Skip to main content

Convergence theorems of a new iteration for asymptotically nonexpansive mappings in Banach spaces

Abstract

In this paper, the problem of modified iterative approximation of common fixed points of asymptotically nonexpansive is investigated in the framework of Banach spaces. Weak convergence theorems are established.

MSC:47H09, 47J05, 47J25, 47H25.

1 Introduction

Fixed-point theory as an important branch of nonlinear analysis has been applied in the study of nonlinear phenomena. The theory itself is a beautiful mixture of analysis, topology, and geometry. Recently, iterative algorithms for finding common fixed points of nonlinear mappings have been considered by many authors. The well-known convex feasibility problem capture application in various disciplines such as image restorations, and radiation therapy treatment planning is to find a point in the intersection of common fixed-point sets of nonlinear mappings (see, [1–6]).

From the method of generating iterative sequence, we can divide iterative algorithms into explicit algorithms. Recently, both explicit Mann iterative algorithms and implicit Mann-iterative algorithms have been extensively studied for approximating common fixed points of nonlinear mappings (see [7–17]).

In this paper, we consider the problem of approximating a common fixed point of asymptotically nonexpansive mappings based on a general implicit iterative algorithm, which includes an explicit process as a special case. The organization of this paper is as follows. In Section 2, we provide some necessary preliminaries. In Section 3, weak convergence theorems are established in a uniformly convex Banach space.

2 Preliminaries

Let E be a real Banach space. E is said to be uniformly convex if for any two sequences { x n } and { y n } in E such that ∥ x n ∥=∥ y n ∥=1 and lim n → ∞ ∥ x n + y n ∥=2, then lim n → ∞ ∥ x n − y n ∥=0 holds. It is known that a uniformly convex Banach space is reflexive.

In this paper, we use the symbols ⇀ and → denote weak convergence and strong convergence, respectively. E is said to have Opial’s condition (see [18]) if, for each sequence { x n } in E, x n ⇀x implies that

lim inf n → ∞ ∥ x n −x∥< lim inf n → ∞ ∥ x n −y∥,∀y∈E(y≠x).

Let C be a nonempty subset of E, and T:C→C a mapping. In this paper, the symbol F(T) stands for the fixed point set of T. T is said to be nonexpansive if

∥Tx−Ty∥≤∥x−y∥,∀x,y∈C.

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 ∥x−y∥,∀x,y∈C,∀n≥1.

The class of asymptotically nonexpansive mappings was introduced by Goebel and Kirk [19] as a generalization of the class of nonexpansive mappings. They proved that if C is a nonempty, closed, convex, and bounded subset of a real uniformly convex Banach space, then every asymptotically nonexpansive self mapping has a fixed point (see [19]).

In order to prove our main results, we still need the following lemmas.

Lemma 2.1 [20]

Let C be a nonempty, closed, and convex subset of a uniformly convex Banach space E. Let T:C→C be an asymptotically nonexpansive mapping. Then I−T is demiclosed at zero, that is, x n ⇀x and x n −T x n →0 imply that x=Tx.

Lemma 2.2 [21]

Let { a n }, { b n }, and { c n } be three nonnegative sequences satisfying the following condition:

a n + 1 ≤(1+ b n ) a n + c n ,∀n≥ n 0 ,

where n 0 is some nonnegative integer, ∑ n = 1 ∞ b n <∞ and ∑ n = 1 ∞ c n <∞. Then the lim n → ∞ a n exists.

Lemma 2.3 [15]

Let E be a uniformly convex Banach space, r>0 a positive number and B r (0) a closed ball of E with the center at zero. Then there exists a continuous, strictly increasing, and convex function g:[0,∞)→[0,∞) with g(0)=0 such that

∥ ∑ s = 1 m ( α s x s ) ∥ 2 ≤ ∑ s = 1 m ( α s ∥ x s ∥ 2 ) − α i α j g ( ∥ x i − x j ∥ ) ,∀i,j∈{1,2,…,r},

where x 1 , x 2 ,…, x m ∈ B r (0), and α 1 , α 2 ,…, α m ∈(0,1) with ∑ i = 1 m α i =1.

3 Main Results

Before starting the main results in this paper, we give the implicit iterative process first. Let C be a nonempty, closed, and convex subset of a Banach space E. Let T:C→C be an asymptotically nonexpansive mapping with the sequence { k n }. For every u∈C and t n ∈(0,1), Define a mapping T n :C→C below

T n = t n u+(1− t n ) T n x,∀x∈C,∀n≥1.

If (1− t n ) k n <1, for every n≥1, then T n is a contraction. In the light of the Banach contraction principle, we see that there exists a unique fixed point of T n , for every n≥1.

Let x 0 be chosen arbitrarily and r≥1 a positive integer. Let { α n },{ β n , 1 },{ β n , 2 },…,{ β n , r },{ γ n , 1 },{ γ n , 2 },… , and { γ n , r },{ a n },{ b n , 1 },{ b n , 2 },…,{ b n , r },{ c n , 1 },{ c n , 2 },… , and { c n , r } be real number sequences in (0,1) such that

α n + ∑ m = 1 r β n , m + ∑ m = 1 r γ n , m = a n + ∑ m = 1 r b n , m + ∑ m = 1 r c n , m =1.

Let S m , T m :C→C be asymptotically nonexpansive mappings, for every m∈{1,2,…,r}.

Find x 1 , y 1 by solving the following equations:

Find x 2 , y 2 by solving the following equations:

Find x n , y n by solving the following equations:

In view of the above, we have the following implicit iterative algorithm:

Now we show that (ϒ) can be employed to approximate fixed points of asymptotically nonexpansive mapplings, which are assumed to be Lipschitz continuous. Let S m :C→C be an asymptotically nonexpansive mapping with the sequence { s n , m }, and T m :C→C an asymptotically nonexpansive mapping with the sequence { t n , m }, for every m∈{1,2,…,r}, where r≥1 is some positive integer. Define a mapping C n :C→C by

C n ( x ) = α n x n − 1 + ∑ m = 1 r β n , m S m n x n − 1 + ∑ n m γ n , m T m n ( a n x + ∑ m = 1 r b n , m S m n x + ∑ m n c n , m T m n x ) , ∀ n ≥ 1 .

It follows that

where t n =max{ t n , m :1≤m≤r} and s n =max{ s n , m :1≤m≤r}.

If ∑ m = 1 r γ n , m t n ( a n + ∑ m = 1 r b n , m s n + ∑ m = 1 r c n , m t n )<1 for all 1≤m≤r, n≥1, then C n is a contraction. Hence, by the Banach contraction principle, there exists a unique fixed point x n ∈C such that

x n = C n ( x ) = α n x n − 1 + ∑ m = 1 r β n , m S m n x n − 1 + ∑ n m γ n , m T m n ( a n x + ∑ m = 1 r b n , m S m n x + ∑ m n c n , m T m n x ) , ∀ n ≥ 1 .

That is, the implicit iterative algorithm (Ï’) is well defined.

Now, we are in a position to give our main results.

Theorem 3.1 Let C be a nonempty, closed, and convex subset of a uniformly convex Banach space E. Let S m :C→C be an asymptotically nonexpansive mapping with the sequence { s n , m }, and T m :C→C an asymptotically nonexpansive mapping with the sequence { t n , m }, for every m∈{1,2,…,r}, where r≥1 is some positive integer. Assume that

F= ⋂ m = 1 r F( S m )∩ ⋂ m = 1 r F( T m )≠∅.

Let t n =max{ t n , m :1≤m≤r} and s n =max{ s n , m :1≤m≤r}. Assume that ∑ n = 1 ∞ ( k n −1)<∞, where k n =max{ s n , t n :1≤m≤r}. Let { x n } n = 0 ∞ be a sequence generated by (ϒ), where { α n },{ β n , 1 },{ β n , 2 },…,{ β n , r },{ γ n , 1 },{ γ n , 2 },…,{ γ n , r },{ a n },{ b n , 1 },{ b n , 2 },…,{ b n , r },{ c n , 1 },{ c n , 2 },…,{ c n , r } be real number sequences in (0,1) such that α n + ∑ m = 1 r β n , m + ∑ m = 1 r γ n , m = a n + ∑ m = 1 r b n , m + ∑ m = 1 r c n , m =1. Assume that the following restrictions imposed on the control sequence { α n },{ β n , 1 },{ β n , 2 },…,{ β n , r },{ γ n , 1 },{ γ n , 2 },…,{ γ n , r },{ a n },{ b n , 1 },{ b n , 2 },…,{ b n , r },{ c n , 1 },{ c n , 2 },…,{ c n , r } are satisfied

  1. (a)

    lim inf n → ∞ α n β n , m >0, lim inf n → ∞ α n γ n , m >0 and lim inf n → ∞ a n b n , m >0, ∀m∈{1,2,…,r};

  2. (b)

    ∑ m = 1 r γ n , m t n ( a n + ∑ m = 1 r b n , m s n + ∑ m = 1 r c n , m t n )<1.

Then

lim n → ∞ ∥ x n − S m x n ∥= lim n → ∞ ∥ x n − T m x n ∥=0,∀m∈{1,2,…,r}.

Proof Step 1. Taking p∈F, we see that

∥ x n − p ∥ ≤ α n ∥ x n − 1 − p ∥ + ∑ m = 1 r β n , m ∥ S m n x n − 1 − p ∥ + ∑ m = 1 r γ n , m ∥ T m n y n − p ∥ ≤ ( α n + ∑ m = 1 r β n , m k n ) ∥ x n − 1 − p ∥ + ∑ m = 1 r γ n , m k n ∥ y n − p ∥
(3.1)

and

∥ y n − p ∥ ≤ a n ∥ x n − p ∥ + ∑ m = 1 r b n , m ∥ S m n x n − p ∥ + ∑ m = 1 r c n , m ∥ T m n x n − p ∥ ≤ a n k n ∥ x n − p ∥ + ∑ m = 1 r b n , m k n ∥ x n − p ∥ + ∑ m = 1 r c n , m k n ∥ x n − p ∥ ≤ k n ∥ x n − p ∥ .
(3.2)

Substituting (3.2) into (3.1), we have

∥ x n −p∥≤ ( α n + ∑ m = 1 r β n , m k n ) ∥ x n − 1 −p∥+ ∑ m = 1 r γ n , m k n 2 ∥ x n −p∥.
(3.3)

In view of lim inf n → ∞ α n β n , m >0, and α n + ∑ m = 1 r β n , m + ∑ m = 1 r γ n , m =1, we see that there exists some positive integer n 1 , and a real number h, where h∈(0,1), such that

∑ m = 1 r γ n , m ≤h,n≥ n 1 .

Since ∑ n = 1 ∞ ( k n −1)<∞, we find that there exists some positive integer n 2 such that k n 2 ≤1+ 1 − h 2 h , ∀n≥ n 2 . It follows that

∑ m = 1 r γ n , m k n 2 ≤u<1,∀n≥ n 3 ,

where u=h(1+ 1 − h 2 h ), and n 3 ≥max{ n 1 , n 2 }. It follows (3.3) that

∥ x n − p ∥ ≤ ( α n + ∑ m = 1 r β n , m k n 1 − ∑ m = 1 r γ n , m k n 2 ) ∥ x n − 1 − p ∥ ≤ ( 1 + α n + ∑ m = 1 r β n , m k n + ∑ m = 1 r γ n , m k n 2 − 1 1 − ∑ m = 1 r γ n , m k n 2 ) ∥ x n − 1 − p ∥ ≤ ( 1 + k n 2 − 1 1 − u ) ∥ x n − 1 − p ∥ .
(3.4)

It follows from Lemma 2.2 that lim n → ∞ ∥ x n −p∥ exists. This implies that the sequence { x n } is bounded.

On the other hand, we find from Lemma 2.3 that

It implies that

Since lim n → ∞ ∥ x n −p∥ exists, we find from restriction (a) that

lim n → ∞ P ( ∥ x n − 1 − S m n x n − 1 ∥ ) =0,

for every m∈{1,2,…,r}. It follows that

lim n → ∞ ∥ x n − 1 − S m n x n − 1 ∥ =0,∀m∈{1,2,…,r}.
(3.5)

In view of Lemma 2.3, we have

∥ x n − p ∥ 2 ≤ α n ∥ x n − 1 − p ∥ 2 + ∑ m = 1 r β n , m ∥ S m n x n − 1 − p ∥ 2 + ∑ m = 1 r γ n , m ∥ T m n y n − p ∥ 2 − α n γ n , m P ( ∥ x n − 1 − T m n y n ∥ ) ≤ ( α n + ∑ m = 1 r β n , m k n 2 ) ∥ x n − 1 − p ∥ 2 + ∑ m = 1 r γ n , m k n 3 ∥ x n − p ∥ 2 − α n γ n , m P ( ∥ x n − 1 − T m n y n ∥ ) , ∀ m ∈ { 1 , 2 , … , r } .

It implies that

Since lim n → ∞ ∥ x n −p∥ exists, from the condition (a), we have that

lim n → ∞ P ( ∥ x n − 1 − T m n y n ∥ ) =0,

for every m∈{1,2,…,r}. It follows that

lim n → ∞ ∥ x n − 1 − T m n y n ∥ =0,∀m∈{1,2,…,r}.
(3.6)

Notice that

∥ x n − x n − 1 ∥≤ ∑ m = 1 r β n , m ∥ S m n x n − 1 − x n − 1 ∥ + ∑ m = 1 r γ n , m ∥ T m n y n − x n − 1 ∥

In the light of (3.5), and (3.6), we find that

lim n → ∞ ∥ x n − 1 − x n ∥=0.
(3.7)

Step 2. Notice that

∥ x n − T m n y n ∥ ≤∥ x n − x n − 1 ∥+ ∥ x n − 1 − T m n y n ∥ ,∀m∈{1,2,…,r}.

It implies from (3.6), and (3.7) that

lim n → ∞ ∥ x n − T m n y n ∥ =0,∀m∈{1,2,…,r}.
(3.8)

On the other hand, we have

∥ x n − S m n x n ∥ ≤ ∥ x n − x n − 1 ∥ + ∥ x n − 1 − S m n x n − 1 ∥ + ∥ S m n x n − 1 − S m n x n ∥ , ∀ m ∈ { 1 , 2 , … , r } .

Since S m is Lipschitz for every m∈{1,2,…,r}, we see from (3.5) and (3.7) that

lim n → ∞ ∥ x n − S m n x n ∥ =0,∀m∈{1,2,…,r}.
(3.9)

Step 3. In view of lim inf n → ∞ a n b n , m >0, and

a n + ∑ m = 1 r b n , m + ∑ m = 1 r c n , m =1,

we see that there exists some positive integer n 4 , and a real number h ′ , where h ′ ∈(0,1), such that

∑ m = 1 r c n , m ≤ h ′ ,n≥ n 4 .

Since ∑ n = 1 ∞ ( k n −1)<∞, we find that there exists a positive integer n 5 such that k n ≤1+ 1 − h ′ 2 h ′ , ∀n≥ n 5 . It follows that

∑ m = 1 r c n , m k n ≤ u ′ <1,∀n≥ n 6 ,

where u ′ = h ′ (1+ 1 − h ′ 2 h ′ ), and n 6 ≥max{ n 4 , n 5 }. It follows that

∥ x n − y n ∥ ≤ ∑ m = 1 r b n , m ∥ S m n x n − x n ∥ + ∑ m = 1 r c n , m ∥ T m n x n − x n ∥ ≤ ∑ m = 1 r b n , m ∥ S m n x n − x n ∥ + ∑ m = 1 r c n , m ∥ T m n x n − T m n y n ∥ + ∑ m = 1 r c n , m ∥ T m n y n − x n ∥ ≤ ∑ m = 1 r b n , m ∥ S m n x n − x n ∥ + ∑ m = 1 r c n , m k n ∥ x n − y n ∥ + ∑ m = 1 r c n , m ∥ T m n y n − x n ∥ .

This implies that

It follows from (3.8) and (3.9) that

lim n → ∞ ∥ x n − y n ∥=0.
(3.10)

Step 4. Notice that

∥ y n − y n − 1 ∥ ≤ a n ∥ x n − x n − 1 ∥ + ∑ m = 1 r b n , m ∥ S m n x n − x n − 1 ∥ + ∑ m = 1 r c n , m ∥ T m n x n − x n − 1 ∥ + ∥ x n − 1 − y n − 1 ∥ ≤ a n ∥ x n − x n − 1 ∥ + ∑ m = 1 r b n , m ∥ S m n x n − x n ∥ + ∑ m = 1 r b n , m ∥ x n − x n − 1 ∥ + ∑ m = 1 r c n , m ∥ T m n x n − T m n y n ∥ + ∑ m = 1 r c n , m ∥ T m n y n − x n − 1 ∥ + ∥ x n − 1 − y n − 1 ∥ .

Since T m is Lipschitz for every m∈{1,2,…,r}, we see from (3.6), (3.7), (3.9), and (3.10) that

lim n → ∞ ∥ y n − y n − 1 ∥=0.
(3.11)

Step 5. Notice that

∥ x n − S m x n ∥ ≤ ∥ x n − x n + 1 ∥ + ∥ x n + 1 − S m n + 1 x n + 1 ∥ + ∥ S m n + 1 x n + 1 − S m n + 1 x n ∥ + ∥ S m n + 1 x n − S m x n ∥ ≤ ( 1 + M ) ∥ x n − x n + 1 ∥ + ∥ x n + 1 − S m n + 1 x n + 1 ∥ + M ∥ S m n x n − x n ∥ ,

where M= sup n ≥ 1 { k n }. It follows from (3.7) and (3.9) that

lim n → ∞ ∥ x n − S m x n ∥=0,∀m∈{1,2,…,r}.
(3.12)

On the other hand, we have

∥ x n − T m x n ∥ ≤ ∥ x n − x n + 1 ∥ + ∥ x n + 1 − T m n + 1 y n + 1 ∥ + ∥ T m n + 1 y n + 1 − T m n + 1 y n ∥ + ∥ T m n + 1 y n − T m x n ∥ ≤ ∥ x n − x n + 1 ∥ + ∥ x n + 1 − T m n + 1 y n + 1 ∥ + M ∥ y n + 1 − y n ∥ + M ∥ T m n y n − x n ∥ .

It follows from (3.7), (3.8), and (3.11) that

lim n → ∞ ∥ x n − T m x n ∥=0,∀m∈{1,2,…,r}.
(3.13)

This completes the proof. □

Next, we give the following weak convergence theorems with the help of Opial’s condition.

Theorem 3.2 Let C be a nonempty, closed, and convex subset of a uniformly convex Banach space E with Opial’s condition. Let S m :C→C be an asymptotically nonexpansive mapping with the sequence { s n , m }, and T m :C→C an asymptotically nonexpansive mapping with the sequence { t n , m }, for every m∈{1,2,…,r}, where r≥1 is some positive integer. Assume that

F= ⋂ m = 1 r F( S m )∩ ⋂ m = 1 r F( T m )≠∅.

Let t n =max{ t n , m :1≤m≤r}, and s n =max{ s n , m :1≤m≤r}. Assume that ∑ n = 1 ∞ ( k n −1)<∞, where k n =max{ s n , t n :1≤m≤r}. Let { x n } n = 0 ∞ be a sequence generated by (ϒ), where { α n },{ β n , 1 },{ β n , 2 },…,{ β n , r },{ γ n , 1 },{ γ n , 2 },… , and { γ n , r },{ a n },{ b n , 1 },{ b n , 2 },…,{ b n , r },{ c n , 1 },{ c n , 2 },… , and { c n , r } be real number sequences in (0,1) such that

α n + ∑ m = 1 r β n , m + ∑ m = 1 r γ n , m = a n + ∑ m = 1 r b n , m + ∑ m = 1 r c n , m =1.

Assume that restrictions (a) and (b) as in Theorem  3.1 are satisfied. Then { x n } converges weakly to some point in ℱ.

Proof Since { x n } is bounded, there exists a subsequence { x n i }⊂{ x n } such that { x n i } converges weakly to a point x ¯ ∈C. It follows from Lemma 2.1 that x ¯ ∈F. Assume that there exists another subsequence { x n j }⊂{ x n } such that { x n j } converges weakly to a point x ˆ ∈C. It follows from Lemma 2.1 that x ˆ ∈F. If x ¯ ≠ x ˆ , then

lim n → ∞ ∥ x n − x ¯ ∥ = lim inf i → ∞ ∥ x n i − x ¯ ∥ < lim inf i → ∞ ∥ x n i − x ˆ ∥ = lim inf j → ∞ ∥ x n j − x ˆ ∥ < lim inf j → ∞ ∥ x n j − x ¯ ∥ = lim n → ∞ ∥ x n − x ¯ ∥ .

This is a contradiction. Hence, x ¯ = x ˆ . This completes the proof. □

If r=1, then Theorem 3.2 is reduced to the following.

Corollary 3.1 Let C be a nonempty, closed, and convex subset of a uniformly convex Banach space E with Opial’s condition. Let S:C→C be an asymptotically nonexpansive mapping with the sequence { s n }, and T:C→C an asymptotically nonexpansive mapping with the sequence { t n }. Assume that

F=F(S)∩F(T)≠∅.

Assume that ∑ n = 1 ∞ ( k n −1)<∞, where k n =max{ s n , t n :1≤m≤r}. Let { x n } n = 0 ∞ be a sequence generated by the following:

{ x 0 ∈ C , x n = α n x n − 1 + β n S n x n − 1 + γ n T n y n , y n = a n x n + b n S n x n + c n T n x n , ∀ n ≥ 1 .

where { α n }, { β n }, { γ n }, { a n }, { b n }, and { c n } are real number sequences in (0,1) such that α n + β n + γ n = a n + b n + c n =1. Assume that the following restrictions imposed on the control sequences { α n }, { β n }, { γ n }, { a n }, { b n }, and { c n } are satisfied:

  1. (a)

    lim inf n → ∞ α n β n >0, lim inf n → ∞ α n γ n >0 and lim inf n → ∞ a n b n >0;

  2. (b)

    γ n t n ( a n + b n s n + c n t n )<1.

Then { x n } converges weakly to some point in ℱ.

If b n , m = c n , m =0, than Theorem 3.2 reduced the following.

Corollary 3.2 Let C be a nonempty, closed, and convex subset of a uniformly convex Banach space E with Opial’s condition. Let S m :C→C be an asymptotically nonexpansive mapping with the sequence { s n , m }, and T m :C→C an asymptotically nonexpansive mapping with the sequence { t n , m }, for every m∈{1,2,…,r}. where r≥1 is some positive integer. Assume that

F= ⋂ m = 1 r F( S m )∩ ⋂ m = 1 r F( T m )≠∅.

Let t n =max{ t n , m :1≤m≤r}, and s n =max{ s n , m :1≤m≤r}. Assume that ∑ n = 1 ∞ ( k n −1)<∞, where k n =max{ s n , t n :1≤m≤r}. Let { x n } n = 0 ∞ be a sequence generated by the following:

x 0 ∈C, x n = α n x n − 1 + ∑ m = 1 r β n , m S m n x n − 1 + ∑ m = 1 r γ n , m T m n x n ,∀n≥1

where { α n },{ β n , 1 },{ β n , 2 },…,{ β n , r },{ γ n , 1 },{ γ n , 2 },… , and { γ n , r }, are real number sequences in (0,1) such that α n + ∑ m = 1 r β n , m + ∑ m = 1 r γ n , m =1. Assume that the following restrictions imposed on the control sequences { α n },{ β n , 1 },{ β n , 2 },…,{ β n , r },{ γ n , 1 },{ γ n , 2 },… , and { γ n , r } are satisfied

  1. (a)

    lim inf n → ∞ α n β n , m >0, and lim inf n → ∞ α n γ n , m >0, ∀m∈{1,2,…r};

  2. (b)

    ∑ m = 1 r γ n , m t n <1.

Then { x n } converges weakly to some point in ℱ.

If β n , m = b n , m =0, than Theorem 3.2 reduced the following.

Corollary 3.3 Let C be a nonempty, closed, and convex subset of a uniformly convex Banach space E with Opial’s condition. Let T m :C→C be an asymptotically nonexpansive mapping with the sequence { t n , m }, for every m∈{1,2,…,r}, where r≥1 is some positive integer. Assume that

F= ⋂ m = 1 r F( T m )≠∅.

Assume that ∑ n = 1 ∞ ( t n −1)<∞, where t n =max{ t n , m :1≤m≤r}. Let { x n } n = 0 ∞ be a sequence generated by the following:

{ x 0 ∈ C , x n = α n x n − 1 + ∑ m = 1 r γ n , m T m n y n , y n = a n x n + ∑ m = 1 r c n , m T m n x n , ∀ n ≥ 1 ,

where { α n },{ γ n , 1 },{ γ n , 2 },…,{ γ n , r },{ a n },{ c n , 1 },{ c n , 2 },…,{ c n , r } be real number sequences in (0,1) such that

α n + ∑ m = 1 r γ n , m = a n + ∑ m = 1 r c n , m =1.

Assume that the following restrictions imposed on the control sequence { α n },{ γ n , 1 },{ γ n , 2 },…,{ γ n , r },{ a n },{ c n , 1 },{ c n , 2 },…,{ c n , r } are satisfied

  1. (a)

    lim inf n → ∞ α n >0, lim inf n → ∞ α n γ n , m >0 and lim inf n → ∞ a n >0, ∀m∈{1,2,…,r};

  2. (b)

    ∑ m = 1 r γ n , m t n ( a n + ∑ m = 1 r c n , m t n )<1.

Then { x n } converges weakly to some point in ℱ.

If S m =I, where I stands for the identity mappings, then Theorem 3.2 reduced the following.

Corollary 3.4 Let C be a nonempty, closed, and convex subset of a uniformly convex Banach space E with Opial’s condition. Let T m :C→C be an asymptotically nonexpansive mapping with the sequence { t n , m }, for every m∈{1,2,…,r}, where r≥1 is some positive integer. Assume that

F= ⋂ m = 1 r F( T m )≠∅.

Asume that ∑ n = 1 ∞ ( t n −1)<∞, where t n =max{ t n , m :1≤m≤r}. Let { x n } n = 0 ∞ be a sequence generated by the following:

{ x 0 ∈ C , x n = ( α n + ∑ m = 1 r β n , m ) x n − 1 + ∑ m = 1 r γ n , m T m n y n , y n = ( a n + ∑ m = 1 r b n , m ) x n + ∑ m = 1 r c n , m T m n x n , ∀ n ≥ 1 ,

where { α n },{ β n , 1 },{ β n , 2 },…,{ β n , r },{ γ n , 1 },{ γ n , 2 },…,{ γ n , r },{ a n },{ b n , 1 },{ b n , 2 },…,{ b n , r },{ c n , 1 },{ c n , 2 },…,{ c n , r } be real number sequences in (0,1) such that α n + ∑ m = 1 r β n , m + ∑ m = 1 r γ n , m = a n + ∑ m = 1 r b n , m + ∑ m = 1 r c n , m =1. Assume that the following restrictions imposed on the control sequences { α n },{ β n , 1 },{ β n , 2 },…,{ β n , r },{ γ n , 1 },{ γ n , 2 },…,{ γ n , r },{ a n },{ b n , 1 },{ b n , 2 },…,{ b n , r },{ c n , 1 },{ c n , 2 },…,{ c n , r } are satisfied

  1. (a)

    lim inf n → ∞ α n β n , m >0, lim inf n → ∞ α n γ n , m >0 and lim inf n → ∞ a n b n , m >0, ∀m∈{1,2,…,r};

  2. (b)

    ∑ m = 1 r γ n , m t n ( a n + ∑ m = 1 r b n , m + ∑ m = 1 r c n , m t n )<1.

Then { x n } converges weakly to some point in ℱ.

If T m =I, b n , m =0, where I stands for the identity mappings, then Theorem 3.2 reduced the following.

Corollary 3.5 Let C be a nonempty, closed, and convex subset of a uniformly convex Banach spaces E with Opial’s condition. Let S m :C→C be an asymptotically nonexpansive mapping with the sequence { s n , m }, for every m∈{1,2,…,r}, where r≥1 is some positive integer. Assume that

F= ⋂ m = 1 r F( S m )≠∅.

Assume that ∑ n = 1 ∞ ( s n −1)<∞, where s n =max{ s n , m :1≤m≤r}. Let { x n } n = 0 ∞ be a sequence generated by the following:

{ x 0 ∈ C , x n = α n 1 − ∑ m = 1 r ( a n + ∑ m = 1 r c n , m ) x n − 1 + ∑ m = 1 r β n , m S m n 1 − ∑ m = 1 r ( a n + ∑ m = 1 r c n , m ) x n − 1 , ∀ n ≥ 1 ,

where { α n },{ β n , 1 },{ β n , 2 },…,{ β n , r },{ γ n , 1 },{ γ n , 2 },…,{ γ n , r },{ a n },{ c n , 1 },{ c n , 2 },…,{ c n , r } be real number sequences in (0,1) such that

α n + ∑ m = 1 r β n , m + ∑ m = 1 r γ n , m = a n + ∑ m = 1 r c n , m =1.

Assume that the following restrictions imposed on the control sequences { α n },{ β n , 1 },{ β n , 2 },…,{ β n , r },{ γ n , 1 },{ γ n , 2 },…,{ γ n , r },{ a n },{ c n , 1 },{ c n , 2 },…,{ c n , r } are satisfied lim inf n → ∞ α n β n , m >0 and lim inf n → ∞ α n γ n , m >0 for all m∈{1,2,…,r}. Then { x n } converges weakly to some point in ℱ.

References

  1. Bauschke HH, Borwein JM: On projection algorithms for solving convex feasibility problems. SIAM Rev. 1996, 38: 367–426. 10.1137/S0036144593251710

    Article  MathSciNet  Google Scholar 

  2. Kotzer T, Cohen N, Shamir J: Image restoration by a novel method of parallel projection onto constraint sets. Optim. Lett. 1995, 20: 1772–1774.

    Google Scholar 

  3. Byrne C: A unified treatment of some iterative algorithms in signal processing and image reconstruction. Inverse Probl. 2008, 20: 103–120.

    Article  MathSciNet  Google Scholar 

  4. Censor Y, Elfving T, Kopf N, Bortfeld T: The multiple-sets split feasibility problem and its applications for inverse problems. Inverse Probl. 2005, 21: 2071–2084. 10.1088/0266-5611/21/6/017

    Article  MathSciNet  Google Scholar 

  5. Censor Y, Bortfeld T, Martin B, Trofimov A: A unified approach for inversion problems in intensity-modulated radiation therapy. Phys. Med. Biol. 2006, 51: 2353–2365. 10.1088/0031-9155/51/10/001

    Article  Google Scholar 

  6. Lopez G, Martin V, Xu HK: Perturbation techniques for nonexpansive mappings with applications. Nonlinear Anal. 2009, 10: 2369–2383. 10.1016/j.nonrwa.2008.04.020

    Article  MathSciNet  Google Scholar 

  7. Reich S: Weak convergence theorems for nonexpansive mappings in Banach spaces. J. Math. Anal. Appl. 1979, 67: 274–276. 10.1016/0022-247X(79)90024-6

    Article  MathSciNet  Google Scholar 

  8. Schu J: Weak and strong convergence to fixed points of asymptotically nonexpansive mappings. Bull. Aust. Math. Soc. 1991, 43: 153–159. 10.1017/S0004972700028884

    Article  MathSciNet  Google Scholar 

  9. Khan SH, Yildirim I, Ozdemir M: Convergence of an implicit algorithm for two families of nonexpansive mappings. Comput. Math. Appl. 2010, 59: 3084–3091. 10.1016/j.camwa.2010.02.029

    Article  MathSciNet  Google Scholar 

  10. Acedo GL, Xu HK: Iterative methods for strict pseudo-contractions in Hilbert spaces. Nonlinear Anal. 2007, 67: 2258–2271. 10.1016/j.na.2006.08.036

    Article  MathSciNet  Google Scholar 

  11. Qin X, Kang SM, Agarwal RP: On the convergence of an implicit iterative process for generalized asymptotically quasi-nonexpansive mappings. Fixed Point Theory Appl. 2010., 2010: Article ID 714860

    Google Scholar 

  12. Qin X, Kim JK, Wang TZ: On the convergence of implicit iterative processes for asymptotically pseudocontractive mappings in the intermediate sense. Abstr. Appl. Anal. 2011., 2011: Article ID 468716

    Google Scholar 

  13. Qin X, Cho SY: Implicit iterative algorithms for treating strongly continuous semigroups of Lipschitz pseudocontractions. Appl. Math. Lett. 2010, 23: 1252–1255. 10.1016/j.aml.2010.06.008

    Article  MathSciNet  Google Scholar 

  14. Kim JK, Nam YM, Sim JY: Convergence theorems of implicit iterative sequences for a finite family of asymptotically quasi-nonexpansive type mappings. Nonlinear Anal. 2009, 71: e2839-e2848. 10.1016/j.na.2009.06.090

    Article  MathSciNet  Google Scholar 

  15. Hao Y, Cho SY, Qin X: Some weak convergence theorems for a family of asymptotically nonexpansive nonself mappings. Fixed Point Theory Appl. 2010., 2010: Article ID 218573

    Google Scholar 

  16. Chang SS, Tan KK, Lee HWJ, Chan CK: On the convergence of implicit iteration process with error for a finite family of asymptotically nonexpansive mappings. J. Math. Anal. Appl. 2006, 313: 273–283. 10.1016/j.jmaa.2005.05.075

    Article  MathSciNet  Google Scholar 

  17. Tian YK, Chang SS, Huang JL, Wang X, Kim JK: Implicit iteration process for common fixed point of strictlt asymptotically pseudocontractive mappings in Banach spaces. Fixed Point Theory Appl. 2008., 2008: Article ID 324575

    Google Scholar 

  18. Opial Z: Weak convergence of the sequence of successive approximations for nonexpansive mappings. Bull. Am. Math. Soc. 1967, 73: 591–597. 10.1090/S0002-9904-1967-11761-0

    Article  MathSciNet  Google Scholar 

  19. Goebel K, Kirk WA: A fixed point theorem for asymptotically nonexpansive mappings. Proc. Am. Math. Soc. 1972, 35: 171–174. 10.1090/S0002-9939-1972-0298500-3

    Article  MathSciNet  Google Scholar 

  20. Chang SS, Cho YJ, Zhou HY: Demi-closed principle and weak convergence problems for asymptotically nonexpansive mappings. J. Korean Math. Soc. 2001, 38: 1245–1260.

    MathSciNet  Google Scholar 

  21. Tan KK, Xu HK: Approximating fixed points of nonexpansive mappings by the Ishikawa iteration process. J. Math. Anal. Appl. 1993, 178: 301–308. 10.1006/jmaa.1993.1309

    Article  MathSciNet  Google Scholar 

Download references

Acknowledgements

The research was supported by Kyungnam University Research Fund, 2012.

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Jong Kyu Kim.

Additional information

Competing interests

The authors declare that they have no competing interests.

Authors’ contributions

The main idea of this paper is proposed by JKK. JKK and WHL prepared the manuscript initially and performed all the steps of proof in this research. All authors read and approved the final manuscript.

Rights and permissions

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

Reprints and permissions

About this article

Cite this article

Kim, J.K., Lim, W.H. Convergence theorems of a new iteration for asymptotically nonexpansive mappings in Banach spaces. J Inequal Appl 2013, 179 (2013). https://doi.org/10.1186/1029-242X-2013-179

Download citation

  • Received:

  • Accepted:

  • Published:

  • DOI: https://doi.org/10.1186/1029-242X-2013-179

Keywords