2004/02/18 by John P. Donohue, Donohue, John P.
Physics and Astronomy · #Computational Physics (physics.comp-ph) #FOS: Physical sciences #Quantum many-body systems #Statistical Mechanics and Entropy #Theoretical and Computational Physics #physics.comp-ph
paper · pdf · doi:10.48550/arxiv.physics/0402090
9 pages, 3 ps figures
arxiv created 2004/02/18 · openalex publication_date 2004/02/18 · arxiv updated 2009/12/01 · openalex created_date 2025/10/10 · openalex updated_date 2026/07/28
A Monte Carlo Renormalization Group algorithm is used on the Ising model to derive critical exponents and the critical temperature. The algorithm is based on a minimum relative entropy iteration developed previously to derive potentials from equilibrium configurations. This previous algorithm is modified to derive useful information in an RG iteration. The method is applied in several dimensions with limited success. Required accuracy has not been achieved, but the method is interesting.