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Volume 2010, Article ID 756492,22pages doi:10.1155/2010/756492

Research Article

Strong Convergence for Mixed Equilibrium

Problems of Infinitely Nonexpansive Mappings

Jintana Joomwong

Division of Mathematics, Faculty of Science, Maejo University, Chiang Mai 50290, Thailand Correspondence should be addressed to Jintana Joomwong,[email protected]

Received 29 March 2010; Accepted 24 May 2010

Academic Editor: Tomonari Suzuki

Copyrightq2010 Jintana Joomwong. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

We introduce a new iterative scheme for finding a common element of infinitely nonexpansive mappings, the set of solutions of a mixed equilibrium problems, and the set of solutions of the variational inequality for anα-inverse-strongly monotone mapping in a Hilbert Space. Then, the strong converge theorem is proved under some parameter controlling conditions. The results of this paper extend and improve the results of Jing Zhao and Songnian He2009and many others. Using this theorem, we obtain some interesting corollaries.

1. Introduction

LetHbe a real Hilbert space with norm·and inner product·,·. And letCbe a nonempty closed convex subset ofH. Letϕ :C → Rbe a real-valued function and letΘ:C×C → R be an equilibrium bifunction, that is,Θu, u 0 for eachuC. Ceng and Yao1considered the following mixed equilibrium problem.

Findx∗∈Csuch that

Θx, yϕyϕx0, yC. 1.1

The set of solutions of1.1is denoted by MEPΘ, ϕ.It is easy to see thatx∗is the solution of problem 1.1and x∗ ∈ domϕ {xϕx < ∞}. In particular, ifϕ ≡ 0, the mixed equilibrium problem1.1reduced to the equilibrium problem.

Findx∗∈Csuch that

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The set of solutions of1.2 is denoted by EPΘ. Ifϕ ≡ 0 and Θx, y Ax, yx for allx, yC, whereAis a mapping fromCtoH, then the mixed equilibrium problem1.1 becomes the following variational inequality.

Findx∗∈Csuch that

Ax, yx, yC. 1.3

The set of solutions of1.3is denoted by VIA, C.

The variational inequality and the mixed equilibrium problems which include fixed point problems, optimization problems, variational inequality problems have been extensively studied in literature. See, for example,2–8.

In 1997, Combettes and Hirstoaga 9 introduced an iterative method for finding the best approximation to the initial data and proved a strong convergence theorem. Subsequently, Takahashi and Takahashi7introduced another iterative scheme for finding a common element of EPΘ and the set of fixed points of nonexpansive mappings. Furthermore,Yao et al.8,10introduced an iterative scheme for finding a common element of EPΘand the set of fixed points of finitelyinfinitelynonexpansive mappings.

Very recently, Ceng and Yao 1 considered a new iterative scheme for finding a common element of MEPΘ, ϕ and the set of common fixed points of finitely many nonexpansive mappings in a Hilbert space and obtained a strong convergence theorem.

Now, we recall that a mappingA:CHis said to be

imonotone ifAuAv, u−v ≥0,for allu, vC,

iiL-Lipschitz if there exists a constant L > 0 such that AuAvLu

v,for allu, vC,

iiiα-inverse strongly monotone if there exists a positive real numberαsuch thatAu

Av, uvαAuAv2,for allu, vC.

It is obvious that anyα-inverse strongly monotone mappingAis monotone and Lipscitz. A mappingS:CCis called nonexpansive ifSuSvuv,for allu, vC.We denote byFS:{xC:Sxx}the set of fixed point ofS.

In 2006, Yao and Yao11introduced the following iterative scheme.

LetCbe a closed convex subset of a real Hilbert space. LetAbe anα-inverse strongly monotone mapping ofCintoHand letSbe a nonexpansive mapping ofCinto itself such thatFS∩VIA, C/∅. Suppose thatx1uCand{xn}and{yn}are given by

ynPCxnλnAxn,

xn1 αnuβnxnγnSPCynλnAyn,

1.4

where{αn},{βn}, and{γn}are sequence in0,1and{λn}is a sequence in0,2λ. They proved

that the sequence{xn}defined by1.4converges strongly to a common element ofFS

VIA, Cunder some parameter controlling conditions.

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problem for anα-inverse strongly monotone mapping in a real Hilbert space. Suppose that

x1uCand{xn},{yn}, and{un}are given by

Θun, yr1

n

yun, unxn≥0,yC,

ynPCunλnAun,

xn1 αnuβnxnγnSPCynλnAyn,

1.5

where{αn},{βn}, and{γn}are sequence in 0,1,{λn}is a sequence in0,2λ, and {rn} ⊂ 0,∞. Under some parameter controlling conditions, they proved that the sequence {xn}

defined by1.5converges strongly toPFSVIA,C∩EPΘu.

On the other hand, Yao et al. 8introduced an iterative scheme 1.7for finding a common element of the set of solutions of an equilibrium problem and the set of common fixed point of infinitely many nonexpansive mappings inH. Let {Tn}∞n1 be a sequence of nonexpansive mappings ofCinto itself and let{tn}n∞1be a sequence of real number in0,1. For eachn≥1, define a mappingWnofCinto itself as follows:

Un,n1I,

Un,ntnTnUn,n1 1−tnI,

Un,n−1tn−1Tn−1Un,n 1−tn−1I,

.. .

Un,ktkTkUn,k1 1−tkI,

Un,k−1tk−1Tk−1Un,k 1−tk−1I,

.. .

Un,2t2T2Un,3 1−t2I,

WnUn,1t1T1Un,2 1−t1I.

1.6

Such a mappingWnis called theW-mapping generated byTn, Tn1, . . . , T1andtn, tn−1, . . . , t1. In8, givenx0∈Harbitrarily, the sequences{xn}and{un}are generated by

Θun, x r1

nxun, unxn ≥0,xC,

xn1 αnfxn βnxnγnWnun.

1.7

They proved that under some parameter controlling conditions, {xn} generated by 1.7

converges strongly toz∈ ∩∞n1FTn∩EPΘ, wherezP

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Subsequently, Ceng and Yao 13 introduced an iterative scheme by the viscosity approximation method:

Θun, x r1

nxun, unxn ≥0,xC,

yn1−γnxnγnWnun,

xn1

1−αnβnxnαnfynβnWnyn,

1.8

where{αn},{βn}and{γn}are sequence in0,1such thatαnβn≤1. Under some parameter controlling conditions, they proved that the sequence {xn} defined by 1.8 converges

strongly toz∈ ∩∞n1FTn∩EPΘ, wherezP∩∞

n1FTn∩EPΘfz.

Recently, Zhao and He14introduced the following iterative process. Suppose thatx1uC,

Θun, yr1

n

yun, unxn≥0,yC,

yn snPCunλnAun 1−snxn,

xn1αnuβnxnγnWnPCynλnAyn,

1.9

where{sn},{αn},{βn}, and{γn} ∈ 0,1such thatαnβnγn 1. Under some parameter

controlling conditions, they proved that the sequence {xn} defined by 1.9 converges

strongly toz∈ ∩∞i1FTi∩VIA, C∩EPΘ, wherezP

i1FTi∩VIA,C∩EPΘu.

Motivated by the ongoing research in this field, in this paper we suggest and analyze an iterative scheme for finding a common element of the set of fixed point of infinitely nonexpansive mappings, the set of solutions of an equilibrium problem and the set of solutions of the variational of inequality problem for an α-inverse strongly monotone mapping in a real Hilbert space. Under some appropriate conditions imposed on the parameters, we prove another strong convergence theorem and show that the approximate solution converges to a unique solution of some variational inequality which is the optimality condition for the minimization problem. The results of this paper extend and improve the results of Zhao and He14and many others. For some related works, we refer the readers to15–22and the references therein.

2. Preliminaries

LetHbe a real Hilbert space and letCbe a closed convex subset ofH. Then, for anyxH, there exists a unique nearest point inC, denoted byPCxsuch that

xPCxxy,yC. 2.1

PC is called the metric projection of H onto C. It is well known that PC is nonexpansive

mapping and satisfies

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Moreover,PCis characterized by the following properties:PcxCand

xPCx, yPCx ≤0,

xy2

xPCx2yPCx2,xH, yC.

2.3

It is clear thatu∈VIA, CuPCuλAu, λ >0.

A spaceX is said to satisfy Opials condition if for each sequence {xn} inX which

converges weakly to a pointxX, we have

lim inf

n→ ∞ xnx<lim infn→ ∞ xny,yX, y /x. 2.4

The following lemmas will be useful for proving the convergence result of this paper.

Lemma 2.1see23. Let{xn}and{yn}be bounded sequences in a Banach spaceXand let{βn}be a sequence in0,1with0<lim infn→ ∞βnlim supn→ ∞βn<1.Suppose thatxn1 1−βnyn

βnxnfor all integern≥1andlim supn→ ∞yn1−ynxn1−xn0.Thenlimn→ ∞ynxn

0.

Lemma 2.2see24. LetHbe a real Hilbert space, letCbe a closed convex subset ofH, and let

T :CCbe a nonexpansive mapping withFT/.If{xn}is a sequence inCweakly converging toxand ifITxnconverge strongly toy, thenITxy.

Lemma 2.3see25. Assume that{an}is a sequence of nonnegative real numbers such that

an1≤1−αnanδn, n≥0, 2.5

where{αn}is a sequence in0,1and{δn}is a sequence inRsuch that

1limn→ ∞αn0andn1αn.

2lim supn→ ∞δn/αn≤0orn1|δn|<.

Thenlimn→ ∞an0.

In this paper, for solving the mixed equilibrium problem, let us give the following assumptions for a bifunctionΘ, ϕand the setC:

A1 Θx, x 0 for allxC;

A2 Θis monotone, that is,Θx, y Θy, x≤0 for anyx, yC;

A3 Θis upper-hemicontinuous, that is, for eachx, y, zC,

lim

t→0supΘ

tz 1−tx, y≤Θx, y; 2.6

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B1for eachxHandr >0, there exists a bounded subsetDxCandyxCsuch

that for anyzC\Dx,

Θz, yϕyxr1

n

yxz, zx< ϕz, 2.7

B2Cis a bounded set.

By a similar argument as in the proof of Lemma2.3in26, we have the following result.

Lemma 2.4. LetCbe a nonempty closed convex subset of a real Hilbert spaceH. LetΘbe a bifunction fromC×C → Rthat satisfies (A1)–(A4) and letϕ:C → R∪{∞}be a proper lower semicontinuous and convex function. Assume that either (B1) or (B2) holds. Forr >0andxH, define a mapping

Tr :HCas follows:

Trx

zCz, yϕy1

r

yz, zxϕz,yC 2.8

for allxH.Then, the following conditions hold:

1for eachxH, Trx/; 2Tr is single-valued;

3Tr is firmly nonexpansive, that is, for anyx, yH,TrxTry2 ≤ TrxTry, xy;

4FTr MEPΘ, ϕ;

5MEPΘ, ϕis closed and convex.

Let {Tn}∞n1 be a sequence of nonexpansive mappings of Cinto itself, where C is a nonempty closed convex subset of a real Hilbert spaceH. Given a sequence{tn}n∞1in0,1, we define a sequence{Wn}∞n1 of self-mappings onCby1.6. Then We have the following result.

Lemma 2.5see27. LetC be a nonempty closed convex subset of a real Hilbert spaceH. Let

{Tn}∞n1be a sequence of nonexpansive self-mappings onCsuch that∩∞n1FTn/and let{tn}be a

sequence in0, bfor someb∈0,1. Then, for everyxCandk≥1,limn→ ∞Un,kxexists.

Remark 2.6see8. It can be shown from Lemma2.5that ifDis a nonempty bounded subset ofC, then for > 0, there existsn0 ≥ ksuch that for alln > n0, supxDUn,kxUkx,

whereUkxlimn→ ∞Un,kx.

Remark 2.7see8. Using Lemma2.5, we define a mappingW :CCas follows:Wx limn→ ∞Wnxlimn→ ∞Un,1x, for allxC.Wis called theW-mapping generated byT1, T2, . . . andt1, t2, . . . .

SinceWnis nonexpansive,W:CCis also nonexpansive.

Indeed, for allx, yC,WxWylimn→ ∞WnxWnyxy.

If{xn}is a bounded sequence inC, then we putD {xn :n ≥ 0}. Hence it is clear

from Remark 2.6that for any arbitrary > 0, there exists n0 ≥ 1 such that for all n > n0,

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This implies that limn→ ∞WnxnWxn0.

Lemma 2.8see27. LetC be a nonempty closed convex subset of a real Hilbert spaceH. Let

{Tn}∞n1be a sequence of nonexpansive self-mappings onCsuch that∩∞n1FTn/and let{tn}be a

sequence in0, bfor someb∈0,1. ThenFW ∩∞n1FTn.

3. Main Results

Theorem 3.1. LetCbe a nonempty closed convex subset of a real Hilbert spaceH. Letϕ : C

R∪ {∞}be a lower semicontinuous and convex function. LetΘbe a bifunction fromC×C → R satisfying (A1)–(A4), letAbe anα-inverse-strongly monotone mapping ofCintoH, and let{Tn}∞n1 be a sequence of nonexpansive self-mapping onCsuch that∩∞n1FTn∩VIA, C∩MEPΘ, ϕ/. Suppose that{sn},{αn},{βn}, and{γn}are sequences in0,1,{λn}is a sequence in0,2αsuch that

λna, bfor somea, bwith0< a < b <2α, and{rn} ⊂0,is a real sequence. Suppose that the following conditions are satisfied:

iαnβnγn1,

iilimn→ ∞αn0andn1αn,

iii0<lim infn→ ∞βn≤lim supn→ ∞βn<1,

iv0<lim infn→ ∞sn≤lim supn→ ∞sn<1/2andlimn→ ∞|sn1−sn|0,

vlimn→ ∞|λn1−λn|0,

vilim infn→ ∞rn>0andlimn→ ∞|rn1−rn|0.

Letfbe a contraction ofCinto itself with coefficientβ∈0,1. Assume that either (B1) or (B2) holds.

Let the sequences{xn},{un}, and{yn}be generated by,x1∈Cand

Θun, yϕyϕun r1

n

yun, unxn≥0,yC,

yn snPCunλnAun 1−snxn,

xn1αnfxn βnxnγnWnPCynλnAyn,

3.1

for alln∈N, whereWnis defined by1.6and{tn}is a sequence in0, b, for someb∈0,1. Then the sequence{xn}converges strongly to a point x∗ ∈ ∩∞n1FTn∩VIA, C∩MEPΘ, ϕ, where

xP ∩∞

n1FTn∩VIA,C∩MEPΘ,ϕfx

.

Proof. For anyx, yCandλna, b⊂0,2α, we note that

IλnAxIλnAy2xyλ

nAxAy2

xy2

2λnxy, AxAyλ2nAxAy2

xy2λnλ

n−2αAxAy2

xy2,

3.2

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Let{Trn}be a sequence of mappping defined as in Lemma2.4and letx∗∈ ∩∞n1FTn∩ VIA, C∩MEPΘ, ϕ. ThenxWnx∗andxPCx∗−λnAxTrnx∗. Putvn PCyn

λnAyn. From3.2we have

vnxPCynλnAynPCx∗−λnAx

ynλnAynx∗−λnAx

ynx

snPCunλnAun 1−snxnsnPCx∗−λnAx∗−1−snx

snPCunλnAunPCx∗−λnAx∗ 1−snxnx

snunx∗ 1−snxnx

snTrnxnTrnx∗ 1−snxnx

snxnx∗ 1−snxnx

xnx.

3.3

Hence, we obtain that

xn1−xαnfxnβnxnγnWnvnx

αnfxnxβnxnxγnWnvnx

αnfxnfxαnfx∗−xβnxnxγnvnx

αnβxnxαnfx∗−xβnxnxγnxnx

1−βαnfx

x

1−β

1−1−βαnxnx

≤max

xnx,fx

x

1−β

≤max

x0−x,fx

x

1−β .

3.4

Therefore {xn} is bounded. Consequently, {fxn},{un},{yn},{vn},{Wnvn},{Aun}, and

{Ayn}are also bounded.

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Indeed, settingxn1βnxn 1−βnzn,for alln≥1,it follows that

zn1−zn αn1fxn11 βγn1Wn1vn1

n1 −

αnfxn γnWnvn

1−βn

αn1fxn1 γn1Wn1vn1

1−βn1 −

γn1Wn1vn

1−βn1

γn1Wn1vn

1−βn1 −

αnfxn γnWnvn

1−βn

αn1fxn1

1−βn1 −

αnfxn

1−βn

γn1

1−βn1Wn1vn1−Wn1vn

1−βn1−αn1

1−βn1 Wn1vn

1−βnαn

1−βn Wnvn

αn1fxn1

1−βn1 −

αnfxn

1−βn

γn1

1−βn1Wn1vn1−Wn1vn

wn1vnwnvn 1αnβ

nWnvn

αn1

1−βn1Wn1vn.

3.5

Now, we estimateWn1vnWnvnandWn1vn1−Wn1vn.

From the definition of{Wn},1.6, and sinceTi,Un,iare nonexpansive, we deduce that,

for eachn≥1,

Wn1vnWnvnt1T1Un1,2vnt1T1Un,2vn

t1Un1,2vnUn,2vn

t1t2T2Un1,3vnt2T2Un,3vn

t1t2Un1,3vnUn,3vn

.. .

n

i1

ti

Un1,n1vnUn,n1vn

Mn

i1

ti,

3.6

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we note that

Wn1vn1−Wn1vnvn1−vn

PCyn1−λn1Ayn1

PCynλnAyn

yn1−λn1Ayn1

ynλnAyn

Iλn1Ayn1−Iλn1Ayn|λnλn1|Ayn

yn1−yn|λnλn1|Ayn,

3.7

yn1−ynsn1PCun1−λn1Aun1 1−sn1xn1

snPCunλnAun−1−snxn

sn1PCun1−λn1Aun1−sn1PCunλnAun

sn1−snPCunλnAun 1−sn1xn1

−1−sn1sn1−snxn

sn1un1−λn1Aun1−unλnAun

|sn1−sn|unλnAun 1−sn1xn1−xn|sn1−sn|xn

sn1{un1−λn1Aun1−unλnAun

|λnλn1|Aun}|sn1−sn|unλnAunxn

1−sn1xn1−xn

sn1un1−unsn1|λnλn1|Aun

|sn1−sn|Q 1−sn1xn1−xn,

3.8

whereQsup{un, λnAun,xn:n≥1}.

Combining3.7and3.8, we obtain

vn1−vnsn1un1−unsn1|λnλn1|Aun|sn1−sn|Q

1−sn1xn1−xn|λnλn1|Ayn.

3.9

On the other hand, fromunTrnxnandun1Trn1xn1, we note that

Θun, yϕyϕun r1

n

yun, unxn≥0,yC, 3.10

Θun1, y

ϕyϕun1 r1

n1

yun1, un1−xn1

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Puttingyun1in3.10andyunin3.11, we have

Θun, un1 ϕun1−ϕun r1

nun1−un, unxn ≥0,

Θun1, un ϕunϕun1

1

rn1unun1, un1−xn1 ≥ 0.

3.12

So, fromA2we getun1−un,unxn/rnun1−xn1/rn1 ≥0. Henceun1−un, unun1un1−xnrn/rn1un1−xn1 ≥0.

Without loss of generality, we may assume that there exists a real numbercsuch that

rn> c >0, for alln≥1. Then we get

un1−un2≤

un1−un, xn1−xn

1− rn

rn1

un1−xn1

un1−un

xn1−xn1−rrn n1

un1−xn1 ,

3.13

and hence

un1−unxn1−xnr1

n1|rn1−rn|un1−xn1

xn1−xn 1

c|rn1−rn|L,

3.14

whereLsup{unxn:n≥1}. Hence from3.9and3.14, we have

Wn1vn1−Wn1vnxn1−xnsn1

L

c|rn1−rn||λnλn1|Aun

|sn1−sn|Q|λnλn1|Ayn.

3.15

Combining3.5,3.6, and3.15, we get

zn1−znxn1−xn1αnβ1 n1

fxn1Wn1vn1αnβ n

fxnWnvn

γn1

1−βn1

xn1−xnsn1

L

c|rn1−rn||λnλn1|Aun

|sn1−sn|Q|λnλn1|Ayn

Mn

i1

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αn1 1−βn1

fxn1Wn1vn

αn

1−βn

fxnWnvn

γn1

1−βn1

sn1

L

c|rn1−rn||λnλn1|Aun

|sn1−sn|Q|λnλn1|Ayn M

n

i1

ti.

3.16

It follows from3.16and conditionsi–viand 0< tib <1,for alli≥1 that

lim sup

n→ ∞ zn1−znxn1−xn≤0. 3.17

By Lemma2.1, we have limn→ ∞znxn0.Consequently,

lim

n→ ∞xn1−xnnlim→ ∞

1−βnznxn0. 3.18

From conditionsiv–vi,3.7,3.8,3.14, and3.18, we also get

lim

n→ ∞un1−un0, nlim→ ∞yn1−yn0, nlim→ ∞vn1−vn0. 3.19

Sinceαnβnγn1 and from the definition of{xn}, we havexn1−xnαnfxn

xn γnWnvnxn. Then we have

Wnvnxnγ1 n

xn1−xnαnfxnxn−→0, asn−→ ∞. 3.20

Forx∗∈ ∩∞n1FTn∩VIA, C∩MEPΘ, ϕ, we have

unx∗2 TrnxnTrnx∗2

TrnxnTrnx, xnx

unx, xnx

1

2

unx∗2xnx∗2− xnun2

,

3.21

and henceunx∗2x

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From3.3, we have

xn1−x∗2αnfxnβnxnγnWnvnx∗2

αnfxnx∗2βnxnx∗2γnWnvnx∗2

αnfxnx∗2βnxnx∗2γnvnx∗2

αnfxnx∗2βnxnx∗2

γn

snxnx∗2−snxnun2 1−snxnx∗2

αnfxnx∗2βnγnxnx∗2−γnsnxnun2

αnfxnx∗2xnx∗2−γnsnxnun2.

3.22

That is,

xnun2≤ γ1 nsn

αnfxnx∗2xnx∗2− xn1−x∗2

≤ 1

γnsn

αnfxnx∗2xn1−xnxnxxn1−x

.

3.23

Fromiiand3.18, we obtain

xnun −→0, asn−→ ∞. 3.24

From3.2-3.3, we get

xn1−x∗2≤αnfxnx∗2βnxnx∗2γnWnvnx∗2

αnfxnx∗2βnxnx∗2γnvnx∗2

αnfxnx∗2βnxnx∗2

γnynλnAynx∗−λnAx∗2

αnfxnx∗2βnxnx∗2

γnynx∗2λnλn−2αAynAx∗2

αnfxnx∗2βnxnx∗2γnxnx∗2

γnλnλn−2αAynAx∗2

αnfxnx∗2xnx∗2γnab−2αAynAx∗2.

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Then we get,

γnab−2αAynAx∗2≤αnfxnx∗2xnx∗2− xn1−x∗2

αnfxnx∗2 xnxxn1−xxnxn1.

3.26

Sinceαn → 0 andxnxn1 → 0, we obtain

AynAx∗ −→0, asn−→ ∞. 3.27

We note that

vnx∗2PCynλnAynPCx∗−λnAx∗2

ynλnAynx∗−λnAx, vnx

1

2

ynλnAynx∗−λnAx∗2vnx∗2

ynλnAynx∗−λnAx∗−vnx∗2

≤ 1

2

ynx∗2vnx∗2−ynvnλnAynAx∗2

1

2

ynx∗2vnx∗2−ynvn2

2λnynvn, AynAx∗−λ2nAynAx∗2.

3.28

Then we derive

vnx∗2≤ynx∗2−ynvn22λnynvn, AynAx∗−λ2nAynAx∗2

xnx∗2−ynvn22λnynvn, AynAx.

3.29

Hence

xn1−x∗2≤αnfxnx∗2βnxnx∗2γnWnvnx∗2

αnfxnx∗2βnxnx∗2γnvnx∗2

αnfxnx∗2βnxnx∗2

γn

xnx∗2−ynvn22λnynvn, AynAx

αnfxnx∗2xnx∗2−γnynvn2

2γnλnynvnAynAx,

(15)

which imply that

γnynvn2≤αnfxnx∗2xnx∗2− xn1−x∗2

2γnλnynvnAynAx

αnfxnx∗22γnλnynvnAynAx

xnxxn1−xxnxn1.

3.31

From conditionii,3.18, and3.27, we get

lim

n→ ∞ynvn0. 3.32

Since

unynunxnxnyn

unxnsnPCunλnAunsnxn

unxnsnunynsnvnWnvnsnWnvnxn,

3.33

we have

unyn11s

nunxn

sn

1−snvnWnvn

sn

1−snWnvnxn, 3.34

and then we obtain

WnvnvnWnvnxnxnununynynvn

Wnvnxnxnun11s

nunxn

1

1−snvnWnvn

sn

1−snWnvnxnynvn.

3.35

So we get

1−2sn

1−sn Wnvnvn ≤ 1

1−snWnvnxn 2−sn

1−snunxnynvn. 3.36

From conditionivand3.20,3.24, and3.32, we have limn→ ∞Wnvnvn0.Moreover,

from Remark2.7we get limn→ ∞Wvnvn0.

Next, we show that

lim sup

n→ ∞ fx

x, x

(16)

where xP∩∞

n1FTn∩VIA,C∩MEPΘ,ϕfx

. Indeed, we choose a subsequence {v

ni} of {vn}

such that

lim sup

n→ ∞

fxx, Wv

nxilim→ ∞fx∗−x, Wvnix

. 3.38

Since{vni}is bounded, there exists a subsequence{vnij}of{vni}which converges weakly to z. Without loss of generality, we can assume thatvni z.

FromWvnvn → 0, we obtainWvni z.

Next, we show thatz∈ ∩∞n1FTn∩VIA, C∩MEPΘ, ϕ.

First, we show thatz∈MEPΘ, ϕ. In fact byunTrnxn∈domϕ, we have

Θun, yϕyϕun r1

n

yun, unxn≥0,yC. 3.39

FromA2, we also have

ϕyϕun r1

nyun, unxn ≥Θ

y, un,yC, 3.40

and hence

ϕyϕun

yuni,

unixni rni

≥Θy, uni

,yC. 3.41

Fromunxn → 0,xnWvn → 0 andWvnvn → 0, we getuniz. It follows from

A4thatunixni/rni → 0 and from the lower semicontinuity ofϕthat

Θy, zϕzϕy≤0,yC. 3.42

Fortwith 0< t≤1 andyC, letytty 1−tz.SinceyCandzC, we haveytC

and henceΘyt, z ϕzϕyt≤0. So, fromA1andA4, we have

0 Θyt, ytϕytϕyt

tΘyt, y 1−tΘyt, ztϕy 1−tϕzϕyt

tΘyt, yϕyϕyt.

3.43

Dividing byt, we have

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Lettingt → 0, it follows from the weakly semicontinuity ofϕthat

Θz, yϕyϕz≥0,yC. 3.45

Hencez∈MEPΘ, ϕ.

Second, we show thatzFW ∩∞n1FTn. Assumez /FW. Sinceuni zand z /Wz, by Opial’s condition, we have

lim inf

i→ ∞ uniz<lim infi→ ∞ uniWz

≤lim inf

i→ ∞ uniWuniWuniWz

≤lim inf

i→ ∞ uniz,

3.46

which derives a contradiction. Thus we havezFT.

Finally, by the same argument in the proof of 28, Theorem 3.1, we can show that

z∈VIA, C.

Hencez∈ ∩∞n1FTn∩VIA, C∩MEPΘ, ϕ. SincexP∩∞

n1FTn∩VIA,C∩MEPΘ,ϕfx

andxnWvn 0, we have

lim sup

n→ ∞

fxx, x

nx∗lim sup

n→ ∞ fx

x, Wv

nx

lim

i→ ∞fx

x, Wv

nix

fxx, zx0.

3.47

Therefore,3.37holds.

Finally, we show thatxnx∗. From definition of{xn}, we get

xn1−x∗2αnfxn βnxnγnWnvnx∗2

αnfxn βnxnγnWnvnx, xn1−x

αnfxnx, xn1−xβnxnx, xn1−x

γnWnvnx, xn1−x

αnfxnx, xn1−x

1

2βn

xnx∗2xn1−x∗2

1

2γn

vnx∗2xn1−x∗2

αnfxnx, xn1−x

1

2βn

xnx∗2xn1−x∗2

1

2γn

xnx∗2xn1−x∗2

(18)

αnfxnx, xn1−x∗ 1

21−αn

xnx∗2xn1−x∗2

αnfxnx, xn1−x

1

21−αnxnx

21

2xn1−x

2,

3.48

which implies that

xn1−x∗2≤1−αnxnx∗22αnfxnx, xn1−x

. 3.49

By3.47and Lemma2.3, we get that{xn}converges strongly tox∗.

This completes the proof.

Settingfxnuandϕ0 in Theorem3.1., we have the following result.

Corollary 3.2see14, Theorem 2.1. LetCbe a nonempty closed convex subset of a real Hilbert spaceH. LetΘbe a bifunction fromC×C → Rsatisfying (A1)–(A4), letAbe anα-inverse-strongly monotone mapping ofCintoH, and let{Tn}∞n1 be a sequence of nonexpansive self-mapping onC such that ∩∞n1FTn∩VIA, C∩EPΘ/. Suppose thatx1 uC, {sn},{αn}, {βn}, and

{γn}are sequences in 0,1,{λn}is a sequence in 0,2αsuch thatλna, bfor somea, bwith

0 < a < b < 2αand {rn} ⊂ 0,is a real sequence. Suppose that the following conditions are satisfied:

iαnβnγn1,

iilimn→ ∞αn0andn1αn,

iii0<lim infn→ ∞βn≤lim supn→ ∞βn<1,

iv0<lim infn→ ∞sn≤lim supn→ ∞sn<1/2andlimn→ ∞|sn1−sn|0,

vlimn→ ∞|λn1−λn|0,

vilim infn→ ∞rn>0andlimn→ ∞|rn1−rn|0.

Let the sequence{xn}be generated by,

Θun, yr1

n

yun, unxn≥0,yC,

yn snPCunλnAun 1−snxn,

xn1αnuβnxnγnWn

PCynλnAyn,

3.50

for alln ∈ N, whereWn is defined by1.6and {tn} is a sequence in0, b, for someb ∈ 0,1.

Then the sequence{xn}converges strongly to a pointx∗ ∈ ∩∞n1FTn∩VIA, C∩EPΘ, where

xP

n1FTn∩VIA,C∩EPΘu.

(19)

Corollary 3.3. Let C be a nonempty closed convex subset of a real Hilbert spaceH. Let Θbe a bifunction fromC×C → Rsatisfying (A1)–(A4), letAbe anα-inverse-strongly monotone mapping ofCintoH, and let{Tn}∞n1be a sequence of nonexpansive self-mapping onCsuch that∩∞n1FTn∩ VIA, C∩EPΘ/. Suppose that{sn}, {αn},{βn}, and{γn} are sequences in 0,1,{λn} is a sequence in0,2αsuch thatλna, bfor somea, bwith0 < a < b <2α, and{rn} ⊂0,is a real sequence. Suppose that the following conditions are satisfied:

iαnβnγn1,

iilimn→ ∞αn0andn1αn,

iii0<lim infn→ ∞βn≤lim supn→ ∞βn<1,

iv0<lim infn→ ∞sn≤lim supn→ ∞sn<1/2andlimn→ ∞|sn1−sn|0,

vlimn→ ∞|λn1−λn|0,

vilim infn→ ∞rn>0andlimn→ ∞|rn1−rn|0.

Letfbe a contraction ofCinto itself with coefficientβ∈0,1and let the sequence{xn}be generated byx1∈Cand

Θun, yr1

n

yun, unxn≥0,yC,

yn snPCunλnAun 1−snxn,

xn1αnfxn βnxnγnWn

PCynλnAyn,

3.51

for alln ∈ N, whereWn is defined by1.6and {tn} is a sequence in0, b, for someb ∈ 0,1.

Then the sequence{xn}converges strongly to a pointx∗ ∈ ∩∞n1FTn∩VIA, C∩EPΘ, where

xP ∩∞

n1FTn∩VIA,C∩EPΘfx

.

By Theorem3.1, we obtain some interesting strong convergence theorems.

SettingTnx xthen we haveWnx xin Theorem3.1, and we have the following

result.

Corollary 3.4. LetCbe a nonempty closed convex subset of a real Hilbert spaceH. Letϕ : C

R∪ {∞}be a lower semicontinuous and convex function. LetΘbe a bifunction fromC×C → R satisfying (A1)–(A4), and letAbe anα-inverse-strongly monotone mapping ofCintoHsuch that

VIA, C∩MEPΘ, ϕ/. Suppose that{sn},{αn},{βn}, and{γn}are sequences in0,1,{λn}is a sequence in0,2αsuch thatλna, bfor somea, bwith0< a < b <2αand{rn} ⊂0,is a real sequence. Suppose that the following conditions are satisfied:

iαnβnγn1,

iilimn→ ∞αn0andn1αn,

iii0<lim infn→ ∞βn≤lim supn→ ∞βn<1,

iv0<lim infn→ ∞sn≤lim supn→ ∞sn<1/2andlimn→ ∞|sn1−sn|0,

vlimn→ ∞|λn1−λn|0,

(20)

Letfbe a contraction ofCinto itself with coefficientβ∈0,1. Assume that either (B1) or (B2) holds.

Then the sequences{xn},{un}, and{yn}generated by,x1∈Cand

Θun, yϕyϕun r1

n

yun, unxn≥0,yC,

yn snPCunλnAun 1−snxn,

xn1αnfxn βnxnγnPCynλnAyn

3.52

converge strongly to a pointx∗∈VIA, C∩MEPΘ, ϕ, wherexPVIA,C∩MEPΘ,ϕfx∗.

SettingΘ 0, ϕ0 andrn 1 then we haveun PCxn xnin Theorem3.1, and we have the following result.

Corollary 3.5. Let Cbe a nonempty closed convex subset of a real Hilbert space H. Let A be an

α-inverse-strongly monotone mapping ofC intoH and let{Tn}∞n1 be a sequence of nonexpansive self-mapping onCsuch that∩∞n1FTn∩VIA, C/. Suppose that{sn},{αn},{βn}, and{γn}are sequences in0,1,{λn}is a sequence in0,2αsuch thatλna, bfor somea, bwith0< a < b <

2α. Suppose that the following conditions are satisfied:

iαnβnγn1,

iilimn→ ∞αn0andn1αn,

iii0<lim infn→ ∞βn≤lim supn→ ∞βn<1,

iv0<lim infn→ ∞sn≤lim supn→ ∞sn<1/2andlimn→ ∞|sn1−sn|0,

vlimn→ ∞|λn1−λn|0.

Letf be a contraction ofCinto itself with coefficientβ∈0,1. Let the sequences{xn}and{yn}be generated byx1∈Cand

ynsnPCxnλnAxn 1−snxn,

xn1αnfxn βnxnγnWnPCynλnAyn,

3.53

for all n ∈ N, where Wn defined by 1.6 and {tn} is a sequence in 0, b, for some b ∈ 0,1.

Then the sequences{xn}and{yn}converge strongly to a pointx∗ ∈ ∩∞n1FTn∩VIA, C, where

xP ∩∞

n1FTn∩VIA,Cfx

.

Acknowledgment

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