How statement and proof provenance work
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These labels describe origin, not correctness: citations and verification chips remain separate evidence.
Square of a martingale minus quadratic compensator
Example
Assume AC. Let a given independent family of real variables have and finite variances . For , and the filtration trivial, , one has and is a martingale.
Facts & Assumptions
Given: The hypotheses and conventions in the example.
Disjoint groups of independent sigma-algebras remain independent. Disjoint groups of an independent sigma-algebra family remain independent.
A known integrable variable conditions to itself; an independent one conditions to its mean. Conditioning a known variable and an independent variable.
Conditional expectation is linear, order preserving and expectation preserving. Basic algebra and order properties of conditional expectation.
Square-integrable variables have an integrable product by Cauchy–Schwarz. Cauchy-Schwarz for random variables.
Predictable quadratic variation sums conditional squared increments. Predictable quadratic variation in discrete time.
A square-integrable martingale squared minus its bracket is a martingale. Square minus predictable quadratic variation is a martingale.
Nonnegative finite and countable weighted sums of measures are measures. Nonnegative scalar multiples and countable weighted sums of measures are measures.
A Dirac measure at a specified point is a probability measure. A Dirac set function is a probability measure.
AC supplies the inherited conditional-expectation existence and any stated choice of versions. The Axiom of Choice.
Verification
The generated sigma-algebras are nested, and finite sums are measurable by Arithmetic and lattice operations preserve measurability whenever they are defined. Cauchy–Schwarz with the constant one gives . Repeated use of shows that every finite sum has finite second moment, and hence finite first moment. Group independence and [F2] give , while the known conditions to itself. Thus , proving the martingale property Martingale submartingale and supermartingale.
The measurable variable is integrable and its Borel events belong to , independent of . Thus . Since , the bracket formula gives . The square-minus-bracket theorem now gives the asserted martingale. AC is inherited from these conditional classes and the bracket construction.
To see why the optional sum differs, take and . This is a measure by [F7]–[F8], and its total mass is one. Set and for . The family is independent because all but one member have only probability-zero or probability-one events. Here and . Thus takes values with probabilities , whereas everywhere. The compensated square takes values of equal mass and thereafter stays fixed.
Depends on
- Square minus predictable quadratic variation is a martingale
- Predictable quadratic variation in discrete time
- Martingale submartingale and supermartingale
- Conditioning a known variable and an independent variable
- Basic algebra and order properties of conditional expectation
- Disjoint groups of an independent sigma-algebra family remain independent
- Independent random elements
- Cauchy-Schwarz for random variables
- Arithmetic and lattice operations preserve measurability whenever they are defined
- Nonnegative scalar multiples and countable weighted sums of measures are measures
- A Dirac set function is a probability measure
- The Axiom of Choice
Used by
Nothing in the library uses this result yet.
Dependency tree · two levels
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Sources
- Durrett, Probability: Theory and Examples, fifth edition (standard reference, not scraped)