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Elementary predictable Brownian integrands
Definition
Assume the Axiom of Choice The Axiom of Choice, and fix a probability space with a continuous-time filtration Continuous-time filtrations and all-pairs martingales and a standard Brownian motion Brownian motion on it. Standing hypothesis (H). is adapted to and for all the increment is independent of and has law . The raw natural filtration and the usual augmented natural filtration Natural and usual augmented Brownian filtrations both satisfy (H) for a standard Brownian motion, by Future-path Markov property; for a general filtration, (H) is part of the data and is not automatic. Every statement in this development names (H) when it is used.
Throughout, fix a finite horizon . An elementary predictable Brownian integrand on is a process of the form where is a finite partition of , each is a bounded real -measurable random variable, and the values at the partition points are irrelevant because the intervals are left-open and right-closed. The mesh of the representation is , and the supremum norm of the representation is . The integrand itself is the process ; a second list of the same name with different coefficients is the same elementary integrand only if the two processes coincide in the almost-everywhere sense made precise below.
The following properties are part of the definition and are used at once.
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Predictability. is predictable Progressively measurable and predictable processes. Indeed, for a Borel set , a finite union of generators of the predictable sigma-algebra because and is a time-zero generator. Consequently is progressively measurable and measurable for the product sigma-algebra , and belongs to : with one has .
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Endpoint and null-set conventions. Replacing the intervals by makes the value at zero for every elementary integrand. More generally, if two elementary integrands agree for all except at finitely many deterministic times, then they agree -almost everywhere, since a finite set of times is Lebesgue-null and Tonelli computes . All integrands and all integrals below are therefore elements of the quotient spaces of and ; a claim about a process is a claim about its almost-everywhere class unless a representative is explicitly named, and path statements name the continuous representative.
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Deterministic coefficients. If every is a deterministic real number, is a deterministic step function on , so the elementary integrands include all step functions with deterministic coefficients. These are the integrands for which the integral is a Gaussian variable below.
The Axiom of Choice is declared because the Brownian construction and the conditional-expectation interface used in items 6, 7 and 13 assume it; the definition itself, including the predictability computation of clause 1, uses no choice. The countable-choice obligations inherited from that interface are declared as dependencies of this item.
Depends on
Used by
- Deterministic Ito integrals are Gaussian Corollary
- The Brownian square martingale Corollary
- The exponential Brownian martingale Corollary
- A nonadapted step integrand breaks the Ito isometry Counterexample
- An unbounded stopped exponential martingale needs uniform integrability Counterexample
- The ordinary chain rule fails for Brownian motion Counterexample
- Continuous Brownian Ito processes Definition
- Ito integral for square-integrable predictable processes Definition
- Ito integral of an elementary predictable process Definition
- Locally square-integrable predictable Brownian integrands Definition
- The Brownian differential generator Definition
- A deterministic step integrand Example
- Expected exit time from an interval Example
- Exponential martingale Brownian tail bound Example
- Harmonic functions of planar Brownian motion Example
- Hitting probabilities from an exponential martingale Example
- Indicator of a stopping interval Example
- Integral of Brownian motion against itself Example
- Ito formula for Brownian powers Example
- Logarithm of geometric Brownian motion Example
- Cross Ito isometry Lemma
- Elementary Ito integrals do not depend on step representation Lemma
- The general Ito integral is well defined Lemma
- Ito versus Stratonovich boundary Remark
- Brownian-filtration martingale representation Theorem
- Density of elementary predictable processes in predictable L2 Theorem
- Doob maximal bound for the Ito integral Theorem
- Integration by parts for Brownian Ito processes Theorem
- Ito isometry and linearity in predictable L2 Theorem
- Ito isometry for elementary integrands Theorem
- Levy characterization of Brownian motion Theorem
- Localized Ito integral 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
- The Ito integral process has a continuous martingale version Theorem
Dependency tree · two levels
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Sources
- Gregory F. Lawler, Stochastic Calculus: An Introduction with Applications, Section 3.2.2 (standard reference, not scraped)