• No results found

Strong convergence of viscosity approximation methods for the fixed-point of pseudo-contractive and monotone mappings

N/A
N/A
Protected

Academic year: 2020

Share "Strong convergence of viscosity approximation methods for the fixed-point of pseudo-contractive and monotone mappings"

Copied!
11
0
0

Loading.... (view fulltext now)

Full text

(1)

R E S E A R C H

Open Access

Strong convergence of viscosity

approximation methods for the fixed-point of

pseudo-contractive and monotone mappings

Yan Tang

*

*Correspondence: [email protected] College of Mathematics and Statistics, Chongqing Technology and Business University, Chongqing, 400067, China

Abstract

In this paper, we introduce a viscosity iterative process, which converges strongly to a common element of the set of fixed points of a pseudo-contractive mapping and the set of solutions of a monotone mapping. We also prove that the common element is the unique solution of certain variational inequality. The strong convergence theorems are obtained under some mild conditions. The results presented in this paper extend and unify most of the results that have been proposed for this class of nonlinear mappings.

MSC: 47H09; 47H10; 47L25

Keywords: pseudo-contractive mappings; monotone mappings; fixed point;

variational inequalities; viscosity approximation

1 Introduction

LetCbe a closed convex subset of a real Hilbert spaceH. A mappingA:CHis called monotone if and only if

xy,AxAy ≥, ∀x,yC. (.)

A mappingA:CHis calledα-inverse strongly monotone if there exists a positive real numberα>  such that

xy,AxAyαAxAy, ∀x,yC. (.)

Obviously, the class of monotone mappings includes the class of theα-inverse strongly monotone mappings.

A mappingT:CHis called pseudo-contractive if∀x,yC, we have

TxTy,xyxy. (.)

A mappingT:CHis calledκ-strict pseudo-contractive, if there exists a constant ≤κ≤ such that

xy,TxTyxy–κ(IT)x– (IT)y, ∀x,yC. (.)

(2)

A mappingT:CCis called non-expansive if

TxTyxy, ∀x,yC. (.)

Clearly, the class of contractive mappings includes the class of strict pseudo-contractive mappings and non-expansive mappings. We denote byF(T) the set of fixed points ofT, that is,F(T) ={xC:Tx=x}.

A mappingf :CCis called contractive with a contraction coefficient if there exists a constantρ∈(, ) such that

f(x) –f(y)≤ρxy, ∀x,yC. (.)

For finding an element of the set of fixed points of the non-expansive mappings, Halpern [] was the first to study the convergence of the scheme in 

xn+=αn+u+ ( –αn+)T(xn). (.)

In , Moudafi [] introduced the viscosity approximation methods and proved the strong convergence of the following iterative algorithm under some suitable conditions

xn+=αnf(xn) + ( –αn)T(xn). (.)

Viscosity approximation methods are very important, because they are applied to con-vex optimization, linear programming, monotone inclusions and elliptic differential equa-tions. In a Hilbert space, many authors have studied the fixed points problems of the fixed points for the non-expansive mappings and monotone mappings by the viscosity approx-imation methods, and obtained a series of good results, see [–].

Suppose thatAis a monotone mapping fromCintoH. The classical variational inequal-ity problem is formulated as finding a pointuCsuch thatvu,Au ≥,∀vC. The set of solutions of variational inequality problems is denoted byVI(C,A).

Takahashi [, ] introduced the following scheme and studied the weak and strong convergence theorem of the elements ofF(T)∩VI(C,A), respectively, under different con-ditions

xn+=αnxn+ ( –αn+)TPC(xnλnxn), (.)

whereTis a non-expansive mapping,Ais anα-inverse strong monotone operator. Recently, Zegeye and Shahzad [] introduced the algorithms and obtained the strong convergence theorems in a Hilbert space, respectively,

xn+=αnf(xn) + ( –αn)Tnxn (.)

and

(3)

where Tn are asymptotically non-expansive mappings, andTrn, Frn are non-expansive

mappings.

Our concern is now the following: Is it possible to construct a new sequence that con-verges strongly to a common element of the intersection of the set of fixed points of a pseudo-contractive mapping and the solution set of a variational inequality problem for a monotone mapping?

2 Preliminaries

LetCbe a nonempty closed and convex subset of a real Hilbert spaceH, a mappingPC: HCis called the metric projection, if∀xH, there exists a unique point inC, denote byPCxsuch that

xPCxxy, ∀yC.

It is well known thatPCis a non-expansive mapping, andPCxhave the property as follows:

xPCx,yPCx ≤, ∀xH,yC, (.)

xy≥ xPCx+yPCx, ∀xH,yC. (.)

Lemma .[] Let{an}be a sequence of nonnegative real numbers satisfying the following relation:

an+≤( –θn)an+σn, n≥,

where{θn}is a sequence in(,)and{σn}is a real sequence such that (i) ∞n=θn=∞;

(ii) lim supn→∞σn

θn ≤or

n=σn<∞. Thenlimn→∞an= .

Lemma . [] Let C be a closed convex subset of a Hilbert space H. Let A:CH be a continuous monotone mapping,let T:CC be a continuous pseudo-contractive mapping,define mappings Trand Fras follows:xH,r∈(,∞)

Tr(x) =

zC:yz,Tz–

r

yz, ( +r)zx≤,∀yC

,

Fr(x) =

zC:yz,Az+

ryz,zx ≥,∀yC

.

Then the following hold:

(i) TrandFrare single-valued;

(ii) TrandFrare firmly non-expansive mappings,i.e.,TrxTryTrxTry,xy, FrxFryFrxFry,xy;

(4)

Lemma .[] Let{xn}and{zn}be bounded sequence in a Banach space,and let{βn} be a sequence in[, ],which satisfies the following condition:

 <lim inf

n→∞ βn<lim supn→∞ βn< . Suppose that

xn+=βnxn+ ( –βn)zn, n≥ and

lim

n→∞

zn+–znxn+–xn ≤.

Thenlimn→∞znxn= .

LetCbe a closed convex subset of a Hilbert spaceH. LetA:CH be a continuous monotone mapping, letT:CCbe a continuous pseudo-contractive mapping. Then we define the mappings as follows: forxH,τn∈(,∞)

Tτn(x) =

zC:yz,Tz– 

τn

yz, ( +τn)zx

≤,∀yC

, (.)

Fτn(x) =

zC:yz,Az+ 

τn

yz,zx ≥,∀yC

. (.)

3 Main results

Theorem . Let C be a nonempty closed convex subset of a Hilbert space H.Let T:CC be a continuous pseudo-contractive mapping,let A:CH be a continuous monotone mapping such that F =F(T)∩VI(C,A)=∅,let f :CC be a contraction with a con-traction coefficient ρ∈(, ).The mappings Tτn and Fτn are defined as(.)and(.), respectively.Let{xn}be a sequence generated by x∈C

⎧ ⎨ ⎩

yn=λnxn+ ( –λn)Fτnxn, xn+=αnf(xn) +βnxn+γnTτnyn,

(.)

whereλn∈[, ],let{αn},{βn},{γn}be sequences of nonnegative real numbers in[, ]and (i) αn+βn+γn= ,n≥;

(ii) limn→∞αn= ,

n=αn=∞;

(iii)  <lim infn→∞λn<lim supn→∞λn< ; (iv) lim infn→∞τn> ,

n=|τn+–τn|<∞.

Then the sequence{xn}converges strongly tox¯=PFfx),and alsox is the unique solution¯ of the variational inequality

fx) –x¯,yx¯≤, ∀yF. (.)

Proof First, we prove that{xn}is bounded. TakepF, then we have from Lemmas .

that

(5)

Forn≥, becauseTτnandFτnare non-expansive, andf is contractive, we have

xn+–p

=αn

f(xn) –p +βn(xnp) +γn(Tτnynp)

αnf(xn) –f(p)+αnf(p) –p+βnxnp+γnTτnynp

ραnxnp+αnf(p) –p+ ( –αn)xnp

≤ – ( –ρ)αn

xnp+αnf(p) –p

≤maxx–p,

f(p) –p

 –ρ

.

Therefore,{xn}is bounded. Consequently, we get that{Fτnxn},{Tτnyn}and{yn},{f(xn)}

are bounded.

Next, we show thatxn+–xn →.

yn+–ynλn+xn+–xn+ ( –λn+)Fτn+xn+–Fτnxn

+|λn+–λn|xnFτnxn. (.)

Letvn=Fτnxn,vn+=Fτn+xn+, by the definition of the mappingFτn, we have that

yvn,Avn+ 

τn

yvn,vnxn ≥, ∀yC, (.)

yvn+,Avn++ 

τn+

yvn+,vn+–xn+ ≥, ∀yC. (.)

Puttingy:=vn+in (.), and lettingy:=vnin (.), we have that

vn+–vn,Avn+ 

τn

vn+–vn,vnxn ≥, (.)

vnvn+,Avn++ 

τn+

vnvn+,vn+–xn+ ≥. (.)

Adding (.) and (.), we have that

vn+–vn,AvnAvn++

vn+–vn,

vnxn

τn

vn+–xn+

τn+

≥.

SinceAis a monotone mapping, which implies that

vn+–vn,

vnxn

τn

vn+–xn+

τn+

≥.

Therefore, we have that

vn+–vn,vnxn

τn(vn+–xn+)

τn+

+vn+–vn+

(6)

i.e.,

vn+–vn≤

vn+–vn,xn+–xn+

 – τn

τn+

(vn+–xn+)

vn+–vn

xn+–xn+

 – τn

τn+

vn+–xn+

. (.)

Without loss of generality, letbbe a real number such thatτn>b> ,∀nN, then we

have that

vn+–vnxn+–xn+

 – τn

τn+

vn+–xn+

xn+–xn+

b|τn+–τn|K, (.)

whereK=supvn+–xn+. Then we have from (.) and (.) that

yn+–ynxn+–xn+

( –λn+)|τn+–τn|

b K

+|λn+–λn|xnFτnxn. (.)

On the other hand, letun=Tτnyn,un+=Tτn+yn+, we have that

yun,Tun

τn

yun, ( +τn)unyn

≤, ∀yC, (.)

yun+,Tun+– 

τn+

yun+, ( +τn+)un+–yn+

≤, ∀yC. (.)

Lety:=un+in (.), and lety:=unin (.), we have that

un+–un,Tun

τn

un+–un, ( +τn)unyn

≤, (.)

unun+,Tun+– 

τn+

unun+, ( +τn+)un+–yn+

≤. (.)

Adding (.) and (.), and becauseT is pseudo-contractive, we have that

un+–un,

unyn

τn

un+–yn+

τn+

≥.

Therefore, we have

un+–un,unyn

τn(un+–yn+)

τn+

+un+–un+

≥.

Hence we have that

un+–unyn+–yn+ 

b|τn+–τn|M, (.)

(7)

Letxn+=βnxn+ ( –βn)zn, hence we have that

zn+–zn=

αn+  –βn+

f(xn+) –f(xn) +

αn+  –βn+

αn  –βn

f(xn)

+ γn+  –βn+

(un+–un) +

γn+  –βn+

γn  –βn

un. (.)

Hence we have from (.), (.), (.) and condition (iii) that

zn+–znxn+–xn

≤(ρ– )αn+  –βn+

xn+–xn+ αn+

 –βn+ – αn

 –βn

f(xn)+un

+ γn+  –βn+

|τn+–τn| b

( –λn+)K+M +

γn+  –βn+|

λn+–λn|xnFτnxn. (.)

Notice conditions (ii) and (iv), we have that

lim sup

n→∞

zn+–znxn+–xn = . (.)

Hence we have from Lemma . that

lim sup

n→∞ znxn= . (.)

Therefore, we have that

xn+–xn=| –βn|znxn →. (.)

Hence we have from (.) and (.) that

yn+–yn →, un+–un →, vn+–vn →. (.)

Sincexn=αn–f(xn–) +βn–xn–+γn–vn–, so we have that xnvnxnvn–+vn––vn

≤ –αn–( –ρ)

xn––vn–+vn––vn.

According to Lemma ., we have that

xnvn →.

In the same way, we have that

xnyn →, xnun →.

Consequently, we have that

(8)

Now, we show thatlim supn→∞fx) –x¯,xn+–x¯ ≤.

Since sequence{xn}is bounded, then there exists a sub-sequence{xnk}of{xn}andwC

such thatxnkw. Next, we show thatwF=F(T)∩VI(C,A). Sincevn=Fτnxn, we have that

yvnk,Avnk+

τnk

yvnk,vnkxnk ≥, ∀yC.

Letvt=tv+ ( –t)w,t∈(, ),vC, then we have that

vtvnk,Avtvtvnk,AvtAvnk

vtvnk,vnkxnk

τnk

.

Sincexnkvnk→, and alsoAis monotone, we have that

≤ lim

k→∞vtvnk,Avt=vtw,Avt.

Consequently,

vtw,Avt ≥.

Ift→, by the continuity ofA, we havevw,Aw ≥,∀vC. Thus,wVI(C,A). In addition, sinceun=Fτnyn, we have that

yunk,Tunk– 

τnk

yunk, ( +τnk)unkynk

≤, ∀yC.

Letvt=tv+ ( –t)w,t∈(, ),vC, then we have that

unkvt,Tvtvtunk,TunkTvt

vtunk, +τnk

τnk

unkynk

≥–vtunk,vt– 

τnk

vtunk,unkynk.

Sinceynkunk→, ift→, by the continuity ofT, we have that

vw,Tw ≥–vw,w, ∀vC.

Let v=Tw, we havew=Tw, thus,wF(T). Consequently, we conclude thatwF=

F(T)∩VI(C,A).

Becausex¯=PFf(x¯), we have from (.) that

lim sup

n→∞

f(x¯) –x¯,xnx¯

=f(x¯) –PFf(x¯),wPFf(x¯)

≤. (.)

Next, we show thatxn→ ¯x. From formula (.), we have that

xn+–x¯=αn

f(xn) –x¯ +βn(xnx¯) +γn(unx¯)

αnf(xn) –x¯+βn(xnx¯) +γn(unx¯)

(9)

+ αn

f(xn) –x¯,βn(xnx¯) +γn(unx¯)

αnf(xn) –x¯+ ( –αn)xnx¯+ αnβn

f(xn) –x¯,xnx¯

+ αnγnf(xn) –x¯unx¯

αnf(xn) –x¯+ ( –αn)xnx¯+ αnβn

fx) –x¯,xnx¯

+ αnβn

f(xn) –fx),xnx¯+ αnγnf(xn) –x¯unx¯

=( –αn)+ ραnβn

xnx¯+αnf(xn) –x¯+ αnβn

fx) –x¯,xnx¯

+ αnγnf(xn) –x¯unx¯

= – αn( –ρβn) xnx¯+αnf(xn) –x¯

+xnx¯

+ αnγnf(xn) –x¯unx¯+ αnβn

fx) –x¯,xnx¯.

Let θn= αn( –ρβn), σn=αn[f(xn) –x¯+xnx¯] + αnγnfx) –x¯unx¯+

αnβnfx) – x¯,xnx¯. According to Lemma . and formula (.), we have that

limn→∞xnx¯= ,i.e., the sequence{xn}converges strongly tox¯∈F.

According to formula (.), we conclude thatx¯is the solution of the variational inequal-ity (.). Now, we show thatx¯is the unique solution of the variational inequality (.).

Suppose thaty¯∈Fis another solution of the variational inequality (.). Becausex¯is the solution of the variational inequality (.),i.e.,fx) –x¯,yx¯ ≤,∀yF. Becausey¯∈F, then we have

fx) –x¯,y¯–x¯≤. (.)

On the other hand, to the solutiony¯∈F, sincex¯∈F, so

f(y¯) –y¯,x¯–y¯≤. (.)

Adding (.) and (.), we have that

¯

xy¯–fx) –fy),x¯–y¯≤,

i.e.,

¯

x–¯yfx) –fy) ,x¯–y¯≤fx) –fy),x¯–y¯.

Hence

¯xy¯≤fx) –fy),x¯–¯yρ¯xy¯.

Becauseρ∈(, ), hence we conclude thatx¯=¯y, the uniqueness of the solution is

ob-tained.

(10)

mapping such that F =F(T)∩VI(C,A)=∅,let f :CC be a contraction with a con-traction coefficient ρ∈(, ).The mappings Tτn and Fτn are defined as(.)and(.), respectively.Let{xn}be a sequence generated by x∈C

xn+=αnf(xn) +βnxn+γnTτnFτnxn, (.) where{αn},{βn},{γn}are sequences of nonnegative real numbers in[, ]and

(i) αn+βn+γn= ,n≥; (ii) limn→∞αn= ,

n=αn=∞; (iii) lim infn→∞τn> ,

n=|τn+–τn|<∞.

Then the sequence{xn}converges strongly tox¯=PFfx),and alsox is the unique solution¯ of the variational inequality

fx) –x¯,yx¯≤, ∀yF. (.)

Proof Puttingλn=  in Theorem ., we can obtain the result.

If in Theorem . and Theorem ., letf :≡uCbe a constant mapping, we have the following theorems.

Theorem . Let C be a nonempty closed convex subset of a Hilbert space H.Let T:CC be a continuous pseudo-contractive mapping,let A:CH be a continuous accretive mapping such that F=F(T)∩VI(C,A)=∅.The mappings Tτnand Fτnare defined as(.) and(.),respectively.Let{xn}be a sequence generated by

⎧ ⎪ ⎪ ⎨ ⎪ ⎪ ⎩

x=xC,

yn=λnxn+ ( –λn)Fτnxn, xn+=αnu+βnxn+γnTτnyn,

(.)

whereλn∈[, ],and let{αn},{βn},{γn}be sequences of nonnegative real numbers in[, ] and

(i) αn+βn+γn= ,n≥; (ii) limn→∞αn= ,

n=αn=∞;

(iii)  <lim infn→∞λn<lim supn→∞λn< ; (iv) lim infn→∞τn> ,

n=|τn+–τn|<∞.

Then the sequence{xn}converges strongly tox¯=PFu,and alsox is the unique solution of¯ the variational inequality

ux¯,yx¯ ≤, ∀yF. (.)

Theorem . Let C be a nonempty closed convex subset of a Hilbert space H.Let T:CC be a continuous pseudo-contractive mapping,let A:CH be a continuous monotone mapping such that F=F(T)∩VI(C,A)=∅.The mappings Tτnand Fτnare defined as(.) and(.),respectively.Let{xn}be a sequence generated by x∈C

(11)

where{αn},{βn},{γn}are sequences of nonnegative real numbers in[, ]and (i) αn+βn+γn= ,n≥;

(ii) limn→∞αn= ,

n=αn=∞; (iii) lim infn→∞τn> ,

n=|τn+–τn|<∞.

Then the sequence {xn} converges tox¯=PFu, and alsox is the unique solution of the¯ variational inequality

ux¯,yx¯ ≤, ∀yF. (.)

Competing interests

The author declares that they have no competing interests.

Acknowledgements

This work was supported by the Natural Science Foundation Project of Chongqing (CSTC, 2012jjA00039) and the Science and Technology Research Project of Chongqing Municipal Education Commission (KJ130712, KJ130731).

Received: 15 October 2012 Accepted: 25 September 2013 Published:08 Nov 2013 References

1. Halpern, B: Fixed points of nonexpanding maps. Bull. Am. Math. Soc.73, 957-961 (1967)

2. Moudafi, A: Viscosity approximation methods for fixed point problems. J. Math. Anal. Appl.241, 46-55 (2000) 3. Yao, Y: A general iterative method for a finite family of nonexpansive mappings. Nonlinear Anal.66, 2676-2687 (2007) 4. Yao, Y, Chen, R, Yao, JC: Strong convergence and certain conditions for modified Mann iteration. Nonlinear Anal.68,

1687-1693 (2008)

5. Chang, SS, Lee, HWJ, Chan, CK: On Reich’s strong convergence theorem for asymptotically nonexpansive mappings in Banach spaces. Nonlinear Anal.66, 2364-2374 (2007)

6. Xu, HK: Viscosity approximation methods for nonexpansive mappings. J. Math. Anal. Appl.298, 279-291 (2004) 7. Matsushita, S, Takahashi, W: Strong convergence theorems for nonexpansive nonself-mappings without boundary

conditions. Nonlinear Anal.68, 412-419 (2008)

8. Deng, L, Liu, Q: Iterative scheme for nonself generalized asymptotically quasi-nonexpansive mappings. Appl. Math. Comput.205, 317-324 (2008)

9. Song, Y: A new sufficient condition for the strong convergence of Halpern type iterations. Appl. Math. Comput.198, 721-728 (2008)

10. Shioji, N, Takahashi, W: Strong convergence of approximated sequences for non-expansive mappings in Banach spaces. Proc. Am. Math. Soc.125, 3641-3645 (1997)

11. Chang, SS: On Chidume’s open questions and approximation solutions of multivalued strongly accretive mappings equations in Banach spaces. J. Math. Anal. Appl.216, 94-111 (1997)

12. Xu, HK: An iterative approach to quadratic optimization. J. Optim. Theory Appl.116, 659-678 (2003) 13. Takahashi, W: Non-Linear Functional Analysis-Fixed Point Theory and Its Applications. Yokohama Publishers,

Yokohama (2000) (in Japanese)

14. Lou, J, Zhang, L, He, Z: Viscosity approximation methods for asymptotically nonexpansive mappings. Appl. Math. Comput.203, 171-177 (2008)

15. Ceng, LC, Xu, HK, Yao, JC: The viscosity approximation method for asymptotically nonexpansive mappings in Banach spaces. Nonlinear Anal.69, 1402-1412 (2008)

16. Song, Y, Chen, R: Strong convergence theorems on an iterative method for a family of finite non-expansive mappings. Appl. Math. Comput.180, 275-287 (2006)

17. Zegeye, H, Shahzad, N: Strong convergence for monotone mappings and relatively weak nonexpansive mappings. Nonlinear Anal.70, 2707-2716 (2009)

18. Wen, DJ: Projection methods for generalized system of nonconvex variational inequalities with different nonlinear operators. Nonlinear Anal.73, 2292-2297 (2010)

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

20. Takahashi, W, Ueda, Y: On Reich’s strong convergence theorems for resolvents of accretive operators. J. Math. Anal. Appl.104, 546-553 (1984)

21. Zegeye, H, Shahzad, N: Strong convergence of an iterative method for pseudo-contractive and monotone mappings. J. Glob. Optim.54, 173-184 (2012)

22. Suzuki, T: Strong convergence of Krasnoselskii and Mann’s type sequences for one-parameter nonexpansive semigroups without Bochner integrals. J. Math. Anal. Appl.305, 227-239 (2005)

10.1186/1687-1812-2013-273

Cite this article as:Tang:Strong convergence of viscosity approximation methods for the fixed-point of

References

Related documents

Therefore the state and local organizations and administration of specially protected areas should take their consideration on sustainable development of the tourism with policy

Since iron enhances skin lipid peroxidation and generates an oxidative stress in the skin, the higher production of free radicals may be responsible for the

Thus, this paper presents the result of an experimental investigation on predicting surface roughness (Ra) of tool steel using Taguchi’s parameter design and response

Using a large rep- licate data set we found that signal variability in microar- ray data is in fact probe set-specific, and developed a novel method to integrate a priori

To investigate readthrough efficiency after intravenous gentamicin in CF patients with these mutations, in comparison with patients with other stop mutations and without stop

In addition to the sampling properties, one result which becomes obvious from the present analysis is that subnets of the same size can differ quite considerably; and, in par-

In these articles researchers reported using the following differences to the appropriate methods: in two articles a previously published prognostic index was modified by addition of

This is guaranteed to be more cost-effi- cient (produce a better ratio of projected value to cost) than any larger sample size. It therefore cannot be validly criticized as