A Variational Approach to Monte Carlo Renormalization Group
Statistical Mechanics
2017-12-06 v1
Abstract
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.
Cite
@article{arxiv.1707.08683,
title = {A Variational Approach to Monte Carlo Renormalization Group},
author = {Yantao Wu and Roberto Car},
journal= {arXiv preprint arXiv:1707.08683},
year = {2017}
}
Comments
4 pages, 3 figures, 1 table