The previous article has proved the Ornstein–Uhlenbeck process, however, it is not a formal proof since some steps is not clear enough such as "defining dWt as Wt+dt - Wt"
Therefore, I shall post the proof of "Ito isometry" here, which is a formal proof for handling expectation and variance of stochastic integral.
We want to proof the followings:
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To begin with all, we have to learn the concept of "partition".
Most of the reader should have basic concept about differentiation and integration, in fact, the differential itself is a partition:
where h->0 can be understand as "the difference of x2 and x1 tends to 0"
What we are actually doing is:
Now, we replace the ambiguous "h->0" to a more vigorous one
Define the partition P to be:
where i is between 0 to n and xn equals b (the upper bound of the integration range)
Define "the largest" partition to be:
where sup is "supremum" (we will come back to this in after article, now just think supremum is something like "maximum")
Hence, here we have the following definition of integration:
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Then, we go back to the proof of Ito isometry:
By definition,
Note that
and it is independent of the function f(t,Z), hence
Therefore,
Moreover, we have
Since E(X) part becomes zero,
Substituting f(t,Z) into X,
Because ti - ti-1 is exactly the differential which equals dt,
We have the Ito isometry:
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The proof is still not perfectly completed yet because we assume the the expectation sign and limit can interchange. We shall come back to this later.
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