Probability theory and stochastic processes Brownian motion Object
Classical Wiener space
Description
Let and . The classical Wiener space is the set with the norm and the Wiener measure . The Wiener measure is the unique Borel probability measure on this space under which the coordinate process is an -dimensional Wiener process on .
Check that is a Banach space:
- It is a vector space, and is a norm on it, since a continuous function on a compact interval is bounded.
- A Cauchy sequence for converges uniformly to a function ; a uniform limit of continuous functions is continuous, and .
It is also separable: piecewise linear paths with rational vertices are dense.
Remarks
The Wiener measure is the law of Brownian motion, seen as a random element of the path space. The Cameron–Martin space is the subspace of absolutely continuous paths with and . Translations of by elements of the Cameron–Martin space give measures equivalent to , but the Cameron–Martin space itself has -measure zero. The space is the standard setting of Malliavin calculus.
Where this leads
4 pages build on this one.
Further reading
About this page
| Tag | 5Z00K7K1HY |
|---|---|
| URI | m2://5Z00K7K1HY |
| Kind | object |
| Writing | W0 stub |
| MSC | 60J65, 28C20 |
| Instance of | Banach space |
| Same as | |
| Changed | 2 November 2026 |
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