R E S E A R C H
Open Access
Multidimensional common fixed point
theorems under probabilistic
ϕ
-contractive
conditions in multidimensional Menger
probabilistic metric spaces
Chuanxi Zhu, Zhe Wei
*, Zhaoqi Wu and Wenqing Xu
*Correspondence:
[email protected] Department of Mathematics, Nanchang University, Nanchang, 330031, P.R. China
Abstract
In this paper, we introduce the new concepts of multidimensional Menger probabilistic metric spaces and related fixed point for a pair of mappingsT:
X×X× · · · ×X
n
→XandA:X→X. Utilizing the properties of the related triangular
norm and the compatibility ofAwithT, some multidimensional common fixed point problems of hybrid probabilistic contractions with a gauge function
ϕ
are studied. The obtained results generalize some coupled and triple common fixed point theorems in the corresponding literature. Finally, an example is given to illustrate our main results.Keywords: multidimensional Menger probabilistic metric space; fixed point; hybrid probabilistic contractions; compatible
1 Introduction
Coupled fixed points were studied first by Bhaskar and Lakshmikantham []. Since then, some new results on the existence and uniqueness of coupled fixed points have been pre-sented in partially ordered metric spaces, cone metric spaces, and fuzzy metric spaces [–]. The concept of a probabilistic metric space was initiated and studied by Menger, which is a generalization of the metric space []. Many results for the existence of fixed points or solutions of nonlinear equations under various types of conditions in Menger probabilistic spaces (briefly,PM-spaces) have been extensively considered by many schol-ars [–]. In , Jachymski established a fixed point theorem forϕ-contractions and gave a characterization of a functionϕhaving the property that there exists a probabilistic
ϕ-contraction, which is not a probabilistick-contraction (k∈[, )) []. In , Xiaoet al.obtained some common coupled fixed point results for hybrid probabilistic contrac-tions with a gauge functionϕin Menger probabilistic metric spaces without assuming any continuity or monotonicity conditions forϕ[]. In , Luoet al.introduced the con-cept of generalized Menger probabilistic metric spaces and obtained some tripled com-mon fixed point results with a gauge functionϕwith the same properties in generalized Menger probabilistic metric spaces [].
The purpose of this paper is to introduce the new concepts of multidimensional Menger probabilistic metric spaces and a related fixed point for a pair of mappings T:
X×X× · · · ×X
n
→X andA:X→X. Utilizing the properties of the related triangular norm and the compatibility of Awith T, some multidimensional common fixed point problems of hybrid probabilistic contractions with a gauge functionϕ are studied. The obtained results generalize some coupled and triple common fixed point theorems in the corresponding literature. Finally, an example is given to illustrate our main results.
2 Preliminaries
Denote bynany given positive integer which is not smaller than ,nthe set{, , . . . ,n},
Xnthe productX×X× · · · ×X
n
,Rthe set of the real numbers,R+ the set of the non-negative real numbers, andZ+the set of all positive integers. A mappingF:R→R+is called a distribution function if it is nondecreasing left-continuous withsupt∈RF(t) = andinft∈RF(t) = .
We will denote byDthe set of all distribution functions, byD+={F∈D:F(t) = ,∀t≤ }, whileHwill always denote the specific distribution function defined by
H(t) =
, t≤, , t> .
Ifϕ:R+→R+is a function such thatϕ() = , thenϕis called a gauge function. Ift∈R+, thenϕn(t) denotes thenth iteration ofϕ(t) andϕ–({}) ={t∈R+:ϕ(t) = }.
First, we givePM-spaces introduced by Menger with the related triangular norm. Definition .[] A mapping: [, ]×[, ]→[, ] is called a triangular norm (for short, at-norm) if the following conditions are satisfied for anya,b,c,d∈[, ]:
() (a, ) =a; () (a,b) =(b,a);
() (a,c)≥(b,d)fora≥b,c≥d; () (a,(b,c)) =((a,b),c).
Definition .[] A triplet (X,F,) is called a Menger probabilistic metric space (for short, aMenger PM-space) ifXis a nonempty set,is at-norm, andFis a mapping from
X×XintoD+satisfying the following conditions (we denoteF(x,y) byFx,y):
(MS-) Fx,y(t) =H(t)for allt∈Rif and only ifx=y; (MS-) Fx,y(t) =Fy,x(t)for allt∈R;
(MS-) Fx,y(t+s)≥(Fx,z(t),Fz,y(s))for allx,y,z∈Xandt,s≥.
Then we give the generalized Menger PM-spaces introduced by Luoet al.with the re-lated triangular norm.
Definition .[] A mapping: [, ]×[, ]×[, ]→[, ] is called a triangular norm (for short, at-norm) if the following conditions are satisfied for anya,b,c,d,e,f ∈[, ]:
() (a, , ) =a,(, , ) = ; () (a,b,c) =(a,c,b) =(c,b,a);
() (a,b,c)≥(d,e,f)fora≥d,b≥e,c≥f;
Definition .[] A triplet (X,F,) is called a generalized Menger probabilistic metric space (for short, a generalized MengerPM-space) ifXis a nonempty set,is at-norm, andF is a mapping fromX×XintoD+satisfying the following conditions (we denote
F(x,y) byFx,y):
(GPM-) Fx,y(t) =H(t)for allt∈Rif and only ifx=y; (GPM-) Fx,y(t) =Fy,x(t)for allt∈R;
(GPM-) Fx,w(t+t+t)≥(Fx,y(t),Fy,z(t),Fz,w(t))for allx,y,z,w∈Xand
t,t,t≥.
Now, we introduce the definition of multidimensional Menger probabilistic metric spaces with the related triangular norm.
Definition . A mapping : [, ] ×[, ]× · · · ×[, ] n
→[, ] is called a triangular norm (for short, at-norm) if the following conditions are satisfied for anya,a, . . . ,an,
an+, . . . ,an∈[, ]:
() (a, , . . . , ) =a,(, , . . . , ) = ;
() (a,a, . . . ,an–,an–,an) =(a,an, . . . ,an–,an–) =(a,an,an–, . . . ,an–) =· · ·=
(a,an,an–,an–, . . . ,a) =(an,an–,an–, . . . ,a,a);
() (a,a, . . . ,an)≥(an+,an+, . . . ,an)fora≥an+,a≥an+, . . . ,an≥an;
() ((a,a, . . . ,an),an+, . . . ,an–) =(a,(a, . . . ,an+),an+· · ·,an–) =· · ·=
(a, . . . ,an–,(an,an+, . . . ,an–)).
Two typical examples oft-norm areM(a,a, . . . ,an) =min{a,a, . . . ,an}andP(a,a, . . . ,an) =aa· · ·anfor alla,a, . . . ,an∈[, ].
Definition . A triplet (X,F,) is called a multidimensional Menger probabilistic met-ric space (for short, a multidimensional MengerPM-space) ifXis a nonempty set,is a
t-norm andF is a mapping fromX×XintoD+satisfying the following conditions (we denoteF(x,y) byFx,y):
(MPM-) Fx,y(t) =H(t)for allt∈Rif and only ifx=y;
(MPM-) Fx,y(t) =Fy,x(t)for allt∈R;
(MPM-) Fx,xn+(t+t+· · ·+tn)≥(Fx,x(t),Fx,x(t), . . . ,Fxn,xn+(tn))for all x,x, . . . ,xn+∈Xandt,t, . . . ,tn≥.
Remark . If n= , the multidimensional MengerPM-space is a Menger PM-space. Whilen= , the multidimensional MengerPM-space is a generalized MengerPM-space. Remark . If=M, the multidimensional MengerPM-space is a MengerPM-space. In fact, letx=x,x=z, . . . ,xn=z,xn+=yin (MPM-), then for anyt,s,δ≥, (n– )δ≤s, we have
Fx,y(t+s)≥min(Fx,z(t),Fz,z(δ), . . . ,Fz,z(δ),Fz,y
s– (n– )δ .
Thus we have
Fx,y(t+s)≥min(Fx,z(t),Fz,y
Takingδ→, we obtain
Fx,y(t+s)≥min
(Fx,z(t),Fz,y(s)
.
Therefore, if=M, the multidimensional MengerPM-space is a MengerPM-space. Example . Suppose thatX= [–, ]. DefineF :X×X→D+by
Fx,y(t) =Fx,y(t) =
t
t+|x–y|, t> ,
, t≤,
for allx,y∈X. It is easy to verify that (X,F,M) satisfies (MPM-) and (MPM-). Now we prove it also satisfies (MPM-). Assume thatt,t, . . . ,tn≥ andx,x, . . . ,xn+∈X. Then we have
Fx,xn+(t+· · ·+tn) =
t+· · ·+tn
t+· · ·+tn+|x–xn+|
≥ t+· · ·+tn
t+· · ·+tn+|x–x|+· · ·+|xn–xn+|
≥min
t
t+|x–x|
, . . . , tn
tn+|xn–xn+|
=M
Fx,x(t), . . . ,Fxn,xn+(tn) .
Hence (X,F,M) a multidimensional MengerPM-space.
Proposition . Let(X,F,)be a multidimensional Menger PM-space andbe a con-tinuous t-norm.Then(X,F,)is a Hausdorff topological space in the(,λ)-topologyT,
i.e.,the family of sets
Ux(,λ) :> ,λ∈(, ],x∈X
is a base of neighborhoods of a point x forF,where
Ux(,λ) =y∈X:Fx,y() > –λ.
Proof It suffices to prove that:
(i) for anyx∈X, there exists anU=Ux(,λ)such thatx∈U;
(ii) for any givenUx(,λ)andUx(,λ), there exist> andλ> , such that Ux(,λ)⊂Ux(,λ)∩Ux(,λ);
(iii) for anyy∈Ux(,λ), there exist > andλ > , such thatUy(,λ)⊂Ux(,λ); (iv) for anyx,y∈X,x=y, there existUx(,λ)andUy(,λ), such that
Ux(,λ)∩Uy(,λ) =∅.
It is easy to check that (i)-(iii) are true. Now we prove that (iv) is also true. In fact, suppose thatx,y∈Xandx=y. Then there existt> and <a< , such thatFx,y(t) =a. Let
Ux=
r:Fx,r
t
n
>b
, Uy=
r:Fy,r
t
n
>b
where <b< and(b, , . . . , n–
,b) >a(sinceis continuous and(, . . . , ) = , suchb
exists). Now suppose that there exists a pointv∈Ux∩Uy, which implies thatFx,v(tn) >b andFy,v(tn) >b. Then we have
a=Fx,y(t)≥
Fx,v
t
n
,Fv,v
t
n
, . . . ,Fv,v
t
n
n–
,Fv,y
t
n
≥(b, , . . . , n–
,b) >a,
which is a contradiction. Thus the conclusion (iv) is proved. This completes the proof.
Definition . Let (X,F,) be a multidimensional MengerPM-space,be a continu-oust-norm.
(i) A sequence{xm}inXis said to beT-convergent tox∈Xiflimm→∞Fxm,x= for
allt> ;
(ii) a sequence{xm}inXis said to be aT-Cauchy sequence, if for any given> and
λ∈(, ], there exists a positive integerN=N(,λ), such thatFxm,xk() > –λ,
wheneverm,k≥N;
(iii) (X,F,)is said to beT-complete, if eachT-Cauchy sequence inXis T-convergent to some point inX.
Definition . At-normis said to beH-type if the family of functions{m(t)}∞m=is equi-continuous att= , where
(t) =(t, . . . ,t), m+(t) =t , . . . ,t
n–
,m(t), m= , , . . . ,t∈[, ].
Definition . LetXbe a nonempty set,T:Xn→XandA:X→Xbe two mappings.
Ais said to be commutative withT, ifAT(x, . . . ,xn) =T(Ax, . . . ,Axn) for allx, . . .xn∈X. A pointu∈Xis called a multidimensional common fixed point ofT andA, ifu=Au=
T(u, . . . ,u).
Definition . LetXbe a nonempty set,T:Xn→XandA:X→Xbe two mappings. Let{x
m}, . . . ,{xnm}be n sequences inXandσ, . . . ,σnbenpermutations ofn.AandTare said to be compatible in (X,F,) if
lim
m→∞FAT(xσmi(),...,xσmi(n)),T(Axσmi(),...,Axσmi(n))(t) =
for alli= , . . . ,nandt> , whenever
lim
m→∞T
xσi()
m , . . . ,x σi(n)
m =mlim→∞Axim∈X for alli= , . . . ,n;
AandT are said to be compatible in (X,d) where (X,d) is a usual metric space if
lim
m→∞d
ATxσi()
m , . . . ,x σi(n)
m ,T
Axσi()
m , . . . ,Ax σi(n)
m
for alli= , . . . ,nandt> , whenever
lim
m→∞T
xσi()
m , . . . ,x σi(n)
m =mlim→∞Axim∈X for alli= , . . . ,n.
Obviously, ifTandAare commutative, then they are compatible, but the converse does not hold.
The following lemmas play an important role in proving our main results in Section . Lemma .[] Suppose that F∈D+.For every m∈Z+,let Fm:R→[, ]be
nondecreas-ing and gm: (, +∞)→(, +∞)satisfylimm→∞gm(t) = for any t> .If Fm(gm(t))≥F(t)
for any t> ,thenlimm→∞Fm(t) = for any t> .
Lemma . Let X be a nonempty set,and T:Xn→X and A:X→X be two mappings.
If T(Xn)⊂A(X),then there exist n sequences{x
m}∞m=, . . . ,{xnm}∞m=in X,such that Axm+=
T(x
m,xm, . . . ,xnm),Axm+ =T(xm,xm, . . . ,xnm,xm), . . . ,Axnm+=T(xnm,xm, . . . ,xn–m ).
Proof Let x,x, . . . ,xn be any given points in X. SinceT(Xn)⊂A(X), we can choose
x
,x, . . . ,xn ∈ X such that Ax = T(x,x, . . . ,xn),Ax = T(x,x, . . . ,xn,x), . . . ,Axn =
T(xn
,x, . . . ,xn– ). Continuing this process, we can constructn sequences {xm}∞m=, . . . ,
{xn
m}∞m=inX, such that
Axm+=Txm,xm, . . . ,xnm , Axm+ =Txm,xm, . . . ,xnm,xm , . . . ,
Axnm+=Txnm,xm, . . . ,xn–m . Lemma .[] Let(X,d)is a usual metric space.DefineF :X×X→D+by
Fx,y=H
t–d(x,y) , for x,y∈X and t> .
Then (X,F,M)is a Menger PM-space and is called the induced Menger PM-space by
(X,d).It is complete if(X,d)is complete.
Lemma .[] Letϕ(t) :R+→R+be a function.Let a,b,t∈R+.Then we have
H(t–a)≥Hϕ(t) –b if and only if ϕ(b)≤a.
3 Main results
In this section, we shall give the main results of this paper.
Theorem . Let(X,F,)be a complete multidimensional Menger PM-space witha continuous related t-norm of H-type,ϕ:R+→R+be a gauge function such thatϕ–({}) =
{},ϕ(t) <t,andlimm→+∞ϕm(t) = for any t> .Let T:Xn→X and A:X→X be two
mappings satisfying the following conditions:
FT(x,x,...,xn),T(y,y,...,yn)
ϕ(t) ≥FAx,Ay(t)FAx,Ay(t)· · ·FAxn,Ayn(t)
for all x,x, . . . ,xn,y,y, . . . ,yn∈X,and t> ,where T(Xn)⊂A(X),A is continuous and
compatible with T.Then T and A have a unique multidimensional common fixed point in X.
Proof By Lemma ., we can constructnsequences{xm}∞m=, . . . ,{xnm}∞m=inX, such that
Ax
m+=T(xm,xm, . . . ,xnm),Axm+=T(xm,xm, . . . ,xnm,xm), . . . ,Axnm+=T(xnm,xm, . . . ,xn–m ). From (.), for allt> , we have
FAx m,Axm+
ϕ(t) =FT(x
m–,xm–,...,xnm–),T(xm,xm,...,xnm)
ϕ(t)
≥FAx
m–,Axm(t)FAxm–,Axm(t)· · ·FAxnm–,Axnm(t)
n, FAx
m,Axm+
ϕ(t) =FT(x
m–,xm–,...,xm–),T(xm,xm,...,xm)
ϕ(t)
≥FAx
m–,Axm(t)FAxm–,Axm(t)· · ·FAxm–,Axm(t)
n,
.. .
FAxnm,Axnm+
ϕ(t) =FT(xn
m–,xm–,...,xnm––),T(xnm,xm,...,xnm–)
ϕ(t)
≥FAxnm–,Axmn(t)FAxm–,Axm(t)· · ·FAxmn––,Axnm–(t)
n.
(.)
DenotePm(t) = [FAx
m–,Axm(t)FAxm–,Axm(t)· · ·FAxnm–,Axnm(t)]
n. From (.), we have
Pm+
ϕ(t) =FAx m,Axm+
ϕ(t) FAx m,Axm+
ϕ(t) · · ·FAxn m,Axnm+
ϕ(t) n
≥Pm(t)Pm(t)· · ·Pm(t) n
n=P
m(t),
which implies that
FAx m,Axm+
ϕm(t) ≥Pm
ϕm–(t) ≥ · · ·P(t),
FAx m,Axm+
ϕm(t) ≥Pm
ϕm–(t) ≥ · · ·P(t), ..
.
FAx m,Axm+
ϕm(t) ≥Pm
ϕm–(t) ≥ · · ·P(t).
(.)
SinceP(t) = [FAx
,Ax(t)FAx,Ax(t)· · ·FAx n ,Axn(t)]
n ∈D+andlimm→∞ϕm(t) = for each t> , using Lemma ., we have
lim
m→∞FAxm,Axm+(t) = , FAxm,Axm+(t) = , . . . , FAx n
m,Axnm+(t) = . (.) Thus
lim
We claim that, for anyk∈Z+andt> ,
FAx
m,Axm+k(t)≥
k
Pm
t–ϕ(t)
n–
,
FAx
m,Axm+k(t)≥
k
Pm
t–ϕ(t)
n–
, ..
.
FAxn
m,Axnm+k(t)≥
k
Pm
t–ϕ(t)
n–
.
(.)
In fact, by (.) and ϕ(t) < t, we can conclude that (.) holds for k = since
FAx
m,Axm+(t)≥FAxm,Axm+(ϕ(t))≥Pm(t)≥Pm( t–ϕ(t)
n– )≥ (P
m(t–n–ϕ(t))). Assume that (.) holds for somek. Sinceϕ(t) <t, by the first inequality of (.), we haveFAx
m,Axm+(t)≥ FAx
m,Axm+(ϕ(t))≥Pm(t). By (.) and (.), we have FAx
m+,Axm+k+
ϕ(t) ≥FAx
m,Axm+k(t)FAxm,Axm+k(t)· · ·FAx n
m,Axnm+k(t)
n
≥k
Pm
t–ϕ(t)
n–
.
Hence, by the monotonicity of, we have
FAx
m,Axm+k+(t) =FAxm,Axm+k+
t–ϕ(t) +ϕ(t)
≥
FAx m,Axm+
t–ϕ(t)
n–
, . . . ,FAx m,Axm+
t–ϕ(t)
n–
,
FAx
m+,Axm+k+
ϕ(t)
≥
Pm
t–ϕ(t)
n–
, . . . ,Pm
t–ϕ(t)
n–
,k
Pm
t–ϕ(t)
n–
=k+
Pm
t–ϕ(t)
n–
.
Similarly, we haveFAx
m,Axm+k+(t)≥ k+(P
m(t–n–ϕ(t))), . . . ,FAxnm,Axnm+k+(t)≥
k+(Pm(t–ϕ(t) n– )). Therefore, by induction, (.) holds for allk∈Z+andt> .
Suppose thatλ∈(, ] is given. Sinceis at-norm ofH-type, there existsδ> such that
k(s) > –λ, s∈( –δ, ],k∈Z+. (.)
By (.), there existsM∈Z+, such thatPm(t–ϕ(t)
n– ) > –δfor allm≥M. Hence, from (.) and (.), we getFAx
m,Axm+k(t) > –λ,FAxm,Axm+k(t) > –λ, . . . ,FAx n
m,Axnm+k(t) > –λfor all m≥M,k∈Z+. Therefore{Ax
m},{Axm}, . . . ,{Axnm}arenCauchy sequences. Since (X,F,) is complete, there existu,u, . . . ,un∈X, such that
lim
m→∞Ax
By the continuity ofA, we have
lim
m→∞AAx
m=Au, mlim→∞AAxm=Au, . . . , mlim→∞AAxnm=Aun. The compatibility ofAwithTimplies that
lim
m→∞FAT(xm,xm,...,xnm),T(Axm,Axm,...,Axnm)(t) = , . . . ,
lim
m→∞FAT(xnm,xm,...,xnm–),T(Axnm,Axm,...,Axnm–)(t) = ,
whereσ= (, , . . . ,n),σ= (, , . . . , ), . . . ,σn= (n, , . . . ,n– ). From (.) andϕ(t) <t, we obtain
FAAx
m+,T(u,u,...,un)(t) =FAAxm+,T(u,u,...,un)
t–ϕ(t) +ϕ(t)
≥
FAAx
m+,T(Axm,Axm,...,Axnm)
t–ϕ(t)
n–
,
FT(Ax
m,Axm,...,Axnm),T(Axm,Axm,...,Axnm)
t–ϕ(t)
n–
, . . . ,
FT(Ax
m,Axm,...,Axnm),T(Axm,Axm,...,Axnm)
t–ϕ(t)
n–
,
FT(Ax
m,Axm,...,Axnm),T(u,u,...,un)
ϕ(t)
=
FAAx
m+,T(Axm,Axm,...,Axnm)
t–ϕ(t)
n–
, , . . . , ,
FT(Ax
m,Axm,...,Axnm),T(u,u,...,un)
ϕ(t) . (.)
From (.), we have
FT(Ax
m,Axm,...,Axnm),T(u,u,...,un)
ϕ(t) ≥FAAx
m,Au(t)FAAxm,Au(t)· · ·FAAxnm,Aun(t)
n. (.)
Combining (.) with (.) and letting m→ ∞, we obtain limm→∞AAxm =T(u,u, . . . ,un). Hence T(u,u, . . . ,un) =Au. Similarly, we can show that T(u,u, . . . ,u) =
Au,T(u,u, . . . ,u) =Au, . . . ,T(un,u, . . . ,un–) =Aun.
Next we show thatAu=u,Au=u, . . . ,Aun=un. In fact, from (.), for allt> , we have
FAu,Ax m
ϕ(t) =FT(u,u,...,un),T(x
m–,xm–,...,xnm–)
ϕ(t)
≥FAu,Ax
m–(t),FAu,Axm–(t), . . . ,FAun,Ax n m–(t)
n, FAu,Ax
m
ϕ(t) =FT(u,u,...,u),T(x
m–,xm–,...,xm–)
ϕ(t)
≥FAu,Ax
m–(t),FAu,Axm–(t), . . . ,FAu,Axm–(t)
n,
..
FAun,Axn m
ϕ(t) =FT(un,u,...,un–),T(xn
m–,xm–,...,xnm––)
ϕ(t)
≥FAun,Axn
m–(t),FAu,Axm–(t), . . . ,FAun–,Axnm––(t)
n.
DenoteQm(t) = [FAu,Ax
m(t),FAu,Axm(t), . . . ,FAun,Axnm(t)]
n. By (.), we haveQm(ϕ(t))≥ Qm–(t), and hence for allt>
Qm
ϕm(t) ≥Qm–
ϕm–(t) ≥ · · · ≥Q(t).
Thus, for allt> , we have
FAu,A m
ϕm(t) ≥Q(t), FAu,A m
ϕm(t) ≥Q(t), . . . ,
FAun,An m
ϕm(t) ≥Q(t).
SinceQ(t)∈D+andlimm→∞(ϕm(t)) = for allt> , by Lemma ., we conclude that
lim
m→∞Ax
m=Au, mlim→∞Axm=Au, . . . , mlim→∞Axnm=Aun. (.) This shows that Au =u,Au =u, . . . ,Aun=un. Hence u =T(u,u, . . . ,un),u =
T(u,u, . . . ,u), . . . ,un=T(un,u, . . . ,un–). Finally, we prove thatu=u=· · ·=un.
Fu,u
ϕ(t) =FT(u,u,...,un–,un),T(u,u,...,un,u)
ϕ(t)
≥FAu,Au(t),FAu,Au(t), . . . ,FAun–,Aun(t),FAun,Au(t)
n
=Fu,u(t),Fu,u(t), . . . ,Fun–,un(t),Fun,u(t)
n, Fu,u
ϕ(t) =FT(u,u,...,un,u),T(u,u,...,u,u)
ϕ(t)
≥FAu,Au(t),FAu,Au(), . . . ,FAun,Au(t),FAu,Au(t) n
=Fu,u(t),Fu,u(t), . . . ,Fun–,un(t),Fun,u(t) n,
.. .
Fun,u
ϕ(t) =FT(un,u,...,un–,un–),T(u,u,...,un–,un)
ϕ(t)
≥FAun,Au(t),FAu,Au(t), . . . ,FAun–,Aun–(t),FAun–,Aun(t) n
=Fu,u(t),Fu,u(t), . . . ,Fun–,un(t),Fun,u(t) n.
(.)
DenoteR(t) = [Fu,u(t),Fu,u(t), . . . ,Fun–,un(t),Fun,u(t)]
n. From (.), we have Rϕm(t) ≥Rϕm–(t) ≥ · · · ≥R(t).
SinceR(t)∈D+, by Lemma ., we getu=u=· · ·=un. Hence, there existsu∈X, such thatu=Au=T(u, . . . ,u).
Finally, we show the uniqueness of the multidimensional common fixed point of T
i.e.,v=Av=T(v, . . . ,v). By (.), for allt> , we have
Fu,v
ϕ(t) =FT(u,u,...,u),T(v,v,...,v)
ϕ(t)
≥FAu,Av(t)FAu,Av(t)· · ·FAu,Av(t) n
=FAu,Av(t) =Fu,v(t), (.)
which implies thatFu,v(ϕm(t))≥Fu,v(t) for allt> . Using Lemma ., we haveFu,v(t) = for allt> ,i.e.,u=v. This completes the proof.
Remark . Ifn= , Theorem . generalizes Theorem . in []. Whilen= , Theo-rem . generalizes TheoTheo-rem . in [].
From Theorem ., we can obtain the following corollaries.
Corollary . Let(X,F,)be a complete multidimensional Menger PM-space witha continuous related t-norm of H-type,ϕ:R+→R+be a gauge function such thatϕ–({}) =
{},ϕ(t) <t,andlimm→∞ϕm(t) = for any t> .Let T:Xn→X and A:X→X be two
mappings satisfying the following conditions:
FT(x,x,...,xn),T(y,y,...,yn)
ϕ(t) ≥FAx,Ay(t)FAx,Ay(t)· · ·FAxn,Ayn(t)
n (.)
for all x,x, . . . ,xn,y,y, . . . ,yn∈X,and t> ,where T(Xn)⊂A(X),A is continuous and
commutative with T.Then T and A have a unique multidimensional common fixed point in X.
Ifϕ:R+→R+be a gauge function such thatlimm→∞ ∞
m=ϕm(t) <∞for anyt> , we can obtainlimm→∞ϕm(t) = . Hence we have Corollary . as follows.
Corollary . Let(X,F,)be a complete multidimensional Menger PM-space witha continuous related t-norm of H-type,and≥P,ϕ:R+→R+be a gauge function such
thatϕ–({}) ={},ϕ(t) <t,andlimm→∞∞m=ϕm(t) <∞for any t> .Let T:Xn→X and
A:X→X be two mappings satisfying the following conditions:
FT(x,x,...,xn),T(y,y,...,yn)
ϕ(t) ≥FAx,Ay(t),FAx,Ay(t), . . . ,FAxn,Ayn(t)
n (.)
for all x,x, . . . ,xn,y,y, . . . ,yn∈X,and t> ,where T(Xn)⊂A(X),A is continuous and
commutative with T.Then T and A have a unique multidimensional common fixed point in X.
LetA=I(Iis the identity mapping) in Corollary ., we can obtain the following corol-lary.
thatϕ–({}) ={},ϕ(t) <t,andlim
m→∞∞m=ϕm(t) <∞for any t> .Let T:Xn→X be
a mapping satisfying the following conditions:
FT(x,x,...,xn),T(y,y,...,yn)
ϕ(t) ≥Fx,y(t),Fx,y(t), . . . ,Fxn,yn(t)
n (.)
for all x,x, . . . ,xn,y,y, . . . ,yn∈X,and t> .Then T has a unique multidimensional fixed
point in X.
Lettingϕ(t) =αt( <α< ) in Corollary ., we can obtain the following corollary. Corollary . Let(X,F,)be a complete multidimensional Menger PM-space witha continuous related t-norm of H-type,and≥P.Let T:Xn→X and A:X→X be two
mappings satisfying the following conditions:
FT(x,x,...,xn),T(y,y,...,yn)(αt)≥
FAx,Ay(t),FAx,Ay(t), . . . ,FAxn,Ayn(t)
n (.)
for all x,x, . . . ,xn,y,y, . . . ,yn∈X,and t> ,where T(Xn)⊂A(X),A is continuous and
commutative with T.Then T and A have a unique multidimensional common fixed point in X.
From the proof of Theorem ., we can similarly prove the following result.
Theorem . Let(X,F,)be a complete multidimensional Menger PM-space witha continuous related t-norm of H-type,ϕ:R+→R+be a gauge function such thatϕ–({}) =
{},ϕ(t) >t,andlimm→∞ϕm(t) = +∞for any t> .Let T:Xn→X and A:X→X be two
mappings satisfying the following conditions:
FT(x,x,...,xn),T(y,y,...,yn)(t)≥min
FAx,Ay
ϕ(t) ,FAx,Ay
ϕ(t) , . . . ,FAxn,Ayn
ϕ(t) (.)
for all x,x, . . . ,xn,y,y, . . . ,yn∈X,and t> ,where T(Xn)⊂A(X)and A is continuous
and compatible with T.Then T and A have a unique multidimensional common fixed point in X.
Remark . Ifn= , Theorem . generalizes Theorem . in []. Whilen= , Theo-rem . generalizes TheoTheo-rem . in [].
LettingA=I(Iis the identity mapping) in Theorem ., we can obtain the following corollary.
Corollary . Let(X,F,)be a complete multidimensional Menger PM-space witha continuous related t-norm of H-type,ϕ:R+→R+be a gauge function such thatϕ–({}) =
{},ϕ(t) >t,andlimm→∞ϕm(t) =∞for any t> .Let T:Xn→X be a mapping satisfying
the following conditions:
FT(x,x,...,xn),T(y,y,...,yn)(t)≥min
Fx,y
ϕ(t),Fx,y
ϕ(t), . . . ,Fxn,yn
ϕ(t) (.)
for all x,x, . . . ,xn,y,y, . . . ,yn∈X,and t> .Then T and A have a unique
Theorem . Let(X,d)be a complete metric space,ϕ:R+→R+be a gauge function such
thatϕ–({}) ={},ϕ(t) >t,andlimm→∞ϕm(t) = +∞for any t> .Let T:Xn→X and A:
X→X be two mappings satisfying the following conditions:
ϕdT(x,x, . . . ,xn),T(y,y, . . . ,yn)
≤maxd(Ax,Ay),d(Ax,Ay), . . . ,d(Axn,Ayn)
(.)
for all x,x, . . . ,xn,y,y, . . . ,yn∈X,and t> ,where T(Xn)⊂A(X),A is continuous and
compatible with T.Then T and A have a unique multidimensional common fixed point in X.
Proof Take =M andFx,y(t) =H(t–d(x,y)). Then by Lemma . and Remark ., (X,F,M) is a complete multidimensional MengerPM-space (or a MengerPM-space). From Lemma . and (.), we have
FT(x,x,...,xn),T(y,y,...,yn)(t) =H(t–d
T(x,x, . . . ,xn),T(y,y, . . . ,yn)
≥Hϕ(t) –maxd(Ax,Ay),d(Ax,Ay), . . . ,d(Axn,Ayn) =minHϕ(t) –d(Ax,Ay), . . . ,H
ϕ(t) –d(Axn,Ayn) =minFAx,Ay
ϕ(t) , . . . ,FAxn,Ayn
ϕ(t) . (.)
Hence the conclusion follows from Theorem ..
4 An application
In this section, we will provide an example to exemplify the validity of the main result of this paper.
Example . Suppose thatX∈[–, ]⊂R,=M. ThenMis at-norm ofH-type and
M≥P. DefineF:X×X→Dby
Fx,y(t) =Fx,y(t) = ⎧ ⎨ ⎩
e–|x–ty|, t> ,x,y∈X, , t≤,x,y∈X.
We claim that (X,F,M) is a multidimensional MengerPM-space. In fact, it is easy to verify (MPM-) and (MPM-). Assume that for anyt,t, . . . ,tn> , andx,x, . . . ,xn+∈X,
M
Fx,x(t),Fx,x(t), . . . ,Fxn,xn+(tn) =min
e– |x–x|
t ,e– |x–x|
t ,e– |xn–xn+|
tn =e– |x–x|
t .
Then we havet|x–x| ≤t|x–x|,t|x–x| ≤t|x–x|, . . . ,t|xn–xn+| ≤tn|x–x|, and so t+t+···+tn
t |x–x| ≥ |x–x|+|x–x|+· · ·+|xn–xn+| ≥ |x–xn+|. It follows that
Fx,xn+(t+t+· · ·+tn) =e
– |x–xn+| t+t+···+tn ≥e–|
x–x| t
=M
Hence (MPM-) holds. It is obvious that (X,F,M) is complete. Suppose thatϕ(t) =nt, then it is easy to verify thatϕ–({}) ={},ϕ(t) <t, andlim
m→∞∞m=ϕm(t) <∞for any
t> . Forx,x, . . . ,xn∈X, defineT:Xn→Xas follows:
T(x,x, . . . ,xn) =
n–
x
n–
x
n–· · ·–
x n–
n –
|xn|
n . Then, for eacht> andx,x, . . . ,xn,y,y, . . . ,yn∈X, we have
x–y +· · ·+xn– –yn– +n|xn|–|yn|
≤ |x–y|
|x|+|y| +· · ·+|xn––yn–|
|xn–|+|yn–| +n
|xn|–|yn|
≤nmax|x–y|, . . . ,|xn–yn|
,
and so
FT(x,x,...,xn–,xn),T(y,y,...,yn–,yn)
ϕ(t) =FT(x,x,...,xn–,xn),T(y,y,...,yn–,yn)
t n
=e–
|(x –y )+···+(xn––yn–)+n(|xn|–yn)| nt
≥mine–|x–nty|,e– |x–y|
nt , . . . ,e– |xn–yn|
nt
=M
Fx,y(t),Fx,y(t), . . . ,Fxn,yn(t) n.
Thus, all conditions of Corollary . are satisfied. Therefore,T has a unique fixed point inX.
Competing interests
The authors declare that they have no competing interests.
Authors’ contributions
All authors contributed equally. All authors read and approved the final manuscript.
Acknowledgements
The authors would like to thank the editor and the referees for their constructive comments and suggestions. The research was supported by the National Natural Science Foundation of China (11361042, 11326099, 11461045, 11071108) and the Provincial Natural Science Foundation of Jiangxi, China (20132BAB201001, 20142BAB211016, 2010GZS0147). Received: 5 May 2015 Accepted: 7 October 2015
References
1. Bhaskar, TG, Lakshmikantham, V: Fixed point theorems in partially ordered metric spaces and applications. Nonlinear Anal.65(7), 1379-1393 (2006)
2. Karapınar, E: Coupled fixed point theorems for nonlinear contractions in cone metric spaces. Comput. Math. Appl. 59(12), 3656-3668 (2010)
3. Choudhury, BS, Kundu, A: A coupled coincidence point result in partially ordered metric spaces for compatible mappings. Nonlinear Anal.73(8), 2524-2531 (2010)
4. Jain, M, Tas, K, Rhoades, BE, Gupta, N: Coupled fixed point theorems for generalized symmetric contractions in partially metric spaces and applications. J. Comput. Anal. Appl.16(3), 438-454 (2014)
5. Jiang, BH, Xu, SY, Shi, L: Coupled coincidence points for mixed monotone random operators in partially ordered metric spaces. Abstr. Appl. Anal.2014, Article ID 484857 (2014)
6. Menger, K: Statistical metrics. Proc. Natl. Acad. Sci. USA28(12), 535-537 (1942) 7. Schweizer, B, Sklar, A: Probabilistic Metric Spaces. North-Holland, Amsterdam (1983)
8. Zhang, SS: Fixed point theorems of mappings on probabilistic metric spaces with applications. Sci. Sin., Ser. A26, 1144-1155 (1983)
9. Fang, JX: Fixed point theorems for local contraction mappings on Menger spaces. Appl. Math. Mech.12(4), 363-372 (1991)
11. Fang, JX: Common fixed point theorems of compatible and weakly compatible maps in Menger spaces. Nonlinear Anal.71, 1833-1843 (2009)
12. Zhu, CX: Research on some problems for nonlinear operators. Nonlinear Anal.71(10), 4568-4571 (2009) 13. Sehgal, VM, Bharucha-Reid, AT: Fixed points of contraction mappings in PM-spaces. Math. Syst. Theory6, 97-102
(1972)
14. Xiao, JZ, Zhu, XH, Yan, J: Probabilistic fractals and attractors on Menger spaces. Nonlinear Anal.97, 106-118 (2014) 15. Imdad, M, Pant, BD, Chauhan, S: Fixed point theorems in Menger spaces using theCLRSTproperty and applications.
J. Nonlinear Anal. Optim.3(2), 225-237 (2012)
16. Ali, J, Imdad, M, Mihet, D, Tanveer, M: Common fixed points of strict contractions in Menger spaces. Acta Math. Hung. 132(4), 367-386 (2011)
17. Pant, BD, Chauhan, S, Sahper, H: Common fixed point theorems for weakly compatible mappings in Menger spaces via common limit range property. Mathematica55(78), 159-171 (2013)
18. Chauhan, S, Imdad, M, Vetro, C, Sintunavarat, W: Hybrid coincidence and common fixed point theorems in Menger probabilistic metric spaces under a strict contractive condition with an application. Appl. Math. Comput.239, 422-433 (2014)
19. Imdad, M, Chauhan, S, Kadelburg, Z, Vetro, C: Fixed point theorems for non-self mappings in symmetric spaces under φ-weak contractive conditions and an application to functional equations in dynamic programming. Appl. Math. Comput.227, 469-479 (2014)
20. Chauhan, S, Dalal, S, Sintunavarat, W, Vujakovi´c, J: Common property (E.A) and existence of fixed points in Menger spaces. J. Inequal. Appl.2014, Article ID 56 (2014)
21. Xu, WQ, Zhu, CX, Wu, ZQ, Zhu, L: Fixed point theorems for two new types of cyclic weakly contractive mappings in partially ordered Menger PM-spaces. J. Nonlinear Sci. Appl.8(4), 412-422 (2015)
22. Chauhan, S, Pant, BD: Fixed point theorems for compatible and subsequentially continuous mappings in Menger spaces. J. Nonlinear Sci. Appl.7(2), 78-89 (2014)
23. Jachymski, J: On probabilisticϕ-contractions on Menger spaces. Nonlinear Anal.73(7), 2199-2203 (2010) 24. Xiao, JZ, Zhu, XH, Cao, YF: Common coupled fixed point results for probabilisticϕ-contractions in Menger spaces.
Nonlinear Anal.74(13), 4589-4600 (2011)