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The Brownian transition semigroup
Definition
Assume the Axiom of Choice. Let be a standard Brownian motion Brownian motion. For define the Brownian transition kernel and for every bounded Borel function define The family is the Brownian transition semigroup, and each is a transition operator.
Two equivalent descriptions are part of the definition and are used below.
- Expectation form. For a standard Brownian motion as in Brownian motion and , Under AC, is the law of for a standard normal , whose density is fixed in Standard normal and normal laws; the density of is the translate , and the agreement of the two displayed expressions is proved as the first assertion of the semigroup lemma later on this page.
- Basic regularity. For the map is continuous, hence Borel; consequently is Borel for bounded Borel , is linear, and , with equality for once the kernel is known to be a probability density. At the convention is , so is the identity.
The cases and of every later identity are the identity operator and are recorded separately rather than derived from the formula. No choice beyond the declared AC is made by the kernel: the integral is a Lebesgue integral of a fixed continuous density.
Source notes
Lawler, Section 2.6, and Durrett, Section 7.3, define the Brownian transition density and the operator . The expectation form is the definition of in Lawler's Markov-viewpoint treatment; here it is stated as an equivalent description and proved in the following lemma, so that no step of the later arguments has to treat it as an extra hypothesis.
Depends on
Used by
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Sources
- Gregory F. Lawler, Stochastic Calculus: An Introduction with Applications, Section 2.6 (standard reference, not scraped)
- Rick Durrett, Probability: Theory and Examples, fifth edition, Section 7.3 (standard reference, not scraped)