Monte Carlo Renormalization-Group Study of the Dynamics of an Unstable State

Abstract
The kinetics of an order-disorder transition is studied by Monte Carlo renormalization-group methods. The block-spin transformation acts to renormalize both the growing domains and the moving interfaces separating them. After several iterations, the growth is found to be self-similar under a simultaneous rescaling of space and time. The growth law for the average size of domains is then determined by a matching condition. Good agreement with the results of previous studies is obtained.

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