Available online at www.tjnsa.com J. Nonlinear Sci. Appl. 9 (2016), 757–765 Research Article Monotone hybrid methods for a common solution problem in Hilbert spaces Dongfeng Lia , Juan Zhaob,∗ a School of Information Engineering, North China University of Water Resources and Electric Power, Zhengzhou, China. b School of Mathematics and Information Sciences, North China University of Water Resources and Electric Power University, Zhengzhou 450011, China. Communicated by X. Qin Abstract The purpose of this article is to investigate generalized mixed equilibrium problems and uniformly LLipschitz continuous asymptotically κ-strict pseudocontractions in the intermediate sense based on a monotone hybrid method. Strong convergence theorems of common solutions are established in the framework of c Hilbert spaces. 2016 All rights reserved. Keywords: Asymptotically strict pseudocontraction, asymptotically nonexpansive mapping, generalized mixed equilibrium problem, solution, fixed point. 2010 MSC: 47H10, 90C33. 1. Introduction-preliminaries Throughout this paper, we always assume that H is a real Hilbert space with inner product h·, ·i and norm k · k. Let C be a nonempty closed convex subset of H. Let P rojC be the metric projection onto C. From now on, we use * and → to stand for the weak convergence and strong convergence, respectively. Let S be a mapping on C. In this paper, we use F (S) to denote the set of fixed points of S. Recall that S is said to be closed at y if for any sequence {xn } ⊂ C such that xn → x and Sxn → y, then Sx = y. Recall that S is said to be demiclosed at y if for any sequence {xn } ⊂ C such that xn * x and Sxn → y, then Sx = y. Recall that S is said to be nonexpansive iff kSx − Syk ≤ kx − yk, ∗ ∀x, y ∈ C. Corresponding author Email addresses: sylidf@yeah.net (Dongfeng Li), zhaojuanyu@126.com (Juan Zhao) Received 2015-08-17 D. Li, J. Zhao, J. Nonlinear Sci. Appl. 9 (2016), 757–765 758 S is said to be asymptotically nonexpansive iff there exists a sequence {kn } ⊂ [1, ∞) with kn → 1 as n → ∞ such that kS n x − S n yk ≤ kn kx − yk, ∀x, y ∈ C, n ≥ 1. Asymptotically nonexpansive mapping was introduced by Goebel and Kirk [10] as a generalization of nonexpansive mappings. If C is weakly compact, then F (T ) is not empty. S is said to be asymptotically nonexpansive in the intermediate sense iff it is continuous and the following inequality holds: lim sup sup (kS n x − S n yk − kx − yk) ≤ 0. (1.1) n→∞ x,y∈C Setting µn = max{0, sup (kS n x − S n yk − kx − yk)}, we see that µn → 0 as n → ∞. Then (1.1) is reduced x,y∈C to the following: kS n x − S n yk ≤ kx − yk + µn , ∀x, y ∈ C. (1.2) Asymptotically nonexpansive mappings in the intermediate sense were introduced by Kirk [14] as a generalization of asymptotically nonexpansive mappings; see also [5]. S is said to be strictly pseudocontractive iff there exists a constant κ ∈ [0, 1) such that kSx − Syk2 ≤ kx − yk2 + κk(I − S)x − (I − S)yk2 , ∀x, y ∈ C. Strict pseudocontractions is introduced by Brower and Petryshyn [4] as a generalization of the class of nonexpansive mappings. It is clear that every nonexpansive mapping is 0-strictly pseudocontractive. S is said to be an asymptotically strict pseudocontraction iff there exist a sequence {kn } ⊂ [1, ∞) with kn → 1 as n → ∞ and a constant κ ∈ [0, 1) such that kS n x − S n yk2 ≤ kn kx − yk2 + κk(I − S n )x − (I − S n )yk2 , ∀x, y ∈ C, n ≥ 1. Asymptotically strict pseudocontractions were introduced by Qihou [17] as a generalization of strict pseudocontractions. Note that both asymptotically strict pseudocontractions and strict pseudocontractions are Lipschitz continuous. S is said to be an asymptotically strict pseudocontraction in the intermediate sense if there exist a sequence {kn } ⊂ [1, ∞) with kn → 1 as n → ∞ and a constant κ ∈ [0, 1) such that lim sup sup (kS n x − S n yk2 − kn kx − yk2 − κk(I − S n )x − (I − S n )yk2 ) ≤ 0. (1.3) n→∞ x,y∈C Setting µn = max{0, sup (kS n x − S n yk2 − kn kx − yk2 − κk(I − S n )x − (I − S n )yk2 )}, x,y∈C we see that µn → 0 as n → ∞. Then (1.3) is reduced to the following: kS n x − S n yk2 ≤ kn kx − yk2 + κk(I − S n )x − (I − S n )yk2 + µn , ∀x, y ∈ C, n ≥ 1. (1.4) Asymptotically strict pseudocontractions in the intermediate sense were introduced by Sahu, Xu and Yao [21] as a generalization of asymptotically strict pseudocontractions. From now on, R stands for the set of real numbers. Let B be a bifunction of C × C into R. Consider the problem: find a p such that B(p, y) ≥ 0, ∀y ∈ C. (1.5) The solution set of the problem is denoted by EP (B). The problem was first introduced by Ky Fan [9]. In the sense of Blum and Oettli [3], the Ky Fan is also called an equilibrium problem. Equilibrium problems are revealed as an powerful and effective mathematical modelling for studying real world problems which arise in many subjects, for instance, network, finance, transportation, elasticity and D. Li, J. Zhao, J. Nonlinear Sci. Appl. 9 (2016), 757–765 759 optimization; see [1], [2], [6], [7], [8], [11], [16], [22], [23], [24] and the references therein. It is known that the generalized mixed equilibrium problem is to find p ∈ C such that B(p, y) + hAp, y − pi + ϕ(y) − ϕ(p) ≥ 0, ∀y ∈ C, (1.6) where ϕ : C → R is a real valued function and A : C → H is a nonlinear mapping. We use GM EP (B, A, ϕ) to denote the solution set of the equilibrium problem. That is, GM EP (B, A, ϕ) := {p ∈ C : B(p, y) + hAp, y − pi + ϕ(y) − ϕ(z) ≥ 0, ∀y ∈ C}. Next, we give some special cases: If A = 0 and ϕ = 0, then problem (1.6) is equivalent to (1.5). If B = 0, then problem (1.6) is equivalent to find p ∈ C such that hAp, y − pi + ϕ(y) − ϕ(z) ≥ 0, ∀y ∈ C, (1.7) which is called the mixed variational inequality of Browder type. If A = 0, then problem (1.6) is equivalent to find p ∈ C such that B(p, y) + ϕ(y) − ϕ(z) ≥ 0, ∀y ∈ C, (1.8) which is called the mixed equilibrium problem. If ϕ = 0, then problem (1.6) is equivalent to find p ∈ C such that B(p, y) + hAp, y − pi ≥ 0, ∀y ∈ C, (1.9) which is called the generalized equilibrium problem. For solving the above equilibrium problems, let us assume that bifunction B : C × C → R satisfies the following conditions: (B-1) (B-2) (B-3) (B-4) B is monotone; B(x, x) = 0, ∀x ∈ C; for each x ∈ C, y 7→ B(x, y) is convex and weakly lower semi-continuous; lim sup B(tz + (1 − t)x, y) ≤ B(x, y), ∀x, y, z ∈ C. t↓0 Recently, above problems have been extensively investigated based on iterative methods in different spaces by many authors; see, for instance, [8], [12], [13], [15], [19, 20, 25], and [26]–[29]. In this paper, motivated by the research mentioned above, we investigate fixed points of an asymptotically strict pseudocontraction in the intermediate sense and generalized mixed equilibrium problem (1.6) based an a hybrid method. Next, we give the following tools which play an important role in our paper. Lemma 1.1 ([18], [21]). Let S : C → C be a uniformly L-Lipschitz continuous and asymptotically strict pseudocontraction in the intermediate sense. Then the mapping I − S is demiclosed at zero, that is, if {xn } is a sequence in C such that xn * x̄ and xn − Sxn → 0, then x̄ ∈ F (S). Lemma 1.2 ([18], [21]). Let C be a nonempty closed convex subset of H. Let S : C → C be an asymptotically κ-strict pseudocontraction in the intermediate sense. Then F (S) is closed and convex. Lemma 1.3 ([3]). Let C be a nonempty closed convex subset of H and let B : C × C → R be a bifunction with (B-1), (B-2), (B-3) and (B-4) . Then, for any r > 0 and x ∈ H, there exists z ∈ C such that 1 B(z, y) + hy − z, z − xi ≥ 0, r ∀y ∈ C. Further, define n 1 Tr x = z ∈ C : B(z, y) + hy − z, z − xi ≥ 0, r for all r > 0 and x ∈ H. Then, the following hold: ∀y ∈ C o D. Li, J. Zhao, J. Nonlinear Sci. Appl. 9 (2016), 757–765 760 (a) Tr is single-valued firmly nonexpansive; (b) EP (B) is convex and closed; (c) F (Tr ) = EP (B). 2. Main results Theorem 2.1. Let C be a nonempty closed convex subset of H. Let B be a bifunction from C × C to R enjoys (B-1), (B-2), (B-3) and (B-4). Let ϕ : C → R be a lower semicontinuous and convex function and let A : C → H be a continuous and monotone mapping. Let S be a uniformly L-Lipschitz continuous and asymptotically κ-strict pseudocontraction in the intermediate sense on C. Assume that the common solution set GM EP (B, A, ϕ) ∩ F (S) is nonempty and bounded. Let {αn } and {βn } be sequences in [0, 1]. Let {rn } be a real sequence in (0, ∞). Let {xn } be a sequence generated as follows: x1 ∈ H, C1 = C, B(un , u) + ϕ(u) − ϕ(un ) + hAun , u − un i + r1n hu − un , un − xn i ≥ 0, ∀u ∈ C, y = (1 − α ) β u + (1 − β )S n u + α x , n n n n n n n n 2 ≤ (k − 1) sup{kx − wk2 : w ∈ GM EP (B, A, ϕ) ∩ F (S)} C = {w ∈ C : ky − wk n+1 n n n n 2 }, +µ + kx − wk n n x = P roj x , n ≥ 1, n+1 Cn+1 1 where P rojCn+1 is the metric projection from H onto Cn+1 . Assume that the control sequences {rn }, {αn } and {βn } satisfy the following restrictions: 0 ≤ αn ≤ a < 1, lim inf rn > 0 and 0 < κ ≤ βn ≤ b < 1, where a n→∞ and b are two real numbers. Then sequence {xn } converges strongly to x̄ = PGM EP (B,A,ϕ)∩F (S) x1 . Proof. First, we define G(p, y) = B(p, y)+hAp, y −pi+ϕ(y)−ϕ(p), ∀p, y ∈ C. Next, we prove that bifunction G satisfies (B-1), (B-2), (B-3) and (B-4). Therefore, generalized mixed equilibrium problem is equivalent to the following equilibrium problem: find p ∈ C such that G(p, y) ≥ 0, ∀y ∈ C. Next, we prove G is monotone. Since A is a continuous and monotone operator, we find from the definition of G that G(y, z) + G(z, y) = B(y, z) + hAy, z − yi + ϕ(z) − ϕ(y) + B(z, y) + hAz, y − zi + ϕ(y) − ϕ(z) = B(z, y) + hAz, y − zi + B(y, z) + hAy, z − yi ≤ hAz − Ay, y − zi ≤ 0. It is clear that G satisfies (B-2). Next, we show that for each x ∈ C, y 7−→ G(x, y) is convex and lower semicontinuous. For each x ∈ C, for all t ∈ (0, 1) and for all y, z ∈ C, since ϕ is convex, we have G(x, ty + (1 − t)z) = B(x, ty + (1 − t)z) + hAx, ty + (1 − t)z − xi + ϕ(ty + (1 − t)z) − ϕ(x) ≤ t B(x, y) + ϕ(y) − ϕ(x) + hAx, y − xi + (1 − t) B(x, z) + ϕ(z) − ϕ(x) + hAx, z − xi = (1 − t)G(x, z) + tG(x, y). So, y 7−→ G(x, y) is convex. Similarly, we find that y 7−→ G(x, y) is also lower semicontinuous. Next, we show G satisfies (B-4), that is, lim sup G(tz + (1 − t)x, y) ≤ G(x, y), ∀x, y, z ∈ C. t↓0 Since A is continuous and ϕ is lower semicontinuous, we have D. Li, J. Zhao, J. Nonlinear Sci. Appl. 9 (2016), 757–765 761 lim sup G(tz + (1 − t)x, y) = lim sup B(tz + (1 − t)x, y) t↓0 t↓0 + lim sup ϕ(y) − ϕ(tz + (1 − t)x)big) t↓0 + lim suphA tz + (1 − t)x , y − tz + (1 − t)x i t↓0 ≤ B(x, y) + ϕ(y) − ϕ(x) + hAx, y − xi = G(x, y). Now, we are in a position to show that Cn is closed and convex. It is easy to see that Cn is closed. We only show that Cn is convex. Note that C1 = H is convex. Suppose that Ci is convex for some positive integer i ≥ 1. Next, we show that Ci+1 is convex for the same i. Put Θn = sup{kxn − wk2 : w ∈ GM EP (B, A, ϕ) ∩ F (S)}. Since kyi − wk2 ≤ (ki − 1)Θi + µi + kxi − wk2 is equivalent to 2hxi − yi , wi ≤ kxi k2 − kyi k2 + (ki − 1)Θi + µi , we take w1 and w2 in Ci+1 and put w̄ = tw1 + (1 − t)w2 to find that w1 ∈ Ci , w2 ∈ Ci , 2hxi − yi , w1 i ≤ kxi k2 − kyi k2 + (ki − 1)Θi + µi and 2hxi − yi , w2 i ≤ kxi k2 − kyi k2 + (ki − 1)Θi + µi . Using the above two inequalities, we obtain that kyi −wk2 ≤ kxi −wk2 +(ki −1)Θi +µi . By use the convexity of Ci , we find that w̄ ∈ Ci . This shows that w̄ ∈ Ci+1 . This yields that Cn is convex and closed. Next, we find that GM EP (B, A, ϕ) ∩ F (S) ⊂ Cn . It is clear that GM EP (B, A, ϕ) ∩ F (S) ⊂ C1 = H. Assume that GM EP (B, A, ϕ) ∩ F (S) ⊂ Ch for some integer h ≥ 1. We intend to claim that GM EP (B, A, ϕ) ∩ F (S) ⊂ Ch+1 for the same h. For any p ∈ GM EP (B, A, ϕ) ∩ F (S) ⊂ Ch , we have kyh − pk2 ≤ αh kxh − pk2 + (1 − αh )kβh (uh − p) + (1 − βh )(S h uh − p)k2 ≤ αh kxh − pk2 + (1 − αh ) βh kuh − pk2 2 h 2 h 2 + (1 − βh ) kh kuh − pk + κkuh − S uh k + µh − βh (1 − βh )kuh − S uh k ≤ (1 − αh )(kh − 1)kxh − pk2 + (1 − αh )(1 − βh )(κ − βh )kuh − S h uh k2 + (1 − αh )(1 − βh )µh + kxh − pk2 ≤ (kh − 1)Θh + µh + kxh − pk2 . This implies that GM EP (B, A, ϕ) ∩ F (S) ⊂ Cn . Since xn = PCn x1 , we have kx1 − xn k ≤ kx1 − pk. In particular, one has kx1 − xn k ≤ kx1 − P rojGM EP (B,A,ϕ)∩F (S) x1 k. This obtains the boundedness of {xn }. It follows that 0 ≤ hx1 − xn , xn − xn+1 i ≤ kx1 − xn kkx1 − xn+1 k − kx1 − xn k2 . This implies kxn − x1 k ≤ kxn+1 − x1 k. Hence, we obtain that lim kxn − x1 k exists. Since n→∞ kxn − xn+1 k2 = kxn − x1 k2 + 2hxn − x1 , x1 − xn+1 i + kx1 − xn+1 k2 = kxn − x1 k2 + 2hxn − x1 , x1 − xn + xn − xn+1 i + kx1 − xn+1 k2 = kxn − x1 k2 − 2kxn − x1 k2 + 2hxn − x1 , xn − xn+1 i + kx1 − xn+1 k2 ≤ kx1 − xn+1 k2 − kxn − x1 k2 , D. Li, J. Zhao, J. Nonlinear Sci. Appl. 9 (2016), 757–765 762 we find that lim kxn − xn+1 k = 0. n→∞ (2.1) By use of xn+1 = P rojCn+1 x1 ∈ Cn+1 , we have kyn − xn+1 k2 ≤ (kn − 1)Θn + µn + kxn − xn+1 k2 . Hence lim kxn+1 − yn k = 0. n→∞ (2.2) This together with (2.1) yield that lim kxn − yn k = 0. (2.3) Since kxn − yn k = (1 − αn )kxn − βn un + (1 − βn )S n un k, we find from (2.3) and the restriction imposed on sequence {αn } that lim kxn − βn un + (1 − βn )S n un k = 0. (2.4) n→∞ n→∞ For p ∈ GM EP (B, A, ϕ) ∩ F (S), one has 1 kun − pk2 ≤ hTrn xn − Trn p, xn − pi = (kun − pk2 + kxn − pk2 − kun − xn k2 ). 2 Hence, we have kun − pk2 ≤ kxn − pk2 − kun − xn k2 . (2.5) It follows that kyn − pk2 ≤ αh kxn − pk2 + (1 − αn ) βn kun − pk2 + (1 − βn )kS n un − S n pk2 − βn (1 − βn )kun − p − (S n un − S n p)k2 ≤ αn kxn − pk2 + (1 − αn )βn kun − pk2 + (1 − αn )(1 − βn ) kn kun − pk2 + κkun − p − (S n un − S n p)k2 + µn − (1 − αn )βn (1 − βn )kun − p − (S n un − S n p)k2 ≤ αn kxn − pk2 + (1 − αn )kn kun − pk2 − (1 − αn )(1 − βn )(βn − κ)kun − p − (S n un − S n p)k2 ≤ (kn − 1)kxn − pk2 − (1 − αn )kn kun − xn k2 + kxn − pk2 . This implies that (1 − αn )kn kun − xn k2 ≤ (kn − 1)kxn − pk2 − kyn − pk2 + kxn − pk2 ≤ (kxn − pk + kyn − pk)kxn − yn k + (kn − 1)kxn − pk2 . By use of (2.3), we find that limn→∞ kun − xn k = 0. Since {xn } is bounded, there exists a subsequence {xni } of {xn } such that xni * q. It follows uni * q. Using the restriction imposed on {rn }, we may assume there exists a positive real number r such that rn ≥ r. Hence, kun − xn k = 0. n→∞ rn lim (2.6) Next, we show that q ∈ F (S). Note that kxn − βn xn + (1 − βn )S n xn k ≤ kxn − βn un + (1 − βn )S n un k + βn kun − xn k + (1 − βn )kS n un − S n xn k ≤ kxn − βn un + (1 − βn )S n un k + Lkun − xn k. D. Li, J. Zhao, J. Nonlinear Sci. Appl. 9 (2016), 757–765 763 It follows from (2.4) that lim kxn − βn xn + (1 − βn )S n xn k = 0. (2.7) n→∞ Since kS n xn − xn k ≤ kS n xn − βn xn + (1 − βn )S n xn k + k βn xn + (1 − βn )S n xn − xn k ≤ βn kS n xn − xn k + k βn xn + (1 − βn )S n xn − xn k, one sees from the restriction imposed on {βn } and (2.7) that lim kS n xn − xn k = 0. (2.8) n→∞ Since S is Lipschitz continuous, one has kxn − Sxn k ≤ kxn − xn+1 k + kxn+1 − S n+1 xn+1 k + kS n+1 xn+1 − S n+1 xn k + kS n+1 xn − Sxn k ≤ (1 + L)kxn − xn+1 k + kxn+1 − S n+1 xn+1 k + LkS n xn − xn k. It follows from (2.1) and (2.8) that lim kSxn − xn k = 0. n→∞ Using Lemma 1.1, we obtain that q ∈ F (S). Next, we prove q ∈ GM EP (B, A, ϕ) = EP (G). By use of (B-1), one has uni −xni i rni 1 rn hu − un , un − xn i ≥ G(u, un ). ≥ G(u, uni ). Using assumption (B-3), we get from (2.6) Replacing n by ni , we arrive at hu − uni , that G(u, q) ≤ 0, ∀u ∈ C. For any t with 0 < t ≤ 1 and u ∈ C, let ut = tu + (1 − t)q. Since u ∈ C and q ∈ C, we have ut ∈ C and hence G(ut , q) ≤ 0. It follows that 0 = G(ut , ut ) ≤ tG(ut , u) + (1 − t)G(ut , q) ≤ tG(ut , u), which yields that G(ut , u) ≥ 0, ∀u ∈ C. Letting t ↓ 0, we obtain from assumption (B-4) that G(q, u) ≥ 0, ∀u ∈ C. This implies that q ∈ EP (G) = GM EP (B, A, ϕ). This shows that q ∈ GM EP (B, A, ϕ) ∩ F (S). Since x̄ = PGM EP (B,A,ϕ)∩F (S) x1 , we obtain that kx1 − x̄k ≤ kx1 − qk ≤ lim inf kx1 − xni k ≤ lim sup kx1 − xni k ≤ kx1 − x̄k. i→∞ i→∞ It follows that lim kx1 − xni k = kx1 − qk = kx1 − x̄k. i→∞ Hence, {xni } converges strongly to x̄. It follows that the sequence {xn } converges strongly to x̄ = PGM EP (B,A,ϕ)∩F (S) x1 . This completes the proof. Next, we give some subresults based on Theorem 2.1. First, we consider solutions of equilibrium problem (1.5). Corollary 2.2. Let C be a nonempty closed convex subset of H. Let B be a bifunction from C × C to R which satisfies (B-1), (B-2), (B-3) and (B-4) and let S : C → C be a uniformly L-Lipschitz continuous and asymptotically κ-strict pseudocontraction in the intermediate sense. Assume that EP (F ) is nonempty and bounded. Let {αn } be a sequence in [0, 1]. Let {rn } be a real sequence in (0, ∞). Let {xn } be a sequence generated in the following manner: x1 ∈ H, C1 = C, F (u , u) + 1 hu − u , u − x i ≥ 0, ∀u ∈ C, n n n n rn yn = αn xn + (1 − αn )un , Cn+1 = {w ∈ Cn : kyn − wk ≤ kxn − wk}, x n ≥ 1. n+1 = P rojCn+1 x1 , D. Li, J. Zhao, J. Nonlinear Sci. Appl. 9 (2016), 757–765 764 Assume that the control sequences {rn } and {αn } satisfy the following restrictions: lim inf rn > 0 and n→∞ 0 ≤ αn ≤ a < 1, where a is a real number. Then sequence {xn } converges strongly to x̄ = P rojEP (F ) x1 . Proof. Putting ϕ = 0, A = 0 and S = I, we find from Theorem 2.1 the desired conclusion. Next, we give a result on equilibrium problem (1.9). Corollary 2.3. Let C be a nonempty closed convex subset of H. Let B be a bifunction from C × C to R which satisfies (B-1), (B-2), (B-3) and (B-4) and A : C → H a continuous and monotone mapping. Assume that EP (F, A) is nonempty and bounded. Let {αn } be a sequence in [0, 1]. Let {rn } be a real sequence in (0, ∞). Let {xn } be a sequence generated in the following manner: x1 ∈ H, C1 = C, F (u , u) + hAu , u − u i + 1 hu − u , u − x i ≥ 0, ∀u ∈ C, n n n n n n rn y = α x + (1 − α )u , n n n n n C = {w ∈ C : ky n+1 n n − wk ≤ kxn − wk}, x n ≥ 1. n+1 = P rojCn+1 x1 , Assume that the control sequences {rn } and {αn } satisfy the following restrictions: lim inf rn > 0, 0 ≤ αn ≤ n→∞ a < 1, where a is a real number. Then sequence {xn } converges strongly to x̄ = P rojEP (F,A) x1 . Finally, we give a result on fixed point of asymptotically κ-strict pseudocontraction in the intermediate sense. Corollary 2.4. Let C be a nonempty closed convex subset of H. Let S : C → C be a uniformly L-Lipschitz continuous and asymptotically κ-strict pseudocontraction in the intermediate sense with a nonempty and bounded fixed-point set. Let {αn } and {βn } be sequences in [0, 1]. Let {xn } be a sequence generated in the following manner: x1 ∈ C, C1 = C, yn = αn xn + (1 − αn ) βn xn + (1 − βn )S n xn , Cn+1 = {w ∈ Cn : kyn − wk2 ≤ (kn − 1) sup{kxn − wk2 : w ∈ F (S)} + µn + kxn − wk2 }, xn+1 = PCn+1 x1 , n ≥ 1. Assume that the control sequences {αn } and {βn } satisfy the following restrictions: 0 ≤ αn ≤ a < 1 and (b) 0 < κ ≤ βn ≤ b < 1, where a and b are two real numbers. Then sequence {xn } converges strongly to x̄ = P rojF (S) x1 . Acknowledgements: The authors were grateful to the reviewers for useful suggestions which improved the contents of this paper. References [1] B. A. 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