Math 2.0

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 hh. Take for hh 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

  1. Web https://en.wikipedia.org/wiki/Doob%27s_h-transform
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