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Mixed type iteration for total asymptotically nonexpansive mappings in hyperbolic spaces

Abstract

The purpose of this paper is to introduce the concept of total asymptotically nonexpansive mappings and to prove some Δ-convergence theorems of the mixed type iteration process to approximating a common fixed point for two asymptotically nonexpansive mappings and two total asymptotically nonexpansive mappings in hyperbolic spaces. The results presented in the paper extend and improve some recent results announced in the current literature.

MSC:47H09, 47H10.

1 Introduction and preliminaries

Most of the problems in various disciplines of science are nonlinear in nature, whereas fixed point theory proposed in the setting of normed linear spaces or Banach spaces majorly depends on the linear structure of the underlying spaces. A nonlinear framework for fixed point theory is a metric space embedded with a ‘convex structure’. The class of hyperbolic spaces, nonlinear in nature, is a general abstract theoretic setting with rich geometrical structure for metric fixed point theory. The study of hyperbolic spaces has been largely motivated and dominated by questions about hyperbolic groups, one of the main objects of study in geometric group theory.

Throughout this paper, we work in the setting of hyperbolic spaces introduced by Kohlenbach [1], defined below, which is more restrictive than the hyperbolic type introduced in [2] and more general than the concept of hyperbolic space in [3].

A hyperbolic space is a metric space (X,d) together with a mapping W: X 2 ×[0,1]X satisfying

  1. (i)

    d(u,W(x,y,α))αd(u,x)+(1α)d(u,y);

  2. (ii)

    d(W(x,y,α),W(x,y,β))=|αβ|d(x,y);

  3. (iii)

    W(x,y,α)=W(y,x,(1α));

  4. (iv)

    d(W(x,z,α),W(y,w,α))(1α)d(x,y)+αd(z,w)

for all x,y,z,wX and α,β[0,1]. A nonempty subset K of a hyperbolic space X is convex if W(x,y,α)K for all x,yK and α[0,1]. The class of hyperbolic spaces contains normed spaces and convex subsets thereof, the Hilbert ball equipped with the hyperbolic metric [4], Hadamard manifolds as well as CAT(0) spaces in the sense of Gromov (see [5]).

A hyperbolic space is uniformly convex [6] if for any r>0 and ϵ(0,2] there exists δ(0,1] such that for all u,x,yX, we have

d ( W ( x , y , 1 2 ) , u ) (1δ)r,

provided d(x,u)r, d(y,u)r and d(x,y)ϵr.

A map η:(0,)×(0,2](0,1], which provides such δ=η(r,ϵ) for given r>0 and ϵ(0,2], is known as a modulus of uniform convexity of X. We call η monotone if it decreases with r (for fixed ϵ), i.e., ϵ>0, r 2 r 1 >0 (η( r 2 ,ϵ)η( r 1 ,ϵ)).

In the sequel, let (X,d) be a metric space, and let K be a nonempty subset of X. We shall denote the fixed point set of a mapping T by F(T)={xK:Tx=x}.

A mapping T:KK is said to be nonexpansive if

d(Tx,Ty)d(x,y),x,yK.

A mapping T:KK is said to be asymptotically nonexpansive if there exists a sequence { k n }[0,) with k n 0 such that

d ( T n x , T n y ) (1+ k n )d(x,y),n1,x,yK.

A mapping T:KK is said to be uniformly L-Lipschitzian if there exists a constant L>0 such that

d ( T n x , T n y ) Ld(x,y),n1,x,yK.

Definition 1.1 A mapping T:KK is said to be ({ μ n },{ ξ n },ρ)-total asymptotically nonexpansive if there exist nonnegative sequences { μ n }, { ξ n } with μ n 0, ξ n 0 and a strictly increasing continuous function ρ:[0,)[0,) with ρ(0)=0 such that

d ( T n x , T n y ) d(x,y)+ μ n ρ ( d ( x , y ) ) + ξ n ,n1,x,yK.
(1.1)

Remark 1.1 From the definitions, it is to know that each nonexpansive mapping is an asymptotically nonexpansive mapping with a sequence { k n =0}, and each asymptotically nonexpansive mapping is a ({ μ n },{ ξ n },ρ)-total asymptotically nonexpansive mapping with ξ n =0, and ρ(t)=t, t0.

The existence of fixed points of various nonlinear mappings has relevant applications in many branches of nonlinear analysis and topology. On the other hand, there are certain situations where it is difficult to derive conditions for the existence of fixed points for certain types of nonlinear mappings. It is worth to mention that fixed point theory for nonexpansive mappings, a limit case of a contraction mapping when the Lipschitz constant is allowed to be 1, requires tools far beyond metric fixed point theory. Iteration schemas are the only main tool for analysis of generalized nonexpansive mappings. Fixed point theory has a computational flavor as one can define effective iteration schemas for the computation of fixed points of various nonlinear mappings. The problem of finding a common fixed point of some nonlinear mappings acting on a nonempty convex domain often arises in applied mathematics.

The purpose of this paper is to introduce the concepts of total asymptotically nonexpansive mappings and to prove some Δ-convergence theorems of the mixed type iteration process for approximating a common fixed point of two asymptotically nonexpansive mappings and two total asymptotically nonexpansive mappings in hyperbolic spaces. The results presented in the paper extend and improve some recent results given in [619].

In order to define the concept of Δ-convergence in the general setup of hyperbolic spaces, we first collect some basic concepts.

Let { x n } be a bounded sequence in a hyperbolic space X. For xX, we define a continuous functional r(,{ x n }):X[0,) by

r ( x , { x n } ) = lim sup n d(x, x n ).

The asymptotic radius r({ x n }) of { x n } is given by

r ( { x n } ) =inf { r ( x , { x n } ) : x X } .

The asymptotic center A k ({ x n }) of a bounded sequence { x n } with respect to KX is the set

A K ( { x n } ) = { x X : r ( x , { x n } ) r ( y , { x n } ) , y K } .
(1.2)

This is the set of minimizers of the functional r(,{ x n }). If the asymptotic center is taken with respect to X, then it is simply denoted by A({ x n }). It is known that uniformly convex Banach spaces and CAT(0) spaces enjoy the property that ‘bounded sequences have unique asymptotic centers with respect to closed convex subsets’. The following lemma is due to Leustean [20] and ensures that this property also holds in a complete uniformly convex hyperbolic space.

Lemma 1.1 [20]

Let (X,d,W) be a complete uniformly convex hyperbolic space with monotone modulus of uniform convexity. Then every bounded sequence { x n } in X has a unique asymptotic center with respect to any nonempty closed convex subset K of X.

Recall that a sequence { x n } in X is said to Δ-converge to xX if x is the unique asymptotic center of { u n } for every subsequence { u n } of { x n }. In this case, we write Δ- lim n x n =x and call x the Δ-limit of { x n }.

A mapping T:KK is semi-compact if every bounded sequence { x n }K satisfying d( x n ,T x n )0 has a convergent subsequence.

Lemma 1.2 [9]

Let { a n }, { b n } and { δ n } be sequences of nonnegative real numbers satisfying

a n + 1 (1+ δ n ) a n + b n ,n1.
(1.3)

If n = 1 δ n < and n = 1 b n <, then the limit lim n a n exists. If there exists a subsequence { a n i }{ a n } such that a n i 0, then lim n a n =0.

Lemma 1.3 [12]

Let (X,d,W) be a uniformly convex hyperbolic space with monotone modulus of uniform convexity η. Let xX and { α n } be a sequence in [a,b] for some a,b(0,1). If { x n } and { y n } are sequences in X such that

lim sup n d ( x n , x ) c , lim sup n d ( y n , x ) c , lim n d ( W ( x n , y n , α n ) , x ) = c ,

for some c0, then lim n d( x n , y n )=0.

Lemma 1.4 [12]

Let K be a nonempty closed convex subset of uniformly convex hyperbolic space and { x n } be a bounded sequence in K such that A({ x n })={y} and r({ x n })=ζ. If { y m } is another sequence in K such that lim m r( y m ,{ x n })=ζ, then lim m y m =y.

2 Main results

Theorem 2.1 Let K be a nonempty closed convex subset of a complete uniformly convex hyperbolic space X with monotone modulus of uniform convexity η. Let T i :KK, i=1,2, be a uniformly L i -Lipschitzian and ({ μ n i },{ ξ n i }, ρ i )-total asymptotically nonexpansive mapping with sequence { μ n i } and { ξ n i } satisfying lim n μ n i =0, lim n ξ n i =0 and a strictly increasing function ρ i :[0,)[0,) with ρ i (0)=0, i=1,2, let S i :KK, i=1,2, be a uniformly L i ˜ -Lipschitzian and asymptotically nonexpansive mapping with sequence { k n i } satisfying lim n k n i =0. Assume that F:= i = 1 2 F( T i )F( S i ), and for arbitrarily chosen x 1 K, { x n } is defined as follows:

{ x n + 1 = W ( S 1 n x n , T 1 n y n , α n ) , y n = W ( S 2 n x n , T 2 n x n , β n ) ,
(2.1)

where { μ n i }, { ξ n i }, ρ i , k n i , i=1,2, { α n } and { β n } satisfy the following conditions:

  1. (1)

    n = 1 μ n i <, n = 1 ξ n i <, n = 1 k n i <, i=1,2;

  2. (2)

    There exist constants a,b(0,1) with 0<b(1a) 1 2 such that { α n }[a,b] and { β n }[a,b];

  3. (3)

    There exists a constant M >0 such that ρ i (r) M r, r>0, i=1,2;

  4. (4)

    d(x, T i y)d( S i x, T i y) for all x,yK and i=1,2.

Then the sequence { x n } defined by (2.1) Δ-converges to a common fixed point of F:= i = 1 2 F( T i )F( S i ).

Proof Set L=max{ L i , L i ˜ ,i=1,2}, μ n =max{ μ n i , k n i ,i=1,2} and ξ n =max{ ξ n i ,i=1,2}, ρ=max{ ρ i ,i=1,2}. By condition (1), we know that n = 1 μ n <, n = 1 ξ n <. The proof of Theorem 2.1 is divided into four steps.

Step 1. First we prove that lim n d( x n ,p) exists for each pF.

For any given pF, since T i , i=1,2, is a total asymptotically nonexpansive mapping and S i , i=1,2, is an asymptotically nonexpansive mapping, by condition (3) and (2.1), we have

d ( x n + 1 , p ) = d ( W ( S 1 n x n , T 1 n y n , α n ) , p ) ( 1 α n ) d ( S 1 n x n , p ) + α n d ( T 1 n y n , p ) ( 1 α n ) [ ( 1 + μ n ) d ( x n , p ) ] + α n [ d ( y n , p ) + μ n ρ ( d ( y n , p ) ) + ξ n ] ( 1 α n ) [ ( 1 + μ n ) d ( x n , p ) ] + α n [ ( 1 + μ n M ) d ( y n , p ) + ξ n ] ,
(2.2)

where

d ( y n , p ) = d ( W ( S 2 n x n , T 2 n x n , β n ) , p ) ( 1 β n ) d ( S 2 n x n , p ) + β n d ( T 2 n x n , p ) ( 1 β n ) [ ( 1 + μ n ) d ( x n , p ) ] + β n [ d ( x n , p ) + μ n ρ ( d ( x n , p ) ) + ξ n ] ( 1 β n ) [ ( 1 + μ n ) d ( x n , p ) ] + β n [ ( 1 + μ n M ) d ( x n , p ) + ξ n ] = [ 1 + ( 1 β n ) μ n + β n μ n M ] d ( x n , p ) + β n ξ n ( 1 + μ n + β n μ n M ) d ( x n , p ) + β n ξ n .
(2.3)

Substituting (2.3) into (2.2) and simplifying it, we have

d ( x n + 1 , p ) ( 1 α n ) [ ( 1 + μ n ) d ( x n , p ) ] + α n [ ( 1 + μ n M ) ( ( 1 + μ n + β n μ n M ) d ( x n , p ) + β n ξ n ) + ξ n ] = { 1 + [ 1 + α n M ( 1 + β n + μ n + β n μ n M ) ] μ n } d ( x n , p ) + ( 1 + β n + β n μ n M ) α n ξ n = ( 1 + δ n ) d ( x n , p ) + b n ,
(2.4)

where δ n = μ n (1+ α n M (1+ β n + μ n + β n μ n M )), b n =(1+ β n + β n μ n M ) α n ξ n . Since n = 1 μ n <, n = 1 ξ n < and condition (2), it follows from Lemma 1.2 that lim n d( x n ,p) exists for pF.

Step 2. We show that

lim n d( x n , T i x n )=0, lim n d( x n , S i x n )=0,i=1,2.
(2.5)

For each pF, from the proof of Step 1, we know that lim n d( x n ,p) exists. We may assume that lim n d( x n ,p)=c0. If c=0, then the conclusion is trivial. Next, we deal with the case c>0. From (2.3), we have

d( y n ,p) ( 1 + μ n + β n μ n M ) d( x n ,p)+ β n ξ n .
(2.6)

Taking lim sup on both sides in (2.6), we have

lim sup n d( y n ,p)c.
(2.7)

In addition, since

d ( T 1 n y n , p ) d( y n ,p)+ μ n ρ ( d ( y n , p ) ) + ξ n ( 1 + μ n M ) d( y n ,p)+ ξ n ,

and

d ( S 1 n x n , p ) (1+ μ n )d( x n ,p),

then we have

lim sup n d ( T 1 n y n , p ) c
(2.8)

and

lim sup n d ( S 1 n x n , p ) c.
(2.9)

Since lim n d( x n + 1 ,p)=c, it is easy to prove that

lim n d ( W ( S 1 n x n , T 1 n y n , α n ) , p ) =c.
(2.10)

It follows from (2.8)-(2.10) and Lemma 1.3 that

lim n d ( S 1 n x n , T 1 n y n ) =0.
(2.11)

By the same method, we can also prove that

lim n d ( S 2 n x n , T 2 n x n ) =0.
(2.12)

By virtue of condition (4), it follows from (2.11) and (2.12) that

lim n d ( x n , T 1 n y n ) lim n d ( S 1 n x n , T 1 n y n ) =0
(2.13)

and

lim n d ( x n , T 2 n x n ) lim n d ( S 2 n x n , T 2 n x n ) =0.
(2.14)

From (2.1) and (2.12) we have

d ( y n , S 2 n x n ) = d ( W ( S 2 n x n , T 2 n x n , β n ) , S 2 n x n ) β n d ( T 2 n x n , S 2 n x n ) 0 ( as  n ) .
(2.15)

Observe that

d( x n , y n )=d ( x n , T 2 n x n ) +d ( T 2 n x n , S 2 n x n ) +d ( S 2 n x n , y n ) .

It follows from (2.14) and (2.15) that

lim n d( x n , y n )=0.
(2.16)

This together with (2.13) implies that

d ( x n , T 1 n x n ) d ( x n , T 1 n y n ) + d ( T 1 n y n , T 1 n x n ) d ( x n , T 1 n y n ) + L d ( y n , x n ) 0 ( n ) .
(2.17)

On the other hand, from (2.11) and (2.16), we have

d ( S 1 n x n , T 1 n x n ) d ( S 1 n x n , T 1 n y n ) + d ( T 1 n y n , T 1 n x n ) d ( S 1 n x n , T 1 n y n ) + L d ( y n , x n ) 0 ( n ) .
(2.18)

Hence from (2.17) and (2.18), we have that

d ( S 1 n x n , x n ) d ( S 1 n x n , T 1 n x n ) +d ( T 1 n x n , x n ) 0(n).
(2.19)

In addition, since

d ( x n + 1 , x n ) = d ( W ( S 1 n x n , T 1 n y n , α n ) , x n ) ( 1 α n ) d ( S 1 n x n , x n ) + α n d ( T 1 n y n , x n ) ,

from (2.13) and (2.19), we have

lim n d( x n + 1 , x n )=0.
(2.20)

Finally, for all i=1,2, we have

d ( x n , T i x n ) d ( x n , x n + 1 ) + d ( x n + 1 , T i n + 1 x n + 1 ) + d ( T i n + 1 x n + 1 , T i n + 1 x n ) + d ( T i n + 1 x n , T i x n ) ( 1 + L ) d ( x n , x n + 1 ) + d ( x n + 1 , T i n + 1 x n + 1 ) + L d ( T i n x n , x n ) .

It follows from (2.14), (2.17) and (2.20) that

lim n d( x n , T i x n )=0,i=1,2.

By virtue of condition (4), d( S i x n , T i n x n )d( S i n x n , T i n x n ), we have

d ( x n , S i x n ) d ( x n , T i n x n ) + d ( S i x n , T i n x n ) d ( x n , T i n x n ) + d ( S i n x n , T i n x n ) ,

it follows from (2.12), (2.14), (2.17) and (2.18) that

lim n d( x n , S i x n )=0,i=1,2.

Step 3. Now we prove that the sequence { x n } Δ-converges to a common fixed point of F:= i = 1 2 F( T i )F( S i ).

In fact, for each pF, lim n d( x n ,p) exists. This implies that the sequence {d( x n ,p)} is bounded, so is the sequence { x n }. Hence, by virtue of Lemma 1.1, { x n } has a unique asymptotic center A K ({ x n })={x}.

Let { u n } be any subsequence of { x n } with A K ({ u n })={u}. It follows from (2.5) that

lim n d( u n , T i u n )=0.
(2.21)

Now, we show that uF( T i ). For this, we define a sequence { z n } in K by z j = T i j u. So we calculate

d ( z j , u n ) d ( T i j u , T i j u n ) + d ( T i j u n , T i j 1 u n ) + + d ( T i u n , u n ) d ( u , u n ) + μ j ρ ( d ( u , u n ) ) + ξ j + k = 1 j d ( T i k u n , T i k 1 u n ) ( 1 + μ j M ) d ( u , u n ) + ξ j + k = 1 j d ( T i k u n , T i k 1 u n ) .
(2.22)

Since T i is uniformly L-Lipschitzian, from (2.22) we have

d( z j , u n ) ( 1 + μ j M ) d(u, u n )+ ξ j +jLd( T i u n , u n ).

Taking lim sup on both sides of the above estimate and using (2.21), we have

r ( z j , { u n } ) = lim sup n d ( z j , u n ) ( 1 + μ j M ) lim sup n d ( u , u n ) + ξ j = ( 1 + μ j M ) r ( u , { u n } ) + ξ j .

And so

lim sup j r ( z j , { u n } ) r ( u , { u n } ) .

Since A K ({ u n })={u}, by the definition of asymptotic center A K ({ u n }) of a bounded sequence { u n } with respect to KX, we have

r ( u , { u n } ) r ( y , { u n } ) ,yK.

This implies that

lim inf j r ( z j , { u n } ) r ( u , { u n } ) .

Therefore we have

lim j r ( z j , { u n } ) =r ( u , { u n } ) .

It follows from Lemma 1.4 that lim j T i j u=u. As T i is uniformly continuous, so that T i u= T i ( lim j T i j u)= lim j T i j + 1 u=u. That is, uF( T i ). Similarly, we also can show that uF( S i ). Hence, u is the common fixed point of T i and S i . Reasoning as above by utilizing the uniqueness of asymptotic centers, we get that x=u. Since { u n } is an arbitrary subsequence of { x n }, therefore A({ u n })={u} for all subsequence { u n } of { x n }. This proves that { x n } Δ-converges to a common fixed point of F:= i = 1 2 F( T i )F( S i ). This completes the proof. □

The following theorem can be obtained from Theorem 2.1 immediately.

Theorem 2.2 Let K be a nonempty closed convex subset of a complete uniformly convex hyperbolic space X with monotone modulus of uniform convexity η. Let T i :KK, i=1,2, be a uniformly L i -Lipschitzian and asymptotically nonexpansive mapping with sequence { t n i }[1,) satisfying lim n t n i =1, and S i :KK, i=1,2, be a nonexpansive mapping. Assume that F:= i = 1 2 F( T i )F( S i ), for arbitrarily chosen x 1 K, { x n } is defined as follows:

{ x n + 1 = W ( S 1 x n , T 1 n y n , α n ) , y n = W ( S 2 x n , T 2 n x n , β n ) ,
(2.23)

where { t n i }, i=1,2, { α n } and β n satisfy the following conditions:

  1. (1)

    n = 1 ( t n i 1)<, i=1,2;

  2. (2)

    There exist constants a,b(0,1) with 0<b(1a) 1 2 such that { α n }[a,b] and { β n }[a,b];

  3. (3)

    d(x, T i y)d( S i x, T i y) for all x,yK and i=1,2.

Then the sequence { x n } defined in (2.23) Δ-converges to a common fixed point of F:= i = 1 2 F( T i )F( S i ).

Proof Take ρ i (t)=t, t0, ξ n i =0, μ n i = t n i 1, k n i =0, i=1,2, in Theorem 2.1. Since all the conditions in Theorem 2.1 are satisfied, it follows from Theorem 2.1 that the sequence { x n } Δ-converges to a common fixed point of F:= i = 1 2 F( T i )F( S i ).

This completes the proof of Theorem 2.2. □

Theorem 2.3 Let K be a nonempty closed convex subset of a complete uniformly convex hyperbolic space X with monotone modulus of uniform convexity η. Let T i :KK, i=1,2, be a uniformly L i -Lipschitzian and asymptotically nonexpansive mapping with sequence { t n i }[1,) satisfying lim n t n i =1. Assume that F:= i = 1 2 F( T i ), for arbitrarily chosen x 1 K, { x n } is defined as follows:

{ x n + 1 = W ( x n , T 1 n y n , α n ) , y n = W ( x n , T 2 n x n , β n ) ,
(2.24)

where { t n i }, i=1,2, { α n } and β n satisfy the following conditions:

  1. (1)

    n = 1 ( t n i 1)<, i=1,2;

  2. (2)

    There exist constants a,b(0,1) with 0<b(1a) 1 2 such that { α n }[a,b] and { β n }[a,b].

Then the sequence { x n } defined in (2.24) Δ-converges to a common fixed point of F:= i = 1 2 F( T i ).

Proof Take ρ i (t)=t, t0, ξ n i =0, μ n i = t n i 1, S i =I, i=1,2, in Theorem 2.1. Since all the conditions in Theorem 2.1 are satisfied, it follows from Theorem 2.1 that the sequence { x n } Δ-converges to a common fixed point of F:= i = 1 2 F( T i ).

This completes the proof of Theorem 2.3. □

References

  1. Kohlenbach U: Some logical metatheorems with applications in functional analysis. Trans. Amer. Math. Soc. 2004, 357(1):89–128.

    Article  MathSciNet  Google Scholar 

  2. Kuhfittig PKF: Common fixed points of nonexpansive mappings by iteration. Pacific J. Math. 1981, 97(1):137–139. 10.2140/pjm.1981.97.137

    Article  MathSciNet  Google Scholar 

  3. Reich S, Shafrir I: Nonexpansive iterations in hyperbolic spaces. Nonlinear Anal. 1990, 15: 537–558. 10.1016/0362-546X(90)90058-O

    Article  MathSciNet  Google Scholar 

  4. Goebel K, Reich S: Uniform Convexity, Hyperbolic Geometry and Nonexpansive Mappings. Dekker, New York; 1984.

    Google Scholar 

  5. Bridson N, Haefliger A: Metric Spaces of Non-Positive Curvature. Springer, Berlin; 1999.

    Book  Google Scholar 

  6. Leustean L:A quadratic rate of asymptotic regularity for CAT(0) spaces. J. Math. Anal. Appl. 2007, 325: 386–399. 10.1016/j.jmaa.2006.01.081

    Article  MathSciNet  Google Scholar 

  7. Agarwal RP, O’Regan D, Sahu DR: Iterative construction of fixed points of nearly asymptotically nonexpansive mappings. J. Nonlinear convex Anal. 2007, 8(1):61–79.

    MathSciNet  Google Scholar 

  8. Chang SS, Cho YJ, Zhou H: Demiclosed principal and weak convergence problms for asymptotically nonexpansive mappings. J. Korean. Math. Soc. 2001, 38(6):1245–1260.

    MathSciNet  Google Scholar 

  9. Chang SS, Wang L, Lee HWJ, et al.:Total asymptotically nonexpansive mappings in a CAT(0) space demiclosed principle and Δ-convergence theorems for total asymptotically nonexpansive mappings in a CAT(0) space. Appl. Math. Comput 2012, 219: 2611–2617. 10.1016/j.amc.2012.08.095

    Article  MathSciNet  Google Scholar 

  10. Fukhar-ud-din H, Khan AR: Approximating common fixed points of asymptotically nonexpansive maps in uniformly convex Banach spaces. Comput. Math. Appl. 2007, 53: 1349–1360. 10.1016/j.camwa.2007.01.008

    Article  MathSciNet  Google Scholar 

  11. Gu F, Fu Q: Strong convergence theorems for common fixed points of multistep iterations with errors in Banach spaces. J. Inequal. Appl. 2009., 2009: Article ID 819036 10.1155/2009/819036

    Google Scholar 

  12. Khan AR, Fukhar-ud-din H, Kuan MAA: An implicit algorithm for two finite families of nonexpansive maps in hyperbolic spaces. Fixed Point Theory Appl. 2012., 2012: Article ID 54 10.1186/1687-1812-2012-54

    Google Scholar 

  13. Khan AR, Khamsi MA, Fukhar-ud-din H:Strong convergence of a general iteration scheme in CAT(0) spaces. Nonlinear Anal. 2011, 74: 783–791. 10.1016/j.na.2010.09.029

    Article  MathSciNet  Google Scholar 

  14. Osilike MO, Aniagbosor SC: Weak and strong convergence theorems for fixed points of asymptotically nonexpansive mappings. Math. Compt. Model. 2000, 32: 1181–1191. 10.1016/S0895-7177(00)00199-0

    Article  MathSciNet  Google Scholar 

  15. Sahin A, Basarir M: On the strong convergence of a modified S -iteration process for asymptotically quasi-nonexpansive mappings in a CAT(0) space. Fixed Point Theory Appl. 2013., 2013: Article ID 12 10.1186/1687-1812-2013-12

    Google Scholar 

  16. 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 

  17. Schu J: Iterative construction of fixed points of asymptotically nonexpansive mappings. J. Math. Anal. Appl. 1991, 158: 407–413. 10.1016/0022-247X(91)90245-U

    Article  MathSciNet  Google Scholar 

  18. Tan KK, Xu HK: Fixed point iteration process for asymptotically nonexpansive mappings. Proc. Amer. Math. Soc. 1994, 122(3):733–739. 10.1090/S0002-9939-1994-1203993-5

    Article  MathSciNet  Google Scholar 

  19. Yao Y, Liou YC: New iterative schemes for asymptotically quasi-nonexpansive mappings. J. Inequal. Appl. 2010., 2010: Article ID 934692 10.1155/2010/934692

    Google Scholar 

  20. Leustean L: Nonexpansive iteration in uniformly convex W -hyperbolic spaces. Contemporary Mathematics 513. In Nonlinear Analysis and Optimization I: Nonlinear Analysis. Edited by: Leizarowitz A, Mordukhovich BS, Shafrir I, Zaslavski A. Am. Math. Soc., Providence; 2010:193–209.

    Chapter  Google Scholar 

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Acknowledgements

The authors would like to express their thanks to the editors and referees for their useful comments and suggestions. This work is supported by Scientific Research Fund of SiChuan Provincial Education Department (No. 11ZA222) and the Natural Science Foundation of Yibin University (No. 2012S07) and the National Natural Science foundation of China (Grant No. 11361070).

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Correspondence to Shih-sen Chang.

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Zhao, Lc., Chang, Ss. & Kim, J.K. Mixed type iteration for total asymptotically nonexpansive mappings in hyperbolic spaces. Fixed Point Theory Appl 2013, 353 (2013). https://doi.org/10.1186/1687-1812-2013-353

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