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Volume 2010, Article ID 312602,18pages doi:10.1155/2010/312602

Research Article

Hybrid Projection Algorithms for

Generalized Equilibrium Problems and

Strictly Pseudocontractive Mappings

Jong Kyu Kim,

1

Sun Young Cho,

2

and Xiaolong Qin

3

1Department of Mathematics Education, Kyungnam University, Masan 631-701, Republic of Korea

2Department of Mathematics, Gyeongsang National University, Chinju 660-701, Republic of Korea

3Department of Mathematics, Hangzhou Normal University, Hangzhou 310036, China

Correspondence should be addressed to Jong Kyu Kim,[email protected]

Received 12 October 2009; Accepted 19 July 2010

Academic Editor: Andr´as Ront ´o

Copyrightq2010 Jong Kyu Kim et al. 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.

The purpose of this paper is to consider the problem of finding a common element in the solution set of equilibrium problems and in the fixed point set of a strictly pseudocontractive mapping. Strong convergence of the purposed hybrid projection algorithm is obtained in Hilbert spaces.

1. Introduction and Preliminaries

LetHbe a real Hilbert space with inner product·,·and norm · . LetCbe a nonempty closed convex subset ofHandS :CCa nonlinear mapping. In this paper, we useFS

to denote the fixed point set ofS. Recall that the mappingSis said to be nonexpansive if SxSyxy, x, yC. 1.1

Sis said to bek-strictly pseudocontractive if there exists a constantk∈0,1such that SxSy2

xy2kxSxySy2,x, yC. 1.2

Sis said to be pseudocontractive if SxSy2

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The class of strictly pseudocontractive mappings was introduced by Browder and Petryshyn

1in 1967. It is easy to see that the class of strictly pseudocontractive mappings falls into the class of nonexpansive mappings and the class of pseudocontractions.

LetA:CHbe a mapping. Recall thatAis said to be monotone if

AxAy, xy≥0,x, yC. 1.4

Ais said to be inverse-strongly monotone if there exists a constantα >0 such that

AxAy, xyαAxAy2,x, yC. 1.5

LetF be a bifunction ofC×CintoR, whereRdenotes the set of real numbers and

A:CHan inverse-strongly monotone mapping. In this paper, we consider the following generalized equilibrium problem.

FindxCsuch thatFx, yAx, yx≥0,yC. 1.6

In this paper, the set of such anxCis denoted by EPF, A, that is,

EPF, A xC:Fx, yAx, yx≥0,yC. 1.7

To study the generalized equilibrium problems1.6, we may assume thatF satisfies the following conditions:

A1Fx, x 0 for allxC;

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

A3for eachx, y, zC,

lim sup t↓0

Ftz 1−tx, yFx, y; 1.8

A4for eachxC,yFx, yis convex and weakly lower semicontinuous. Next, we give two special cases of the problem1.6.

IIfA≡0, then the generalized equilibrium problem1.6is reduced to the following equilibrium problem:

Find xCsuch thatFx, y≥0,yC. 1.9

In this paper, the set of such anxCis denoted by EPF, that is,

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IIIf F ≡ 0, then the problem1.6is reduced to the following classical variational inequality. FindxCsuch that

Ax, yx≥0,yC. 1.11

It is known thatxCis a solution to1.11if and only ifxis a fixed point of the mappingPCIρA, whereρ >0 is a constant andIis the identity mapping.

Recently, many authors studied the problems 1.6 and 1.9 based on iterative methods; see, for example,2–18.

In 2007, Tada and Takahashi 17 considered the problem 1.9 and proved the following result.

Theorem TT. LetCbe a nonempty closed convex subset ofH. LetFbe a bifunction fromC×CtoR satisfyingA1–A4and letSbe a nonexpansive mapping ofCintoHsuch thatFSEPF/. Let{xn}and{un}be sequences generated byx1xHand let

Fun, y

1

rn

yun, unxn

≥0,yC,

wn 1−αnxnαnSun,

Cn{zH:wnzxnz},

Dn{zH:xnz, xxn ≥0},

xn1PCnDnx,

1.12

for everyn≥1, where{αn} ⊂a,1for somea∈0,1and{rn} ⊂0,satisfieslim infn→ ∞rn > 0. Then,{xn}converges strongly toPFSEPFx.

In this paper, we consider the generalized equilibrium problem1.6 and a strictly pseudocontractive mapping based on the shrinking projection algorithm which was first introduced by Takahashi et al. 18. A strong convergence of common elements of the fixed point sets of the strictly pseudocontractive mapping and of the solution sets of the generalized equilibrium problem is established in the framework of Hilbert spaces. The results presented in this paper improve and extend the corresponding results announced by Tada and Takahashi17.

In order to prove our main results, we also need the following definitions and lemmas.

Lemma 1.1see19. LetCbe a nonempty closed convex subset of a Hilbert spaceHandT :CCak-strict pseudocontraction. ThenTis1k/1−k-Lipschitz andITis demiclosed, this is, if

{xn}is a sequence inCwithxn xandxnTxn → 0, thenxFT.

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Lemma 1.2. LetCbe a nonempty closed convex subset ofHand letF:C×C → Rbe a bifunction satisfyingA1–A4. Then, for anyr >0andxH, there existszCsuch that

Fz, y1 r

yz, zx≥0,yC. 1.13

Further, define

Trx zC:F

z, y1 r

yz, zx≥0,yC

1.14

for allr >0andxH.Then, the following hold:

aTr is single-valued;

bTr is firmly nonexpansive, that is, for anyx, yH,

TrxTry2

TrxTry, xy

; 1.15

cFTr EPF;

dEPFis closed and convex.

Lemma 1.3see1. LetCbe a nonempty closed convex subset of a real Hilbert spaceHandS :

CCak-strict pseudocontraction with a fixed point. DefineS:CCbySaxax 1−aSx

for eachxC. Ifak,1, thenSais nonexpansive withFSa FS.

2. Main Results

Theorem 2.1. LetCbe a nonempty closed convex subset of a real Hilbert spaceH. LetF1 and F2

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ak-strict pseudocontraction. Let{rn} and {sn} be two positive real sequences. Assume thatF :

EPF1, AFPF2, BFSis not empty. Let{xn}be a sequence generated in the following manner:

x1∈C,

C1C,

F1un, u Axn, uun 1

rnuun, unxn

0,uC,

F2vn, v Bxn, vvn 1

snvvn, vnxn ≥0,vC,

znγnun

1−γn

vn,

ynαnxn 1−αn

βnzn

1−βn

Szn

,

Cn1

wCn:ynwxnw

,

xn1PCn1x1, n≥1,

Υ

where{αn},{βn}, and{γn}are sequences in0,1. Assume that{αn},{βn},{γn},{rn}, and{sn}

satisfy the following restrictions:

a0≤αna <1;

b0≤kβn< b <1;

c0≤cγnd <1;

d0< ernf <2αand0< esnf<2β.

Then the sequence{xn}generated inΥconverges strongly to some pointx, wherexPFx1.

Proof. Note thatuncan be rewritten as

unTrnxnrnAxn,n≥1 2.1

andvncan be rewritten as

vnTsnxnsnBxn,n≥1. 2.2

Fixp∈ F. It follows that

pSpTrn

prnAp

Tsn

psnBp

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Note thatIrnAis nonexpansive for eachn≥1.Indeed, for anyx, yC, we see from the restrictiondthat

IrnAxIrnAy2

xyrn

AxAy2

xy2−2rn

xy, AxAyrn2AxAy 2

xy2−rn2αrnAxAy2

xy2.

2.4

This shows thatIrnAis nonexpansive for eachn≥1. In a similar way, we can obtain that

IsnBis nonexpansive for eachn≥1. It follows that

unpxnp, unpxnp. 2.5

This implies that

znpγnunp

1−γnvnpxnp. 2.6

Now, we are in a position to show thatCnis closed and convex for eachn≥1.From the assumption, we see thatC1 Cis closed and convex. Suppose thatCmis closed and convex for somem ≥ 1. We show thatCm1 is closed and convex for the samem. Indeed, for any

wCm, we see that

ymwxmw 2.7

is equivalent to

ym2

xm2−2

w, ymxm

≥0. 2.8

ThusCm1is closed and convex. This shows thatCnis closed and convex for eachn≥1. Next, we show thatF ⊂Cnfor eachn≥1.From the assumption, we see thatF ⊂C

C1. Suppose thatF ⊂Cmfor somem≥1.Putting

SnβnI

1−βn

S,n≥1, 2.9

we see fromLemma 1.3thatSnis a nonexpansive mapping for eachn≥1. For anyw ∈ F ⊂

Cm, we see from2.6that

ymwαmxm 1αmSmzmw

αmxmw 1−αmzmw

xmw.

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This shows thatwCm1. This proves thatF ⊂Cnfor eachn≥1. NotexnPCnx1. For each

w∈ F ⊂Cn, we have

x1−xnx1−w. 2.11

In particular, we have

x1−xnx1−PFx1. 2.12

This implies that{xn}is bounded. SincexnPCnx1andxn1PCn1x1∈Cn1⊂Cn, we have

0≤ x1−xn, xnxn1

x1−xn, xnx1x1−xn1

≤ −x1−xn2x1−xnx1−xn1.

2.13

It follows that

xnx1 ≤ xn1−x1. 2.14

This proves that limn→ ∞xnx1exists. Notice that

xnxn12xnx1x1−xn12

xnx122xnx1, x1−xn1x1−xn12

xnx122xnx1, x1−xnxnxn1x1−xn12

xnx12−2xnx122xnx1, xnxn1x1−xn12

x1−xn12− xnx12.

2.15

It follows that

lim

n→ ∞xnxn10. 2.16

Sincexn1PCn1x1∈Cn1, we see that

ynxn1xnxn1. 2.17

This implies that

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From2.16, we obtain that

lim

n→ ∞xnyn0. 2.19

On the other hand, we have

xnynxnαnxn1−αnSnzn 1−αnxnSnzn. 2.20

From the assumption 0≤αna <1 and2.19, we have

lim

n→ ∞xnSnzn0. 2.21

For anyp∈ F, we have

unp2

TrnIrnAxnTrnIrnAp2

xnp

rn

AxnAp2

xnp2−2rn

xnp, AxnAp

rn2AxnAp2

xnp2−rn2αrnAxnAp2.

2.22

In a similar way, we also have

vnp2

xnp2−sn

2βsnBxnBp2. 2.23

Note that

ynp2

αnxn 1−αnSnznp2

αnxnp2 1−αnSnznp2

αnxnp2 1−αnznp2

αnxnp2 1−αnγnunp2 1−αn

1−γnvnp2.

2.24

Substituting2.22and2.23into2.24, we arrive at

ynp2

xnp2−1−αnγnrn2αrnAxnAp2

−1−αn

1−γn

sn

2βsnBxnBp2.

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It follows that

1−αnγnrn2αrnAxnAp2≤xnp2−ynp2

xnpynpxnyn.

2.26

In view of the restrictionsa–dand2.19, we obtain that

lim

n→ ∞AxnAp0. 2.27

It also follows from2.25that

1−αn

1−γn

sn

2βsnBxnBp2≤xnp2−ynp2

xnpynpxnyn.

2.28

By virtue of the restrictionsa–dand2.19, we get that

lim

n→ ∞BxnBp0. 2.29

On the other hand, we have fromLemma 1.1that

unp2

TrnIrnAxnTrnIrnAp2

IrnAxnIrnAp, unp

1

2

IrnAxnIrnAp2unp2−IrnAxnIrnAp

unp2

≤ 1

2

xnp2unp2−xnunrnAxnAp2

1

2

xnp2unp2−

xnun2−2rn

xnun, AxnAp

rn2AxnAp2

.

2.30

This implies that

unp2

xnp2− xnun22rnxnunAxnAp. 2.31

In a similar way, we can also obtain that

vnp2

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Substituting2.31and2.32into2.24, we obtain that ynp2

xnp2−1−αnγnxnun22rn1−αnγnxnunAxnAp

−1−αn

1−γn

xnvn22sn1−αn

1−γn

xnvnBxnBp

xnp2−1−αnγnxnun22rnxnunAxnAp

−1−αn

1−γn

xnvn22snxnvnBxnBp.

2.33

It follows that

1−αnγnxnun2≤xnp2−ynp22rnxnunAxnAp

2snxnvnBxnBp

xnpynpxnyn2rnxnunAxnAp

2snxnvnBxnBp.

2.34

In view of the restrictionsaandc, we obtain from2.27and2.29that

lim

n→ ∞xnun0. 2.35

It also follows from2.33that

1−αn

1−γn

xnvn2≤xnp2−ynp22rnxnunAxnAp

2snxnvnBxnBp

xnpynpxnyn2rnxnunAxnAp

2snxnvnBxnBp.

2.36

Thanks to the restrictionsaandc, we obtain from2.27and2.29that

lim

n→ ∞xnvn0. 2.37

Note that

znxnγnunxn

1−γn

vnxn. 2.38

From2.35and2.37, we see that

lim

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On the other hand, we see from2.21that

βnznxn

1−βn

Sznxn−→0 2.40

asn → ∞.In view of2.39and the restrictionb, we obtain that

lim

n→ ∞xnSzn0. 2.41

Note that

SxnxnSxnSznSznxn

1k

1−kxnznSznxn. 2.42

It follows from2.39and2.41that

lim

n→ ∞xnSxn0. 2.43

Since{xn}is bounded, we assume that a subsequence{xni}of{xn}converges weakly toξ. Next, we show thatξFS∩EPF1, A∩EPF2, B.First, we prove thatξ∈EPF1, A. SinceunTrnxnrnAxnfor anyuC, we have

F1un, u Axn, uun 1

rnuun, unxn

0. 2.44

From the conditionA2, we see that

Axn, uun

1

rnuun, unxnF1u, un. 2.45

Replacingnbyni, we arrive at

Axni, uuni

uuni,unixni

rni

F1u, uni. 2.46

For anytwith 0< t≤1 anduC,letuttu 1−. SinceuCandξC, we haveutC. It follows from2.46that

utuni, Aututuni, AutAxni, utuni

utuni,unixni

rni

F1ut, uni

utuni, AutAuniutuni, AuniAxni

utuni,uni

xni

rni

F1ut, uni.

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SinceAis Lipschitz continuous, we obtain from2.35thatAuniAxni → 0 asi → ∞. On the other hand, we get from the monotonicity ofAthat

utuni, AutAuni ≥0. 2.48

It follows fromA4and2.47that

utξ, AutF1ut, ξ. 2.49

FromA1,A4, and2.49, we see that

0F1ut, uttF1ut, u 1−tF1ut, ξ

tF1ut, u 1−tutξ, Aut

tF1ut, u 1−ttuξ, Aut,

2.50

which yields that

F1ut, u 1−tuξ, Aut ≥0. 2.51

Lettingt → 0 in the above inequality, we arrive at

F1ξ, u uξ, Aξ ≥0. 2.52

This shows thatξ∈EPF1, A.In a similar way, we can obtain thatξ∈EPF2, B.

Next, we show thatξFS. We can conclude fromLemma 1.1the desired conclusion easily. This proves thatξ ∈ F.Putx PFx1.Sincex PFx1 ⊂ Cn1 andxn1 PCn1x1, we

have

x1−xn1 ≤ x1−x. 2.53

On the other hand, we have

x1−xx1−ξ

≤lim inf

i→ ∞ x1−xni ≤lim sup

i→ ∞ x1−xni

x1−x.

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We, therefore, obtain that

x1−ξ lim

i→ ∞x1−xnix1−x. 2.55

This implies xniξ x.Since{xni}is an arbitrary subsequence of {xn}, we obtain that

xnxasn → ∞.This completes the proof.

IfSis nonexpansive, then we have fromTheorem 2.1the following result immediately.

Corollary 2.2. Let C be a nonempty closed convex subset of a real Hilbert space H. LetF1 and

F2 be two bifunctions from C×C toR which satisfies A1–A4. Let A : CH be an α

-inverse-strongly monotone mapping, B : CH a β-inverse-strongly monotone mapping, and

S:CCa nonexpansive mapping. Let{rn}and{sn}be two positive real sequences. Assume that

F:EPF1, AFPF2, BFSis not empty. Let{xn}be a sequence generated in the following

manner:

x1∈C,

C1C,

F1un, u Axn, uun 1

rnuun, unxn

0,uC,

F2vn, v Bxn, vvn 1

snvvn, vnxn

0,vC,

ynαnxn 1−αnS

γnun

1−γn

vn

,

Cn1

wCn:ynwxnw

,

xn1PCn1x1, n≥1,

2.56

where {αn} and {γn}are sequences in 0,1. Assume that {αn},{γn}, {rn}, and {sn} satisfy the

following restrictions:

a0≤αna <1;

b0≤cγnd <1;

c0< ernf <2αand0< esnf<2β.

Then the sequence{xn}converges strongly to some pointx, wherexPFx1.

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Theorem 2.3. LetCbe a nonempty closed convex subset of a real Hilbert spaceH. LetA:CHbe anα-inverse-strongly monotone mapping,B:CHaβ-inverse-strongly monotone mapping, and

S :CCak-strict pseudocontraction. Let{rn}and{sn}be two positive real sequences. Assume

thatF:V IC, AV IC, BFSis not empty. Let{xn}be a sequence generated in the following

manner:

x1∈C,

C1C,

znγnPCIrnAxn

1−γn

PCIsnBxn,

ynαnxn 1−αn

βnzn

1−βn

Szn

,

Cn1

wCn:ynwxnw

,

xn1PCn1x1, n≥1,

2.57

where{αn},{βn}, and{γn}are sequences in0,1. Assume that{αn},{βn},{γn},{rn}, and{sn}

satisfy the following restrictions:

a0≤αna <1;

b0≤kβn< b <1;

c0≤cγnd <1;

d0< ernf <2αand0< esnf<2β.

Then the sequence{xn}converges strongly to some pointx, wherexPFx1.

Proof. PuttingF1F2≡0, we see that

Axn, uun 1

rnuun, unxn

0,uC, 2.58

is equivalent to

xnrnAxnun, unu ≥0,uC. 2.59

This implies thatunPCxnrnAxn.We also havevnPCxnsnBxn.We can obtain from

Theorem 2.1the desired results immediately.

Corollary 2.4. LetCbe a nonempty closed convex subset of a real Hilbert spaceH. LetA:CH

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thatF:V IC, AV IC, BFSis not empty. Let{xn}be a sequence generated in the following

manner:

x1∈C,

C1C,

znγnPCIrnAxn

1−γn

PCIsnBxn,

yn αnxn 1−αnSzn,

Cn1

wCn:ynwxnw

,

xn1PCn1x1, n≥1,

2.60

where {αn} and {γn}are sequences in 0,1. Assume that {αn},{γn}, {rn}, and {sn} satisfy the

following restrictions:

a0≤αna <1;

b0≤cγnd <1;

c0< ernf <2αand0< esnf<2β.

Then the sequence{xn}converges strongly to some pointx, wherexPFx1.

Theorem 2.5. Let C be a nonempty closed convex subset of a real Hilbert space H. Let F1 and

F2 be two bifunctions from C× C to R which satisfies A1–A4. Let S : CC be a k

-strict pseudocontraction. Let {rn} and {sn} be two positive real sequences. Assume that F :

EPF1∩FPF2∩FSis not empty. Let{xn}be a sequence generated in the following manner:

x1∈C,

C1C,

F1un, u 1

rnuun, unxn ≥0,uC,

F2vn, v 1

snvvn, vnxn

0,vC,

znγnun

1−γn

vn,

ynαnxn 1−αn

βnzn

1−βn

Szn

,

Cn1

wCn:ynwxnw

,

xn1PCn1x1, n≥1,

2.61

where{αn},{βn}, and{γn}are sequences in0,1. Assume that{αn},{βn},{γn},{rn}, and{sn}

satisfy the following restrictions:

a0≤αna <1;

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c0≤cγnd <1;

d0< ernf <and0< esnf<.

Then the sequence{xn}converges strongly to some pointx, wherexPFx1.

Proof. Putting A B 0, we can obtain from Theorem 2.1 the desired conclusion immediately.

Remark 2.6. Theorem 2.5is generalization of Theorem TT. To be more precise, we consider a pair of bifunctions and a strictly pseudocontractive mapping.

Let T : CCbe ak-strict pseudocontraction. It is known thatIT is a1−k/ 2-inverse-strongly monotone mapping. The following results are not hard to derive.

Theorem 2.7. Let C be a nonempty closed convex subset of a real Hilbert space H. Let F1 and

F2 be two bifunctions from C× C to R which satisfies A1–A4. Let TA : CC be a

kα-strict pseudocontraction, B : CC a kβ-strict pseudocontraction, and S : CC a

k-strict pseudocontraction. Let {rn} and {sn} be two positive real sequences. Assume that F :

EPF1, ITAFPF2, ITBFSis not empty. Let{xn}be a sequence generated in the following

manner:

x1∈C,

C1C,

F1un, u ITAxn, uun 1

rnuun, unxn

0,uC,

F2vn, v ITBxn, vvn 1

snvvn, vnxn

0,vC,

znγnun

1−γn

vn,

ynαnxn 1−αn

βnzn

1−βn

Szn

,

Cn1

wCn:ynwxnw

,

xn1PCn1x1, n≥1,

2.62

where{αn},{βn}, and{γn}are sequences in0,1. Assume that{αn},{βn},{γn},{rn}, and{sn}

satisfy the following restrictions:

a0≤αna <1;

b0≤kβn< b <1;

c0≤cγnd <1;

d0< ernf <1−kαand0< esnf<1−kβ.

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Acknowledgment

This work was supported by a National Research Foundation of Korea Grant funded by the Korean Government2009-0076898.

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13 X. Qin, S. M. Kang, and Y. J. Cho, “Convergence theorems on generalized equilibrium problems and fixed point problems with applications,”Proceedings of the Estonian Academy of Sciences, vol. 58, no. 3, pp. 170–183, 2009.

14 X. Qin, Y. J. Cho, and S. M. Kang, “Convergence theorems of common elements for equilibrium problems and fixed point problems in Banach spaces,” Journal of Computational and Applied Mathematics, vol. 225, no. 1, pp. 20–30, 2009.

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16 S. Takahashi and W. Takahashi, “Strong convergence theorem for a generalized equilibrium problem and a nonexpansive mapping in a Hilbert space,”Nonlinear Analysis: Theory, Methods & Applications, vol. 69, no. 3, pp. 1025–1033, 2008.

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References

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