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R E S E A R C H

Open Access

Hybrid methods for common solutions in

Hilbert spaces with applications

Lijuan Sun

*

*Correspondence: [email protected]

Kaifeng Vocational College of Culture and Arts, Kaifeng, Henan, China

Abstract

In this paper, hybrid methods are investigated for treating common solutions of nonlinear problems. A strong convergence theorem is established in the framework of real Hilbert spaces.

Keywords: equilibrium problem; fixed point; projection; variational inequality; zero point

1 Introduction and preliminaries

Common solutions to variational inclusion, equilibrium and fixed point problems have been recently extensively investigated based on iterative methods; see [–] and the ref-erences therein. The motivation for this subject is mainly to its possible applications to mathematical modeling of concrete complex problems, which use more than one con-straint. The aim of this paper is to investigate a common solution of variational inclusion, equilibrium and fixed point problems. The organization of this paper is as follows. In Sec-tion , we provide some necessary preliminaries. In SecSec-tion , a hybrid method is intro-duced and analyzed. Strong convergence theorems are established in the framework of Hilbert spaces. In Section , applications of the main results are discussed.

In what follows, we always assume thatHis a real Hilbert space with the inner product

·,·and the norm · . LetCbe a nonempty, closed, and convex subset ofHand letPC be the metric projection fromHontoC. LetS:CCbe a mapping.F(S) stands for the fixed point set ofS; that is,F(S) :={xC:x=Sx}.

Recall thatSis said to becontractiveiff there exists a constantα∈[, ) such that

SxSyαxy, ∀x,yC.

Ifα= , thenSis said to benonexpansive. LetA:CHbe a mapping. IfCis nonempty closed and convex, then the fixed point set ofSis nonempty.

Recall thatAis said to bemonotoneiff

AxAy,xy ≥, ∀x,yC.

Recall thatAis said to bestrongly monotoneiff there exists a constantα>  such that

AxAy,xyαxy, ∀x,yC.

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For such a case,Ais also said to beα-strongly monotone. Recall thatAis said to be inverse-strongly monotoneiff there exists a constantα>  such that

AxAy,xyαAxAy, ∀x,yC.

For such a case,Ais also said to beα-inverse-strongly monotone.

Recall that a set-valued mappingM:HHis said to bemonotoneiff, for allx,yH, fMx, andgMyimplyxy,fg> .Mismaximaliff the graphGraph(M) ofRis not properly contained in the graph of any other monotone mapping. It is well known that a monotone mappingMis maximal if and only if, for any (x,f)∈H×H,xy,fg ≥, for all (y,g)∈Graph(M) impliesfRx. For a maximal monotone operatorMonH, and r> , we may define the single-valued resolventJr:HD(M), whereD(M) denote the domain ofM. It is well known thatJris firmly nonexpansive, andM–() =F(Jr), where F(Jr) :={xD(M) :x=Jrx}, andM–() :={xH: Mx}.

LetA:CHbe a inverse-strongly monotone mapping, and letFbe a bifunction ofC× CintoR, whereRdenotes the set of real numbers. We consider the following generalized equilibrium problem.

FindxCsuch thatF(x,y) +Ax,yx ≥, ∀yC. (.)

In this paper, the set of such anxCis denoted byEP(F,A).

To study the equilibrium problems (.), we may assume thatFsatisfies the following conditions:

(A) F(x,x) = for allxC;

(A) Fis monotone,i.e.,F(x,y) +F(y,x)≤for allx,yC; (A) for eachx,y,zC,

lim sup

t↓

Ftz+ ( –t)x,yF(x,y);

(A) for eachxC,yF(x,y)is convex and weakly lower semicontinuous.

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

Lemma .[] Assume that{αn}is a sequence of nonnegative real numbers such that

αn+≤( –γnn+δn,

where{γn}is a sequence in(, )and{δn}is a sequence such that

() ∞n=γn=∞;

() lim supn→∞δn/γn≤or

n=|δn|<∞. Thenlimn→∞αn= .

Lemma .[] Let F :C×C→Rbe a bifunction satisfying(A)-(A).Then,for any r> and xH,there exists zC such that

F(z,y) +

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Define a mapping Tr:HC as follows:

Trx=

zC:F(z,y) +

ryz,zx ≥,∀yC

, xH,

then the following conclusions hold:

() Tris single-valued;

() Tris firmly nonexpansive,i.e.,for anyx,yH,

TrxTry≤ TrxTry,xy;

() F(Tr) =EP(F);

() EP(F)is closed and convex.

Let{Si:CC}be a family of infinitely nonexpansive mappings and{γi}be a nonneg-ative real sequence with ≤γi< ,∀i≥. Forn≥ define a mappingWn:CCas follows:

Un,n+=I,

Un,n=γnSnUn,n++ ( –γn)I,

Un,n–=γn–Sn–Un,n+ ( –γn–)I,

.. .

Un,k=γkSkUn,k++ ( –γk)I,

Un,k–=γk–Sk–Un,k+ ( –γk–)I,

.. .

Un,=γSUn,+ ( –γ)I,

Wn=Un,=γSUn,+ ( –γ)I.

(.)

Such a mappingWnis nonexpansive fromCtoCand it is called aW-mapping generated bySn,Sn–, . . . ,Sandγn,γn–, . . . ,γ.

Lemma .[] Let{Si:CC}be a family of infinitely nonexpansive mappings with a nonempty common fixed point set and let{γi}be a real sequence such that <γil< , where l is some real number,i≥.Then

() Wnis nonexpansive andF(Wn) = ∞

i=F(Si),for eachn≥;

() for eachxCand for each positive integerk,the limitlimn→∞Un,kexists;

() the mappingW:CCdefined by

Wx:= lim

n→∞Wnx=nlim→∞Un,x, xC, (.)

is a nonexpansive mapping satisfyingF(W) =i=F(Si)and it is called the

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Lemma .[] Let{Si:CC}be a family of infinitely nonexpansive mappings with a nonempty common fixed point set and let{γi}be a real sequence such that <γil< ,

i≥.If K is any bounded subset of C,then

lim

n→∞supxKWxWnx= .

Throughout this paper, we always assume that  <γil< ,∀i≥.

Lemma .[] Let B:CH be a mapping and let M:HH be a maximal monotone operator.Then F(Jr(IsB)) = (B+M)–().

Lemma .[] Let{xn}and{yn}be bounded sequences in H and let{βn}be a sequence in(, )with <lim infn→∞βn≤lim supn→∞βn< .Suppose that xn+= ( –βn)yn+βnxn for all n≥and

lim sup

n→∞

yn+–ynxn+–xn

≤.

Thenlimn→∞ynxn= .

Lemma .[] Let A:CH a Lipschitz monotone mapping and let NCx be the normal cone to C at xC;that is,NCx={yH:xu,y,∀uC}.Define

Dx= ⎧ ⎨ ⎩

Ax+NCx, xC,

x∈/C.

Then D is maximal monotone and∈Dx if and only if xVI(C,A).

2 Main results

Theorem . Let C be a nonempty closed convex subset of a Hilbert space H and F a bifunction from C×C toRwhich satisfies(A)-(A).Let A:CH be aδ

-inverse-strongly monotone mapping,A:CH be aδ-inverse-strongly monotone mapping,A:

CH be aδ-inverse-strongly monotone mapping,M :HH a maximal monotone

operator such thatDom(M)⊂C and M:HH a maximal monotone operator such that Dom(M)⊂C.Let{Si:CC}be a family of infinitely nonexpansive mappings.Assume that:=∞i=F(Si)∩EP(F,A)∩(A+M)–()∩(A+M)–()= ∅.Let x∈C and{xn} be a sequence generated by

⎧ ⎨ ⎩

zn=Jsn(un–snAun),

xn+=αnu+βnxn+γnWnJrn(zn–rnAzn),n≥,

where u is a fixed element in C,unis such that

F(un,y) +Axn,yun+

λn

yun,unxn ≥, ∀yC,

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(a)  <aλnb< δ, <arnb< δ, <a¯≤sn≤ ¯b< δ;

(b) limn→∞αn= and

n=αn=∞;

(c)  <lim infn→∞βn≤lim supn→∞βn< ;

(d) limn→∞|λnλn+|=limn→∞|snsn+|=limn→∞|rnrn+|= .

Then the sequence{xn}converges strongly tox¯∈,wherex¯=Pu.

Proof First, we show that the mappingIrnA,IsnA, andIλnAare nonexpansive.

Indeed, we find from the restriction (a) that (I–rnA)x– (I–rnA)y

=xy– rnxy,AxAy+rnAxAy

xy– rnδAxAy+rnAxAy

=xy+rn(rn– δ)AxAy

xy, ∀x,yC,

which implies that the mappingIrnAis nonexpansive. In the same way, we findIsnA

andIλnAare also nonexpansive. Putyn=Jrn(znrnAzn). Fixingx∗∈, we find

ynx∗=Jrn(zn–rnAzn) –Jrn

x∗–rnAx∗ ≤znx

=Jsn(unsnAun) –Jsn

x∗–snAx∗ ≤Tλn(I–λnA)xn–Tλn(I–λnA)x∗ ≤xnx∗.

It follows that

xn+–x∗=αnu+βnxn+γnWnynx

αnux∗+βnxnx∗+γnWnynx

αnux∗+ ( –αn)xnx∗.

This implies that{xn}is bounded, and so are{yn},{zn}, and{un}. Without loss of generality, we can assume that there exists a bounded setKCsuch thatxn,yn,zn,unK. Notice that

F(un+,y) +

λn+

yun+,un+– (I–rn+A)xn+

≥, ∀yC, (.)

and

F(un,y) +λn

yun,un– (I–rnA)xn

≥, ∀yC. (.)

Lety=unin (.) andy=un+in (.). By adding these two inequalities, we obtain

un+–un,

un– (I–λnA)xn

λn

un+– (I–λn+A)xn+ λn+

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It follows that

un+–un≤

un+–un, (Iλn+A)xn+– (I–λnA)xn

+

 – λn λn+

un+– (I–λn+A)xn+

un+–un

(I–λn+A)xn+– (I–λnA)xn

+ – λn λn+

un+– (I–λn+A)xn+)

.

It follows that

un+–un ≤(I–λn+A)xn+– (I–λnA)xn

+|λn+–λn| λn+

un+– (I–λn+A)xn+

=(I–λn+A)xn+– (I–λn+A)xn+ (I–λn+A)xn– (I–λnA)xn

+|λn+–λn| λn+

un+– (I–λn+A)xn+

xn+–xn+|λn+–λn|M, (.)

whereMis an appropriate constant such that

M=sup

n≥

Axn+

un+– (I–λn+A)xn+ a

.

SinceJsnis firmly nonexpansive, we find that

zn+–zn

un+–sn+Aun+– (un–snAun)

=(I–sn+A)un+– (I–sn+A)un+ (sn–sn+)Aun

un+–un+|snsn+|Aun. (.)

Combining (.) with (.) yields

zn+–znxn+–xn+|λn+–λn|M+|snsn+|Aun. (.)

SinceJrnis also firmly nonexpansive, we find that

yn+–ynzn+–zn+|rnrn+|Azn. (.)

Substituting (.) into (.), we see that

yn+–ynxn+–xn+

|rn+–rn|+|λnλn+|+|snsn+|

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whereMis an appropriate constant such that

M=max

sup

n≥

Azn

,sup

n≥

Aun

,M

.

SinceWnis nonexpansive, we find that

Wn+yn+–Wnyn

=Wn+yn+–Wyn++Wyn+–Wyn+WynWnyn

Wn+yn+–Wyn++Wyn+–Wyn+WynWnyn ≤sup

xK

Wn+xWx+WxWnx

+yn+–yn, (.)

whereKis the bounded subset ofCdefined as above. Substituting (.) into (.), we find that

Wn+yn+–Wnyn ≤ sup

xK

Wn+xWx+WxWnx

+xn+–xn

+|rn+–rn|+|λnλn+|+|snsn+|

M. (.)

Letting

xn+= ( –βn)vn+βnxn,

we see that

vn+–vn=

αn+u+γn+Wn+yn+

 –βn+

αnu+γnWnyn  –βn

= αn+  –βn+

u+ –αn+–βn+  –βn+

Wn+yn+

αn  –βn

u+ –αnβn  –βn

Wnyn

= αn+  –βn+

(u–Wn+yn+) –

αn  –βn

(u–Wnyn)

+Wn+yn+–Wnyn.

Hence, we have

vn+–vnαn+

 –βn+

uWn+yn++ αn  –βn

uWnyn

+Wn+yn+–Wnyn. (.)

Substituting (.) into (.), we find that

vn+–vnxn+–xn

αn+

 –βn+

uWn+yn++

αn  –βn

uWnyn

+sup

xK

Wn+xWx+WxWnx

+|rn+–rn|+|λnλn+|+|snsn+|

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It follows from Lemma . that

lim sup

n→∞

vn+–vnxn+–xn

≤.

In view of Lemma ., we find thatlimn→∞vnxn= . It follows that

lim

n→∞xn+–xn= . (.)

For anyx∗∈, we see that

xn+–x∗ 

αnux

+βnxnx

+γnynx

. (.)

Since

ynx

≤(I–rnA)zn– (I–rnA)x∗ 

=znx∗– rnznx∗,AznAx

+rnAznAx∗

znx∗– rnδAznAx∗+rnAznAx∗

=xnx∗+rn(rn– δ)AznAx∗,

we find that

γnrn(δ–rn)AznAx∗

αnux∗+xnx∗+xn+–xxnxn+.

Using the restrictions (a) and (b), we obtain

lim

n→∞AznAx

= . (.)

It follows from (.) that

xn+–x∗ 

αnux

+βnxnx

+γnznx

.

Since

znx∗=Jrn(un–snAun) –x

∗

≤(I–snA)un– (I–snA)x∗ 

=unx∗– snunx∗,AunAx

+snAunAx∗ 

unx

– sAunAx∗ 

+snAunAx∗ 

=unx

+sn(sn– δ)AunAx∗ 

,

we have

xn+–x∗ 

αnf(xn) –x

+xnx∗+γnsn(sn– δ)AunAx∗ 

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which implies that

γnsn(δ–sn)AunAx∗

αnf(xn) –x∗+xnx∗+xn+–xxnxn+.

Using the restrictions (a) and (b), we obtain

lim

n→∞AunAx

= . (.)

Note that

xn+–x∗ 

αnux

+βnxnx

+γnxnx∗–rn

AxnAx∗ 

αnux

+βnxnx

+γnxnx

+λnAxnAx∗ 

– λn

AxnAx∗,xnx

αnux

+βnxnx

+γnxnx

λnγn(δ–λn)AxnAx∗.

This implies that

λnγn(δ–λn)AxnAx∗ 

αnux

+xnx∗+xn+–xxnxn+.

Using the restrictions (a) and (b), we see that

lim

n→∞AxnAx

= . (.)

SinceTλnis firmly nonexpansive, we find that

unx∗≤(I–λnA)xn– (I–λnA)x∗,unx

≤ 

xnx

∗

+unx

xnun–λnAxnAx∗ 

+ λn

AxnAx∗,xnun

.

This in turn implies that

γnxnun≤αnf(xn) –x∗+xnx∗+xn+–xxnxn+

+ λnAxnAxxnun.

Using the restrictions (a) and (b), we see that

lim

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SinceJsnis also firmly nonexpansive mapping, we see that

znx∗≤(I–snA)un– (I–snA)x∗,znx

≤ 

unx

∗

+znx∗–unznsnAunAx∗ 

≤ 

unx

∗

+znx∗–unzn

+ snunznAunAx∗–snAunAx∗

,

which implies that

znx

xnx

unzn+ snunznAunAx∗.

It follows that

γnunzn≤αnf(xn) –x∗+xnx∗+xn+–xxnxn+

+ snunznAunAx∗.

Using the restrictions (a) and (b), we obtain

lim

n→∞unzn=  (.)

and

lim

n→∞ynzn= . (.)

Note that

( –βn)Wnynxnxnxn++αnuWnyn.

Using the restrictions (b) and (c), we obtain

lim

n→∞Wnynxn= . (.)

On the other hand, one has

Wnynynynzn+znun+unxn+xnWnyn.

Using (.), (.), (.), and (.), we find that

lim

n→∞Wnynyn= . (.)

Next, we prove that

lim sup

n→∞

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To see this, we choose a subsequence{xni}of{xn}such that

lim sup

n→∞

ux,¯ xnx¯= lim

i→∞ux,¯ xnix¯. (.)

Since{xni}is bounded, there exists a subsequence{xnij}of{xni}which converges weakly to w. Without loss of generality, we may assume that xni q. Therefore, we see that yniq. We also havezniq.

Next, we show thatq∈∞i=F(Si). Suppose the contrary,q∈/ CFPS,i.e., Wq=q. Since yniq, we see from Opial’s condition that

lim inf

i→∞ yniq<lim infi→∞ yniWq

≤lim inf

i→∞

yniWyni+WyniWq

≤lim inf

i→∞

yniWyni+yniq

. (.)

On the other hand, we have

WynynWynWnyn+Wnynyn

≤sup

xK

WxWnx+Wnynyn.

In view of Lemma ., we obtain thatlimn→∞Wynyn= . This implies from (.)

thatlim infi→∞yniq<lim infi→∞yniq. This is a contradiction. Thus, we haveq∈ ∞

i=F(Si).

Now, we are in a position to prove thatq∈(A+M)–(). Notice that znrnynAzn

Myn. LetμMν. SinceMis monotone, we find that

znyn

rnAznμ,ynν

≥.

This implies that–Aqμ,qν ≥. This implies that –AqMq, that is,q∈(A+

M)–().

Now, we prove thatq∈(A+M)–(). Notice thatunsnznAunMzn. LetμMν.

SinceMis monotone, we find that

unzn

snAunμ

,z

nν

≥.

This implies that–Aqμ,qν ≥. This implies that –AqMq, that is,q∈(A+

M)–().

Next, we show thatqEP(F,A). Sinceun=Tλn(I–λnA)xn, for anyyC, we have

F(un,y) +Axn,yun+

λn

yun,unxn ≥.

Replacingnbyni, we find from (A) that

Axni,yuni+

yuni,

unixni λni

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Puttingyt=ty+ ( –t)qfor anyt∈(, ] andyC, we see thatytC. It follows that

ytuni,Ayt

ytuni,AytAxni,ytuni

ytuni,

unixni λni

+F(yt,uni)

=ytuni,AytAuni+ytuni,AuniAxni

ytuni,

unixni λni

+F(yt,uni).

In view of the monotonicity ofA, and the restriction (a), we obtain from (A) that

ytq,AytF(yt,q).

From (A) and (A), we see that

 =F(yt,yt)≤tF(yt,y) + ( –t)F(yt,q)

tF(yt,y) + ( –t)ytq,Ayt

=tF(yt,y) + ( –t)tyq,Ayt.

It follows that

≤F(yt,y) + ( –t)yw,Ayt, ∀yC.

It follows from (A) thatqEP(F,A). Hence,

lim sup

n→∞

ux,¯ xnx¯ ≤.

Finally, we show thatxn→ ¯x. Note that

xn+–x¯

αnux,¯ xn+–x¯+βnxnx¯xn+–x¯+γnynx¯xn+–x¯

αnux,¯ xn+–x¯+

 –αn

xnx¯+xn+–x¯

.

This implies that

xn+–x¯≤αnux,¯ xn+–x¯+ ( –αn)xnx¯.

Using Lemma ., we find thatlimn→∞xnx¯= . This completes the proof.

3 Applications

In this section, we consider some applications of the main results.

Recall that the classical variational inequality is to find anxCsuch that

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In this paper, we useVI(C,A) to denote the solution set of the inequality. It is well known thatxCis a solution of the inequality iffxis a fixed point of the mappingPC(IrA), where r>  is a constant,I stands for the identity mapping. IfAisα-inverse-strongly monotone andr∈(, α], then the mappingI–rAis nonexpansive. It follows thatVI(C,A) is closed and convex.

Letg:H→(–∞, +∞] be a proper convex lower semicontinuous function. Then the subdifferential∂gofgis defined as follows:

∂fg(x) =yH:g(z)g(x) +zx,y,zH, ∀xH.

From Rockafellar [], we know that∂gis maximal monotone. It is not hard to verify that ∈∂g(x) if and only ifg(x) =minyHg(y).

LetICbe the indicator function ofC,i.e.,

IC(x) = ⎧ ⎨ ⎩

, xC,

+∞, x∈/C.

SinceIC is a proper lower semicontinuous convex function onH, we see that the subd-ifferential∂ICofIC is a maximal monotone operator. It is clearly thatJrx=PCx,xH, (A+∂IC)–() =VI(C,A) and (A+∂IC)–() =VI(C,A).

Theorem . Let C be a nonempty closed convex subset of a Hilbert space H and F a bi-function from C×C toRwhich satisfies(A)-(A).Let A:CH be aδ-inverse-strongly

monotone mapping,A:CH be aδ-inverse-strongly monotone mapping,A:CH

be aδ-inverse-strongly monotone mapping,and{Si:CC}be a family of infinitely

non-expansive mappings.Assume that:=∞i=F(Si)EP(F,A)∩VI(C,A)∩VI(C,A)=∅.

Let x∈C and{xn}be a sequence generated by

⎧ ⎨ ⎩

zn=PC(un–snAun),

xn+=αnf(xn) +βnxn+γnWnPC(znrnAzn),n≥,

where unis such that

F(un,y) +Axn,yun+  λn

yun,unxn ≥, ∀yC,

{Wn:CC}is the sequence generated in(.),{αn},{βn},and{γn}are sequences in(, ) such thatαn+βn+γn= for each n≥and{rn},{sn},and{λn}are positive number se-quences.Assume that the above control sequences satisfy the following restrictions:

(a)  <aλnb< δ, <arnb< δ, <a¯≤sn≤ ¯b< δ; (b) limn→∞αn= and

n=αn=∞;

(c)  <lim infn→∞βn≤lim supn→∞βn< ;

(d) limn→∞|λnλn+|=limn→∞|snsn+|=limn→∞|rnrn+|= .

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Recall that a mappingT:CCis said to be ak-strict pseudo-contraction if there exists a constantk∈[, ) such that

TxTy≤ xy+k(I–T)x– (I–T)y, ∀x,yC.

PuttingA=IT, whereT:CCis ak-strict pseudo-contraction, we find thatAis

–k

 -inverse-strongly monotone.

Next, we consider fixed points of strict pseudo-contractions.

Theorem . Let C be a nonempty closed convex subset of a Hilbert space H and F a bifunction from C×C toRwhich satisfies(A)-(A).Let T:CH be a k-strict

pseudo-contraction,T:CH be a k-strict pseudo-contraction, A:CH be a

δ-inverse-strongly monotone mapping,and{Si:CC}be a family of infinitely nonexpansive map-pings.Assume that:=∞i=F(Si)EP(F,A)∩F(T)∩F(T)=∅.Let x∈C and{xn}be

a sequence generated by

⎧ ⎪ ⎪ ⎨ ⎪ ⎪ ⎩

zn= ( –sn)un+snTun,

yn= ( –rn)un+rnTun,

xn+=αnf(xn) +βnxn+γnWnyn,n≥,

where unis such that

F(un,y) +Axn,yun+

λn

yun,unxn ≥, ∀yC,

{Wn:CC}is the sequence generated in(.),{αn},{βn},and{γn}are sequences in(, ) such thatαn+βn+γn= for each n≥and{rn},{sn},and{λn}are positive number se-quences.Assume that the above control sequences satisfy the following restrictions:

(a)  <aλnb< δ, <arnb<  –k, <a¯≤sn≤ ¯b<  –k;

(b) limn→∞αn= and

n=αn=∞;

(c)  <lim infn→∞βn≤lim supn→∞βn< ;

(d) limn→∞|λnλn+|=limn→∞|snsn+|=limn→∞|rnrn+|= . Then the sequence{xn}converges strongly tox¯=Pu.

Proof TakingAi=ITi, wee see thatAi:CH is aδi-strict pseudo-contraction with δi=–ki andF(Ti) =VI(C,Ai) fori= , . In view of Theorem ., we find the desired

conclusion immediately.

Competing interests

The author declares that he has no competing interests.

Acknowledgements

The author is very grateful to the reviewers for useful suggestions which improved the contents of this paper.

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