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An L1 maximal bound for finite-energy Brownian Itô integrals

Statement

Assume AC. Work on a complete filtered probability space (Ω,F,(Ft)0≤t≤T,P) whose filtration is right-continuous and contains every P-null subset of F in F0. Let m≥1 be finite, let W=(W1,…,Wm) be an adapted standard m-dimensional Brownian motion d-dimensional Brownian motion whose increments after time s are independent of Fs, and let H=(H1,…,Hm) be a predictable row-vector process Progressively measurable and predictable processes with E∫0T∥Hs∥22ds<∞. For Mt=∑j=1m∫0tHsj dWsj, the continuous version satisfies Esup⁡0≤t≤T∣Mt∣≤16m E(∫0T∥Hs∥22ds)1/2.

Facts & Assumptions

Given: AC; the complete usual filtered probability space, adapted Brownian motion and increment-independence hypotheses above; and the predictable finite-energy integrand.

[F1]

For a real Brownian Itô integral Nt=∫0tKs dBs with finite energy and Brownian increments independent of the current filtration, Esup⁡t≤T∣Nt∣2≤4E∫0TKs2ds. Doob maximal bound for the Ito integral

[F2]

Stopping a finite-energy Itô integral at a stopping time agrees, up to indistinguishability, with integrating the predictable stopped integrand. Stopping an Ito integral

[F3]

The coordinates of a standard finite-dimensional Brownian motion are independent standard one-dimensional Brownian motions. d-dimensional Brownian motion

[F4]

The predictable sigma-algebra is generated by rectangles (s,u]×C with C∈Fs and by the time-zero sets; for any stopping time ρ, the indicator process 1[0,ρ] is predictable. Progressively measurable and predictable processes Continuous-time stopping times and stopped sigma-algebras Progressively measurable and predictable processes

[F5]

The finite-energy Itô integral is an isometry from predictable L2 into mean-zero L2 random variables. Ito isometry and linearity in predictable L2

[F6]

An elementary predictable integrand has integral equal to its defining finite sum over Brownian increments. Ito integral of an elementary predictable process

[F7]

Bounded elementary predictable integrands are dense in predictable L2([0,T]×Ω). Density of elementary predictable processes in predictable L2

[F8]

For a nonnegative measurable function, the integral over a product space equals either iterated integral; applied to 1{(λ,ω):λ<Z(ω)}, this gives EZ=∫0∞P(Z>λ) dλ. Tonelli's theorem for nonnegative measurable functions on a sigma-finite product

[F9]

A map ρ is a stopping time when {ρ≤t}∈Ft for every t≥0, and A∈Fρ when A∩{ρ≤t}∈Ft for every t≥0. Continuous-time stopping times and stopped sigma-algebras

[F10]

For a continuous adapted real process, its supremum on a compact interval equals its supremum over rational times in the interval together with the right endpoint, and is measurable in the terminal sigma-algebra. The rationals embed densely in the reals

[F11]

Dominated convergence applies to the product-measure limit below: the squared difference of the stopped-interval indicators times H2 tends to zero almost everywhere and is bounded by the integrable function H2. Dominated convergence

[A1]

AC is stated because the Brownian, Itô-integral, stopping and maximal-inequality interfaces in [F1]–[F4] adopt it. The Axiom of Choice

Proof

1.1F1F4given

If T=0, both sides vanish. Henceforth T>0. For stopping-time notation only, extend the filtration by Ft=FT for t>T; it remains complete and right-continuous, and the predictable sigma-algebra on [0,T] is unchanged by [F4]. All Brownian integrals and estimates below are on [0,T]; no Brownian property for this extension after T is asserted or used. First take m=1 and write B=W1. On the common null exceptional set, set M and Q to zero; completeness keeps them adapted and makes their paths continuous everywhere. This changes no integral class. Put Qt=∫0tHs2ds and M∗=sup⁡t≤T∣Mt∣. The continuous version makes M∗ measurable, and [F1] gives E(M∗)2≤4EQT<∞, so EM∗<∞.

1.2givenF4F9F10

Fix λ>0. Let τ be the first time ∣Mt∣≥λ, capped at T, and put Aλ={M∗≥λ}. Continuity and adaptation make τ a stopping time by [F9]–[F10], and Aλ∈Fτ: for each t<T, Aλ∩{τ≤t}={sup⁡s≤t∣Ms∣≥λ}, whose supremum is measurable by [F10]; for t≥T, the intersection is Aλ∈FT⊆Ft by the same terminal supremum fact. Let Rt=Qt−Qt∧τ; this is continuous and adapted. Let σ be its first hitting time of δ2λ2, capped at T; it is a stopping time by [F9]–[F10], where 0<δ≤1/4. The set Aλ∩{τ<s} is the countable union, over rational u>0, of (u,∞)×(Aλ∩{τ≤u}). Each second factor belongs to Fu by Aλ∈Fτ. Thus it is predictable; intersecting with {s≤σ} preserves predictability by [F4].

2.1F1F2F5F6F7F8F11step 1.2algebra

Define Nt=∫0t1Aλ1(τ,σ](s)Hs dBs. For each n, let Gn={jT2−n:0≤j≤2n} and round τ,σ upward to their least grid points τn,σn∈Gn. They are stopping times because {τn≤t}=⋃q∈Gn, q≤t{τ≤q}∈Ft, and likewise for σn; monotonicity of the ceiling map gives τn≤σn and τn↓τ, σn↓σ. Since Aλ∈Fτ and τ≤τn, one has Aλ∈Fτn: for every t, Aλ∩{τn≤t}=(Aλ∩{τ≤t})∩{τn≤t}∈Ft. For an elementary predictable integrand on a refinement of this grid, the coefficient on (tk,tk+1] after multiplying by 1Aλ1(τn,σn] is measurable at tk: the active event {τn≤tk<σn} is in Ftk, and Aλ∩{τn≤tk} is in Ftk. Thus the finite-sum definition [F6] gives ∫0t1Aλ1(τn,σn]Hs dBs=1Aλ(Mt∧σn−Mt∧τn) for elementary H. For general predictable H, approximate in predictable L2 by elementary Hk using [F7]. The isometry [F5] passes the left side to its limit in L2(P), and [F1] applied to Hk−H gives Esup⁡t≤T∣Mtk−Mt∣2→0, passing the stopped evaluations on the right to their limits for this fixed grid. As n→∞, the interval indicators converge outside the graphs of τ and σ, which are dt⊗P-null by Tonelli [F8]. Dominated convergence [F11] with majorant H2 and the isometry [F5] pass the identity to (τ,σ]. Continuity gives convergence of the right side to 1Aλ(Mt∧σ−Mt∧τ) almost surely for each fixed t, proving the required stopped-integral identity entirely on [0,T]. Both sides have continuous versions, so their equality at the countable rational times and continuity give equality up to indistinguishability. The accumulated energy of the integrand is at most δ2λ21Aλ on every path. Thus [F1] gives Esup⁡t≤T∣Nt∣2≤4δ2λ2P(Aλ). On {M∗>2λ, QT1/2<δλ} the threshold defining σ is not reached before T, and after the first hit of λ the continuous path moves by more than λ. Hence sup⁡t≤T∣Nt∣>λ on that event. Markov's inequality and the preceding display yield P(M∗>2λ, QT1/2<δλ)≤4δ2P(M∗≥λ).

3.1F8step 1.1step 2.1algebra

Split the event {M∗>2λ} according to whether QT1/2≥δλ. The bound in step 2.1 gives P(M∗>2λ)≤P(QT1/2≥δλ)+4δ2P(M∗≥λ). For any nonnegative Z, the integrals of 1{λ<Z} and 1{λ≤Z} over λ>0 agree pathwise, since they differ at at most one point. Integrating this inequality over λ>0 and applying Tonelli [F8] to 1{(λ,ω):λ<M∗(ω)} and 1{(λ,ω):λ<QT(ω)1/2} gives EM∗≤2δEQT1/2+8δ2EM∗. With δ=1/4, the last coefficient is 1/2, so EM∗≤16EQT1/2.

4.1A1F3step 3.1algebra∎

For general finite m, write M=∑j=1mMj with Mtj=∫0tHsj dWsj. Apply the scalar result of step 3.1 to each coordinate and then the finite-sum Cauchy–Schwarz inequality pathwise: Esup⁡t≤T∣Mt∣≤16∑j=1mE(∫0T∣Hsj∣2ds)1/2≤16m E(∫0T∑j=1m∣Hsj∣2ds)1/2. This is the claimed estimate. AC enters only through [A1] and the cited Brownian and Itô interfaces.

Source notes

The proof is a local good-lambda derivation from the published L2 Doob maximal bound and a finite-grid proof of the stopped-integral identity on [0,T]. It supplies the L1 maximal estimate used in the H-M-S energy proof; no general BDG theorem is imported without proof.

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