arXiv:cond-mat/9602020 · Physical Review Letters
Monte Carlo Renormalization of the 3D Ising Model: Analyticity and Convergence
Henk W. J. Blöte, Jouke R. Heringa, A. Hoogland, E. W. Meyer, T. S. Smit
Abstract
We review the assumptions on which the Monte Carlo renormalization technique is based, in particular, the analyticity of the block-spin transformations. On this basis, we select an optimized Kadanoff blocking rule in combination with the simulation of a $d\phantom{\rule{0ex}{0ex}}=\phantom{\rule{0ex}{0ex}}3$ Ising model with reduced corrections to scaling. This is achieved by including interactions with second and third neighbors. As a consequence of the improved transformation, this Monte Carlo renormalization method yields a fast convergence and a high accuracy. The results for the critical exponents are ${y}_{H}\phantom{\rule{0ex}{0ex}}=\phantom{\rule{0ex}{0ex}}2.481(1)$ and ${y}_{T}\phantom{\rule{0ex}{0ex}}=\phantom{\rule{0ex}{0ex}}1.585(3)$.