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© Hindawi Publishing Corp.

COMPACITY IN NARROW LIMIT TOWER SPACES

LIVIU C. FLORESCU

(Received January 2000 and in revised form 4 May 2000)

Abstract.We introduce a limit tower structure on the space of all bounded Radon mea- sures on a completely regular space and we extend the Prohorov’s theorem of narrow compactness. In the particular case of Polish spaces, we give a sequential version of this extension.

2000 Mathematics Subject Classification. 28A33, 46E27, 54E70, 54A20, 60B10.

1. Introduction. Let T be a completely regular space,Ꮾ the boreliens ofT, and Mb(T )the set of all bounded Radon measures on(T ,)(i.e., the real bounded mea- suresµ:ᏮRsuch that|µ|(A)=sup{|µ|(K):Kis compact,K⊆A}, for allA∈Ꮾ, where|µ|is the variation ofµ). Denote byb(T )the space of all bounded continuous real functions onT and letf =sup{|f (t)|:t∈T}, for everyf∈b(T ). We recall that a filterFonMb(T )is narrowly convergent toµif and only ifVε,f(µ)∈F, for all f∈b(T ),ε >0, whereVε,f(µ)= {ν:|µ(f )−ν(f )|< ε}.

We say that a setH⊆Mb(T )isrelatively narrowly compact if, for every filterbase B2Hthere exist a filterFonMb(T )andµ∈Mb(T )such thatFconverges toµ.

Prohorov’s classical theorem states thata bounded setH⊆Mb(T )is relatively nar- rowly compact if the following condition is satisfied:

∀ε >0, ∃Kεcompact⊆T:|µ|

T\Kε

< ε,∀µ∈H. (1.1)

A setHas in (1.1) is calledtight.

We remark that, ifT is a Polish space (i.e.,T is a separable, completely metriz- able space) orT is a locally compact space, the converse is also true (relative narrow compactness implies tightness) (see [2, Section 5, Theorems 1 and 2]).

Limit tower spaces were first defined in 1997 by Kent and Brock [3] as an isomorphic gradated variant of convergence approach spaces of Löwen [8].

In this paper, we introduce onMb(T )a limit tower structure ¯p= {pa:a∈[0,+∞]}

(see [3]), wherep0is the narrow convergence structure. Then, for every bounded set H⊆Mb(T ), there exists a numbert=t(H)≥0 such that, for every filterbaseB2H there exists a filterFonMb(T ),BF,pt-convergent inMb(T )(seeTheorem 3.8); we say thatHispt-relatively compact. The numbert(H)estimates the degree of tightness ofH. IfHis tight thent(H)=0, so we obtain Prohorov’s theorem.

IfT is a locally compact space we extend also the converse of Prohorov’s theorem (seeTheorem 3.12).

We give some examples in the particular case ofT=NwhenMb(N)=1.

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InSection 4, we obtain a sequential version ofTheorem 3.8on the subsetM1(T )⊆ Mb(T )of all probabilities on the Polish spaceT. So, every sequencen)n∈NM1(T ) contains a subsequence p2t-convergent in M1(T ), where t= t({µn :n N}) (see Theorem 4.9). In particular, we prove that the limit tower structure ¯p on the set of probabilities is induced by a probabilistic metric on this space.

2. Limit tower structures. LetXbe a set,B(X)the set of all filterbases onX, and 2X the power set ofX; for everyFB(X),Fis the filter generated byF. Fo rx∈X, let ˙xdenote the fixed ultrafilter generated by{x}.

Definition2.1(see [3, Definition 1]). Alimit structureonXis a functionq:B(X)→

2Xsatisfying

x∈q(x), x˙ ∈X, (2.1)

q(F)=q F

, ∀F∈B(X), (2.2) q

FG

=q(F)∩q(G), ∀F,GB(X). (2.3) A pair(X,q), whereqis a limit structure onXis called alimit space.

Remark2.2. The statement “x∈q(F)” will be writtenF q→x and we say thatF q-converges tox.

Remark2.3. In [3], alimit structureis a functionq:F(X)2X, whereF(X)denotes the set of all filters onX, satisfying

x∈q(x), x˙ ∈X, FG ⇒q(F)⊆q(G), x∈q(F)x∈q(F∩x),˙ x∈q(F)∩q(G)x∈q(F∩G).

(2.4)

If we extend such a functionqtoB(X)lettingq(F)=q(F), then (2.4) is equivalent to (2.1), (2.2), and (2.3).

Remark2.4. Ifτis a topology onXand we defineF qτ→xif and only ifᐂτ(x)⊆F, thenqτ is a limit structure onX(hereᐂτ(x)denotes the neighborhood filter ofxin (X,τ)). More exactly we have the following proposition.

Proposition2.5(see [3, Proposition 2]). Letqbe a limit structure onX; the neces- sary and sufficient condition for a topologyτ to exist onX, such thatq=qτ, is thatq fulfills the following condition:

(F)Let{Fj:j∈J}be a family of filterbases onXand{xj:j∈J} ⊂Xbe such that Fj q

→xjfor allj∈J.

IfΦB(J)is such thatF q→x, whereF= {{xj:j∈φ}:φ∈Φ}, then

φ∈Φ

j∈φ

Fj q→x. (2.5)

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Definition2.6(see [3, Definition 4]). Alimit tower p¯on a setX is a family ¯p= {pa:a∈[0,+∞]}of limit structures onXsatisfying the following conditions:

pa(F)⊆pb(F), ∀a≤b,∀F∈B(X), (2.6) p(F)=X, ∀F∈B(X), (2.7) pa(F)= ∩b>apb(F), ∀a∈[0,+∞),∀F∈B(X). (2.8) Ifx∈pa(F), we say thatFispa-convergent toxand we denote this byF pa→x. If ¯p is a limit tower onX,(X,p)¯ is called alimit tower space.

The axiom (F) defined inProposition 2.5 has a natural extension to a limit tower space(X,p):¯

(F) Leta,b∈[0,+∞],{Fj:j∈J} ⊆B(X), and{xj:j∈J} ⊆Xsuch thatFj pa

→xj, for allj∈J. IfΦB(J)is such thatF pb→x, whereF= {{xj:j∈φ}:φ∈Φ}, then

φ∈Φ

j∈φ

Fj pa+b→x. (2.9)

Definition2.7. A limit tower ¯ponXwhich satisfies (F) is called atopological limit tower.

Remark2.8. From [3, Theorems 9, 13 and Proposition 12(b)] we know that a topo- logical limit tower is an isomorphic form of a Löwen’s approach structure (see [8]).

3. Narrow limit tower onMb(T ). In this section, we introduce a topological limit tower ¯p= {pa:a∈[0,+∞]}on the space of bounded Radon measures on a completely regular space such thatp0-convergence is just the narrow convergence; then we extend the Prohorov’s theorem of narrow compactness.

Let T be a completely regular space, let Ꮾ be the σ-algebra of Borel subsets of T, and letMb(T ) be the set of all bounded Radon measures on(T ,). Denote by Cb(T )the set of all bounded continuous real functions onT. For everyf∈Cb(T )and µ∈Mb(T ), we denoteµ(f )=

Tf dµ.

Now, for everya∈[0,+∞],µ∈Mb(T ), andf∈Cb(T ), we denote Va,f(µ)=

ν∈Mb(T ):µ(f )−ν(f )≤af

. (3.1)

Then, for everya∈[0,+∞), letpa:B(Mb(T ))→2Mb(T )defined by pa(F)=

µ∈Mb(T ):∀b > a,∀ ∈Cb(T ),Vb,f(µ)∈F

, (3.2)

for all filterbasesFonMb(T ); letpbe the indiscrete convergence structure onMb(T ) (p(F)=Mb(T ), for allFB(Mb(T ))).

We remark thatF pa→µif and only if for allb > a, for allf∈Cb(T ),Vb,f(µ)∈F. Proposition3.1. The limit towerp¯= {pa:a∈[0,+∞]}is a topological limit tower onMb(T ).

Proof. For everya∈[0,+∞),µ∈Mb(T ), andf∈Cb(T ), we haveµ∈Va,f(µ), so that we have (2.1).

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Equations (2.2), (2.3), (2.6), and (2.7) are consequences of the definition of ¯p. From (2.6),pa(F)⊆ b>apb(F), for allFB(Mb(T )). IfF pc µ, for allc > a, then for all b > a, there existscsuch thata < c < bhenceVb,f(µ)∈F, for allf∈Cb(T ). Therefore F pa→µand sowe have (2.8).

(F) Leta,b≥0,{Fj :j∈J} ⊆B(Mb(T )), and j:j ∈J} ⊆Mb(T ) such that (1) Fj pa

→µj, for all j ∈J. Let Φ be a filterbase onJ such that (2) F b→µ,whereF= {{µj}j∈φ:φ∈Φ}. Then for allu > a+b, there existd > a,e > bsuch thatu=d+e.

Then for all f ∈Cb(T ), from (2), Ve,f(µ)∈F hence, there existsφ∈Φ such that j}j∈φ⊆Ve,f(µ). Then (3)|µj(f )−µ(f )| ≤ef, for allj∈φ.

From (1), for allj∈J,Vd,fj)∈Fj. But, from (3),Vd,fj)⊆Vu,f(µ), sothatVu,f Fj, for allj∈φ. Therefore,

Vu,f(µ)∈

j∈φ

Fj

φ∈Φ

j∈φ

Fj. (3.3)

It follows thatµ∈pa+b(

φ∈Φ j∈φFj), sothat ¯p= {pa:a∈[0,+∞]}is a topological limit tower onMb(T ).

Definition3.2. We say that ¯p= {pa:a∈[0,+∞]}is thenarrow limit tower on Mb(T ).

Remark3.3. Note thatp0is the narrow convergence structure onMb(T ). Indeed, F p0→µ if and only if for allε >0, for allf∈Cb(T ),Vε,fF. But the setsVε,f(µ)= :|µ(f )−ν(f )| ≤εf}form a subbase for the neighbourhood system ofµin the narrow topology onMb(T ); sothatFis narrowly convergent toµ.

Remark 3.4. If F pa→µ then F pb→µ, for allb ≥a. Thusp0 is the finest limit structure of ¯p.

Remark3.5. We may interpret inf{a:F pa→µ}as the degree of narrow convergence of filterbaseFtoµ.

Remark3.6. For every neti)i∈IMb(T )((I,≤)is a directed set) letF= {{xj: j≥i}:i∈I}be the filterbase generated byi)i∈I.

If ¯p= {pa :a∈[0,+∞]}is the narrow limit tower on Mb(T ), then we say that µi a

→µifF pa→µ. Therefore,µi a

→µif and only if limsup

i

µi(f )−µ(f )≤a·f, ∀f∈Cb(T ). (3.4) Definition 3.7. We say that a subsetH Mb(T )is a-relatively compact if for every filterbaseB2H, there exist a filterFonMb(T )andµ∈Mb(T )such thatBF andF pa→µ.

We remark that H is 0-relatively compact if and only ifH is relatively narrowly compact.

A subset H⊆Mb(T )is bounded if sup{|µ|(T ):µ∈H}<+∞, where|µ|is the variation ofµ. The mappingµ|µ|(T )= µis a norm onMb(T ).

Let᏷(T )be the family of all compact sets onT; for every bounded setH⊆Mb(T )

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we denote

t(H)= inf

K∈(T )sup

µ∈H|µ|(T\K). (3.5) We remark thatt(H)∈[0,+∞)andt(H)=0 if and only ifHis tight. We say thatt(H) is thedegree of tightnessofH.

Now we give an extension of Prohorov’s theorem.

Theorem3.8. Every bounded setH⊆Mb(T )ist(H)-relatively compact.

Proof. LetXbe the Stone-ˇCech compactification ofTandi:T→Xbe the canoni- cal injection ofT inX. We remark thatCb(X)=C(X)(Xis compact); so(Mb(X),·) is the topological dual of the Banach space(C(X), · )and the narrow topology on Mb(X)is the weak-topology,w, of this dual space.

For every µ∈Mb(T )we define ν=I(µ)∈Mb(X), whereI(ν)(F)=µ(F◦i), fo r everyF∈C(X);ν = |ν|(X)= |µ|(T )= µsothatI:Mb(T )→Mb(X),µI(µ), is an isometric embedding.

LetH be a bounded subset of Mb(T ); then I(H)is a bounded subset ofMb(X).

ThereforeI(H)is w-relatively compact. For every filterbaseB2H, I(B)= {I(B): B∈B}is a filterbase onI(H). Sothat, there exists a filterGonMb(X) w-convergent toa measureν0Mb(X)such thatI(B)⊆G. From the definition oft(H), there exists a sequence(Kn)n(T )such that (1)|µ|(T\Kn) < t(H)+1/n, for alln∈N, for all µ∈H. We denoteT0=

n=1Knand (2)X0=

n=1i(Kn)=i(T0).

For everyn∈N,i(Kn)∈(X), sothatX0is a Borel set ofX. On the other hand, for everyn∈N,X\i(Kn)is an open subset ofXsothat the mappingλ|λ|(X\i(Kn))is aw-lower semi-continuous mapping onMb(X)(see [2, Section 5, Proposition 6(a)]).

FromG w→ν0, for alln∈N, there existsGnGsuch that (3)0|(X\i(Kn))−1/n <

|λ|(X\i(Kn)), for allλ∈Gn.

The filterbaseBis a filterbase onHsothatB= ∅. LetB0be a set inB; thenI(B0)∈ I(B)⊆G.

For everyn∈N, there existsµn∈B0such thatI(µn)∈Gn(I(B0)∩Gn= ∅). There- fore, from (1) and (3), for everyn∈N,

ν0(X\X0)≤ν0X\i Kn

<I µn

X\i Kn

+1 n

n i−1

X\i Kn

+1

n=µnT\Kn +1

n< t(H)+2 n.

(3.6)

Hence (4)0|(X\X0)≤t(H).

Now,Xbeing the Stone-ˇCech compactification ofT, for everyf∈Cb(T )there exists F∈C(X)such thatF◦i=f andF = f(see [10, Theorem 1.4.6, page 25]). Now we defineJ:Cb(T )→Rletting

J(f )=ν0

F·χX0

=

X0F dν0. (3.7)

Obviously,Jis a continuous linear mapping onCb(T ). For everyε >0, from (2), there existsK∈(T )such that0|(X0\i(K)) < εandi(K)⊆X0. Then, for everyg∈Cb(T )

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with|g| ≤1 andg|K=0, letG∈C(X)such thatG◦i=g. Therefore, we have J(g)=

ν0

G·χX0

ν0

G·χX0\i(K) +

ν0

G·χi(K)

≤ν0X0\i(K)

< ε. (3.8)

Hence,Jis a linear mapping satisfying the condition(M)from [2, Section 5, Proposi- tion 5] so that there exists exactly one measureµ0Mb(T )such thatµ0(f )=J(f ), for everyf∈Cb(T ). Then we have (5)µ0(f )=ν0(F·χX0), for allf∈Cb(T ), whereF is the continuous extension off toX.

Now, for everyf1,...,fn∈Cb(T )withfk>0, for allk=1,...,n, letF1,...,Fn C(X)such thatFk◦i=fkandFk = fk, for everyk=1,...,n.

For allb > t(H), letε=(b−t(H))·min{fk:k=1,...,n}>0. The set G=n

k=1

λ∈Mb(X)Fk

−ν0

Fk< ε

(3.9)

is aw-neighborhood ofν0and sois a member ofG(G w→ν0). Therefore, for every B∈B,G∩I(B)= ∅(I(B)G). Hence there existsµ∈Bsuch thatI(µ)∈G. Then, for everyk=1,...,n, from (4) and (5), we have

µ fk

−µ0

fk=µ Fk◦i

−µ0

fk=I(µ) Fk

−ν0

Fk·χX0

I(µ) Fk

−ν0

Fk+ν0

Fk·χX\X0

< ε+Fk·ν0X\X0

< ε+fk·t(H)≤

b−t(H)

·fk+fk·t(H)=b·fk. (3.10) Therefore,µ∈ nk=1Vb,fk0). So, for everyb > t(H), n∈N,f1,...,fn∈Cb(T )and B∈B,

n k=1

Vb,fk

µ0

∩B= ∅. (3.11)

LetFbe the filter generated by the filterbase



n k=1

Vb,fk

µ0

∩B:b > t(H), f1,...,fn∈Cb(T ), B∈B



. (3.12)

ThenBFandF pt(H)→µ0, sothatHis at(H)-relatively compact set.

Remark3.9. IfHis tight inMb(T )thent(H)=0, sothatHis a relatively narrowly compact set and we obtain Prohorov’s theorem.

Remark 3.10. Let a≥b≥0; then, everyb-relatively compact set is a-relatively compact set, also. Therefore, for every bounded setH⊆Mb(T )

t(H),+∞

a≥0 :Hisa-relatively compact

. (3.13)

Remark3.11. We say thatH⊆Mb+(T )isa-relatively compactinMb+(T )if, for every filterbaseB2H, there exist a filterFonMb+(T )andµ∈Mb+(T )such thatBFand for allb > a, for allf∈Cb(T ),Vb,f(µ)∩Mb+(T )∈F; we say in this case thatF pa→µ inMb+(T ).

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The subset of all positive measures,Mb+(X), is closed in the narrow topology of Mb(X)(see [2, Section 5, Remark 2]) so that, ifH⊆Mb+(T )is a bounded subset, then I(H)isw-relatively compact inMb+(X). Then we follow the proof ofTheorem 3.8 and we obtain that every bounded subsetH⊆Mb+(T )ist(H)-relatively compact in Mb+(T ). Also, we have

t(H),+∞

a≥0 :Hisa-relatively compact inMb+(T )

. (3.14)

In the particular case whereT is locally compact, we have the converse ofTheorem 3.8in the subspaceMb+(T ).

Theorem3.12. LetT be a locally compact space andHana-relatively compact set inMb+(T ); thent(H)≤a.

Proof. We suppose thatHis ana-relatively compact subset ofMb+(T )andt(H)= infK∈(T )supµ∈Hµ(T\K) > a. Then, for everyε >0 andK∈(T ), there existsµK∈H such that (1)µK(T\K) > a+ε.

For everyK∈(T )we denoteBK= {µL:L∈(T ), K⊆L}. ThenB= {BK:K∈(T )}

is a filterbase onHsothat there exist a filterFonMb+(T )andµ∈Mb+(T )such that BFand (2)F pa→µ, inMb+(T )(seeRemark 3.11). Sinceµis a Radon measure, there existsK0(T )such that (3)µ(T\K0) < ε/2.

LetU be a relatively compact neighborhood ofKandf :T →[0,1]a continuous function such that (4)f|K0=0 andf|T\U=1.

We remark thatf∈Cb(T )andf =1. Now letb=a+ε/2> aandf∈Cb(T );

from (2),Vb,f(µ)∈FBsothat (5)Vb,f(µ)∩BU¯= ∅.

Hence, there existsK∈(T ),K⊇U¯such that (6)K(f )−µ(f )| ≤b·f =b.

From (1), (3), (4), and (6) we obtain the following contradiction:

a+ε < µK(T\K)≤µK T\U¯

≤µK(f )≤µ(f )+a+ε 2

≤µ T\K0

+a+ε

2< a+ε.

(3.15)

Remark3.13. IfHis a relatively narrowly compact subset ofMb+(T )(i.e., 0-relatively compact set), thent(H)=0 sothatH is tight. Therefore, we obtain the converse of Prohorov’s theorem; soTheorem 3.12is an extension of [2, Section 5, Theorem 2].

Remark3.14. FromRemark 3.11andTheorem 3.12, we obtain (in the case of lo- cally compact spaces)

t(H),+∞

=

a≥0 :Hisa-relatively compact inMb+(T )

. (3.16)

Example3.15. LetT=Nbe the set of natural numbers andB=(N). ThenMb(N)= 1(the space of all sequences of real numbers(xn)n∈Nsuch that

n=1|xn|<+∞) and Cb(T )=(the space of all bounded sequences of real numbers). Indeed,

∀x= xn

n1, x:B →R, x(A)=

n∈A

xn,

x(y)=

nxnyn, ∀y=(yn)n. (3.17)

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Let (xp)p∈N Mb(N) and x Mb(N), where xp =(xpn)n, for every p∈ Nand x=(xn)n. Thenxp a→xif and only if (1) limsupp|

n∈N(xnp−xn)·yn| ≤a·supn|yn|, for all(yn)n(seeRemark 3.6).

For every bounded setH= {xp:p∈N} ⊆Mb(N)(2)t(H)=infmsupp

n=m|xnp|.

Let(xp)p∈N⊆[0,1]be a sequence; we define

xnp=









1−xp, n=0, xp, n=p, 0, otherwise.

(3.18)

Thenxp=(xnp)n∈NMb(N)and, from (2), we obtain t

xp:p∈N

=limsup

n xn=t. (3.19)

We easily remark thatxp t→x, wherex=(xn)nand

xn=



1, n=0,

0, n >0. (3.20)

FromRemark 3.14, inf{a0 :xp a→x} =limsupnxn. If xn0, then (xp)p is narrowly convergent tox. In the particular case wherexn=1, for everyn∈N,xpis the Dirac measureδpandδp 1→δ0.

We remark that

inf

a≥0 :δp a→δ0

=1. (3.21)

4. Probabilistic metric onM1(T ). Let(T ,d) be a Polish space and letM1(T )⊆ Mb+(T )be the subset of all probabilities onT. We say that a neti)i∈IM1(T )is pa-convergent toµ∈M1(T )(a0) if

limsup

i

µi(f )−µ(f )≤a·f, ∀f∈Cb(T ). (4.1) We denote this byµi a→µ. So , ¯p= {pa:a∈[0,+∞]}is the narrow limit tower induced onM1(T )(seeRemark 3.6). IfX is the Stone-ˇCech compactification ofT, the subset M1(X)is a compact set ofMb(X)(see [2, Section 5, Proposition 11]). So, with a similar argument tothat ofRemark 3.11, we deduce that every subsetH⊆M1(T )ist(H)- relatively compact inM1(T )(i.e., every neti)i∈Ihas a subnetpa-convergent).

Theorem 4.1has a similar proof to that of Portmanteau’s theorem (see [1, Theorem 2.1, Appendix III, Theorem 3]) which we omit.

Theorem4.1. Let(µi)i∈I be a net inM1(T ),µ∈M1(T )anda≥0; the following statements are equivalent:

µi a

→µ, (4.2)

limsup

i

µi(f )−µ(f )≤a, ∀f∈Cb(T )withf ≤1, (4.3)

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limsup

i µi(F)≤µ(F), ∀F=F¯⊆T , (4.4) liminf

i µi(D)≥µ(D), ∀D=D⊆T , (4.5) limsup

i

µi(A)−µ(A)≤a, ∀A∈withµA¯−A

=0. (4.6)

InTheorem 4.1,A¯andA denote the closure and the interior ofAin the topological space(T ,τd), respectively.

Remark4.2. InTheorem 4.1, we can suppose thata∈[0,1].

Remark4.3. R. Löwen gave a similar result in [7, Theorem 6].

Definition4.4. For everyF=F¯⊆Tandε >0 we denoteFε= {t∈T:d(t,F) < ε}.

For everya∈[0,1]we defineLa:M1(T )×M1(T )→R+letting La(µ,ν)=inf

ε >0 :µ(F) < ν Fε

+a+ε,ν(F) < µ Fε

+a+ε,∀F=F¯⊆T . (4.7) Remark4.5. L0is the metric of Lévy-Prohorov onM1(T ). Therefore,L0induces the narrow topology onM1(T )and(M1(T ),L0)is a Polish space [2, Section 5, Examples 8 and 9].

Remark4.6. The familyᏸ= {La:a∈[0,1]}has the following properties:

La(µ,ν)=0, ∀a≥0⇐⇒µ=ν,

La(µ,ν)=La(ν,µ), ∀µ,ν∈M1(T ), ∀a∈[0,1],

La+b(µ,ν)≤La(µ,λ)+Lb(λ,ν), ∀µ,ν,λ∈M1(T ), ∀a,b∈[0,1], La(µ,ν)=sup

b>aLb(µ,ν), ∀µ,ν∈M1(T ), ∀a∈[0,1).

(4.8)

In [4, Theorem 1] we proved that such a familyᏸis an equivalent gradated form of a probabilistic metric(F,Tm), where, for everyµ,ν∈M1(T )anda >0,

F(µ,ν)(a)=sup

ε>0inf

F=¯F

min

µ Fa−ε

−ν(F),ν Fa−ε

−µ(F) +1+a

1 (4.9) andTm(a,b)=max{a+b−1,0}. For the space of distribution functions, equivalent probabilistic metrics are introduced in [5,6,9].

InTheorem 4.7we compare the narrow limit tower with the convergence structures induced by the family of semi-pseudometricsᏸ= {La:a∈[0,1]}. So, this theorem is an important step to obtain a sequential version ofTheorem 3.8.

Theorem4.7. Let(µi)i∈Ibe a net inM1(T ),µ∈M1(T )anda∈[0,1].

IfLa µi

→0, thenµi a→µ, (4.10)

Ifµi a→µ, thenL2a µi

→0. (4.11)

Proof. (i) We suppose thatLai,µ)→0; then, for everyn∈N, there existsin∈I such that, for everyi≥in,Lai,µ) <1/n. Therefore,

µi(F) < µ F1/n

+a+1

n, ∀F=F,¯ (4.12)

(10)

sothat, for everyF=F¯⊆T, limsup

i µi(F)≤sup

i≥in

µi(F)≤µ F1/n

+a+1

n. (4.13)

Butµ(F1/n)→µ(F), sothat limsupiµi(F)≤µ(F)+a, for allF=F¯. From (4.4) this is equivalent toµi a→µ.

(ii) Let nowµi a

→µ and let ε >0. For everyr >0 and t∈T, let Sr(t)= {s∈T : d(s,t) < r}. ThenSr(t)\Sr(t)⊆ {s∈T :d(s,t)=r} =Cr. ButCr1∩Cr2= ∅, fo r allr1=r2andµ(∪r >0Cr)≤1. It follows that there exists a countable setN⊆(0,+∞) such thatµ(Cr)=0, for allr∈(0,+∞)\N. Therefore,Tbeing separable, there exists a countable family{Srn(tn):n∈N}such that (1)T= ∪1Srn(tn),µ(Srn(tn)\Srn(tn))= 0 andrn< ε/6, for alln∈N.

We denote for alln∈N,Sn=Srn(tn). LetK⊆T be a compact set such thatµ(T\ K) < ε/3 and letp∈Nsuch thatK⊆ ∪pn=1Sn=A0; then (2)µ(T\A0) < ε/3.

We denoteᏭ= {∪qi=1Ski:q∈N, k1,...,kn≤p}; obviously,A0Ꮽ. For everyA∈Ꮽ, µ(A\¯ A)=0 sothat, from (4.6),

limsup

i

µi(A)−µ(A)≤a. (4.14)

Therefore there existsi0∈Isuch that, for everyi≥i0andA∈Ꮽ, (3)i(A)−µ(A)|<

a+ε/3.

Now, for everyF=F¯⊆T, let AF=

Sn:n≤p, Sn∩F= ∅

. (4.15)

Then (4)F⊆AF∪(T\A0),AF⊆Fε/3.

Indeed,F=(F∩A0)∪(F\A0)⊆AF∪(T\A0). For everyt∈AFthere existsSnsuch thatt∈SnandSn∩F= ∅. Then, from (1),d(t,F)≤2·rn< ε/3, sothatt∈Fε/3. Then, from (2), (3), and (4), we have

µi(F) < µi AF

i T\A0

< µ(F)+a+ε

3+1−µi A0

< µ AF

+a+ε

3+1−µ A0

+a+ε 3

AF

T\A0

+2·a+2ε 3

< µ Fε/3

+2·a+ε≤µ Fε

+2·a+ε, µ(F)≤µ

AF

T\A0

< µi AF

+a+ε 3

3

< µi Fε/3

+a+2ε 3 < µi

Fε

+2·a+ε,

(4.16)

for everyF=F¯⊆T. ThenL2ai,µ)≤ε, for everyi≥i0. ThereforeL2ai,µ)→0.

Corollary4.8. LetHbe ana-relatively compact subset inM1(T ); then, for every sequence(µn)n∈N⊆H, there exist a subsequence(µkn)n∈N andµ∈M1(T )such that µkn 2·a→µ.

Proof. For every sequencen)n∈N ⊆H, there exist a subnet ni)i∈I and µ∈ M1(T ) such thatµni a→µ. From (4.11),L2ani,µ)→0. So, for every p∈N, there existsip∈Isuch thatnip≥pandL2anip,µ) <1/p.

(11)

Therefore, we can choose a subsequencen)n∈Nofn)n∈Nsuch thatL2an,µ)→ 0. From (4.10) it follows thatµn 2·a→µ.

Now we are able to give the sequential version ofTheorem 3.8.

Theorem4.9. Let(µn)n∈NM1(T )andt=t({µn:n∈N})be the degree of tight- ness of(µn)n∈N. Then there exist a subsequence(µkn)n∈N andµ∈M1(T )such that

µkn 2·t→µ. (4.17)

References

[1] P. Billingsley,Convergence of Probability Measures, John Wiley & Sons, New York, 1968.

MR 38 # 1718. Zbl 172.21201.

[2] N. Bourbaki,Éléments de Mathématique. Fasc. XXXV. Livre VI: Intégration. Chapitre IX:

Intégration sur les Espaces Topologiques Séparés, Actualités Scientifiques et Indus- trielles, no. 1343, Hermann, Paris, 1969 (French).MR 43#2183. Zbl 189.14201.

[3] P. Brock and D. C. Kent,Approach spaces, limit tower spaces, and probabilistic conver- gence spaces, Appl. Categ. Structures5(1997), no. 2, 99–110.MR 98b:54017.

[4] L. C. Florescu,Probabilistic pseudometrics, Mathematica (Cluj)24(47)(1982), no. 1-2, 21–

29.MR 85c:54047.

[5] ,Ap-complete Menger structure for distribution functions space, An. ¸Stiin¸t. Univ.

Al. I. Cuza Ia¸si Sec¸t. I a Mat.34(1988), no. 1, 1–6.MR 89m:54044. Zbl 656.60019.

[6] U. Höhle,Probabilistische Metriken auf der Menge der nicht negativen Verteilungs funk- tionen, Aequationes Math.18(1978), no. 3, 345–356 (German).MR 80k:54057.

[7] R. Lowen,Convergence in a localizable fuzzy topology on spaces of probability measures, Convergence Structures 1984 (Bechynˇe, 1984), Math. Res., 24, Akademie-Verlag, Berlin, 1985, pp. 217–226.MR 87g:54017.

[8] ,Approach spaces: a common supercategory of TOP and MET, Math. Nachr.141 (1989), 183–226.MR 90i:54025.

[9] V. Radu,On obtaining Lévy’s metric by probabilistic metrics, An. Univ. Timi¸soara Ser.

¸Stiin¸t. Mat.24(1986), no. 1-2, 60–65.MR 88j:54046.

[10] R. C. Walker,The Stone- ˇCech Compactification, Springer-Verlag, New York, 1974, Ergeb- nisse der Mathematik und ihrer Grenzgebiete, Band 83.MR 52 # 1595.

Liviu C. Florescu: Faculty of Mathematics, University Al. I. Cuza, Carol I,11, RO-6600, Romania

E-mail address:[email protected]

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