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Volume 2010, Article ID 491357,13pages doi:10.1155/2010/491357

Research Article

Strong Convergence Theorems for

Equilibrium Problems and Fixed Point Problems in

Hilbert Spaces

Jian-Wen Peng

1

and Yan Wang

2

1College of Mathematics and Computer Science, Chongqing Normal University, Chongqing 400047, China

2Division of Mathematics, Yibin No. 3 Middle School, Yibin, Sichuan 644000, China

Correspondence should be addressed to Jian-Wen Peng,[email protected]

Received 21 August 2009; Revised 1 December 2009; Accepted 13 January 2010

Academic Editor: Petru Jebelean

Copyrightq2010 J.-W. Peng and Y. Wang. 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 an Ishikawa iterative scheme by the viscosity approximate method for finding a common element of the set of solutions of an equilibrium problem and the set of fixed points of a nonexpansive mapping in Hilbert space. Then, we prove some strong convergence theorems which extend and generalize S. Takahashi and W. Takahashi’s results2007.

1. Introduction

LetHbe a real Hilbert space and letCbe a nonempty closed convex subset ofH. LetFbe a bifunction fromC×CtoR, whereRis the set of real numbers. The equilibrium problem for

F:C×CRis to findxCsuch that

Fx, y≥0, ∀y∈C. 1.1

The set of solutions of1.1is denoted by EPF. Given a mappingT : CH, let

Fx, y Tx, y−xfor allx, yC. Then,z ∈ EPFif and only ifTz, y−z ≥ 0 for all

yC. Numerous problems in physics, optimization, and economics reduce to find a solution of1.1; for more details, see1,2.

Recall that a self-mappingSof a closed convex subsetCofH is nonexpansive3if there holds that

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We denote the set of fixed points ofSbyFS. There are some methods for approximation of fixed points of a nonexpansive mapping. In 2000, Moudafi 4introduced the viscosity approximation method for nonexpansive mappingssee5for further developments in both Hilbert and Banach spaces. Some methods have been proposed to solve the equilibrium problem; see, for instance,1,2,6,7. Recently, Combettes and Hirstoaga6introduced an iterative scheme of finding the best approximation to the initial data when EPFis nonempty and proved a strong convergence theorem. S. Takahashi and W. Takahashi7introduced a Mann iterative scheme by the viscosity approximation method for finding a common element of the set of solution1.1and the set of fixed points of a nonexpansive mapping in a Hilbert space and proved a strong convergence theorem.

On the other hand, Ishikawa8 introduced the following iterative process defined recursively by

xn1αnxn 1−αnSyn,

ynβnxn1−βnSxn, ∀n∈N,

1.3

where the initial guessx0is taking inCarbitrarily,{αn}and{βn}are sequences in the interval 0,1.

In this paper, motivated by the ideas in 4–8, we introduce an Ishikawa iterative scheme by the viscosity approximation method for finding a common element of the set of solution1.1and the set of fixed points of a nonexpansive mapping in a Hilbert space.

Starting with an arbitraryx1∈H, define sequences{xn},{yn},and{un}by

Fun, yr1 n

yun, unxn≥0, ∀y∈C,

xn1αnfxn 1−αnSyn,

ynβnxn1−βnSun, ∀n∈N,

1.4

where{αn},{βn} ⊂0,1and{rn} ⊂0,∞.

We will prove in Section 3that if the sequences {αn},{βn}, and{rn} of parameters satisfy appropriate conditions, then the sequences{xn},{yn},and {un}generated by1.4

converge strongly to zFS∩EPF. The results in this paper extend and generalize S. Takahashi and W. Takahashi’s results7.

2. Preliminaries

LetHbe a real Hilbert space with inner product·,·, and norm · and letCbe a nonempty closed convex subset ofH.xnximplies that{xn}converges strongly toxandxn x means that{xn}converges weakly tox. In a real Hilbert spaceH, we have

λx 1−λy2λx2 1−λy2−λ1−λxy2 2.1

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For anyxH, there exists a unique nearest point inC, denoted byPCx, such that

x−PCx ≤ x−yfor allyC. Such aPCis called the metric projection ofHontoC. It is

also known thatyPCxis equivalent tox−y, yz ≥0 for allzC.

For solving the equilibrium problem, let us assume that the bifunctionF satisfies the following conditions:

A1Fx, x 0 for allxC;

A2Fis monotone, that is,Fx, y Fy, x≤0 for anyx, yC;

A3for eachx, y, zC,

lim

t↓0F

tz 1−tx, yFx, y; 2.2

A4for eachxC, yFx, yis convex and lower semicontinuous.

We recall some lemmas needed later.

Lemma 2.1see2. LetCbe a nonempty closed convex subset ofHand letFbe a bifunction from

C×CtoRsatisfying (A1)–(A4). Letr >0 andxH. Then, there existszCsuch that

Fz, y1ryz, zx≥0, ∀y∈C. 2.3

Lemma 2.2see5. LetCbe a nonempty closed convex subset ofH, and letFbe a bifunction from

C×CtoRsatisfying (A1)–(A4). Forr >0 andxH,define a mappingTr :HCas follows:

Trx

zC:Fz, y1

r

yz, zx≥0, ∀y∈C

2.4

for allxH. Then, the following statements hold:

1Tr is single-valued;

2Tr is firmly nonexpansive, that is, for anyx, yH,

TrxTry2T

rxTry, xy; 2.5

3FTr EPF;

4EPFis closed and convex.

Lemma 2.3see10. Let{an}be a sequence of nonnegative real numbers such that

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where{bn}is a sequence of real numbers and{cn}is a sequence in0,1such that

i ∞n1cn ∞,

iilim supn→ ∞bn/cn0 orn1|bn|<.

Then, limn→ ∞an0.

3. Strong Convergence Theorem

In this section, we show a strong convergence theorem which solves the problem of finding a common element of the set of solutions of an equilibrium problem and the set of fixed points of a nonexpansive mapping in a Hilbert space.

Theorem 3.1. LetCbe a nonempty closed convex subset ofH. LetFbe a bifunction fromC×CtoR satisfying (A1)–(A4) and letSbe a nonexpansive mapping ofCintoHsuch thatFS∩EPF/∅.

Letfbe a contraction ofHinto itself and let{xn},{un},and{yn}be sequences generated byx1∈H and1.4. Ifn},{βn} ⊂0,1and{rn} ⊂0,satisfy the following conditions:

lim

n→ ∞αn0,

n1

αn∞,

n1

n1−αn|<∞,

0<lim inf

n→ ∞ βn≤lim supn→ ∞ βn<1,

n1

βn1βn<∞,

lim inf

n→ ∞ rn>0,

n1

|rn1−rn|<∞,

3.1

then,{xn},{yn},and{un}converge strongly tozFS∩EPF,wherezPFSEPFfz.

Proof. LetQ PFS∩EPF.ThenQf is a contraction ofHinto itself. In fact, there existsa

0,1such thatfxfyaxyfor allx, yH. So, we have that

QfxQf

yfxfyaxy 3.2

for allx, yH.SinceHis complete, there exists a unique elementzHsuch thatzQfz. Such azHis an element ofC.

LetvFS∩EPF. Then fromunTrnxn,we have

unvTrnxnTrnv ≤ xnv 3.3

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Supposexnv ≤M.Then, we have

xn1−v ≤αnfxnv 1−αnSynv

αnfxnfvαnfvv 1−αnSynv

aαnxnvαnfvv 1−αnynv.

3.4

On the other hand

ynvβnxnv

1−βnSunv

βnxnv1−βnunv

βnxnv1−βnxnv

xnv.

3.5

Putting3.5into3.4, we have

xn1−v ≤aαnxnvαnfvv 1−αnxnv

1−αn1−axnvαn1−a

fvv

1−a

≤1−αn1−aMαn1−aMM.

3.6

So, we have thatxn1−v ≤Mfor anynN. And hence{xn}is bounded. We also obtain

that{un},{yn},{Sun},{Syn},and{fxn}are bounded. Next, we show that limn→ ∞xn1−

xn0.In fact,

ynyn1βnxn

1−βnSunβn−1xn−1

1−βn−1

Sun−1

βnxnxn−1

βnβn−1

xn−1

1−βnSunSun−1

βn−1−βn

Sun−1

βnβn−1xn−1βnxnxn−1

1−βnunun−1βnβn−1Sun−1,

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and hence

xn1−xnαnfxn 1−αnSynαn−1fxn−1−1−αn−1Syn−1

αnfxnαnfxn−1 αnfxn−1−αn−1fxn−1

1−αnSyn−1−αnSyn−1 1−αnSyn−1−1−αn−1Syn−1

αnaxnxn−1|αnαn−1|fxn−1 1−αnynyn−1

nαn−1|Syn−1

αnaxnxn−1|αnαn−1|fxn−1 1−αn

×βnβn−1xn−1βnxnxn−1

1−βnunun1βnβn−1Sun−1

nαn−1|Syn−1

βnαnβnaxnxn−1|αnαn−1|fxn−1Syn−1

1−αnβnβn1xn−1Sun−1 1−αn1−βnunun−1

βnαnβnaxnxn−1|αnαn−1|K1 1−αnβnβn−1K2

1−αn1−βnunun−1,

3.8

whereK1sup{fxnSyn:nN}andK2sup{xnSun:nN}.

On the other hand, fromunTrnxnandun1 Trn1xn1, we have

Fun, yr1 n

yun, unxn≥0, ∀y∈C, 3.9

Fun1, y

1

rn1

yun1, un1−xn1

≥0, ∀y∈C. 3.10

Puttingyun1in3.9andyunin3.10, we have

Fun, un1

1

rnun1−un, unxn ≥0,

Fun1, un

1

rn1unun1, un1−xn1 ≥

0.

3.11

So, from the monotonicity ofF, we get

un1−un,unrxn

n

un1−xn1

rn1

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and hence

un1−un, unun1un1−xnrrn

n1un1−xn1

≥0. 3.13

Without loss of generality, let us assume that there exists a real numberbsuch thatrn> b >0

for allnN.Then, we have

un1−un2≤

un1−un, xn1−xn

1− rn

rn1

un1−xn1

≤ un1−un

xn1−xn1−rrn n1

un1−xn1

,

3.14

and hence

un1−un ≤ xn1−xnr1

n1|rn1−rn|un1−xn1

≤ xn1−xn1b|rn1−rn|L,

3.15

whereLsup{unxn:nN}.So from3.8, we have

xn1−xnβnαnβnaxnxn−1|αnαn−1|K1

1−αnβnβn1K2 1−αn1−βnxnxn−1

1

b|rnrn−1|L

1−αn1−axnxn1|αnαn−1|K1

1−αnβnβn−1K2 1−αn1−βnb1|rnrn−1|L.

3.16

Using Lemma 2.1 in10, we obtain

lim

n→ ∞xn1−xn0. 3.17

From3.15and|rn1−rn| → 0,we have

lim

n→ ∞un1−un0. 3.18

It follows from3.7that

lim

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Sincexnαn−1fxn−1 1−αn−1Syn−1,we have

xnSynxnSyn1Syn1Syn

αn−1fxn−1−Syn−1yn−1−yn.

3.20

Fromαn → 0,we havexnSyn → 0.ForvFS∩EPF,we have

unv2TrnxnTrnv2

≤ TrnxnTrnv, xnv

unv, xnv

1

2

unv2xnv2− xnun2

,

3.21

and hence

unv2≤ xnv2− xnun2. 3.22

Therefore, from the convexity of · 2, we have

ynv2β

nxnv21−βnSunv2

βnxnv21−βnunv2

βnxnv21−βnxnv2− xnun2

xnv2−1−βnxnun2,

3.23

and hence

xn1−v2αnfxn 1−αnSynv2

αnfxnv2 1−αnSynv2

αnfxnv2 1−αnynv2

αnfxnv2 1−αn

xnv2−1−βnxnun2

αnfxnv2xnv2−1−αn1−βnxnun2.

3.24

So, we have

1−αn1−βnxnun2≤αnfxnv2xnv2− xn1−v2

αnfxnv2xnxn1xnvxn1−v.

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Without loss of generality, let us assume that there exists two real numbersβ∗andβsuch that 1> ββnβ>0 for allnN.Hence,

1−αn

1−βxnun2≤1−αn1−βnxnun2

αnfxnv2xnxn1xnvxn1−v.

3.26

It follows thatxnun → 0.We also have

SunxnSynxnSunSyn

Synxnunyn

Synxnunxnxnyn

Synxnunxn1−βnxnSun.

3.27

It follows that

βSu

nxnβnSunxnSynxnunxn. 3.28

Hence,Sunxn → 0.Since

Sunun ≤ Sunxnxnun, 3.29

we also have limn→ ∞Sunun0. Next, we show that

lim sup

n→ ∞

fzz, xnz≤0, 3.30

wherez PFS∩EPFfz. To show this inequality, we choose a subsequence{xni}of {xn}

such that

lim

n→ ∞fzz, xnizlim sup n→ ∞

fzz, xnz. 3.31

Since{uni}is bounded, there exists a subsequence {unij}of{uni}which converges weakly

tow. Without loss of generality, we can assume that{uni} w. FromSunun → 0,we

obtainSuni w.Let us showw∈EPF.ByunTrnxn,we have

Fun, yr1 n

yun, unxn≥0, ∀y∈C. 3.32

FromA2, we also have

1

rn

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and hence,

yuni,

unixni

rni

Fy, uni

. 3.34

Sinceunixni/rni → 0 anduni w, fromA4, we have

fy, w≤0, ∀y∈C. 3.35

Fortwith 0< t≤1 andyC, letytty 1−tw.SinceyCandwC, we obtainytC

and henceFyt, w≤0. So we have

0Fyt, yttFyt, y 1−tFyt, wtFyt, y. 3.36

Dividing byt, we get

Fyt, y≥0. 3.37

Lettingt → 0 and fromA3, we get

Fw, y≥0 3.38

for allyCand hencew ∈EPF. We shall show thatwFS.Assumew /FS.Since

uni wandw /Sw, from the Opial theorem11we have

lim inf

i→ ∞ uniw<lim infi→ ∞ uniSw ≤lim inf

i→ ∞ {uniSuniSuniSw} ≤lim inf

i→ ∞ uniw.

3.39

This is a contradiction. So, we get wFS. Therefore, wFS∩EPF. Since z

PFS∩EPFfz, we have

lim sup

n→ ∞

fzz, xnzilim→ ∞fzz, xniz

lim

i→ ∞

fzz, uniz

fzz, wz≤0.

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Fromxn1−zαnfxnz 1−αnSynz, we have

1−αn2Synz2≥ xn1−z2−2αnfxnz, xn1−z

, 3.41

ynz2β

nxn 1−βnSunz2

βnxnz21−βnSunz2

βnxnz21−βnunz2

≤ xnz2.

3.42

It follows that

xn1−z2≤1−αn2Synz22αnfxnz, xn1−z

≤1−αn2ynz22αnfxnfz, xn1−z

2αnfzz, xn1−z

≤1−αn2xnz22αnaxnzxn1−z

2αnfzz, xn1−z

≤1−αn2xnz2αnaxnz2xn1−z2

2αnfzz, xn1−z

.

3.43

Hence

xn1−z2≤ 1−αn 2α

na

1−αna xnz

2 2αn

1−αna

fzz, xn1−z

. 3.44

Fromαn → 0, we know that there exists a positive integern0, such that 1>1−αna >1/2 for

allnn0. Then

1−αn2αna

1−αna

1−2αnαna

1−αna

α2 n

1−αna

1−21−aαn 1−αna

α2 n

1−αna

≤1−21−aαn2α2n, ∀n≥n0.

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Putting above inequality into3.44, we get

xn1−z2≤1−21−aαnxnz222n12ααn

naσn, ∀n≥n0, 3.46

whereMsup{xnz2:nN}, andσnfzz, xn1−z.

It follows fromLemma 2.3that

xn−→zFS∩EPF. 3.47

It follows fromxnun → 0 and3.42thatunzandynz.

ByTheorem 3.1, we can obtain the following new result.

Corollary 3.2. LetCbe a nonempty closed convex subset ofH. LetSbe a nonexpansive mapping ofC intoHsuch thatFS/∅.Letfbe a contraction ofHinto itself and let{xn}and{yn}be sequences

generated byx1∈Hand

xn1αnfxn 1−αnSyn,

ynβnxn1−βnSPCxn, ∀n∈N.

3.48

Ifn},{βn} ⊂0,1satisfy the following conditions:

lim

n→ ∞αn0,

n1

αn∞,

n1

n1−αn|<∞,

0<lim inf

n→ ∞ βn≤lim supn→ ∞ βn<1,

n1

βn1βn<∞, 3.49

then,{xn}and{yn}converge strongly tozFS,wherezPFSfz.

Proof. PutFx, y 0 for allx, yCandrn 1 for allnNinTheorem 3.1. Then, we get

unPCxn. So fromTheorem 3.1, the sequences{xn}and{yn}converge strongly tozFS,

wherezPFSfz.

Remark 3.3. Theorem 3.1andCorollary 3.2, respectively, extend and generalize Theorem 3.2

and Corollary 3.3 in7from the Mann iterative form to the Ishikawa iterative form.

Acknowledgments

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