Math 2.0

Probability theory and stochastic processes Definition

Langevin equation

Builds on Wiener processOrnstein–Uhlenbeck processNormal distribution

Definition

Let d≥1d \ge 1, let m>0m > 0 be a mass, let γ>0\gamma > 0 be a friction coefficient, and let β>0\beta > 0 be an inverse temperature. Let U ⁣:ℝd→ℝU \colon \R^d \to \R be a continuously differentiable potential, and let BB be a dd-dimensional Brownian motion. The Langevin equation is the system of stochastic differential equations for a position XtX_t and a velocity VtV_t in ℝd\R^d: dXt=Vt dt,m dVt=−∇U(Xt) dt−γVt dt+2γ/β dBt.dX_t = V_t \, dt, \qquad m \, dV_t = -\nabla U(X_t) \, dt - \gamma V_t \, dt + \sqrt{2\gamma / \beta} \, dB_t.

Remarks

In physics notation, β=1/(kBT)\beta = 1 / (k_B T) for the temperature TT and the Boltzmann constant kBk_B. The equation is often written mX¨=−∇U(X)−γX˙+ξm \ddot{X} = -\nabla U(X) - \gamma \dot{X} + \xi, where ξ\xi is white noise. Example: for U=0U = 0 and d=1d = 1, the velocity solves dV=−(γ/m)V dt+(2γ/β/m) dBdV = -(\gamma/m) V \, dt + (\sqrt{2\gamma/\beta}/m) \, dB. This is an Ornstein–Uhlenbeck process, and its stationary law is normal with mean 00 and variance 1/(βm)1/(\beta m). Non-example: the equation m dV=−γV dtm \, dV = -\gamma V \, dt lacks the random force, so its solutions decay to 00 and never reach thermal equilibrium. The overdamped Langevin equation dXt=−∇U(Xt) dt+2/β dBtdX_t = -\nabla U(X_t) \, dt + \sqrt{2/\beta} \, dB_t is the limit of large friction after a change of time scale. When e−βUe^{-\beta U} is integrable, the overdamped equation has a stationary law with density proportional to e−βU(x)e^{-\beta U(x)}. Under the same condition, the full equation has a stationary law with density proportional to e−β(U(x)+m∣v∣2/2)e^{-\beta (U(x) + m \abs{v}^2 / 2)} in (x,v)(x, v).

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  1. Normal distribution concept
  2. Ornstein–Uhlenbeck process concept
  3. Wiener process concept
  4. Langevin equation definition

Further reading

  1. Web https://en.wikipedia.org/wiki/Langevin_equation
About this page
TagTAQWRWTHX8
URIm2://TAQWRWTHX8
Kinddefinition
WritingW0 stub
MSC60H10, 82C31
DefinesLangevin equation
UsesWiener process, Ornstein–Uhlenbeck process, Normal distribution
Changed2 November 2026

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