Determination of the critical manifold tangent space and curvature with Monte Carlo renormalization group

Yantao Wu, Roberto Car

Research output: Contribution to journalArticle

Abstract

We show that the critical manifold of a statistical mechanical system in the vicinity of a critical point is locally accessible through correlation functions at that point. A practical numerical method is presented to determine the tangent space and the curvature to the critical manifold with variational Monte Carlo renormalization group. Because of the use of a variational bias potential of the coarse-grained variables, critical slowing down is greatly alleviated in the Monte Carlo simulation. In addition, this method is free of truncation error. We study the isotropic Ising model on square and cubic lattices, the anisotropic Ising model, and the tricritical Ising model on square lattices to illustrate the method.

Original languageEnglish (US)
Article number022138
JournalPhysical Review E
Volume100
Issue number2
DOIs
StatePublished - Aug 26 2019

All Science Journal Classification (ASJC) codes

  • Statistical and Nonlinear Physics
  • Statistics and Probability
  • Condensed Matter Physics

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