Activated dynamic scaling in the random-field Ising model: a nonperturbative functional renormalization group approach
Abstract
The random-field Ising model shows extreme critical slowdown that has been described by activated dynamic scaling: the characteristic time for the relaxation to equilibrium diverges exponentially with the correlation length, , with an \textit{a priori} unknown barrier exponent. Through a nonperturbative functional renormalization group, we show that for spatial dimensions less than a critical value , also associated with dimensional-reduction breakdown, with the temperature exponent near the zero-temperature fixed point that controls the critical behavior. For on the other hand, where and a new exponent. At the upper critical dimension , so that , and activated scaling gives way to conventional scaling. We give a physical interpretation of the results in terms of collective events in real space, avalanches and droplets. We also propose a way to check the two regimes by computer simulations of long-range 1- systems.
Cite
@article{arxiv.1501.05770,
title = {Activated dynamic scaling in the random-field Ising model: a nonperturbative functional renormalization group approach},
author = {Ivan Balog and Gilles Tarjus},
journal= {arXiv preprint arXiv:1501.05770},
year = {2017}
}