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An L1 maximal bound for finite-energy Brownian Itô integrals
Statement
Assume AC. Work on a complete filtered probability space whose filtration is right-continuous and contains every -null subset of in . Let be finite, let be an adapted standard -dimensional Brownian motion -dimensional Brownian motion whose increments after time are independent of , and let be a predictable row-vector process Progressively measurable and predictable processes with . For the continuous version satisfies
Facts & Assumptions
Given: AC; the complete usual filtered probability space, adapted Brownian motion and increment-independence hypotheses above; and the predictable finite-energy integrand.
For a real Brownian Itô integral with finite energy and Brownian increments independent of the current filtration, . Doob maximal bound for the Ito integral
Stopping a finite-energy Itô integral at a stopping time agrees, up to indistinguishability, with integrating the predictable stopped integrand. Stopping an Ito integral
The coordinates of a standard finite-dimensional Brownian motion are independent standard one-dimensional Brownian motions. -dimensional Brownian motion
The predictable sigma-algebra is generated by rectangles with and by the time-zero sets; for any stopping time , the indicator process is predictable. Progressively measurable and predictable processes Continuous-time stopping times and stopped sigma-algebras Progressively measurable and predictable processes
The finite-energy Itô integral is an isometry from predictable into mean-zero random variables. Ito isometry and linearity in predictable L2
An elementary predictable integrand has integral equal to its defining finite sum over Brownian increments. Ito integral of an elementary predictable process
Bounded elementary predictable integrands are dense in predictable . Density of elementary predictable processes in predictable L2
For a nonnegative measurable function, the integral over a product space equals either iterated integral; applied to , this gives . Tonelli's theorem for nonnegative measurable functions on a sigma-finite product
A map is a stopping time when for every , and when for every . Continuous-time stopping times and stopped sigma-algebras
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
Dominated convergence applies to the product-measure limit below: the squared difference of the stopped-interval indicators times tends to zero almost everywhere and is bounded by the integrable function . Dominated convergence
AC is stated because the Brownian, Itô-integral, stopping and maximal-inequality interfaces in [F1]–[F4] adopt it. The Axiom of Choice
Proof
If , both sides vanish. Henceforth . For stopping-time notation only, extend the filtration by for ; it remains complete and right-continuous, and the predictable sigma-algebra on is unchanged by [F4]. All Brownian integrals and estimates below are on ; no Brownian property for this extension after is asserted or used. First take and write . On the common null exceptional set, set and to zero; completeness keeps them adapted and makes their paths continuous everywhere. This changes no integral class. Put and . The continuous version makes measurable, and [F1] gives , so .
Fix . Let be the first time , capped at , and put . Continuity and adaptation make a stopping time by [F9]–[F10], and : for each , , whose supremum is measurable by [F10]; for , the intersection is by the same terminal supremum fact. Let ; this is continuous and adapted. Let be its first hitting time of , capped at ; it is a stopping time by [F9]–[F10], where . The set is the countable union, over rational , of . Each second factor belongs to by . Thus it is predictable; intersecting with preserves predictability by [F4].
Define For each , let and round upward to their least grid points . They are stopping times because , and likewise for ; monotonicity of the ceiling map gives and , . Since and , one has : for every , . For an elementary predictable integrand on a refinement of this grid, the coefficient on after multiplying by is measurable at : the active event is in , and is in . Thus the finite-sum definition [F6] gives for elementary . For general predictable , approximate in predictable by elementary using [F7]. The isometry [F5] passes the left side to its limit in , and [F1] applied to gives , passing the stopped evaluations on the right to their limits for this fixed grid. As , the interval indicators converge outside the graphs of and , which are -null by Tonelli [F8]. Dominated convergence [F11] with majorant and the isometry [F5] pass the identity to . Continuity gives convergence of the right side to almost surely for each fixed , proving the required stopped-integral identity entirely on . 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 on every path. Thus [F1] gives On the threshold defining is not reached before , and after the first hit of the continuous path moves by more than . Hence on that event. Markov's inequality and the preceding display yield
Split the event according to whether . The bound in step 2.1 gives For any nonnegative , the integrals of and over agree pathwise, since they differ at at most one point. Integrating this inequality over and applying Tonelli [F8] to and gives With , the last coefficient is , so .
For general finite , write with . Apply the scalar result of step 3.1 to each coordinate and then the finite-sum Cauchy–Schwarz inequality pathwise: 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 Doob maximal bound and a finite-grid proof of the stopped-integral identity on . It supplies the maximal estimate used in the H-M-S energy proof; no general BDG theorem is imported without proof.
Depends on
- Doob maximal bound for the Ito integral
- Stopping an Ito integral
- Ito isometry and linearity in predictable L2
- Ito integral for square-integrable predictable processes
- Ito integral of an elementary predictable process
- Density of elementary predictable processes in predictable L2
- Tonelli's theorem for nonnegative measurable functions on a sigma-finite product
- Dominated convergence
- Progressively measurable and predictable processes
- $d$-dimensional Brownian motion
- Continuous-time stopping times and stopped sigma-algebras
- The rationals embed densely in the reals
- The Axiom of Choice
Used by
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