Local Strassen’s law of the iterated logarithm for increments of a Brownian motion in Hölder norm

Yonghong LIU , Weina WANG

Front. Math. China ›› 2025, Vol. 20 ›› Issue (2) : 91 -98.

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Front. Math. China ›› 2025, Vol. 20 ›› Issue (2) : 91 -98. DOI: 10.3868/s140-DDD-025-0008-x
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Local Strassen’s law of the iterated logarithm for increments of a Brownian motion in Hölder norm

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Abstract

With the help of large deviation of Brownian motion in the Hölder norm, local Strassen’s law of the iterated logarithm for increments of a Brownian motion in the Hölder norm is investigated. This paper promotes the corresponding results by Gantert and Wei.

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Brownian motion / increments / local Strassen’s law of the iterated logarithm / Hölder norm

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Yonghong LIU, Weina WANG. Local Strassen’s law of the iterated logarithm for increments of a Brownian motion in Hölder norm. Front. Math. China, 2025, 20(2): 91-98 DOI:10.3868/s140-DDD-025-0008-x

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1 Introduction and main results

The limit theorems for Brownian motion and its increments are a widely studied, and many profound results have been established. For example, Gao and Wang [4] have studied the functional limit convergence rate of Brownian motion increments. Baldi et al. [1, 2, 5] have investigated Strassen’s theorem for Brownian motion under the Hölder norm. Wei [7] extended the results of Baldi et al. [1, Theorem 3.1] and obtained a functional limit theorem for C-R type increments of k-dimensional Brownian motion under the Hölder norm. There has also been research on the local limit theorem of Brownian motion. Wei [6] derived the functional modulus of continuity for Brownian motion under the Hölder norm. Gantert established the local Strassen law of the iterated logarithm for Brownian motion; see [3]. This paper investigates the local Strassen law of the iterated logarithm for the increments of Brownian motion under the Hölder norm. The results obtained by this paper generalize Theorem 3 in [3] and also extend the corresponding results of Wei [6, 7].

Let {w(t);t0} be a d-dimensional standard Brownian motion. Define C0[0,1]={f;f:[0,1]Rd,f(0)=0, and f is continuous} equipped with the uniform norm f∥=sup0t1|f(t)|. The following two Banach spaces are considered:

Cα={fC0[0,1]:∥f()α=sups,t[0,1],st|f(t)f(s)||ts|α<},

Cα,0={fCα:limδ0sups,t[0,1],0<|ts|<δ|f(t)f(s)||ts|α=0},

where 0<α<12. Define the space:

H={fCα,0:fis absolutely continuous, andfH2=01(f˙(s))2ds<}.

Then, H is a Hilbert space with the inner product:

f,g=01f˙(x)g˙(x)dx,f,gH.

Define the mapping I:Cα,0[0,] as follows:

I(f)={1201|f˙(t)|2dt,fH,+,otherwise.

Throughout this paper, let au,bu be two non-decreasing continuous functions from (0,1) to (0,1) satisfying

(i)aubu, u(0,1), and limu0au=0;

(ii)buau is non-increasing.

For u(0,1) and 0t1, define the trajectory Δ(t,u) as

Δ(t,u)(s)=w(but+aus)w(but),s[0,1].

Define

βu=(2aulogbulogbu1au)12,u(0,1),

and let

K={φH:2I(φ)1}.

The main results of this paper are stated as follows.

Theorem 1.1  If conditions (i) and (ii) are satisfied, then with probability 1, the family {βuΔ(t,u);u(0,1)} is relatively compact in Cα,0 as u0, and its set of limit points is K. That is,

limsupu0+supt[0,1aubu]βuΔ(t,u)()Kα=0,a.s.

and

liminfu0+inft[0,1aubu]βuΔ(t,u)()φα=0,a.s.for anyφK.

If the following additional condition holds:

(iii) limu0logbuauloglogbu1=+,

there is

limu0+inft[0,1aubu]βuΔ(t,u)()φα=0,a.s.for anyφK.

2 Proof of the theorem

The proof of the theorem is completed by the following lemmas.

Lemma 2.1 [1, Theorem 2.1]  For any Borel set ACα,0,

limsupε0ε2logP(εwA)Λ(A¯),liminfε0ε2logP(εwA)Λ(A),

where Λ(A)=inffAI(f).

Lemma 2.2 [7, Lemma 3]  Let FCα,0. Then

limsupε0ε2{logP{0tTh(εh(w(t+h)w(t))F)0tTh}+loghT}Λ(F),

where Λ(F)=inffFI(f), 0<hT.

Lemma 2.3  There exists a non-increasing sequence {un(0,1),nN} such that limnun0, and for any ε>0,

P(supt[0,bunaun+1]βun(w(t+aun)w(t))Kαε,i.o.)=0.

{un} will be defined in different cases in the proof.

Proof Define ={φCα,0:∥φKαε}, A is a closed set, and Λ(A)>12. Thus, there exists a sufficiently small δ>0such that Λ(A)>1+δ2 By Lemma 2.2, for sufficiently large n, there is

P(supt[0,bunaun+1]βun(w(t+aun)w(t))Kαε)=P(0t(bun+aunaun+1)aun(βun(w(t+aun)w(t))A))bun+aunaun+1aun(aunbunlogbun1)1+δ2.

Case (I): limsupu0logbuαuloglogbu1<.

If limsupu0logbuauloglogbu1<, then there exists a constant 0<M< such that

buau(logbu1)M(logau1)M.

Thus, 1logbu11logau1Mloglogau1. Choose un such that aun=exp(n(logn)3). Then

1logbun1(logn)3nM(logn)4.

From Equations (2.1) and (2.2) and the Borel-Cantelli Lemma, there is

P(supt[0,bunaun+1]βun(w(t+aun)w(t))Kαε,i.o.)=0.

Case (II): limsupu0logbuauloglogbu1=.

If limsupu0logbuauloglogbu1=, then choose un such that bunaun=np, where p>2δ. Using an argument similar to the proof of Case (I), the lemma is proved. □

Lemma 2.4  If conditions (i) and (ii) hold, then there is

limsupu0+supt[0,buau]βu(w(t+au)w(t))Kα=0,a.s.

Proof Define

ψt,u(s)=βu(w(t+aus)w(t)),s[0,1],t[0,buau].

Then,

ψt,u(s)=βuβunψt,un(auauns).

For any u(0,1), there exists n such that un+1<uun, and there is

supt[0,buau]ψt,u()Kα=supt[0,buau]inffKβuβunψt,un(auaun)f()αsupt[0,bunaun+1]inffKψt,un(auaun)f(auaun)α+inffKf(auaun)f()α+|βuβun1|supt[0,bunaun+1]ψt,un(auaun)α.

Since βu and logbulogbu1au are non-increasing, there is

βuβun+1βunβun+1=(aun+1logbun+1logbun+11aun+1aunlogbunlogbun1aun)12(aun+1aun)12.

Moreover, there exists a constant c>0 such that

f(auaun)f()αc(aunaun+11)α+12.

Case (I): limsupu0logbuαuloglogbu1<.

If limsupu0logbuauloglogbu1<, then bu0 (u0). For aun=exp(n(logn)3), it is verified that aunaun+11(n). Thus, by Lemma 2.3 and Equation (2.3), the result follows.

Case (II): limsupu0+logbuαuloglogbu1=.

If limsupu0+logbutαuloglogbu1 = , choose a non-increasing sequence {un;n1} such that bunaun=np,p>2δ. Define h(n)=logbunαunloglogbun1=plognloglogbun1, then bun1=exp{nph(n)}, h(n)(n). Thus, there is

1bunbun+1=exp((n+1)ph(n+1)nph(n))1,aunaun+11,n.

Therefore, Equation (2.3) is proved. □

Lemma 2.5  If conditions (i) and (ii) hold, then for any fK, there is

liminfu0βuΔ(1aubu,u)fα=0,a.s.

Proof Define u1=e1 and let ρ=limu0aubu.

If ρ<1 and bub0 (u0), then limu0logbuauloglogbu1=+. In this case, Lemma 2.7 implies that Equation (1.1) holds. Thus, the following two cases are considered: (I) ρ<1 and bu0 (u0); (II) ρ=1.

Case (I): ρ<1 and bu0 (u→ 0).

Choose uk such that

buk+1=bukauk,k1.

For any ε>0, by the scaling property, there is

P(βukΔ(1aukbuk,uk)fα<ε)=P((2logbuklogbuk1auk)12w()A),

where A={g;gfα<ε}. Since K is a compact set, it suffices to show that for φK, if 2I(φ)<1, the conclusion holds. If 2infgAI(g)<1, then choose η>0 such that σ=2infgAI(g)+η<1. By Lemma 2.1 (Large Deviation Principle), for sufficiently large k, there is

P(βukΔ(1aukbuk,uk)fα<ε)(aukbuklogbuk1)σ.

There exist constants k01 and c>0 such that

logbuk1buk11=log(1auk1buk1)cauk1buk1.

Thus,

k=k0+1N+1(auk1buk1logbuk11)σ(1logbN+11)σk=k0+1N+1auk1buk11c(1logbN+11)σk=k0+1N+1logbuk1buk11=1c(1logbN+11)σ(logbN+11logbuk01)(N).

Since the events {βunΔ(1αunbun,un)fαε} are independent for n1, by Borel-Cantelli’s Lemma, there is

liminfnβunΔ(1aunbun,un)fα=0,a.s.

Case (II): ρ=1.

If ρ=1, then au=bu. In this case, refer to [6, Theorem 1.2] for further details. □

Lemma 2.6  If conditions (i)‒(iii) hold, then for any fK, there is

limninft[0,bun+1aun]βun(w(t+aun)w(t))fα=0,a.s.

Proof Since limu0+logbuαuloglogbu1=, there exists a decreasing subsequence {un;n1} such that bunaun=np. Define ti=iaun for i=0,1,2,, and let kn=[bun+1aun]1. Also, define h(n)=logbunaunloglogbun1=lognploglogbun1. Then bun1=exp(nph(n)) and h(n)(n). Moreover, for any small α>0,(n+1)αlogbun+11, 1bunbun+1=exp{(n+1)ph(n+1)nph(n)}exp{nph(n)[(1+1n)ph(n)1]}exp{nph(n)(1+1n1)}=exp(nph(n)1)1(n), there is

P(inft[0,bun+1aun]βun(w(t+aun)w(t))fαε)P(min0iknβun(w(ti+aun)w(ti))fαε)=i=0knP(βun(w(ti+aun)w(ti))fαε)={1P((2logbunlogbun1aun)12wA)}1+kn,

where A={g;gfα<ε}. If 2infgAI(g)<1 then choose δ>0 such that μ=2infgAI(g)+δ<1. By Lemma 2.1 (Large Deviation Principle), for sufficiently large n, there is

P(inft[0,bun+1aun]βun(w(t+aun)w(t))fαε)exp{(aunbunlogbun1)μ[bun+1aun]}.

Choosing an appropriate p, it is ensured that n=1exp{(aunbunlogbun1)μ[bun+1aun]}<. By Borel-Cantelli Lemma, it follws that

limsupninft[0,bun+1aun]βun(w(t+aun)w(t))fα=0,a.s.

Lemma 2.7  For any fK, define ϕt,u(s)=βu(w(t+aus)w(t)), s[0,1], t[0,buau]. If

limsupninft[0,bun+1aun]ϕt,un()fα=0,a.s.,

then

limu0+inft[0,buau]ϕt,u()fα=0,a.s.,

where aun and bun are as defined in Lemma 2.6.

Proof Since φt,u(s)=βuβunφt,un(auauns), there is

inft[0,buau]ϕt,u()f()α=inft[0,buau]βuβunϕt,un(auaun)f()αinft[0,bun+1aun]ϕt,un(auaun)f(auaun)α+supt[0,bun+1aun]|βuβun1|ϕt,un(auaun)α+f(auaun)f()α.

Observing that

βuβunβun+1βun=(aunlogbunlogbun1aunaun+1logbun+1logbun+11aun+1)12(aunaun+1)12

and

f(auaun)f()α4(aunaun+11)α+1201|f˙(x)|2dx,

the proof of Lemma 2.7 is complete. □

References

[1]

Baldi P., Ben Arous, G. , Kerkyacharian, G.. Large deviations and the Strassen theorem in Hölder norm. Stochastic Process Appl. 1992; 42(1): 171–180

[2]

Baldi P. , Roynette, B.. Some exact equivalents for the Brownian motion in Hölder norm. Probab. Theory Related Fields 1992; 93(4): 457–484

[3]

Gantert N.. An inversion of Strassen’s law of the iterated logarithm for small time. Ann. Probab. 1993; 21(2): 1045–1049

[4]

Gao F.Q. , Wang, Q.H.. The rate of convergence in the functional limit theorem for increments of a Brownian motion. Statist. Probab. Lett. 2005; 73(2): 165–177

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Liu Y.H., Li, L.Q. , Wan, C.G.. The rate of convergence for increments of a Brownian motion in the Hölder norm. Statist. Probab. Lett. 2009; 79(12): 1463–1472

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Wei Q.C.. Functional modulus of continuity for Brownian motion in the Hölder norm. Chinese Ann. Math. Ser. B 2001; 22(2): 223–232

[7]

Wei Q.C.. Functional limit theorems for C-R increments of k-dimensional Brownian motion in the Hölder norm. Acta Math. Sin. (Chin. Ser.) 2002; 45(1): 117–126

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