In probability theory, a sigma-algebra can be interpreted as a system of possible “distinctions” that can be made in a measurable or probability space .
A filtration on a probability space is an increasing system of sigma-algebras, for example indexed by time, which one can interpret as “being able to make more and more distinctions”, or “learning more and more as time progresses”.
As the intuition may suggest, it is an instantiation of the categorical notion of filtration, in the context of probability theory.
A filtered probability space consists of a probability space , equipped with a filtration of sub-sigma-algebras of , i.e. a collection where:
Note that a filtration as defined above is a filtered object in the category of sigma-algebras, but a cofiltered object? in the category of measurable or probability spaces. Indeed, if , the set-theoretic identity map is measurable as a function , but not the other way around.
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Ruben Van Belle, A categorical treatment of the Radon-Nikodym theorem and martingales, 2023. (arXiv)
Paolo Perrone and Ruben Van Belle, Convergence of martingales via enriched dagger categories, 2024. (arXiv)
Paolo Perrone, Starting Category Theory, World Scientific, 2024, Section 3.2.7. (website)
Paolo Perrone, Convergence of martingales via enriched dagger categories, video talk, 2024. (YouTube)
Last revised on July 21, 2024 at 19:38:30. See the history of this page for a list of all contributions to it.