Lifetime of locally stable states near a phase transition in the Thirring model

TL;DR

This paper investigates the lifetime of metastable states in the long-range interacting Thirring model, combining analytical formulas and Monte Carlo simulations to understand how these states persist near phase transitions.

Contribution

It introduces an analytical approach to calculate the lifetime of metastable states in the Thirring model, validated by simulations, revealing exponential growth with system size.

Findings

Lifetime increases exponentially with the number of particles

Monte Carlo simulations confirm the exponential distribution of first-passage times

Analytical predictions match simulation results

Abstract

We study the lifetime of locally stable states in the Thirring model, which describes a system of particles whose interactions are long-range. The model exhibits first-order phase transitions in the canonical ensemble and, therefore, a free energy barrier separates two free energy minima. The energy of the system diffuses as a result of thermal fluctuations and we show that its dynamics can be described by means of a Fokker-Planck equation. Considering an initial state where the energy takes the value corresponding to one of the minima of the free energy, we can define the lifetime of the initial state as the mean first-passage time for the system to reach the top of the free energy barrier between the minima. We use an analytical formula for the mean first-passage time which is based on the knowledge of the exact free energy of the model, even at a finite number of particles. This formula shows that the lifetime of locally stable states increases exponentially in the number of particles, which is a typical feature of systems with long-range interactions. We also perform Monte Carlo simulations in the canonical ensemble in order to obtain the probability distribution of the first-passage time, which turns out to be exponential in time in a long time limit. The numerically obtained mean first-passage time agrees with the theoretical prediction. Combining theory and simulations, our work provides a new insight in the study of metastability in many-body systems with long-range interactions.