Abstract
We identify, analyze, and propose remedies for a numerical instability responsible for the growth or decay of sums that should be conserved in Monte Carlo simulations of stochastically interacting particles. ‘‘Noisy’’ sums with fluctuations proportional to 1/ √n , where n is the number of particles in the simulation, provide feedback that drives the instability. Numerical illustrations of an energy loss or ‘‘cooling’’ instability in an Ornstein-Uhlenbeck process support our analysis. (c) 1995 The American Physical Society
- Received 10 April 1995
DOI:https://doi.org/10.1103/PhysRevE.52.6855
©1995 American Physical Society