English

Gaps between avalanches in 1D Random Field Ising Models

Disordered Systems and Neural Networks 2017-10-16 v2

Abstract

We analyze the statistics of gaps (ΔH\Delta H) between successive avalanches in one dimensional random field Ising models (RFIMs) in an external field HH at zero temperature. In the first part of the paper we study the nearest-neighbour ferromagnetic RFIM. We map the sequence of avalanches in this system to a non-homogeneous Poisson process with an HH-dependent rate ρ(H)\rho(H). We use this to analytically compute the distribution of gaps P(ΔH)P(\Delta H) between avalanches as the field is increased monotonically from -\infty to ++\infty. We show that P(ΔH)P(\Delta H) tends to a constant C(R)\mathcal{C}(R) as ΔH0+\Delta H \to 0^+, which displays a non-trivial behaviour with the strength of disorder RR. We verify our predictions with numerical simulations. In the second part of the paper, motivated by avalanche gap distributions in driven disordered amorphous solids, we study a long-range antiferromagnetic RFIM. This model displays a gapped behaviour P(ΔH)=0P(\Delta H) = 0 up to a system size dependent offset value ΔHoff\Delta H_{\text{off}}, and P(ΔH)(ΔHΔHoff)θP(\Delta H) \sim (\Delta H - \Delta H_{\text{off}})^{\theta} as ΔHHoff+\Delta H \to H_{\text{off}}^+. We perform numerical simulations on this model and determine θ0.95(5)\theta \approx 0.95(5). We also discuss mechanisms which would lead to a non-zero exponent θ\theta for general spin models with quenched random fields.

Keywords

Cite

@article{arxiv.1705.09069,
  title  = {Gaps between avalanches in 1D Random Field Ising Models},
  author = {Jishnu N. Nampoothiri and Kabir Ramola and Sanjib Sabhapandit and Bulbul Chakraborty},
  journal= {arXiv preprint arXiv:1705.09069},
  year   = {2017}
}

Comments

16 pages, 16 figures

R2 v1 2026-06-22T19:58:39.349Z