Convergence theorems based on hybrid methods for generalized equilibrium problems and fixed point problems

https://doi.org/10.1016/j.na.2009.02.106Get rights and content

Abstract

The purpose of this work is to introduce a hybrid projection method for finding a common element of the set of a generalized equilibrium problem, the set of solutions to a variational inequality and the set of fixed points of a strict pseudo-contraction in a real Hilbert space.

Section snippets

Introduction and preliminaries

Let H be a real Hilbert space, whose inner product and norm are denoted by , and , respectively. Let C be a nonempty closed convex subset of H and B:CH a nonlinear mapping. Let PC be the projection of H onto the closed convex subset C.

Recall the following definitions:

(1) B is said to be monotone if BxBy,xy0,x,yC.

(2) B is said to be strongly monotone if there exists a constant α>0 such that BxBy,xyαxy2,x,yC.

For such a case, B is said to be α-strongly-monotone.

(3) B is

Main results

Now, we are ready to give our main results in this paper.

Theorem 2.1

Let C be a closed convex subset of a real Hilbert space H and let f:C×CR be a bifunction satisfying (A1)–(A4) . Let A be an α-inverse-strongly monotone mapping of C into H and B be a β-inverse-strongly monotone mapping of C into H , respectively. Let S:CC be a k-strict pseudo-contraction with a fixed point. Define a mapping Sk:CC by Skx=kx+(1k)Sx for all xC . Assume that FF(S)VI(C,B)EP(f,A) . Let {xn} be a sequence generated by

Applications

In this section, we prove some strong convergence theorems by using Theorem 2.1.

Theorem 3.1

Let C be a closed convex subset of a real Hilbert space H and f:C×CR be a bifunction satisfying (A1)–(A4) . Let A be an α-inverse-strongly monotone mapping of C into H and S:CC be a k-strict pseudo-contraction with a fixed point. Define a mapping Sk:CC by Skx=kx+(1k)Sx for all xC . Assume that FF(S)EP(f,A) . Let {xn} be a sequence generated by the following algorithm:{x1C,C1=C,f(un,y)+Axn,yun+1rnyun,u

Acknowledgement

This work was supported by the Korea Research Foundation Grant funded by the Korean Government (KRF-2008-313-C00050).

References (30)

Cited by (61)

View all citing articles on Scopus
View full text