optional process
Suppose we are given a filtration (http://planetmath.org/FiltrationOfSigmaAlgebras) (β±)tβπ on a measurable space
(Ξ©,β±). A stochastic process
is said to be adapted if Xt is β±t-measurable for every time t in the index set
π. For an arbitrary, uncountable, index set πββ, this property is too restrictive to be useful. Instead, we can impose measurability conditions on X considered as a map from πΓΞ© to β.
For instance, we could require X to be progressively measurable, but that is still too weak a condition for many purposes. A stronger condition is for X to be optional. The index set π is assumed to be a closed subset of β in the following definition.
The class of optional processes forms the smallest set containing all adapted and right-continuous processes, and which is closed under taking limits of sequences of processes.
The Ο-algebra, πͺ, on πΓΞ© generated by the right-continuous and adapted processes is called the optional Ο-algebra. Then, a process is optional if and only if it is πͺ-measurable.
Alternatively, the optional Ο-algebra may be defined as
πͺ=Ο({[T,β):T is a stopping time}). |
Here, [T,β) is a stochastic interval, consisting of the pairs (t,Ο)βπΓΞ© such that T(Ο)β€t. In continuous-time, the equivalence of these two definitions for πͺ does require mild conditions on the filtration β it is enough for β±t to be universally complete.
In the discrete-time case where the index set π countable, then the definitions above imply that a process Xt is optional if and only if it is adapted.
Title | optional process |
---|---|
Canonical name | OptionalProcess |
Date of creation | 2013-03-22 18:37:34 |
Last modified on | 2013-03-22 18:37:34 |
Owner | gel (22282) |
Last modified by | gel (22282) |
Numerical id | 5 |
Author | gel (22282) |
Entry type | Definition |
Classification | msc 60G07 |
Related topic | ProgressivelyMeasurableProcess |
Related topic | PredictableProcess |
Defines | optional |