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arxiv: 1707.08683 · v1 · pith:ULENOWU5new · submitted 2017-07-27 · ❄️ cond-mat.stat-mech

A Variational Approach to Monte Carlo Renormalization Group

classification ❄️ cond-mat.stat-mech
keywords carlocriticalmethodmonterenormalizationvariationalapproachbias
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We present a Monte Carlo method for computing the renormalized coupling constants and the critical exponents within renormalization theory. The scheme, which derives from a variational principle, overcomes critical slowing down, by means of a bias potential that renders the coarse grained variables uncorrelated. The 2D Ising model is used to illustrate the method.

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