Progressively measurable process

Source: Wikipedia, the free encyclopedia.

In

Itô integrals
.

Definition

Let

  • be a probability space;
  • be a measurable space, the state space;
  • be a
    sigma algebra
    ;
  • be a stochastic process (the index set could be or instead of );
  • be the
    Borel sigma algebra
    on .

The process is said to be progressively measurable[2] (or simply progressive) if, for every time , the map defined by is -measurable. This implies that is -adapted.[1]

A subset is said to be progressively measurable if the process is progressively measurable in the sense defined above, where is the indicator function of . The set of all such subsets form a sigma algebra on , denoted by , and a process is progressively measurable in the sense of the previous paragraph if, and only if, it is -measurable.

Properties

  • It can be shown[1] that , the space of stochastic processes for which the
    Itô integral
with respect to Brownian motion is defined, is the set of equivalence classes of -measurable processes in .
  • Every adapted process with left- or right-continuous paths is progressively measurable. Consequently, every adapted process with càdlàg paths is progressively measurable.[1]
  • Every measurable and adapted process has a progressively measurable modification.[1]

References