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Localized Ito integral

Statement

Assume the Axiom of Choice and the standing hypothesis (H) of Elementary predictable Brownian integrands. Let H be a locally square-integrable predictable process with energy process A and canonical localization times (indexed by n1) τn=inf{t:Atn}n Locally square-integrable predictable Brownian integrands, and let M(n) denote the continuous version of the finite-energy integral H1(0,τn]dB The Ito integral process has a continuous martingale version. The filtration is assumed to satisfy the usual conditions, as required by the cited local-integrability definition. Choose the progressively measurable versions constructed in step 1.1 for these integrals and for the finite-energy integrals below. Continuity means continuity on a measurable probability-one event, and indistinguishability means equality at all times on such an event, as in that continuous-version theorem. Local square integrability and the canonical energy bounds are almost-sure assertions.

  1. Existence. There is an adapted process M=(Mt)t0 with continuous paths, called the localized Ito integral HB, such that for every n the stopped process Mτn is indistinguishable from M(n). Consequently M is a continuous local martingale relative to (Ft) with localizing sequence (τn), and for every n and t EMtτn2=EAtτnn.

  2. Characterization. If N is an adapted process with continuous paths and N0=0 such that Nτn is indistinguishable from M(n) for every n, then N is indistinguishable from M. In particular M is the unique continuous local martingale, up to indistinguishability, whose stopped finite-energy integrals are the M(n).

  3. Independence of the localizing sequence. Let (ρk) be a nondecreasing sequence of stopping times with ρk almost surely and E0tHs21(0,ρk](s)ds< for all k and all finite t, and let N be an adapted process with continuous paths and N0=0 such that Nρk is indistinguishable from the finite-energy integral of H1(0,ρk] for every k. Then N is indistinguishable from M.

  4. Stopping identity for finite-energy integrands. If G is a predictable process with E0TG2ds< and GB denotes its continuous version The Ito integral process has a continuous martingale version, with the same progressive version convention (extending G by zero after T), then for every stopping time σ and every 0tT (GB)tσ=0tGs1(0,σ](s)dBsalmost surely, and the two sides are continuous processes on [0,T], hence indistinguishable there. A global identity follows by applying this clause on each finite horizon when G has finite energy on every finite horizon. This clause is the finite-energy stopping identity used by item 17.

Facts & Assumptions

Given: AC, the standing hypothesis (H), a locally square-integrable predictable H with energy A and canonical times τn, finite-energy predictable integrands G,Gk, stopping times σ,ρk, and the continuous versions GB and M(n) of items 13 and 15.

[F1]

H1(0,τn] is predictable and has finite energy EAtτnn, so its integral has a continuous version M(n) with E(Mt(n))2=EAtτn; the times (τn) are nondecreasing stopping times with τn a.s. Locally square-integrable predictable Brownian integrands The Ito integral process has a continuous martingale version

[F2]

For a finite-energy predictable G the continuous version GB satisfies GB=0tGdB at every deterministic t, and EsuptT(GB)t24E0TG2ds; hence (GB)tσ and the integrals of approximating integrands are controlled by the L2(dtP) distance. The Ito integral process has a continuous martingale version Doob maximal bound for the Ito integral

[F3]

For elementary predictable G the defining sum is a continuous process and the general integral of G1[0,t] equals that sum at every deterministic t; elementary integrals are linear on a common refinement, and G1[0,t] for elementary G is elementary on the refinement containing t. Ito integral of an elementary predictable process Ito integral for square-integrable predictable processes

[F4]

Every finite-energy predictable G is the L2(dtP)-limit of bounded elementary integrands, and the integral map is an isometry: 0T(GJ)dB2=GJL2(dtP). Density of elementary predictable processes in predictable L2 Ito isometry and linearity in predictable L2

[F5]

For a stopping time σ the indicator 1[0,σ] is predictable and every truncation 1[0,t] is predictable; products of predictable processes are predictable. Progressively measurable and predictable processes

[F6]

Finite pointwise limits of measurable functions, set to zero where no finite limit exists, are measurable. Almost-sure convergence dominated by an Lp random variable gives Lp convergence. Sequential suprema, infima, limsup, liminf, and pointwise limits of measurable functions are measurable Dominated convergence in Lp

[F7]

AC supplies countable selections of versions and approximating sequences; the localization times themselves are canonical. The Axiom of Choice AC supplies countable selections and prescribed serial paths

Proof

technique · direct
1.1

Measurable versions and stopping: for an adapted process X with almost-sure continuous paths and X0=0 almost surely, define X0j=0 and Xsj=Xk2j on (k2j,(k+1)2j], k0. For each finite horizon these step processes are progressive by [F5]'s predictable generators and predictable-to-progressive inclusion: the coefficient is measurable at the left endpoint, so its inverse images give the required rectangles. Put X^s=limjXsj where this limit exists finitely, and zero otherwise. By [F6] on each product sigma-algebra, X^ is progressive. It equals X at every time on the measurable full event of continuity and zero start. Thus it preserves every deterministic-time integral class and martingale identity. A progressive Y has adapted stopped values: for fixed t, r=tσ is Ft-measurable, and the map ω(r(ω),ω) into [0,t]×Ω is measurable into B([0,t])Ft by rectangle inverse images. Composition with the progressive restriction of Y gives YtσFt. Choose this construction for every finite-energy integral used below; [F7] permits the countably many required choices. All sequences indexed by positive integers are reindexed by n=j+1 when applying an interface indexed from zero.

F2F5F6F7given
2.1

Clause 4 for elementary G and finite-valued σ: refine the partition of G so that it contains the finitely many values of σ and the point t; on each block (tk,tk+1] the indicator 1sσ is constant in s with value 1σtk+1, and {σ<tk+1}={σtk}Ftk because σ takes only partition values, so G1[0,σ]1[0,t] is elementary with coefficients ξk1σtk+1; its defining sum is kξk1σtk+1(Btk+1tBtkt), which term-by-term equals kξk(B(tσ)tk+1B(tσ)tk)=(GB)tσ on the measurable full event where the progressive version agrees with the elementary sum at all times, by step 1.1.

F3F5givenstep 1.1
3.1

Clause 4 for elementary G and arbitrary σ: let σm:=2m2m(σm) be the dyadic ceiling of the bounded stopping time σm, a finite-valued stopping time with σmσm and σmσ; by step 2.1 and [F3], (GB)tσm=IT(G1[0,σm]1[0,t]) for every m.

F3step 2.1
4.1

As m: (GB)tσm(GB)tσ in L2(P) by continuity of the path and the maximal bound [F2] with [F6] (the measurable grid supremum of [F2] supplies the dominating random variable); and IT(G1[0,σm]1[0,t])IT(G1[0,σ]1[0,t]) in L2(P) because their indicators converge for Lebesgue-almost every time (the possible boundary s=σ is irrelevant), and they are dominated by G1[0,t]L2, and the integral is an isometry [F4]. Hence (GB)tσ=0tG1(0,σ]dB almost surely for elementary G and every stopping time σ.

F2F4F6step 1.1step 3.1
5.1

Clause 4 for general finite-energy G: approximate G by bounded elementary Gj in L2(dtP) [F4]; then (GjB)tσ(GB)tσ in L2(P) by the maximal bound [F2], and 0tGj1(0,σ]dB0tG1(0,σ]dB by the isometry and Gj1(0,σ]G1(0,σ]GjG; passing to the limit in the identities of step 4.1 gives clause 4 in general, and since both sides are continuous in t and agree at every deterministic t almost surely, they are indistinguishable.

F2F4step 4.1
6.1

Agreement of stopped finite-energy integrals (clause 1, first assertion): for mn apply clause 4 to G:=H1(0,τm], which has finite energy EAtτmm by [F1], and to the stopping time τn: (M(m))tτn=(GB)tτn=0tG1(0,τn]dB=0tH1(0,τn]dB=Mt(n) almost surely for every t, using 1[0,τn]1(0,τm]=1(0,τn] because τnτm. Both sides are continuous, so (M(m))τn and M(n) are indistinguishable.

F1step 5.1
7.1

Construction of M: put Mt:=limnMt(n) where the limit exists finitely, and zero otherwise. This is progressive by [F6] applied on every finite-horizon product sigma-algebra, since each M(n) was chosen progressive in step 1.1. In particular M0=0 everywhere and its stopped values are adapted by step 1.1. On the event A where all the agreements of step 6.1 hold, every M(n) is continuous and τn, fix ω and t; choose n with τn(ω)t; then for every mn, Mt(m)=Mtτn(m)=Mt(n) by step 6.1, so the sequence is eventually constant and Mt(ω)=Mt(n)(ω). Hence on A the process M agrees on [0,τn(ω)] with the continuous path of M(n), so M has continuous paths on the full-measure event A.

F1F6step 1.1step 6.1
8.1

M is a local martingale with localizing sequence (τn): by step 6.1 and the definition of M on A, Mτn is indistinguishable from M(n), and M(n) is a martingale. Since Mτn is adapted by step 1.1 and has the same deterministic-time values almost surely, it is itself a martingale; moreover EMtτn2=E(Mt(n))2=EAtτnn by [F1].

F1step 6.1step 7.1
9.1

Clauses 2 and 3: if N is continuous with N0=0 and Nτn=M(n) for all n, then for each t and each n with τnt one has Nt=Ntτn=Mt(n)=Mt almost surely, and letting n along the full-measure event where τn gives Nt=Mt almost surely for every t; continuity and the rationals argument make N indistinguishable from M. For clause 3, apply clause 4 twice: for each k,n, (Nρk)τn=(GkB)τn=0tGk1(0,τn]dB and (M(n))ρk=(GnB)ρk=0tGn1(0,ρk]dB with Gk=H1(0,ρk], Gn=H1(0,τn], and both integrands equal H1(0,ρkτn]; hence N(ρkτn) and M(ρkτn) are indistinguishable, and for each t on the full-measure event where ρkτnt eventually, Nt=Mt almost surely; continuity gives indistinguishability. The countable intersections of full events give the simultaneous identities; AC supplies the choices of versions and approximations through [F7].

F5F7step 5.1step 6.1step 8.1

Source notes

Van der Vaart proves the finite-energy stopping lemma (Lemma 5.28), the agreement of stopped integrals on overlaps (Lemma 5.33) and the existence of the localized continuous version (Theorem 5.36) in this order. Clause 4 is the stopping lemma in the form needed here; clauses 1--3 are Theorem 5.36 with the canonical energy times of Definition 5.32, and the agreement of stopped integrals is derived by applying the stopping lemma at the pairwise minimum of the two localization times.

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