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Iterative approximation methods for mixed equilibrium problems for a countable family of quasi-ϕ-asymptotically nonexpansive multivalued mappings in Banach spaces

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R E S E A R C H

Open Access

Iterative approximation methods for mixed

equilibrium problems for a countable family

of quasi-

φ

-asymptotically nonexpansive

multivalued mappings in Banach spaces

Rabian Wangkeeree

*

and Pakkapon Preechasilp

*Correspondence: [email protected] Department of Mathematics, Faculty of Science, Naresuan University, Phitsanulok, 65000, Thailand

Abstract

In this paper, we prove the existence of a solution of the mixed equilibrium problem

MEP(f,

ϕ,

C) by using the KKM mapping in a Banach space setting. Then, by virtue of this result, we introduce a hybrid iterative scheme for finding a common element of the set of solutions ofMEP(f,

ϕ,

C) and the set of common fixed points of a countable family of quasi-φ-asymptotically nonexpansive multivalued mappings. Furthermore, we prove that the sequences generated by the hybrid iterative scheme converge strongly to a common element of the set of solutions ofMEP(f,

ϕ,

C) and the set of common fixed points of a countable family of quasi-φ-asymptotically nonexpansive multivalued mappings.

Keywords: mixed equilibrium problems; shrinking projection method; KKM mappings; multivalued mappings

1 Introduction

LetEbe a Banach space with the norm · and the dualE∗. We denote byNandRthe sets of positive integers and real numbers, respectively. Also, we denote the normalized duality mapping fromEto EbyJdefined by

Jx=x∗∈E∗:x,x∗=x=x∗, ∀xE,

where ·,· denotes the generalized duality pairing. Let C be a nonempty, closed and convex subset of a Banach spaceE. The bifunctionf :C×C→Ris said to be relaxed ξ-monotone if there exists a functionξ:E→Rpositively homogeneous of degreep, that is,ξ(tz) =tpξ(z) for allt>  andzE, wherep>  is a constant such that

f(x,y) +f(y,x)≤ξ(yx) for allx,yC. (.)

Ifξ= , thenf is monotone,i.e.,

f(x,y) +f(y,x)≤ for allx,yC.

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Example . LetE=RandC= [, ]. A bifunctionf:C×C→Ris defined by

f(x,y) =y(yx), ∀x,y∈[, ].

It is easy to see thatf(x,y) +f(y,x) = (xy). If we putξ(x) =xfor allxR, thenf is

relaxedξ-monotone, but not monotone.

Let us consider the bifunctionf :C×C→Rand a functionϕ:C→R. The mixed equilibrium problem (in short,MEP(f,ϕ,C)) is to findx˜∈Csuch that

f(x˜,y) +ϕ(y) –ϕ(x˜)≥, ∀yC. (.) Problem (.) was studied by Ceng and Yao [], Cholamjiak and Suantai [] in Hilbert spaces and Banach spaces, resp. By using the well-known KKM technique, they gave the existence and uniqueness of solutions of theMEP(f,ϕ,C) whenf is monotone.

In the case off(x,y) =Ax,η(y,x), whereA:CE∗andη:C×CE, problem (.) is reduced to the following variational-like inequality problem (in short,VLIP(A,ϕ,C)), which is to findx˜∈Csuch that

A(x˜),η(y,x˜)+ϕ(y) –ϕ(x˜)≥, ∀yC. (.) Problem (.) was studied by Fang and Huang []. By using the KKM technique andη-ξ monotonicity of the mappingA, they obtained the existence of solutions of the variational-like inequality problem (.) in a real reflexive Banach space.

In particular, ifϕ≡, problem (.) is reduced to the well-known equilibrium problem (in short,EP(f,C)), which is to findx˜∈Csuch that

f(x˜,y)≥, ∀yC. (.)

TheEP(f,C) includes fixed point problems, optimization problems, variational inequal-ity problems and Nash equilibrium problems as special cases (see also [–]).

LetSbe a mapping fromCinto itself. A mappingSis said to be Lipschitz if there exists a constantL>  such thatSxSyLxyfor allx,yC.Sis said to be nonexpansive, whenL= . A pointpCis said to be a fixed point ofSifSp=p. A pointpCis said to be an asymptotic fixed point ofSif there exists a sequence{xn} ⊂Csuch thatxnxEand

limn→∞xnSxn= . Denote the set of all fixed points ofSand the set of all asymptotic fixed points ofSbyF(S) andFˆ(S), respectively.

Now, we assume thatE is a smooth, strictly convex and reflexive Banach space. The Lyapunov functionφ:E×E→R+is defined by

φ(x,y) =x– x,Jy+y, ∀x,yE.

A mappingS:CCis said to be relatively nonexpansive (see also [–]) if the following conditions are satisfied:

() F(S)is nonempty;

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Lemma .[] Let C be a nonempty,closed and convex subset of a smooth,strictly convex and reflexive Banach space E,and let T be a relatively nonexpansive mapping from C into itself.Then F(T)is closed and convex.

In , Takahashi and Zembayashi [] introduced the following iterative scheme which is called the shrinking projection method:

⎧ ⎪ ⎪ ⎪ ⎪ ⎪ ⎪ ⎪ ⎪ ⎨ ⎪ ⎪ ⎪ ⎪ ⎪ ⎪ ⎪ ⎪ ⎩

xC, C=C,

yn=J–[αnJx+ ( –αn)JSxn],

unC such that

f(un,y) +rnyun,JunJwn ≥, ∀yC,

Cn+={vCn:φ(v,un)≤φ(v,xn)},

xn+=Cn+x, n≥,

(.)

whereJis the duality mapping onE,Cis the generalized projection fromEontoCand

Sis relatively nonexpansive single-valued mapping. They proved that the sequence{xn} converges strongly to a common element of the set of fixed points of a relatively nonex-pansive single-valued mapping and the set of solutions of an equilibrium problem under appropriate conditions in a uniformly smooth and uniformly convex Banach space.

In the case of single-valued mapping, many authors such as in references [, , –] studied the problem of finding a common element of the set of fixed points of a nonexpan-sive or relatively nonexpannonexpan-sive mapping and the set of solutions of an equilibrium problem in the framework of Hilbert spaces and Banach spaces.

Let N(C) andCB(C) denote the family of nonempty subsets and nonempty closed bounded subsets ofC, respectively. The Hausdorff metric onCB(C) is defined by

H(A,B) =max

sup

aA

d(a,B),sup

bB

d(A,b)

for allA,BCB(C), whered(x,D) =inf{xy,yD}. Homaeipour and Razani [] have defined the relatively nonexpansive multivalued mapping as follows.

A multivalued mappingS:CN(C) is said to be relatively nonexpansive if the follow-ing conditions are satisfied:

() F(S)is nonempty;

() φ(p,z)≤φ(p,x)for allxC,pF(S),zSx; () Fˆ(S) =F(S).

It is obvious that the class of relatively nonexpansive multivalued mappings contains prop-erly the class of relatively nonexpansive multivalued mappings (for example, see []). They introduced the following iterative sequence for finding a fixed point of the relatively nonexpansive multivalued mappingS:CN(C):

x∈C,

xn+=C(αnJ(xn) + ( –αn)J(zn)), znSxn,n≥,

(.)

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A multivalued mappingS:CCB(C) is said to be quasi-φ-nonexpansive [, ] if

F(S)=∅and

φ(p,z)≤φ(p,x), ∀xC,pF(S),zSx.

S:CCB(C) is said to be quasi-φ-asymptotically nonexpansive [, ] ifF(S)=∅and there exists a real sequenceln⊂[, +∞) withln→ such that

φ(p,zn)lnφ(p,x), ∀xC,pF(S),znSnx.

We remark from the above definitions that the class of quasi-φ-asymptotically nonex-pansive multivalued mappings contains properly the class of quasi-φ-nonexpansive mul-tivalued mappings as a subclass, and the class of quasi-φ-nonexpansive multivalued map-pings contains properly the class of relatively nonexpansive mapmap-pings as a subclass.

Recently, Yi [] introduced the following modifying Halpern iterative sequence for a quasi-φ-asymptotically nonexpansive multivalued mappingS. Let{xn}be the sequence generated by

⎧ ⎪ ⎪ ⎪ ⎨ ⎪ ⎪ ⎪ ⎩

xC, C=C,

yn=J–[αnJx+ ( –αn)Jzn], znSnxn,

Cn+={vCn:φ(v,yn)≤αnφ(v,x) + ( –αn)φ(v,xn) +ζn},

xn+=Cn+x, n≥,

(.)

whereζn= (ln– )suppF(S)φ(p,xn) and{αn} ⊂(, ). Under suitable conditions, the author proved that{xn}converges strongly toF(S)x.

Motivated and inspired by the above results, we investigate the problem of finding a common element of the set of solutions ofMEP(f,ϕ,C) and the set of common fixed points of a countable family of quasi-φ-asymptotically nonexpansive multivalued mappings in Banach spaces.

The rest of the paper is organized as follows. In Section , we provide necessary con-cepts and lemmas. In Section , we derive the existence and uniqueness of solutions of the auxiliary problems for theMEP(f,ϕ,C) when the bifunctionf is relaxedξ-monotone by using the well-known KKM technique. In Section , we prove that our proposed hybrid iterative scheme converges strongly to a common element of the set ofMEP(f,ϕ,C) and the set of common fixed points of a countable family of quasi-φ-asymptotically nonex-pansive multivalued mappings. In Section , we give an application for a system of mixed equilibrium problems. The last section is the conclusions.

2 Preliminaries

Throughout this paper, letEbe a real Banach space andE∗be its dual space. We writexn

x(respectivelyxnx) to indicate that the sequence{xn}weakly (respectively weak∗) converges tox; as usualxnxwill symbolize strong convergence. LetS(E) ={xE:

x= }denote the unit sphere of a Banach spaceE.

A Banach spaceEis said to have a Gâteaux differentiable norm (we also say thatEis smooth) if the limit

lim

t→

x+tyx

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exists for eachx,yS(E). A Banach spaceEis said to have a uniformly Gâteaux differen-tiable norm if for eachyinS(E), the limit (.) is uniformly attained forxS(E); a Fréchet differentiable norm if for eachxS(E), the limit (.) is attained uniformly foryS(E); a uniformly Fréchet differentiable norm (we also say thatEis uniformly smooth) if the limit (.) is attained uniformly for (x,y)∈S(ES(E).

A Banach spaceEis said to strictly convex if x+y<  forx,yS(E),x=y; uniformly convex if, for anyε∈(, ], there exists δ>  such that for anyx,yS(E),xyε impliesx+y ≤ –δ.

Remark . The following basic properties for the Banach spaceEand for the normalized duality mappingJcan be found in Cioranescu [].

(i) E(E∗, resp.) is uniformly convex if and only ifE(E∗, resp.) is uniformly smooth. (ii) IfEis smooth, thenJis single-valued and norm-to-weak continuous.

(iii) IfEis reflexive, thenJis onto.

(iv) IfEis strictly convex, thenJxJy=∅for allx,yE.

(v) Each uniformly convex Banach spaceEhas the Kadec-Klee property, that is, for any sequence{xn} ⊂E, ifxnxEandxnx, thenxnxE.

(vi) IfEis a strictly convex reflexive Banach space, thenJ–is hemicontinuous, that is, J–is norm-to-weak-continuous.

Recall the Lyapunov functionφdefined by

φ(x,y) =x– x,Jy+y, ∀x,yE.

It follows from the definition of the functionφthat

φx,J–λJy+ ( –λ)Jzλφ(x,y) + ( –λ)φ(x,z), ∀λ∈[, ] andx,y,zE. (.)

Following Alber [], the generalized projectionCfromEontoCis defined by

Cx=arg min

y(y,x), ∀xC.

IfEis a Hilbert space, thenφ(y,x) =yxand

Cis the metric projection ofHontoC. We known the following lemma for generalized projection.

Lemma .[] Let E be a smooth,strictly convex and reflexive Banach space,and let C be a nonempty,closed and convex subset of E.Then the following conclusions hold:

(i) φ(x,y) = if and only ifx=yfor allx,yE;

(ii) φ(x,Cy) +φ(Cy,y)≤φ(x,y)for allxC,for allyE;

(iii) ifxEandzC,thenz=Cxzy,JxJz ≥for allyC. Now, let us recall the following useful concepts and results.

Definition . LetBbe a subset of a topological vector spaceX. A mappingG:B→Xis called a KKM mapping ifco{x,x, . . . ,xm} ⊂mi=G(xi) forxiBandi= , , . . . ,m, where

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Lemma .[] Let B be a nonempty subset of a Hausdorff topological vector space X,

and let G:B→Xbe a KKM mapping.If G(x)is closed for all xB and is compact for at

least one xB,thenxBG(x)=∅.

Definition . A multivalued mappingS:CCB(C) is said to be closed if for any se-quence{xn} ⊂CwithxnxCandd(y,S(xn))→,d(y,S(x)) = .

The following lemmas can be found in [].

Lemma .[, Lemma .] Let E be a real uniformly smooth and strictly convex Banach space with the Kadec-Klee property,and let C be a nonempty,closed and convex subset of E.

Let{xn}and{yn}be two sequences in C such that xnp andφ(xn,yn)→,then ynp.

Lemma .[, Lemma .] Let E be a real uniformly smooth and strictly convex Banach space with the Kadec-Klee property,and let C be a nonempty,closed and convex subset of E.Let S:CCB(C)be a closed and quasi-φ-asymptotically nonexpansive multivalued mapping with nonnegative real sequences{ln} ⊂[,∞),if ln→,then the fixed point set

F(S)of S is a closed and convex subset of C.

3 Existence results of mixed equilibrium problem

In this chapter, we prove the existence theorem forMEP(f,ϕ,C) by using the KKM tech-nique.

Before solving mixed equilibrium problem (.), let us assume the following conditions for a bifunctionf:C×C→R:

(A) f(x,x) = for allxC; (A) f is relaxedξ-monotone,i.e.,

f(x,y) +f(y,x)≤ξ(yx);

(A) for allyC,f(·,y)is upper hemicontinuous,i.e., for allx,y,zC,

lim sup

t↓ f

tz+ ( –t)x,yf(x,y);

(A) for allxC,f(x,·)is convex and lower-semicontinuous.

Lemma . Let C be a nonempty,closed and convex subset of a real smooth,strictly convex and reflexive Banach space E,let f be a bifunction from C×C toRsatisfying(A)-(A),

and letϕbe a lower semicontinuous and convex function from C toR.Let zC.Then the following problems(.)and(.)are equivalent:

Findx˜∈C such that f(x˜,y) +ϕ(y) +  y

˜x

yx˜,Jzϕ(x˜),

yC. (.)

Findx˜∈C such thatϕ(y) + y

˜x

yx˜,Jz+ξ(yx)f(y,x˜) +ϕ(x˜),

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Proof Letx˜∈Cbe a solution of problem (.). It follows from (A) that

≤f(x˜,y) +ϕ(y) –ϕ(x˜) +  y

˜x

yx˜,Jz

=f(x˜,y) +f(y,x˜) –f(y,x˜) +ϕ(y) –ϕ(x˜) + y

˜x

yx˜,Jz

ξ(yx˜) –f(y,x˜) +ϕ(y) –ϕ(x˜) + y

˜x

yx˜,Jz, yC. (.)

Thusx˜∈Cis a solution of problem (.).

Conversely, letx˜∈Cbe a solution of problem (.). For anyt∈(, ], we put

yt= ( –t)x˜+ty. (.)

ThenytC, because of the convexity ofC. Sincex˜∈Cis a solution of problem (.), it follows that

f(yt,x˜)≤ϕ(yt) –ϕ(x˜) +  yt

˜x

y

tx˜,Jz+ξ(ytx) =ϕ(yt) –ϕ(x˜) +

 yt

˜x

y

tx˜,Jz+tpξ(yx). (.) Using (A) and (A), we have

 =f(yt,yt)≤( –t)f(yt,x˜) +tf(yt,y),

and so

tf(yt,x˜) –f(yt,y)

f(yt,x˜). (.)

The convexity of the functionϕimplies that

ϕ(yt) =ϕ

( –t)x˜+ty≤( –t)ϕ(x˜) +(y). (.)

It follows from (.)-(.) and the convexity of  · that

 = f(yt,yt)

≤( –t)f(yt,x˜) +tf(yt,y)

≤( –t)

ϕ(yt) –ϕ(x˜) +  yt

˜x

y

tx˜,Jz+tpξ(yx˜)

+tf(yt,y)

tf(yt,y) + ( –t)

( –t)ϕ(x˜) +(y) –ϕ(x˜) +( –t)  ˜x

+ t

y

–  ˜x

tyx˜,Jz+tpξ(yx˜)

tf(yt,y) + ( –t)t

ϕ(y) –ϕ(x˜) +  y

˜x

yx˜,Jz+tp–ξ(yx˜)

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This implies that

≤f(yt,y) + ( –t)

ϕ(y) –ϕ(x˜) + y

˜x

yx˜,Jz+tp–ξ(yx˜)

. (.)

Taking the upper limitt→ in (.), by (A) andp> , we get that ϕ(x˜)≤f(x˜,y) +ϕ(y) +

y

˜x

yx˜,Jz, yC.

Therefore,x˜is also a solution of problem (.). This completes the proof.

Lemma . Let C be a nonempty,bounded,closed and convex subset of a real smooth,

strictly convex and reflexive Banach space E,let f be a bifunction from C×C toRsatisfying

(A)and(A),and letϕbe a lower semicontinuous and convex function from C toR.Let zC.Assume that

(i) ξ:E→Ris weakly upper semicontinuous;that is,for any net{},xβconverges tox

inσ(E,E∗),which implies thatξ(x)≤lim infξ().

Then the solution set of problem(.)is nonempty;that is,there existsx˜∈C such that f(x˜,y) +ϕ(y) + 

y

˜x

yx˜,Jzϕ(x˜), yC. (.)

Proof LetzC. Define two set-valued mappingsFz,Gz:C→Cas follows:

Fz(y) =

xC:f(x,y) +ϕ(y) +  y

x

yx,Jzϕ(x)

and

Gz(y) =

xC:ϕ(y) + y

x

yx,Jz+ξ(yx)f(y,x) +ϕ(x)

for everyyC. It is easily seen thatyFz(y) andyGz(y), and henceFz(y) andGz(y) are nonempty.

(a) We claim thatFz is a KKM mapping. IfFzis not a KKM mapping, then there exist

{y, . . . ,yn} ⊂Kandμi> ,i= , . . . ,n, such that n

i=

μi= , y= n

i=

μiyi∈/ n

i=

Fz(yi). (.)

By the definition ofFz, we have

f(y,yi) +ϕ(yi) –ϕ(y) +  yi

y

y

iy,Jz<  (.) for alli= , . . . ,n. It follows from (A), (A), the convexity ofϕand 

 · that

 = f(y,y) +ϕ(y) –ϕ(y) + y

y

yy,Jz

n i= μi

f(y,yi) +ϕ(yi) –ϕ(y) +

 yi

y

y

iy,Jz

< , (.)

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(b) We claim thatGzis a KKM mapping. It is sufficient to show that

Fz(y)⊂Gz(y), ∀yC.

For any givenyC, takingxFz(y), then

f(x,y) +ϕ(y) –ϕ(x) +  y

x

yx,Jz. (.)

It follows from the relaxedξ-monotonicity off that

ϕ(y) + y

x

yx,Jz+ξ(yx)f(y,x) +ϕ(x).

It follows thatxGz(y) and so

Fz(y)⊂Gz(y), ∀yC.

This implies thatGzis also a KKM mapping.

(c) We show thatGz(y) is weakly closed for allyC. Let{un}be a sequence inGz(y) such thatunuasn→ ∞. It then follows fromunGz(y) that

ϕ(y) + y

un

yu

n,Jz+ξ(yun)≥f(y,un) +ϕ(un), ∀yC. (.) By (A), the weak lower semicontinuity ofϕand · , and the weak upper semicontinuity ofξ, we obtain from (.) that

f(y,u) +ϕ(u)≤lim inf

n→∞ f(y,un) +lim infn→∞ ϕ(un)

≤lim inf

n→∞

f(y,un) +ϕ(un)

≤lim sup

n→∞

ϕ(y) +  y

un

yu

n,Jz+ξ(yun)

ϕ(y) +  y

lim inf

n→∞

 un

lim inf

n→∞yun,Jz

+lim sup

n→∞ ξ(yun)

=ϕ(y) +  y

u

yu,Jz+ξ(yu).

This shows thatuGz(y) and henceGz(y) is weakly closed for allyC.

(d) We prove thatGz(y) is weakly compact. SinceC is a closed, bounded and convex subset of a reflexive Banach spaceE, it is weakly compact. Again, sinceGz(y) is a weakly closed subset ofC, we also haveGz(y) is weakly compact.

By using (a)-(d) and Lemma . and Lemma . that

yC

Fz(y) =

yC

Gz(y)=∅.

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Proposition . Let C be a nonempty,closed and convex subset of a real smooth,strictly convex and reflexive Banach space E,ψ:C→Rbe a convex function.The following two inequalities are equivalent:

there existsx˜∈C such thatψ(x˜) = andψ(y) +yx˜,Jx˜ ≥, ∀yC (.)

and

there existsx˜∈C such thatψ(x˜) = andψ(y) + y

˜x

, yC. (.)

Proof Letx˜satisfy (.). It is well known that

yx,Jx ≤ 

y

x

, x,yE.

Then

≤ψ(y) +yx˜,Jx˜

=ψ(y) +yx˜,Jx˜

ψ(y) +  y

˜x

.

Let x˜ satisfy (.). For anyt∈(, ], let yt = ( –t)x˜+ty. ThenytC because of the convexity ofC, and so

ψ(yt) +  yt

˜x

y

tx˜,Jz ≥.

Notice that in a real smooth, strictly convex reflexive Banach spaceE, the duality mapping

J is single-valued, -, and onto. Since   ·

is continuous and Gâteaux differentiable,

from the mean value theorem, there existsαt∈(, ) such that 

yt

˜x

=y

tx˜,Jwαt, wherewαt=αtx˜+ ( –αt)yt. Hence

≤ψ(y) +  y

˜x

=ψ(yt) +ytx˜,Jwαt

≤( –t)ψ(x˜) +(y) +tyx˜,Jwαt =(y) +tyx˜,Jwαt.

Dividingtin the above inequality, we get

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By the existence ofwαt,wαt→ ˜xast→. SinceJis norm-to-weak∗continuous, we have that

≤ψ(y) +yx˜,Jx˜.

This completes the proof.

Remark . Ifx˜∈Cis a solution of (.), then

f(x˜,y) +ϕ(y) +  y

˜x

yx˜,Jzϕ(x˜), yC.

For any fixedzE, we putψx(˜ y) =f(x˜,y) +ϕ(y) –ϕ(x˜) –yx˜,Jzfor allyC. Obviously, ψ˜x(x˜) =  andψx˜ is a convex function, since the linearity of a duality mapping and the convexity off(x˜,·) andϕ. Hence

ψ˜x(y) + y

˜x

, yC.

It then follows from Proposition . thatx˜is a solution of the following problem:

f(x˜,y) +ϕ(y) +yx˜,Jx˜–Jzϕ(x˜), ∀yC.

The existence result relaxes the results of Ceng and Yao [] and Cholamjiak and Suantai [], because of theξ-monotonicity off.

Lemma . Let C be a closed,bounded and convex subset of a uniformly smooth,strictly convex Banach space E,let f be a bifunction from C×C toRsatisfying(A)-(A),and let

ϕbe a lower semicontinuous and convex function from C toR.Suppose further that (i) ξ:E→Ris weakly upper semicontinuous;

(ii) ξ(yx) +ξ(xy)≤.

Define a mapping Tr(z) :EC as follows:

Tr(z) =

xC:f(x,y) +ϕ(y) +

ryx,JxJzϕ(x),∀yC

. (.)

Then

() Tris single-valued;

() Tris a firmly nonexpansive mapping,i.e.,for allx,yE,

Tr(x) –Tr(y),JTr(x) –JTr(y)≤Tr(x) –Tr(y),JxJy;

() F(Tr) =MEP(f,ϕ,C);

() MEP(f,ϕ,C)is closed and convex; () φ(p,Trx) +φ(Trx,x)≤φ(p,x).

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() For eachzE, letx,xTr(z). Then

f(x,x) +ϕ(x) +

rxx,JxJzϕ(x) (.)

and

f(x,x) +ϕ(x) +

rx–x,Jx–Jzϕ(x). (.)

Adding (.) and (.), we have

f(x,x) +f(x,x) +

rxx,JxJz+

rxx,JxJz ≥,

and so

f(x,x) +f(x,x) +

rxx,JxJx ≥. (.)

By the relaxedξ-monotonicity off, we know that

xx,JxJx ≥–(yx). (.)

In (.) exchanging the position ofxandx, we get

f(x,x) +f(x,x) +

rxx,JxJx ≥, (.)

and so

xx,JxJx ≥–(yx). (.)

Now, adding inequalities (.) and (.), by using (ii), we have

xx,JxJx ≥–r

ξ(yx) +ξ(yx)≥.

SinceJis monotone andEis strictly convex, we havex=x, and soTr(z) is single-valued. () Forx,yC, we have that

f(Trx,Try) +ϕ(Try) –ϕ(Trx) + 

rTryTrx,JTrxJx ≥

and

f(Try,Trx) +ϕ(Trx) –ϕ(Try) + 

rTrxTry,JTryJy ≥.

Adding the two inequalities above, we get that

f(Trx,Try) +f(Try,Trx) + 

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From (A), we obtain that

ξ(TryTrx) + 

rTryTrx,JTrxJTryJx+Jy ≥. (.)

In (.), interchanging the position ofTrxandTry, we get

ξ(TrxTry) + 

rTrxTry,JTryJTrxJy+Jx ≥. (.)

Again adding (.) and (.), we get

ξ(TryTrx) +ξ(TrxTry) + 

rTryTrx,JTrxJTryJx+Jy ≥.

It follows from (ii) andr>  that

TrxTry,JTrxJTryTryTrx,JxJy.

() Indeed, we have the following:

pF(Tr)p=Trp

f(p,y) +ϕ(y) –ϕ(p) +

ryp,JpJp ≥, ∀yC

f(p,y) +ϕ(y) –ϕ(p)≥, ∀yC

pMEP(f,ϕ,C).

() We claim that MEP(f,ϕ,C) is closed and convex. Indeed, from () we have

MEP(f,ϕ,C) =F(Tr). From () we have, for allx,yC,

Tr(x) –Tr(y),JTr(x) –JTr(y)≤Tr(x) –Tr(y),JxJy. Moreover, we have

φ(Trx,Try) +φ(Try,Trx) = Trx–Trx,JTryTry,JTrx+ Try = Trx,JTrxJTry+ Try,TryJTrx = TrxTry,JTrxJTry

and

φ(Trx,y) +φ(Try,x) –φ(Trx,x) –φ(Try,y)

=Trx– Trx,Jy+y+Try–Try,Jx+x = –Trx+ Trx,Jxx–Try+Try,Jyy = Trx,JxJy– Try,JxJy

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Hence, we have

φ(Trx,Try) +φ(Try,Trx)≤φ(Trx,y) +φ(Try,x) –φ(Trx,x) –φ(Try,y). (.) So, we have, for anyx,yC,

φ(Trx,Try) +φ(Try,Trx)≤φ(Trx,y) +φ(Try,x).

Next, we show thatFˆ(Tr) =MEP(f,ϕ,C). Letp∈ ˆF(Tr). Then there exists{un} ⊂Esuch thatznpandlimn→∞(unTrun) = . Moreover, we get thatTrunp. Since the duality mappingJis uniformly continuous on a bounded set, we get

lim

n→∞ 

rJunJTrun= .

From the definition ofTr, we have

f(Trun,y) + 

ryTrun,JTrunJunϕ(Trun).

Since

ryTrun,JTrunJun

ϕ(Trun) –ϕ(y) –f(Trun,y)

ϕ(Trun) –ϕ(y) +f(y,Trun) –ξ(yTrun).

By (A), the convexity and lower semicontinuity ofϕ(x) and the weak upper semicontinu-ity ofξ, we can obtain that

≥lim inf

n→∞

ϕ(Trun) –ϕ(y) +f(y,Trun) –ξ(yTrun)

=lim inf

n→∞ ϕ(Trun) –ϕ(y) +lim infn→∞ f(y,Trun) –lim supn→∞ ξ(yTrun)

ϕ(p) –ϕ(y) +f(y,p) –ξ(yp).

This implies that

ϕ(p) –ϕ(y) +f(y,p) –ξ(yp)≤, ∀yC. (.)

LetyKand setpt=ty+ ( –t)pfort∈(, ]. It follows from (A) and (A) that  =f(pt,pt)

≤( –t)f(pt,p) +tf(pt,y). (.)

The convexity of the functionϕimplies that

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It follows from (.)-(.) that

 = f(pt,pt) (.)

≤( –t)f(pt,p) +tf(pt,y)

tf(pt,y) + ( –t)

ϕ(pt) –ϕ(p) +tpξ(yp)

tf(pt,y) + ( –t)

( –t)ϕ(p) +(y) –ϕ(p) +tpξ(yp)

=tf(pt,y) + ( –t)t

ϕ(y) –ϕ(p) +tp–ξ(yp). (.)

Dividing byt, we have

≤f(pt,y) + ( –t)

ϕ(y) –ϕ(p) +tp–ξ(yp). (.)

By (A) andp> , taking the upper limitt→ in (.), we get

f(p,y) +ϕ(y)≥ϕ(p), ∀yC.

Hence,pMEP(f,ϕ,C), and soF(Tr) =MEP(f,ϕ,C) =Fˆ(Tr). Therefore, we haveTr is a relatively nonexpansive mapping. From Lemma .,MEP(f,ϕ,C) =F(Tr) is closed and convex.

() From (.) we have, for allx,yE,

φ(Trx,Try) +φ(Try,Trx)≤φ(Trx,y) +φ(Try,x) –φ(Trx,x) –φ(Try,y). Lettingy=pF(Tr), we have

φ(p,Trx) +φ(Trx,x)≤φ(p,x).

This completes the proof.

4 Strong convergence theorems

Before proving the convergence theorem, we recall some definitions of a countable family of multivalued mappings{Si:CCB(C)}∞i=.

Definition . {Si}∞i=is said to be a family of uniformly quasi-φ-asymptotically

nonex-pansive mappings [] ifF:=∞i=F(Si)=∅and there exists a sequence{ln} ⊂[,∞) with

ln→ such that for eachi≥,

φ(p,zn,i)≤lnφ(p,x), ∀pF,zn,iSnix,∀n≥.

Definition . A mappingS:CCB(C) is said to be uniformlyL-Lipschitz continuous [] if there exists a constantL>  such thatxnynLxyfor allx,yC,xnTnx,

ynTny.

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f be a bifunction from C×C toRsatisfying(A)-(A),and letϕ be a lower semicontin-uous and convex function from C toR.Let{Si:CCB(C)}∞i= be a family of closed and uniformly quasi-φ-asymptotically nonexpansive multivalued mappings with a sequence

{ln} ⊂[,∞),ln→.Suppose that for each i≥,Siis uniformly Li-Lipschitz continuous

andFMEP(f,ϕ,C)=∅.

Let{xn}be a sequence in C generated by

⎧ ⎪ ⎪ ⎪ ⎪ ⎪ ⎪ ⎪ ⎪ ⎨ ⎪ ⎪ ⎪ ⎪ ⎪ ⎪ ⎪ ⎪ ⎩

x∈C, C=C, wn=J–(αn,Jx+

i=αn,iJzn,i), zn,iSinxn,

unK such that

f(un,y) +ϕ(y) +rnyun,JunJwnϕ(un),yC,

Cn+={vCn:φ(v,un)αn,φ(v,x) + ( –αn,)φ(v,xn) +ζn},

xn+=Cn+x, n≥,

(.)

where for each{rn}∞n=⊂[a,∞)for some a> ,{αn,i}∞n=,i=⊂[, ],andζn=supuF(ln– )φ(u,xn).Ifi=αn,i= ,∀n≥,limn→∞αn,= ,then{xn}converges strongly as n→ ∞

tox,where:=FMEP(f,ϕ,C).

Proof We divide the proof into five steps. Firstly, we rewrite algorithm (.) as follows:

⎧ ⎪ ⎪ ⎪ ⎨ ⎪ ⎪ ⎪ ⎩

xC, C=C,

wn=J–(αn,Jx+∞i=αn,iJzn,i), zn,iSinxn,

Cn+={vCn:φ(v,Trnwn)≤αn,φ(v,x) + ( –αn,)φ(v,xn) +ζn},

xn+=Cn+x, n≥,

(.)

whereTris the mapping defined by (.) for allr> .

Step . We first show that the sequence{xn}is well defined. It suffices to prove thatCn is closed and convex and thatCnfor alln≥. Suppose thatCnis closed and convex for somen≥. By the definition ofφ, we have

Cn+=

vCn:φ(v,un)αn,φ(v,x) + ( –αn,)φ(v,xn) +ζn

=vC:φ(v,un)αn,φ(v,x) + ( –αn,)φ(v,xn) +ζn

Cn =vC: αn,v,Jx+ ( –αn,)v,Jxn– v,Jun

αn,x+ ( –αn,)xn–yn+ζn

Cn.

This shows thatCn+is closed and convex. The conclusions are proved.

Step . Next, we prove thatCnfor alln≥. In fact, it is obvious thatC:=C. SupposeCnfor somen≥. Hence, for anyp, it follows from Lemma .() that

φ(p,un) =φ(p,Trnwn)≤φ(p,wn) =φ

p,J–

αn,Jx+ ∞

i=

αn,iJzn,i

αn,φ(p,x) + ∞

i=

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αn,φ(p,x) + ( –αn,)lnφ(p,xn)

αn,φ(p,x) + ( –αn,)

φ(p,xn) + (ln– )φ(p,xn)

αn,φ(p,x) + ( –αn,)

φ(p,xn) + (ln– )sup pF

φ(p,xn)

=αn,φ(p,x) + ( –αn,)φ(p,xn) +ζn. (.)

This shows thatpCn+. HenceCnfor alln≥.

Step . We show that{xn}converges strongly to some pointx˜. Sincexn=Cnx, from Lemma .(iii), we have that

xny,Jx–Jxn ≥, ∀yCn.

Also, sinceFCn, we have

xnp,JxJxn ≥, ∀pF.

It follows from Lemma .(ii) that for eachpFand for eachn≥,

φ(xn,x) =φ(Cnx,x)≤φ(p,x) –φ(p,xn)φ(p,x).

Therefore,{φ(xn,x)}is bounded, and so is{xn}. Sincexn=Cnxandxn+=Cn+x

Cn+⊂Cn, we have

φ(xn,p)≤φ(xn+,p), ∀n≥.

That is,{φ(xn,p)}is a nondecreasing sequence, and solimn→∞φ(xn,p) exists. SinceEis

reflexive, there exists a subsequence{xni} ⊂ {xn}such thatxnix˜∈C. SinceCnis closed, convex and Cn+⊂Cn, we get thatCn is weakly closed andx˜∈Cnfor alln≥. Since

xni=Cnix, we have

φ(xni,x)≤φ(x˜,x), ∀ni≥.

By the weak lower semicontinuity of · , we have

lim inf

ni→∞φ(xni,x) =lim infni→∞

xni– xni,Jx+x

≥ ˜x– ˜x,Jx+x

=φ(x˜,x),

and so

φ(x˜,x)≤lim inf

i→∞ φ(xni,x)≤lim supi→∞ φ(xni,x)≤φ(x˜,x).

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together withlimn→∞φ(xni,x) =φ(x˜,x) implies thatlimn→∞φ(xn,x) =φ(x˜,x). If there

exists a subsequence{xnj} ⊂ {xn}such thatxnjxˆ. Then by Lemma .(ii) we have that φ(x˜,xˆ) = lim

i,j→∞φ(xni,xnj) =i,limj→∞φ(xni,Cnjx)

≤ lim

i,j→∞

φ(xni,x) –φ(Cnjx,x)

= lim

i,j→∞

φ(xni,x) –φ(xnj,x)

=φ(x˜,x) –φ(x˜,x). Hencex˜=xˆ, and so

lim

n→∞xn=x˜. (.)

This implies that

ζn= (ln– )sup

p(p,xn)→. (.)

Step . We prove thatx˜∈F. Sincexn=Cnx, by Lemma .(ii) we get that φ(x,xn)φ(x,x) –φ(xn,x), ∀xCn.

Sincexn+∈Cn+⊂Cn, we get that φ(xn+,xn)φ(xn+,x) –φ(xn,x).

Sincelimn→∞φ(xn,x) =φ(x˜,x), we get that lim

n→∞φ(xn+,xn) = . (.)

Sincexn+∈Cn+, we have from (.) that

φ(xn+,un)αn,φ(v,x) + ( –αn,)φ(xn+,xn) +ζn. (.)

Bylimn→∞αn,= , (.) and (.), it implies that

lim

n→∞φ(xn+,un) = , (.)

which together with (.) and Lemma . give that

lim

n→∞un=x˜. (.)

Recall from (.) that

φ(p,un)≤φ(p,wn)≤αn,φ(p,x) + ( –αn,)φ(p,xn) +ζn. It follows fromlimn→∞αn,= , (.), (.) and (.) that

lim

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By Lemma ., we get that

φ(un,wn)≤φ(p,wn) –φ(p,un)→ asn→ ∞. (.) It follows from Lemma . andlimn→∞un=x˜that

lim

n→∞wn=x˜. (.)

From (.), we get that

JwnJzn,i=αn,JxJzn,i, ∀i≥.

Sincelimn→∞αn,=  and the boundedness of{zn,i},

lim

n→∞JwnJzn,i= , ∀i≥. (.)

SinceJwnJx˜, we have from the uniform continuity ofJ thatJzniJx˜ for alli≥. Remark .(vi) gives that

zn,ix˜, ∀i≥. (.)

Again, since

zn,i–˜x = Jzn,iJx˜ ≤ Jzn,iJx˜ → asn→ ∞,∀i≥, (.)

it follows from (.), (.) and the Kadec-Klee property ofEthat

lim

n→∞zn,i=x˜, ∀i≥. (.)

For alli≥, we consider

d(Sizn,i,zn,i)≤d(Sizn,i,zn+,i) +zn+,ixn++xn+–xn+xnzn,i

dSni+xn,Sni+xn+

+zn+,ixn++xn+–xn+xnzn,i

Lixnxn++zn+,ixn++xn+–xn+xnzn,i = (Li+ )xnxn++zn+,ixn++xnzn,i.

From (.) and (.), we get thatd(Sizn,i,zn,i)→ asn→ ∞for alli≥. By (.) and

the closedness ofSi, we havex˜∈Six˜for alli≥, and sox˜∈F. Step . We show thatx˜∈MEP(f,ϕ,C). Sinceun=Trnwn, we derive

f(un,y) +ϕ(y) + 

rn

yun,JunJwnϕ(un),yC.

From relaxedξ-monotonicity off, we have

rn

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SinceJunrnJwn→ andun→ ˜x. By (A), the lower semicontinuity ofϕand the upper semi-continuity ofξ, we have

f(y,x˜) –ξ(yx˜)≤lim inf

n→∞ f(y,un) –lim supn→∞ ξ(yun)

≤lim inf

n→∞

f(y,un) –ξ(yun)

≤lim inf

n→∞

rn

yun,JunJwn+ϕ(y) –ϕ(un)

=ϕ(y) –lim sup

n→∞ ϕ(un)

=ϕ(y) –ϕ(x˜), ∀yC.

For allyCandt∈(, ], letyt=ty+ ( –t)x˜. SinceCis convex, we haveytC, and then

f(yt,x˜) –ϕ(yt) +ϕ(x˜)≤ξ(ytx˜).

Using (A) and (A), we have

 =f(yt,yt)≤( –t)f(yt,x˜) +tf(yt,y). (.)

The convexity of the functionϕimplies that

ϕ(yt) =ϕ

( –t)x˜+ty≤( –t)ϕ(x˜) +(y). (.)

This implies that

 = f(yt,yt)

≤( –t)f(yt,x˜) +tf(yt,y)

tf(yt,y) + ( –t)

ϕ(yt) –ϕ(x˜) +ξ(ytx˜)

tf(yt,y) + ( –t)t

ϕ(y) –ϕ(x˜) +tp–ξ(yx˜).

This implies that

≤f(yt,y) + ( –t)

ϕ(y) –ϕ(x˜) +tp–ξ(yx˜). (.)

By (A) andp> , taking the upper limitt→ in (.), we get

f(x˜,y) +ϕ(y) –ϕ(x˜)≥, ∀yC.

Therefore,x˜∈MEP(f,ϕ,C).

Step . Finally, we prove thatx˜=x. Letw=x. Thenφ(w,x)≤φ(x˜,x). SincewCn, for alln≥ andxnCnx, we have

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Sincexn→ ˜x, we get that

φ(x˜,x) =˜x– ˜x,Jx+x

= lim

n→∞

xn– xn,Jx+x

= lim

n→∞φ(xn,x)≤φ(w,x).

Hencexn→ ˜x=x.

In the case off ≡ andϕ≡ in Theorem ., we have the following corollary.

Corollary . Let E be a real uniformly smooth and strictly convex Banach space with the Kadec-Klee property,and let C be a nonempty,bounded,closed and convex subset of E.

Let{Si:CCB(C)}∞i=be a family of closed and uniformly quasi-φ-asymptotically non-expansive multivalued mappings with a sequence{ln} ⊂[,∞),ln→.Suppose that for

each i≥,Siis uniformly Li-Lipschitz continuous andF=∅.Let{xn}be a sequence in C

generated by

⎧ ⎪ ⎪ ⎪ ⎨ ⎪ ⎪ ⎪ ⎩

xC, C=C,

wn=J–(αn,Jx+

i=αn,iJzn,i), zn,iSinxn,

Cn+={vCn:φ(v,wn)αn,φ(v,x) + ( –αn,)φ(v,xn) +ζn},

xn+=Cn+x, n≥,

(.)

where{αn} ⊂[, ],andζn=supuF(S)(ln– )φ(u,xn).Iflimn→∞αn= ,then{xn}converges

strongly as n→ ∞tox,where:=F(S)∩MEP(f,ϕ,K).

IfSi=S, for alli≥, then the following corollary follows from Theorem ..

Corollary . Let E be a real uniformly smooth and strictly convex Banach space with the Kadec-Klee property,and let C be a nonempty,bounded,closed and convex subset of E.Let f be a bifunction from C×C toRsatisfying(A)-(A),and letϕbe a lower semicontinuous and convex function from C toR.Let S:CCB(C)be a closed and uniformly L-Lipschitz continuous quasi-φ-asymptotically nonexpansive multivalued mapping with a sequence

{ln} ⊂[,∞),ln→with F(S)∩MEP(f,ϕ,C)=∅.Let{xn}be a sequence in C generated

by

⎧ ⎪ ⎪ ⎪ ⎪ ⎪ ⎪ ⎪ ⎪ ⎨ ⎪ ⎪ ⎪ ⎪ ⎪ ⎪ ⎪ ⎪ ⎩

xC, C=C,

wn=J–[αnJx+ ( –αn)Jzn], znSnxn,

unC such that

f(un,y) +ϕ(y) +rnyun,JunJwnϕ(un),yC,

Cn+={vCn:φ(v,un)≤αn,φ(v,x) + ( –αn,)φ(v,xn) +ζn},

xn+=Cn+x, n≥,

(.)

where for each {rn}∞n= ⊂[a,∞) for some a> , {αn} ⊂[, ], and ζn=supuF(S)(ln– )φ(u,xn). If limn→∞αn = , then {xn} converges strongly as n → ∞ to x, where

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In the case of f ≡ andϕ≡ in Corollary ., we can omit the boundedness ofC

(necessary for the existence of a mappingTr), so we have the following corollary.

Corollary . [, Theorem .] Let E be a real uniformly smooth and strictly convex Banach space with the Kadec-Klee property,let C be a nonempty,closed and convex subset of E,and let S:CCB(C)be a closed and uniformly L-Lipschitz continuous quasi-φ -asymptotically nonexpansive multivalued mapping with nonnegative real sequences{ln} ⊂ [,∞)and ln→with F(S)being a nonempty bounded subset.Let{αn}be a sequence in (, ).Let{xn}be the sequence generated by

⎧ ⎪ ⎪ ⎪ ⎨ ⎪ ⎪ ⎪ ⎩

x∈C, C=C,

yn=J–[αnJx+ ( –αn)Jzn], znSnxn,

Cn+={vCn:φ(v,yn)αnφ(v,x) + ( –αn)φ(v,xn) +ζn},

xn+=Cn+x, n≥,

(.)

whereζn= (ln– )suppF(S)φ(p,xn).Ifαn→,then{xn}converges strongly toF(S)x.

5 Application

We utilize Theorem . to study a modified Halpern iterative algorithm for a system of mixed equilibrium problems.

Theorem . Let E be a real uniformly smooth and strictly convex Banach space with the Kadec-Klee property,and let C be a nonempty,bounded,closed and convex subset of E.Let fi:C×C→R,i= , , . . . ,be a countable family of bifunctions satisfying conditions(A) -(A),and letϕi:C→R,i= , , . . . ,be a countable family of lower semicontinuous and

con-vex functions satisfying conditions(i)-(ii)as in Lemma.with=∞i=MEP(fi,ϕi,C)=∅.

Let{xn}be a sequence in C generated by

⎧ ⎪ ⎪ ⎪ ⎪ ⎪ ⎪ ⎪ ⎪ ⎨ ⎪ ⎪ ⎪ ⎪ ⎪ ⎪ ⎪ ⎪ ⎩

x∈C, C=C, un,iC such that

fi(un,i,y) +ϕi(y) +ryun,i,Jun,iJxn,iϕ(un,i),yC,r> ,i≥, yn=J–(αn,Jx+∞i=αn,iJun,i),

Cn+={vCn:φ(v,yn)≤αn,φ(v,x) + ( –αn,)φ(v,xn) +ζn},

xn+=Cn+x, n≥,

(.)

where{αn} ⊂[, ],andζn=supuF(S)(ln– )φ(u,xn).Iflimn→∞αn= ,then{xn}converges

strongly as n→ ∞tox,which is a common solution of the system of mixed equilibrium problems.

Proof For anyi= , , . . . , we define a mappingTr,i(z) :ECas follows:

Tr,i(z) =

xC:fi(x,y) +ϕi(y) +

ryx,JxJzϕi(x),∀yC

.

From Lemma ., we get thatun,i=Tr,ixnandF(Tr,i) =MEP(fi,ϕi,C) for alli= , , . . . ,

References

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