← Stochastic Differential Equations

SDE biological models

SDEs extend differential-equation models by including continuous random fluctuations.

A stochastic population model may be written

\[dX_t=f(X_t)dt+g(X_t)dW_t.\]

The function \(f\) represents the deterministic biological mechanism, while \(g\) specifies how noise magnitude depends on the state.

Choosing the noise

The diffusion term should have a biological or mathematical justification. In diffusion approximations of event-based models, it can be derived from underlying transition rates rather than added arbitrarily.

Key idea. A biological SDE should specify both the mechanism governing average change and the mechanism governing variability.