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
1and Yan Wang
21College 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×C → Ris to findx∈Csuch that
Fx, y≥0, ∀y∈C. 1.1
The set of solutions of1.1is denoted by EPF. Given a mappingT : C → H, let
Fx, y Tx, y−xfor allx, y ∈C. Then,z ∈ EPFif and only ifTz, y−z ≥ 0 for all
y∈C. 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
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
y−un, un−xn≥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 z ∈ FS∩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.xn → ximplies 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−λx−y2 2.1
For anyx∈H, there exists a unique nearest point inC, denoted byPCx, such that
x−PCx ≤ x−yfor ally∈C. Such aPCis called the metric projection ofHontoC. It is
also known thatyPCxis equivalent tox−y, y−z ≥0 for allz∈C.
For solving the equilibrium problem, let us assume that the bifunctionF satisfies the following conditions:
A1Fx, x 0 for allx∈C;
A2Fis monotone, that is,Fx, y Fy, x≤0 for anyx, y∈C;
A3for eachx, y, z∈C,
lim
t↓0F
tz 1−tx, y≤Fx, y; 2.2
A4for eachx∈C, y→Fx, 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 andx∈H. Then, there existsz∈Csuch that
Fz, y1ry−z, z−x≥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 andx∈H,define a mappingTr :H → Cas follows:
Trx
z∈C:Fz, y1
r
y−z, z−x≥0, ∀y∈C
2.4
for allx∈H. Then, the following statements hold:
1Tr is single-valued;
2Tr is firmly nonexpansive, that is, for anyx, y∈H,
Trx−Try2≤T
rx−Try, x−y; 2.5
3FTr EPF;
4EPFis closed and convex.
Lemma 2.3see10. Let{an}be a sequence of nonnegative real numbers such that
where{bn}is a sequence of real numbers and{cn}is a sequence in0,1such that
i ∞n1cn ∞,
iilim supn→ ∞bn/cn≤0 or ∞n1|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. If{αn},{βn} ⊂0,1and{rn} ⊂0,∞satisfy the following conditions:
lim
n→ ∞αn0, ∞
n1
αn∞,
∞
n1
|αn1−αn|<∞,
0<lim inf
n→ ∞ βn≤lim supn→ ∞ βn<1, ∞
n1
βn1−βn<∞,
lim inf
n→ ∞ rn>0, ∞
n1
|rn1−rn|<∞,
3.1
then,{xn},{yn},and{un}converge strongly toz∈FS∩EPF,wherezPFS∩EPFfz.
Proof. LetQ PFS∩EPF.ThenQf is a contraction ofHinto itself. In fact, there existsa ∈
0,1such thatfx−fy ≤ax−yfor allx, y∈H. So, we have that
Qfx−Qf
y≤fx−fy≤ax−y 3.2
for allx, y∈H.SinceHis complete, there exists a unique elementz∈Hsuch thatzQfz. Such az∈His an element ofC.
Letv∈FS∩EPF. Then fromunTrnxn,we have
un−vTrnxn−Trnv ≤ xn−v 3.3
Supposexn−v ≤M.Then, we have
xn1−v ≤αnfxn−v 1−αnSyn−v
≤αnfxn−fvαnfv−v 1−αnSyn−v
≤aαnxn−vαnfv−v 1−αnyn−v.
3.4
On the other hand
yn−v≤βnxn−v
1−βnSun−v
≤βnxn−v1−βnun−v
≤βnxn−v1−βnxn−v
xn−v.
3.5
Putting3.5into3.4, we have
xn1−v ≤aαnxn−vαnfv−v 1−αnxn−v
1−αn1−axn−vαn1−a
fv−v
1−a
≤1−αn1−aMαn1−aMM.
3.6
So, we have thatxn1−v ≤Mfor anyn∈N. 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,
yn−yn−1βnxn
1−βnSun−βn−1xn−1
1−βn−1
Sun−1
βnxn−xn−1
βn−βn−1
xn−1
1−βnSun−Sun−1
βn−1−βn
Sun−1
≤βn−βn−1xn−1βnxn−xn−1
1−βnun−un−1βn−βn−1Sun−1,
and hence
xn1−xnαnfxn 1−αnSyn−αn−1fxn−1−1−αn−1Syn−1
αnfxn−αnfxn−1 αnfxn−1−αn−1fxn−1
1−αnSyn−1−αnSyn−1 1−αnSyn−1−1−αn−1Syn−1
≤αnaxn−xn−1|αn−αn−1|fxn−1 1−αnyn−yn−1
|αn−αn−1|Syn−1
≤αnaxn−xn−1|αn−αn−1|fxn−1 1−αn
×βn−βn−1xn−1βnxn−xn−1
1−βnun−un−1βn−βn−1Sun−1
|αn−αn−1|Syn−1
βn−αnβn−axn−xn−1|αn−αn−1|fxn−1Syn−1
1−αnβn−βn−1xn−1Sun−1 1−αn1−βnun−un−1
≤βn−αnβn−axn−xn−1|αn−αn−1|K1 1−αnβn−βn−1K2
1−αn1−βnun−un−1,
3.8
whereK1sup{fxnSyn:n∈N}andK2sup{xnSun:n∈N}.
On the other hand, fromunTrnxnandun1 Trn1xn1, we have
Fun, yr1 n
y−un, un−xn≥0, ∀y∈C, 3.9
Fun1, y
1
rn1
y−un1, un1−xn1
≥0, ∀y∈C. 3.10
Puttingyun1in3.9andyunin3.10, we have
Fun, un1
1
rnun1−un, un−xn ≥0,
Fun1, un
1
rn1un−un1, un1−xn1 ≥
0.
3.11
So, from the monotonicity ofF, we get
un1−un,unr−xn
n −
un1−xn1
rn1
and hence
un1−un, un−un1un1−xn−rrn
n1un1−xn1
≥0. 3.13
Without loss of generality, let us assume that there exists a real numberbsuch thatrn> b >0
for alln∈N.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{un−xn:n∈N}.So from3.8, we have
xn1−xn ≤βn−αnβn−axn−xn−1|αn−αn−1|K1
1−αnβn−βn−1K2 1−αn1−βnxn−xn−1
1
b|rn−rn−1|L
1−αn1−axn−xn−1|αn−αn−1|K1
1−αnβn−βn−1K2 1−αn1−βnb1|rn−rn−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
Sincexnαn−1fxn−1 1−αn−1Syn−1,we have
xn−Syn≤xn−Syn−1Syn−1−Syn
≤αn−1fxn−1−Syn−1yn−1−yn.
3.20
Fromαn → 0,we havexn−Syn → 0.Forv∈FS∩EPF,we have
un−v2Trnxn−Trnv2
≤ Trnxn−Trnv, xn−v
un−v, xn−v
1
2
un−v2xn−v2− xn−un2
,
3.21
and hence
un−v2≤ xn−v2− xn−un2. 3.22
Therefore, from the convexity of · 2, we have
yn−v2≤β
nxn−v21−βnSun−v2
≤βnxn−v21−βnun−v2
≤βnxn−v21−βnxn−v2− xn−un2
xn−v2−1−βnxn−un2,
3.23
and hence
xn1−v2αnfxn 1−αnSyn−v2
≤αnfxn−v2 1−αnSyn−v2
≤αnfxn−v2 1−αnyn−v2
≤αnfxn−v2 1−αn
xn−v2−1−βnxn−un2
≤αnfxn−v2xn−v2−1−αn1−βnxn−un2.
3.24
So, we have
1−αn1−βnxn−un2≤αnfxn−v2xn−v2− xn1−v2
≤αnfxn−v2xn−xn1xn−vxn1−v.
Without loss of generality, let us assume that there exists two real numbersβ∗andβsuch that 1> β≥βn≥β∗>0 for alln∈N.Hence,
1−αn
1−βxn−un2≤1−αn1−βnxn−un2
≤αnfxn−v2xn−xn1xn−vxn1−v.
3.26
It follows thatxn−un → 0.We also have
Sun−xn ≤Syn−xnSun−Syn
≤Syn−xnun−yn
≤Syn−xnun−xnxn−yn
Syn−xnun−xn1−βnxn−Sun.
3.27
It follows that
β∗Su
n−xn ≤βnSun−xn ≤Syn−xnun−xn. 3.28
Hence,Sun−xn → 0.Since
Sun−un ≤ Sun−xnxn−un, 3.29
we also have limn→ ∞Sun−un0. Next, we show that
lim sup
n→ ∞
fz−z, xn−z≤0, 3.30
wherez PFS∩EPFfz. To show this inequality, we choose a subsequence{xni}of {xn}
such that
lim
n→ ∞fz−z, xni−zlim sup n→ ∞
fz−z, xn−z. 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. FromSun−un → 0,we
obtainSuni w.Let us showw∈EPF.ByunTrnxn,we have
Fun, yr1 n
y−un, un−xn≥0, ∀y∈C. 3.32
FromA2, we also have
1
rn
and hence,
y−uni,
uni−xni
rni
≥Fy, uni
. 3.34
Sinceuni−xni/rni → 0 anduni w, fromA4, we have
fy, w≤0, ∀y∈C. 3.35
Fortwith 0< t≤1 andy∈C, letytty 1−tw.Sincey∈Candw∈C, we obtainyt∈C
and henceFyt, w≤0. So we have
0Fyt, yt≤tFyt, y 1−tFyt, w≤tFyt, y. 3.36
Dividing byt, we get
Fyt, y≥0. 3.37
Lettingt → 0 and fromA3, we get
Fw, y≥0 3.38
for ally ∈Cand hencew ∈EPF. We shall show thatw ∈FS.Assumew /∈FS.Since
uni wandw /Sw, from the Opial theorem11we have
lim inf
i→ ∞ uni−w<lim infi→ ∞ uni −Sw ≤lim inf
i→ ∞ {uni−SuniSuni −Sw} ≤lim inf
i→ ∞ uni −w.
3.39
This is a contradiction. So, we get w ∈ FS. Therefore, w ∈ FS∩EPF. Since z
PFS∩EPFfz, we have
lim sup
n→ ∞
fz−z, xn−zilim→ ∞fz−z, xni−z
lim
i→ ∞
fz−z, uni−z
fz−z, w−z≤0.
Fromxn1−zαnfxn−z 1−αnSyn−z, we have
1−αn2Syn−z2≥ xn1−z2−2αnfxn−z, xn1−z
, 3.41
yn−z2β
nxn 1−βnSun−z2
≤βnxn−z21−βnSun−z2
≤βnxn−z21−βnun−z2
≤ xn−z2.
3.42
It follows that
xn1−z2≤1−αn2Syn−z22αnfxn−z, xn1−z
≤1−αn2yn−z22αnfxn−fz, xn1−z
2αnfz−z, xn1−z
≤1−αn2xn−z22αnaxn−zxn1−z
2αnfz−z, xn1−z
≤1−αn2xn−z2αnaxn−z2xn1−z2
2αnfz−z, xn1−z
.
3.43
Hence
xn1−z2≤ 1−αn 2α
na
1−αna xn−z
2 2αn
1−αna
fz−z, xn1−z
. 3.44
Fromαn → 0, we know that there exists a positive integern0, such that 1>1−αna >1/2 for
alln≥n0. 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.
Putting above inequality into3.44, we get
xn1−z2≤1−21−aαnxn−z22Mα2n1−2ααn
naσn, ∀n≥n0, 3.46
whereMsup{xn−z2:n∈N}, andσnfz−z, xn1−z.
It follows fromLemma 2.3that
xn−→z∈FS∩EPF. 3.47
It follows fromxn−un → 0 and3.42thatun → zandyn → z.
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
If{αn},{βn} ⊂0,1satisfy the following conditions:
lim
n→ ∞αn0, ∞
n1
αn∞,
∞
n1
|αn1−αn|<∞,
0<lim inf
n→ ∞ βn≤lim supn→ ∞ βn<1, ∞
n1
βn1−βn<∞, 3.49
then,{xn}and{yn}converge strongly toz∈FS,wherezPFSfz.
Proof. PutFx, y 0 for allx, y ∈Candrn 1 for alln∈NinTheorem 3.1. Then, we get
unPCxn. So fromTheorem 3.1, the sequences{xn}and{yn}converge strongly toz∈FS,
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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