Math 2.0

Probability theory and stochastic processes Brownian motion Concept

Ornstein–Uhlenbeck process

Summary

The Ornstein–Uhlenbeck process is a Brownian motion with a pull back towards a long-run mean. It solves the Langevin equation dXt=θ(μ−Xt) dt+σ dWtdX_t = \theta(\mu - X_t) \, dt + \sigma \, dW_t with θ>0\theta > 0. It is Gaussian, Markov and, from a suitable start, stationary, and it models velocities of particles, interest rates and mean-reverting quantities.

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Further reading

  1. Web https://en.wikipedia.org/wiki/Ornstein%E2%80%93Uhlenbeck_process
About this page
TagHZM2ASCDY4
URIm2://HZM2ASCDY4
Kindconcept
WritingW0 stub
MSC60J70, 60G15
SpecializesGaussian process, Diffusion process
Same as
Changed2 November 2026

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