In mathematics, progressive measurability is a property in the theory of stochastic processes. A progressively measurable process, while defined quite technically, is important because it implies the stopped process is measurable. Being progressively measurable is a strictly stronger property than the notion of being an adapted process. Progressively measurable processes are important in the theory of Itô integrals.
Definition Let
( Ω , F , P ) {\displaystyle (\Omega ,{\mathcal {F}},\mathbb {P} )} be a probability space;
( X , A ) {\displaystyle (\mathbb {X} ,{\mathcal {A}})} be a measurable space, the state space;
{ F t ∣ t ≥ 0 } {\displaystyle \{{\mathcal {F}}_{t}\mid t\geq 0\}} be a filtration of the sigma algebra F {\displaystyle {\mathcal {F}}} ;
X : [ 0 , ∞ ) × Ω → X {\displaystyle X:[0,\infty )\times \Omega \to \mathbb {X} } be a stochastic process (the index set could be [ 0 , T ] {\displaystyle [0,T]} or N 0 {\displaystyle \mathbb {N} _{0}} instead of [ 0 , ∞ ) {\displaystyle [0,\infty )} );
B o r e l ( [ 0 , t ] ) {\displaystyle \mathrm {Borel} ([0,t])} be the Borel sigma algebra on [ 0 , t ] {\displaystyle [0,t]} . The process X {\displaystyle X} is said to be progressively measurable (or simply progressive) if, for every time t {\displaystyle t} , the map [ 0 , t ] × Ω → X {\displaystyle [0,t]\times \Omega \to \mathbb {X} } defined by ( s , ω ) ↦ X s ( ω ) {\displaystyle (s,\omega )\mapsto X_{s}(\omega )} is B o r e l ( [ 0 , t ] ) ⊗ F t {\displaystyle \mathrm {Borel} ([0,t])\otimes {\mathcal {F}}_{t}} -measurable. This implies that X {\displaystyle X} is F t {\displaystyle {\mathcal {F}}_{t}} -adapted. A subset P ⊆ [ 0 , ∞ ) × Ω {\displaystyle P\subseteq [0,\infty )\times \Omega } is said to be progressively measurable if the process X s ( ω ) := χ P ( s , ω ) {\displaystyle X_{s}(\omega ):=\chi _{P}(s,\omega )} is progressively measurable in the sense defined above, where χ P {\displaystyle \chi _{P}} is the indicator function of P {\displaystyle P} . The set of all such subsets P {\displaystyle P} form a sigma algebra on [ 0 , ∞ ) × Ω {\displaystyle [0,\infty )\times \Omega } , denoted by P r o g {\displaystyle \mathrm {Prog} } , and a process X {\displaystyle X} is progressively measurable in the sense of the previous paragraph if, and only if, it is P r o g {\displaystyle \mathrm {Prog} } -measurable.
Properties It can be shown that L 2 ( B ) {\displaystyle L^{2}(B)} , the space of stochastic processes X : [ 0 , T ] × Ω → R n {\displaystyle X:[0,T]\times \Omega \to \mathbb {R} ^{n}} for which the Itô integral
∫ 0 T X t d B t {\displaystyle \int _{0}^{T}X_{t}\,\mathrm {d} B_{t}}
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