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Mar 23, 2015 at 12:18 answer added imateapot timeline score: 1
Sep 12, 2013 at 17:41 comment added David @Joris: Thank you, that is an interesting suggestion. But lets say $W_t$ is Brownian motion on $\mathbb{R}$ and $\mu$ is a drift of strength $-1/(1-x)$ until $W_t$ hits -1, and then it is zero. (The first drift is the h-transform when you condition Brownian motion to hit $-1$ before $1$, so $W_t$ should be Brownian under this conditioning). Then Novikov's criterion will not be satisfied, since standard Brownian motion will go close to 1, where the drift blows up, with positive probability. So I cannot use Girsanov, right?
Sep 12, 2013 at 9:07 comment added Joris Bierkens @ David: Did you consider the implications of Girsanov theorem for this setting? Let $\alpha_t = \mu((W_s)_{0 \leq s \leq t}$. By a change of measure of the form $\exp\left(\int_0^t \alpha_s d W_s - 1/2 \int_0^t \alpha_s^2 \ ds \right)$ (perhaps with different sign before the Ito integral) your process $W$ transforms into a Brownian motion. Girsanov theorem is classical and can be found everywhere e.g. in Oksendal or Karatzas/Shreve.
Sep 11, 2013 at 14:10 history edited Ricardo Andrade
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Sep 11, 2013 at 14:05 history edited Ricardo Andrade
created tag 'stochastic-diff-equations'; added top level tag
Sep 11, 2013 at 13:57 comment added The Bridge @ David : You should have a look at Functional Itô calculus (papers.ssrn.com/sol3/papers.cfm?abstract_id=1435551 or proba.jussieu.fr/pageperso/ramacont/papers/…) Regards
Sep 11, 2013 at 13:09 history edited David CC BY-SA 3.0
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Sep 11, 2013 at 12:54 review First posts
Sep 11, 2013 at 12:56
Sep 11, 2013 at 12:39 history asked David CC BY-SA 3.0