Probability theory and stochastic processes Definition
Conditioned Brownian motion
Builds on Wiener processDoob's h-transformPositive harmonic functionDomainPoisson kernel
Definition
Let and let be a domain. Let be the transition density of Brownian motion in killed on leaving . Let be a positive harmonic function on . The h-conditioned Brownian motion in is the Doob h-transform of killed Brownian motion by . It is the Markov process on with transition densities
Remarks
A positive harmonic function on is excessive for killed Brownian motion, so the h-transform is defined; the h-process may have a finite lifetime. Example: and . Here is positive and harmonic, and the h-process is the three-dimensional Bessel process: Brownian motion conditioned never to hit . Example: for the unit disc and , the Poisson kernel with pole at on the unit circle, the h-process is Brownian motion conditioned to exit the disc at . Non-example: on is harmonic but takes negative values, so the formula does not give a family of positive kernels. More generally, conditioning to exit at a point of the Martin boundary uses the minimal harmonic function with pole at that point.
Reading path
To understand this page from the ground up, read these 6 pages in order. The foundations come first.
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- no evidence level
- Domain concept
- Doob's h-transform concept
- Poisson kernel concept
- Positive harmonic function concept
- Wiener process concept
- Conditioned Brownian motion definition
Further reading
About this page
| Tag | GPK4F1K971 |
|---|---|
| URI | m2://GPK4F1K971 |
| Kind | definition |
| Writing | W0 stub |
| MSC | 60J65, 60J45 |
| Defines | Conditioned Brownian motion |
| Uses | Wiener process, Doob's h-transform, Positive harmonic function, Domain, Poisson kernel |
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