Phase Ordering in One-Dimensional Systems with Long-Range Interactions

TL;DR

This paper investigates the phase ordering dynamics in one-dimensional systems with long-range interactions, revealing self-similar growth and potential size dependence for certain interaction ranges.

Contribution

It provides analytical and numerical evidence for the growth law and fixed point behavior in 1D long-range systems, extending understanding beyond higher dimensions.

Findings

Growth law: length scale ~ t^{1/(1+σ)} for σ > 1

Late time dynamics are independent of initial conditions

Possible size dependence for σ ≤ 1

Abstract

We study the dynamics of phase ordering of a non-conserved, scalar order parameter in one dimension, with long-range interactions characterized by a power law $r^{-d-\sigma}$. In contrast to higher dimensional systems, the point nature of the defects allows simpler analytic and numerical methods. We find that, at least for $\sigma > 1$, the model exhibits evolution to a self-similar state characterized by a length scale which grows with time as $t^{1/(1+\sigma)}$, and that the late time dynamics is independent of the initial length scale. The insensitivity of the dynamics to the initial conditions is consistent with the scenario of an attractive, non-trivial renormalization group fixed point which governs the late time behavior. For $\sigma \le 1$ we find indications in both the simulations and an analytic method that this behavior may be system size dependent.