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R E S E A R C H

Open Access

The methods for variational inequality

problems and fixed point of

κ

-strictly

pseudononspreading mapping

Atid Kangtunyakarn

*

*Correspondence:

[email protected] Department of Mathematics, Faculty of Science, King Mongkut’s Institute of Technology Ladkrabang, Bangkok 10520, Thailand

Abstract

In this paper, we introduce the methods for finding a common element of the set of fixed points of a

κ

-strictly pseudononspreading mapping and a finite family of the set of solutions of variational inequality problems. The strong convergence theorem of the proposed method is established under some suitable control conditions. Moreover, by using our main result, we prove interesting theorem involving an iterative scheme for finding a common element of the set of fixed points of a

κ

-strictly pseudononspreading mapping and a finite family of the set of fixed points of a

κ

i-strictly pseudocontractive mappings.

Keywords: variational inequality problems;

κ

-strictly pseudononspreading mapping; strictly pseudocontractive mapping

1 Introduction

LetCbe a nonempty closed convex subset of a real Hilbert spaceH. Recall that the map-pingT:CCis said to benonexpansiveifTxTyxyfor allx,yC. In , Kohsaka and Takahashi [] introduced thenonspreading mapping in Hilbert spacesH

which is defined as follows: TxTyTxy+xTy,x,yC. Following the

terminology of Browder and Petryshyn [], in , Osilike and Isiogugu [] introduced that the mappingT:CCis called aκ-strictly pseudononspreading mapping if there existsκ∈[, ) such that

TxTy≤ xy+κ(IT)x– (IT)y+ xTx,yTy

for allx,yC. Clearly every nonspreading mapping isκ-strictly pseudononspreading; see, for example, []. A pointxCis called afixed pointofTifTx=x. The set of fixed points ofTis denoted byF(T) ={xC:Tx=x}.

LetA:CH. Thevariational inequality problemis to find a pointuCsuch that

Au,vu ≥ (.)

for allvC. The set of solutions of (.) is denoted byVI(C,A).

The variational inequality has emerged as a fascinating and interesting branch of math-ematical and engineering sciences with a wide range of applications in industry, finance, economics, social, ecology, regional, pure and applied sciences; see,e.g., [–].

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A mappingAofCintoHis calledα-inverse strongly monotone(see []) if there exists a positive real numberαsuch that

xy,AxAyαAxAy

for allx,yC.

In , Takahashi and Toyoda [] proved a convergence theorem for finding a common element of the set of fixed points of nonexpansive mappings and the set of solutions of variational inequalities forα-inverse strongly monotone mappings as follows.

Theorem . Let K be a closed convex subset of a real Hilbert space H.Letα> .Let A be anα-inverse strongly monotone mapping of K into H,and let S be a nonexpansive mapping of K into itself such that F(S)∩VI(K,A)= ∅.Let{xn}be a sequence generated by x∈K

and

xn+=αnxn+ ( –αn)SPC(IλnA)xn

for every n = , , , . . . , where {λn} ⊂ [a,b] for some a,b ∈ (, α) and {αn} ⊂ [c,d]

for some c,d∈ (, ). Then {xn} converges weakly to z =F(S)∩VI(K,A), where z=

limn→∞PF(S)∩VI(K,A)xn.

Recently, Osilike and Isiogugu [] proved strong convergence theorems for strictly pseudononspreading mappings as follows.

Theorem . Let C be a nonempty closed convex subset of a real Hilbert space and let T :CC be aκ-strictly pseudononspreading mapping with a nonempty fixed point set F(T).Letβ∈[k, )and let{αn}∞n=be a real sequence in[, )such thatlimn→∞αn= and

n=αn=∞.Let uC and let{xn}∞n=and{zn}∞n= be sequences in C generated from an

arbitrary x∈C by

⎧ ⎨ ⎩

xn+=αnu+ ( –αn)zn, ∀n≥,

zn=nn–

k=Tβkxn, ∀n≥,

where Tβ=βI+ ( –β)T.Then{xn}∞n=and{zn}∞n=converge strongly to PF(T)u,where PF(T):

HF(T)is the metric projection of H onto F(T).

Theorem . Let C be a nonempty closed convex subset of a real Hilbert space and let T:

CC be aκ-strictly pseudononspreading mapping with a nonempty fixed point set F(T).

Letβ∈[k, )and let Tβ=βI+ ( –β)T.Let{αn}∞n=be a real sequence in[, )satisfying

the conditions

(C) limn→∞αn= and (C) ∞n=αn=∞.

Let uC be a fixed anchor in C and let{xn}∞n= be a sequence in C generated from an

arbitrary x∈C by

xn+=αnu+ ( –αn)Tβxn, n≥. (.)

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Inspired and motivated by [] and the research in the same direction, we prove a strong convergence theorem ofκ-strictly pseudononspreading mappings and introduce the methods for finding a common element of the set of fixed points of a κ-strictly pseudononspreading mapping and a finite family of the set of solutions of variational in-equality problems. Moreover, by using our main result, we prove an interesting theorem involving an iterative scheme for finding a common element of the set of fixed points of

κ-strictly pseudononspreading mappings and a finite family of the set of fixed points of

κi-strictly pseudocontractive mappings.

2 Preliminaries

We need the following lemmas to prove our main result. LetH be a real Hilbert space and letCbe a nonempty closed convex subset ofH, letPCbe the metric projection ofH

ontoC,i.e., forxH,PCxsatisfies the property

xPCx=min yCxy.

The following characterizes the projectionPC.

Lemma .(See []) Given xH and yC.Then PCx=y if and only if the following

inequality holds:

xy,yz ≥, ∀zC.

Lemma .(See []) Let H be a Hilbert space,let C be a nonempty closed convex subset of H and let A be a mapping of C into H.Let uC.Then,forλ> ,

u=PC(IλA)uuVI(C,A),

where PCis the metric projection of H onto C.

Lemma .(See []) Let{sn}be a sequence of nonnegative real numbers satisfying

sn+= ( –αn)sn+δn, ∀n≥,

where{αn}is a sequence in(, )and{δn}is a sequence such that () ∞n=αn=∞,

() lim supn→∞αδn n ≤or

n=|δn|<∞.

Thenlimn→∞sn= .

Lemma .(See []) Let{sn}be a sequence of nonnegative real numbers satisfying

sn+= ( –αn)sn+αnβn, ∀n≥,

where{αn},{βn}satisfy the conditions () {αn} ⊂[, ],

n=αn=∞, () lim supn→∞βn≤or

n=|αnβn|<∞.

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Lemma .(See []) Let E be a uniformly convex Banach space,let C be a nonempty closed convex subset of E and let S:CC be a nonexpansive mapping. Then IS is demi-closed at zero.

In , Kangtunykarn and Suantai [] defined anS-mapping and proved their lemmas as follows.

Definition . LetCbe a nonempty convex subset of a real Banach space. Let{Ti}Ni=be

a finite family of nonexpanxive mappings ofCinto itself. For eachj= , , . . . ,N, letαj=

(αj,αj,αj)∈I×I×I, whereI∈[, ] andαj+αj+αj= . Define the mappingS:CC

as follows:

U=I,

U=αTU+αU+αI,

U=αTU+αU+αI,

U=αTU+αU+αI,

.. .

UN–=αN–TN–UN–+αN–UN–+αN–I,

S=UN =αNTNUN–+αNUN–+αNI.

(.)

This mapping is called anS-mappinggenerated byT,T, . . . ,TNandα,α, . . . ,αN.

Lemma . Let C be a nonempty closed convex subset of strictly convex Banach space.Let {Ti}Ni=be a finite family of nonexpanxive mappings of C into itself with

N

i=F(Ti)=∅and

letαj= (αj,α j ,α

j

)∈I×I×I,j= , , , . . . ,N,where I= [, ],α j +α

j +α

j = ,α

j ∈(, )

for all j= , , . . . ,N– ,αN∈(, ],αj,αj ∈[, )for all j= , , . . . ,N.Let S be a mapping generated by T,T, . . . ,TN andα,α, . . . ,αN.Then F(S) =Ni=F(Ti).

Remark . It is easy to see that the mappingSis a nonexpansive mapping.

Lemma . Let C be a nonempty closed convex subset of H.Let T:CC be aκ-strictly pseudononspreading mapping with F(T)=∅.Then F(T) =VI(C, (IT)).

Proof It is easy to see thatF(T)⊆VI(C, (IT)). PutA=IT. LetzVI(C,A) andz∗∈ F(T). SincezVI(C,A), we have

yz, (IT)z ≥, ∀yC. (.)

SinceTis aκ-strictly pseudononspreading mapping, we have

TzTz∗ =(IA)z– (IA)z∗

=zz∗–AzAz∗

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=zz∗+Az– zz∗,Az

zz∗+κ(IT)z– (IT)z∗+ zTz,z∗–Tz

=zz∗+κ(IT)z,

which implies that  –κ

zTz

zz, (IT)z

= –z∗–z, (IT)z ≤.

Then we havezF(T). ThereforeVI(C, (IT))⊆F(T). HenceVI(C, (IT)) =F(T).

Remark . From Lemmas . and ., we haveF(T) =F(PC(Iλ(IT))),∀λ> .

Example . LetT: [–, ]→[–, ] be defined by

Tx=

⎧ ⎨ ⎩

x+

 ifx∈[, ], –x

 ifx∈[–, ).

To see thatTisκ-strictly pseudononspreading, if for allx,y∈[, ], then we haveTx=x+ 

andTy=y+ . From the definition ofT, we have

|TxTy|=x+   –

y+  

=  |xy|

,

(IT)x– (IT)y=xTx– (yTy)

=xx+   –

yy+  

=x–   –

y–  

=x– y

= |xy|

and

xTx,yTy= 

xx+   ,y

y+  

= 

x–   ,

y–  

=

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From the above, then there existsκ∈[, ) such that

|xy|+κ(IT)x– (IT)y+ xTx,yTy ≥ |xy| ≥ 

|xy|

=|TxTy|.

For everyx,y∈[–, ), we haveTx=–x,Ty=–y. From the definition ofT, we have

|TxTy|= –x  –

 –y

=yx

=  |xy|

,

(IT)x– (IT)y=xTx– (yTy)

=x– –x  –

y– –y

=x–  – (y– ) 

= |xy|

and

xTx,yTy= 

x– –x  ,y

 –y

= 

x–   ,

y–  

= 

(x– )(y– ) = 



x(y– ) – (y– ) = 

(xy– x– y+ )

> . (Since –≤x,y< , xy, –x, –y> .)

From the above, then there existsκ∈[, ) such that

|xy|+κ(IT)x– (IT)y+ xTx,yTy >|xy| ≥ 

|xy|

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Finally, for everyx∈[, ] andy∈[–, ), we haveTx=x+ andTy=–y. From the defini-tion ofT, we have

|TxTy|=x+   –

 –y

=  |x+y|

,

(IT)x– (IT)y=xTx– (yTy)

=xx+   –

y– –y

=x–  – (y– ) 

= 

|x– y|

and

xTx,yTy= 

xx+   ,y

 –y

= 

x–   ,

y–  

= 

(x– )(y– ) = 



y(x– ) – (x– ) = 



y(x– ) + ( –x)≥.

(Since ≤x≤ and –≤y< , then y(x– ), ( –x)≥.) From the above, then there existsκ∈[, ) such that

|xy|+κ(IT)x– (IT)y+ xTx,yTy ≥ |xy|

=x– xy+y

=x+ xy+y– xy

≥(x+y) (Since –xy≥.)

≥ 

|x+y|

=|TxTy|. Then, for allx,y∈[–, ], we have

|TxTy|≤ |xy|+κ(IT)x– (IT)y+ xTx,yTy

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3 Main results

Theorem . Let H be a real Hilbert space and let C be a nonempty closed convex subset of H.For every i= , , . . . ,N,let Bi:CH beδi-inverse strongly monotone mappings

and let T :CC be aκ-strictly pseudononspreading mapping for someκ ∈[, ).Let Gi:CC be defined by Gix=PC(IηBi)x for every xC andη∈(, δi)for every i=

, , . . . ,N,and letδj= (αj,αj,αj)∈I×I×I,j= , , , . . . ,N,where I= [, ],αj+αj+αj= ,αj ∈(, )for all j= , , . . . ,N– , αN ∈(, ],αj,αj∈[, )for all j= , , . . . ,N.Let S:CC be the S-mapping generated by G,G, . . . ,GN andδ,δ, . . . ,δN.Assume that

F=F(T)∩Ni=VI(C,Bi)=∅.For every n∈N,i= , , . . . ,N,let x,uC and{xn}be a

sequence generated by

xn+=αnu+βnPC

Iλn(IT)

xn+γnSxn, ∀n∈N, (.)

where{αn},{βn},{γn},{λn} ⊂(, )such that αn+βn+γn= , βn∈[c,d]⊂(, ),{λn} ⊂

(,  –κ)and suppose the following conditions hold:

(i) limn→∞αn= and

n=αn=∞, (ii) ∞n=λn<∞,

(iii) ∞n=|λn+–λn|, ∞

n=|γn+–γn|, ∞

n=|αn+–αn|, ∞

n=|βn+–βn|<∞.

Then the sequence{xn}converges strongly to z=PFu.

Proof Letx∗∈F. First, we show thatPC(IλnA)xnx∗ ≤ xnx∗, whereA=IT.

From Remark ., we havex∗∈F(PC(IλnA)). From the nonexpansiveness ofPC, we have PC(IλnA)xnx∗=PC(IλnA)xnPC(IλnA)x∗

≤(IλnA)xn– (IλnA)x∗. (.)

SinceTis aκ-strictly pseudononspreading mapping andA=IT, we have

TxnTx∗ 

=(IA)xn– (IA)x∗ 

=xnx

AxnAx∗ 

=xnx∗– 

xnx∗,Axn +Axn

xnx∗+κAxnAx∗+ 

Axn,Ax

=xnx∗ 

+κAxn,

which implies that

( –κ)Axn≤

xnx∗,Axn. (.)

From (.), we have

(IλnA)xn– (IλnA)x∗ 

=xnx

λn

AxnAx∗ 

=xnx∗ 

– λn

xnx∗,Axn +λnAxn

xnx∗ 

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=xnx∗ 

λn

( –κ) –λn

Axn

xnx∗. (.)

From (.) and (.), we can imply that

PC(IλnA)xnx∗≤xnx∗. (.)

Next, we will show that the mappingGiis a nonexpansive mapping for everyi= , , . . . ,N.

Let x,yH. Since Bi is δi-inverse strongly monotone and  <η< δi, for every i=

, , . . . ,N, we have

(IηBi)x– (IηBi)y

=xyη(BixBiy) 

=xy– ηxy,BixBiy+ηBixBiy

xy– δiηBixBiy+ηBixBiy

=xy+η(η– δi)BixBiy

xy. (.)

Thus (IηBi) is a nonexpansive mapping for everyi= , , . . . ,N. The proof of the above

result can be also found in Imnang and Suantai []. From the definition ofGi, we haveGi=

PC(IηBi) are nonexpansive mappings for alli= , , . . . ,N. Sincex∗∈F, by Lemma .,

we have

x∗=Gix∗=PC(IηBi)x∗, ∀i= , , . . . ,N. (.)

From Lemma ., we havex∗∈F(S). Next, we will show that{xn}is bounded. From the

definition ofxnand (.), we have xn+–x∗=αn

ux∗+βn

PC

Iλn(IT)

xnx

+γn

Sxnx

αnux∗+βnPC

Iλn(IT)

xnx∗+γnSxnx

αnux∗+ ( –αn)xnx∗. (.)

PutK=max{ux∗,x–x∗}. From (.) we can show by induction thatxnx∗ ≤K,

n∈N. This implies that{xn}is bounded and so are{Sxn},{PC(Iλn(IT))xn}. Next, we

will show that

Txnx∗≤

 +κ

 –κxnx

. (.)

SinceTisκ-strictly pseudononspreading, we have

Txnx∗ 

xnx∗ 

+κ(IT)xn– (IT)x∗ 

+ xnTxn,x∗–Tx

=xnx∗ 

+κxnx

Txnx∗ 

=xnx∗ 

+κxnx∗ 

+Txnx∗ 

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which implies that

( –κ)Txnx∗ 

≤( +κ)xnx∗ 

+ κxnxTxnx∗. (.)

PuttingA=Txnx∗andB=xnx∗in (.), we have

≥( –κ)A– ( +κ)B– κAB

= ( –κ)A–κAB–( +κ)B+κAB

= ( –κ)A–κAB+AB–( +κ)B+κAB+AB

= ( –κ)A+AB–( +κ)B+AB

= ( –κ)A(A+B) –( +κ)B(B+A),

which implies that

A≤ +κ

 –κB. (.)

From (.) we have (.). Sincexnx∗ ≤K,∀n∈Nand (.), we have{Txn}is bounded.

Next, we will show that

lim

n→∞xn+–xn= . (.)

From the definition ofxn, we have

xn+–xnαnu+βnPC

Iλn(IT)

xn+γnSxn

αn–uβn–PC

Iλn–(IT)

xn––γn–Sxn–

=αnu+βnPC

Iλn(IT)

xnβnPC

Iλn–(IT)

xn–

+βnPC

Iλn–(IT)

xn–+γnSxnγnSxn–+γnSxn–

αn–uβn–PC

Iλn–(IT)

xn––γn–Sxn–

≤ |αnαn–|u+βnPC

Iλn(IT)

xnPC

Iλn–(IT)

xn–

+|βnβn–|PC

Iλn–(IT)

xn–+γnSxnSxn–

+|γnγn–|Sxn–

≤ |αnαn–|u+βn(xnxn–) –λn(IT)xn+λn(IT)xn–

λn(IT)xn–+λn–(IT)xn–

+|βnβn–|PC

Iλn–(IT)

xn–

+γnxnxn–+|γnγn–|Sxn–

≤ |αnαn–|u+βn

xnxn–+λn(IT)xn– (IT)xn–

+|λnλn–|(IT)xn–+|βnβn–|PC

Iλn–(IT)

xn–

(11)

≤ |αnαn–|L+ ( –αn)xnxn–+λnL

+|λnλn–|L+|βnβn–|L+|γnγn–|L, (.)

whereL=maxnN{u,(IT)xn– (IT)xn–,(IT)xn,PC(Iλn(IT))xn,Sxn}.

From Lemma . and conditions (i)-(iii), we have (.). Next, we will show that

lim

n→∞xnPC

Iλn(IT)

xn= . (.)

From the definition ofxnand (.), we have xn+–x

=αn

ux∗+βn

PC

Iλn(IT)

xnx

+γn

Sxnx∗ 

αnux∗ 

+βnPC

Iλn(IT)

xnx∗ 

+γnSxnx∗ 

βnγnPC

Iλn(IT)

xnSxn

αnux∗+ ( –αn)xnx∗

βnγnPC

Iλn(IT)

xnSxn

αnux∗+xnx∗

βnγnPC

Iλn(IT)

xnSxn

, which implies that

βnγnPC

Iλn(IT)xnSxn≤αnux∗+xnx∗–xn+–x∗

αnux∗+xnx

+xn+–xxn+–xn. (.)

From (.) and (.), we have

lim

n→∞PC

Iλn(IT)xnSxn= . (.)

Since

xn+–PC

Iλn(IT)

xn=αn

uPC

Iλn(IT)

xn

+γn

SxnPC

Iλn(IT)

xn

, from condition (i) and (.), we have

lim

n→∞xn+–PC

Iλn(IT)

xn= . (.)

Since

xnPC

Iλn(IT)

xnxnxn++xn+–PC

Iλn(IT)

xn,

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

xn+–xn=αn(uxn) +βn

PC

Iλn(IT)

xnxn

(12)

from condition (i) (.) and (.), we have

lim

n→∞Sxnxn= . (.)

Next, we will show that

lim sup

n→∞

uz,xnz ≤, (.)

wherez=PFu. To show this equality, take a subsequence{xnm}of{xn}such that lim sup

n→∞

uz,xnz= lim

m→∞uz,xnmz. (.)

Without loss of generality, we may assume thatxnm ωasm→ ∞whereωC. We

shall show thatωF(T). From Remark ., we haveF(T) =F(PC(Iλnm(IT))). Assume

thatω=PC(Iλnm(IT))ω. Sincexnm ωasm→ ∞, by Opial’s property, (.) and

condition (ii), we have

lim inf

m→∞xnmω <lim inf

m→∞xnmPC

Iλnm(IT)

ω

≤lim inf

m→∞xnmPC

Iλnm(IT)

xnm

+PC

Iλnm(IT)

xnmPC

Iλnm(IT)

ω

≤lim inf

m→∞xnmPC

Iλnm(IT)

xnm

+xnmω+λnm(IT)xnm– (IT)ω ≤lim inf

m→∞ xnmω.

This is a contradiction. ThenωF(T). From (.), we have

lim

m→∞Sxnmxnm= .

From the nonexpansiveness ofS,xnm ωasm→ ∞and Lemma ., we can imply that

ωF(S). (.)

SincePC(IηBi)x=Gixfor everyxCandi= , , . . . ,N, by Lemma ., we have

VI(C,Bi) =F

PC(IηBi)

=F(Gi), ∀i= , , . . . ,N.

By Lemma ., we have

F(S) =

N

i=

F(Gi) = N

i=

VI(C,Bi). (.)

From (.) and (.), we haveωNi=VI(C,Bi). Henceω∈F. Sincexnm ωasm→ ∞

andω∈F, we have

lim sup

n→∞

uz,xnz= lim

(13)

Finally, we show that{xn}converges strongly toz=PFu. From the definition ofxnand

(.), we have

xn+–z =αn(uz) +βn

PC

Iλn(IT)

xnz

+γn(Sxnz) 

βn

PC

Iλn(IT)

xnz

+γn(Sxnz) 

+ αn(uz),xn+–z

βnPC

Iλn(IT)

xnz+γnSxnz

+ αnuz,xn+–z

≤( –αn)xnz+ αnuz,xn+–z.

From (.) and Lemma ., we have{xn}converges strongly toz=PFu. This completes

the proof.

The following result can be obtained from Theorem .. We, therefore, omit the proof.

Corollary . Let C be a nonempty closed convex subset of a real Hilbert space H.Let B:CH be aδ-inverse strongly monotone mapping and let T:CC be aκ-strictly pseudononspreading mapping for someκ∈[, ).Assume thatF=F(T)∩VI(C,B)=∅.For every n∈N,let x,uC and{xn}be a sequence generated by

xn+=αnu+βnPC

Iλn(IT)

xn+γnPC(IηB)xn, ∀n∈N, (.)

where{αn},{βn},{γn},{λn} ⊂(, )such thatαn+βn+γn= ,βn∈[c,d]⊂(, ),λn⊂(,  – κ),andη∈(, δ),and suppose that the following conditions hold:

(i) limn→∞αn= and

n=αn=∞, (ii) ∞n=λn<∞,

(iii) ∞n=|λn+–λn|,

n=|γn+–γn|,

n=|αn+–αn|,

n=|βn+–βn|<∞.

Then the sequence{xn}converges strongly to z=PFu.

4 Application

In this section, by using our main result, we prove strong a convergence theorem involving a strictly pseudononspreading mapping and a finite family of strictly pseudocontractive mappings. Before proving the next theorem, we need the following definition.

Definition . The mappingT :CCis said to bestrictly pseudocontractive[] with the coefficientκ∈[, ) if

TxTy≤ xy+κ(IT)x– (IT)y ∀x,yC. (.)

Remark . IfCis a nonempty closed convex subset ofHandT:CCis aκ-strictly pseudocontractive mapping withF(T)=∅, thenF(T) =VI(C, (IT)). To show this, put

(14)

yC. SinceT:CCis aκ-strictly pseudocontractive mapping, we have

TzTz∗ =(IA)z– (IA)z∗=zz∗–AzAz∗

=zz∗– zz∗,AzAz∗ +AzAz∗

=zz∗– zz∗, (IT)z +(IT)z ≤zz∗+κ(IT)z.

It implies that

( –κ)(IT)z≤zz∗, (IT)z ≤.

Then we havez=Tz, thereforezF(T). HenceVI(C, (IT))⊆F(T). It is easy to see that

F(T)⊆VI(C, (IT)).

Remark . A=IT is a –κ

 -inverse strongly monotone mapping. To show this, let

x,yC, we have

TxTy =(IA)x– (IA)y=xy– (AxAy) =xy– xy,AxAy+AxAy ≤ xy+κ(IT)x– (IT)y

=xy+κAxAy. Then we have

xy,AxAy ≥  –κ

AxAy

.

Theorem . Let H be a real Hilbert space and let C be a nonempty closed convex subset of H.Let Tk

i :CC be κi-strictly pseudocontractive mappings for every i= , , . . . ,N,

and let T :CC be aκ-strictly pseudononspreading mapping for someκ ∈[, ).Let Fi:CC be defined by PC(Iη(ITik))x=Fix for every xC andη∈(,  –κi)for

every i= , , . . . ,N, and letδj= (αj,α j ,α

j

)∈I×I×I,j= , , , . . . ,N,where I= [, ], αj+αj +αj = ,αj∈(, )for all j= , , . . . ,N– , αN

 ∈(, ],α j ,α

j

∈[, )for all j=

, , . . . ,N. Let S:CC be the S-mapping generated by F,F, . . . ,FN andδ,δ, . . . ,δN.

Assume thatF=F(T)∩Ni=F(Tk

i)=∅.For every n∈N,i= , , . . . ,N,let x,uC and

{xn}be a sequence generated by

xn+=αnu+βnPC

Iλn(IT)

xn+γnSxn, ∀n∈N,

where{αn},{βn},{γn},{λn} ⊂(, )such thatαn+βn+γn= ,βn∈[c,d]⊂(, ),λn⊂(,  – κ)and suppose that the following conditions hold:

(i) limn→∞αn= and

n=αn=∞, (ii) ∞n=λn<∞,

(iii) ∞n=|λn+–λn|, ∞

n=|γn+–γn|, ∞

n=|αn+–αn|, ∞

n=|βn+–βn|<∞.

(15)

Proof From Remark ., we haveITikis –κi

 -inverse strongly monotone for everyi=

, , . . . ,N. From Remark . and Lemma ., we haveF(Tk

i) =VI(C, (ITik)) =F(PC(Iη(ITk

i))) for everyi= , , . . . ,N. PutITikBiandδi=–κi for everyi= , , . . . ,Nin

Theorem .. The conclusion of Theorem . can be obtained from Theorem .

Competing interests

The author declares that they have no competing interests.

Acknowledgements

This research was supported by the Research Administration Division of King Mongkut’s Institute of Technology Ladkrabang.

Received: 2 September 2012 Accepted: 14 June 2013 Published: 2 July 2013

References

1. Kohsaka, F, Takahashi, W: Fixed point theorems for a class of nonlinear mappings related to maximal monotone operators in Banach spaces. Arch. Math.91, 166-177 (2008)

2. Browder, FE, Petryshyn, WV: Construction of fixed points of nonlinear mappings in Hilbert spaces. J. Math. Anal. Appl. 20, 197-228 (1967)

3. Osilike, MO, Isiogugu, FO: Weak and strong convergence theorems for nonspreading-type mappings in Hilbert spaces. Nonlinear Anal.74, 1814-1822 (2011)

4. 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)

5. Nadezhkina, N, Takahashi, W: Weak convergence theorem by an extragradient method for nonexpansive mappings and monotone mappings. J. Optim. Theory Appl.128, 191-201 (2006)

6. Yao, JC, Chadli, O: Pseudomonotone complementarity problems and variational inequalities. In: Crouzeix, JP, Haddjissas, N, Schaible, S (eds.) Handbook of Generalized Convexity and Monotonicity, pp. 501-558. Springer, New York (2005)

7. Yao, Y, Yao, JC: On modified iterative method for nonexpansive mappings and monotone mappings. Appl. Math. Comput.186(2), 1551-1558 (2007)

8. Iiduka, H, Takahashi, W: Weak convergence theorem by Cesàro means for nonexpansive mappings and inverse-strongly monotone mappings. J. Nonlinear Convex Anal.7, 105-113 (2006)

9. Takahashi, W, Toyoda, M: Weak convergence theorems for nonexpansive mappings and monotone mappings. J. Optim. Theory Appl.118, 417-428 (2003)

10. Takahashi, W: Nonlinear Functional Analysis. Yokohama Publishers, Yokohama (2000)

11. Xu, HK: An iterative approach to quadratic optimization. J. Optim. Theory Appl.116(3), 659-678 (2003)

12. Browder, FE: Nonlinear operators and nonlinear equations of evolution in Banach spaces. Proc. Symp. Pure Math.18, 78-81 (1976)

13. Kangtunyakarn, A, Suantai, S: Hybrid iterative scheme for generalized equilibrium problems and fixed point problems of finite family of nonexpansive mappings. Nonlinear Anal. Hybrid Syst.3, 296-309 (2009)

14. Imnang, S, Suantai, S: Strong convergence theorems for a general system of variational inequality problems, mixed equilibrium problems and fixed points problems with applications. Math. Comput. Model.52, 1682-1696 (2010)

doi:10.1186/1687-1812-2013-171

References

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