PROBABILISTIC METRIC SPACES. PART II
DOREL MIHET¸
Received 7 June 2004 and in revised form 3 December 2004
A fixed point theorem concerning probabilistic contractions satisfying an implicit rela- tion, which generalizes a well-known result of Hadˇzi´c, is proved.
1. Preliminaries
In this section we recall some useful facts from the probabilistic metric spaces theory. For more details concerning this problematic we refer the reader to the books [1,3,9].
1.1.t-norms. Atriangular norm(shortlyt-norm) is a binary operationT: [0, 1]×[0, 1]→ [0, 1] :=I which is commutative, associative, monotone in each place, and has 1 as the unit element.
Basic examples areTL:I×I→I,TL(a,b)=Max(a+b−1, 0) (Łukasiewiczt-norm), TP(a,b)=ab, andTM(a,b)=Min{a,b}. We also mention the following families oft- norms:
(i)Sugeno-Weber family(TλSW)λ∈(−1,∞), defined byTλSW=max(0, (x+y−1 +λxy)/
(1 +λ)),
(ii)Domby family (TλD)λ∈(0,∞), defined by TλD =(1 + (((1−x)/x)λ+ ((1− y)/
y)λ)1/λ)−1,
(iii)Aczel-Alsina family(TλAA)λ∈(0,∞), defined byTλAA=e−(|logx|λ+|logy|λ)1/λ.
Definition 1.1[2,3]. It is said that thet-normTisof Hadˇzi´c-type(H-typefor short) and T∈Ᏼif the family{Tn}n∈Nof its iterates defined, for eachxin [0, 1], by
T0(x)=1, Tn+1(x)=TTn(x),x, ∀n≥0, (1.1) is equicontinuous atx=1, that is,
∀ε∈(0, 1)∃δ∈(0, 1) such thatx >1−δ=⇒Tn(x)>1−ε, ∀n≥1. (1.2) There is a nice characterization of continuoust-norms Tof the classᏴ[8].
Copyright©2005 Hindawi Publishing Corporation
International Journal of Mathematics and Mathematical Sciences 2005:5 (2005) 729–736 DOI:10.1155/IJMMS.2005.729
(i) If there exists a strictly increasing sequence (bn)n∈Nin [0, 1] such that limn→∞bn= 1 andT(bn,bn)=bn∀n∈N, thenTis of Hadˇzi´c-type.
(ii) IfTis continuous andT∈Ᏼ, then there exists a sequence (bn)n∈Nas in (i).
Thet-normTM is an trivial example of at-norm ofH-type, but there aret-normsT of Hadˇzi´c-type withT=TM(see, e.g., [3]).
Definition 1.2[3]. IfT is at-norm and (x1,x2,...,xn)∈[0, 1]n (n∈N), thenTin=1xi is defined recurrently by 1, ifn=0 andTin=1xi=T(Tin=−11xi,xn) for alln≥1. If (xi)i∈Nis a sequence of numbers from [0, 1], thenTi∞=1xiis defined as limn→∞Tin=1xi(this limit always exists) andTi∞=nxiasTi∞=1xn+i. In fixed point theory in probabilistic metric spaces there are of particular interest thet-normsT and sequences (xn)⊂[0, 1] such that limn→∞xn=1 and limn→∞Ti∞=1xn+i=1. Some examples oft-norms with the above property are given in the following proposition.
Proposition1.3 [3]. (i)ForT≥TLthe following implication holds:
nlim→∞Ti∞=1xn+i=1⇐⇒
∞ n=1
1−xn
<∞. (1.3)
(ii)(1.3) also holds forT=TλSW.
(iii)IfT ∈Ᏼ, then for every sequence (xn)n∈N in I such thatlimn→∞xn=1, one has limn→∞Ti∞=1xn+i=1.
(iv)IfT∈ {TλD,TλAA}, thenlimn→∞Ti∞=1xn+i=1⇔∞
n=1(1−xn)λ<∞.
Note [4, Remark 13] that ifTis at-norm for which there exists a sequence (xn)⊂[0, 1]
such that limn→∞xn=1 and limn→∞Ti∞=1xn+i=1, then supt<1T(t,t)=1.
1.2. Menger spaces and generalized Menger spaces. Probabilistic contractions of Sehgal type. Let ∆+be the class of distance distribution functions[9], that is, the class of all functionsF: [0,∞)→[0, 1] with the properties
(a)F(0)=0;
(b)Fis nondecreasing;
(c)Fis left continuous on (0,∞).
D+ is the subset of∆+ containing the functions F which also satisfy the condition limx→∞F(x)=1.
A special element ofD+is the functionε0, defined by ε0(t)=
0, ift=0,
1, ift >0. (1.4)
A sequence (Fn) in∆+is said to beweakly convergent toF∈∆+(shortlyFn−−→w F) if limn→∞Fn(x)=F(x) for every continuity pointxofF.
IfXis a nonempty set, a mappingF:X×X→∆+is calleda probabilistic distance onX andF(x,y) is denoted byFxy.
The triple (X,F,T), where X is a nonempty set,F is a probabilistic distance onX, andT is at-norm, is calleda generalized Menger space(or aMenger space in the sense of
Schweizer and Sklar) if the following conditions hold:
Fxy=ε0⇐⇒x=y, (1.5)
Fxy=Fyx, ∀x,y∈X, (1.6)
Fxy(t+s)≥TFxz(t),Fzy(s), ∀x,y,z∈X,∀t,s >0. (1.7) AMenger spaceis a generalized Menger space with the property Range (F)⊂D+.
If (X,F,T) is a generalized Menger space with supt<1T(t,t)=1, then the family Uε,λ ε>0,λ∈(0,1), Uε,λ=
(x,y)∈X×X:Fxy(ε)>1−λ (1.8) is a base for a metrizable uniformity onX, named theF-uniformityand denoted byᐁF.
ᐁFnaturally determines a topology onX, calledtheF-topology:
O∈᐀F⇐⇒ ∀x∈O∃ε >0, ∃λ∈(0, 1) such thatUε,λ(x)⊂O. (1.9) ᐁFis also generated by the family{Vδ}δ>0whereVδ:=Uδ,δ. In what follows the topo- logical notions refer to theF-topology. Thus, a sequence (xn)n∈NisF-convergent tox∈X if for allε >0,λ∈(0, 1) there existsk∈Nsuch thatFxxn(ε)>1−λfor alln≥k.
Definition 1.4. A sequence (xn)n∈N in X is calledF-Cauchyif for eachε >0,λ∈(0, 1) there existsk∈Nsuch thatFxrxs(ε)>1−λfor alls≥r≥k.
Probabilistic contractions were first defined and studied byV. M. Sehgalin his doctoral dissertation at Wayne State University.
Definition 1.5[10]. LetSbe a nonempty set and letFbe a probabilistic distance onS.
A mapping f :S→Sis calleda probabilistic contraction(orB-contraction) if there exists k∈(0, 1) such that
Ff(p)f(q)(kt)≥Fpq(t), ∀p,q∈S,∀t >0. (1.10) In [10] it is showed that any contraction map on a complete Menger space in which the triangle inequality is formulated under the strongest triangular normTM has a unique fixed point. In [11]Sherwoodshowed that one can construct a complete Menger space underTLand a fixed-point-free contraction map on that space.Hadˇzi´c[2] introduced the classᏴwhich have the property that Sehgal’s result can be extended to any continuous triangular norm in that class. Completing the result ofHadˇzi´c, Radusolved the problem of the existence of fixed points for probabilistic contractions in complete Menger spaces (S,F,T) withTcontinuous. Namely, the following theorem holds.
Theorem1.6 [7]. EveryB-contraction in a complete Menger space(S,F,T)withTcontin- uous has a (unique) fixed point if and only ifTis of Hadˇzi´c-type.
However, under some additional growth conditions on the probabilistic metricFone may replace the t-norm of H-type in the above theorem, as in Tardiff’s paper [13].
Corollary 2.6in our paper gives another result in this respect.
2. Main results
The main result of this paper isTheorem 2.4concerning contractive mappings satisfying an implicit relation similar to that in [6,12]. This theorem generalizes the mentioned result of Hadˇzi´c (seeCorollary 2.7). Note that we work in generalized Menger spaces.
We begin with an auxiliary result, which is formulated as follows.
Lemma2.1. Let(X,F,T)be a generalized Menger space and let(xn)n∈Nbe a sequence inX such that, for somek∈(0, 1),
Fxnxn+1(kt)≥Fxn−1xn(t), ∀n≥1,∀t >0. (2.1) If there existsγ >1such that
nlim→∞Ti∞=nFx0x1
γi=1, (2.2)
then(xn)n∈Nis anF-Cauchy sequence.
Proof. First note [4] that if the condition limn→∞Ti∞=nFx0x1(γi)=1 holds for someγ= γ0>1, then it is satisfied for allγ >1. Indeed, if limn→∞Ti∞=nFx0x1(γi0)=1 andγ≥γ0, then limn→∞Ti∞=nFx0x1(γi)≥limn→∞Ti∞=nFx0x1(γ0i)=1 and therefore limn→∞Ti∞=nFx0x1(γi)=1, while if γ < γ0, then γs> γ0, for some s∈N, and now limn→∞Ti∞=n+sFx0x1(γi)≥ limn→∞Ti∞=nFx0x1(γi0)=1.
We will prove that
∀ε >0,∃n0=n0(ε) :Fxnxn+m(ε)>1−ε, ∀n≥n0,∀m∈N. (2.3) Letµ∈(k, 1) and letδ=k/µ. From the above remark it follows that
nlim→∞Ti∞=nFx0x1
1 µi
=1. (2.4)
Letε >0 be given andyi:=Fx0x1(1/µi). From limn→∞Ti∞=1yn+i=1 it follows that there existsn1∈Nsuch thatTim=1yn+i−1>1−ε, for alln≥n1, for allm∈N.
Since the series∞n=1δnis convergent, there existsn2∈Nsuch that∞n=n2δn< ε.
Letn0=max{n1,n2}. Then, for alln≥n0andm∈N, we have Fxnxn+m(ε)≥Fxnxn+m
n+m−1
i=n
δi
≥Tim=−01Fxn+ixn+i+1
δn+i≥Tim=−01yn+i>1−ε,
(2.5)
where the last “≥” inequality follows fromFxsxs+1(δs)=Fxsxs+1(k/µ)s≥Fx0x1(1/µs) for all
s≥1, which immediately can be proved by induction.
In the following we deal with the classΦof all continuous functionsϕ: [0, 1]4→R with the property:
ϕ(u,v,v,u)≥0=⇒u≥v. (2.6)
Next we give some examples of functions inΦ.
Example 2.2. Ifa,b,c,d∈Randa+b+c+d=0, thenϕ(t1,t2,t3,t4) :=at1+bt2+ct3+ dt4∈Φif and only ifa+d >0.
Indeed,a+d≤0⇒b+c≥0. Choosingu=0,v=1 we haveu < vandϕ(u,v,v,u)= (a+d)u+ (b+c)v=b+c≥0.
Conversely, if a+d >0 andϕ(u,v,v,u)≥0, then (a+d)u≥ −(b+c)v, that is (a+ d)u≥(a+d)v, which implies thatu≥v.
Thus, the functionsϕ1,ϕ2, ϕ1
t1,t2,t3,t4
=t1−t2, ϕ2
t1,t2,t3,t4
=t1−t3, (2.7)
are inΦ.
Also, the functionϕdefined byϕ(t1,t2,t3,t4)=t21−t2t3and, more generally,ϕ(t1,t2, t3,t4)=t21−(at22+bt32)−t2t3witha+b=0 are inΦ.
In the proof of Theorem 2.4we need the following lemma, which is the analog of uniform continuity of a metric (note that ([0, 1],T) is rather a semigroup than a group).
Lemma2.3. Let(S,F,T)be a generalized Menger space withTcontinuous in(a, 1)for all a∈(0, 1), that is,
nlim→∞an=a, lim
n→∞bn=1=⇒lim
n→∞Tan,bn=a. (2.8) Ifp,q∈Sand(pn)is a sequence inSsuch thatpn→p, thenFpnq−−→w Fpq.
Proof. Letp,q∈S,pn→pandtbe a continuity point ofFpq. By (1.7) it follows that for all 0< ε < t,
Fpnq(t)≥TFpnp(ε),Fpq(t−ε),
Fpq(t+ε)≥TFpnp(ε),Fpnq(t). (2.9) Therefore, limninfFpnq(t)≥Fpq(t−ε) andFpq(t+ε)≥limnsupFpnq(t). Lettingε→0 we obtain limnsupFpnq(t)≤Fpq(t)≤limninfFpnq(t), and thus limn→∞Fpnq(t)=Fpq(t).
Theorem2.4. Let (X,F,T)be anF-complete generalized Menger space under a t-norm T which is continuous in(a, 1)for alla∈(0, 1),k∈(0, 1), andϕ∈Φ. If f :X→X is a mapping such that
ϕf
:ϕFf(x)f(y)(kt),Fxy(t),Fx f(x)(t),Fy f(y)(kt)≥0, ∀x,y∈X,∀t >0 (2.10) and there existx0∈Xandγ >1for whichlimn→∞Ti∞=nFx0f(x0)(γi)=1, then f has a fixed point.
Proof. Letx0∈Xbe such that limn→∞Ti∞=nFx0f(x0)(γi)=1 and, for alln≥1,xn=f(xn−1).
Note that (ϕf) implies that
Ff(x)f2(x)(kt)≥Fx f(x)(t), ∀x∈X,∀t >0. (2.11)
On taking in this relationx=xnwe obtain
ϕFxn+1xn+2(kt),Fxnxn+1(t),Fxnxn+1(t),Fxn+1xn+2(kt)≥0, ∀n∈N,∀t >0. (2.12) It follows that Fxn+1xn+2(kt)≥Fxnxn+1(t), for all n∈N, for all t >0 and therefore, by Lemma 2.1, (xn) is a Cauchy sequence.
By theF-completeness ofXit follows that there existsu∈Xsuch that limn→∞Fuxn(t)= 1, for allt >0.
Notice that from Fxn+1xn+2(kt)≥Fxnxn+1(t), for all n∈N, for all t >0 it follows that limn→∞Fxnxn+1(t)= 1, for all t > 0, for limn→∞Ti∞=nFx0f(x0)(γi) = 1 implies that limn→∞Fx0f(x0)(γn)=1 (thereforeFx0f(x0)∈D+) andFxnxn+1(t)≥Fx0x1(t/kn), for alln∈N, for allt >0.
Next, on takingx=xn,y=uin (ϕf) one obtains
ϕFxn+1f(u)(kt),Fxnu(t),Fxnxn+1(t),Fu f(u)(kt)≥0, ∀n∈N,∀t >0. (2.13) Ifktis a continuity point ofFu f(u), then, on takingn→ ∞in the above inequality and usingLemma 2.3, we get
ϕFu f(u)(kt), 1, 1,Fu f(u)(kt)≥0. (2.14) ThusFu f(u)(kt)=1. SinceFu f(u)is increasing, the set of its discontinuity points is at most countable. HenceFu f(u)(kt)=1 for allt >0, from which (using (1.5)) we obtainu= f(u).
This completes the proof.
Corollary2.5 [5, Theorem 2.1]. Let(X,F,T)be anF-complete generalized Menger space under a continuoust-normT∈Ᏼ,k∈(0, 1), andϕ∈Φ. If f :X→Xis a mapping such that
ϕFf(x)f(y)(kt),Fxy(t),Fx f(x)(t),Fy f(y)(kt)≥0, ∀x,y∈X,∀t >0 (2.15) and there existsx0∈Xfor whichFx0f(x0)∈D+, thenf has a fixed point.
Proof. Choose a µ > 1. Since limn→∞µn = ∞ and Fx0x1 ∈ D+, it follows that limn→∞Fx0f(x0)(µn)=1. Therefore, byProposition 1.3(iii),
nlim→∞Ti∞=nFx0f(x0)
µi=1. (2.16)
Now applyTheorem 2.4.
Corollary2.6. Let(X,F,TL)be anF-complete generalized Menger space andϕ∈Φ. If f :X→Xis a mapping such that
ϕFf(x)f(y)(kt),Fxy(t),Fx f(x)(t),Fy f(y)(kt)≥0, ∀x,y∈X,∀t >0, (2.17) and∞n=1(1−Fx0f(x0)(γn))<∞for somex0∈Xandγ >1, then f has a fixed point.
For the proof seeProposition 1.3.
Corollary 2.7. Let (X,F,T) be an F-complete generalized Menger space under T∈ {TλD,TλAA},k∈(0, 1), andϕ∈Φ. If f :X→Xis a mapping such that
ϕFf(x)f(y)(kt),Fxy(t),Fx f(x)(t),Fy f(y)(kt)≥0, ∀x,y∈X,∀t >0 (2.18) and∞n=1(1−Fx0f(x0)(γn))λ<∞for somex0∈Xandγ >1, thenf has a fixed point.
Corollary2.8. Let(X,F,T)be anF-complete generalized Menger space under a continu- oust-normT∈Ᏼandk∈(0, 1). If f :X→Xis a mapping satisfying one of the following conditions:
Ff(x)f(y)(kt)≥Fxy(t), ∀x,y∈X,∀t >0, (2.19) F2f(x)f(y)(kt)≥Fxy(t)Fx f(x)(t), ∀x,y∈X,∀t >0, (2.20) Ff(x)f(y)(kt)≥2Fxy(t)−Fx f(x)(t), ∀x,y∈X,∀t >0 (2.21) and there existsx0∈Xfor whichFx0f(x0)∈D+, thenf has a fixed point.
As a final result for this section, we consider an example to see the generality of Theorem 2.4.
Example 2.9. LetX be a set containing at least two elements and the mappingF from X×Xto∆+, defined by
Fxy(t)=
0, ift≤1 1
2, ift >1 forx,y∈X,x=y, Fxx=ε0, ∀x∈X. (2.22) It is easy to show (see [14]) that (X,F,TM) is a complete Menger space.
We are going to prove that the mapping f :X→X, f(x)=x satisfies the contrac- tivity condition (2.21) from the above corollary withb=2,c= −1, however it is not a B-contraction (here we took advantage of working in∆+rather than inD+).
First, we show that
Fxy(kt) + 1≥2Fxy(t), ∀x,y∈X,∀t >0. (2.23) Indeed, the above inequality holds with equality ifx=y, while ifx=ythen the right- hand member is at most 1.
Next, for everyt∈(1, 1/k],Fxy(kt)=0, whileFxy(t)=1/2, which means that f is not a Sehgal contraction.
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Dorel Mihet¸: Faculty of Mathematics and Computer Science, West University of Timisoara, Bd. V.
Parvan 4, 300223 Timisoara, Romania E-mail address:[email protected]