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Convergence theorems for equilibrium problem and asymptotically quasi-ϕ-nonexpansive mappings in the intermediate sense

Abstract

In this paper, we introduce an iterative process which converges strongly to a common element of the set of fixed points of an asymptotically quasi-ϕ-nonexpansive mapping in the intermediate sense and the solution set of generalized equilibrium problem in Banach spaces. Our theorems improve, generalize, and extend several results recently announced.

MSC:47H05, 47H09, 47H10.

1 Introduction

Let E be a real Banach space with the dual space E . Let C be a nonempty closed convex subset of E. Let T:CC be a nonlinear mapping. We denote by F(T) the set of fixed points of T.

A mapping T is said to be asymptotically nonexpansive if there exists a sequence { k n }[1,) with k n 1 as n such that

T n x T n y k n xy,x,yC,n1.

The class of asymptotically nonexpansive mappings was introduced by Goebel and Kirk [1] in 1972. In uniformly convex Banach spaces, they proved that if C is nonempty, bounded, closed, and convex, then every asymptotically nonexpansive self-mapping T on C has a fixed point. Further, the fixed point set of T is closed and convex.

A mapping T is said to be asymptotically nonexpansive in the intermediate sense (see [2]) if it is continuous and the following inequality holds:

lim sup n sup x , y C ( T n x T n y x y ) 0.
(1.1)

If F(T)ϕ and (1.1) holds for all xK, yF(T), then T is called asymptotically quasi-nonexpansive in the intermediate sense. It is well known that if C is a nonempty closed convex bounded subset of a uniformly convex Banach space E and T is a self-mapping of C which is asymptotically nonexpansive in the intermediate sense, then T has a fixed point (see [3]). It is worth mentioning that the class of mappings which are asymptotically nonexpansive in the intermediate sense contains properly the class of asymptotically nonexpansive mappings.

Iterative approximation of a fixed point for asymptotically nonexpansive mappings in Hilbert or Banach spaces has been studied extensively by many authors (see [46] and the references therein).

Let E be a smooth Banach space. The function ϕ:E×ER defined by

ϕ(x,y)= x 2 2x,Jy+ y 2 ,x,yE,

is studied by Alber [7]. It follows from the definition of ϕ that

( x y ) 2 ϕ(x,y) ( x + y ) 2 ,x,yE.
(1.2)

Remark 1.1

  1. (i)

    If E is a reflexive, strictly convex and smooth Banach space, then for x,yE, ϕ(x,y)=0 if and only if x=y.

  2. (ii)

    If E is a real Hilbert space, then ϕ(x,y)= x y 2 .

Let E be reflexive, strictly convex and smooth Banach space. The generalized projection mapping, introduced by Alber [7], is a mapping Π C :EC that assigns to an arbitrary point xE the minimum point of the functional ϕ(y,x), that is, Π C x= x ¯ , where is x ¯ is the solution to the minimization problem

ϕ( x ¯ ,x)= inf y C ϕ(y,x).

A point p in C is said to be an asymptotic fixed point of T if C contains a sequence { x n } which converges weakly to p such that lim n x n T x n =0. The set of asymptotic fixed points of T will be denoted by F ˜ (T). A mapping T is called relatively nonexpansive (see [8]) if F ˜ (T)=F(T) and ϕ(p,Tx)ϕ(p,x) for all xC and pF(T).

Recently, Matsushita and Takahashi [9] proved strong convergence theorems for approximation of fixed points of relatively nonexpansive mappings in a uniformly convex and uniformly smooth Banach space. More precisely, they proved the following theorem.

Theorem 1.1 Let E be a uniformly convex and uniformly smooth Banach space, let C be a nonempty closed convex subset of E, let T be a relatively nonexpansive mapping from C into itself and let { α n } be a sequence of real numbers such that 0 α n 1 and lim sup n α n <1. Suppose that { x n } is given by

{ x 0 = x C , y n = J 1 ( α n J x n + ( 1 α n ) J T x n ) , H n = { z C : ϕ ( z , y n ) ϕ ( z , x n ) } , W n = { z C : x n z , J x J x n 0 } , x n + 1 = Π H n W n x 0 , n = 0 , 1 , 2 , ,
(1.3)

where J is the normalized duality mapping on E. If F(T) is nonempty, then { x n } converges strongly to Π F ( T ) x 0 .

In [10], Hao introduced the following iterative scheme for approximating a fixed point of asymptotically quasi-ϕ-nonexpansive mappings in the intermediate sense in a reflexive, strictly convex and smooth Banach space E: x 0 E, C 1 =C, x 1 = Π C 1 x 0 ,

{ y n = J 1 ( α n J x n + ( 1 α n ) J T n x n ) , C n + 1 = { z C n : ϕ ( z , y n ) ϕ ( z , x n ) + ξ n } , x n + 1 = Π C n + 1 x 1 , n = 1 , 2 , ,

where ξ n =max{0, sup p F ( T ) , x C (ϕ(p, T n x)ϕ(p,x))}.

Motivated and inspired by the works mentioned above, in this paper, we introduce a new iterative scheme of the generalized f-projection operator for finding a common element of the set of fixed points of asymptotically quasi-ϕ-nonexpansive mappings in the intermediate sense and the solution set of generalized equilibrium problem in a uniformly smooth and strictly convex Banach space with the Kadec-Klee property.

2 Preliminaries

Let E be a real Banach space with the norm and let E be the dual space of E. The normalized duality mapping J:E 2 E is defined by

J(x)= { f E : x , f = x 2 = f 2 } .

By the Hahn-Banach theorem, J(x) is nonempty.

A Banach space E is called strictly convex if x + y 2 <1 for all x,yU with xy, where U={xE:x=1} is the unit sphere of E. A Banach space E is called smooth if the limit

lim t x + t y x t

exists for each x,yU. It is also called uniformly smooth if the limit exists uniformly for all x,yU. In this paper, we denote the strong convergence and weak convergence of a sequence { x n } by x n x and x n x, respectively.

Remark 2.1 The basic properties of a Banach space E related to the normalized duality mapping J are as follows (see [11]):

  1. (1)

    If E is a smooth Banach space, then J is single-valued and semicontinuous;

  2. (2)

    If E is a uniformly smooth Banach space, then J is uniformly norm-to-norm continuous on each bounded subset of E;

  3. (3)

    If E is a uniformly smooth Banach space, then E is smooth and reflexive;

  4. (4)

    If E is a reflexive and strictly convex Banach space, then J 1 is norm-weak-continuous;

  5. (5)

    E is a uniformly smooth Banach space if and only if E is uniformly convex.

Recall that a Banach space E has the Kadec-Klee property if for any sequence { x n }E and xE with x n x and x n x, then x n x0 as n. It is well known that if E is a uniformly convex Banach space, then E has the Kadec-Klee property.

Definition 2.1 A mapping T:CC is said to be

  1. (1)

    quasi-ϕ-nonexpansive if F(T)ϕ and

    ϕ(p,Tx)ϕ(p,x)

    for all xC and pF(T);

  2. (2)

    asymptotically quasi-ϕ-nonexpansive in the intermediate sense if F(T)ϕ and

    lim sup n sup p F ( T ) , x C ( ϕ ( p , T n x ) ϕ ( p , x ) ) 0

put

ξ n =max { 0 , sup p F ( T ) , x C ( ϕ ( p , T n x ) ϕ ( p , x ) ) } .

Remark 2.2 From the definition of asymptotically quasi-ϕ-nonexpansiveness in the intermediate sense, it is obvious that ξ n 0 as n and

ϕ ( p , T n x ) ϕ(p,x)+ ξ n ,pF(T),xC.

Recall that T is said to be asymptotically regular on C if for any bounded subset K of C,

lim sup n { T n + 1 x T n x : x K } =0.

Definition 2.2 A mapping T:CC is said to be closed if for any sequence { x n }C with x n x and T x n y, Tx=y.

Following Alber [7], the generalized projection Π C :EC is defined by

Π C (x)= { u C : ϕ ( u , x ) = min y C ϕ ( y , x ) } ,xE.

In 2006, Wu and Huang [12] introduced a generalized f-projection operator in a Banach space, which extends the definition of the generalized projection Π C . Let G:C× E R{+} be a functional defined as follows:

G(y, w ¯ )= y 2 2y, w ¯ + w ¯ 2 +2ρf(y)

for all (y, w ¯ )C× E , where ρ is a positive number and f:CR{+} is proper, convex, and lower semicontinuous. From the definition of G, it is easy to see the following properties:

  1. (i)

    G(y, w ¯ ) is convex and continuous with respect to w ¯ when y is fixed;

  2. (ii)

    G(y, w ¯ ) is convex and lower semicontinuous with respect to y when w ¯ is fixed.

Definition 2.3 ([13])

Let E be a real smooth Banach space and let C be a nonempty closed and convex subset of E. We say that Π C f :E 2 C is a generalized f-projection operator if

Π C f x= { u C : G ( u , J x ) = inf y C G ( y , J x ) , x E } .

Lemma 2.1 ([14])

Let E be a Banach space and f:ER{+} be a lower semicontinuous and convex function. Then there exist x E and αR such that

f(x) x , x +α

for all xE.

Lemma 2.2 ([13])

Let E be a reflexive smooth Banach space and let C be a nonempty closed convex subset of E. The following statements hold:

  1. (1)

    Π C f x is a nonempty closed convex subset of C for all xE;

  2. (2)

    For all xF, x ¯ Π C f x if and only if

    x ¯ y,JxJ x ¯ +ρf(y)ρf( x ¯ )0

for all yC;

  1. (3)

    If E is strictly convex, then Π C f is a single-valued mapping.

Let θ be a bifunction from C×C to , where denotes the set of real numbers. The equilibrium problem is to find x ¯ C such that

θ( x ¯ ,y)0
(2.1)

for all yC. The set of solutions of (2.1) is denoted by EP(θ).

For solving the equilibrium problem for a bifunction θ:C×CR, let us assume that θ satisfies the following conditions:

(A1) θ(x,x)=0 for all xC;

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

(A3) for all x,y,zC,

lim t 0 θ ( t z + ( 1 t ) x , y ) θ(x,y);

(A4) for all xC, yθ(x,y) is convex and lower semicontinuous.

Lemma 2.3 ([15])

Let C be a closed convex subset of a uniformly smooth, strictly convex, and reflexive Banach space E and let θ be a bifunction from C×C to satisfying the conditions (A1)-(A4). For all r>0 and xE, define a mapping T r θ :EC as follows:

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

Then the following conclusions hold:

  1. (1)

    T r θ is single-valued;

  2. (2)

    T r θ is a firmly nonexpansive-type mapping, i.e., for all x,yE,

    T r θ x T r θ y , J T r θ x J T r θ y T r θ x T r θ y , J x J y ;
  3. (3)

    F( T r θ )=EP(θ) is closed and convex;

  4. (4)

    T r θ is quasi-ϕ-nonexpansive;

  5. (5)

    ϕ(q, T r θ x)+ϕ( T r θ x,x)ϕ(q,x), qF( T r θ ).

Lemma 2.4 ([10])

Let E be a reflexive, strictly convex and smooth Banach space such that both E and E have the Kadec-Klee property. Let C be a nonempty closed convex subset of E. Let T:CC be a closed and asymptotically quasi-ϕ-nonexpansive mapping in the intermediate sense. Then F(T) is a closed convex subset of C.

Lemma 2.5 ([13])

Let E be a real reflexive smooth Banach space and let C be a nonempty closed and convex subset of E. Then, for any xE and x ¯ Π C f x,

ϕ(y, x ¯ )+G( x ¯ ,Jx)G(y,Jx)

for all yC.

3 Main results

Theorem 3.1 Let E be a uniformly smooth and strictly convex Banach space with the Kadec-Klee property. Let C be a nonempty closed convex subset of E. Let θ be a bifunction from C×C to satisfying the conditions (A1)-(A4). Let T:CC be a closed and asymptotically quasi-ϕ-nonexpansive mapping in the intermediate sense. Assume that T is asymptotically regular on C, F=F(T)EP(θ) is nonempty, and F(T) is bounded. Let f:E R + be a convex and lower semicontinuous function with Cint(D(f)) and f(0)=0. Let { α n } be a sequence in [0,1] and { β n }, { γ n } be sequences in (0,1) satisfying the following conditions:

  1. (i)

    α n + β n + γ n =1;

  2. (ii)

    lim n α n =0;

  3. (iii)

    0< lim inf n β n lim sup n β n <1.

Let { x n } be a sequence generated by

{ x 1 E  chosen arbitrarily , C 1 = C , y n = J 1 ( α n J x 1 + β n J T n x n + γ n J x n ) , u n C  such that  θ ( u n , y ) + 1 r n y u n , J u n J y n 0 , y C , C n + 1 = { z C n : G ( z , J u n ) α n G ( z , J x 1 ) + ( 1 α n ) G ( z , J x n ) + ξ n } , x n + 1 = Π C n + 1 f x 1 , n 1 ,
(3.1)

where ξ n =max{0, sup p F ( T ) , x C (ϕ(p, T n x)ϕ(p,x))}, { r n } is a real sequence in [a,) for some a>0 and Π C n + 1 f is the generalized f-projection operator. Then { x n } converges strongly to Π F f x 1 .

Proof It follows from Lemma 2.3 and Lemma 2.4 that is a closed convex subset of C, so that Π F f x is well defined for any xC.

We split the proof into six steps.

Step 1. We first show that C n is nonempty, closed, and convex for all n1.

In fact, it is obvious that C 1 =C is closed and convex. Suppose that C n is closed and convex for some n2. For z 1 , z 2 C n + 1 , we see that z 1 , z 2 C n . It follows that z=t z 1 +(1t) z 2 C n , where t(0,1). Notice that

G( z 1 ,J u n ) α n G( z 1 ,J x 1 )+(1 α n )G( z 1 ,J x n )+ ξ n ,

and

G( z 2 ,J u n ) α n G( z 2 ,J x 1 )+(1 α n )G( z 2 ,J x n )+ ξ n .

The above inequalities are equivalent to

2 α n z 1 , J x 1 + 2 ( 1 α n ) z 1 , J x n 2 z 1 , J u n α n x 1 2 + ( 1 α n ) x n 2 u n 2 + ξ n
(3.2)

and

2 α n z 2 , J x 1 + 2 ( 1 α n ) z 2 , J x n 2 z 2 , J u n α n x 1 2 + ( 1 α n ) x n 2 u n 2 + ξ n .
(3.3)

Multiplying t and 1t on both sides of (3.2) and (3.3), respectively, we obtain

2 α n z , J x 1 + 2 ( 1 α n ) z , J x n 2 z , J u n α n x 1 2 + ( 1 α n ) x n 2 u n 2 + ξ n .

Hence we have

G(z,J u n ) α n G(z,J x 1 )+(1 α n )G(z,J x n )+ ξ n .

This implies that C n + 1 is closed and convex for all n1. This shows that Π C n + 1 f x 1 is well defined.

Step 2. We show that F C n for all n1.

For n=1, we have F C 1 =C. Now, assume that F C n for some n2. Let qF. Since T is asymptotically quasi-ϕ-nonexpansive with intermediate sense, we have from Remark 2.2 and Lemma 2.3 that

G ( q , J u n ) = G ( q , J T r n θ y n ) = ϕ ( q , T r n θ y n ) + 2 ρ f ( q ) ϕ ( q , y n ) + 2 ρ f ( q ) = G ( q , J y n ) = G ( q , α n J x 1 + β n J T n x n + γ n J x n ) = q 2 2 α n q , J x 1 2 β n q , J T n x n 2 γ n q , J x n + α n J x 1 + β n J T n x n + γ n J x n 2 + 2 ρ f ( q ) q 2 2 α n q , J x 1 2 β n q , J T n x n 2 γ n q , J x n + α n J x 1 2 + β n J T n x n 2 + γ n J x n 2 + 2 ρ f ( q ) = α n G ( q , J x 1 ) + β n G ( q , J T n x n ) + γ n G ( q , J x n ) = α n G ( q , J x 1 ) + β n { ϕ ( q , T n x n ) + 2 ρ f ( q ) } + γ n G ( q , J x n ) α n G ( q , J x 1 ) + β n { ϕ ( q , x n ) + ξ n + 2 ρ f ( q ) } + γ n G ( q , J x n ) α n G ( q , J x 1 ) + β n G ( q , J x n ) + γ n G ( q , J x n ) + ξ n = α n G ( q , J x 1 ) + ( 1 α n ) G ( q , J x n ) + ξ n ,

which shows that q C n + 1 . This implies that F C n + 1 and so F C n for all n1.

Step 3. We prove that { x n } is bounded and lim n G( x n ,J x 1 ) exists.

By Lemma 2.1, we have the result that there exist x E and αR such that

f(x) x , x +α.

Since x n C n E, it follows that

G ( x n , J x 1 ) = x n 2 2 x n , J x 1 + x 1 2 + 2 ρ f ( x n ) x n 2 2 x n , J x 1 + x 1 2 + 2 ρ x n , x + 2 ρ α = x n 2 2 x n , J x 1 ρ x + x 1 2 + 2 ρ α x n 2 2 x n J x 1 ρ x + x 1 2 + 2 ρ α = ( x n J x 1 ρ x ) 2 + x 1 2 J x 1 ρ x 2 + 2 ρ α .

For all qF and x n = Π C n f 1 x 1 , we have

G ( q , J x 1 ) G ( x n , J x 1 ) ( x n J x 1 ρ x ) 2 + x 1 J x 1 ρ x 2 + 2 ρ α .

This implies that the sequence { x n } is bounded and so is {G( x n ,J x 1 )}. From (1.2) and Lemma 2.5, we obtain

0 ( x n + 1 x n ) 2 ϕ( x n + 1 , x n )G( x n + 1 ,J x 1 )G( x n ,J x 1 ).
(3.4)

This shows that {G( x n ,J x 1 )} is nondecreasing. It follows from the boundedness that lim n G( x n ,J x 1 ) exists.

Step 4. Next, we prove that x n x ¯ , y n x ¯ , and u n x ¯ as n, where x ¯ is some point in C.

By (3.4), we obtain

lim n ϕ( x n + 1 , x n )=0.
(3.5)

Since { x n } is bounded and E is reflexive, we may assume that x n x ¯ as n. Since C n is closed and convex, we find that x ¯ C n . From the weak lower semicontinuity of the norm and x n = Π C n f x 1 , we obtain

G ( x ¯ , J x 1 ) = x ¯ 2 2 x ¯ , J x 1 + x 1 2 + 2 ρ f ( x ¯ ) lim inf n { x n 2 2 x n , J x 1 + x 1 2 + 2 ρ f ( x n ) } = lim inf n G ( x n , J x 1 ) lim sup n G ( x n , J x 1 ) G ( x ¯ , J x 1 ) ,

which implies that lim n G( x n ,J x 1 )=G( x ¯ ,J x 1 ). From Lemma 2.5, we obtain

0 ( x ¯ x n ) 2 ϕ ( x ¯ , x n ) G ( x ¯ , J x 1 ) G ( x n , J x 1 ) .

Hence we have lim n x n = x ¯ . In view of the Kadec-Klee property of E, we find that

lim n x n = x ¯ .
(3.6)

And we have

lim n x n x n + 1 =0.

Since J is uniformly norm-to-norm continuous, it follows that

lim n J x n J x n + 1 =0.

From x n + 1 = Π C n + 1 f x 1 C n + 1 C n and (3.1), we have

G( x n + 1 ,J u n ) α n G( x n + 1 ,J x 1 )+(1 α n )G( x n + 1 ,J x n )+ ξ n .

This is equivalent to the following:

ϕ( x n + 1 , u n ) α n ϕ( x n + 1 , x 1 )+(1 α n )ϕ( x n + 1 , x n )+ ξ n .
(3.7)

Due to (3.5), (3.7), the assumption (ii), and Remark 2.2, we have

lim n ϕ( x n + 1 , u n )=0.

By (1.2), it follows that

u n x ¯
(3.8)

as n. Since J is uniformly norm-to-norm continuous, we obtain

J u n J x ¯
(3.9)

as n. This implies that {J u n } is bounded in E . Since E is reflexive, we assume that J u n u ¯ E as n. In view of J(E)= E , there exists uE such that Ju= u ¯ . This implies that J u n Ju. We have

ϕ ( x n + 1 , u n ) = x n + 1 2 2 x n + 1 , J u n + u n 2 = x n + 1 2 2 x n + 1 , J u n + J u n 2 .

Taking lim inf n on both sides of the equality above, this yields

0 x ¯ 2 2 x ¯ , u ¯ + u ¯ 2 = x ¯ 2 2 x ¯ , J u + J u 2 = x ¯ 2 2 x ¯ , J u + u 2 = ϕ ( x ¯ , u ) ,

which shows that x ¯ =u and so J u n J x ¯ . It follows from (3.9) and the Kadec-Klee property of E that J u n J x ¯ as n. Since J 1 is norm-weak-continuous, we have

u n x ¯ .
(3.10)

From (3.8), (3.10), and the Kadec-Klee property of E, we have

lim n u n = x ¯ .
(3.11)

On the other hand, we see from the weak lower semicontinuity of the norm that

ϕ ( q , x ¯ ) = q 2 2 q , J x ¯ + x ¯ 2 lim inf n ( q 2 2 q , J u n + u n 2 ) = lim inf n ϕ ( q , u n ) lim sup n ϕ ( q , u n ) = lim sup n ( q 2 q , J u n + u n 2 ) ϕ ( q , x ¯ ) ,

which implies that

lim n ϕ(q, u n )=ϕ(q, x ¯ ).
(3.12)

By (3.6) and (3.11), we obtain lim n x n u n =0. The uniform continuity of J on bounded sets gives

lim n J x n J u n =0.
(3.13)

Now, using the definition of ϕ, we have, for all qF,

ϕ ( q , x n ) ϕ ( q , u n ) = x n 2 u n 2 2 q , J x n J u n x n u n ( x n + u n ) + 2 q J x n J u n .

From (3.13), we obtain

ϕ(q, x n )ϕ(q, u n )0

as n. By (3.12), it follows that

lim n ϕ(q, x n )=ϕ(q, x ¯ ).
(3.14)

Hence, for any qF C n , it follows from the convexity of 2 and Lemma 2.3 that

ϕ ( q , u n ) = ϕ ( q , T r n θ y n ) ϕ ( q , y n ) = ϕ ( q , J 1 ( α n J x 1 + β n J T n x n + γ n J x n ) ) = q 2 2 q , α n J x 1 + β n J T n x n + γ n J x n + α n J x 1 + β n J T n x n + γ n J x n 2 q 2 α n q , J x 1 2 β n q , J T n x n 2 γ n q , J x n + α n J x 1 2 + β n J T n x n 2 + γ n J x n 2 = α n ϕ ( q , x 1 ) + β n ϕ ( q , T n x n ) + γ n ϕ ( q , x n ) α n ϕ ( q , x 1 ) + β n ( ϕ ( q , x n ) + ξ n ) + γ n ϕ ( q , x n ) α n ϕ ( q , x 1 ) + ( 1 α n ) ϕ ( q , x n ) + ξ n .
(3.15)

From (3.12), (3.14), (3.15), Remark 2.2, and the assumption (ii), we obtain

lim n ϕ(q, y n )=ϕ(q, x ¯ ).

From Lemma 2.3, we see that for any qF and u n = T r n θ y n ,

ϕ ( u n , y n ) = ϕ ( T r n θ y n , y n ) ϕ ( q , y n ) ϕ ( q , T r n θ y n ) = ϕ ( q , y n ) ϕ ( q , u n ) .

Taking n on both sides of the inequality above, we have

lim n ϕ( u n , y n )=0.

From (1.2), we have ( u n y n ) 2 0 as n. By (3.8), we have

y n x ¯
(3.16)

as n, and so

J y n J x ¯
(3.17)

as n. That is, {J y n } is bounded in E . Since E is reflexive, we can assume that J y n y E as n. In view of J(E)= E , there exists yE such that Jy= y . It follows that

ϕ ( u n , y n ) = u n 2 2 u n , J y n + y n 2 = u n 2 2 u n , J y n + J y n 2 .

Taking lim inf n on both sides of the equality above, it follows that

0 x ¯ 2 2 x ¯ , y + y 2 = x ¯ 2 2 x ¯ , J y + J y 2 = x ¯ 2 2 x ¯ , J y + y 2 = ϕ ( x ¯ , y ) .

From Remark 1.1, x ¯ =y, i.e., y =J x ¯ . It follows that J y n J x ¯ E as n. From (3.17) and the Kadec-Klee property of E , we have

J y n J x ¯

as n. Since J 1 is norm-weak-continuous, y n x ¯ as n. From (3.16) and the Kadec-Klee property of E, we have

lim n y n = x ¯ .

Step 5. We show that x ¯ F.

By Step 4, we get

lim n u n y n =0.

The uniform continuity of J on bounded sets gives

lim n J u n J y n =0.
(3.18)

From the assumption r n a and (3.18), we see that J u n J y n r n 0 as n. But from (A2) and (3.1), we note that

1 r n y u n ,J u n J y n θ( u n ,y)θ(y, u n ),yC

and hence

y u n J u n J y n r n θ(y, u n ),yC,

which implied that θ(y, x ¯ )0 for all yC. Put y t =ty+(1t) x ¯ for all t(0,1] and yC. Then we get y t C and θ( y t , x ¯ )0. Therefore, from (A1) and (A4), we obtain

0 = θ ( y t , y t ) t θ ( y t , y ) + ( 1 t ) θ ( y t , x ¯ ) t θ ( y t , y ) .

Thus, θ( y t ,y)0 for all yC. Furthermore, as t, we have from (A3) that θ( x ¯ ,y)0 for all yC. This implies that x ¯ EP(θ).

Finally, we show that x ¯ F(T). In view of y n = J 1 ( α n J x 1 + β n J T n x n + γ n J x n ), we find that

J u n J y n = α n (J u n J x 1 )+ β n ( J u n J T n x n ) + γ n (J u n J x n ).

Hence we have

β n J u n J T n x n J u n J x ¯ + J x ¯ J y n + α n J u n J x 1 + γ n J u n J x n .

From the assumptions (ii), (iii), and (3.13), we have

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

Notice that

J T n x n J x ¯ J T n x n J u n +J u n J x ¯ .

This implies from (3.19) that

lim n J T n x n J x ¯ =0.
(3.20)

The demicontinuity of J 1 : E E implies that T n x n x ¯ as n. We have

| T n x n x ¯ | = | J T n x n J x ¯ | J T n x n J x ¯ .

With the aid of (3.20), we see that lim n T n x n = x ¯ . Since E has the Kadec-Klee property, we find that

lim n T n x n x ¯ =0.
(3.21)

Since

T n + 1 x n x ¯ T n + 1 x n T n x n + T n x n x ¯ ,

we find from (3.21) and the asymptotic regularity of T that

lim n T n + 1 x n x ¯ =0,

i.e., T T n x n x ¯ 0 as n. It follows from the closedness of T that T x ¯ = x ¯ . So, x ¯ F(T) and hence x ¯ F=F(T)EP(θ).

Step 6. We show that x ¯ = Π F f x 1 and so x n Π F f x 1 as n.

Since is a closed convex set, it follows from Lemma 2.2 that Π F f x 1 is single-valued, which is denoted by x ˜ . By the definition of x n = Π C n f x 1 and x ˜ F C n , we also have

G( x n ,J x 1 )G( x ˜ ,J x 1 )

for all n1. By the definition of G, we know that for any xE, G(u,Jx) is convex and lower semicontinuous with respect to u and so

G ( x ¯ , J x 1 ) lim inf n G ( x n , J x 1 ) lim sup n G ( x n , J x 1 ) G ( x ˜ , J x 1 ) .

From the definition of Π F f x 1 and x ¯ F, we conclude that

x ¯ = x ˜ = Π F f x 1

and x n x ¯ = Π F f x 1 as n. This completes the proof. □

Remark 3.1

  1. (i)

    If f=0, then G(x,Jy)=ϕ(x,y) and Π C n f = Π C n .

  2. (ii)

    If we take f=0, θ=0, u n = y n , and α n =0 for all nN, then the iterative scheme (3.1) reduces to the following scheme:

    { x 0 E  chosen arbitrarily , C 1 = C , y n = J 1 ( β n J T n x n + ( 1 β n ) J x n ) , C n + 1 = { z C n : ϕ ( z , y n ) ϕ ( z , x n ) + ξ n } , x n + 1 = Π C n + 1 x 1 , n 1 ,

where ξ n =max{0, sup p F ( T ) , x C (ϕ(p, T n x)ϕ(p,x))}, which is the algorithm introduced by Hao [10] and an improvement to (1.3).

If T is quasi-ϕ-nonexpansive, then Theorem 3.1 is reduced to following without the boundedness of F(T) and the asymptotically regularity of T.

Corollary 3.1 Let E be a uniformly smooth and strictly convex Banach space with the Kadec-Klee property. Let C be a nonempty closed convex subset of E. Let θ be a bifunction from C×C to satisfying the conditions (A1)-(A4). Let T:CC be a closed and quasi-ϕ-nonexpansive mapping. Assume that F=F(T)EP(θ) is nonempty. Let f:E R + be a convex and lower semicontinuous function with Cint(D(f)) and f(0)=0. Let { α n } be a sequence in [0,1] and { β n }, { γ n } be sequences in (0,1) satisfying the following conditions:

  1. (i)

    α n + β n + γ n =1;

  2. (ii)

    lim n α n =0;

  3. (iii)

    0< lim inf n β n lim sup n β n <1.

Let { x n } be a sequence generated by

{ x 1 E  chosen arbitrarily , C 1 = C , y n = J 1 ( α n J x 1 + β n J T x n + γ n J x n ) u n C  such that  θ ( u n , y ) + 1 r n y u n , J u n J y n 0 , y C , C n + 1 = { z C n : G ( z , J u n ) α n G ( z , J x 1 ) + ( 1 α n ) G ( z , J x n ) } , x n + 1 = Π C n + 1 f x 1 , n 1 ,

where { r n } is a real sequence in [a,) for some a>0 and Π C n + 1 f is the generalized f-projection operator. Then { x n } converges strongly to Π F f x 1 .

Remark 3.2

  1. (i)

    By Remark 3.1, Theorem 3.1 extends Theorem 2.1 of Hao [10].

  2. (ii)

    Theorem 3.1 generalizes Theorem 3.1 of Matsushita and Takahashi [9] in the following respects:

  • from the relatively nonexpansive mapping to the asymptotically quasi-ϕ-nonexpansive mapping in the intermediate sense;

  • from a uniformly convex and uniformly smooth Banach space to a uniformly smooth and strictly convex Banach space with the Kadec-Klee property;

  1. (iii)

    in view of the mappings and the frame work of the spaces, Theorem 3.1 generalizes and improves Theorem 3.1 of Ma et al. [16], Theorem 3.1 of Qin et al. [17], Theorem 3.1 of Qing and Lv [18] and Theorem 3.1 of Saewan [19].

We now provide a nontrivial family of mappings satisfying the conditions of Theorem 3.1.

Example 3.1 Let E=R with the standard norm =|| and C=[0,1]. Let T:CC be a mapping defined by

Tx={ 1 2 x , x [ 0 , 1 2 ] , 0 , x ( 1 2 , 1 ] .

We first show that T is an asymptotically quasi-ϕ-nonexpansive mapping in the intermediate sense with F(T)={0}ϕ. In fact, for p=0F(T), we have

ϕ ( p , T n x ) = | 0 T n x | 2 = 1 2 2 n | x | 2 | 0 x | 2 = ϕ ( p , x ) , x [ 0 , 1 2 ]

and

ϕ ( p , T n x ) = | 0 T n x | 2 = 0 | 0 x | 2 = ϕ ( p , x ) , x ( 1 2 , 1 ] .

Therefore, we have

lim sup n sup p F ( T ) , x C ( ϕ ( p , T n x ) ϕ ( p , x ) ) 0.

Next, we define a bifunction θ:C×CR satisfying the conditions (A1)-(A4) by

θ(x,y)= y 2 x 2 .

Then the set of solutions EP(θ) to the equilibrium problem for θ is obviously {0}. Since F=F(T)EP(θ)ϕ and F(T) is bounded, it follows from Theorem 3.1 that the sequence defined by (3.1) converges strongly to Π F f x 1 .

Author’s contributions

JUJ conceived of the study, its design, and its coordination. The author read and approved the final manuscript.

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Jeong, J.U. Convergence theorems for equilibrium problem and asymptotically quasi-ϕ-nonexpansive mappings in the intermediate sense. Fixed Point Theory Appl 2014, 199 (2014). https://doi.org/10.1186/1687-1812-2014-199

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