Examples

This section shows runnable TME examples in Python and Matlab. In particular, we use the following two example models.

  1. Model 1,

    \[d X(t) = \mathrm{tanh}(X(t)) dt + dW(t).\]
  2. Model 2,

    \[\begin{split}d X_1(t) &= X_2(t), \\ d X_2(t) &= (X_1(t)\, (\kappa - (X_1(t))^2)) dt + X_1(t) dW(t).\end{split}\]

We want to compute their mean, covariance/variance, or more generally \(\mathbb{E}[\phi(X(t + \Delta t)) \mid X(t)]\) for any function of interest \(\phi\).

In Python

See, Jupyter Notebook (SymPy) for Model 1.

See, Jupyter Notebook (JaX) for Model 1.

See, Jupyter Notebook (JaX) for Model 2.

See, Jupyter Notebook (JaX) for a stochastic Lorenz model.

In Matlab

See, Matalb codes for Models 1 and 2