Finite-size scaling functions of the phase transition in the ferromagnetic Ising model on random regular graphs

TL;DR

This paper investigates the finite-size effects of the phase transition in the ferromagnetic Ising model on random regular graphs, deriving scaling functions and validating them with simulations.

Contribution

It provides the first explicit derivation of finite-size scaling functions for the Ising model on random regular graphs, confirming the scaling variable involving the number of sites.

Findings

Scaling variable $[T/T_c -1] S^{1/2}$ accurately describes finite-size rounding.

Derived closed-form scaling functions for specific heat and susceptibility.

Monte Carlo simulations agree with theoretical predictions.

Abstract

We discuss the finite-size scaling of the ferromagnetic Ising model on random regular graphs. These graphs are locally tree-like, and in the limit of large graphs, the Bethe approximation gives the exact free energy per site. In the thermodynamic limit, the Ising model on these graphs show a phase transition. This transition is rounded off for finite graphs. We verify the scaling theory prediction that this rounding off is described in terms of the scaling variable $[T/T_c -1] S^{1/2}$ (where $T$ and $T_c$ are the temperature and the critical temperature respectively, and $S$ is the number of sites in the graph), and $\textit{not}$ in terms of a power of the diameter of the graph, which varies as $\log S$. We determine the theoretical scaling functions for the specific heat capacity and the magnetic susceptibility of the absolute value of the magnetization in closed form and compare them to Monte Carlo simulations.