The mean field Ising model trough interpolating techniques

TL;DR

This paper demonstrates how interpolation techniques from spin glass theory can be applied to the mean field Ising model, providing insights into its thermodynamic properties and phase transitions.

Contribution

It applies advanced interpolation methods from spin glasses to a classical mean field Ising model, highlighting their effectiveness in analyzing simpler systems.

Findings

Existence of thermodynamic limit confirmed

Explicit free energy expression derived

Phase transition and critical behavior characterized

Abstract

Aim of this work is not trying to explore a macroscopic behavior of some recent model in statistical mechanics but showing how some recent techniques developed within the framework of spin glasses do work on simpler model, focusing on the method and not on the analyzed system. To fulfil our will the candidate model turns out to be the paradigmatic mean field Ising model. The model is introduced and investigated with the interpolation techniques. We show the existence of the thermodynamic limit, bounds for the free energy density, the explicit expression for the free energy with its suitable expansion via the order parameter, the self-consistency relation, the phase transition, the critical behavior and the self-averaging properties. At the end a bridge to a Parisi-like theory is tried and discussed.