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A hybrid projection method for solving a common solution of a system of equilibrium problems and fixed point problems for asymptotically strict pseudocontractions in the intermediate sense in Hilbert spaces

Chatchawan Watchararuangwit1, Pongrus Phuangphoo12 and Poom Kumam1*

Author Affiliations

1 Department of Mathematics, Faculty of Science, King Mongkut’s University of Technology Thonburi (KMUTT), Bang Mod, Thung Kru, Bangkok, 10140, Thailand

2 Department of Mathematics, Faculty of Education, Bansomdejchaopraya Rajabhat University (BSRU), Thonburi, Bangkok, 10600, Thailand

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Journal of Inequalities and Applications 2012, 2012:252  doi:10.1186/1029-242X-2012-252


The electronic version of this article is the complete one and can be found online at: http://www.journalofinequalitiesandapplications.com/content/2012/1/252


Received:15 June 2012
Accepted:15 October 2012
Published:30 October 2012

© 2012 Watchararuangwit et al.; licensee Springer

This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Abstract

In this paper, we introduce a new iterative algorithm which is constructed by using the hybrid projection method for finding a common solution of a system of equilibrium problems of bifunctions satisfying certain conditions and a common solution of fixed point problems of a family of uniformly Lipschitz continuous and asymptotically λ i -strict pseudocontractive mappings in the intermediate sense. We prove the strong convergence theorem for a new iterative algorithm under some mild conditions in Hilbert spaces. Finally, we also give a numerical example which supports our results.

MSC: 47H05, 47H09, 47H10.

Keywords:
asymptotically strict pseudocontraction in the intermediate sense; hybrid projection method; system of equilibrium problems; fixed point problems

1 Introduction

Let C be a closed and convex subset of a real Hilbert space H with the inner product , and the norm . Let { F m } m Γ be a family of bifunctions from C × C into ℝ, where ℝ is the set of real numbers and Γ is an arbitrary index set. The system of equilibrium problems is to find x C such that

F m ( x , y ) 0 , m Γ , y C . (1.1)

The set of solutions of (1.1) is denoted by SEP ( F m ) , where m Γ , that is,

SEP ( F m ) = { x C : F m ( x , y ) 0 , y C } . (1.2)

If Γ is a singleton, then the problem (1.1) is reduced to the equilibrium problem of finding x C such that

F ( x , y ) 0 , y C . (1.3)

The set of solutions of (1.3) is denoted by EP ( F ) .

Recall the following definitions.

A mapping A : C H is called monotone if

A x A y , x y 0 , x , y C . (1.4)

A mapping A is called α-inverse-strongly monotone[1,2], if there exists a positive real number α such that

A x A y , x y α A x A y 2 , x , y C . (1.5)

Clearly, if A is α-inverse-strongly monotone, then A is monotone.

A mapping A is called β-strongly monotone if there exists a positive real number β such that

A x A y , x y β x y 2 , x , y C . (1.6)

A mapping A is called L-Lipschitz continuous if there exists a positive real number L such that

A x A y L x y , x , y C . (1.7)

It is easy to see that if A is an α-inverse-strongly monotone mapping from C into H, then A is 1 α -Lipschitz continuous.

In 2009, Qin et al.[3] introduced the following algorithm for a finite family of asymptotically λ i -strictly pseudocontractions.

Let x 0 C and { α n } n = 0 be a sequence in ( 0 , 1 ) . The sequence { x n } is as follows:

{ x 1 = α 0 x 0 + ( 1 α 0 ) S 1 x 0 , x 2 = α 1 x 1 + ( 1 α 1 ) S 2 x 1 , x 3 = α 2 x 2 + ( 1 α 2 ) S 3 x 2 , x N = α N 1 x N 1 + ( 1 α N 1 ) S N x N 1 , x N + 1 = α N x N + ( 1 α N ) S 1 2 x N , x N + 2 = α N + 1 x N + 1 + ( 1 α N + 1 ) S 2 2 x N + 1 , x 2 N = α 2 N 1 x 2 N 1 + ( 1 α 2 N 1 ) S N 2 x 2 N 1 , x 2 N + 1 = α 2 N x 2 N + ( 1 α 2 N ) S 1 3 x 2 N , . (1.8)

It is called the explicit iterative sequence of a finite family of asymptotically λ i -strictly pseudocontractions { S 1 , S 2 , , S N } . Since for each n 1 , it can be written as n = ( h 1 ) N + i , where i = i ( n ) { 1 , 2 , 3 , , N } , h = h ( n ) 1 is a positive integer and h ( n ) , as n , we can rewrite the above table in the following compact form:

x n = α n 1 x n 1 + ( 1 α n 1 ) S i ( n ) h ( n ) x x 1 , n 1 .

Next, Sahu et al.[4] introduced new iterative schemes for asymptotically strictly pseudocontractive mappings in the intermediate sense. To be more precise, they proved the following theorem.

Theorem (SXY)LetCbe a nonempty closed and convex subset of a real Hilbert spaceHand T : C C be a uniformly continuous asymptoticallyκ-strictly pseudocontractive mapping in the intermediate sense with a sequence { γ n } such that F ( T ) is nonempty and bounded. Let { α n } be a sequence in [ 0 , 1 ] such that 0 < δ α n 1 κ for all n N . Let { x n } C be a sequence generated by the following (CQ) algorithm:

{ u = x 1 C   chosen arbitrarily , y n = ( 1 α n ) x n + α n T n x n , C n = { z C : y n z 2 x n z 2 + θ n } , Q n = { z C : x n z , u x n 0 } , x n + 1 = P C n Q n ( u ) , n N , (1.9)

where θ n = c n + γ n Δ n and Δ n = sup { x n z : z F ( T ) } < . Then { x n } converges strongly to P F ( T ) ( u ) , where P F ( T ) is a metric projection fromHinto F ( T ) .

In 2010, Hu and Cai [5] considered the asymptotically strictly pseudocontractive mappings in the intermediate sense concerning the equilibrium problem. They obtained the following result in a real Hilbert space. Next, Ceng et al.[6] introduced the viscosity approximation method for a modified Mann iteration process for asymptotically strict pseudocontractive mappings in the intermediate sense and they proved the strong convergence of a general CQ-algorithm and extended the concept of asymptotically strictly pseudocontractive mappings in the intermediate sense to the Banach space setting called nearly asymptotically strictly pseudocontractive mappings in the intermediate sense. Finally, they established a weak convergence theorem for a fixed point of nearly asymptotically strictly pseudocontractive mappings in the intermediate sense which are not necessarily Lipschitz continuous mappings.

Theorem (HC)LetCbe a nonempty closed and convex subset of a real Hilbert spaceHand N 1 be an integer, ϕ : C C be a bifunction satisfying (A1)-(A4), and A : C H be anα-inverse-strongly monotone mapping. Let for each 1 i N , T i : C C be a uniformly continuous k i -strictly asymptotically pseudocontractive mapping in the intermediate sense for some 0 k i < 1 with sequences { γ n , i } [ 0 , ) such that lim n γ n , i = 0 and { c n , i } [ 0 , ) such that lim n c n , i = 0 . Let k = max { k i : 1 i N } , γ n = max { γ n , i : 1 i N } , and c n = max { c n , i : 1 i N } . Assume that Ϝ = i = 1 N F ( T i ) EP ( ϕ ) is nonempty and bounded. Let { α n } and { β n } be sequences in [ 0 , 1 ] such that 0 < a α n 1 , 0 < δ β n 1 k for all n N , and 0 < b r n c < 2 α .

Let { x n } and { u n } be sequences generated by the following algorithm:

(1.10)

where θ n = c h ( n ) + γ h ( n ) ρ n 2 0 , as n , and ρ n = sup { x n v : v Ϝ } < . Then { x n } converges strongly to P Ϝ ( x 0 ) .

In 2011, Duan and Zhao [7] introduced new iterative schemes for finding a common solution set of a system of equilibrium problems and a solution of a fixed point set of asymptotically strict pseudocontractions in the intermediate sense and they proved these schemes converge strongly.

In 2012, Shui Ge [8] introduced a new hybrid algorithm with variable coefficients for a fixed point problem of a uniformly Lipschitz continuous mapping and asymptotically pseudocontractive mapping in the intermediate sense on unbounded domains and he proved strong convergence in a real Hilbert space.

Theorem (Ge)LetCbe a nonempty, closed, and convex subset of a real Hilbert spaceH, T : C C be a uniformlyL-Lipschitz continuous mapping and asymptotically pseudocontractive mapping in the intermediate sense with sequences { k n } [ 1 , ) and { v n } [ 0 , ) . Let q n = 2 k n 1 for each n N . Let { x n } be the sequence generated by the following hybrid algorithm with variable coefficients:

{ x 1 C   chosen arbitrarily , C 1 = C , z n = ( 1 β ˆ n ) x n + β ˆ n T n x n , y n = ( 1 α ˆ n ) x n + α ˆ n T n z n , C n = { u C n : y n u 2 x n u 2 C n = α ˆ n β ˆ n ( 1 β ˆ n β ˆ n 2 L 2 q n β ˆ n ) x n T n x n 2 + α n θ n } , x n + 1 = P C n + 1 ( x 1 ) , n N , (1.11)

where

Assume that the positive real number r 0 is chosen so that B r 0 ( x 1 ) Fix ( T ) and that { α n } and { β n } are sequences in ( 0 , 1 ) such that a α n β n b for some a > 0 and for some b ( 0 , 1 2 + L ) .

Then { x n } converges strongly to a fixed point ofT.

In this paper, motivated and inspired by the previously mentioned above results, we introduce a new iterative algorithm by the hybrid projection method for finding a common solution of a system of equilibrium problems of bifunctions satisfying certain conditions and a common solution of fixed point problems of a family of uniformly Lipschitz continuous and asymptotically λ i -strict pseudocontractive mappings in the intermediate sense in a real Hilbert space. Then, we prove a strong convergence theorem of the iterative algorithm generated by this conditions. Finally, we also give a numerical example which supports our results. The results obtained in this paper extend and improve several recent results in this area.

2 Preliminaries

Let H be a real Hilbert space with the inner product , and the norm . Let C be a closed and convex subset of H. For any point x H , there exists a unique nearest point in C, denoted by P C ( x ) , such that

x P C x x y , y C .

P C is called the metric projection of H onto C defined by the following:

P C ( x ) = arg min y C x y .

We know that P C is a nonexpansive mapping H onto C. It is also known that P C satisfies

P C x P C y 2 P C x P C y , x y , x , y H ,

and

x P C x , z P C x 0 , z C .

We will adopt the following notations:

(1) → for strong convergence and ⇀ for weak convergence.

(2) ω w ( x n ) = { x : x n j x } denotes the weak w-limit set of { x n } .

(3) A nonlinear mapping S : C C is a self-mapping in C. We denote the set of fixed points of S by F ( S ) (i.e., F ( S ) = { x C : S x = x } ). Recall the following definitions.

Definition 2.1 Let S be a mapping from C to C. Then

(1) S is said to be nonexpansive if

S x S y x y , x , y C . (2.1)

(2) S is said to be uniformly Lipschitz continuous if there exists a constant L > 0 such that

S n x S n y L x y , for all integers  n 1 , x , y C . (2.2)

(3) S is said to be asymptotically nonexpansive if there exists a sequence { k n } [ 1 , ) with k n 1 as n such that

S n x S n y k n x y , for all integers  n 1 , x , y C . (2.3)

The class of asymptotically nonexpansive mappings was introduced by Goebel and Kirk (see [9]) in 1972. It is known that if C is a nonempty, bounded, closed, and convex subset of a real Hilbert space H, then every asymptotically nonexpansive self-mapping has a fixed point. Further, the set F ( S ) of fixed points of S is closed and convex.

(4) S is said to be asymptotically nonexpansive in the intermediate sense [10,11] if it is continuous and the following inequality holds:

lim sup n sup x , y C ( S n x S n y x y ) 0 . (2.4)

Putting ξ n = max { 0 , sup x , y C ( S n x S n y x y ) } , we see that ξ n 0 as n . Then (2.4) is reduced to

S n x S n y x y + ξ n , x , y C .

The class of asymptotically nonexpansive mappings in the intermediate sense was introduced by Kirk and Bruck et al. (see [10,11]) as a generalization of the class of asymptotically nonexpansive mappings. It is known that if C is a nonempty, bounded, closed, and convex subset of a real Hilbert space H, then every asymptotically nonexpansive self-mapping in the intermediate sense has a fixed point (see [12]).

(5) S is said to be contractive if there exists a coefficient k ( 0 , 1 ) such that

S x S y k x y , x , y C . (2.5)

(6) S is said to be a λ-strict pseudocontraction if there exists a coefficient λ [ 0 , 1 ) such that

S x S y 2 x y 2 + λ ( I S ) x ( I S ) y 2 , x , y C . (2.6)

The class of strict pseudocontractions was introduced by Brower and Petryshyn (see [1]) in 1967. Clearly, if S is a nonexpansive mapping, then S is a strict pseudocontraction with λ = 0 . We also remark that if λ = 1 , then S is called a pseudocontractive mapping.

(7) S is said to be an asymptoticallyλ-strict pseudocontraction with the sequence { d n } (see also [13]) if there exists a sequence { d n } [ 0 , ) with d n 0 as n and a constant λ [ 0 , 1 ) such that

(2.7)

The class of asymptotically strict pseudocontractions was introduced by Qihou [14] in 1996. Clearly, if S is an asymptotically nonexpansive mapping, then S is an asymptotically strict pseudocontraction with λ = 0 . We also remark that if λ = 1 , then S is said to be an asymptotically pseudocontractive mapping which was introduced by Schu [15] in 1991.

(8) S is said to be an asymptoticallyλ-strict pseudocontraction in the intermediate sense with the sequence { d n } [4,5] if there exists a sequence { d n } [ 0 , ) with d n 0 as n and a constant λ [ 0 , 1 ) such that

(2.8)

Putting c n = max { 0 , sup x , y C ( S n x S n y 2 ( 1 + d n ) x y 2 λ ( x s n x ) ( y s n y ) 2 ) } , we see that c n 0 as n . Then (2.8) is reduced to

S n x S n y 2 ( 1 + d n ) x y 2 + λ ( x s n x ) ( y s n y ) 2 + c n , x , y C , n N .

The class of asymptotically strict pseudocontractions in the intermediate sense was introduced by Sahu, Xu, and Yao [4] as a generalization of a class of asymptotically strict pseudocontractions.

For solving the equilibrium problem, let us give the following assumptions for the bifunction F and the set C:

(A1) F ( x , x ) = 0 for all x C ;

(A2) F is monotone, i.e., F ( x , y ) + F ( y , x ) 0 , for all x , y C ;

(A3) for each x , y , z C , lim sup t 0 F ( t z + ( 1 t ) x , y ) F ( x , y ) ;

(A4) for each x C , y F ( x , y ) is convex and lower semicontinuous.

Lemma 2.2 ([16])

LetCbe a nonempty closed and convex subset of a real Hilbert spaceH. For any x , y , z H and given also a real number a R , the set

{ v C : y v 2 x v 2 + z , v + a }

is closed and convex.

Lemma 2.3 ([17])

LetCbe a nonempty closed and convex subset of a real Hilbert spaceH. Let F : C × C R satisfy (A1)-(A4), and let r > 0 and x H . Then there exists z C such that

F ( z , y ) + 1 r y z , z x 0 , y C .

Lemma 2.4 ([18])

Assume that F : C × C R satisfies (A1)-(A4). For r > 0 and x H , define a mapping T r : H C as follows:

T r ( x ) = { z C : F ( z , y ) + 1 r y z , z x 0 , y C } . (2.9)

Then the following hold:

(1) T r is single-valued;

(2) T r is firmly nonexpansive, i.e., for any x , y H ,

T r x T r y 2 T r x T r y , x y ; (2.10)

(3) F ( T r ) = EP ( F ) ; and

(4) EP ( F ) is closed and convex.

Lemma 2.5 ([7,19])

LetHbe a real Hilbert space. Then the following identities hold:

(i) x y 2 = x 2 y 2 2 x y , y , x , y H .

(ii) t x + ( 1 t ) y 2 = t x 2 + ( 1 t ) y 2 t ( 1 t ) x y 2 , t [ 0 , 1 ] , x , y H .

(iii) x + y 2 = x 2 + 2 y , x + y .

Lemma 2.6 ([4])

LetCbe a nonempty closed and convex subset of a real Hilbert spaceH, and S : C C be a uniformlyL-Lipschitz continuous and asymptoticallyλ-strict pseudocontraction in the intermediate sense. Then F ( S ) is closed and convex.

Lemma 2.7 ([4])

LetCbe a nonempty closed and convex subset of a real Hilbert spaceHand S : C C be a uniformlyL-Lipschitz continuous and asymptoticallyλ-strict pseudocontraction in the intermediate sense. Then the mapping I S is demiclosed at zero, that is, if the sequence { x n } inCis such that x n x ¯ and x n S x n 0 , then x ¯ F ( S ) .

Lemma 2.8 ([20])

LetCbe a nonempty closed and convex subset of a real Hilbert space H. Let { x n } be a sequence inHand u H , and let q = P C u . Suppose that { x n } is such that ω n ( x n ) C and satisfies the condition

x n u u q , n N .

Then x n q .

Lemma 2.9 ([4])

LetCbe a nonempty closed and convex subset of a real Hilbert spaceH. Let S : C C be an asymptoticallyλ-strict pseudocontractive mapping in the intermediate sense with the sequence γ n . Then

S n x S n y 1 1 λ ( λ x y + ( 1 + ( 1 λ ) γ n ) x y 2 + ( 1 λ ) c n ) ,

for all x , y C and n N .

3 Main results

In this section, we prove a strong convergence theorem which solves the problem of finding a common solution of a system of equilibrium problems and a common solution of fixed point problems in Hilbert spaces.

Theorem 3.1LetCbe a nonempty closed and convex subset of a real Hilbert spaceH. Let M 1 be a positive integer. Let { F m } m = 1 M : C × C R be a bifunction satisfying (A1)-(A4). Let { S i } i = 1 N : C C be a uniformly Lipschitz continuous and asymptotically λ i -strict pseudocontractive mapping in the intermediate sense for some 0 λ i < 1 with the sequences { c n , i } [ 0 , ) such that lim n c n , i = 0 and { d n , i } [ 0 , ) such that lim n d n , i = 0 . Let λ = max { λ i : 1 i N } , c n = max { c n , i : 1 i N } and d n = max { d n , i : 1 i N } . Assume that Ω : = ( m = 1 M SEP ( F m ) ) ( i = 1 N F ( S i ) ) is nonempty and bounded. Let { α n } , { β n } be sequences in [ 0 , 1 ] such that 0 < a α n 1 , 0 < b β n 1 λ , a , b R , n N and { r m , n } be a sequence in ( 0 , ) such that lim n r m , n > 0 .

Let { x n } be a sequence generated by the following algorithm:

{ x 1 C   chosen arbitrarily , C 1 = H , u n = T r M , n F M T r M 1 , n F M 1 T r 2 , n F 2 T r 1 , n F 1 x n , z n = ( 1 β n ) u n + β n S i ( n ) h ( n ) u n , y n = ( 1 α n ) u n + α n z n , C n + 1 = { w C n : y n w 2 x n w 2 + θ n } , x n + 1 = P C n + 1 ( x 1 ) , n N , (3.1)

where θ n = c h ( n ) + d h ( n ) ρ n 2 0 , as n and ρ n = sup { x n w : w Ω } < and n = ( h ( n ) 1 ) N + i ( n ) , where i ( n ) { 1 , 2 , 3 , , N } . Then { x n } converges strongly to some point p , where p = P Ω ( x 1 ) .

Proof The proof is split into seven steps.

Step 1. We will show that P Ω is well defined.

From Lemma 2.4, we get m = 1 M SEP ( F m ) is closed and convex. From the assumption of { S i } i = 1 N and Lemma 2.6, it follows that i = 1 N F ( S i ) is closed and convex.

Therefore, Ω : = ( m = 1 M SEP ( F m ) ) ( i = 1 N F ( S i ) ) is closed and convex. Hence, P Ω is well defined.

Step 2. We will show that C n is closed and convex for each n 1 .

By the assumption of C n + 1 , it is easy to see that C n is closed for each n 1 . We only show that C n is convex for each n 1 .

Note that C 1 = H is convex. Suppose that C k is convex for some k 1 . Next, we show that C k + 1 is convex for the same k. For each w C k , we see that

y k w 2 x k w 2 + θ k

is equivalent to

2 x k y k , w x k 2 y k 2 + θ k . (3.2)

Taking w 1 and w 2 in C k + 1 and putting w ¯ = t w 1 + ( 1 t ) w 2 , it follows that w 1 , w 2 C k , and so

2 x k y k , w 1 x k 2 y k 2 + θ k (3.3)

and

2 x k y k , w 2 x k 2 y k 2 + θ k . (3.4)

Combining (3.3) with (3.4), we obtain that

2 x k y k , w ¯ x k 2 y k 2 + θ k .

That is,

y k w ¯ 2 x k w ¯ 2 + θ k .

In view of the convexity of C k , we see that w ¯ C k . This implies that w ¯ C k + 1 . Therefore, C k + 1 is convex. Hence, C n is closed and convex for each n 1 .

Step 3. We will show that Ω C n for each n 1 .

Put Θ n m : = T r m , n F m T r m 1 , n F m 1 T r 2 , n F 2 T r 1 , n F 1 x n for every m { 1 , 2 , 3 , , M } and Θ n 0 = I for all n N . Therefore, u n = Θ n M x n . It is obvious that Ω C 1 = H . Suppose that Ω C k for some k 1 .

Next, we show that Ω C k + 1 for the same k. Taking p Ω and for each m { 1 , 2 , 3 , , M } , we see that T r m , n F m is nonexpansive and T r m , n F m p = p . We note that

u n p = Θ n M x n Θ n M p x n p , n N . (3.5)

We observe that

z n p 2 = ( 1 β n ) ( u n p ) + β n ( S i ( n ) h ( n ) ( u n p ) ) 2 = ( 1 β n ) u n p 2 + β n S i ( n ) h ( n ) u n p 2 β n ( 1 β n ) S i ( n ) h ( n ) u n u n 2 ( 1 β n ) u n p 2 + β n [ ( 1 + d h ( n ) ) u n p 2 + λ S i ( n ) h ( n ) u n u n 2 + c h ( n ) ] β n ( 1 β n ) S i ( n ) h ( n ) u n u n 2 ( 1 + d h ( n ) ) u n p 2 β n ( 1 β n λ ) S i ( n ) h ( n ) u n u n 2 + β n c h ( n ) ( 1 + d h ( n ) ) u n p 2 + β n c h ( n ) . (3.6)

By virtue of convexity of 2 , one has

y n p 2 = ( 1 α n ) ( u n p ) + α n ( z n p ) 2 ( 1 α n ) u n p 2 + α n z n p 2 . (3.7)

Substituting (3.5) and (3.6) into (3.7), we obtain

y n p 2 ( 1 α n ) u n p 2 + α n z n p 2 ( 1 α n ) u n p 2 + α n [ ( 1 + d h ( n ) ) u n p 2 + β n c h ( n ) ] u n p 2 + d h ( n ) u n p 2 + β n c h ( n ) u n p 2 + d h ( n ) x n p 2 + c h ( n ) = u n p 2 + θ n (3.8)

x n p 2 + θ n . (3.9)

Therefore, p C k + 1 , and so Ω C n for each n 1 . Hence, { x n } is well defined.

Step 4. We will show that { x n } is bounded.

Since Ω is a nonempty closed and convex subset of H, there exists a unique q Ω such that q = P Ω x 1 . By the assumption, we have x n = P C n x 1 for any q Ω C n . Then

x n x 1 q x 1 = P Ω x 1 x 1 .

This implies that { x n } is bounded. Therefore, { u n } , { z n } , and { y n } are also bounded.

Step 5. We will show that u n S i u n 0 and x n S i x n 0 as n , i { 1 , 2 , 3 , , N } .

Since x n = P C n x 1 and x n = P C n x 1 C n + 1 C n , we have

0 x 1 x n , x n x n + 1 = x 1 x n , x n x 1 + x 1 x n + 1 x 1 x n 2 + x 1 x n x 1 x n + 1 . (3.10)

Therefore, x 1 x n 2 x 1 x n x 1 x n + 1 , and so

x n x 1 = x 1 x n x 1 x n + 1 . (3.11)

Thus, the sequence { x n x 1 } is nondecreasing. Since { x n } is bounded, lim n x n x 1 exists. On the other hand, from (3.10), we have

x n x n + 1 2 = x n x 1 + x 1 x n + 1 2 = x n x 1 2 + 2 x n x 1 , x 1 x n + 1 + x 1 x n + 1 2 = x n x 1 2 + 2 x n x 1 , x 1 x n + x n x n + 1 + x 1 x n + 1 2 = x n x 1 2 2 x n x 1 2 + 2 x n x 1 , x n x n + 1 + x 1 x n + 1 2 x 1 x n + 1 2 x n x 1 2 . (3.12)

The fact that lim n x n x 1 exists implies that

lim n x n x n + 1 = 0 . (3.13)

It is easy to see that

lim n x n x n + i = 0 , i = 1 , 2 , 3 , , N .

Since x n + 1 = P C n + 1 x 1 C n + 1 , we have

y n x n + 1 2 x n x n + 1 2 + θ n .

It follows that

y n x n 2 = y n x n + 1 + x n + 1 x n 2 = y n x n + 1 2 + x n + 1 x n 2 + 2 y n x n + 1 , x n + 1 x n x n x n + 1 2 + θ n + x n + 1 x n 2 + 2 y n x n + 1 , x n + 1 x n 2 x n + 1 x n 2 + 2 y n x n + 1 x n + 1 x n + θ n . (3.14)

Since θ n 0 as n and from (3.13), we obtain

lim n x n y n = 0 . (3.15)

For each p Ω , it follows from the firmly nonexpansive T r m , n F m that for each m { 1 , 2 , 3 , , M } , we have

Θ n m x n p 2 = T r m , n F m Θ n m 1 x n T r m , n F m p 2 Θ n m x n p , Θ n m 1 x n p = 1 2 ( Θ n m x n p 2 + Θ n m 1 x n p 2 Θ n m x n Θ n m 1 x n 2 ) , for all  1 m M .

Thus, we get

Θ n m x n p 2 Θ n m 1 x n p 2 Θ n m x n Θ n m 1 x n 2 , for all  1 m M . (3.16)

This implies that for each m { 1 , 2 , 3 , , M } ,

Θ n m x n p 2 Θ n 0 x n p 2 Θ n m x n Θ n m 1 x n 2 Θ n m 1 x n Θ n m 2 x n 2 Θ n 2 x n Θ n 1 x n 2 Θ n 1 x n Θ n 0 x n 2 x n p 2 Θ n m x n Θ n m 1 x n 2 .

Therefore, by the convexity of 2 and (3.8) and the nonexpansivity of T r m , n F m , we get

y n p 2 u n p 2 + θ n = Θ n M x n Θ n M p 2 + θ n Θ n m x n p 2 + θ n x n p 2 Θ n m x n Θ n m 1 x n 2 + θ n .

It follows that

Θ n m x n Θ n m 1 x n 2 x n p 2 y n p 2 + θ n x n y n ( x n p + y n p ) + θ n . (3.17)

From (3.15) and (3.17), we obtain

lim n Θ n m x n Θ n m 1 x n = 0 , m { 1 , 2 , 3 , , M } . (3.18)

Then we have

u n x n u n Θ n M 1 x n + Θ n M 1 x n Θ n M 2 x n + + Θ n 1 x n Θ n 0 x n 0 , as  n .

Therefore,

lim n u n x n = 0 . (3.19)

From (3.13) and (3.19), we get

u n + 1 u n u n + 1 x n + 1 + x n + 1 x n + x n u n 0 , as  n . (3.20)

It follows that

lim n u n + i u n = 0 , i { 1 , 2 , 3 , , N } . (3.21)

Since for any positive integer n N , we can write n = ( h ( n ) 1 ) N + i ( n ) , where i ( n ) { 1 , 2 , 3 , , N } , note that

u n S n u n u n S i ( n ) h ( n ) u n + S i ( n ) h ( n ) u n S n u n = u n S i ( n ) h ( n ) u n + S i ( n ) h ( n ) u n S i ( n ) u n . (3.22)

From the conditions 0 < a α n 1 and 0 < b β n 1 λ , we get

u n S i ( n ) h ( n ) u n = 1 β n z n u n = 1 α n β n y n u n 1 a b ( y n x n + x n u n ) .

From (3.15) and (3.19), we obtain

lim n u n S i ( n ) h ( n ) u n = 0 . (3.23)

It is obvious that the relations h ( n ) = h ( n N ) + 1 and i ( n ) = i ( n N ) hold.

Therefore, we compute

S i ( n ) h ( n ) 1 u n u n S i ( n ) h ( n ) 1 u n S i ( n N ) h ( n ) 1 u n N + 1 + S i ( n N ) h ( n ) 1 u n N + 1 S i ( n N ) h ( n N ) u n N + S i ( n N ) h ( n N ) u n N u n N + u n N u n N + 1 + u n N + 1 u n = S i ( n ) h ( n ) 1 u n S i ( n ) h ( n ) 1 u n N + 1 + S i ( n N ) h ( n N ) u n N + 1 S i ( n N ) h ( n N ) u n N + S i ( n N ) h ( n N ) u n N u n N + u n N u n N + 1 + u n N + 1 u n .

Applying Lemma 2.9 and (3.21), we get

lim n u n S i ( n ) h ( n ) 1 u n = 0 . (3.24)

From (3.22) and (3.24), it follows that

lim n u n S n u n = 0 . (3.25)

Since

u n S n + i u n u n u n + i + u n + i S n + i u n + i + S n + i u n + i S n + i u n 0 , as  n

for any i { 1 , 2 , 3 , , N } , which gives that

lim n u n S i u n = 0 , i { 1 , 2 , 3 , , N } . (3.26)

Moreover, for each i { 1 , 2 , 3 , , N } , we obtain

x n S i x n x n u n + u n S i u n + S i u n S i x n 0 , as  n .

This implies that

lim n x n S i x n = 0 , i { 1 , 2 , 3 , , N } . (3.27)

Step 6. We will show that p Ω : = ( i = 1 N F ( S i ) ) ( m = 1 M SEP ( F m ) ) .

(6.1) We will show that p i = 1 N F ( S i ) .

We take p ω w ( x n ) and assume that x n j p for some subsequence { x n j } of { x n } .

Note that S i is uniformly Lipschitz continuous and (3.27), we obtain

lim n x n S i k x n = 0 , k N . (3.28)

It follows from Lemma 2.7 that

p i = 1 N F ( S i ) . (3.29)

(6.2) We will show that p m = 1 M SEP ( F m ) .

By Lemma 2.3, for each m { 1 , 2 , 3 , , M } , we have

F m ( Θ n m x n , y ) + 1 r n y Θ n m x n , Θ n m x n Θ n m 1 x n 0 , y C .

From (A2), we get

1 r n y Θ n m x n , Θ n m x n Θ n m 1 x n F m ( y , Θ n m x n ) , y C .

Taking n = n j , we get

y Θ n j m x n j , Θ n j m x n j Θ n j m 1 x n j r n j F m ( y , Θ n j m x n j ) , y C .

From (3.18), we obtain that Θ n j m x n j p as j for each m { 1 , 2 , 3 , , M } (especially u n j = Θ n j M x n j ). Considering this together with (3.18) and (A4), we have for each m { 1 , 2 , 3 , , M } that

0 F m ( y , p ) , y C .

For any 0 < t 1 and y C , we let y t = t y + ( 1 t ) p . Since y C and p C , we obtain that y t C , and so F m ( y t , p ) 0 . It follows that

0 = F m ( y t , y t ) t F m ( y t , y ) + ( 1 t ) F m ( y t , p ) t F m ( y t , y ) .

Dividing by t, for each m { 1 , 2 , 3 , , M } , we get

F m ( y t , y ) 0 , y C .

Letting t 0 , from (A3), we get

F m ( p , y ) 0 , y C .

Therefore, p m = 1 M SEP ( F m ) , and so p Ω .

Step 7. We will show that { x n } converges strongly to P Ω x 1 .

Set p = P Ω ( x 1 ) , then

x n + 1 x 1 p x 1 , n N .

Since Ω is a nonempty closed and convex subset of H, there exists a unique p Ω such that p = P Ω ( x 1 ) . It follows from Lemma 2.8 that x n p , where p = P Ω ( x 1 ) . This completes proof. □

4 Deduced theorems

If we take M = 1 in Theorem 3.1, then we obtain the following result.

Theorem 4.1LetCbe a nonempty closed and convex subset of a real Hilbert spaceH. Let M 1 be a positive integer. Let F : C × C R be a bifunction satisfying (A1)-(A4). Let { S i } i = 1 N : C C be a uniformly Lipschitz continuous and asymptotically λ i -strict pseudocontractive mapping in the intermediate sense for some 0 λ i < 1 with the sequences { c n , i } [ 0 , ) such that lim n c n , i = 0 and { d n , i } [ 0 , ) such that lim n d n , i = 0 . Let λ = max { λ i : 1 i N } , c n = max { c n , i : 1 i N } and d n = max { d n , i : 1 i N } . Assume that Ω : = EP ( F ) ( i = 1 N F ( S i ) ) is nonempty and bounded. Let { α n } , { β n } be sequences in [ 0 , 1 ] such that 0 < a α n 1 , 0 < b β n 1 λ , a , b R , n N , { r m , n } be a sequence in ( 0 , ) such that lim n r m , n > 0 .

Let { x n } be a sequence generated by the following algorithm:

{ x 1 C   chosen arbitrarily , C 1 = H , u n = T r n F x n , z n = ( 1 β n ) u n + β n S i ( n ) h ( n ) u n , y n = ( 1 α n ) u n + α n z n , C n + 1 = { w C n : y n w 2 x n w 2 + θ n } , x n + 1 = P C n + 1 ( x 1 ) , n N , (4.1)

where θ n = c h ( n ) + d h ( n ) ρ n 2 0 , as n and ρ n = sup { x n w : w Ω } < and n = ( h ( n ) 1 ) N + i ( n ) , where i ( n ) { 1 , 2 , 3 , , N } . Then { x n } converges strongly to some point p , where p = P Ω ( x 1 ) .

Remark 4.2 Theorem 4.1 improves and extends the theorem of Tada and Takahashi [21] and the corollary of Duan and Zhao [7].

If we set F m 0 and r m , n = 1 for all m { 1 , 2 , 3 , , N } in Theorem 3.1, then we obtain the following result.

Theorem 4.3LetCbe a nonempty closed and convex subset of a real Hilbert spaceH. Let M 1 be a positive integer. Let { S i } i = 1 N : C C be a uniformly Lipschitz continuous and asymptotically λ i -strict pseudocontractive mapping in the intermediate sense for some 0 λ i < 1 with the sequences { c n , i } [ 0 , ) such that lim n c n , i = 0 and { d n , i } [ 0 , ) such that lim n d n , i = 0 . Let λ = max { λ i : 1 i N } , c n = max { c n , i : 1 i N } and d n = max { d n , i : 1 i N } . Assume that Ω : = i = 1 N F ( S i ) is nonempty and bounded. Let { α n } , { β n } be sequences in [ 0 , 1 ] such that 0 < a α n 1 , 0 < b β n 1 λ , a , b R , n N , { r m , n } be a sequence in ( 0 , ) such that lim n r m , n > 0 .

Let { x n } be a sequence generated by the following algorithm:

{ x 1 C   chosen arbitrarily , C 1 = H , z n = ( 1 β n ) x n + β n S i ( n ) h ( n ) x n , y n = ( 1 α n ) x n + α n z n , C n + 1 = { w C n : y n w 2 x n w 2 + θ n } , x n + 1 = P C n + 1 ( x 1 ) , n N , (4.2)

where θ n = c h ( n ) + d h ( n ) ρ n 2 0 , as n and ρ n = sup { x n w : w Ω } < and n = ( h ( n ) 1 ) N + i ( n ) , where i ( n ) { 1 , 2 , 3 , , N } . Then { x n } converges strongly to some point p , where p = P Ω ( x 1 ) .

Remark 4.4 Theorem 4.1 improves and extends the theorem of Sahu, Xu, and Yao [4], the theorem of Qin, Cho, Kang, and Shang [3] and the corollary of Duan and Zhao [7].

5 Numerical examples

In this section, in order to demonstrate the effectiveness, realization and convergence of algorithm of Theorem 3.1, we consider the following simple example that was presented in reference [4].

Example 5.1 Let x R and C = [ 0 , 1 ] . For each x C , we define

S x = { k x , if  x [ 0 , 1 2 ] ; 0 , if  x ( 1 2 , 1 ] ,

where 0 < k < 1 .

It is easy to see that S : C C is discontinuous at x = 1 2 and S is not Lipschitz continuous.

Set C 1 = [ 0 , 1 2 ] and C 2 = ( 1 2 , 1 ] .

For each x , y C 1 , we have

| S n x S n y | = k n | x y | | x y | , x , y C 1  and  n N .

For each x , y C 2 , we have

| S n x S n y | = 0 | x y | , x , y C 2  and  n N .

For each x C 1 and y C 2 , we have

| S n x S n y | = | k n x 0 | | k n ( x y ) + k n y | k n | x y | + k n | y | | x y | + k n , n N .

It follows that

| S n x S n y | 2 ( | x y | + k n ) 2 | x y | 2 + k | x S n x ( y S n y ) | 2 + k n K ,

for all x , y C and n N and for some K > 0 .

Therefore, S is an asymptotically k-strict pseudocontractive mapping in the intermediate sense.

In Theorem 3.1, we set N = 1 , F m 0 , β n = 1 k , α n = n + 1 2 n . We apply it to find the fixed point of S of Example 5.1.

Under the above assumption in Theorem 3.1 is simplified as follows:

{ x 1 H  chosen arbitrarily , C 1 = H , z n = k x n + ( 1 k ) S n x n , y n = ( n 1 2 n ) x n + ( n + 1 2 n ) z n , C n + 1 = { w C n : y n w 2 x n w 2 + θ n } , x n + 1 = P C n + 1 x 1 , n N . (5.1)

In fact, in one-dimensional case, C n + 1 is a closed interval. If we set [ a n + 1 , b n + 1 ] : = C n + 1 , then the projection point x n + 1 of x 1 C onto C n + 1 can be expressed as

x n + 1 = P Ω ( x 1 ) { x 1 , if  x 1 [ a n + 1 , b n + 1 ] ; b n + 1 , if  x 1 > b n + 1 ; a n + 1 , if  x 1 < a n + 1 .

The numerical results for an initial guess x 1 = 0.2 , 0.5 , 0.8 are shown in Table 1. From the table, we see that the iterations converge to 0 which is the unique fixed point of S. The convergence of each iteration is also shown in Figure 1 for comparison.

thumbnailFigure 1. The convergence comparison of different initial values x 1 .

Table 1. The numerical results for an initial guess x 1 = 0.2 , 0.5 , 0.8

Competing interests

The authors declare that they have no competing interests.

Authors’ contributions

All authors contributed equally and significantly in this research. All authors read and approved the final manuscript.

Acknowledgements

This research was supported by the Faculty of Science, KMUTT Research Fund 2553-2554.

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