Probability theory and stochastic processes Definition
Doob's h-transform
Builds on Markov kernelExcessive functionWiener processInfinitesimal generator of a Markov process
Definition
Let be a measurable space and let be a sub-Markov transition semigroup on . So the are kernels as for Markov kernels but with , and . Let be a measurable function that is excessive for . The h-transform of is the family of kernels A Markov process with transition semigroup is called an h-process.
Remarks
The kernels form a sub-Markov semigroup. Indeed, since is excessive, and If for all , then each is a Markov kernel and the h-process has infinite lifetime. Example: let be Brownian motion on killed at , and . Then by optional stopping, so is invariant, and the h-process is the three-dimensional Bessel process, Brownian motion conditioned never to hit . Non-example: for Brownian motion on and , one has , so is not excessive and . If is the infinitesimal generator of , the generator of the h-process acts by on suitable . For and harmonic , this is , a Brownian motion with drift .
Reading path
To understand this page from the ground up, read these 5 pages in order. The foundations come first.
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- no evidence level
- Excessive function concept
- Infinitesimal generator of a Markov process concept
- Markov kernel concept
- Wiener process concept
- Doob's h-transform definition
Further reading
About this page
| Tag | DK3492C42N |
|---|---|
| URI | m2://DK3492C42N |
| Kind | definition |
| Writing | W0 stub |
| MSC | 60J45, 60J25 |
| Defines | Doob's h-transform |
| Uses | Markov kernel, Excessive function, Wiener process, Infinitesimal generator of a Markov process |
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