Monte Carlo Updating of Space-Time Configurations: New Algorithm for Stochastic, Classical Dynamics

By assigning probabilities to the histories of a classical stochastic field, it is possible to construct a Monte Carlo algorithm that evolves an entire space-time configuration, thereby allowing one to compute equilibrium or (in principle) nonequilibrium properties. This new technique is demonstrated on the Glauber kinetic Ising model, and the scaling behavior near the critical temperature is demonstrated.