Probability theory and stochastic processes Martingales Example
Doob martingale
Example
Let be a probability space with a filtration , and let be a real random variable with . For let the conditional expectation of given . Then is a martingale, the Doob martingale of .
Check of the three clauses:
- is -measurable by the definition of conditional expectation.
- .
- Since , the tower property gives .
Remarks
A Doob martingale is uniformly integrable, and by Lévy's upward theorem it converges almost surely and in to , where is the σ-algebra generated by all . In concentration of measure one takes for independent and . Then and , so is a sum of martingale differences, and Azuma's inequality gives McDiarmid's inequality.
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About this page
| Tag | Z57CG6W9S6 |
|---|---|
| URI | m2://Z57CG6W9S6 |
| Kind | example |
| Writing | W0 stub |
| MSC | 60G42 |
| Instance of | Martingale |
| Changed | 2 November 2026 |
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