TOPICS
Search

Stochastic Differential Equation


A stochastic differential equation is a differential equation containing one or more random driving stochastic processes. A scalar Itô equation is commonly written

 dX_t=a(X_t,t)dt+b(X_t,t)dW_t,

where W_t is a Wiener process, a is the drift coefficient, and b is the diffusion coefficient. Because sample paths of a Wiener process are almost surely nowhere differentiable, the equation is interpreted through stochastic integrals rather than as an ordinary differential equation along each path.


See also

Brownian Motion, Itô Equation, Stochastic Process, Wiener Process

Explore with Wolfram|Alpha

References

Kloeden, P. E. and Platen, E. Numerical Solution of Stochastic Differential Equations. Berlin, Germany: Springer-Verlag, 1992.

Cite this as:

Weisstein, Eric W. "Stochastic Differential Equation." From MathWorld--A Wolfram Resource. https://mathworld.wolfram.com/StochasticDifferentialEquation.html

Subject classifications