Hybrid iterative scheme for a generalized equilibrium problems, variational inequality problems and fixed point problem of a finite family of κi-strictly pseudocontractive mappings
In this article, by using the S -mapping and hybrid method we prove a strong convergence theorem for finding a common element of the set of fixed point problems of a finite family of κ i -strictly pseudocontractive mappings and the set of generalized equilibrium defined by Ceng et al., which is a solution of two sets of variational inequality problems. Moreover, by using our main result we have a strong convergence theorem for finding a common element of the set of fixed point problems of a finite family of κ i -strictly pseudocontractive mappings and the set of solution of a finite family of generalized equilibrium defined by Ceng et al., which is a solution of a finite family of variational inequality problems.
KangtunyakarnFixed Point Theory and Applications2012,2012:30 http://www.fixedpointtheoryandapplications.com/content/2012/1/30
R E S E A R C HOpen Access Hybrid iterative scheme for a generalized equilibrium problems, variational inequality problems and fixed point problem of a finite family ofistrictly pseudocontractive mappings Atid Kangtunyakarn
Correspondence: beawrock@hotmail.com Department of Mathematics, Faculty of Science, King Mongkut’s Institute of Technology Ladkrabang, Bangkok 10520, Thailand
Abstract In this article, by using theSmapping and hybrid method we prove a strong convergence theorem for finding a common element of the set of fixed point problems of a finite family ofistrictly pseudocontractive mappings and the set of generalized equilibrium defined by Ceng et al., which is a solution of two sets of variational inequality problems. Moreover, by using our main result we have a strong convergence theorem for finding a common element of the set of fixed point problems of a finite family ofistrictly pseudocontractive mappings and the set of solution of a finite family of generalized equilibrium defined by Ceng et al., which is a solution of a finite family of variational inequality problems. Keywords:κstrict pseudo contraction mapping,αinverse strongly monotone, gen eralized equilibrium problem, variational inequality, theSmapping
1 Introduction LetHbe a real Hilbert space and let C be a nonempty closed convex subset of H. A mappingTofHinto itself is callednonexpansiveif∥TxTy∥≤∥xy∥for allx, yÎH. We denote byF(T) the set of fixed points ofT(i.e.,F(T) = {xÎH:Tx=x}) Goebel and Kirk [1] showed thatF(T) is always closed convex, and also nonempty providedThas a bounded trajectory. Recall the mappingTis said to bestrict pseudocontrationif there existÎ[0, 1) such that 2 22 Tx−Ty≤x−y+κ(I−T)x−(I−T)y∀x,y∈D(T).(1:1) Note that the class ofstrict pseudocontractions strictly includes the class of nonex pansive mappings, that isTis nonexpansive if and only if T is 0strict pseudocontractive. If= 1,Tis said to bepseudocontraction mapping. Tisstrong pseudocontractionif there exists a positive constantlÎ(0, 1) such thatT+lIis pseudocontraction. In a real Hilbert spaceH(1.1) is equivalent to 21−κ2 Tx−Ty,x−y≤x−y−(I−T)x−(I−T)y∀x,y∈D(T).(1:2) 2
KangtunyakarnFixed Point Theory and Applications2012,2012:30 http://www.fixedpointtheoryandapplications.com/content/2012/1/30
Tis pseudocontraction if and only if 2 Tx−Ty,x−y≤x−y∀x,y∈D(T).
Tis strong pseudocontraction if there exists a positive constantlÎ(0, 1) 2 Tx−Ty,x−y≤(1−λ)x−y∀x,y∈D(T) The class ofstrict pseudocontractions falls into the one between classes of nonex pansive mappings and pseudocontraction mappings and class of strong pseudocon traction mappings is independent of the class ofstrict pseudocontraction. A mappingAofCintoHis calledinversestrongly monotone, see [2] if there exists a positive real numberasuch that 2 x−y,Ax−Ay≥αAx−Ay for allx, yÎC. The equilibrium problem forGis to determine its equilibrium points, i.e., the set EP(G) ={x∈G:G(x,y)≥0,∀y∈C}.(1:3) Given a mappingT:C®H, letG(x, y) =〈Tx, yx〉for allx, yÎC. Then,zÎEP (F) if and only if〈Tz, yz〉≥0 for allyÎC, i.e.,zis a solution of the variational inequality. LetA:C®Hbe a nonlinear mapping. The variational inequality problem is to find auÎCsuch that v−u,Au ≥0(1:4) for allvÎC. The set of solutions of the variational inequality is denoted byVI(C, A). In 2005, Combettes and Hirstoaga [3] introduced some iterative schemes of finding the best approximation to the initial data when EP(G) is nonempty and proved strong convergence theorem. Also in [3] Combettes and Hiratoaga, following [4] defineSr:H®Cby 1 Sr(x) ={z∈C:G(z,y) +y−z,z−x≥0∀y∈C}.(1:5) r hey proved that under suitable hypothesesG, Sris singlevalued and firmly nonex pansive withF(Sr) =EP(G). Numerous problems in physics, optimization, and economics reduce to find a ele ment ofEP(G) (see, e.g., [516]) LetCB(H) be the family of all nonempty closed bounded subsets ofHandH(., .)be the Hausdorff metric on CB(H) defined as H(U,Vsup) = maxd(u,V), supd(U,v) ,∀U,V∈CB(H), u∈U v∈V whered(u, V) = infvÎVd(u, v),d(U, v) = infuÎUd(u, v), andd(u, v) =∥uv∥. LetCbe a nonempty closed convex subset ofH. Let:C®ℝbe a realvalued function,T:C®CB(H) a multivalued mapping andF:H×C×C®ℝan equili briumlike function, that is,F(w, u, v) +F(w, v, u) = 0 for all (w, u, v)ÎH×C×C which satisfies the following conditions with respect to the multivalued mapT:C® CB(H).