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Doob decomposition of an integrable adapted process
Statement
Assume AC. Every integrable adapted real has a unique Doob decomposition up to almost-sure equality at each time. It is given by and Two decompositions agree outside a single measurable null set at all times. The normalization is that of Compensator and doob decomposition.
Facts & Assumptions
Given: The hypotheses and conventions in the statement.
Under AC every integrable input has a measurable integrable conditional version. Conditional expectation as an ae class.
Finite linear combinations remain integrable and their integrals are linear. The Lebesgue integral is linear on .
Finite real arithmetic preserves measurability. Arithmetic and lattice operations preserve measurability whenever they are defined.
Conditional expectation is linear, order preserving and expectation preserving. Basic algebra and order properties of conditional expectation.
An integrable variable measurable for the conditioning sigma-algebra conditions to itself. Conditioning a known variable and an independent variable.
Martingales have conditionally centered increments, and sums of such increments with an integrable known initial value are martingales. Martingales and martingale differences correspond.
Countable measurable null unions are null. Finite and countable subadditivity of measures.
AC supplies the inherited conditional-expectation existence and any stated choice of versions. The Axiom of Choice.
Proof
First repair the integral foundation inherited by RN and conditional expectation. Augment any finite disjoint display of a nonnegative simple function by the complement with coefficient . Intersections of two augmented displays partition the whole space and have equal coefficients wherever nonempty, so finite additivity and prove representation independence. Common refinements give simple monotonicity and additivity; handle scalar directly and positive scalars termwise. Supremum over simple minorants and the sets , , give monotone convergence; increasing simple approximations then give nonnegative additivity. Positive/negative and real/imaginary decompositions give finite linearity. With these facts substituted at the affected foundation, the cited RN proof gives its density, and its event-integral existence and uniqueness argument gives the conditional-expectation class and algebra in [F1], [F4] and [F5]. Each is therefore real measurable and integrable, since . AC permits choosing a finite real integrable -measurable version of its conditional expectation for every . Set , , and . For one has ; therefore is predictable for . Finite sums and differences show that is integrable and is adapted and integrable.
The increment has conditional expectation given , by linearity and known-variable conditioning. Since is integrable and -measurable, [F6] makes a martingale. The displayed decomposition holds pointwise for the chosen representatives.
If is another normalized decomposition, then is integrable and -measurable: for use , and for use predictability and nesting. Conditioning the decomposition increment and using the zero martingale drift gives a.s. Thus these increments equal a.s. Induction from zero gives and then a.s. for each . The sets where either equality fails are ambient measurable null sets; their countable union is null by [F7]. Off that one set both entire sequences agree. No completeness of the filtration is used.
Depends on
- Compensator and doob decomposition
- Martingales and martingale differences correspond
- Conditional expectation as an ae class
- Basic algebra and order properties of conditional expectation
- Conditioning a known variable and an independent variable
- The Lebesgue integral is linear on $L^1(\mu)$
- Arithmetic and lattice operations preserve measurability whenever they are defined
- Finite and countable subadditivity of measures
- The Axiom of Choice
Used by
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Sources
- van der Vaart, Martingales, Diffusions and Financial Mathematics (standard reference, not scraped)