsukka, Nigeria.

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Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Received: 10 October 2016 Accepted: 22 May 2017

References

1. Xu, HK: Viscosity approximation methods for nonexpansive mappings. J. Math. Anal. Appl.298, 279-291 (2004) 2. Moudafi, A: Viscosity approximation methods for fixed points problems. J. Math. Anal. Appl.241, 46-55 (2000) 3. Song, Y, Chen, R, Zhou, H: Viscosity approximation methods for nonexpansive mapping sequences in Banach spaces.

Nonlinear Anal.66, 1016-1024 (2007)

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5. Ceng, LC, Xu, HK, Yao, JC: The viscosity approximation method for asymptotically nonexpansive mappings in Banach spaces. Nonlinear Anal.69, 1402-1412 (2008)

6. Zegeye, H, Shahzad, N: Viscosity methods of approximation for a common fixed point of a family of quasi-nonexpansive mappings. Nonlinear Anal.68, 2005-2012 (2008)

7. Sunthrayuth, P, Kumam, P: Viscosity approximation methods base on generalized contraction mappings for a countable family of strict pseudo-contractions, a general system of variational inequalities and a generalized mixed equilibrium problem in Banach spaces. Math. Comput. Model.58, 1814-1828 (2013)

8. Bader, G, Deuflhard, P: A semi-implicit mid-point rule for stiff systems of ordinary differential equations. Numer. Math. 41, 373-398 (1983)

9. Deuflhard, P: Recent progress in extrapolation methods for ordinary differential equations. SIAM Rev.27(4), 505-535 (1985)

10. Somalia, S: Implicit midpoint rule to the nonlinear degenerate boundary value problems. Int. J. Comput. Math.79(3), 327-332 (2002)

11. Xu, HK, Aoghamdi, MA, Shahzad, N: The viscosity technique for the implicit midpoint rule of nonexpansive mappings in Hilbert spaces. Fixed Point Theory Appl.2015, 41 (2015)

12. Zhou, H: Convergence theorems forλ-strict pseudo-contractions in 2-uniformly smooth Banach spaces. Nonlinear Anal.69, 3160-3173 (2008)

13. Ceng, LC, Wang, C, Yao, JC: Strong convergence theorems by a relaxed extragradient method for a general system of variational inequalities. Math. Methods Oper. Res.67, 375-390 (2008)

14. Cai, G, Bu, S: Convergence analysis for variational inequality problems and fixed point problems in 2-uniformly smooth and uniformly convex Banach spaces. Math. Comput. Model.55, 538-546 (2012)

15. Blum, E, Oettli, W: From optimization and variational inequalities to equilibrium problems. Math. Stud.63, 123-145 (1994)

16. Combettes, PL, Hirstoaga, SA: Equilibrium programming in Hilbert space. J. Nonlinear Convex Anal.6, 117-136 (2005) 17. Chancelier, J-P: Iterative schemes for computing fixed points of nonexpansive mappings in Banach spaces. J. Math.

Figure

Figure 1 Comparison.
Figure 2 Two dimension.

References

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