Catene di Markov Monte Carlo nei modelli di Ising

S. Mignani & R. Rosa
This paper deals with an application of Monte Carlo Markov Chain. This Monte Carlo sampling technique was first introduced by Metropolis et al. to provide estimates of the statistical mechanical Boltzmann averages of parameters of a system of interacting particles. To illustrate an application of this method we have chosen the square spin-flip Ising model, i.e., a regular array of sites with each site occupied by a spin, which is allowed only two orientations. On...