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Bessel process

Mathematical process for stochastic differential equations

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In mathematics, a Bessel process, named after Friedrich Bessel. The n-dimensional Bessel process is the solution to the stochastic differential equation (SDE)

dX_{t}=dW_{t}+{\frac {n-1}{2}}{\frac {dt}{X_{t}}}

where W is a 1-dimensional Wiener process (Brownian motion)

01Formal definition

The Bessel process of order n is the real-valued process X given (when n  2) by

X_{t}=\|W_{t}\|,

where ||·|| denotes the Euclidean norm in Rn and W is an n-dimensional Wiener process (Brownian motion). Note that this SDE makes sense for any real parameter n (although the drift term is singular at zero).

02Notation

A notation for the Bessel process of dimension n started at zero is BES0(n).

03In specific dimensions

For n  2, the n-dimensional Wiener process started at the origin is transient from its starting point: with probability one, i.e., Xt > 0 for all t > 0. It is, however, neighbourhood-recurrent for n = 2, meaning that with probability 1, for any r > 0, there are arbitrarily large t with Xt < r; on the other hand, it is truly transient for n > 2, meaning that Xt  r for all t sufficiently large.

For n  0, the Bessel process is usually started at points other than 0, since the drift to 0 is so strong that the process becomes stuck at 0 as soon as it hits 0.

Relationship with Brownian motion

0- and 2-dimensional Bessel processes are related to local times of Brownian motion via the Ray-Knight theorems.

The law of a Brownian motion near x-extrema is the law of a 3-dimensional Bessel process (theorem of Tanaka).

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Sources and credits

This article is adapted from the Wikipedia article Bessel process, written by its contributors and licensed under CC BY-SA 4.0. Fathomly has changed the layout, removed citation markers, navigation and maintenance notices, and adjusted punctuation. This adapted version is shared under the same license. For references, see the original article.

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