Sixth post in the series.
This post is natural sequel to the last post on relation of information and filtration.
Predictable Process
Hn is called a predictable process on filtration {Fn} if for every n, Hn∈Fn−1, in another words Hn is measurable on Fn−1
Why is it justified to call Hn predictable ?
First, it is never said that the filtration {Fn} is natural filtration of the sequence {Hn} itself. So lets think of it as filtration induced by some other random process Xn. Predictability of Hn tell us that if we know the result of this Xn−1 we will be able to tell what the next Hn is. If we know Xn−1 we can say what is the preimage set (level set) of it in Fn−1, since Hn is measurable on Fn−1, we will be able also to deduce what Hn is. Because, in a sense, measurability means all the following: Values are constant on “minimal” sets in Fn−1, values respect the “minimal” sets of Fn−1 or, one may say, Xn−1 and Hn agree on their level sets. Once you know the outcome of Xn−1, you know what the set of ω-s ∈Ω that came out, but due to just discussed properties of Hn, Hn is constant on all those ω-s so you know what it will be as well.
Xn−1 result is know before step n, and it turns out that Hn is also know before step n so it is possible to predict on step n−1 what Hn will be.
It fills that using same claims it is possible to show that Hn is constant, isn’t it?
No, it is not the case, if the filtration we talked about was natural filtration of Hn it self, then it would be true since in this case once we have H0 we can tell H1, but once we have H1 we can tell H2, every next result is predictable from the previous result. But it is when the filtration is natural filtration of Hn it self. However, in most of the cases the filtration is of some other sequence, just like I told in the beginning of the previous paragraph, in this case we acquire Xn−1 and can tell the Hn, then we acquire Xn and can tell Hn+1. But since the {Xn} are not predictable, we cant deduce all the {Hn} right away we only have Hn one step ahead.
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