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Localized Ito integral
Statement
Assume the Axiom of Choice and the standing hypothesis (H) of Elementary predictable Brownian integrands. Let be a locally square-integrable predictable process with energy process and canonical localization times (indexed by ) Locally square-integrable predictable Brownian integrands, and let denote the continuous version of the finite-energy integral 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.
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Existence. There is an adapted process with continuous paths, called the localized Ito integral , such that for every the stopped process is indistinguishable from . Consequently is a continuous local martingale relative to with localizing sequence , and for every and
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Characterization. If is an adapted process with continuous paths and such that is indistinguishable from for every , then is indistinguishable from . In particular is the unique continuous local martingale, up to indistinguishability, whose stopped finite-energy integrals are the .
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Independence of the localizing sequence. Let be a nondecreasing sequence of stopping times with almost surely and for all and all finite , and let be an adapted process with continuous paths and such that is indistinguishable from the finite-energy integral of for every . Then is indistinguishable from .
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Stopping identity for finite-energy integrands. If is a predictable process with and denotes its continuous version The Ito integral process has a continuous martingale version, with the same progressive version convention (extending by zero after ), then for every stopping time and every and the two sides are continuous processes on , hence indistinguishable there. A global identity follows by applying this clause on each finite horizon when 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 with energy and canonical times , finite-energy predictable integrands , stopping times , and the continuous versions and of items 13 and 15.
is predictable and has finite energy , so its integral has a continuous version with ; the times are nondecreasing stopping times with a.s. Locally square-integrable predictable Brownian integrands The Ito integral process has a continuous martingale version
For a finite-energy predictable the continuous version satisfies at every deterministic , and ; hence and the integrals of approximating integrands are controlled by the distance. The Ito integral process has a continuous martingale version Doob maximal bound for the Ito integral
For elementary predictable the defining sum is a continuous process and the general integral of equals that sum at every deterministic ; elementary integrals are linear on a common refinement, and for elementary is elementary on the refinement containing . Ito integral of an elementary predictable process Ito integral for square-integrable predictable processes
Every finite-energy predictable is the -limit of bounded elementary integrands, and the integral map is an isometry: . Density of elementary predictable processes in predictable L2 Ito isometry and linearity in predictable L2
For a stopping time the indicator is predictable and every truncation is predictable; products of predictable processes are predictable. Progressively measurable and predictable processes
Finite pointwise limits of measurable functions, set to zero where no finite limit exists, are measurable. Almost-sure convergence dominated by an random variable gives convergence. Sequential suprema, infima, limsup, liminf, and pointwise limits of measurable functions are measurable Dominated convergence in
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
Measurable versions and stopping: for an adapted process with almost-sure continuous paths and almost surely, define and on , . 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 where this limit exists finitely, and zero otherwise. By [F6] on each product sigma-algebra, is progressive. It equals 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 has adapted stopped values: for fixed , is -measurable, and the map into is measurable into by rectangle inverse images. Composition with the progressive restriction of gives . 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 when applying an interface indexed from zero.
Clause 4 for elementary and finite-valued : refine the partition of so that it contains the finitely many values of and the point ; on each block the indicator is constant in with value , and because takes only partition values, so is elementary with coefficients ; its defining sum is , which term-by-term equals on the measurable full event where the progressive version agrees with the elementary sum at all times, by step 1.1.
Clause 4 for elementary and arbitrary : let be the dyadic ceiling of the bounded stopping time , a finite-valued stopping time with and ; by step 2.1 and [F3], for every .
As : in by continuity of the path and the maximal bound [F2] with [F6] (the measurable grid supremum of [F2] supplies the dominating random variable); and in because their indicators converge for Lebesgue-almost every time (the possible boundary is irrelevant), and they are dominated by , and the integral is an isometry [F4]. Hence almost surely for elementary and every stopping time .
Clause 4 for general finite-energy : approximate by bounded elementary in [F4]; then in by the maximal bound [F2], and by the isometry and ; passing to the limit in the identities of step 4.1 gives clause 4 in general, and since both sides are continuous in and agree at every deterministic almost surely, they are indistinguishable.
Agreement of stopped finite-energy integrals (clause 1, first assertion): for apply clause 4 to , which has finite energy by [F1], and to the stopping time : almost surely for every , using because . Both sides are continuous, so and are indistinguishable.
Construction of : put where the limit exists finitely, and zero otherwise. This is progressive by [F6] applied on every finite-horizon product sigma-algebra, since each was chosen progressive in step 1.1. In particular everywhere and its stopped values are adapted by step 1.1. On the event where all the agreements of step 6.1 hold, every is continuous and , fix and ; choose with ; then for every , by step 6.1, so the sequence is eventually constant and . Hence on the process agrees on with the continuous path of , so has continuous paths on the full-measure event .
is a local martingale with localizing sequence : by step 6.1 and the definition of on , is indistinguishable from , and is a martingale. Since is adapted by step 1.1 and has the same deterministic-time values almost surely, it is itself a martingale; moreover by [F1].
Clauses 2 and 3: if is continuous with and for all , then for each and each with one has almost surely, and letting along the full-measure event where gives almost surely for every ; continuity and the rationals argument make indistinguishable from . For clause 3, apply clause 4 twice: for each , and with , , and both integrands equal ; hence and are indistinguishable, and for each on the full-measure event where eventually, 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].
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.
Depends on
- Locally square-integrable predictable Brownian integrands
- The Ito integral process has a continuous martingale version
- Doob maximal bound for the Ito integral
- Ito isometry and linearity in predictable L2
- Ito integral for square-integrable predictable processes
- Density of elementary predictable processes in predictable L2
- Ito integral of an elementary predictable process
- Elementary predictable Brownian integrands
- Continuous-time adapted processes and martingales
- Continuous-time stopping times and stopped sigma-algebras
- Process law, modification, and indistinguishability
- Progressively measurable and predictable processes
- Monotone convergence for the integral
- The rationals embed densely in the reals
- The Axiom of Choice
- AC supplies countable selections and prescribed serial paths
- Sequential suprema, infima, limsup, liminf, and pointwise limits of measurable functions are measurable
- Dominated convergence in $L^p$
Used by
- Cadlag Brownian-filtration local martingales have continuous versions Corollary
- Square-integrable Brownian terminal variables have Ito representations Corollary
- The Brownian square martingale Corollary
- The exponential Brownian martingale Corollary
- The ordinary chain rule fails for Brownian motion Counterexample
- Continuous Brownian Ito processes Definition
- Harmonic functions of planar Brownian motion Example
- Ito versus Stratonovich boundary Remark
- Brownian-filtration martingale representation Theorem
- Integration by parts for Brownian Ito processes Theorem
- Multidimensional Ito formula for Brownian-driven processes Theorem
- One-dimensional Ito formula Theorem
- Quadratic covariation of Brownian Ito processes Theorem
- Quadratic variation of an Ito integral Theorem
- Space-time harmonic functions yield Brownian local martingales up to exit lifetime Theorem
- Stopping an Ito integral Theorem
Dependency tree · two levels
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Sources
- Aad van der Vaart, Martingales, Diffusions and Financial Mathematics, Lemma 5.28, Lemma 5.33 and Theorem 5.36 (standard reference, not scraped)