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Vol. 14, No. 1 (2019), pp 167-179 DOI: 10.7508/ijmsi.2019.01.015

Iterative Process for an

α−Nonexpansive Mapping and a Mapping Satisfying Condition(C) in a Convex Metric Space

Hafiz Fukhar-ud-din

Department of Mathematics and Statistics, King Fahd University of Petroleum and Minerals, Dhahran 31261, Saudi Arabia.

E-mail: [email protected]

Abstract. We construct one−step iterative process for anα− nonexpan-sive mapping and a mapping satisfying condition (C) in the framework of a convex metric space. We study△−convergence and strong convergence of the iterative process to the common fixed point of the mappings. Our results are new and valid in hyperbolic spaces,CAT(0) spaces, Banach spaces and Hilbert spaces, simultaneously.

Keywords: Convex metric space, One−step iterative process,α−Nonexpansive

mapping, Condition(C), Common fixed point, Convergence.

2000 Mathematics subject classification: 47H09, 47H10, 49M05.

1. Introduction

Let K be a nonempty subset of a metric space X and T : K → K be a mapping. Denote byF(T), the set of fixed points ofT.We say thatT is:

(1) nonexpansive if d(T x, T y)≤d(x, y) forx, y∈K

(2) quasi-nonexpansive ifd(T x, y)≤d(x, y) forx∈K, y∈F(T)

Received 14 November 2016; Accepted 28 April 2018 c

2019 Academic Center for Education, Culture and Research TMU

167

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(3) said to satisfy condition(C) if 1

2d(x, T x)≤d(x, y) impliesd(T x, T y)≤

d(x, y) forx, y∈K

(4) α−nonexpansive ifd(T x, T y)2αd(T x, y)2+αd(x, T y)2+(12α)d(x, y)2 forx, y∈K and for someα <1.

In 2008, Suzuki[15] proposed the condition (C) and showed that it is weaker than nonexpansiveness but stronger than quasi-nonexpansiveness.

Aoyama and Kohsaka[2] introduced the class ofα−nonexpansive mappings in Banach spaces and concluded the following facts:

(i) 0−nonexpansive mapping is nonexpansive (ii) 1

2−nonexpansive mapping is nonspreading

(iii) 1

3−nonexpansive mapping is hybrid mapping

The following example shows that α−nonexpansive mapping and a map-ping satisfying condition(C) are two different generalizations of nonexpansive mappings with a common fixed point.

Example 1.1. TakeX =R, K = [0,3] andT, S:KKby

T x= (

0 if x6= 3 1 ifx= 3 and

Sx= (

0 if x6= 3 2 ifx= 3.

Here we see that T satisfies condition(C) andS is 1

4−nonexpansive with 0 as their common fixed point. Also, T is not anα−nonexpansive andS does not satisfy condition(C). Moreover, bothSandT are discontinuous mappings and therefore are not nonexpansive.

Takahashi and Tamura[17] studied the weak convergence of two nonexpan-sive mappingsT1 andT2in the setting of Banach space using the scheme

x1∈K, xn+1= (1−αn)xn+αnT1{βnT2xn+ (1−βn)xn} (1.1)

where 0< a≤αn, βn≤b <1.

Dhompongsa et al. [5] used the scheme(1.1) to prove the weak convergence theorem of a nonspreading mapping and a mapping satisfying condition(C) in the framework of Hilbert spaces(see also [3],[10],[13]). Wattanawitoon and Khamlae[18] also considered the scheme(1.1) for proving the convergence theo-rem for anα−nonexpansive mapping and a mapping satisfying the condition(C)

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in Hilbert spaces. The proof of their main result depends on the following iden-tity in Hilbert spaces

kx+yk2=kxk2+kyk2+ 2hx, yi. (1.2) A nonlinear framework for the iterative construction of fixed points of cer-tain classes of nonlinear mappings is a metric space embedded with a convex structure.

Takahashi[16] introduced a convex structureW :X2×IX on a metric spaceX satisfying

(W1): d(u, W(x, y, λ))≤λd(u, x) + (1−λ)d(u, y) for allx, y, u∈X andλ∈I= [0,1].

A metric spaceX with a convex structure W is known as a convex metric space and is also denoted byX.

In general, convex structureW is not continuous. However, if the inequality

d(W(x, y, λ), W(x, z, λ))≤(1−λ)d(z, w) holds in the convex metric spaceX,then it becomes continuous.

Kohlenbach [11] enriched the concept of Takahashi convex metric space as ”hyperbolic space” by including the following additional conditions in the def-inition of a convex metric space.

(W2) : d(W(x, y, λ1), W(x, y, λ2)) =|λ1−λ2|d(x, y) (W3) : W(x, y, λ) =W(y, x,1−λ)

(W4) : d(W(x, z, λ), W(y, w, λ))≤λd(x, y) + (1−λ)d(z, w) for allx, y, z, w∈X and λ, λ1, λ2∈I.

A nonempty subset K of X is convex if and only if W(x, y, λ)∈ K for all

x, y∈K andλ∈I.

A convex metric spaceX is uniformly convex [14] if for allu, x, y∈X, r >0 andε∈(0,2],there exists aδ >0 such that d W(x, y,1

2), u

≤(1−δ)r < r,

wheneverd(x, u)≤r, d(y, u)≤randd(x, y)≥rε.

Let{xn}be a bounded sequence in X.We definer(.,{xn}) onX by

r(x,{xn}) = lim sup n→∞

d(x, xn), x∈X.

The asymptotic radiusrK({xn}) of{xn}with respect toK⊆Xis defined as

rK({xn}) = inf

x∈Kr(x,{xn})

and the asymptotic centerAK({xn}) of{xn} with respect toK is the set

AK({xn}) ={y∈K:r(y,{xn}) =rK({xn})}.

A sequence{xn}in (X, d) (a) is Fej´er monotone with respect to a subsetK

of X ifd(xn+1, x)≤d(xn, x) for all x∈K (b)△−converges tox∈X ifxis

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the unique asymptotic center for every subsequence{un}of{xn}. In this case,

we write△ −limnxn=x.

In this paper, we are interested to approximate common fixed point of an

α−nonexpansive mapping and a mapping satisfying condition(C) in the convex metric space. Due to lack of the identity(1.2) in the convex metric space, we are unable to approximate common fixed point of the mappings through convex metric version of scheme(1.1). Therefore, we propose a one−step iterative scheme to approximate common fixed point of an α−nonexpansive mapping and a mapping satisfying condition(C) in the setting of a convex metric space. Our scheme is as under

x1∈K, xn+1=W

T xn, W

Sxn, xn,

βn

1−αn

, αn

(1.3) where 0< a≤αn, βn≤b <1 andαn+βn <1.

WhenS=I in (1.3), it reduces to Mann iterative scheme [12]

xn+1=W(T xn, xn, αn).

In a normed space setting, (1.3) becomes one−step iterative scheme[19]

xn+1=αnT xn+βnSxn+ (1−αn−βn)xn

where 0< a≤αn, βn ≤b <1 andαn+βn<1.

Here, we state some results which will be needed in the main section.

Lemma 1.2. [15] LetT be a self-mapping on a subsetK of a metric spaceX.

If T satisfies condition(C), then

d(x, T y)≤3d(T x, x) +d(x, y)

holds for allx, y ∈K.

Lemma 1.3. [4]LetKbe a nonempty closed subset of a complete metric space

(X, d)and{xn} a Fej´er monotone sequence with respect toK.Then{xn}

con-verges to some pointp∈K if and only if limn→∞d(xn, K) = 0.

Lemma 1.4. [6]LetKbe a nonempty, closed and convex subset of a complete

and uniformly convex metric spaceX. Then every bounded sequence {xn} in

X has a unique asymptotic center with respect toK.

Lemma 1.5. [7] Let X be a uniformly convex metric space with continuous

convex structure W.Let x∈Xand{an} be a sequence in[b, c]for some b, c∈

(0,1). If {un} and{vn} are sequences in X such thatlim supn−→∞d(un, x)≤

r, lim supn−→∞d(vn, x) ≤ rand limn−→∞d(W(un, vn, an), x) = r for some

r≥0,thenlimn→∞d(un, vn) = 0.

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Lemma 1.6. [8] Let K be a nonempty, closed and convex subset of a metric spaceX andT be anα−nonexpansive mapping on K.For any x, y∈K, the following assertions hold:

(i) If0≤α <1,thend(x, T y)2≤ 1+α

1−αd(x, T x)

2 + 2

1−α{αd(x, y) +d(T x, T y)}d(x, T x)+

d(x, y)2,

(ii) Ifα <0,thend(x, T y)2≤d(x, T x)2+ 2

1−α{d(T x, T y)−αd(T x, y)}d(x, T x)+

d(x, y)2.

From now onwards, for anα−nonexpansive mapping T onKandS a map-ping onK satisfying condition(C), we setF =F(S)∩F(T).

2. Convergence Theorems

We start with the following lemma.

Lemma 2.1. Let K be a subset of a metric space X. Let T : K → K be

an α−nonexpansive sel-mapping for some α <1 and S a self-mapping on K satisfying condition(C) withF6=φ.ThenT andS are quasi-nonexpansive and F is closed.

Proof. Letx∈K andz∈F.Consider

d(T x, z)2 = d(T x, T z)2

≤ αd(T x, z)2+αd(x, T z)2+ (12α)d(x, z)2 = αd(T x, z)2+αd(x, z)2+ (12α)d(x, z)2 = αd(T x, z)2+ (1−α)d(x, z)2.

That is,

d(T x, z)≤d(x, z) and

1

2d(z, Sz) = 0 gives that

d(Sx, z)≤d(x, z).

Therefore, bothS andT are quasi-nonexpansive.

Let{zn} be a sequence inF such thatzn→z.We claim thatz∈F.

Since

d(Sz, zn)≤d(z, zn)→0 andd(T z, zn)≤d(z, zn)→0,

thereforeSz=z=T z,proving that F is closed.

Lemma 2.2. Let K be a nonempty, closed and convex subset of a convex

metric spaceX. LetT be anα−nonexpansive self-mapping onK andS a self-mapping onK satisfying condition(C) such thatF 6=φ.Then for the sequence

{xn} in (1.3), we have the followings:

(i){xn} is a Fej´er monotone sequence with respect to F

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(ii) limn→∞d(xn, p) exists for eachp∈F

(iii)limn→∞d(xn, F)exists.

Proof. With the help of (W1) and the scheme(1.3), for anyp∈F,we have

d(xn+1, p) = d

W

T xn, W

Sxn, xn,

βn

1−αn

, αn

, p

≤ αnd(T xn, p) + (1−αn)d

W

Sxn, xn,

βn

1−αn

, p

≤ (1−αn)

βn

1−αn

d(Sxn, p) +

1− βn 1−αn

d(xn, p)

+αnd(xn, p)

≤ (1−αn)

βn

1−αn

d(xn, p) +

1− βn 1−αn

d(xn, p)

+αnd(xn, p)

= αnd(xn, p) +βnd(xn, p) + (1−αn−βn)d(xn, p)

= d(xn, p).

That is,

d(xn+1, p)≤d(xn, p). (2.1)

Immediately, (2.1) gives that (i): {xn} is a Fej´er monotone sequence with

re-spect to F and (ii): limn→∞d(xn, p)exists for each p∈F.

Finally infp∈Fd(xn+1, p)≤infp∈Fd(xn, p) provides that (iii): limn→∞d(xn, F)

exists.

Lemma 2.3. LetKbe a nonempty, closed and convex subset of a complete and

uniformly convex metric spaceX with continuous convex structureW.LetT be an α−nonexpansive self-mapping onK andS a self-mapping on K satisfying condition(C) such that F 6= φ. If {zn} is any bounded sequence in K with

A({zn}) ={z} and

lim

n→∞d(zn, Szn) = 0 = limn→∞d(zn, T zn), thenz∈F.

Proof. LetA({zn}) ={z}.We show thatz∈F.

By Lemma 1.2, we have

d(zn, Sz)≤3d(zn, Szn) +d(zn, z)

which further implies that lim sup

n→∞

d(zn, Sz) ≤ 3 lim sup n→∞

d(zn, Szn) + lim sup n→∞

d(zn, z)

= lim sup

n→∞

d(zn, z).

By the uniqueness of asymptotic centers (Lemma 1.4), we have thatSz=z.

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Next, we show thatT z=z.

Since{zn} is bounded and limn→∞d(zn, T zn) = 0, therefore{T zn} is also

bounded. SetM = supn≥1{d(zn, z), d(T zn, z), d(T zn, T z)}<∞.

Applying Lemma 1.6 (i)-(ii) for 0≤α <1 andα <0, respectively, we have that

d(zn, T z)2 ≤

1 +α

1−αd(zn, T zn)

2

+ 2

1−α(αd(zn, z) +d(T zn, T z))d(zn, T zn)

+d(zn, z)2

≤ 1 +α

1−αd(zn, T zn)

2

+2M(1 +α)

1−α d(zn, T zn) +d(zn, z)

2

and

d(zn, T z)2 ≤ d(zn, T zn)2+

2

1−α(d(T zn, T z)−αd(T zn, z))d(zn, T zn)

+d(zn, z)2

≤ d(zn, T zn)2+ 2M d(zn, T zn) +d(zn, z)2

Taking lim supn→∞ on both sides in the above two inequalities and using the

fact that limn→∞d(zn, T zn) = 0,we have that

lim sup

n→∞

d(zn, T z)2≤lim sup n→∞

d(zn, z)2.

By the uniqueness of asymptotic centers (Lemma 1.4),T z=z.

Lemma 2.4. Let K be a nonempty, closed and convex subset of a uniformly

convex metric spaceXwith continuous convex structureW.LetTbe anα−nonexpansive self-mapping onK andS be a self-mapping on K satisfying condition(C) such

that F6=φ. Then for the sequence{xn} in (1.3), we have

lim

n→∞d(xn, Sxn) = 0 = limn→∞d(xn, T xn).

Proof. It follows from Lemma 2.2 that limn→∞d(xn, p) exists forp ∈F. Set

limn→∞d(xn, p) =c.

Forc >0,limn→∞d(xn+1, p) =ccan be expressed as lim

n→∞d

W

T xn, W

Sxn, xn,

βn

1−αn

, αn

, p

=c. (2.2) AsT is anα−nonexpansiveand p∈F(T),therefore

lim sup

n→∞

d(T xn, p)≤ c. (2.3)

SinceS satisfies condition(C) andp∈F(S),we have

d

W

Sxn, xn,

βn

1−αn

, p

≤ βn

1−αn

d(Sxn, p)

+

1− βn 1−αn

d(xn, p)

≤ d(xn, p).

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That is, lim sup n→∞ d W

Sxn, xn,

βn

1−αn

, p

≤ c. (2.4)

In the light of (2.2)-(2.4), we use Lemma 1.5 for the valuesx=p, r=c, an =

αn, un=T xn, vn =W

Sxn, xn,1−βnαn

and get

lim

n→∞d

T xn, W

Sxn, xn,

βn

1−αn

= 0. (2.5)

With the help of (2.5) and the the inequality

d(xn+1, T xn) ≤ d

W

T xn, W

Sxn, xn,

βn

1−αn

, αn

, T xn

≤ (1−αn)d

W

Sxn, xn,

βn

1−αn

, T xn

≤ (1−b)d

W

Sxn, xn,

βn

1−αn

, T xn

,

we get that

lim

n→∞d(xn+1, T xn) = 0. (2.6)

By lim infn→∞ on both sides in the following inequality

d(xn+1, p) ≤ d(xn+1, T xn) +d

T xn, W

Sxn, xn,

βn

1−αn

+d

W

Sxn, xn,

βn

1−αn

, p

,

we have

c≤lim inf

n→∞ d

W

Sxn, xn,

βn

1−αn

, p

. (2.7)

The combined effect of (2.4) and (2.7) provides that

lim

n→∞d

W

Sxn, xn,

αn

1−βn

, p

=c. (2.8)

Again by Lemma 1.5 for values x=p, r =c, an = 1−αnβn, un =Sxn, vn =xn, we get

lim

n→∞d(xn, Sxn) = 0. (2.9)

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Now with the help of (2.5), (2.6), (2.9) and the inequality

d(xn+1, xn) ≤ d(xn+1, T xn) +d

T xn, W

Sxn, xn,

αn

1−βn

+d

W

Sxn, xn,

αn

1−βn

, xn

≤ d(xn+1, T xn) +d

T xn, W

Sxn, xn,

αn

1−βn

+

1− αn 1−βn

d(xn, Sxn)

≤ d(xn+1, T xn) +d

T xn, W

Sxn, xn,

αn

1−βn

+ 12

a

1−b

d(xn, Sxn),

we get that

lim

n→∞d(xn+1, xn) = 0. (2.10)

Taking lim supn→∞ on both sides in the following inequality d(xn, T xn)≤d(xn, xn+1) +d(xn+1, T xn)

and using (2.6) and (2.10), we get lim

n→∞d(xn, T xn) = 0.

Therefore

lim

n→∞d(xn, Sxn) = 0 = limn→∞d(xn, T xn).

Here is our△−convergence theorem.

Theorem 2.5. Let K be a nonempty, closed and convex subset of a complete

and uniformly convex metric spaceX with continuous convex structureW.Let T be anα−nonexpansive self-mapping onK, S a self-mapping onK satisfying condition(C) and{xn} given in (1.3). If F 6=φ, then△ −limnxn =x∈F.

Proof. Lemma 2.2 provides that {xn} is bounded and therefore Lemma 1.4

appeals that {xn} has a unique asymptotic centre, that is, A({xn}) = {x}.

For any subsequence{un} of{xn},Lemma 1.4 gives thatA({un}) ={u} and

Lemma 2.4 provides that lim

n→∞d(un, T un) = 0 = limn→∞d(un, Sun).

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Then by Lemma 2.3, we conclude thatu∈F. We claim thatx=u.If not, then by the uniqueness of asymptotic centres, we have

lim sup

n→∞

d(un, u) < lim sup n→∞

d(un, x)

≤ lim sup

n→∞

d(xn, x)

< lim sup

n→∞

d(xn, u)

= lim sup

n→∞

d(un, u),

a contradiction.

Therefore,A({un:{un}is any subsequence of{xn}}) ={x}.This proves that

△ −limnxn =x∈F.

A self-mapping T : K → K is semi-compact if for any bounded sequence {xn} in K with d(xn, T xn) → 0, we must have that {xn} has a convergent

subsequence inK.

Two self-mappingsS andT onK with a nonempty subsetF ofKare said to satisfy condition (AV) if there exists a nondecreasing functionf on [0,∞) withf(0) = 0 andf(t)>0 for allt∈(0,∞) such that

1

2[d(x, T x) +d(x, Sx)]≥f(d(x, F)) for allx∈K.

Using Lemma 2.2 and Lemma 2.4, we obtain the following strong conver-gence theorems.

Theorem 2.6. Let K be a nonempty, closed and convex subset of a complete

and uniformly convex metric spaceX with continuous convex structureW.Let T be anα−nonexpansive self-mapping onK, Sa self-mapping on Ksatisfying condition(C) and {xn} given in (1.3). If F 6=φ and either S or T is

semi-compact, then the sequence{xn} converges strongly to an element ofF.

Proof. Suppose thatT is semi-compact. Since{xn}is bounded andd(xn, Sxn)→

0, there exists a subsequence{xnj}of{xn} such thatxnj →q∈K and lim

j→∞d(xnj, Sxnj) = 0 = limj→∞d(xnj, T xnj).

Usingx=xnj andy=q in Lemma 1.2 and Lemma 1.6, we get thatq∈F. Thereforexn →q∈ F as limn→∞d(xn, p) exists for everyp∈ F (Lemma

2.2).

Theorem 2.7. Let K be a nonempty, closed and convex subset of a complete

and uniformly convex metric spaceX with continuous convex structureW.Let T be anα−nonexpansive self-mapping onK, Sa self-mapping on Ksatisfying condition(C) and{xn} given in (1.3). IfF 6=φandS andT satisfy condition

(AV), then the sequence {xn} converges strongly to an element ofF.

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Proof. By Lemma 2.1, F is closed. Using condition (AV) and Lemma 2.4, we have that limn→∞d(xn, F) = 0. Finally by Lemma 1.3, xn → pfor some

p∈F.

The followings are corollaries to our Theorems 2.5-2.7 and yet they are new in the literature.

Corollary 2.8. LetK be a nonempty, closed and convex subset of a complete

and uniformly convex metric spaceX with continuous convex structureW.Let T be a nonspreading(or hybrid) self-mapping on K, S a self-mapping on K satisfying condition(C) and{xn}given in (1.3). IfF 6=φ,then△ −limnxn =

x∈F.

Proof. Choose α= 1

2 in Theorem 2.5 for a nonspreading mapping (α= 1 3 in the case of a hybrid mapping) to get the required result.

Corollary 2.9. LetK be a nonempty, closed and convex subset of a complete

and uniformly convex metric spaceX with continuous convex structureW.Let T be a nonspreading(or hybrid) self-mapping onK, S a mapping on K satis-fying condition(C) and{xn} given in (1.3). If eitherS orT is semi-compact,

then the sequence {xn} converges strongly to an element ofF.

Proof. Setα= 1

2 in Theorem 2.6 for a nonspreading self-mapping (α= 1 3 in the case of a hybrid self-mapping) to get the required result.

Corollary 2.10. LetKbe a nonempty, closed and convex subset of a complete

and uniformly convex metric spaceX with continuous convex structureW.Let T be a nonspreading(or hybrid) self-mapping onK, S a mapping onK satisfy-ing condition(C) and{xn} given in (1.3). IfS andT satisfy condition (AV),

then the sequence {xn} converges strongly to an element ofF.

Proof. Takeα= 1

2 in Theorem 2.7 for a nonspreading self-mapping (α= 1 3 in the case of a hybrid self-mapping) to get the required result. Remark 2.11. Observe that

(i) Hyperbolic spaces,CAT(0) spaces, Banach spaces and Hilbert spaces are convex metric spaces, therefore our results also hold in Hyperbolic spaces,

CAT(0) spaces, Banach spaces and Hilbert spaces, simultaneously.

(ii) Every nonexpansive self-mapping is α−nonexpansive and satisfy condi-tion(C) also, therefore our theorems generalize the corresponding ones in [1, 7, 9, 10] etc.

(iii) Results of this paper are analogues of Theorem 3.1-Theorem 3.3 in [18]. (iv) A nonexpansive mapping is always continuous but an α−nonexpansive mapping and a mapping satisfying condition(C) may or may not be continu-ous. Therefore our results also hold for discontinuous mappings.

(v) The approximation of common fixed point of an α− nonexpansive self-mappingT onKand a self-mappingSonKsatisfying condition(C) via Ishikawa

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iterative scheme: x1∈K, xn+1=W(T(W(Sxn, xn, βn)), xn, αn) requires the

extensive use of identity (1.2) (see [18]) while our scheme(1.3) does not. There-fore our scheme is better than Ishikawa iterative scheme. Also our scheme is computationally simpler than Ishikawa iterative scheme.

Remark 2.12. The essentials of hypotheses in our theorems are natural in view of the following observations: Take X = R, K = [0,3], T, S : K → K as in Example 1.1.Then F(S)∩F(T) = {0}.If αn = n3+1n and βn = n4+1n , then

0< αn, βn<1.

Open Problem: Can we approximate common fixed point of anα−nonexpansive

mapping and a mapping satisfying condition(C) via scheme(1.1) under the hy-pothesis of Theorem 2.5?

Acknowledgement

The author would like to acknowledge the support provided by the Deanship of Scientific Research(DSR) at King Fahd University of Petroleum & Minerals (KFUPM) for funding this work through project No. IN151014.

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References

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