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An Implicit Iteration Method for Variational Inequalities over the Set of Common Fixed Points for a Finite Family of Nonexpansive Mappings in Hilbert Spaces

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Volume 2011, Article ID 276859,10pages doi:10.1155/2011/276859

Research Article

An Implicit Iteration Method for Variational

Inequalities over the Set of Common Fixed Points

for a Finite Family of Nonexpansive Mappings in

Hilbert Spaces

Nguyen Buong

1

and Nguyen Thi Quynh Anh

2

1Vietnamese Academy of Science and Technology, Institute of Information Technology, 18,

Hoang Quoc Viet, Cau Giay, Ha Noi 122100, Vietnam

2Department of Information Technology, Thai Nguyen National University,

Thainguye 842803, Vietnam

Correspondence should be addressed to Nguyen Buong,[email protected]

Received 17 December 2010; Accepted 7 March 2011 Academic Editor: Jong Kim

Copyrightq2011 N. Buong and N. T. Quynh Anh. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

We introduce a new implicit iteration method for finding a solution for a variational inequality involving Lipschitz continuous and strongly monotone mapping over the set of common fixed points for a finite family of nonexpansive mappings on Hilbert spaces.

1. Introduction

LetCbe a nonempty closed and convex subset of a real Hilbert spaceHwith inner product ·,·and norm · , and letF :HHbe a nonlinear mapping. The variational inequality problem is formulated as finding a pointp∗∈Csuch that

Fp, pp∗≥0,pC. 1.1

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It is well known that ifFis anL-Lipschitz continuous andη-strongly monotone, that is,Fsatisfies the following conditions:

FxF

yLxy,

FxFy, xyηxy2,

1.2

whereLandηare fixed positive numbers, then1.1has a unique solution. It is also known that1.1is equivalent to the fixed-point equation

pPC

pμFp, 1.3

where PC denotes the metric projection from xH onto C and μ is an arbitrarily fixed

positive constant.

Let {Ti}Ni1 be a finite family of nonexpansive self-mappings of C. For finding an elementp∈ ∩N

i1FixTi, Xu and Ori introduced in4the following implicit iteration process. Forx0∈Cand{βk}∞k1⊂0,1, the sequence{xk}is generated as follows:

x1β1x0

1−β1

T1x1,

x2β2x1

1−β2

T2x2,

.. .

xNβNxN−1

1−βN

TNxN,

xN1βN1xN

1−βN1

T1xN1,

.. .

1.4

The compact expression of the method is the form

xkβkxk−1

1−βk

Tkxk, k≥1, 1.5

where Tn TnmodN, for integer n ≥ 1, with the mod function taking values in the set

{1,2, . . . , N}. They proved the following result.

Theorem 1.1. LetHbe a real Hilbert space andCa nonempty closed convex subset ofH. Let{Ti}Ni1 beNnonexpansive self-maps ofCsuch thatN

i1FixTi/, whereFixTi {xC:Tixx}. Let x0∈Cand{βk}∞k1be a sequence in0,1such thatlimk→ ∞βk0. Then, the sequence{xk}defined

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Further, Zeng and Yao introduced in 5 the following implicit method. For an arbitrary initial pointx0∈H, the sequence{xk}∞k1is generated as follows:

x1β1x0

1−β1

T1x1−λ1μFT1x1

,

x2β2x1

1−β2

T2x2−λ2μFT2x2

,

.. .

xNβNxN−1

1−βN

TNxNλNμFTNxN

,

xN1βN1xN

1−βN1

T1xN1−λN1μFT1xN1

,

.. .

1.6

The scheme is written in a compact form as

xkβkxk−1

1−βk

TkxkλkμF

Tkxk

, k≥1. 1.7

They proved the following result.

Theorem 1.2. LetHbe a real Hilbert space andF:HHa mapping such that for some constants

L, η >0,F isL-Lipschitz continuous andη-strongly monotone. Let{Ti}Ni1beNnonexpansive self-maps ofHsuch thatCN

i1FixTi/. Letμ∈0,2η/L2, and letx0∈H, with{λk}∞k1⊂0,1 and {βk}∞k1 ⊂ 0,1 satisfying the conditions: k∞1λk <and αβkβ, k ≥ 1, for some α, β ∈0,1. Then, the sequence{xk}defined by1.7converges weakly to a common fixed point of

the mappings{Ti}Ni1. The convergence is strong if and only iflim infk→ ∞dxk, C 0.

Recently, Ceng et al.6extended the above result to a finite family of asymptotically self-maps.

Clearly, from ∞k1λk < ∞ we have that λk → 0 as k → ∞. To obtain strong

convergence without the condition ∞k1λk < ∞, in this paper we propose the following

implicit algorithm:

xtTtxt, Tt:T0tTNt · · ·T1t, t∈0,1, 1.8

whereTt

i are defined by

Titx1−βitxβitTix, i1, . . . , N, T0ty

IλtμF

y, x, yH, 1.9

I denotes the identity mapping ofH, and the parameters{λt},{βit} ⊂0,1for allt ∈ 0,1

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2. Main Result

We formulate the following facts for the proof of our results.

Lemma 2.1 see 7. ixy2 ≤ x2 2y, x yand for any fixed t ∈ 0,1,

ii 1−txty2 1−tx2ty2−1−ttxy2, for allx, yH.

Putx TxλμFTx, x H, λ 0,1; for any nonexpansive mappingT ofH,

we have the following lemma.

Lemma 2.2see8. xTλy 1λτxy, for allx, y H and for a fixed number μ∈0,2η/L2, whereτ11μ2ημL20,1.

Lemma 2.3Demiclosedness Principle9. Assume thatT is a nonexpansive self-mapping of a closed convex subsetKof a Hibert spaceH. IfT has a fixed point, thenIT is demiclosed; that is, whenever{xk}is a sequence inKweakly converging to somexKand the sequence{ITxk}

strongly converges to somey, it follows thatITxy.

Now, we are in a position to prove the following result.

Theorem 2.4. LetHbe a real Hilbert space andF:HHa mapping such that for some constants

L, η >0,F isL-Lipschitz continuous andη-strongly monotone. Let{Ti}Ni1beNnonexpansive self-maps ofHsuch thatCNi1FixTi/. Letμ∈0,2η/L2and lett∈0,1, {λt},{βit} ⊂0,1,

such that

λt−→0, as t−→0, 0<lim inf t→0β

i

t≤lim sup t→0

βit<1, i1, . . . , N. 2.1

Then, the net{xt}defined by1.8-1.9converges strongly to the unique elementpin1.1.

Proof. By usingLemma 2.2withTt

0, that is,T I, we have that

TtxTty1λ

tτTNt · · ·T1txTNt · · ·T1ty ..

.

≤1−λtτTit· · ·T1txTit· · ·T1ty

.. .

≤1−λtτT1txT1ty≤1−λtτxyx, yH.

2.2

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Next, we show that{xt} is bounded. Indeed, for a fixed pointpC, we have that Tt

ippfori1, . . . , N, and hence

xtpTtx

tpTtxtTNt · · ·T1tp

IλtμF

Tt

N· · ·T1txt

IλtμF

Tt

N· · ·T1tpλtμF

p

≤1−λtτTNt · · ·T1txtTNt · · ·T1tpλtμF

p

≤1−λtτTNt1· · ·T1txtTNt1· · ·T1tpλtμF

p

.. .

≤1−λtτTit· · ·T1txtTit· · ·T1tpλtμF

p

.. .

≤1−λtτT1txtT1tpλtμF

p

≤1−λtτxtpλtμF

p.

2.3

Therefore,

xtp μ τF

p 2.4

that implies the boundedness of{xt}. So, are the nets{FyNt },{yit}, i1, . . . , N.

Put

y1t 1−β1txtβt1T1xt,

y2t 1−β2ty1tβ2tT2y1t,

.. .

yti 1−βityti−1βitTiyti−1,

.. .

yNt

1−βNt

yNt −1βtNTNyNt −1.

2.5

Then,

xt

IλtμF

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Moreover,

xtp2

IλtμF

yNtp

2

ytNp

2 −2λtμ

FyNt

, yNtp

λ22F

yNt

2

ytN−1−p2−2λtμ

FytN, yNt2tμ2FytN2

.. .

yt1−p

2 −2λtμ

FyNt , yNt22F

yNt 2

xtp2−2λtμ

FytN, yNt2tμ2FytN2.

2.7

Thus,

ηyNtp

2

Fp, ytNp

λtμ

2

FyNt

2

. 2.8

Further, for the sake of simplicity, we puty0t xtand prove that

yit−1−Tiyti−1−→0, 2.9

ast → 0 fori1, . . . , N.

Let{tk} ⊂0,1be an arbitrary sequence converging to zero ask → ∞andxk:xtk. We have to prove that yik−1−Tiyki−1 → 0, where yik are defined by2.5with t tk and yikyitk. Let{xl}be a subsequence of{xk}such that

lim sup

k→ ∞

yki−1−Tiyik−1 lim l→ ∞

yli−1−Tiyli−1. 2.10

Let{xkj}be a subsequence of{xl}such that

lim sup

k→ ∞

xkp lim

j→ ∞

xkjp

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From2.6andLemma 2.1, it implies that

xkjp

2 IλkjμF

yN kjp

2

yNkjp2−2λkjμ

FykNj, xkjp

1−βNkjykNj−1−kNjTNykNj−1−TNp

2

−2λkjμ

FykNj, xkjp

≤1−βNkjyNkj−1−p2βkNjTNyNkj−1−TNp 2

−2λkjμ

FykNj, xkjp

yNkj−1−p2−2λkjμ

FyNkj, xkjp

≤ · · · ≤yk1jp2−2λkjμ

FyNkj, xkjp

xkjp

2−2λkjμ

FyNkj, xkjp

.

2.12

Hence,

lim

j→ ∞

xkjp

lim

j→ ∞

yikjp, i1, . . . , N. 2.13

ByLemma 2.1,

yi

kjp

21−βi kj

yi−1

kjp 2βi

kj

Tiykij1−p

2

βikj1−βikjykij1−Tiyikj1

2

≤1−βikjyikj1−p2βikjykij1−p2

βikj1−βikjykij1−Tiyikj1

2

ykij1−p2−βikj1−βkijykij1−Tiyikj1 2

≤ · · ·y0kjp2−βikj1−βkijykij1−Tiyikj1

2

xkjp 2−βi

kj

1−βi

kj yi−1

kjTiy

i−1

kj

2, i1, . . . , N.

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Without loss of generality, we can assume thatαβitβfor someα, β∈0,1. Then, we have

α1−βykij1−Tiykij1

2

xkjp

2−ykijp2. 2.15

This together with2.13implies that

lim

j→ ∞

yikj1−Tiykij1

2

0, i1, . . . , N. 2.16

It means thatyi−1

tTiyit−1 → 0 ast → 0 fori1, . . . , N.

Next, we show thatxtTixt → 0 ast → 0. In fact, in the case thati 1 we have y0t xt. So,xtT1xt → 0 ast → 0. Further, since

y1

tT1xt

1−β1

t

xtT1xt, 2.17

andxtT1xt → 0, we have thaty1tT1xt → 0. Therefore, from

xty1txtT1xtT1xtyt1, 2.18

it follows thatxty1t → 0 ast → 0. On the other hand, since

y2tT2y1t

1−βt2yt1−T2yt1−→0,

yt2−xt

1−βt2yt1−xtβ2tT2yt1−xt

≤1−βt2yt1−xtβ2tT2yt1−yt1yt1−xt,

2.19

we obtain thaty2

txt → 0 ast → 0. Now, from

xtT2xtxtyt2yt2−T2yt1T2yt1−T2xt

xtyt2yt2−T2yt1yt1−xt,

2.20

andxty2t,y2tT2y1t,y1txt → 0, it follows thatxtT2xt → 0. Similarly, we obtain

thatxtTixt → 0, fori1, . . . , NandyNtxt → 0 ast → 0.

Let {xk} be any sequence of {xt} converging weakly top ask → ∞. Then, xkTixk → 0, fori 1, . . . , Nand{ykN}also converges weakly top. ByLemma 2.3, we have

pCN

i1FixTiand from2.8, it follows that

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Sincep,pC, by replacingpbytp 1−tpin the last inequality, dividing bytand taking

t → 0 in the just obtained inequality, we obtain

Fp, pp≥0 ∀pC. 2.22

The uniqueness ofp∗in1.1guarantees that p p∗. Again, replacingpin2.8byp∗, we obtain the strong convergence for{xt}. This completes the proof.

3. Application

Recall that a mappingS : HHis called aγ-strictly pseudocontractive if there exists a constantγ ∈0,1such that

SxSy2

xy2γISxISy2,x, yH. 3.1

It is well known10that a mappingT :HHbyTxαx1−αSxwith a fixedαγ,1 for allxHis a nonexpansive mapping and FixT FixS. Using this fact, we can extend our result to the caseCNi1FixSi, whereSiisγi-strictly pseudocontractive as follows.

Letαiγi,1be fixed numbers. Then,CNi1FixTiwithTiyαiy 1−αiSiy, a

nonexpansive mapping, fori1, . . . , N, and hence

Tity1−βtiyβitTiy

1−βit1−αi

yβit1−αiSiy, i1, . . . , N.

3.2

So, we have the following result.

Theorem 3.1. Let H be a real Hilbert space and F : HH a mapping such that for some constantsL, η >0,FisL-Lipschitz continuous andη-strongly monotone. Let{Si}Ni1beN γi-strictly

pseudocontractive self-maps ofHsuch thatCNi1FixSi/. Letαiγi,1, μ∈0,2η/L2and

lett∈0,1,{λt},{βti} ⊂0,1, such that

λt−→0, ast−→0, 0<lim inf t→0β

i

t≤lim sup t→0

βti<1, i1, . . . , N. 3.3

Then, the net{xt}defined by

xtTtxt, Tt:T0tTNt · · ·T1t, t∈0,1, 3.4

whereTt

i, fori 1, . . . , N, are defined by3.2andT0tx IλtμFx, converges strongly to the

unique elementpin1.1.

It is known in11that FixS CwhereS Ni1ξiSi withξi > 0 and Ni1ξi 1

forN γi-strictly pseudocontractions{Si}iN1. Moreover,Sisγ-strictly pseudocontractive with

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Theorem 3.2. Let H be a real Hilbert space and F : HH a mapping such that for some constants L, η > 0, F is L-Lipschitz continuous and η-strongly monotone. Let{Si}Ni1 beN γi

-strictly pseudocontractive self-maps of H such that CN

i1FixSi/. Let αγ,1, where

γmax{γi : 1≤iN}∈0,2η/L2, and lett∈0,1,{λt},{βt} ⊂0,1, such that

λt−→0, ast−→0, 0<lim inf

t→0βt≤lim supt0βt<1. 3.5

Then, the net{xt}, defined by

xtTtxt, Tt:T0t

1−βt1−α

Iβt1−α N

i1

ξiSi

, t∈0,1, 3.6

whereT0t IλtμF,ξi>0, and Ni1ξi1, converges strongly to the unique elementpin1.1.

Acknowledgment

This work was supported by the Vietnamese National Foundation of Science and Technology Development.

References

1 D. Kinderlehrer and G. Stampacchia,An Introduction to Variational Inequalities and Their Applications, vol. 88 ofPure and Applied Mathematics, Academic Press, New York, NY, USA, 1980.

2 R. Glowinski,Numerical Methods for Nonlinear Variational Problems, Springer Series in Computational Physics, Springer, New York, NY, USA, 1984.

3 E. Zeidler,Nonlinear Functional Analysis and Its Applications. III, Springer, New York, NY, USA, 1985.

4 H.-K. Xu and R. G. Ori, “An implicit iteration process for nonexpansive mappings,” Numerical Functional Analysis and Optimization, vol. 22, no. 5-6, pp. 767–773, 2001.

5 L.-C. Zeng and J.-C. Yao, “Implicit iteration scheme with perturbed mapping for common fixed points of a finite family of nonexpansive mappings,”Nonlinear Analysis. Theory, Methods & Applications, vol. 64, no. 11, pp. 2507–2515, 2006.

6 L.-C. Ceng, N.-C. Wong, and J.-C. Yao, “Fixed point solutions of variational inequalities for a finite family of asymptotically nonexpansive mappings without common fixed point assumption,”

Computers & Mathematics with Applications, vol. 56, no. 9, pp. 2312–2322, 2008.

7 G. Marino and H.-K. Xu, “Weak and strong convergence theorems for strict pseudo-contractions in Hilbert spaces,”Journal of Mathematical Analysis and Applications, vol. 329, no. 1, pp. 336–346, 2007.

8 Y. Yamada, “The hybrid steepest-descent method for variational inequalities problems over the intesectionof the fixed point sets of nonexpansive mappings,” in Inhently Parallel Algorithms in Feasibility and Optimization and Their Applications, D. Butnariu, Y. Censor, and S. Reich, Eds., pp. 473– 504, North-Holland, Amsterdam, Holland, 2001.

9 K. Goebel and W. A. Kirk,Topics in Metric Fixed Point Theory, vol. 28 ofCambridge Studies in Advanced Mathematics, Cambridge University Press, Cambridge, UK, 1990.

10 H. Zhou, “Convergence theorems of fixed points forκ-strict pseudo-contractions in Hilbert spaces,”

Nonlinear Analysis. Theory, Methods & Applications, vol. 69, no. 2, pp. 456–462, 2008.

11 G. L. Acedo and H.-K. Xu, “Iterative methods for strict pseudo-contractions in Hilbert spaces,”

References

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