R E S E A R C H
Open Access
Data dependence results of new multi-step
and S-iterative schemes for contractive-like
operators
Faik Gürsoy
1, Vatan Karakaya
2*and Billy E Rhoades
3*Correspondence:
[email protected]; [email protected]
2Department of Mathematical
Engineering, Faculty of Chemical and Metallurgical Engineering, Yildiz Technical University, Davutpasa Campus, Esenler, Istanbul, 34210, Turkey
Full list of author information is available at the end of the article
Abstract
In this paper, we prove that the convergence of a new iteration and S-iteration can be used to approximate the fixed points of contractive-like operators. We also prove some data dependence results for these new iteration and S-iteration schemes for contractive-like operators. Our results extend and improve some known results in the literature.
MSC: Primary 47H10
Keywords: new multi-step iteration; S-iteration; data dependence; contractive-like operator
1 Introduction
Contractive mappings and iteration procedures are some of the main tools in the study of fixed point theory. There are many contractive mappings and iteration schemes that have been introduced and developed by several authors to serve various purposes in the literature of this highly active research area,viz., [–] among others.
Whether an iteration method used in any investigation converges to a fixed point of a contractive type mapping corresponding to a particular iteration process is of utmost im-portance. Therefore it is natural to see many works related to the convergence of iteration methods such as [–].
Fixed point theory is concerned with investigating a wide variety of issues such as the existence (and uniqueness) of fixed points, the construction of fixed points,etc.One of these themes is data dependency of fixed points. Data dependency of fixed points has been the subject of research in fixed point theory for some time now, and data dependence research is an important theme in its own right.
Several authors who have made contributions to the study of data dependence of fixed points are Rus and Muresan [], Ruset al.[, ], Berinde [], Espínola and Petruşel [], Markin [], Chifu and Petruşel [], Olantiwo [, ], Şoltuz [, ], Şoltuz and Grosan [], Chugh and Kumar [] and the references therein.
points of contractive-like operators. Motivated by the works of Şoltuz [, ], Şoltuz and Grosan [], and Chugh and Kumar [], we prove two data dependence results for the new multi-step iteration and S-iteration schemes by employing contractive-like operators. As a background of our exposition, we now mention some contractive mappings and iteration schemes.
In [] Zamfirescu established an important generalization of the Banach fixed point theorem using the following contractive condition. For a mappingT:E→E, there exist real numbersa,b,csatisfying <a< , <b,c< / such that, for each pairx,y∈X, at least one of the following is true:
⎧ ⎪ ⎪ ⎨ ⎪ ⎪ ⎩
(z) Tx–Ty ≤ax–y,
(z) Tx–Ty ≤b(x–Tx+y–Ty),
(z) Tx–Ty ≤c(x–Ty+y–Tx).
(.)
A mappingT satisfying the contractive conditions (z), (z) and (z) in (.) is called a
Zamfirescu operator. An operator satisfying condition (z) is called aKannan operator,
while the mapping satisfying condition (z) is called aChatterjea operator. As shown in
[], the contractive condition (.) leads to ⎧
⎨ ⎩
(b) Tx–Ty ≤δx–y+ δx–Txif one uses (z), and
(b) Tx–Ty ≤δx–y+ δx–Tyif one uses (z),
(.)
for allx,y∈E, whereδ:=max{a, b
–b, c
–c},δ∈[, ), and it was shown that this class of op-erators is wider than the class of Zamfirescu opop-erators. Any mapping satisfying condition (b) or (b) is called a quasi-contractive operator.
Extending the above definition, Osilike and Udomene [] considered operatorsT for which there exist real numbersL≥ andδ∈[, ) such that for allx,y∈E,
Tx–Ty ≤δx–y+Lx–Tx. (.)
Imoru and Olantiwo [] gave a more general definition: An operator T is called a contractive-like operator if there exists a constantδ∈[, ) and a strictly increasing and continuous functionϕ: [,∞)→[,∞), withϕ() = , such that for eachx,y∈E,
Tx–Ty ≤δx–y+ϕx–Tx. (.)
A map satisfying (.) need not have a fixed point, even ifEis complete. For example, let
E= [,∞) and defineTby
Tx= ⎧ ⎨ ⎩
., ≤x≤., ., . <x.
If ≤x≤. <y, thenTx–Ty= ..
Defineϕbyϕ(t) =Ltfor anyL≥. Thenϕis increasing, continuous, andϕ() = . Also,
x–Tx= –xso thatϕ(x–Tx) =L( –x)≥.L≥.. Therefore
. =Tx–Ty ≤Lx–Tx ≤δx–y+Lx–Tx
for any ≤δ< , and (.) is satisfied for ≤x≤. <y. ButThas no fixed point. However, using (.) it is obvious that ifThas a fixed point, then it is unique.
From now on, we demand thatNdenotes the set of all nonnegative integers. LetXbe a Banach space, letE⊂Xbe a nonempty closed, convex subset ofX, and letT be a self-map on E. DefineFT:={p∈X:p=Tp}to be the set of fixed points ofT. Let{αn}∞n=, {βn}∞n=,{γn}∞n=and{βni}∞n=,i= ,k– ,k≥ be real sequences in [, ) satisfying certain
conditions.
In [] Rhoades and Şoltuz introduced a multi-step iterative procedure given by
⎧ ⎪ ⎪ ⎪ ⎪ ⎪ ⎨ ⎪ ⎪ ⎪ ⎪ ⎪ ⎩
x∈E,
yk–
n = ( –βnk–)xn+βnk–Txn, k≥,
yi
n= ( –βni)xn+βniTyin+, i= ,k– ,
xn+= ( –αn)xn+αnTyn, n∈N.
(.)
The sequence{xn}∞n=defined by
⎧ ⎪ ⎪ ⎨ ⎪ ⎪ ⎩
x∈E,
xn+= ( –αn)Txn+αnTyn,
yn= ( –βn)xn+βnTxn, n∈N,
(.)
is known as the S-iteration process (see [, , ]). Thianwan [] defined a two-step iteration{xn}∞n=by
⎧ ⎪ ⎪ ⎨ ⎪ ⎪ ⎩
x∈E,
xn+= ( –αn)yn+αnTyn,
yn= ( –βn)xn+βnTxn, n∈N.
(.)
Recently Phuengrattana and Suantai [] introduced an SP iteration method defined by
⎧ ⎪ ⎪ ⎪ ⎪ ⎪ ⎨ ⎪ ⎪ ⎪ ⎪ ⎪ ⎩
x∈E,
xn+= ( –αn)yn+αnTyn,
yn= ( –βn)zn+βnTzn,
zn= ( –γn)xn+γnTxn, n∈N.
We shall employ the following iterative process. For an arbitrary fixed orderk≥, ⎧
⎪ ⎪ ⎪ ⎪ ⎪ ⎪ ⎪ ⎪ ⎪ ⎪ ⎪ ⎪ ⎪ ⎪ ⎨ ⎪ ⎪ ⎪ ⎪ ⎪ ⎪ ⎪ ⎪ ⎪ ⎪ ⎪ ⎪ ⎪ ⎪ ⎩
x∈E,
xn+= ( –αn)yn+αnTyn,
y
n= ( –βn)yn+βnTyn,
y
n= ( –βn)yn+βnTyn,
· · ·,
yk–
n = ( –βnk–)ynk–+βnk–Tykn–,
yk–
n = ( –βnk–)xn+βnk–Txn, n∈N,
(.)
or, in short, ⎧ ⎪ ⎪ ⎪ ⎪ ⎪ ⎨ ⎪ ⎪ ⎪ ⎪ ⎪ ⎩
x∈E,
xn+= ( –αn)yn+αnTyn,
yi
n= ( –βni)yin++βniTyin+, i= ,k– ,
ykn–= ( –βnk–)xn+βnk–Txn, n∈N,
(.)
where
{αn}∞n=⊂[, ), ∞
n=
αn=∞, (.)
and
βni∞n=⊂[, ), i= ,k– . (.)
Remark If eachγn= , then SP iteration (.) reduces to two-step iteration (.). By takingk= andk= in (.), we obtain iterations (.) and (.), respectively.
We shall need the following definition and lemma in the sequel.
Definition [] LetT,T :X→Xbe two operators. We say thatT is an approximate
operator forTif, for someε> , we have
Tx–Tx ≤ε
for allx∈X.
Lemma [] Let{an}∞n= be a nonnegative sequence for which one assumes that there
exists an n∈Nsuch that for all n≥n,
an+≤( –μn)an+μnηn
is satisfied,whereμn∈(, )for all n∈N, ∞
n=μn=∞andηn≥,∀n∈N.Then the
following holds: ≤ lim
2 Main results
For simplicity we use the following notation throughout this section.
For any iterative process,{xn}∞n=and{un}∞n=denote iterative sequences associated toT
andT, respectively.
Theorem Let T:E→E be a map satisfying(.)with FT=∅,and let{xn}∞n=be a
se-quence defined by(.),then the sequence{xn}∞n=converges to the unique fixed point of T.
Proof The proof can be easily obtained by using the argument in the proof of ([],
The-orem .).
This result allows us to give the next theorem.
Theorem Let T :E→E be a map satisfying(.) with FT=∅, and letT be an
ap-proximate operator of T as in Definition.Let{xn}∞n=,{un}∞n=be two iterative sequences
defined by(.)with real sequences{αn}∞n=,{βni}∞n=⊂[, )satisfying(i) ≤βni <αn≤,
i= ,k– , (ii)αn=∞.If p=Tp and q=Tq,then we have
p–q ≤ kε
–δ.
Proof For givenx∈Eandu∈E, we consider the following multi-step iteration forT
andT: ⎧ ⎪ ⎪ ⎪ ⎪ ⎪ ⎨ ⎪ ⎪ ⎪ ⎪ ⎪ ⎩
x∈E,
xn+= ( –αn)yn+αnTyn,
yi
n= ( –βni)yin++βniTyin+, i= ,k– ,
yk–
n = ( –βnk–)xn+βnk–Txn, k≥,n∈N,
(.)
and ⎧ ⎪ ⎪ ⎪ ⎪ ⎪ ⎨ ⎪ ⎪ ⎪ ⎪ ⎪ ⎩
u∈E,
un+= ( –αn)vn+αnTvn,
vi
n= ( –βni)vin++βniTvin+, i= ,k– ,
vk–
n = ( –βnk–)un+βnk–Tun, k≥,n∈N.
(.)
Thus, from (.), (.) and (.), we have the following inequalities.
xn+–un+=( –αn)
yn–vn+αn
Tyn–Tvn
≤( –αn)yn–vn+αnTyn–Tvn
= ( –αn)yn–vn+αnTyn–Tvn+Tvn–Tvn
≤( –αn)yn–vn+αnTyn–Tvn+αnTvn–Tvn
≤( –αn)yn–vn+αnδyn–vn+αnϕyn–Tyn+αnε
yn–vn= –βnyn–vn+βnTyn–Tvn
≤ –βnyn–vn+βnTyn–Tvn
≤ –βnyn–vn+βnTyn–Tvn+βnTvn–Tvn
≤ –βnyn–vn+βnδyn–vn+βnϕyn–Tyn+βnε
= –βn( –δ)yn–vn+βnϕyn–Tyn+βnε, (.) y
n–vn= –βn
yn–vn+βnTyn–Tvn
≤ –βnyn–vn+βnTyn–Tvn
≤ –βnyn–vn+βnTyn–Tvn+βnTvn–Tvn
≤ –βnyn–vn+βnδyn–vn+βnϕyn–Tyn+βnε
= –βn( –δ)yn–vn+βnϕyn–Tyn+βnε. (.)
Combining (.), (.) and (.), we obtain
xn+–un+ ≤
–αn( –δ)
–βn( –δ) –βn( –δ)yn–vn
+ –αn( –δ) –βn( –δ)βnϕyn–Tyn
+ –αn( –δ) –βn( –δ)βnε
+ –αn( –δ)βnϕyn–Tyn
+ –αn( –δ)
βnε+αnϕyn–Tyn+αnε. (.)
Thus, by induction, we get
xn+–un+ ≤
–αn( –δ)
–βn( –δ)· · · –βnk–( –δ)ykn––vkn–
+ –αn( –δ)
–βn( –δ)· · · –βnk–( –δ)βnk–ϕynk––Tykn–
+· · ·+ –αn( –δ)βnϕyn–Tyn+αnϕyn–Tyn + –αn( –δ) –βn( –δ)· · · –βnk–( –δ)βnk–ε
+· · ·+ –αn( –δ)βnε+αnε. (.)
Again, using (.), (.) and (.), we get
ykn––vnk–= –βnk–(xn–un) +βnk–(Txn–Tun)
≤ –βnk–xn–un+βnk–Txn–Tun
≤ –βnk–xn–un+βnk–Txn–Tun+βnk–Tun–Tun
≤ –βnk–( –δ)xn–un+βnk–ϕ
xn–Txn
Substituting (.) in (.), we have
xn+–un+ ≤
–αn( –δ)
–βn( –δ)· · · –βnk–( –δ)xn–un + –αn( –δ)
–βn( –δ)· · · –βnk–( –δ)βnk–ϕxn–Txn
+ –αn( –δ)
–βn( –δ)· · · –βnk–( –δ)βnk–ϕynk––Tykn–
+· · ·+ –αn( –δ)
βnϕyn–Tyn+αnϕyn–Tyn + –αn( –δ)
–βn( –δ)· · · –βnk–( –δ)βnk–ε
+· · ·+ –αn( –δ)βnε+αnε. (.)
Sinceδ∈[, ) and{αn}∞n=,{βni}∞n=⊂[, ), fori= ,k– , we have
–αn( –δ)
–βn( –δ)· · · –βni( –δ)≤ –αn( –δ)
. (.)
From inequality (.) and assumption (i) in (.), it follows
xn+–un+ ≤
–αn( –δ)xn–un +αnϕ
xn–Txn
+αnϕykn––Tykn– +· · ·+αnϕyn–Tyn+αnϕyn–Tyn +αnε+αnε+· · ·+αnε+αnε
= –αn( –δ)xn–un +αn( –δ)
ϕ(xn–Txn) +ϕ(ykn––Tykn–) –δ
+· · ·+ϕ(y
n–Tyn) +kε –δ
. (.)
Define
an:=xn–un,
μn:=αn( –δ)∈(.),
ηn:=
ϕ(xn–Txn) +ϕ(ykn––Tykn–) –δ +· · ·+
ϕ(y
n–Tyn) +kε –δ
.
From Theorem it follows thatlimn→∞xn–p= . SinceT satisfies condition (.) and
Tp=p∈FT,
≤ xn–Txn
≤ xn–p+δp–xn+ϕ
p–Tp
= ( +δ)xn–p → asn→ ∞. (.)
Sinceβni∈[, ),∀n∈N,i= ,k– , using (.) and (.), we have
≤yn–Tyn=yn–p+p–Tyn
≤yn–p+Tp–Tyn
≤yn–p+δp–yn+ϕp–Tp
= ( +δ)yn–p
= ( +δ) –βnyn+βnTyn–p –βn+βn ≤( +δ) –βnyn–p+βnTyn–Tp
≤( +δ) –βnyn–p+βnδyn–p
= ( +δ) –βn( –δ)yn–p
≤ · · ·
≤( +δ) –βn( –δ)· · · –βnk–( –δ)ykn––p
≤( +δ) –βn( –δ)· · · –βnk–( –δ)xn–p
≤( +δ)xn–p → asn→ ∞. (.)
It is easy to see from (.) that this result is also valid forTy
n–yn, . . . ,Tynk––ykn–. Sinceϕis continuous, we have
lim
n→∞ϕ
xn–Txn
= lim
n→∞ϕy
n–Tyn=· · ·=nlim→∞ϕykn––Tykn–= . (.) Hence an application of Lemma to (.) leads to
p–q ≤ kε
–δ. (.)
As shown by Hussainet al.([], Theorem ), in an arbitrary Banach spaceX, the S-iteration{xn}∞n= given by (.) converges to the fixed point ofT, whereT :E→E is a
mapping satisfying condition (.).
Theorem Let T:E→E be a map satisfying(.)with FT =∅,and let{xn}∞n=be
de-fined by(.)with real sequences{βn}∞n=,{αn}∞n=⊂[, )satisfying
∞
n=αn=∞.Then the
sequence{xn}∞n=converges to the unique fixed point of T.
Proof The argument is similar to the proof of Theorem of [], and is thus omitted.
Theorem Let T,T be two operators as in Theorem.Let{xn}∞n=,{un}∞n=be S-iterations
defined by(.)with real sequences{βn}∞n=,{αn}n∞=⊂[, )satisfying(i) ≤αn,∀n∈N,
and(ii)∞n=αn=∞.If p=Tp and q=Tq,then we have
p–q ≤ ε
–δ.
Proof For a givenx∈Eandu∈E, we consider the following iteration forT andT:
⎧ ⎪ ⎪ ⎨ ⎪ ⎪ ⎩
x∈E,
xn+= ( –αn)Txn+αnTyn,
yn= ( –βn)xn+βnTxn, n∈N
(.)
and ⎧ ⎪ ⎪ ⎨ ⎪ ⎪ ⎩
u∈E,
un+= ( –αn)Tun+αnTvn,
vn= ( –βn)un+βnTun, n∈N.
(.)
Using (.), (.) and (.), we obtain the following estimates:
xn+–un+=( –αn)(Txn–Tun) +αn(Tyn–Tvn)
≤( –αn)Txn–Tun+αnTyn–Tvn
= ( –αn)Txn–Tun+Tun–Tun+αnTyn–Tvn+Tvn–Tvn
≤( –αn) Txn–Tun+Tun–Tun
+αn Tyn–Tvn+Tvn–Tvn
≤( –αn) δxn–un+ϕ
xn–Txn
+ε
+αn δyn–vn+ϕ
yn–Tyn
+ε, (.)
yn–vn=( –βn)(xn–un) +βn(Txn–Tun)
≤( –βn)xn–un+βnTxn–Tun
= ( –βn)xn–un+βnTxn–Tun+Tun–Tun
≤( –βn)xn–un+βn Txn–Tun+Tun–Tun
≤( –βn)xn–un+βn δxn–un+ϕ
xn–Txn
+ε
= –βn( –δ)xn–un+βnϕ
xn–Txn
+βnε. (.)
Combining (.) and (.), we get
xn+–un+ ≤ ( –αn)δ+αnδ
–βn( –δ)
xn–un +{ –αn+αnδβn}ϕ
xn–Txn
+αnϕ
yn–Tyn
For{αn}∞n=,{βn}∞n=⊂[, ) andδ∈[, ),
( –αn)δ< –αn, –βn( –δ) < , αnδβn<αn. (.)
It follows from assumption (i) that
–αn<αn, ∀n∈N. (.)
Therefore, combining (.) and (.) to (.) gives
xn+–un+ ≤
–αn( –δ)xn–un + αnϕ
xn–Txn
+αnϕ
yn–Tyn
+αnε+αnε+αnε, (.)
or, equivalently,
xn+–un+ ≤
–αn( –δ)xn–un
+αn( –δ){ϕ(xn–Txn) +ϕ(yn–Tyn) + ε}
–δ . (.)
Now define
an:=xn–un,
μn:=αn( –δ)∈(, ),
ηn:=
ϕ(xn–Txn) +ϕ(yn–Tyn) + ε
–δ .
From Theorem , we havelimn→∞xn–p= . SinceTsatisfies condition (.), andTp=
p∈FT, using an argument similar to that in the proof of Theorem ,
lim
n→∞xn–Txn=nlim→∞yn–Tyn= . (.)
Using the fact thatϕis continuous, we have
lim
n→∞ϕ
xn–Txn
= lim
n→∞ϕ
yn–Tyn
= . (.)
An application of Lemma to (.) leads to
p–q ≤ ε
–δ. (.)
3 Conclusion
Since the iterative schemes (.) and (.) are special cases of the iterative process (.), Theorem generalizes Theorem . of [] and Theorem . of []. By takingk= and
Competing interests
The authors declare that they have no competing interests.
Authors’ contributions
All authors contributed equally and significantly in writing this article. All authors read and approved the final manuscript.
Author details
1Department of Mathematics, Faculty of Science and Letters, Yildiz Technical University, Davutpasa Campus, Esenler,
Istanbul, 34220, Turkey.2Department of Mathematical Engineering, Faculty of Chemical and Metallurgical Engineering,
Yildiz Technical University, Davutpasa Campus, Esenler, Istanbul, 34210, Turkey.3Department of Mathematics, Indiana
University, Bloomington, IN 47405-7106, USA.
Acknowledgements
The first two authors would like to thank Yıldız Technical University Scientific Research Projects Coordination Unit under project number BAPK 2012-07-03-DOP02 for financial support during the preparation of this manuscript.
Received: 5 December 2012 Accepted: 10 March 2013 Published: 28 March 2013 References
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