• No results found

On hybrid split problem and its nonlinear algorithms

N/A
N/A
Protected

Academic year: 2020

Share "On hybrid split problem and its nonlinear algorithms"

Copied!
20
0
0

Loading.... (view fulltext now)

Full text

(1)

R E S E A R C H

Open Access

On hybrid split problem and its nonlinear

algorithms

Zhenhua He

1

and Wei-Shih Du

2*

*Correspondence:

[email protected]

2Department of Mathematics,

National Kaohsiung Normal University, Kaohsiung, 824, Taiwan Full list of author information is available at the end of the article

Abstract

In this paper, we study a hybrid split problem (HSP for short) for equilibrium problems and fixed point problems of nonlinear operators. Some strong and weak convergence theorems are established.

MSC: 47J25; 47H09; 65K10

Keywords: fixed point problem; equilibrium problem; hybrid split problem; iterative algorithm; strong (weak) convergence theorem

1 Introduction

Throughout this paper, we assume thatHis a real Hilbert space with zero vectorθ, whose inner product and norm are denoted by·,·and · , respectively. LetCbe a nonempty subset ofHandT :CH be a mapping. Denote byF(T) the set of fixed points ofT. The symbolsNandRare used to denote the sets of positive integers and real numbers, respectively.

LetHbe a Hilbert space andCbe a closed convex subset ofH. Letf :C×C→Rbe a bi-function. The classical equilibrium problem (EP for short) is defined as follows.

FindpCsuch thatf(p,y)≥, ∀y∈C. (EP)

The symbolEP(f) is used to denote the set of all solutions of the problem (EP), that is,

EP(f) =uK:f(u,v)≥,∀vK.

It is known that the problem (EP) contains optimization problems, complementary prob-lems, variational inequalities probprob-lems, saddle point probprob-lems, fixed point probprob-lems, bilevel problems, semi-infinite problems and others as special cases and have many ap-plications in physics and economics problems; for detail, one can refer to [–] and refer-ences therein.

In last ten years or so, the problem (EP) has been generalized and improved to find a common element of the set of fixed points of a nonlinear operator and the set of solutions of the problem (EP). More precisely, many authors have studied the following problem (FTEP) (see, for instance, [–]):

FindpCsuch thatTp=pandf(p,y)≥, ∀y∈C, (FTEP)

(2)

whereCis a closed convex subset of a Hilbert spaceH,f:C×C→Ris a bi-function and T:CCis a nonlinear operator.

In this paper, motivated by the problems (EP) and (FTEP), we study the following math-ematical model about a hybrid split problem for equilibrium problems and fixed point problems of nonlinear operators (HSP for short).

LetE andE be two real Banach spaces. LetC be a closed convex subset ofE and

K be a closed convex subset ofE. Letf :C×C→Randg:K×K→Rbe two

bi-functions,A:E→Ebe a bounded linear operator. LetT:CCandS:KKbe two

nonlinear operators withF(T) =∅andF(S) =∅. The mathematical model about a hybrid split problem for equilibrium problems and fixed point problems of nonlinear operators (HSP for short) is defined as follows:

FindpCsuch thatTp=p,f(p,y)≥, ∀y∈C, and

u:=ApsatisfyingSu=uK,g(u,v)≥, ∀v∈K.

(HSP)

In fact, (HSP) contains several important problems as special cases. We give some ex-amples to explain about it.

Example A If T is an identity operator onC, then (HSP) will reduce to the following problem (P):

(P) FindpCsuch thatf(p,y)≥,∀yC, andu:=ApsatisfyingSu=uK,g(u,v)≥,

vK.

Example B IfSis an identity operator onK, then (HSP) will reduce to the following prob-lem (P):

(P) FindpCsuch thatTp=p,f(p,y)≥,∀y∈C, andu:=ApKsatisfyingg(u,v)≥,

∀v∈K.

Example C IfT,Sare all identity operators, then (HSP) will reduce to the following split equilibrium problem (P) which has been considered in []:

(P) FindpCsuch thatf(p,y)≥,∀y∈C, andu:=ApKsatisfyingg(u,v)≥,∀v∈K.

Example D IfSis an identity operator andf(x,y)≡ for all (x,y)C×C, then (HSP) will reduce to the following problem (P) which has been studied in []:

(P) FindpCsuch thatTp=pandu:=ApKsatisfyingg(u,v)≥,∀vK.

In this paper, we introduce some new iterative algorithms for (HSP) and some strong and weak convergence theorems for (HSP) will be established.

2 Preliminaries

In what follows, the symbolsand→will symbolize weak convergence and strong con-vergence as usual, respectively. A Banach space (X, · ) is said to satisfy Opial’s condition if for each sequence{xn}inXwhich converges weakly to a pointxX, we have

lim inf

(3)

It is well known that any Hilbert space satisfies Opial’s condition. LetK be a nonempty subset of real Hilbert spacesH. Recall that a mappingT:KKis said to be nonexpansive ifTxTyxyfor allx,yK.

LetHandHbe two Hilbert spaces. LetA:H→HandB:H→Hbe two bounded

linear operators.Bis called the adjoint operator (or adjoint) ofAif for allzH,wH,

BsatisfiesAz,w=z,Bw. It is known that the adjoint operator of a bounded linear op-erator on a Hilbert space always exists and is bounded linear and unique. Moreover, it is not hard to show that ifBis an adjoint operator ofA, thenA=B.

Example .([]) LetH=Rwith the standard norm| · |andH=R with the norm

α= (a+a) for someα= (a,a)∈R.x,y=xydenotes the inner product ofH

for somex,yHandα,β=

i=aibi denotes the inner product ofH for someα=

(a,a),β= (b,b)∈H. Let=a–aforα= (a,a)∈HandBx= (–x,x) forxH,

thenBis an adjoint operator ofA.

Example .([]) LetH=Rwith the normα= (a+a)

 for someα= (a,a)∈R

andH=Rwith the normγ= (c+c+c)

 for someγ = (c,c,c)∈R. Letα,β=

i=aibiandγ,η=

i=cididenote the inner product ofHandH, respectively, where

α= (a,a),β= (b,b)∈H,γ = (c,c,c),η= (d,d,d)∈H. Let= (a,a,a–a)

forα= (a,a)∈H and = (c+c,c–c) forγ = (c,c,c)∈H. Obviously,Bis an

adjoint operator ofA.

LetK be a closed convex subset of a real Hilbert spaceH. For each pointxH, there exists a unique nearest point inK, denoted byPKx, such thatxPKxxyyK. The mappingPKis called themetric projectionfromHontoK. It is well known thatPK has the following characteristics:

(i) xy,PKxPKyPKxPKyfor everyx,yH;

(ii) forxHandzK,z=PK(x)⇔ x–z,zy ≥,∀y∈K; (iii) forxHandyK,

yPK(x)+xPK(x)≤ x–y. (.)

Lemma .(see []) Let K be a nonempty closed convex subset of H and F be a bi-function of K×K intoRsatisfying the following conditions:

(A) F(x,x) = for allxK;

(A) Fis monotone,that is,F(x,y) +F(y,x)≤for allx,yK; (A) for eachx,y,zK,lim suptF(tz+ ( –t)x,y)F(x,y); (A) for eachxK,yF(x,y)is convex and lower semi-continuous.

Let r> and xH.Then there exists zK such that F(z,y) + ryz,zx ≥for all yK.

Lemma .(see []) Let K be a nonempty closed convex subset of H and let F be a bi-function of K×K intoRsatisfying(A)-(A).For r> ,define a mapping TF

r :HK as follows:

TrF(x) =

zK:F(z,y) +

ryz,zx ≥,∀yK

(4)

for all xH.Then the following hold:

(i) TF

r is single-valued andF(TrF) =EP(F)forr> andEP(F)is closed and convex;

(ii) TF

r is firmly non-expansive,that is,for anyx,yH, TF

rxTrFy≤ TrFxTrFy,xy.

Lemma .(see,e.g., []) Let H be a real Hilbert space.Then the following hold:

(a) x+y≤ y+ x,x+y;

(b) xy=x+y– x,yfor allx,yH;

(c) αx+ ( –α)y=αx+ ( –α)y–α( –α)x–yfor allx,yHand

α∈[, ].

Lemma . Let FF

r be the same as in Lemma..IfF(TrF) =EP(F)=∅,then for any xH and x*∈F(TrF),TrFxx≤ x–x*–TrFxx*.

Proof By (ii) of Lemma . and (b) of Lemma .,

TrFxx*≤TrFxx*,xx* = T

F rxx*

+xx*–TrFxx,

which shows thatTF

rxx≤ x–x*–TrFxx*.

Lemma .([, ]) Let the mapping TF

r be defined as in Lemma..Then,for r,s>  and x,yH,

TrF(x) –TsF(y)≤ xy+|s–r| s T

F s(y) –y.

In particular,TF

r(x) –TrF(y) ≤ xyfor any r> and x,yH,that is,TrFis nonexpan-sive for any r> .

Remark . In fact, Lemma . is motivated by a proof of [, Theorem .]. In order to the sake of convenience for proving, we restated the fact and gave its proof in Lemma . [, ].

Lemma .([]) Let{an}be a nonnegative real sequence satisfying the following condi-tion:

an+≤( –λn)an+λnbn, ∀nn,

where nis some nonnegative integer,{λn}is a sequence in(, )and{bn}is a sequence inR

such that

(i) ∞n=λn=∞;

(ii) lim supn→∞bn≤orn=λnbnis convergent.Thenlimn→∞an= .

Lemma .([]) Let{xn}and{yn}be bounded sequences in a Banach space E and let{βn}

(5)

3 Weak convergence iterative algorithms for (HSP)

In this section, we will introduce some weak convergence iterative algorithms for the hy-brid split problem.

Theorem . Let Hand Hbe two real Hilbert spaces.Let CHand KHbe two

nonempty closed convex sets.Let T:CC and S:KK be non-expansive mappings and f :C×C→Rand g:K×K→Rbe bi-functions satisfying the conditions(A)-(A). Let A:H→Hbe a bounded linear operator with its adjoint B.Let x∈C,{xn}and{un}

be sequences generated by

⎧ ⎪ ⎪ ⎪ ⎪ ⎪ ⎨ ⎪ ⎪ ⎪ ⎪ ⎪ ⎩

un=Trfnxn,

yn= ( –α)un+αTun,

wn=TrgnAyn,

xn+=PC(yn+ξB(SwnAyn)),n∈N,

(.)

whereα∈(, ),ξ∈(,B)and{rn} ⊂(, +∞)withlim infn→+∞rn> ,PCis a projection

operator from Hinto C.Suppose that={p∈F(T)∩EP(f) :ApF(S)∩EP(g)} =∅,

then xn,unqand wnAqF(S)∩EP(g).

Proof Letp, the following several inequalities can be proved easily:

yn–p ≤ unp ≤ xnp, wn–Ap ≤ AynAp. (.)

By Lemma .,TrgnAynAyn≤ Ayn–Ap–T

g

rnAynAp, hence

Swn–Ap=STrgnAynAp≤TrgnAynAp

≤ Ayn–Ap–TrgnAynAyn. (.)

By (b) of Lemma . and (.), for eachn∈N, we have

ξynp,B

STrgnIAyn

= ξA(ynp) +

STrgnIAyn

STrgnIAyn,

STrgnIAyn

= ξ

 ST

g

rnAynAp

+ ST

g rnI

Ayn

– 

AynAp

STg rnI

Ayn

≤ξ

–

T g

rnAynAyn

+ ST

g rnI

Ayn–STrgnIAyn

= –ξSTrgnIAyn

ξTrgnAynAyn

. (.)

On the other hand,B(STrgnI)Ayn≤ B(ST

g

rnI)Ayn, so from (.)-(.), we have

xn+–p =PC

yn+ξBSTrgnIAynp≤yn+ξBSTrgnIAynp

(6)

≤ yn–p+ξBSTrgnIAyn–ξSTrgnIAyn

ξTrgnIAyn

=yn–p–ξ –ξBSTrfnIAyn–ξTrgnIAyn

≤ xn–p–ξ –ξBSTrfnIAyn–ξTrgnIAyn. (.)

Sinceξ∈(,B),ξ( –ξB) > , by (.) and (.), we have

xn+–p ≤ ynp ≤ unp ≤ xnp (.)

and

ξ –ξBSTrgnIAyn+ξTrgnIAyn≤ xn–p–xn+–p. (.)

The inequality (.) implieslimn→∞xn–pexists. Further, from (.) and (.), we get

lim

n→∞xn–p=nlim→∞yn–p=nlim→∞un–p,

lim

n→∞ST

g rnI

Ayn= lim

n→∞T

g rnI

Ayn= lim

n→∞wn–Ayn= .

(.)

The inequality (.) also implies that

lim

n→∞Swn–wn= . (.)

Using Lemma . and (.), we have

un–xn=Trfnxnxn≤ xn–p–Trfnxnp

=xn–p–un–p→. (.)

Notice that

yn–p = ( –α)un–p+αTun–p–α( –α)Tun–un ≤ un–p–α( –α)Tun–un,

hence,

lim

n→∞Tun–un= . (.)

From (.) and (.), we also have

yn–xn ≤ ynun+un–xn

=αTun–un+un–xn → asn→ ∞. (.)

The existence oflimn→∞xn–pimplies that {xn}is bounded, hence {xn}has a weak convergence subsequence{xnj}. Assume thatxnjqfor someqC, thenynjq,Aynj

AqKandwnj=T

g

(7)

We sayq, in other words,qF(T)∩EP(f) andAqF(S)∩EP(g). By (.), we also obtainunjq. IfTq =q, then, by Opial’s condition and (.), we get

lim inf

j→∞ unjq <lim inf

j→∞ unjTq

≤lim inf

j→∞ unjTunj+TunjTq

≤lim inf

j→∞ unjq,

which is a contradiction. HenceTq=qorqF(T). On the other hand, from Lemma ., we knowEP(f) =F(Trf) for anyr> . Hence, ifTrfq =qforr> , then by Opial’s condition and (.) and Lemma ., we have

lim inf

j→∞ xnjq<lim inf

j→∞ xnjT

f rq

=lim inf

j→∞ xnjT

f rnjxnj+T

f rnjxnjT

f rq

≤lim inf

j→∞ xnjT

f

rnjxnj+T

f

rqTrfnjxnj

≤lim inf

j→∞

xnjT

f

rnjxnj+xnjq+

|r–rnj|

rnj

Trf

njxnjxnj

=lim inf

j→∞ xnjq,

which is also a contradiction. So, for eachr> ,Trfq=q, namelyqEP(f). Thus, we have provedqF(T)∩EP(f). Similarly, we can also proveAqF(S)∩EP(g). Hence,q.

Finally, we prove{xn}converges weakly toq. Otherwise, if there exists another sub-sequence of {xn}, which is denoted by{xnl}, such thatxnl x¯∈withx¯ =q, then by Opial’s condition,

lim inf

l→∞ xnlx¯ <lim infl→∞ xnlq=lim infj→∞ xnjq<lim inf

l→∞ xnlx.¯

This is a contradiction. Hence{xn}converges weakly to an elementq. Together with un–xn → (see (.)), we also getunq.

Finally, we prove{wn=TrgnAyn}converges weakly toAqF(S)∩EP(g). From (.), we

haveynq, soAynAq. Thus, from (.) we havewn=TrgnAynAqF(S)∩EP(g).

The proof is completed.

If T=I orS=I, whereI denotes an identity operator, then the following corollaries follow from Theorem ..

Corollary . Let Hand Hbe two real Hilbert spaces.Let CHand KHbe two

nonempty closed convex sets.Let S:KK be a non-expansive mapping and f :C×C→R and g:K×K→Rbe bi-functions satisfying the conditions(A)-(A).Let A:H→Hbe a

(8)

by

⎧ ⎪ ⎪ ⎨ ⎪ ⎪ ⎩

un=Trfnxn,

wn=TrgnAun,

xn+=PC(un+ξB(SwnAun)), ∀n∈N,

whereξ∈(,B)and{rn} ⊂(, +∞)withlim infn→+∞rn> ,PCis a projection operator

from Hinto C.Suppose that={p∈EP(f) :ApF(S)∩EP(g)} =∅,then xn,unq

and wnAqF(S)∩EP(g).

Corollary . Let Hand Hbe two real Hilbert spaces.Let CHand KHbe two

nonempty closed convex sets.Let T:CC be a non-expansive mapping and f :C×C→ Rand g:K×K→Rbe bi-functions satisfying the conditions(A)-(A).Let A:H→H

be a bounded linear operator with its adjoint B.Let x∈C,{xn} and{un} be sequences

generated by

⎧ ⎪ ⎪ ⎪ ⎪ ⎪ ⎨ ⎪ ⎪ ⎪ ⎪ ⎪ ⎩

un=Trfnxn,

yn= ( –α)un+αTun,

wn=TrgnAyn,

xn+=PC(yn+ξB(wnAyn)), ∀n∈N,

whereα∈(, ),ξ ∈(,B)and{rn} ⊂(, +∞)withlim infn→+∞rn> ,PC is a

projec-tion operator from Hinto C.Suppose that={pF(T)∩EP(f) :ApEP(g)} =∅,then

xn,unqand wnAqEP(g).

Corollary . Let CHand KHbe two nonempty closed convex sets.Let f :C×C

Rand g:K×K→Rbe bi-functions satisfying the conditions(A)-(A).Let A:H→H

be a bounded linear operator with its adjoint B.Let x∈C,{xn} and{un} be sequences

generated by

⎧ ⎪ ⎪ ⎨ ⎪ ⎪ ⎩

un=Trfnxn,

wn=TrgnAun,

xn+=PC(un+ξB(wnAun)), ∀n∈N,

whereξ∈(,B)and{rn} ⊂(, +∞)withlim infn→+∞rn> ,PCis a projection operator

from Hinto C.Suppose that={pEP(f) :ApEP(g)} =∅,then xn,unqand wnAqEP(g).

4 Strong convergence iterative algorithms for (HSP)

In this section, we introduce two strong convergence algorithms for (HSP); see Theo-rem . and TheoTheo-rem ..

Theorem . Let Hand Hbe two real Hilbert spaces.Let CHand KHbe two

(9)

and f :C×C→Rand g:K×K→Rbe bi-functions satisfying the conditions(A)-(A). Let A:H→Hbe a bounded linear operator with its adjoint B.Let x∈C:=C,{xn}and

{un}be sequences generated by

⎪ ⎪ ⎪ ⎪ ⎪ ⎪ ⎪ ⎪ ⎪ ⎪ ⎪ ⎨ ⎪ ⎪ ⎪ ⎪ ⎪ ⎪ ⎪ ⎪ ⎪ ⎪ ⎪ ⎩

un=Trfnxn,

yn= ( –α)un+αTun,

wn=TrgnAyn,

zn=PC(yn+ξB(SwnAyn)),

Cn+={v∈Cn:zn–v ≤ ynv ≤ xnv},

xn+=PCn+(x), n∈N,

(.)

whereα∈(, ),ξ∈(,B)and{rn} ⊂(, +∞)withlim infn→+∞rn> ,PCis a projection

operator from Hinto C.Suppose that={pF(T)∩EP(f) :ApF(S)∩EP(g)} =∅,

then xn,unqand wnAqF(S)∩EP(g).

Proof We claim thatCnis a nonempty closed convex set forn∈N. In fact, letp, it follows from (.) that

ξynp,B(SwnAyn) ≤–ξTrgnI

Axn

ξSwnAyn. (.)

By (.), (.) and (.), we obtain

zn–p≤yn+ξB(SwnAyn) –p

=yn–p+ξB(SwnAyn)+ ξynp,B(SwnAyn)

ynp+ξBSwnAyn–ξTrgnI

Ayn

ξSwnAyn

=yn–p–ξ –ξBSTrgnIAyn–ξTrgnIAyn

≤ un–p– ( –α)αun–Tun

ξ –ξBSTrgnIAyn

ξTrgnIAyn

≤ xn–p–ξ –ξBSTrgnIAyn

ξTrgnIAyn– ( –α)αun–Tun. (.)

Noticeξ∈(,B),ξ( –ξB) > . It follows from (.) that

znpynpunpxnp for alln∈N,

hencepCn, which yields thatCnandCn =∅forn∈N.

It is not hard to verify thatCnis closed forn∈N, so it suffices to verifyCnis convex for n∈N. Indeed, letw,w∈Cn+andγ∈[, ], we have

zn

γw+ ( –γ)w 

(10)

=γzn–w+ ( –γ)zn–w–γ( –γ)w–w

γynw+ ( –γ)ynw–γ( –γ)w–w

=ynγw+ ( –γ)w 

,

namelyzn– (γw+ ( –γ)w) ≤ yn– (γw+ ( –γ)w). Similarly,yn– (γw+ ( –

γ)w) ≤ xn– (γw+ ( –γ)w), which impliesγw+ ( –γ)w∈Cn+ andCn+ is a

convex set,n∈N.

Notice thatCn+⊂Cnandxn+=PCn+(x)⊂Cn, thenxn+–x ≤ xnxforn> .

It follows thatlimn→∞xn–xexists. Hence{xn}is bounded, which yields that{zn}and

{yn}are bounded. For somek,n∈Nwithk>n> , fromxk=PCk(x)⊂Cnand (.), we

have

xn–xk+x–xk=xnPCk(x) 

+x–PCk(x) 

xnx. (.)

Bylimn→∞xn–xexists and (.), we havelimn→∞xn–xk= , so{xn}is a Cauchy

sequence.

Letxnq, thenq. Firstly, byxn+=PCn+(x)∈Cn+⊂Cn, from (.) we have

znxn ≤ znxn++xn+–xn ≤xn+–xn →,

ynxn ≤ ynxn++xn+–xn ≤xn+–xn →.

(.)

Settingρ=ξ( –ξB), by (.) again, we have

ρSTrgnIAyn+ξTrgnIAyn+ ( –α)αun–Tun

xnp–znp≤ xnznxnp+znp→. (.)

So,

lim

n→∞Tun–un= , nlim→∞wn–Ayn=nlim→∞T g rnI

Ayn= ,

lim

n→∞Swn–Ayn=nlim→∞ST g rnI

Ayn= , lim

n→∞Swn–wn= .

(.)

Notice thatlimn→∞Tun–un=  andyn–un=αTun–un, so

lim

n→∞yn–un= . (.)

Further, from (.) and (.),

lim

n→∞xnun= . (.)

Sincexnq, we haveunqby (.). Thus

(11)

namelyTq=qandqF(T). On the other hand, forr> , by Lemma ., we have

Tf

rqqTrfqTrfnxn+T

f

rnxnxn+xnq

≤ xn–q+|rnr| rn T

f

rnxnxn+T

f

rnxnxn+xn–q →,

which yieldsqF(Trf) =EP(f). We have verifiedqF(T)∩EP(f).

Next, we proveAqF(S)∩EP(g). Sincexnqandxnyn→ by (.) and (.) and wnAyn→ by (.), we haveynqandAynAqandwnAq. So,

SAqAqSAqSwn+Swnwn+wnAq →,

namelySAq=AqandAqF(S). On the other hand, forr> , by Lemma . again, we have

TrgAqAqTrgAqTrgnAyn+TrgnAynAyn+AynAq

≤ Ayn–Aq+|rn–r| rn T

g

rnAynAyn

+TrgnAynAyn+AynAq →,

which implies thatAqF(Trg) =EP(g). We have verifiedAqF(S)∩EP(g).

So, we have obtainedqandxn,unqandwnAq, the proof is completed.

If T=I orS=I, whereI denotes an identity operator, then the following corollaries follow from Theorem ..

Corollary . Let Hand Hbe two real Hilbert spaces.Let CHand KHbe two

nonempty closed convex sets.Let f :C×C→Rand g:K×K→Rbe bi-functions satisfy-ing the conditions(A)-(A)and S:KK be a non-expansive mapping.Let A:H→H

be a bounded linear operator with its adjoint B.Let x∈C:=C,{xn}and{un}be sequences

generated by

⎧ ⎪ ⎪ ⎪ ⎪ ⎪ ⎪ ⎪ ⎪ ⎨ ⎪ ⎪ ⎪ ⎪ ⎪ ⎪ ⎪ ⎪ ⎩

un=Trfnxn,

wn=TrgnAun,

zn=PC(un+ξB(SwnAun)),

Cn+={v∈Cn:zn–v ≤ unv ≤ xnv},

xn+=PCn+(x), n∈N,

whereξ∈(, 

B)and{rn} ⊂(, +∞)withlim infn→+∞rn> ,PCis a projection operator from Hinto C.Suppose that={p∈EP(f) :ApF(S)∩EP(g)} =∅,then xn,unq

and wnAqF(S)∩EP(g).

Corollary . Let Hand Hbe two real Hilbert spaces.Let CHand KHbe two

(12)

be a bounded linear operator with its adjoint B.Let x∈C:=C,{xn}and{un}be sequences generated by ⎧ ⎪ ⎪ ⎪ ⎪ ⎪ ⎪ ⎪ ⎪ ⎪ ⎪ ⎪ ⎨ ⎪ ⎪ ⎪ ⎪ ⎪ ⎪ ⎪ ⎪ ⎪ ⎪ ⎪ ⎩

un=Trfnxn,

yn= ( –α)un+αTun,

wn=TrgnAyn,

zn=PC(yn+ξB(wnAyn)),

Cn+={vCn:znvynvxnv},

xn+=PCn+(x), n∈N,

where,α∈(, ),ξ ∈(,B)and{rn} ⊂(, +∞)withlim infn→+∞rn> ,PCis a

projec-tion operator from Hinto C.Suppose that={p∈F(T)∩EP(f) :ApEP(g)} =∅,then

xn,unqand wnAqEP(g).

Corollary . Let Hand Hbe two real Hilbert spaces.Let CHand KHbe two

nonempty closed convex sets.Let f :C×C→Rand g:K×K→Rbe bi-functions sat-isfying the conditions (A)-(A).Let A:H→Hbe a bounded linear operator with its

adjoint B.Let x∈C:=C,{xn}and{un}be sequences generated by

⎧ ⎪ ⎪ ⎪ ⎪ ⎪ ⎨ ⎪ ⎪ ⎪ ⎪ ⎪ ⎩

un=Trfnxn, wn=T

g rnAun,

zn=PC(yn+ξB(wnAun)),

Cn+={vCn:znvunvxnv},

xn+=PCn+(x), n∈N,

whereξ∈(,B)and{rn} ⊂(, +∞)withlim infn→+∞rn> ,PCis a projection operator from Hinto C.Suppose that={pEP(f) :ApEP(g)} =∅,then xn,unqand

wnAqEP(g).

It is well known that the viscosity iterative method is always applied to study the iterative solution for the fixed point problem of nonlinear operators, for example, [, , , , ]. Similarly, the viscosity iterative method can also be used to study the hybrid split prob-lem (HSP). So, at the end of this paper, we introduce a viscosity iterative algorithm which can converge strongly to a solution of (HSP).

Theorem . Let Hand Hbe two real Hilbert spaces.Let CHand KHbe two

nonempty closed convex sets.Let h:CC be aα-contraction mapping,T:CC and S:KK be non-expansive mappings and f :C×C→Rand g:K×K→Rbe bi-functions satisfying the conditions(A)-(A).Let A:H→Hbe a bounded linear operator

with its adjoint B.Let x∈C,{xn}and{un}be sequences generated by

⎧ ⎪ ⎪ ⎪ ⎪ ⎪ ⎪ ⎪ ⎪ ⎨ ⎪ ⎪ ⎪ ⎪ ⎪ ⎪ ⎪ ⎪ ⎩

un=Trfnxn,

wn=TrgnAun,

yn=PC(un+ξB(SwnAun)),

zn= ( –r)xn+rTyn,

xn+=αnh(xn) + ( –αn)zn, n∈N,

(13)

where r∈(, ),ξ∈(,B)and{rn} ⊂(, +∞),PCis a projection operator from Hinto C,

and the coefficients{αn}and{rn}satisfy the following conditions:

() {αn} ⊂(, ),limn→∞αn= ,

n=αn=∞;

() lim infn→+∞rn> ,limn→∞|rn+–rn|= .

Suppose that={pF(T)∩EP(f) :ApF(S)∩EP(g)} =∅,then xn,unqand wnAqF(S)∩EP(g),where q=Ph(q).

Proof Letp. The following inequalities are easily verified:

unpxnp, wnApAunAp. (.)

By Lemma .,

un–p≤ xn–p–Trgnxnxn=xn–p–un–xn;

SwnAp=STrgnAunAp≤TrgnAunAp (.) ≤ Aun–Ap–TrgnAunAun.

From (.) and (.), we have

ξunp,B(SwnAun)

= ξA(unp) +SwnAun– (SwnAun),SwnAun

= ξ

Swn–Ap

+

Swn–Aun

Aun–Ap

SwnAun

≤ξ

–

T g

rnAunAun

–

Swn–Aun

= –ξSwn–Aun–ξTrgnAunAun

= –ξSwn–Aun–ξwn–Aun (.)

and

ynp =PC(un+ξB(SwnAun) –PCp

unp+ξB(SwnAun)

=unp+ξB(SwnAun)

+ ξunp,B(SwnAun)

≤ un–p–ξ –ξBSwn–Aun–ξTrgnAunAun ≤ xn–p–ξ –ξBSwn–Aun–ξTrgnAunAun

=xnp–ξ –ξBSwnAun–ξwnAun. (.)

So, from (.)-(.) and (.), we have

(14)

We say{xn}is bounded. In fact, from (.) and (.), we have

xn+–p=αn

f(xn) –p+ ( –αn)(znp)≤( –αn)znp+αnf(xn) –p

≤( –αn)xnp+αnαxn–p+αnf(p) –p

= –αn( –α)xn–p+αn( –α)f(p) –p  –α ,

which implies that

xn–p ≤max

x–p,f

(p) –p  –α

, ∀n∈N, (.)

so{xn}is bounded. Further,{un},{wn}and{yn}are also bounded by (.). By Lemma ., from (.) we have

un+–un=Trfn+xn+–T

f rnxn

xn+–xn+|

rnrn+|

rn T f

rnxnxn

≤ xn+–xn+|rn

rn+|

rn M,

wn+–wn=Trgn+Aun+–T

g rnAun

Aun+–Aun+|rn

rn+|

rn T g

rnAunAun

Aun+–Aun+|rn

rn+|

rn M

(.)

and

yn+–yn≤un++ξB(Swn+–Aun+) –unξB(SwnAun)

=un+–un+ξB

Swn+–Aun+– (Swn–Aun)

=un+–un+ξB

Swn+–Aun+– (Swn–Aun)

+ ξun+–un,B

Swn+–Aun+– (Swn–Aun)

≤ un+–un+ξBSwn+–Aun+– (Swn–Aun)

+ ξA(un+–un),Swn+–Aun+– (Swn–Aun)

=un+–un+ξBSwn+–Aun+– (Swn–Aun)

+ ξA(un+–un) +Swn+–Aun+– (Swn–Aun),Swn+

Aun+– (Swn–Aun)

– ξSwn+–Aun+– (Swn–Aun),Swn+–Aun+– (Swn–Aun)

=un+–un+ξBSwn+–Aun+– (Swn–Aun)

+ ξSwn+–Swn,Swn+–Aun+– (Swn–Aun)

(15)

=un+–un+ξBSwn+–Aun+– (Swn–Aun)

+ ξ

Swn+–Swn+Swn+–Aun+– (Swn–Aun)

–Aun+–Aun

– ξSwn+–Aun+– (SwnAun)

=un+–un+ξBSwn+–Aun+– (SwnAun)

+ξSwn+–Swn–Aun+–Aun

ξSwn+–Aun+– (Swn–Aun)

≤ un+–un–ξ

 –ξBSwn+–Aun+– (Swn–Aun)

+ξwn+–wn–Aun+–Aun

un+–un–ξ

 –ξBSwn+–Aun+– (SwnAun)

+ξ

Aun+–Aun+|rn

rn+|

rn M–Aun+–Aun

=un+–un–ξ

 –ξBSwn+–Aun+– (Swn–Aun)

+ξ|rn–rn+|

rn M

≤ xn+–xn–ξ

 –ξBSwn+–Aun+– (Swn–Aun) 

+|rn–rn+|

rn (ξM+M), (.)

whereMis a constant satisfying

sup

n∈N

xn+–xnTrfnxnxn+

|rn–rn+|

rn T f

rnxnxn

,

Aun+–AunTrgnAunAun+

|rn–rn+|

rn T g

rnAunAun

M.

Provingxn+–xn → asn→ ∞. Settingβn=  – ( –αn)( –r) andvn=xn+–xβnn+βnxn,

namely vn = αnf(xn)+(–αn)rTyn

βn . Let M be a constant satisfying supn∈N{(xnn++),

f(xn) βn ,

Tyn} ≤Mfor alln∈N. Then

vn+–vn =

αn+f(xn+) + ( –αn+)rTyn+

βn+

αnf(xn) + ( –αn)rTyn

βn

αn+

f(xn+)

βn+

+αn

f(xn)

βn

+r( –αn+)Tyn+

βn+

–( –αn)Tyn

βn

≤(αn++αn)M+r

( –αn+)(Tyn+–Tyn)

βn+

+( –αn+)Tyn

βn+

–( –αn)Tyn

βn

≤(αn++αn)M+r

( –αn+)yn+–yn

βn+

+( –αn+)

βn+

–( –αn)

(16)

= (αn++αn)M+r

( –αn+)yn+–yn

βn+

+( –r)(αnαn+) +βn+αnβnαn+

βnβn+

M

≤(αn++αn)M+r

( –αn+)yn+–yn

βn+

+ αn+αn+

βnβn+

M

:=ρn+r

( –αn+)yn+–yn

βn+

. (.)

From (.) and (.), we have

vn+–vn≤

ρn+r

( –αn+)yn+–yn

βn+

=ρn+ ρnr( –αn+)yn+–yn

βn+

+r( –αn+)

yn

+–yn

βn+ ,

ρn+ ρnr

( –αn+)yn+–yn

βn+

+r( –αn+)

βn+ xn+–xn

+r( –αn+)

βn+

|rn–rn+|

rn ( +ξ)M. (.)

By the conditions () and () and (.), we obtain

lim sup

n→∞

vn+–vn–xn+–xn

≤. (.)

Noticevn+–vn–xn+–xn= (vn+–vn–xn+–xn)(vn+–vn+xn+–xn),

hence from (.) we have

lim sup

n→∞

vn+–vnxn+–xn

≤. (.)

By Lemma . and (.), we havelimn→∞vn–xn= , which implies that

lim

n→∞xn+–xn=  (.)

by the definition ofvn. Sincexn+–zn →, together with (.), we have

lim

n→∞xn–zn= . (.)

Using (.), (.) and (.),

xn+–p =αn

f(xn) –p+ ( –αn)(znp)

≤( –αn)znp+αnf(xn) –p

≤( –r)xnp+runp+αnf(xn) –p

≤ xn–p–runxn+αnf(xn) –p

(17)

which yields

runxn≤ xn–p–xn+–p+αnf(xn) –p

=xn–p+xn+–p

xn–p–xn+–p

+αnf(xn) –p

xnp+xn+–p

xnxn++αnf(xn) –p

. (.)

From (.) we have

lim

n→∞T

f

rnxnxn=nlim→∞un–xn= . (.)

Again, applying (.), (.) and (.), we have

xn+–p≤( –αn)znp+αnf(xn) –p

≤( –r)xnp+rynp+αnf(xn) –p

≤ xn–p– –ξBSwn–Aun

wn–Aun+αnf(xn) –p, (.)

which implies that

 –ξBSwnAun+rξwnAun

≤xn–p+xn+–p

xn–xn++αnf(xn) –p

. (.)

From (.) we have

lim

n→∞T g

rnAunAun=nlim→∞wn–Aun= , nlim→∞Swn–Aun=  (.)

and

lim

n→∞Swnwn= . (.)

Noticeyn=PC(un+ξB(SwnAun)) andunCfor alln∈N, so

yn–un=PCun+ξB(SwnAun)PCunξB(SwnAun)ξBSwn–Aun,

so

lim

n→∞ynun= . (.)

Further, from (.), (.) and (.), we have

lim

(18)

and

lim

n→∞yn–Tyn=  by (.), (.) and (.). (.)

Letq=Pf(q). Choose a subsequence{xnk}such that

lim sup

n→∞

f(q) –q,xnq = lim

k→∞

f(q) –q,xnkq. (.)

Since{xn}is bounded,{f(q) –q,xnq}is bounded. Hencelim supn→∞f(q) –q,xnq is a constant, namelylimn→∞f(q) –q,xnkqexists, which implies (.) is well defined.

Because{xn}is bounded,{xnk}has a weak convergence subsequence which is still denoted

by{xnk}. Supposexnkx

*, we sayx*. Whenx

nkx

*, from (.), (.) and (.),

we have

unkx*, ynkx*, znkx*, AunkAx*, wnkAx*. (.)

IfTx* =x*, then by (.) and (.) and Opial’s condition, we have

lim inf

k→∞

ynkx*<lim inf

k→∞

ynkTx*

≤lim inf

k→∞

ynkTynk+TynkTx *

≤lim inf

k→∞

ynkTynk+ynkx

*=lim inf

k→∞ynkx

*, (.)

which is a contradiction, soTx*=x*andx*F(T). Since for eachr> ,EP(f) =F(Tf

r) by Lemma ., we havex*∈F(Trf). Otherwise, if there existsr>  such thatTrfx* =x*, then by (.) and Lemma . and Opial’s condition, we have

lim inf

k→∞xnkx

*<lim inf

k→∞ xnkT

f rx*

≤lim inf

k→∞ xnkT

f

nkxnk+T

f nkxnkT

f rx*

=lim inf

k→∞ T

f nkxnkT

f rx*

≤lim inf

k→∞

xnkx*+|rnkr|

rnk

Tnfkxnkxnk

=lim inf

k→∞

xnkx*, (.)

which is also a contradiction, soTrfx*=x*andx*∈F(Trf) =EP(f). Up to now, we have provedx*F(T)EP(f). Similarly, we can also proveAx*F(S)EP(g). Hencex*,

because of this, we can also obtain

lim sup

n→∞

f(q) –q,xnq = lim

k→∞

f(q) –q,xnkq

(19)

Finally, we prove the conclusion of this theorem is right. Forq=Pf(q), from (.) we

have

xn+–q=αn

h(xn) –q+ ( –αn)(znq)

≤( –αn)znq+ αn

h(xn) –q,xn+–q

≤( –αn)xn–q+ αn

h(xn) –h(q) +h(q) –q,xn+–q

≤( –αn)xn–q+ αnαxn–qxn+–q+ αn

h(q) –q,xn+–q

≤( –αn)xn–q+αnαxn–q+αnαxn+–q

+ αn

h(q) –q,xn+–q

= ( – αn)xnq+αnxn–q+αnαxn–q+αnαxn+–q

+ αn

h(q) –q,xn+–q. (.)

From (.) we have

xn+–q≤

 –αn

 – α

 –αnα

xn–q+ α

n  –αnαxn

q

+  αn  –αnα

h(q) –q,xn+–q, (.)

by (.) and Lemma ., we havexnq. Again, from (.) and (.), we have unqandwnAqF(S)EP(f), respectively. The proof is completed.

Remark

() In this paper, the iterative coefficientαorrcan be replaced with the sequence{ζn}if

{ζn}satisfies{ζn} ⊂[,ϑ], where,ϑ∈(, );

() Obviously, ifH=Hin this paper, these weak and strong convergence theorems are

also true;

() In this paper, ifT is a nonexpansive mapping fromHintoHandf(x,y)is a

bi-function fromH×HintoRwith the conditions (A)-(A),Sis a nonexpansive

mapping fromHintoHandg(u,v)is a bi-function fromH×HintoRwith the

conditions (A)-(A), then we may obtain a series of similar algorithms.

Competing interests

The authors declare that they have no competing interests.

Authors’ contributions

Both authors contributed equally and significantly in writing this paper. Both authors read and approved the final manuscript.

Author details

1Department of Mathematics, Honghe University, Yunnan, 661100, China.2Department of Mathematics, National

Kaohsiung Normal University, Kaohsiung, 824, Taiwan.

Acknowledgements

The first author was supported by the Natural Science Foundation of Yunnan Province (2010ZC152). The second author was supported partially by grant No. NSC 101-2115-M-017-001 of the National Science Council of the Republic of China.

(20)

References

1. Blum, E, Oettli, W: From optimization and variational inequalities to equilibrium problems. Math. Stud.63, 123-145 (1994)

2. Moudafi, A, Théra, M: Proximal and dynamical approaches to equilibrium problems. In: Ill-Posed Variational Problems and Regularization Techniques (Trier, 1998). Lecture Notes in Economics and Mathematical Systems, vol. 477, pp. 187-201. Springer, Berlin (1999)

3. Flam, SD, Antipin, AS: Equilibrium programming using proximal-link algorithms. Math. Program.78, 29-41 (1997) 4. Tada, A, Takahashi, W: Weak and strong convergence theorems for a nonexpansive mapping and an equilibrium

problem. J. Optim. Theory Appl.133, 359-370 (2007)

5. Takahashi, S, Takahashi, W: Viscosity approximation methods for equilibrium problems and fixed point problems in Hilbert spaces. J. Math. Anal. Appl.331, 506-515 (2007)

6. Chang, SS, Joseph Lee, HW, Chan, CK: A new method for solving equilibrium problem fixed point problem and variational inequality problem with application to optimization. Nonlinear Anal.70, 3307-3319 (2009)

7. Jung, JS: Strong convergence of composite iterative methods for equilibrium problems and fixed point problems. Appl. Math. Comput.213, 498-505 (2009)

8. He, Z, Du, W-S: Strong convergence theorems for equilibrium problems and fixed point problems: a new iterative method, some comments and applications. Fixed Point Theory Appl.2011, Article ID 33 (2011)

9. He, Z: A new iterative scheme for equilibrium problems and fixed point problems of strict pseudo-contractive mappings and its application. Math. Commun.17, 411-422 (2012)

10. He, Z: The split equilibrium problems and its convergence algorithms. J. Inequal. Appl.2012, Article ID 162 (2012) 11. He, Z, Du, W-S: Nonlinear algorithms approach to split common solution problems. Fixed Point Theory Appl.2012,

Article ID 130 (2012)

12. Combettes, PL, Hirstoaga, A: Equilibrium programming in Hilbert spaces. J. Nonlinear Convex Anal.6, 117-136 (2005) 13. Xu, HK: An iterative approach to quadratic optimization. J. Optim. Theory Appl.116, 659-678 (2003)

14. Suzuki, T: Strong convergence theorems for infinite families of nonexpansive mappings in general Banach spaces. Fixed Point Theory Appl.2005(1), 103-123 (2005)

15. Moudafi, A: Viscosity approximation methods for fixed-points problems. J. Math. Anal. Appl.241, 46-55 (2000) 16. Xu, H-K: Viscosity approximation methods for nonexpansive mappings. J. Math. Anal. Appl.298, 279-291 (2004)

doi:10.1186/1687-1812-2013-47

References

Related documents

In this study, 10-year risk of developing CVD among the type-2 diabetes mellitus patients without the history of CVD and the probable risk factors were evaluated on the basis

Herein, we report isolation of continentalic acid (CA) from Aralia cachemirica and evaluation of its effect on immunomodulaion by observing its effect on antibody titres,

metuliferus fruit extract showed some levels of toxicity on the liver and kidney tissues of albino rats after 28 days of continuous daily oral administration.. metuliferus

Together, this study shows that Airn expression is both necessary and sufficient to silence Igf2r throughout ESC differentiation and that the somatic methylation imprint, although

Because cop1-4 expresses a truncated COP1 protein that has been shown to retain residual function (McNellis et al., 1994), the much higher abundance of PIF1 and PIF5 in the cop1-4

differentiated EC (large nuclei) and EE (arrowhead) cells as well as Dl- positive ISCs (arrow), GFP-labeled br - (C,C ⬘ ) and usp - (D,D ⬘ ) mutant AMPs developed into

Here we focus on three questions related to intergenerational care between young and old in Uganda: (1) What do multigenerational and reciprocal support structures look like, (2)

Microfluorimetry experiments evaluating intracellular calcium release in response to α -latrotoxin binding showed significantly reduced cytosolic calcium release in the f œ