Skip to main content

Viscosity approximation method for generalized asymptotically quasi-nonexpansive mappings in a convex metric space

Abstract

A general viscosity iterative method for a finite family of generalized asymptotically quasi-nonexpansive mappings in a convex metric space is introduced. Special cases of the new iterative method are the viscosity iterative method of Chang et al. (Appl. Math. Comput. 212:51-59, 2009), an analogue of the viscosity iterative method of Fukhar-ud-din et al. (J. Nonlinear Convex Anal. 16:47-58, 2015) and an extension of the multistep iterative method of Yildirim and Özdemir (Arab. J. Sci. Eng. 36:393-403, 2011). Our results generalize and extend the corresponding known results in uniformly convex Banach spaces and \(\operatorname{CAT}(0)\) spaces simultaneously.

1 Introduction and preliminaries

Let C be a nonempty subset of a metric space X and \(T:C\rightarrow C\) be a mapping. We assume that \(F(T)\), the set of fixed points of T, is nonempty and \(I= \{ 1,2,3,\ldots,r \} \). The mapping T is (i) quasi-nonexpansive if \(d ( Tx,Ty ) \leq d ( x,y ) \) for \(x\in C\), \(y\in F ( T ) \); (ii) asymptotically quasi-nonexpansive if there exists a sequence of real numbers \(\{u_{n}\}\) in \([0,\infty)\) with \(\lim_{n\rightarrow\infty}u_{n}=0\) such that \(d ( T^{n}x,p ) \leq ( 1+u_{n} ) d ( x,p ) \) for all \(x\in C\), \(p\in F ( T ) \) and \(n\geq1\); (iii) generalized asymptotically quasi-nonexpansive [1] if there exist two sequences of real numbers \(\{ u_{n}\}\) and \(\{c_{n}\}\) in \([0,\infty)\) with \(\lim_{n\rightarrow\infty }u_{n}=0=\lim_{n\rightarrow\infty}c_{n}\) such that \(d ( T^{n}x,p ) \leq d ( x,p ) +u_{n}d ( x,p ) +c_{n} \) for all \(x\in C\), \(p\in F ( T ) \) and \(n\geq1\); (iv) uniformly L-Lipschitzian if there exists a constant \(L>0\) such that \(d ( T^{n}x,T^{n}y ) \leq Ld ( x,y ) \) for all \(x,y\in C\) and \(n\geq1\); (v) uniformly Hölder continuous if there are constants \(L>0\), \(\gamma>0\) such that \(d ( T^{n}x,T^{n}y ) \leq Ld ( x,y ) ^{\gamma}\) for all \(x,y\in C\) and \(n\geq1\); and (vi) semi-compact if for a sequence \(\{x_{n}\}\) in C with \(\lim_{n\rightarrow \infty}d ( x_{n},Tx_{n} ) =0\), there exists a subsequence \(\{x_{n_{i}}\}\) of \(\{x_{n}\}\) such that \(x_{n_{i}}\) converges to a point in C.

Clearly, the class of generalized asymptotically quasi-nonexpansive mappings includes the class of asymptotically quasi-nonexpansive mappings.

The following example improves and extends Example 3.2 in [1] to a finite family of generalized asymptotically quasi-nonexpansive mappings.

Example 1.1

Let \(E= \mathbb{R} \) and \(C = [- \frac{1}{\pi} , \frac{1}{\pi} ]\) and define \(T_{i}x=\frac{x}{i+1}\sin(\frac{1}{x}) \) if \(x\neq0\) and \(T_{i}x=0\) if \(x=0\) for all \(x\in C\) and \(i\in I\). Then \(T_{i}^{n} x\rightarrow0\) uniformly (see [2]). For each fixed n, define \(f_{ in}(x)=\| T _{i}^{n} x\|-\|x\|\) for all x in C and \(i\in I\). Set \(c _{in}= \sup_{x\in C}\{f _{in}(x),0\}\). Then \(\lim_{n\rightarrow\infty}c _{in} =0\) and

$$ \bigl\Vert T _{i }^{n} x\bigr\Vert \leq\|x\|+c _{in}. $$

This shows that \(\{T_{i}: i\in I\}\) is a finite family of generalized asymptotically quasi-nonexpansive mappings with \(\bigcap_{i\in I}F(T_{i})\neq \emptyset\).

Convergence theorems for various mappings through different iterative methods have been obtained by a number of authors (e.g., [1, 3, 4] and the references therein). For more on the study of fixed point iteration process, the interested reader is referred to Berinde [5] and Ciric [6, 7].

Let C be a convex subset of a normed space. Yildirim and Özdemir [8] introduced the following multistep iterative method:

$$ \begin{aligned} &x_{1} \in C, \\ &x_{n+1} =(1-a_{1n})y_{n+r-2}+a_{1n}T_{1}^{n} y_{n+r-2}, \\ &y_{n+r-2} =(1-a_{2 n})y_{n+r-3}+a_{2n}T_{2}^{n}y_{n+r-3}, \\ &\vdots \\ &y_{n+1} =(1-a_{(r-1)n})y_{n}+a_{(r-1)n}T_{(r-1)}^{n} y_{n}, \\ &y_{n} =(1-a_{ r n})x_{n}+a_{rn}T_{r}^{n} x_{n},\quad r\geq2, n\geq1, \end{aligned} $$
(1.1)

where \(\{ T_{i}:i\in I \} \) is a family of self-mappings of C, \(a_{in} \in[\epsilon,1-\epsilon]\), for some \(\epsilon\in(0,\frac{1}{2})\), for all \(n\geq1\).

If \(T_{1}=T_{2}=\cdots=T_{r}\) and \(\alpha_{jn}=0\) for \(j=1,\ldots,r\) and \(r\geq1\), then the iterative method (1.1) reduces to the Mann iterative method [9]. Let us note that the scheme (1.1) and multistep scheme (1.3) in [10] are independent of each other.

Moudafi [11] proposed a viscosity iterative method by selecting a particular fixed point of a given nonexpansive mapping. The so-called viscosity iterative method has been studied by many authors (see, for example, [3, 12]). These methods are very important because of their applicability to convex optimization, linear programming, monotone inclusions and elliptic differential equations [11].

Recently, Chang et al. [13] introduced and studied the following viscosity iterative method:

$$ \begin{aligned} &x_{n+1} =(1-\alpha_{n})f ( x_{n} ) +\alpha_{n}T^{n} y_{n}, \\ &y_{n} =(1-\beta_{n})x_{n}+\beta_{n}T^{n}x_{n}, \quad n\geq1, \end{aligned} $$
(1.2)

where T is an asymptotically nonexpansive mapping [14] and f is a fixed contraction.

The iterative methods in (1.1) and (1.2) involve convex combinations, and so a convex structure is needed to define them on a nonlinear domain.

A mapping \(W: X^{2}\times J\rightarrow X\) is a convex structure [15] on a metric space X if

$$ d \bigl( u,W ( x,y,\alpha ) \bigr) \leq\alpha d(u,x)+(1-\alpha )d(u,y) $$

for all \(x,y,u\in X\) and \(\alpha\in J=[0,1]\). The metric space X together with a convex structure W is known as a convex metric space. A nonempty subset C of a convex metric space X is convex if \(W(x,y,\alpha)\in C\) for all \(x,y\in C\) and \(\alpha\in J\). All normed linear spaces are convex metric spaces, but there are convex metric spaces which are not linear; for example, a \(\operatorname{CAT} ( 0 ) \) space [16, 17].

A convex metric space X is uniformly convex if for any \(\varepsilon>0\), there exists \(\delta=\delta ( \varepsilon ) >0\) such that for all \(r>0\) and \(x,y,z\in X\) with \(d ( z,x ) \leq r\), \(d ( z,y ) \leq r\) and \(d ( x,y ) \geq r\varepsilon\) imply that \(d ( z,W ( x,y,\frac{1}{2} ) ) \leq ( 1-\delta ) r\).

A mapping \(\eta:(0,\infty)\times(0,2]\rightarrow(0,1]\) which provides such \(\delta=\eta(r,\epsilon)\) for given \(r>0\) and \(\varepsilon\in (0,2]\) is called modulus of uniform convexity. We call η monotone if it decreases with r (for a fixed ϵ).

Obviously, uniformly convex Banach spaces are uniformly convex metric spaces.

In general, a convex structure W is not continuous [18]. Throughout this paper, we assume that W is continuous.

We now devise a general iterative method which extends the methods in (1.1) and (1.2) simultaneously in a convex metric space.

We define an \(S_{n}\)-mapping generated by a family \(\{T_{i}:i\in I\}\) of generalized asymptotically quasi-nonexpansive mappings on C as

$$ S_{n}x=U_{rn}x, $$
(1.3)

where \(U_{0n}=I\) (the identity mapping), \(U_{1n}x=W(T_{r}^{n}U_{0n}x,U_{0n}x,a_{rn}), U_{2n}x=W(T_{r-1}^{n}U_{1n}x, U_{1n}x,a_{(r-1)n}),\ldots,U_{rn}x=W(T_{1}^{n}U_{ ( r-1 ) n}x,U_{ ( r-1 ) n}x,a_{1n})\).

For \(\{\alpha_{n}\}\subset J\), a fixed contractive mapping f on C and \(S_{n}\) given in (1.3), we define \(\{ x_{n} \} \) as follows:

$$ x_{1}\in C,\quad x_{n+1}=W\bigl(f ( x_{n} ) ,S_{n}x_{n},\alpha_{n}\bigr) $$
(1.4)

and call it a general viscosity iterative method in a convex metric space.

The purpose of this paper is to:

  1. (i)

    establish a necessary and sufficient condition for convergence of iterative method (1.4) to a common fixed point of a finite family of generalized asymptotically quasi-nonexpansive mappings on a convex metric space;

  2. (ii)

    prove strong convergence and -convergence results for the iterative method (1.4) to a common fixed point of a finite family of generalized asymptotically quasi-nonexpansive mappings on a uniformly convex metric space.

We now assume that \(F=\bigcap_{i\in I}F(T_{i})\neq\emptyset\).

We need the following known results for our convergence analysis.

Lemma 1.1

(cf. [19])

Let the sequences \(\{a_{n}\}\) and \(\{u_{n}\}\) of real numbers satisfy

$$ a_{n+1}\leq(1+u_{n})a_{n},\quad a_{n} \geq0, u_{n}\geq0,\sum_{n=1}^{\infty }u_{n}< + \infty. $$

Then (i) \(\lim_{n\rightarrow\infty}a_{n}\) exists; (ii) if \(\liminf_{n\rightarrow\infty}a_{n}=0\), then \(\lim_{n\rightarrow\infty}a_{n}=0\).

Lemma 1.2

([20])

Let X be a uniformly convex metric space. Let \(x\in X\) and \(\{a_{n}\}\) be a sequence in \([b,c]\) for some \(b,c\in(0,1)\). If \(\{u_{n}\}\) and \(\{v_{n}\}\) are sequences in X such that \(\limsup_{n\rightarrow\infty}d(u_{n},x)\leq r\), \(\limsup_{n\rightarrow\infty}d(v_{n},x)\leq r\) and \(\lim_{n\rightarrow\infty}d(W(u_{n},v_{n},a_{n}),x)=r\) for some \(r\geq0\), then \(\lim_{n\rightarrow\infty}d(u_{n},v_{n})=0\).

2 Convergence in convex metric spaces

In this section, we prove some results for the viscosity iterative method (1.4) to converge to a common fixed point of a finite family of generalized asymptotically quasi-nonexpansive mappings in a convex metric space.

Lemma 2.1

Let C be a nonempty, closed and convex subset of a convex metric space X and \(\{T_{i}:i\in I\}\) be a family of generalized asymptotically quasi-nonexpansive self-mappings of C, i.e., \(d ( T_{i}^{n}x,p_{i} ) \leq(1+u_{in})d ( x,p_{i} ) +c_{in}\) for all \(x\in C\) and \(p_{i}\in F(T_{i})\), \(i\in I\), where \(\{u_{in}\}\) and \(\{ c_{in} \} \) are sequences in \([0,\infty)\) with \(\sum_{n=1}^{\infty}u_{in}<\infty\), \(\sum_{n=1}^{\infty}c_{in}<\infty\) for each i. Then, for the sequence \(\{x_{n}\}\) in (1.4) with \(\sum_{n=1}^{\infty}\alpha_{n}<\infty\), there are sequences \(\{\nu _{n}\}\) and \(\{\xi_{n}\}\) in \([0,\infty)\) satisfying \(\sum_{n=1}^{\infty}\nu _{n}<\infty\), \(\sum_{n=1}^{\infty}\xi_{n}<\infty\) such that

  1. (a)

    \(d ( x_{n+1},p ) \leq ( 1+\nu_{n} ) ^{r}d ( x_{n},p ) +\xi_{n}\) for all \(p\in F\) and all \(n\geq1\);

  2. (b)

    \(d ( x_{n+m},p ) \leq M_{1} ( d ( x_{n},p ) +\sum_{n=1}^{\infty}\xi_{n} ) \) for all \(p\in F\) and \(n\geq 1\), \(m\geq 1\), \(M_{1}>0\).

Proof

(a) Let \(p\in F\) and \(\nu_{n}=\max_{i\in I}u_{in}\) for all \(n\geq1\). Since \(\sum_{n=1}^{\infty}u_{in}<\infty\) for each i, therefore \(\sum_{n=1}^{\infty}\nu_{n}<\infty\).

Now we have

$$\begin{aligned} d ( U_{1n}x_{n},p ) =&d \bigl( W\bigl(T_{r}^{n}U_{0n}x_{n},U_{0n}x_{n},a_{rn} \bigr),p \bigr) \\ \leq&(1- a _{rn})d ( x_{n},p ) + a _{rn}d \bigl( T_{r}^{n}x_{n},p \bigr) \\ \leq&(1- a _{rn})d ( x_{n},p ) + a _{rn} \bigl[ (1+u_{rn})d ( x_{n},p ) +c_{rn} \bigr] \\ \leq&(1+u_{rn})d ( x_{n},p ) +c_{rn} \\ \leq&(1+\nu_{n})^{1}d ( x_{n},p ) +c_{rn}. \end{aligned}$$

Assume that \(d ( U_{kn}x_{n},p ) \leq(1+\nu_{n})^{k}d ( x_{n},p ) +(1+\nu_{n})^{k-1}\sum_{i=1}^{k}c_{(r-i+1)n}\) holds for some \(1< k\).

Consider

$$\begin{aligned} d ( U_{ ( k+1 ) n}x_{n},p ) =&d \bigl( W\bigl(T_{r-k }^{n}U_{kn}x_{n},U_{kn}x_{n},a_{ ( r-k ) n} \bigr),p \bigr) \\ \leq&(1-a_{ ( r-k ) n})d (U_{kn} x_{n},p ) +a_{ ( r-k ) n}d \bigl( T_{r-k}^{n}U_{kn}x_{n},p \bigr) \\ \leq&(1-a_{ ( r-k ) n})d (U_{kn} x_{n},p ) +a_{ ( r-k ) n}\bigl[(1+u_{ ( r-k ) n})d ( U_{kn}x_{n},p ) +c_{(r-k)n}\bigr] \\ \leq&(1+\nu_{ n})d ( U_{kn}x_{n},p ) +c_{(r-k)n} \\ \leq&(1+\nu_{ n})\Biggl[(1+\nu_{n})^{k}d ( x_{n},p ) +(1+\nu _{n})^{k-1}\sum _{i=1}^{k}c_{(r-i+1)n}\Biggr] +c_{(r-k)n} \\ \leq& (1+\nu_{n})^{k+1}d ( x_{n},p ) +(1+\nu _{n})^{k}\sum_{i=1}^{k+1}c_{(r-i+1)n}. \end{aligned}$$

By mathematical induction, we have

$$ d ( U_{jn}x_{n},p ) \leq(1+\nu_{n})^{j}d ( x_{n},p ) +(1+\nu_{n})^{j-1}\sum _{i=1}^{j}c_{(r-i+1)n},\quad 1\leq j\leq r. $$
(2.1)

Hence

$$ d ( S_{n}x_{n},p ) =d ( U_{rn}x_{n},p ) \leq(1+\nu _{n})^{r}d ( x_{n},p ) +(1+\nu _{n})^{r-1}\sum_{i=1}^{r}c_{(r-i+1)n}. $$
(2.2)

Now, by (1.4) and (2.2), we obtain

$$\begin{aligned} d ( x_{n+1},p ) =&d \bigl( W\bigl(f ( x_{n} ) ,S_{n}x_{n},\alpha_{n}\bigr),p \bigr) \\ \leq&\alpha_{n}d \bigl( f ( x_{n} ) ,p \bigr) + ( 1-\alpha _{n} ) d ( S_{n}x_{n},p ) \\ \leq&\alpha_{n} d ( x_{n},p ) +\alpha_{n}d \bigl( f ( p ) ,p \bigr) \\ &{}+ ( 1-\alpha_{n} ) \Biggl( (1+\nu_{n})^{r}d ( x_{n},p ) +(1+\nu_{n})^{r-1}\sum _{i=1}^{r}c_{(r-i+1)n} \Biggr) \\ \leq&(1+\nu_{n})^{r}d ( x_{n},p ) + ( 1-\alpha _{n} ) (1+\nu_{n})^{r-1}\sum _{i=1}^{r}c_{(r-i+1)n} +\alpha_{n}d \bigl( f ( p ) ,p \bigr) \\ \leq&(1+\nu_{n})^{r}d ( x_{n},p ) + \alpha_{n}d \bigl( f ( p ) ,p \bigr) +(1+\nu_{n})^{r-1} \sum_{i=1}^{r}c_{(r-i+1)n}. \end{aligned}$$

Setting \(\max \{ d ( f ( p ) ,p ) ,\sup(1+\nu _{n})^{r-1} \} =M\), we get that

$$ d ( x_{n+1},p ) \leq(1+\nu_{n})^{r}d ( x_{n},p ) +M \Biggl( \alpha_{n}+\sum _{i=1}^{r}c_{(r-i+1)n} \Biggr) . $$

That is,

$$ d ( x_{n+1},p ) \leq(1+\nu_{n})^{r}d ( x_{n},p ) +\xi _{n}, $$

where \(\xi_{n}=M ( \alpha_{n}+\sum_{i=1}^{r}c_{(r-i+1)n} ) \) and \(\sum_{n=1}^{\infty}\xi_{n}<\infty\).

(b) We know that \(1+t\leq e^{t}\) for \(t\geq0\). Thus, by part (a), we have

$$\begin{aligned} d ( x_{n+m},p ) \leq&(1+\nu_{n+m-1})^{r}d ( x_{n+m-1},p ) +\xi_{n+m-1} \\ \leq&e^{r\nu_{n+m-1}}d ( x_{n+m-1},p ) +\xi_{n+m-1} \\ \leq&e^{r ( \nu_{n+m-1}+\nu_{n+m-2} ) }d ( x_{n+m-2},p ) +\xi_{n+m-1}+ \xi_{n+m-2} \\ &\vdots \\ \leq&e^{r\sum_{i=n}^{n+m-1}v_{i}}d ( x_{n},p ) +\sum _{i=n+1}^{n+m-1}v_{i}\sum _{i=n}^{n+m-1}\xi_{i} \\ \leq&e^{r\sum_{i=1}^{\infty}v_{i}} \Biggl( d ( x_{n},p ) +\sum _{i=1}^{\infty}\xi_{i} \Biggr) \\ =&M_{1} \Biggl( d ( x_{n},p ) +\sum _{i=1}^{\infty}\xi _{i} \Biggr) ,\quad \text{where }M_{1}=e^{r\sum_{i=1}^{\infty}v_{i}}. \end{aligned}$$

 □

The next result deals with a necessary and sufficient condition for the convergence of \(\{x_{n}\}\) in (1.4) to a point of F.

Theorem 2.1

Let C, \(\{T_{i}:i\in I\}\), F, \(\{ u_{in} \} \) and \(\{ c_{in} \} \) be as in Lemma  2.1. Let X be complete. The sequence \(\{x_{n}\}\) in (1.4) with \(\sum_{n=1}^{\infty}\alpha _{n}<\infty\) converges strongly to a point in F if and only if \(\liminf_{n\rightarrow\infty}d(x_{n},F)=0\), where \(d(x,F)=\inf_{p\in F} ( x,p ) \).

Proof

The necessity is obvious; we only prove the sufficiency. By Lemma 2.1(a), we have

$$ d ( x_{n+1},p ) \leq(1+\nu_{n})^{r}d ( x_{n},p ) +\xi _{n}\quad \text{for all }p\in F\text{ and }n \geq1. $$

Therefore,

$$\begin{aligned} d(x_{n+1},F) \leq&(1+\nu_{n})^{r}d(x_{n},F)+ \xi_{n} \\ =& \Biggl( 1+\sum_{k=1}^{r} \frac{r(r-1)\cdots(r-k+1)}{k!}\nu _{n}^{k} \Biggr) d(x_{n},F)+ \xi_{n}. \end{aligned}$$

As \(\sum_{n=1}^{\infty}\nu_{n}<+\infty\), so \(\sum_{n=1}^{\infty }\sum_{k=1}^{r}\frac{r(r-1)\cdots(r-k+1)}{k!}\nu_{n}^{k}<\infty\). Now \(\sum_{n=1}^{\infty}\xi_{n}<\infty\) in Lemma 2.1(a), so by Lemma 1.1 and \(\liminf_{n\rightarrow\infty}d(x_{n},F)=0\), we get that \(\lim_{n\rightarrow\infty}d(x_{n},F)=0\). Next, we prove that \(\{x_{n}\}\) is a Cauchy sequence in X. Let \(\varepsilon>0\). From the proof of Lemma 2.1(b), we have

$$ d ( x_{n+m},x_{n} ) \leq d ( x_{n+m},F ) +d ( x_{n},F ) \leq ( 1+M_{1} ) d ( x_{n},F ) +M_{1}\sum_{i=n}^{\infty} \xi_{i}. $$
(2.3)

As \(\lim_{n\rightarrow\infty}d(x_{n},F)=0\) and \(\sum_{i=1}^{\infty }\xi _{i}<\infty\), so there exists a natural number \(n_{0}\) such that

$$ d(x_{n},F)\leq\frac{\varepsilon}{2 ( 1+M_{1} ) }\quad \text{and}\quad \sum _{i=n}^{\infty}\xi_{i}< \frac{\varepsilon}{2M_{1}}\quad \text{for all } n\geq n_{0}. $$

So, for all integers \(n\geq n_{0}\), \(m\geq1\), we obtain from (2.3) that

$$ d ( x_{n+m},x_{n} ) < ( M_{1}+1 ) \frac{\varepsilon}{ 2 ( 1+M_{1} ) }+M_{1}\frac{\varepsilon}{2M_{1}}=\varepsilon. $$

Thus, \(\{x_{n}\}\) is a Cauchy sequence in X and so it converges to \(q\in X\). Finally, we show that \(q\in F\). For any \(\overline{\varepsilon}>0\), there exists a natural number \(n_{1}\) such that

$$ d(x_{n},F)=\inf_{p\in F}d ( x_{n},p ) < \frac{\overline {\varepsilon}}{3}\quad \text{and}\quad d ( x_{n},q ) < \frac{\overline{\varepsilon }}{2} \quad \text{for all }n\geq n_{1}. $$

There must exist \(p^{\ast}\in F\) such that \(d ( x_{n},p^{\ast } ) <\frac{\overline{\varepsilon}}{2}\) for all \(n\geq n_{1}\); in particular, \(d ( x_{n_{1}},p^{\ast} ) <\frac{\overline{\varepsilon}}{2}\) and \(d ( x_{n_{1}},q ) <\frac{\overline{\varepsilon}}{2}\).

Hence

$$ d \bigl( p^{\ast},q \bigr) \leq d \bigl( x_{n_{1}},p^{\ast} \bigr) +d ( x_{n_{1}},q ) < \overline{\varepsilon}. $$

Since ε̅ is arbitrary, therefore \(d ( p^{\ast },q ) =0\). That is, \(q=p^{\ast}\in F\). □

Remark 2.1

A generalized asymptotically nonexpansive mapping is a generalized asymptotically quasi-nonexpansive mapping. So Theorem 2.1 holds good for the class of generalized asymptotically nonexpansive mappings.

3 Results in a uniformly convex metric space

The aim of this section is to establish some convergence results for the iterative method (1.4) of generalized asymptotically quasi-nonexpansive mappings on a uniformly convex metric space.

Lemma 3.1

Let C be a nonempty, closed and convex subset of a uniformly convex metric space X and \(\{T_{i}:i\in I\}\) be a family of uniformly Hölder continuous and generalized asymptotically quasi-nonexpansive self-mappings of C, i.e., \(d ( T_{i}^{n}x,p_{i} ) \leq (1+u_{in})d ( x,p_{i} ) +c_{in}\) for all \(x\in C\) and \(p_{i}\in F(T_{i})\), where \(\{u_{in}\}\) and \(\{c_{in}\}\) are sequences in \([0,\infty)\) with \(\sum_{n=1}^{\infty}u_{in}<\infty\) and \(\sum_{n=1}^{\infty }c_{in}<\infty\), respectively, for each \(i\in I\). Then, for the sequence \(\{x_{n}\}\) in (1.4) with \(a_{in}\in{}[\delta,1-\delta]\) for some \(\delta\in ( 0,\frac{1}{2} ) \) and \(\sum_{n=1}^{\infty }\alpha_{n}<\infty\), we have \(\lim_{n\rightarrow\infty}d ( x_{n},T_{j}x_{n} ) =0\) for each \(j\in I\).

Proof

Let \(p\in F\) and \(\nu_{n}=\max_{i\in I}u_{in}\) for all \(n\geq1\). By Lemma 1.1(i) and Lemma 2.1(a), it follows that \(\lim_{n\rightarrow\infty}d ( x_{n},p ) \) exists for all \(p\in F\). Assume that

$$ \lim_{n\rightarrow\infty}d ( x_{n},p ) =c. $$
(3.1)

Inequality (2.1) together with (3.1) gives that

$$ \limsup_{n\rightarrow\infty}d ( U_{jn}x_{n},p ) \leq c, \quad 1\leq j\leq r. $$
(3.2)

By (1.4), we have

$$\begin{aligned} d ( x_{n+1},p ) & =d \bigl( W\bigl(f ( x_{n} ) ,S_{n}x_{n},\alpha_{n}\bigr),p \bigr) \\ & \leq\alpha_{n}d \bigl( f ( x_{n} ) ,p \bigr) + ( 1-\alpha _{n} ) d ( S_{n}x_{n},p ) \\ & \leq\alpha_{n}d \bigl( f ( x_{n} ) ,p \bigr) +\alpha _{n}d \bigl( f ( p ) ,p \bigr) + ( 1-\alpha_{n} ) d ( U_{rn}x_{n},p ) , \end{aligned}$$

and hence

$$ c\leq\liminf_{n\rightarrow\infty}d ( U_{rn}x_{n},p ). $$
(3.3)

Combining (3.2) and (3.3), we get

$$ \lim_{n\rightarrow\infty}d ( U_{rn}x_{n},p ) =c. $$

Note that

$$\begin{aligned} d ( U_{rn}x_{n},p ) =&d\bigl(W\bigl(T_{1}^{n}U_{ ( r-1 ) n}x_{n},U_{ ( r-1 ) n}x_{n},a_{1n} \bigr),p\bigr) \\ \leq&a_{1n}d\bigl( T_{1}^{n}U_{ ( r-1 ) n}x_{n},p \bigr)+(1-a_{1n})d( U_{ ( r-1 ) n}x_{n},p) \\ \leq&a_{1n}\bigl[(1+u_{1n})d ( U_{ ( r-1 ) n}x_{n},p ) +c_{1n} \bigr]+(1-a_{1n})d( U_{ ( r-1 ) n}x_{n},p) \\ \leq&a_{1n}(1+\nu_{ n})d ( U_{ ( r-1 ) n}x_{n},p )+a_{1n} c_{1n} \\ \leq&a_{1n}(1+\nu_{ n})\bigl[a_{2n}(1+ \nu_{ n})d ( U_{ ( r-2 ) n}x_{n},p )+a_{2n} c_{2 n}\bigr]+a_{1n}(1+\nu_{ n})c_{1n} \\ \leq&a_{1n}a_{2n}(1+\nu_{ n})^{2} d ( U_{ ( r-2 ) n}x_{n},p )+a_{1n}a_{2n}(1+ \nu_{ n}) c_{2 n} + a_{1n} c_{1 n} \\ &\vdots \\ \leq&a_{1n}a_{2n}\cdots a_{(j-1)n}(1+ \nu_{ n})^{j-1} d ( U_{ ( r-(j-1) ) n}x_{n},p ) \\ &{}+a_{1n}a_{2n}\cdots a_{(j-1)n}(1+\nu_{ n}) ^{(j-1)-1}c_{(j-1) n} \\ &{}+a_{1n}a_{2n}\cdots a_{((j-1)-1)n}(1+\nu_{ n}) ^{(j-1)-2}c_{((j-1)-1) n}+\cdots \\ &{}+a_{1n}a_{2n}(1+\nu_{ n}) c_{2 n} + a_{1n} c_{1 n}. \end{aligned}$$

Hence

$$ c\leq\liminf_{n\rightarrow\infty}d ( U_{(r-(j-1))n}x_{n},p ) , \quad 1\leq j\leq r . $$
(3.4)

Using (3.2) and (3.4), we have

$$ \lim_{n\rightarrow\infty}d ( U_{(r-(j-1))n}x_{n},p ) =c. $$

That is,

$$ \lim_{n\rightarrow\infty}d \bigl( W\bigl(T_{j}^{n}U_{ ( r-j ) n}x_{n},U_{ ( r-j ) n}x_{n},a_{jn} \bigr),p \bigr) =c\quad \text{for }1\leq j\leq r. $$

This together with (3.1), (3.2) and Lemma 1.2 gives that

$$ \lim_{n\rightarrow\infty}d \bigl( T_{j}^{n}U_{ ( r-j ) n}x_{n},U_{ ( r-j ) n}x_{n}, \bigr) =0\quad \text{for }1\leq j\leq r. $$
(3.5)

If \(j=r\),we have by (3.5)

$$ \lim_{n\rightarrow\infty}d \bigl( T_{r}^{n}x_{n},x_{n} \bigr) =0. $$

In case \(j\in \{ 1,2,3,\ldots,r-1 \} \), we observe that

$$\begin{aligned} d ( x_{n},U_{ ( r-j ) n}x_{n} ) =&d \bigl( x_{n},W \bigl( T_{j+1}^{n}U_{ (r-( j+1) ) n}x_{n},U_{ (r-( j+1) ) n}x_{n},a_{ ( j+1 ) n} \bigr) \bigr) \\ \leq&a_{ ( j+1 ) n}d \bigl( T_{j+1}^{n}U_{ ( r-( j+1) ) n}x_{n},x_{n} \bigr)+(1- a_{ ( j+1 ) n})d ( U_{ ( r-( j+1) ) n}x_{n},x_{n} ) \\ \leq& (1+\nu_{n})d ( U_{ ( r-( j+1) ) n}x_{n},x_{n} )+c_{ ( j+1 ) n} \\ &\vdots \\ \leq&(1+\nu_{n})^{r-j}d ( U_{0 n}x_{n},x_{n} )+(1+\nu_{n})^{r-j-1}c_{r n} \\ &{}+(1+\nu_{n})^{r-j-2}c_{ ( r-1 ) n}+\cdots+(1+ \nu_{n})c_{ ( j+2 ) n}+ c_{ ( j+1 ) n}. \end{aligned}$$

Hence,

$$ \lim_{n\rightarrow\infty}d ( x_{n},U_{ ( r-j ) n}x_{n} )=0. $$
(3.6)

Since \(T_{j}\) is uniformly Hölder continuous, therefore the inequality

$$\begin{aligned} d \bigl( T_{j}^{n}x_{n},x_{n} \bigr) \leq&d \bigl( T_{j}^{n}x_{n},T_{j}^{n}U_{ ( r-j ) n}x_{n} \bigr) +d \bigl( T_{j}^{n}U_{ ( r-j ) n}x_{n},U_{ ( r-j ) n}x_{n} \bigr) \\ &{}+d( U_{ ( r-j ) n}x_{n},x_{n}) \\ \leq&Ld ( x_{n},U_{ ( r-j ) n}x_{n} ) ^{\gamma }+d ( x_{n},U_{ ( r-j ) n}x_{n} )+d \bigl( T_{j}^{n}U_{ ( r-j ) n}x_{n},U_{ ( r-j ) n}x_{n} \bigr) \end{aligned}$$

together with (3.5) and (3.6) gives that

$$ \lim_{n\rightarrow\infty}d \bigl( T_{j}^{n}x_{n},x_{n} \bigr) =0. $$

Hence,

$$ d \bigl( T_{j}^{n}x_{n},x_{n} \bigr) \rightarrow0\quad \text{as }n\rightarrow \infty\text{ for }1\leq j\leq r. $$
(3.7)

As before, we can show that

$$\begin{aligned} d ( x_{n},x_{n+1} ) =&d \bigl( x_{n},W\bigl(f ( x_{n} ) ,S_{n}x_{n},\alpha_{n}\bigr) \bigr) \\ \leq&\alpha_{n} ( 1+\alpha ) d ( x_{n},p ) +\alpha _{n}d \bigl( p,f ( p ) \bigr) \\ &{}+ (1-\alpha_{n})\bigl[ a_{1n}d \bigl( U_{ ( r-1 ) n}x_{n},T_{1}^{n}U_{ ( r-1 ) n}x_{n} \bigr)+ d ( x_{n}, U_{ ( r-1 ) n}x_{n} )\bigr]. \end{aligned}$$

Therefore, by (3.5) and (3.6), we get

$$ \lim_{n\rightarrow\infty}d ( x_{n},x_{n+1} ) =0. $$
(3.8)

Let us observe that

$$\begin{aligned} d ( x_{n},T_{j}x_{n} ) \leq&d ( x_{n},x_{n+1} ) +d \bigl( x_{n+1},T_{j}^{n+1}x_{n+1} \bigr) \\ &{}+d \bigl( T_{j}^{n+1}x_{n+1},T_{j}^{n+1}x_{n} \bigr) +d \bigl( T_{j}^{n+1}x_{n},T_{j}x_{n} \bigr) \\ \leq&d ( x_{n},x_{n+1} ) +d \bigl( x_{n+1},T_{j}^{n+1}x_{n+1} \bigr) \\ &{}+Ld ( x_{n+1},x_{n} ) ^{\gamma}+Ld \bigl( T_{j}^{n}x_{n},x_{n} \bigr) ^{\gamma}. \end{aligned}$$

By the uniform Hölder continuity of \(T_{j}\), (3.7) and (3.8), we get

$$ \lim_{n\rightarrow\infty}d ( x_{n},T_{j}x_{n} ) =0,\quad 1\leq j\leq r. $$
(3.9)

 □

Theorem 3.1

Under the hypotheses of Lemma  3.1, assume, for some \(1\leq j\leq r\), that \(T_{j}^{m}\) is semi-compact for some positive integer m. If X is complete, then \(\{x_{n}\}\) in (1.4) converges strongly to a point in F.

Proof

Fix \(j\in I\) and suppose \(T_{j}^{m}\) to be semi-compact for some \(m\geq1\). By (3.9), we obtain

$$\begin{aligned} d \bigl( T_{j}^{m}x_{n},x_{n} \bigr) \leq&d \bigl( T_{j}^{m}x_{n},T_{j}^{m-1}x_{n} \bigr) +d \bigl( T_{j}^{m-1}x_{n},T_{j}^{m-2}x_{n} \bigr) \\ &{}+\cdots+d \bigl( T_{j}^{2}x_{n},T_{j}x_{n} \bigr) +d ( T_{j}x_{n},x_{n} ) \\ \leq&d ( T_{j}x_{n},x_{n} ) + ( m-1 ) Ld ( T_{j}x_{n},x_{n} ) ^{\gamma}\rightarrow0. \end{aligned}$$

Since \(\{x_{n}\}\) is bounded and \(T_{j}^{m}\) is semi-compact, \(\{x_{n}\}\) has a convergent subsequence \(\{x_{n_{i}}\}\) such that \(x_{n_{i}}\rightarrow q\in C\). Hence, by (3.9), we have

$$ d ( q,T_{i}q ) =\lim_{n\rightarrow\infty}d ( x_{n_{j}},T_{i}x_{n_{j}} ) =0,\quad i\in I. $$

Thus \(q\in F\), and so by Theorem 2.1, \(\{x_{n}\}\) converges strongly to a common fixed point q of the family \(\{T_{i}:i\in I\}\). □

An immediate consequence of Lemma 3.1 and Theorem 3.1 is the following strong convergence result in uniformly convex metric spaces.

Theorem 3.2

Let C, \(\{T_{i}:i\in I\}\), F, \(\{ u_{in} \} \) and \(\{ c_{in} \} \) be as in Lemma  3.1. If there exists a constant M such that \(d ( x_{n},T_{j}x_{n} ) \geq Md(x_{n},F)\) for all \(n\geq1\) and X is complete, then the sequence \(\{x_{n}\}\) in (1.4) converges strongly to a point in F.

The concept of -convergence in a metric space was introduced by Lim [21] and its analogue in \(\operatorname{CAT}(0)\) spaces was investigated by Dhompongsa and Panyanak [22]. Here we study -convergence in uniformly convex metric spaces.

For this, we collect some basic concepts.

Let \(\{x_{n}\}\) be a bounded sequence in a uniformly convex metric space X. For \(x\in X\), define a continuous functional \(r(\cdot,\{x_{n}\} ):X\rightarrow {}[0,\infty)\) by

$$ r\bigl(x,\{x_{n}\}\bigr)=\limsup_{n\rightarrow\infty}d(x,x_{n}). $$

The asymptotic radius \(\rho=r(\{x_{n}\})\) of \(\{x_{n}\}\) is given by

$$ \rho=\inf\bigl\{ r\bigl(x,\{x_{n}\}\bigr):x\in X\bigr\} . $$

The asymptotic center of a bounded sequence \(\{x_{n}\}\) with respect to a subset C of X is defined as follows:

$$ A_{C}\bigl(\{x_{n}\}\bigr)=\bigl\{ x\in X:r\bigl(x, \{x_{n}\}\bigr)\leq r\bigl(y,\{x_{n}\}\bigr)\text{ for any }y \in C\bigr\} . $$

If the asymptotic center is taken with respect to X, then it is simply denoted by \(A(\{x_{n}\})\). A sequence \(\{x_{n}\}\) in X is said to -converge to \(x\in X\) if x is the unique asymptotic center of \(\{u_{n}\}\) for every subsequence \(\{u_{n}\}\) of \(\{x_{n}\}\). In this case, we write \(\triangle\mbox{-} \lim_{n}x_{n}=x\) and call x as -limit of \(\{x_{n}\}\).

Lemma 3.2

([23])

Let \((X,d)\) be a complete uniformly convex metric 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 C of X.

Lemma 3.3

([20])

Let C be a nonempty closed convex subset of a uniformly convex metric space and \(\{x_{n}\}\) be a bounded sequence in C such that \(A(\{x_{n}\})=\{y\}\) and \(r(\{x_{n}\})=\rho\). If \(\{ y_{m}\} \) is another sequence in C such that \(\lim_{m\rightarrow\infty }r(y_{m},\{x_{n}\})=\rho\), then \(\lim_{m\rightarrow\infty}y_{m}=y\).

Now, we establish -convergence of the iterative method (1.4).

Theorem 3.3

Let C be a nonempty, closed and convex subset of a complete uniformly convex metric space X with monotone modulus of uniform convexity η, and let \(\{T_{i}:i\in I\}\) be a family of uniformly L-Lipschitzian and generalized asymptotically nonexpansive self-mappings of C such that \(F\neq\phi\), i.e., \(d ( T_{i}^{n}x,T_{i}^{n}y ) \leq (1+u_{in})d ( x,y ) +c_{in}\) for all \(x,y\in C\), where \(\{ u_{in}\}\) and \(\{c_{in}\}\) are sequences in \([0,\infty)\) with \(\sum_{n=1}^{\infty }u_{in}<\infty\) and \(\sum_{n=1}^{\infty}c_{in}<\infty\), respectively, for each \(i\in I\). Then the sequence \(\{x_{n}\}\) in (1.4) with \(a_{in}\in {}[\delta,1-\delta]\) for some \(\delta\in ( 0,\frac {1}{2} ) \) and \(\sum_{n=1}^{\infty}\alpha_{n}<\infty\), -converges to a common fixed point of \(\{T_{j}:j\in I\}\).

Proof

By Lemma 3.1, \(\{x_{n}\}\) is bounded, and so by Lemma 3.2, \(\{ x_{n}\}\) has a unique asymptotic center, that is, \(A(\{x_{n}\})=\{x\}\). Let \(\{z_{n}\} \) be any subsequence of \(\{x_{n}\}\) such that \(A(\{z_{n}\} )=\{z\}\). Also by Lemma 3.1, we have \(\lim_{n\rightarrow\infty}d ( z_{n},T_{j}z_{n} ) =0\) for each \(j\in I\).

We claim that z is a common fixed point of \(\{T_{j}:j\in I\}\). To show this, we define a sequence \(\{w_{k}\}\) in C by \(w_{k}=T^{k}_{j}z\),

$$\begin{aligned} d (w_{k},z_{n} ) =& d \bigl(T^{k}_{j}z,z_{n} \bigr) \\ \leq&d \bigl(T^{k}_{j}z,T^{k}_{j}z_{n} \bigr)+\sum_{i=1}^{k}d \bigl(T^{i}_{j}z_{n},T^{i-1}_{j}z_{n} \bigr) \\ \leq&(1+u_{jn})d ( z, z_{n} )+c_{jn}+kLd (T_{j} z_{n},z_{n} ). \end{aligned}$$

Taking lim sup,

$$ \limsup_{n\rightarrow\infty} d (w_{k},z_{n} )\leq \limsup _{n\rightarrow\infty}d ( z, z_{n} ), $$

i.e., \(r(T^{k}_{j}z,{z_{n}})\leq r( z,{z_{n}})\). It follows from Lemma 3.3 that \(\lim_{k\rightarrow\infty}T^{k}_{j}z=z\). As \(T _{j}\) is uniformly continuous, we have \(T _{j}z=T _{j} (\lim_{k\rightarrow \infty}T^{k}_{j}z )=\lim_{k\rightarrow\infty}T^{k+1}_{j}z =z\). Therefore, z is a common fixed point of \(\{T_{j} :j\in I\} \).

Recall that \(\lim_{n\rightarrow\infty}d(x_{n},z)\) exists by Lemma 3.1.

Suppose \(x\neq z\). By the uniqueness of asymptotic centers, we obtain

$$\begin{aligned} \limsup_{n\rightarrow\infty}d(z_{n},z) < &\limsup _{n\rightarrow\infty }d(z_{n},x) \\ \leq&\limsup_{n\rightarrow\infty}d(x_{n},x) \\ < &\limsup_{n\rightarrow\infty}d(x_{n},z) \\ =&\limsup_{n\rightarrow\infty}d(z_{n},z), \end{aligned}$$

a contradiction. Hence \(x=z\). Since \(\{z_{n}\}\) is an arbitrary subsequence of \(\{x_{n}\}\), therefore \(A(\{z _{n}\})=\{z\}\) for all subsequences \(\{z_{n}\} \) of \(\{x_{n}\}\). This proves that \(\{x_{n}\}\) -converges to a common fixed point of \(\{T_{j} :j\in I\}\). □

Remark 3.1

  1. (i)

    Lemma 3.1, Theorems 3.1 and 3.3 set an analogue of Theorems 2.8-2.10 in [24] and Lemma 3.2, Theorems 3.4 and 3.5 in [25], in uniformly convex metric spaces.

  2. (ii)

    Lemma 3.1 and Theorem 3.1 provide an analogue of Lemma 3.7 and Theorem 3.8 in [1] and Lemma 2.6 and Theorem 2.7 in [4] in uniformly convex metric spaces.

  3. (iii)

    Theorems 2.1 and 3.3 extend Theorems 3.2, 3.6, and 3.7 in [8], to convex metric spaces.

  4. (iv)

    Our results give an analogue of the results in [26].

Open problem

Assume that the initial point is the same in scheme (1.1) and multistep scheme (1.3) in [10]. Under what conditions are these schemes equivalent?

References

  1. Shahzad, N, Zegeye, H: Strong convergence of an implicit iteration process for a finite family of generalized asymptotically quasi-nonexpansive maps. Appl. Math. Comput. 189, 1058-1065 (2007)

    Article  MATH  MathSciNet  Google Scholar 

  2. Kim, TH, Choi, JW: Asymptotic behavior of almost-orbits of non-Lipschitzian mappings in Banach spaces. Math. Jpn. 38, 191-197 (1993)

    MATH  Google Scholar 

  3. Plubtieng, S, Thammathiwat, T: A viscosity approximation method for finding a common solution of fixed points and equilibrium problems in Hilbert spaces. J. Glob. Optim. 50, 313-327 (2011)

    Article  MATH  MathSciNet  Google Scholar 

  4. Zhao, J, He, S, Liu, G: Strong convergence theorems for generalized asymptotically quasi-nonexpansive mappings. J. Appl. Math. Comput. 30, 53-64 (2009)

    Article  MATH  MathSciNet  Google Scholar 

  5. Berinde, V: Iterative Approximation of Fixed Points. Springer, Berlin (2007)

    MATH  Google Scholar 

  6. Ciric, LB: Generalized contractions and fixed-point theorems. Publ. Inst. Math. (Belgr.) 12, 19-26 (1971)

    MathSciNet  Google Scholar 

  7. Ciric, LB: A generalization of Banach’s contraction principle. Proc. Am. Math. Soc. 45, 267-273 (1974)

    Article  MATH  MathSciNet  Google Scholar 

  8. Yildirim, I, Özdemir, M: Approximating common fixed points of asymptotically quasi-nonexpansive mappings by a new iterative process. Arab. J. Sci. Eng. 36, 393-403 (2011)

    Article  MATH  MathSciNet  Google Scholar 

  9. Mann, WR: Mean value methods in iteration. Proc. Am. Math. Soc. 4, 506-510 (1953)

    Article  MATH  Google Scholar 

  10. Khan, AR, Domlo, AA, Fukhar-ud-din, H: Common fixed points Noor iteration for a finite family of asymptotically quasi-nonexpansive mappings in Banach space. J. Math. Anal. Appl. 341, 1-11 (2008)

    Article  MATH  MathSciNet  Google Scholar 

  11. Moudafi, A: Viscosity approximation methods for fixed-points problems. J. Math. Anal. Appl. 241, 46-55 (2000)

    Article  MATH  MathSciNet  Google Scholar 

  12. Xu, HK: Viscosity approximation methods for nonexpansive mappings. J. Math. Anal. Appl. 298, 279-291 (2004)

    Article  MATH  MathSciNet  Google Scholar 

  13. Chang, SS, Lee, HWJ, Chan, CK, Kim, JK: Approximating solutions of variational inequalities for asymptotically nonexpansive mappings. Appl. Math. Comput. 212, 51-59 (2009)

    Article  MATH  MathSciNet  Google Scholar 

  14. Goebel, K, Kirk, W: A fixed point theorem for asymptotically nonexpansive mappings. Proc. Am. Math. Soc. 35, 171-174 (1972)

    Article  MATH  MathSciNet  Google Scholar 

  15. Takahashi, W: A convexity in metric spaces and nonexpansive mappings. Kodai Math. Semin. Rep. 22, 142-149 (1970)

    Article  MATH  Google Scholar 

  16. Bridson, M, Haefliger, A: Metric Spaces of Non-positive Curvature. Springer, Berlin (1999)

    Book  MATH  Google Scholar 

  17. Khan, AR, Khamsi, MA, Fukhar-ud-din, H: Strong convergence of a general iteration scheme in \(\operatorname{CAT}(0)\)-spaces. Nonlinear Anal. 74, 783-791 (2011)

    Article  MATH  MathSciNet  Google Scholar 

  18. Talman, LA: Fixed points for condensing multifunctions in metric spaces with convex structure. Kodai Math. Semin. Rep. 29, 62-70 (1977)

    Article  MATH  MathSciNet  Google Scholar 

  19. Sun, Z-H: Strong convergence of an implicit iteration process for a finite family of asymptotically quasi-nonexpansive mappings. J. Math. Anal. Appl. 286, 351-358 (2003)

    Article  MATH  MathSciNet  Google Scholar 

  20. Khan, AR, Fukhar-ud-din, H, Khan, MAA: An implicit algorithm for two finite families of nonexpansive maps in hyperbolic spaces. Fixed Point Theory Appl. 2012, 54 (2012)

    Article  MathSciNet  Google Scholar 

  21. Lim, TC: Remarks on some fixed point theorems. Proc. Am. Math. Soc. 60, 179-182 (1976)

    Article  Google Scholar 

  22. Dhompongsa, S, Panyanak, B: On -convergence theorems in \(\operatorname{CAT}(0)\)-spaces. Comput. Math. Appl. 56, 2572-2579 (2008)

    Article  MATH  MathSciNet  Google Scholar 

  23. Leustean, L: Nonexpansive iterations in uniformly convex W-hyperbolic spaces. In: Leizarowitz, A, Mordukhovich, BS, Shafrir, I, Zaslavski, A (eds.) Nonlinear Analysis and Optimization I. Nonlinear Analysis. Contemp. Math., vol. 513, pp. 193-209. Am. Math. Soc., Providence (2010)

    Google Scholar 

  24. Cholamjiak, W, Suantai, S: Weak and strong convergence theorems for a finite family of generalized asymptotically quasi-nonexpansive mappings. Comput. Math. Appl. 60, 1917-1923 (2010)

    Article  MATH  MathSciNet  Google Scholar 

  25. Yatakoat, P, Suantai, S: Weak and strong convergence theorems for a finite family of generalized asymptotically quasi-nonexpansive nonself-mappings. Int. J. Nonlinear Anal. Appl. 3, 9-16 (2012)

    MATH  Google Scholar 

  26. Fukhar-Ud-Din, H, Khamsi, MA, Khan, AR: Viscosity iterative method for a finite family of generalized asymptotically quasi-nonexpansive mappings in convex metric spaces. J. Nonlinear Convex Anal. 16, 47-58 (2015)

    MATH  MathSciNet  Google Scholar 

Download references

Acknowledgements

The author AR Khan is grateful to KACST for supporting research project ARP-32-34. The third and the fourth authors are grateful to KFUPM for supporting research project IN121055.

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Nusrat Yasmin.

Additional information

Competing interests

The authors declare that they have no competing interests.

Authors’ contributions

The authors have contributed to this work on an equal basis. 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 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made.

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Khan, A.R., Yasmin, N., Fukhar-ud-din, H. et al. Viscosity approximation method for generalized asymptotically quasi-nonexpansive mappings in a convex metric space. Fixed Point Theory Appl 2015, 196 (2015). https://doi.org/10.1186/s13663-015-0447-6

Download citation

  • Received:

  • Accepted:

  • Published:

  • DOI: https://doi.org/10.1186/s13663-015-0447-6

MSC

Keywords