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General

System

of

Split

Monotonic Variational Inclusion

Problem with Applications

Zenn-Tsun

Yu1,

Lai-Jiu

Lin2

Abstract

In this paper, weapply theconvergence theoremofthe multiply sets split

feasibilityproblem to study theconvergence theorems ofthe following

prob-lems: The split feasibility problem; the general system of split monotonic

variational inclusion problem; thegeneral system ofsplit equilibrium

prob-lem; the system ofsplit equilibrium problem; the split multiply equilibrium

problem; the split equilibrium problem; the general system of split

varia-tionalinequality problem; thesystemofsplitvariational inequalityproblem;

thesplitvariational inequalityproblem. We establish iteration processes and

prove strong convergence theorems of these problems.

Keywords: the general system of split monotonic variational inclusion problem;

the general system of split equilibrium problem; fixed point problem; the

gen-eral system of split variational inequality problem; mathematical programming;

quadratic

function

programming.

1

Introduction

Thesplit feasibilityproblem (SFP) in finite dimensional Hilbert spaceswasfirst

in-troduced by

Censor

and Elfving [1] for modeling inverse problemswhich arise from

phase retrievals and in medical image reconstruction. Since then, the split

feasi-bility problem (SFP) has received much attention dueto its applications in signal

processing, image reconstruction, with particular progress in intensity-modulated

1 Department of Electronic Engineering, NanKai Universityof

Technology, Nantou 542,

Tai-wan; $E$-mail: [email protected]

2Department of Mathematics,NationalChanghua

University ofEducation, Changhua, 50058,

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radiation therapy, approximation theory, control theory, biomedical engineering,

communications, and geophysics. For example,

one can see

[2, 3, 4, 5, 6, 7].

Variational inequality theory has been studied quite extensively and has emerged

as

an essential tool in the study of a wide class of obstacle, free moving,

equilib-rium problem. It also has many applications in the optimization theory. Recently,

Cai and Bu [8] considered the following systems ofvariational inequalities in the

smooth Banach space X, which involves finding

$\{\begin{array}{ll}Find \overline{x}\in C, \overline{y}\in C such that \langle rT_{2}\overline{x}+\overline{y}-\overline{x}, J(x-y \geq 0, (1.1)\langle\lambda\Upsilon_{1}\overline{y}+\overline{x}-\overline{y}, J(x-x \geq 0 \end{array}$

for all $x\in C$, where $\mu_{1}$ and $\mu_{2}$

are

two positive constants, $C$ is

a

nonempty closed

convex

subset of$X,$ $T_{1},$$T_{2}$ : $Carrow X$

are

two nonlinear mappings, $J$is the

normal-ized duality mappings. For the recent trends and developments

as

problem (1.1)

and its special cases, one can see [9, 10, 11, 12].

Let $C$ and $Q$ be nonempty closed convex subsets of real Hilbert spaces $H_{1}$ and

$H_{2}$, respectively. For each $i=1$ , 2, let $\epsilon_{i}>0$, let $\Upsilon_{i}$ be a $\epsilon_{i}-inverse$-strongly

monotone mapping of $C$ into $H_{1}$, let $\delta>0,$ $\delta’>0$, let $B$ be a $\delta-inverse$-strongly

monotone mapping of$Q$into$H_{2}$, let$B’$ bea$\delta’$-inverse-strongly

monotone mapping of$Q$ into $H_{2}$

.

For each$i=1$,2, let $\Phi_{i}$ be a maximal monotonemapping

on

$H_{1}$ such

that the domain of$\Phi_{i}$ is included in $C$

.

Let $G,$ $G’$ be maximal monotone mapping

on

$H_{2}$ such that the domain of$G,$ $G’$

are

included in $Q$. Throughout this paper,

we

use these notations and assumptions unless specify otherwise.

We know that the equilibrium problem is to find $z\in C$ such that

(EP) $g(z, y)\geq 0$ for each $y\in C,$

where $g$ : $C\cross Carrow \mathbb{R}$ is a bifunction. This problem includes fixed point

prob-lems, optimization problems, variational inequality problems, Nash equilibrium

problems, minimax inequalities, and saddle point problems as special cases. (For

examples,

one

can

see

[13] and related literatures.)

To the best of

our

knowledge, thereis

no

result

on

thesystemsofsplitvariational

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Motive

by the the above problems, in

this paper,

we

apply

the

convergence

theorem of the multiply sets split feasibility problem to study the convergence

theorems of the following problems: The split feasibilityproblem; thegeneral

sys-tem of split monotonic variational inclusion problem; the general system ofsplit

equilibrium problem; the system of split equilibrium problem; the split multiply

equilibrium problem; the split equilibrium problem; the general system of split

variational inequality problem; the system of split variational inequality problem;

the split variational inequality problem. We establishiteration processes and prove

strong

convergence

theorems of these problems.

2

Preliminaries

Throughout this paper, let $H$be$a$ (real) Hilbert spacewith inner product $\rangle$ and

norm

$||$

.

respectively and $C$ be

a

nonempty closed

convex

subset of$H.$

For $\alpha>0$,

a

mapping $A$ : $Harrow H$ is called $\alpha-inverse$-strongly monotone

($\alpha$-ism) if

$\langle x-y, Ax-Ay\rangle\geq\alpha\Vert Ax-Ay\Vert^{2}, \forall x, y\in H.$

A mapping $T:Carrow H$ is said to be

a

firmly nonexpansive mapping if

$||Tx-Ty||^{2}\leq||x-y||^{2}-||(I-T)x-(I-T)y||^{2}$

for every $x,$$y\in C$. Let $T$ : $Carrow H$ be

a

mapping. Then $p\in C$ is called

an

asymptotic fixed point of $T[14]$ if there exists $\{x_{n}\}\subseteq C$ such that $x_{n}arrow p$, and

$\lim_{narrow\infty}\Vert x_{n}-Tx_{n}\Vert=0$

.

We denote by $F(\hat{T})$ the set of asymptotic fixed points of

$T$

.

A mapping $T:Carrow H$ is said to be demiclosed if it satisfies $F(T)=F(\hat{T})$.

A multi-valued mapping $B$is saidto be

a

monotone operator

on

$H$if $\langle x-y,$$u-$

$v\rangle\geq 0$ for all $x,$$y\in D(B)$,$u\in Bx$, and $v\in By$

.

A monotone operator $B$

on

$H$ is

said to bemaximal ifits graph is not properly contained in the graph ofany other

monotone operator on $H$

.

For

a

maximal monotone operator $B$ on $H$ and $r>0,$

we may define

a

single-valued operator $J_{r}=(I+rB)^{-1}$ : $Harrow D(B)$, which is

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Lemma 2.1.

[15] Let $C$be

a

nonempty closed

convex

subset of

a

Hilbert space $H$

and let $g:C\cross Carrow \mathbb{R}$ be

a

bifunctionsatisfying the conditions $(A1)-(A4)$. Define

$A_{g}$

as

follows:

(L4.1) $A_{9}x=\{\begin{array}{l}\{z\in H:g(x, y)\geq\langle y-x, z\rangle, \forall y\in C\}, \forall x\in C\emptyset, \forall x\not\in C.\end{array}$

Then, $EP(g)=A_{9}^{-1}0$ and$A_{g}$is

a

maximal monotone operatorwith the domain

of$A_{g}\subset C$

.

Furthermore, for any $x\in H$ and $r>0$, the resolvent $T_{r}^{g}$ of$g$ coincides

with the resolvent of$A_{g}$, i.e., $T_{r}^{g}x=(I+rA_{g})^{-1}x.$

3

Convergence Theorems of Hierarchical Problems

For each $i=1$, 2, 3, let $H_{i}$ be a real Hilbert space, $G_{i}$ be

a

maximal monotone

mapping on $H_{1}$ such that the domain of$G_{i}$ is included in $C$. Let $J_{\lambda}^{G_{i}}=(I+\lambda G_{i})^{-1}$

foreach$\lambda>0$

.

Let $\{\theta_{n}\}\subset H_{1}$ be

a

sequence. Let$V$ bea$\overline{\gamma}$-stronglymonotoneand

$L$-Lipschitzian continuous operator with $\overline{\gamma}>0$ and $L>$ O. Let $T:Carrow H_{1}$ be

aquasi-nonexpansive mapping with Fix$(T)=Fix(\hat{T})$

.

Let $C$ and $Q$ be nonempty

closed

convex

subsets of real Hilbert spaces $H_{1}$ and $H_{2}$, respectively. Let $F_{1}$ be

a firmly nonexpansive mappings of $H_{2}$ into $H_{2}$ and $F_{2}$ be a firmly nonexpansive

mappings of $H_{3}$ into $H_{3}$

.

Let $A_{1}$ : $H_{1}arrow H_{2}$ and $A_{2}$ : $H_{1}arrow H_{3}$ be bounded linear

operators. Let$A_{1}^{*}$ be the adjoint of$A_{1}$ and$A_{2}^{*}$be theadjointof$A_{2}$. Let $I$ : $H_{1}arrow H_{1}$

be

a

identity mapping, and let $I_{i}$ : $H_{i+1}arrow H_{i+1}$ be

a

identity mapping for$i=1$,2.

Throughout this paper,

we use

these notations and assumptions unless specify

otherwise.

Now,

we

recall the following multiplesetssplit feasibility problem (MSSFP–firmily):

Find $\overline{x}\in H_{1}$ such that $A_{1}\overline{x}\in Fix(F_{1})$ and $A_{2}\overline{x}\in Fix(F_{2})$.

Let $\Omega$ is a solution of (MSSFP–firmily).

With the same proof as Theorem 3.3 in [16], we have the following theorem

which is slightly different from Theorem 3.3 in [16] is an important tool in this

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Theorem 3.1. [16] Suppose that $\Delta=:Fix(T)\cap\Omega\cap Fix(J_{\lambda_{n}}^{G_{1}})\cap Fix(J_{r_{n}}^{G_{2}})\neq\emptyset.$

Let $\{x_{n}\}\subset H$ be defined by

(3.1) $\{\begin{array}{l}x_{1}\in C chosen arbitrarily,y_{n}=J_{\lambda_{n}}^{G_{1}}(I-\lambda_{n}A_{1}^{*}(I_{1}-F_{1})A_{1})J_{r_{\mathfrak{n}}}^{G_{2}}(I-r_{n}A_{2}^{*}(I_{2}-F_{2})A_{2})x_{n},s_{n}=Ty_{n},x_{n+1}=\alpha_{n}x_{n}+(1-\alpha_{n})(\beta_{n}\theta_{n}+(1-\beta_{n}V)s_{n})\end{array}$

for each $n\in \mathbb{N},$ $\{\lambda_{n}\}\subset(0, \infty)$, $\{\alpha_{n}\}\subset(0,1)$, $\{\beta_{n}\}\subset(0,1)$, and $\{r_{n}\}\subset(0, \infty)$.

Assume

that:

(i) $0< \lim\inf_{narrow\infty}\alpha_{n}\leq\lim\sup_{narrow\infty}\alpha_{n}<1$;

(ii) $\lim_{narrow\infty}\beta_{n}=0$, and $\sum_{n=1}^{\infty}\beta_{n}=\infty$;

(iii) $0<a \leq\lambda_{n}\leq b<\frac{2}{\Vert A_{1}\Vert^{2}+2}$, and $0<a \leq r_{n}\leq b<\frac{2}{\Vert A_{2}\Vert^{2}+2}$;

(iv) $\lim_{narrow\infty}\theta_{n}=\theta$ for

some

$\theta\in H.$

Then$\lim_{narrow\infty}x_{n}=\overline{x}$, where$\overline{x}=P_{\Delta}(\overline{x}-V\overline{x}+\theta)$

.

Thispoint $\overline{x}$

is also

a

uniquesolution

of the following hierarchical problem: Find $\overline{x}\in\triangle$ such that

$\langle V\overline{x}-\theta,$$q-\overline{x}\rangle\geq 0$ for all $q\in\triangle.$

Remark 3.1. Theorem

3.3

[16]

assumes

that $F_{2}$ is an firmly nonexpansive on $H_{2}$

and $A_{2}:H_{1}arrow H_{2}$ ia

a

bounded linearoperator, but Theorem

3.1

assumes

that $F_{2}$

is an firmly nonexpansive on $H_{3}$ and $A_{2}$ : $H_{1}arrow H_{3}$ ia

a

bounded linear operator.

Now, werecall thefollowingsplit fixed point problem (SFP–nonexpansive):

Find $\overline{x}\in H_{1}$ such that $\overline{x}\in Fix(\Psi)$ and $A_{1}\overline{x}\in Fix(\Psi_{1})$.

where $\Psi_{1}$ is

a

nonexpansive mapping of $H_{2}$ into $H_{2}$ and $\Psi$ is

a nonexpansive

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Theorem 3.2. Let $\Psi_{1}$ be

a

nonexpansive mapping of $H_{2}$ into $H_{2}$, let $\Psi$ be a

nonexpansive mapping of$H_{1}$ into $H_{1}$. Suppose that

$\triangle_{1}=:Fix(T)\cap\Omega_{1}\cap Fix(J_{\lambda_{n}}^{G_{1}})\cap Fix(J_{r_{n}}^{G_{2}})\neq\emptyset.$

Let $\{x_{n}\}\subset H$ be defined by

(3.2) $\{\begin{array}{l}x_{1}\in C chosen arbitrarily,y_{n}=J_{\lambda_{n}}^{G_{1}}(I-\lambda_{n}A_{1}^{*}(I_{1}-\Psi_{1})A_{1})J_{r_{n}}^{G_{2}}(I-r_{n}(I-\Psi))x_{n},\mathcal{S}_{n}=Ty_{n},x_{n+1}=\alpha_{n}x_{n}+(1-\alpha_{n})(\beta_{n}\theta_{n}+(1-\beta_{n}V)s_{n})\end{array}$

for each $n\in \mathbb{N},$ $\{\lambda_{n}\}\subset(0, \infty)$, $\{\alpha_{n}\}\subset(0,1)$, $\{\beta_{n}\}\subset(0,1)$, and $\{r_{n}\}\subset(0, \infty)$.

Assume that:

(i) $0< \lim\inf_{narrow\infty}\alpha_{n}\leq\lim\sup_{narrow\infty}\alpha_{n}<1$;

(ii) $\lim_{narrow\infty}\beta_{n}=0$, and $\sum_{n=1}^{\infty}\beta_{n}=\infty$;

(iii) $0<a \leq\lambda_{n}\leq b<\frac{1}{\Vert A_{1}\Vert^{2}+2}$, and $0<a \leq r_{n}\leq b<\frac{1}{3}$;

(iv) $\lim_{narrow\infty}\theta_{n}=\theta$ for

some

$\theta\in H.$

Then $\lim_{narrow\infty}x_{n}=\overline{x}$, where $\overline{x}=P_{\triangle_{1}}(\overline{x}-V\overline{x}+\theta)$. This point

$\overline{x}$

is also a unique

solution of the following hierarchical problem: Find $\overline{x}\in\triangle_{1}$ such that

$\langle V\overline{x}-\theta,$$q-\overline{x}\rangle\geq 0$, for all $q\in\triangle_{1}.$

4

Applications

to

General System of Split

Monotonic

Vari-ational Inclusion Problems

Let$C$ and $Q$ be nonempty closed convexsubsets of real Hilbert spaces $H_{1}$ and $H_{2},$

respectively. For each $i=1$,2, let $\epsilon_{i}>0$, let $\Upsilon_{i}$ be

a

$\epsilon_{i}$-inverse-strongly monotone

mapping of $C$ into $H_{1}$, let $\delta>0,$ $\delta’>0$, let $B$ be

a

$\delta-inverse$-strongly monotone

mapping of $Q$ into $H_{2}$, let $B’$ be a $\delta’$

-inverse-strongly monotone mapping of $Q$

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the domain of $\Phi_{i}$ is included in $C$

.

Let $G,$ $G’$ be maximal monotone mapping

on

$H_{2}$ such that the domain of $G,$ $G’$

are

included in $Q$

.

Throughout this paper, we

use

these notations and assumptions unless specify otherwise. In this paper,

we

consider the following

common

solution problem.

(i) We consider thegeneralsystemofsplit monotonicvariational inclusion

prob-lem (GSSMVIP):

Find $\overline{x}\in H_{1}$ such that $\overline{x}\in Fix(J_{\lambda}^{\Phi_{1}}(I-\lambda\Upsilon_{1})J_{r}^{\Phi_{2}}(I-r\Upsilon_{2}$

and

$\overline{u}=A_{1}\overline{x}\in H_{2}$ such that $\overline{u}\in Fix(J_{\sigma}^{G}(I_{1}-\sigma B)J_{\rho}^{G’}(I_{1}-\rho B$

Let GSSMVI$(\Phi_{1}, \Phi_{2}, G, G’)$ bethe solutionset ofgeneralsystem ofsplit

mono-tonic variational inclusion problem (GSSMVIP).

Theorem 4.1. Let $C$ and$Q$ betwononempty closed

convex

subsets ofreal Hilbert

spaces $H_{1}$ and $H_{2}$, respectively. Suppose that

$\Pi=:Fix(T)\cap GSSMVI(\Phi_{1}, \Phi_{2}, G, G’)\cap Fix(J_{\lambda_{n}}^{G_{1}})\cap Fix(J_{r_{n}}^{G_{2}})\neq\emptyset.$

Let $\{x_{n}\}\subset H$ be defined by

(4.1) $\{\begin{array}{l}x_{1}\in C chosen arbitrarily,y_{n}=J_{\lambda_{n}}^{G_{1}}(I-\lambda_{n}A_{1}^{*}(I_{1}-\Psi_{1})A_{1})J_{r_{n}}^{G_{2}}(I-r_{n}(I-\Psi))x_{n},s_{n}=Ty_{n},x_{n+1}=\alpha_{n}x_{n}+(1-\alpha_{n})(\beta_{n}\theta_{n}+(1-\beta_{n}V)s_{n})\end{array}$

where $\Psi_{1}=J_{\sigma}^{G}(I_{1}-\sigma B)J_{\rho}^{G’}(I_{1}-\rho B$ $\Psi=J_{\lambda}^{\Phi_{1}}(I-\lambda\Upsilon_{1})J_{r}^{\Phi_{2}}(I-r\Upsilon_{2})$ for each

$n\in \mathbb{N},$ $\{\lambda_{n}\}\subset(0, \infty)$, $\{\alpha_{n}\}\subset(0,1)$, $\{\beta_{n}\}\subset(0,1)$, and $\{r_{n}\}\subset(0, \infty)$. Assume

that:

(i) $0< \lim\inf_{narrow\infty}\alpha_{n}\leq\lim\sup_{narrow\infty}\alpha_{n}<1$;

(ii) $\lim_{narrow\infty}\beta_{n}=0$, and $\sum_{n=1}^{\infty}\beta_{n}=\infty$;

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(iv) $0<\lambda<2\epsilon_{1},$ $0<r<2\epsilon_{2},$ $0<\sigma<2\delta$, and $0<\rho<2\delta’$;

(v) $\lim_{narrow\infty}\theta_{n}=\theta$ for

some

$\theta\in H.$

Then$\lim_{narrow\infty}x_{n}=\overline{x}$, where$\overline{x}=P_{\Pi}(\overline{x}-V\overline{x}+\theta)$. This point

$\overline{x}$ is alsoaunique solution

of the following hierarchical problem: Find $\overline{x}\in\Pi$ such that

$\langle V\overline{x}-\theta,$$q-\overline{x}\rangle\geq 0$ for all $q\in\Pi.$

(ii) For $i=1$, 2, let $f_{i}$ : $C\cross Carrow \mathbb{R}$ be a bifunction satisfying the conditions

$(A1)-(A4)$ and let $g_{i}$ : $Q\cross Qarrow \mathbb{R}$ be

a

bifunction satisfying the conditions $(A1)-$

(A4). We study the generalsystem of split equilibrium problem (GSSEP):

$\{\begin{array}{l}Find \overline{x}\in H_{1}, \overline{y}\in H_{1} such thatf_{2}(\overline{y}, x)+\frac{1}{r}\langle\overline{y}-x, \overline{x}-\overline{y}\rangle-\langle\overline{y}-x, \Upsilon_{2}\overline{x}\rangle\geq 0,f_{1}(\overline{x}, x)+\frac{1}{\lambda}\langle\overline{x}-x, \overline{y}-\overline{x}\rangle-\langle\overline{x}-x, \Upsilon_{1}\overline{y}\rangle\geq 0\end{array}$

for all $x\in C$, and

$\{\begin{array}{l}\overline{u}=A_{1}\overline{x}\in H_{2}, \overline{v}\in H_{2} such thatg_{2}(\overline{v}, u)+\frac{1}{\rho}\langle\overline{v}-u, \overline{u}-\overline{v}\rangle-\langle\overline{v}-u, B’\overline{u}\rangle\geq 0,91 (\overline{u}, u)+\frac{1}{\sigma}\langle\overline{u}-u, \overline{v}-\overline{u}\rangle-\langle\overline{u}-u, B\overline{v}\rangle\geq 0\end{array}$

for all $u\in Q$

Let GSSEP$(f_{1}, f_{2}, \Upsilon_{1}, T_{2}, g_{1}, g_{2}, B, B’)$ be the solution set of general system of

split equilibrium problem (GSSEP).

Theorem 4.2. Let $C$ and$Q$be two nonempty closed

convex

subsets of real Hilbert

spaces $H_{1}$ and $H_{2}$, respectively. For each $i=1$, 2, let $A_{f_{i}},$$A_{g_{i}}$ defined as (L4.1) in

Lemma 2.1. Suppose that

$\Pi_{2}=:Fix(T)\cap GSSEP(f_{1}, f_{2}, \Upsilon_{1}, T_{2}, g_{1}, g_{2}, B, B’)\cap Fix(J_{\lambda_{n}}^{G_{1}})\cap Fix(J_{r_{n}}^{G_{2}})\neq\emptyset.$

Let $\{x_{n}\}\subset H$ be defined by

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where $\Psi_{1}=J_{\sigma}^{A_{g_{1}}}(I_{1}-\sigma B)J_{\rho}^{A_{g_{2}}}(I_{1}-\rho B’)$

, $\Psi=J_{\lambda}^{A_{f_{1}}}(I-\lambda\Upsilon_{1})J_{r}^{A_{f_{2}}}(I-r\Upsilon_{2})$ for each $n\in \mathbb{N},$ $\{\lambda_{n}\}\subset(0, \infty)$, $\{\alpha_{n}\}\subset(0,1)$, $\{\beta_{n}\}\subset(0,1)$, and $\{r_{n}\}\subset(0, \infty)$

.

Assume

that:

(i) $0< \lim\inf_{narrow\infty}\alpha_{n}\leq\lim\sup_{narrow\infty}\alpha_{n}<1$;

(ii) $\lim_{narrow\infty}\beta_{n}=0$, and $\sum_{n=1}^{\infty}\beta_{n}=\infty$;

(iii) $0<a \leq\lambda_{n}\leq b<\frac{1}{\Vert A_{1}\Vert^{2}+2}$, and $0<a \leq r_{n}\leq b<\frac{1}{3}$;

(iv) $0<\lambda<2\epsilon_{1},$ $0<r<2\epsilon_{2},$ $0<\sigma<2\delta$, and $0<\rho<2\delta’$;

(v) $\lim_{narrow\infty}\theta_{n}=\theta$ for

some

$\theta\in H.$

Then $\lim_{narrow\infty}x_{n}=\overline{x}$, where $\overline{x}=P_{\Pi_{2}}(\overline{x}-V\overline{x}+\theta)$. This point $\overline{x}$ is also

a

unique

solution of the following hierarchical problem: Find $\overline{x}\in\Pi_{2}$ such that

$\langle V\overline{x}-\theta,$$q-\overline{x}\rangle\geq 0$for all $q\in\Pi_{2}.$

(iii) In the following theorem,

we

study the split multiple equilibrium problem

(SMEP):

$\{\begin{array}{l}Find \overline{x}\in H_{1} such thatf_{1}(\overline{x}, x)\geq 0, f_{2}(\overline{x}, x)\geq 0\end{array}$

for all $x\in C$, and

$\{\begin{array}{l}\overline{u}=A_{1}\overline{x}\in H_{2} such thatg_{1}(\overline{u}, u)\geq 0, g_{2}(\overline{u}, u)\geq 0\end{array}$

for all $u\in Q.$

Let SMEP$(f_{1}, f_{2}, g_{1}, g_{2})$ be the solution set ofsplit multiple equilibrium problem

(SMEP).

Theorem 4.3. Let$C$ and$Q$ betwononempty closed

convex

subsets of realHilbert

spaces $H_{1}$ and $H_{2}$, respectively. For each $i=1$,2, let $A_{f_{i}},$$A_{g_{i}}$ defined as (L4.1) in

Lemma 2.1. Suppose that

$\Pi_{5}=:Fix(T)\cap SMEP(f_{1}, f_{2}, g_{1}, g_{2})\cap Fix(J_{\lambda_{n}}^{G_{1}})\cap Fix(J_{r_{n}}^{G_{2}})\neq\emptyset.$

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(4.5) $\{\begin{array}{l}x_{1}\in C chosen arbitrarily,y_{n}=J_{\lambda_{n}}^{G_{1}}(I-\lambda_{n}A_{1}^{*}(I_{1}-\Psi_{1})A_{1})J_{r_{n}}^{G_{2}}(I-r_{n}(I-\Psi))x_{n},s_{n}=Ty_{n},x_{n+1}=\alpha_{n}x_{n}+(1-\alpha_{n})(\beta_{n}\theta_{n}+(1-\beta_{n}V)s_{n})\end{array}$

where$\Psi_{1}=J_{\sigma}^{A_{g_{1}}}J_{\rho}^{A_{92}},$ $\Psi=J_{\lambda}^{A_{f_{1}}}J_{r}^{A_{f_{2}}}$ for

each$n\in \mathbb{N},$ $\{\lambda_{n}\}\subset(0, \infty)$, $\{\alpha_{n}\}\subset(0,1)$, $\{\beta_{n}\}\subset(0,1)$, and $\{r_{n}\}\subset(0, \infty)$. Assume that:

(i) $0< \lim\inf_{narrow\infty}\alpha_{n}\leq\lim\sup_{narrow\infty}\alpha_{n}<1$;

(ii) $\lim_{narrow\infty}\beta_{n}=0$, and $\sum_{n=1}^{\infty}\beta_{n}=\infty$;

(iii) $0<a \leq\lambda_{n}\leq b<\frac{1}{\Vert A_{1}\Vert^{2}+2}$, and $0<a \leq r_{n}\leq b<\frac{1}{3}$;

(v) $\lim_{narrow\infty}\theta_{n}=\theta$ for

some

$\theta\in H.$

Then $\lim_{narrow\infty}x_{n}=\overline{x}$, where $\overline{x}=P_{\Pi_{5}}(\overline{x}-V\overline{x}+\theta)$. This point $\overline{x}$ is also

a

unique

solution of the following hierarchical problem: Find $\overline{x}\in\Pi_{5}$ such that

$\langle V\overline{x}-\theta,$$q-\overline{x}\rangle\geq 0$ for all $q\in\Pi_{5}.$

(iv) In the following theorem,

we

study the general system of split variational

inequalityproblem (GSSVIP) :

$\{\begin{array}{l}Find \overline{x}\in H_{1}, \overline{y}\in H_{1} such that\langle r\Upsilon_{2}\overline{x}+\overline{y}-\overline{x}, x-\overline{y}\rangle\geq 0,\langle\lambda T_{1}\overline{y}+\overline{x}-\overline{y}, x-\overline{x}\rangle\geq 0\end{array}$

for all $x\in C$, and

$\{\begin{array}{l}\overline{u}=A_{1}\overline{x}\in H_{2}, \overline{v}\in H_{2} such that\langle\rho B’\overline{u}+\overline{v}-\overline{u}, u-\overline{v}\rangle\geq 0,\langle\sigma B\overline{v}+\overline{u}-\overline{v}, u-\overline{u}\rangle\geq0\end{array}$

for all $u\in Q$. Let GSSVI$(T_{1}, T_{2}, B, B’)$ be the solution set of system of split

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Theorem 4.4. Let$C$ and$Q$ betwo nonempty closed

convex

subsets

of

real Hilbert

spaces

$H_{1}$ and $H_{2}$, respectively. Suppose that

$\Pi_{7}=:Fix(T)\cap GSSVI(T_{1}, T_{2}, B, B’)\cap Fix(J_{\lambda_{n}}^{G_{1}})\cap Fix(J_{r_{n}}^{G_{2}})\neq\emptyset.$

Let $\{x_{n}\}\subset H$ be defined by

(4.7) $\{\begin{array}{l}x_{1}\in C chosen arbitrarily,y_{n}=J_{\lambda_{n}}^{G_{1}}(I-\lambda_{n}A_{1}^{*}(I_{1}-\Psi_{1})A_{1})J_{r_{n}}^{G_{2}}(I-r_{n}(I-\Psi))x_{n},\mathcal{S}_{n}=Ty_{n},x_{n+1}=\alpha_{n}x_{n}+(1-\alpha_{n})(\beta_{n}\theta_{n}+(1-\beta_{n}V)s_{n})\end{array}$

where $\Psi_{1}=P_{Q}(I_{1}-\sigma B)P_{Q}(I_{1}-\rho B$ $\Psi=P_{C}(I-\lambda\Upsilon_{1})P_{C}(I-r\Upsilon_{2})$ for each $n\in \mathbb{N},$ $\{\lambda_{n}\}\subset(0, \infty)$, $\{\alpha_{n}\}\subset(0,1)$, $\{\beta_{n}\}\subset(0,1)$, and $\{r_{n}\}\subset(0, \infty)$

.

Assume

that:

(i) $0< \lim\inf_{narrow\infty}\alpha_{n}\leq\lim\sup_{narrow\infty}\alpha_{n}<1$;

(ii) $\lim_{narrow\infty}\beta_{n}=0$, and $\sum_{n=1}^{\infty}\beta_{n}=\infty$;

(iii) $0<a \leq\lambda_{n}\leq b<\frac{1}{\Vert A_{1}\Vert^{2}+2}$, and $0<a \leq r_{n}\leq b<\frac{1}{3}$;

(iv) $0<\lambda<2\epsilon_{1},$ $0<r<2\epsilon_{2},$ $0<\sigma<2\delta$, and $0<\rho<2\delta’$;

(v) $\lim_{narrow\infty}\theta_{n}=\theta$ for

some

$\theta\in H.$

Then $\lim_{narrow\infty}x_{n}=\overline{x}$, where $\overline{x}=P_{\Pi_{7}}(\overline{x}-V\overline{x}+\theta)$. This point

$\overline{x}$ is also

a

unique

solution of the following hierarchical problem: Find $\overline{x}\in\Pi_{7}$ such that

$\langle V\overline{x}-\theta,$$q-\overline{x}\rangle\geq 0$ for all$q\in\Pi_{7}.$

(v) In the following theorem,

we

study the split multiple variational inequality

problem (SMVIP) :

$\{\begin{array}{l}Find \overline{x}\in H_{1} such that\langle\Upsilon_{2}\overline{x}, x-\overline{x}\rangle\geq 0, \langle\Upsilon_{1}\overline{x}, x-\overline{x}\rangle\geq 0\end{array}$

(12)

$\{$

$\overline{u}=A_{1}\overline{x}\in H_{2}$ such that

$\langle B’\overline{u},$$u-\overline{u}\rangle\geq 0,$

$\langle B\overline{u},$$u-\overline{u}\rangle\geq 0$

for all $u\in Q.$

Let SMVI$(T_{1}, \Upsilon_{2}, B, B’)$ be the solution set of split multiple variational inequality

problem (SMVIP).

Theorem 4.5. Let$C$ and $Q$be twononempty closed

convex

subsets ofrealHilbert

spaces $H_{1}$ and $H_{2}$, respectively. Suppose that

$\Pi_{9}=:Fix(T)\cap SMVI(T_{1}, T_{2}, B, B’)\cap Fix(J_{\lambda_{n}}^{G_{1}})\cap Fix(J_{r_{n}}^{G_{2}})\neq\emptyset.$

Let $\{x_{n}\}\subset H$ be defined by

(4.9) $\{\begin{array}{l}x_{1}\in C chosen arbitrarily,y_{n}=J_{\lambda_{n}}^{G_{1}}(I-\lambda_{n}A_{1}^{*}(I_{1}-\Psi_{1})A_{1})J_{r_{n}}^{G_{2}}(I-r_{n}(I-\Psi))x_{n},s_{n}=Ty_{n},x_{n+1}=\alpha_{n}x_{n}+(1-\alpha_{n})(\beta_{n}\theta_{n}+(1-\beta_{n}V)s_{n})\end{array}$

where $\Psi_{1}=P_{Q}(I_{1}-\sigma B)P_{Q}(I_{1}-\rho B$ $\Psi=P_{C}(I-\lambda\Upsilon_{1})P_{C}(I-r\Upsilon_{2})$ for each $n\in \mathbb{N},$ $\{\lambda_{n}\}\subset(0, \infty)$, $\{\alpha_{n}\}\subset(0,1)$, $\{\beta_{n}\}\subset(0,1)$, and $\{r_{n}\}\subset(0, \infty)$

.

Assume

that:

(i) $0< \lim\inf_{narrow\infty}\alpha_{n}\leq\lim\sup_{narrow\infty}\alpha_{n}<1$;

(ii) $\lim_{narrow\infty}\beta_{n}=0$, and $\sum_{n=1}^{\infty}\beta_{n}=\infty$;

(iii) $0<a \leq\lambda_{n}\leq b<\frac{1}{\Vert A_{1}\Vert^{2}+2}$, and $0<a \leq r_{n}\leq b<\frac{1}{3}$;

(iv) $0<\lambda<2\epsilon_{1},$ $0<r<2\epsilon_{2},$ $0<\sigma<2\delta$, and $0<\rho<2\delta’$;

(v) $\lim_{narrow\infty}\theta_{n}=\theta$ for some $\theta\in H.$

Then $\lim_{narrow\infty}x_{n}=\overline{x}$, where $\overline{x}=P_{\Pi_{9}}(\overline{x}-V\overline{x}+\theta)$. This point $\overline{x}$

is also

a

unique

solution ofthefollowing hierarchical problem: Find $\overline{x}\in\Pi_{9}$ such that

(13)

References

[1] Y. Censor, T. Elfving, A multiprojection algorithm using Bregman projection

in

a

product space, J.

Numer.

Algorithm,

8

(1994), pp.

221-239.

[2] C. Byrne, Iterativeoblique projectiononto

convex

sets and thesplit feasibility

problem, Inverse Problems,

18

(2002), pp.

441-453.

[3] C. Byrne, A unified treatment of

some

iterative algorithms in signal processing

and image reconstruction, Inverse Problems,

20

(2004), pp.

103-120.

[4] F. Wang, H. K. Xu, Approximating

curve

and strong convergence ofthe CQ

algorithm for the split feasibility problem, J. Inequal. Appl.,

2010

(2010),

102085.

[5] H. K. Xu, Avariable Krasnosel’skii-Mann algorithm andthemultiple-set split

feasibility problem, Inverse Problems, 22 (2006), pp.

2021-2034.

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infinite-dimensional Hilbert spaces, Inverse Problems,

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[7] Z. T. Yu, L. J. Lin, C. S. Chuang, A Unified Study of The Split Feasible

Problems With Applications, J. Nonlinear

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[8] G.Cai, S.Q. Bu, Convergence analysis for variational inequalities problems

and fixedpoint problems in 2-uniformly smooth and uniformlyconvex Banach

spaces, Math Comput. Modeling, $55(2012),538-546.$

[9] R.U. Verma, Projection methods, algorithms, and

a

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[10] N.H. Nie, Z. Liu, K.H. Kim, S.M. Kang, A system of nonlinear variational

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[12] R. U. Verma, General convergence analysis for two-step projection methods

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(2005)1286-1292.

[13] E. Blum, W. Oettli, FYomoptimization andvariational inequalitiesto

equilib-rium problems, Mathematics student,

63

(1994), pp.

123-146.

[14] S. Reich, A weak convergence theorem for the alternative method with

Breg-man distance. In: Kartsatos,A.G. (ed.) Theoryand Applications of Nonlinear

Operatorsof

Accretive

and Monotone Type, $(1996),313V$ 318. Marcel Dekker,

New York.

[15] S. Takahashi, W. Takahashi and M. Toyoda, Strong convergence theorems for

maximal monotone operators with nonlinear mappings in Hilbert spaces, J.

Optim. Theory Appl.,

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27-41.

[16] Z. T. Yu, L. J. Lin, Hierarchical Problems with Applications to Mathematical

Programming with Multiple Sets split Feasibility Constraints, Fixed Point

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