Monte Carlo Renormalization Group Method to Study the First-Order Phase Transition in the Complex Ferromagnet
Qing-Kuan Meng, Dong-Tai Feng, Xu-Tuan Gao
Abstract
Qing-Kuan Meng, Dong-Tai Feng, Xu-Tuan Gao
Abstract
An improved Monte Carlo renormalization group method is established. Based on a new model, as well as the generalized Glauber dynamics, the first-order phase transition is studied in the Erdös–Rényi network, which is used to represent the complex ferromagnet. Both static and dynamic critical exponents can be evaluated simultaneously, and the static critical exponents are evaluated to be independent of the dimension of the system. Thus by using the hyperscaling relation νd* = 2 − α, the effective dimension d* of complex networks can be found.
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An improved Monte Carlo renormalization group method is established. Based on a new model, as well as the generalized Glauber dynamics, the first-order phase transition is studied in the Erdös–Rényi network, which is used to represent the complex ferromagnet. Both static and dynamic critical exponents can be evaluated simultaneously, and the static critical exponents are evaluated to be independent of the dimension of the system. Thus by using the hyperscaling relation νd* = 2 − α, the effective dimension d* of complex networks can be found.
Key concepts: Renormalization group, Glauber, Critical exponent, Critical dimension, Monte Carlo method, Statistical physics, Critical phenomena, Phase transition