We apply Monte Carlo Renormalization group to the crumpling transition in random surface models of fixed connectivity. This transition is notoriously difficult to treat numerically. We employ here a Fourier accelerated Langevin algorithm in conjunction with a novel blocking procedure in momentum space which has proven extremely successful in . We perform two successive renormalizations in lattices with up to sites. We obtain a result for the critical exponent in general agreement with previous estimates and similar error bars, but with much less computational effort. We also measure with great accuracy . As a by-product we are able to determine the fractal dimension of random surfaces at the crumpling transition.

生成讲解博客的中文版本

生成AI智能校验的中文版本