Probability theory and stochastic processes Concept
Conditioned Brownian motion
Summary
A conditioned Brownian motion in a domain is the Doob h-transform of Brownian motion killed on leaving the domain, for a positive harmonic function . Take for the Poisson kernel or the Martin kernel with pole at a boundary point. Then the process is Brownian motion conditioned to leave the domain at that point. Conditioned Brownian motion gives probabilistic proofs of boundary limit theorems, such as Fatou-type theorems and the relative Fatou theorem.
Further reading
About this page
| Tag | H0NDB85RCD |
|---|---|
| URI | m2://H0NDB85RCD |
| Kind | concept |
| Writing | W0 stub |
| MSC | 60J65, 60J45 |
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