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中国科学通报:英文版

A MONTE CARLO RENORMALIZATION GROUP STUDY OF ISING MODEL ON 2-DIMENSIONAL RANDOM TRIANGLE LATTICE

黄五群, 陈天仑

Published Jan 1, 1990• 0 citations
OpenAlex

Abstract

Ⅰ. INTRODUCTIONMonte Carlo renormalization group method (MCRG) has become a powerful technical tool for the study of critical behaviour and continuum limit of discrete systems since 1976. The method is therefore widely applied to the study of fixed point and critical exponents in statistical models, and to the study of phase transitions, β function and scaling behaviour for some gauge fields in lattice gauge theories.

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Ⅰ. INTRODUCTIONMonte Carlo renormalization group method (MCRG) has become a powerful technical tool for the study of critical behaviour and continuum limit of discrete systems since 1976. The method is therefore widely applied to the study of fixed point and critical exponents in statistical models, and to the study of phase transitions, β function and scaling behaviour for some gauge fields in lattice gauge theories.
A Monte Carlo renormalization-group (MCRG) method developed to study quantum systems is presented. This MCRG method is the synthesis of the Monte Carlo method for quantum systems using the Trotter transformation with the MCRG developed for classical systems. It is applicable to the study of either the ground-state or the finite-temperature behavior of a quantum system. The convergence properties of this MCRG are illustrated by applying it to the ground state of the d=1 Ising model in a transverse magnetic field. Very rapid convergence to the known critical exponents is exhibited even for small lattice sizes.