Kalvis Jansons (University College London) and Grant Lythe (Los Alamos)

We present an exact timestepping method for Brownian motion that does not require Gaussian random variables to be generated. The method increments time in steps that are exponentially-distributed random variables. Under this exponential timestepping, the presence of boundaries can be explicitly accounted for at each timestep. The method is illustrated with one-dimensional examples.