Short-time scaling via Monte Carlo single spin-flip algorithms for the Baxter–Wu model

Abstract

The short-time critical dynamics of the Baxter–Wu model is investigated via Monte Carlo simulations using single spin-flip algorithms. The critical dynamic exponents z and θ are estimated and it is shown that the N-fold way provides a reliable estimate for the ratio of the static exponents ( 2 β / ν ) and a good confirmation of the short-time scheme. However, we find that the Metropolis and heat-bath algorithms are less satisfactory when used in the Baxter–Wu model to observe the short-time scaling.