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Uniqueness of continuous predictable brackets
Statement
Let be an adapted process on . Suppose are continuous, predictable finite-variation processes with , , and both and are martingales. Then and are indistinguishable.
Facts & Assumptions
Given: The hypotheses of the Statement and the continuous predictable compensator convention of Optional and predictable brackets for counting-process martingales.
A continuous finite-variation martingale with integrable total variation and initial value zero is indistinguishably zero. (A continuous finite-variation martingale is constant)
A martingale is an adapted integrable process satisfying the all-pairs conditional-expectation identity. (Continuous-time adapted processes and martingales)
Conditional expectation is linear, so differences of martingales are martingales. (Basic algebra and order properties of conditional expectation)
Indistinguishability means equality for all times outside one probability-one event. (Process law, modification, and indistinguishability)
AC is inherited from the conditional-expectation interface in [F2]. (The Axiom of Choice)
Proof
The difference is a martingale by [F3]. It is continuous, has finite variation, starts at zero, and , so it satisfies [F1].
By [F1], is zero outside one probability-one event, which is indistinguishability by [F4]. Hence indistinguishably, proving uniqueness for both scalar and cross-bracket compensators in the stated continuous class.
Source notes
The cited sources formulate predictable brackets through predictable compensators. The local uniqueness proof reduces that convention to the finite-variation martingale lemma, rather than assuming a continuous-time Doob–Meyer uniqueness result not otherwise supplied on this page.
Depends on
Used by
- Brackets of a compensated simple counting process Theorem
- Cross brackets vanish without simultaneous jumps Theorem
Cited to discharge well-definedness by Optional and predictable brackets for counting-process martingales.
Dependency tree · two levels
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Sources
- Richard F. Bass, SDEs with Jumps, Section 2.4, PDF pp. 4–6 (standard reference, not scraped)
- Lu Tian, STAT331 Unit 9: Some Key Results for Counting Process Martingales, PDF pp. 9–12 (standard reference, not scraped)