Progressively measurable process

Progressively measurable process

In mathematics, progressive measurability is a property of stochastic processes. A progressively measurable process cannot "see into the future", but being progressively measurable is a strictly stronger property than the notion of being an adapted process.

Definition

Let
* (Omega, mathcal{F}, mathbb{P}) be a probability space;
* (mathbb{X}, mathcal{A}) be a measurable space, the "state space";
* { mathcal{F}_{t} | t geq 0 } be a filtration of the sigma algebra mathcal{F};
* X : [0, infty) imes Omega o mathbb{X} be a stochastic process (the index set could be [0, T] or mathbb{N}_{0} instead of [0, infty)).

The process X is said to be progressively measurable (or simply progressive) if, for every time t, the map [0, t] imes Omega o mathbb{X} defined by (s, omega) mapsto X_{s} (omega) is mathrm{Borel}( [0, t] ) otimes mathcal{F}_{t}-measurable. This implies that X is adapted.

Also, we say that a subset P subseteq [0, infty) imes Omega is progressively measurable if the process X_{s} (omega) := chi_{P} (s, omega) is progressively measurable in the sense defined above. The set of all such subsets P form a sigma algebra on [0, infty) imes Omega, denoted mathrm{Prog}, and a process X is progressively measurable in the sense of the previous paragraph if, and only if, it is mathrm{Prog}-measurable.

Properties

* It can be shown that L^{2} (B), the space of stochastic processes X : [0, T] imes Omega o mathbb{R}^{n} for which the Ito integral int_{0}^{T} X_{t} , mathrm{d} B_{t} with respect to Brownian motion B is defined, is the set of equivalence classes of mathrm{Prog}-measurable processes in L^{2} ( [0, T] imes Omega; mathbb{R}^{n}).
* Any adapted process with left- or right-continuous paths is progressively measurable.
* Consequently, any adapted process with càdlàg paths is progressively measurable.


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