English

Activated dynamic scaling in the random-field Ising model: a nonperturbative functional renormalization group approach

Statistical Mechanics 2017-10-12 v2

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, lnτξψ/T\ln \tau\sim \xi^\psi/T , with ψ\psi an \textit{a priori} unknown barrier exponent. Through a nonperturbative functional renormalization group, we show that for spatial dimensions dd less than a critical value dDR5.1d_{DR} \simeq 5.1, also associated with dimensional-reduction breakdown, ψ=θ\psi=\theta with θ\theta the temperature exponent near the zero-temperature fixed point that controls the critical behavior. For d>dDRd>d_{DR} on the other hand, ψ=θ2λ\psi=\theta-2\lambda where θ=2\theta=2 and λ>0\lambda>0 a new exponent. At the upper critical dimension d=6d=6, λ=1\lambda=1 so that ψ=0\psi=0, 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-dd systems.

Keywords

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}
}
R2 v1 2026-06-22T08:10:53.111Z