Probability theory and stochastic processes Definition
Langevin equation
Builds on Wiener processOrnstein–Uhlenbeck processNormal distribution
Definition
Let , let be a mass, let be a friction coefficient, and let be an inverse temperature. Let be a continuously differentiable potential, and let be a -dimensional Brownian motion. The Langevin equation is the system of stochastic differential equations for a position and a velocity in :
Remarks
In physics notation, for the temperature and the Boltzmann constant . The equation is often written , where is white noise. Example: for and , the velocity solves . This is an Ornstein–Uhlenbeck process, and its stationary law is normal with mean and variance . Non-example: the equation lacks the random force, so its solutions decay to and never reach thermal equilibrium. The overdamped Langevin equation is the limit of large friction after a change of time scale. When is integrable, the overdamped equation has a stationary law with density proportional to . Under the same condition, the full equation has a stationary law with density proportional to in .
Reading path
To understand this page from the ground up, read these 4 pages in order. The foundations come first.
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- no evidence level
- Normal distribution concept
- Ornstein–Uhlenbeck process concept
- Wiener process concept
- Langevin equation definition
Further reading
About this page
| Tag | TAQWRWTHX8 |
|---|---|
| URI | m2://TAQWRWTHX8 |
| Kind | definition |
| Writing | W0 stub |
| MSC | 60H10, 82C31 |
| Defines | Langevin equation |
| Uses | Wiener process, Ornstein–Uhlenbeck process, Normal distribution |
| Changed | 2 November 2026 |
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