Phase transitions in low-dimensional long-range random field Ising models
Jian Ding, Fenglin Huang, João Maia
TL;DR
This work establishes phase transitions for the long-range RFIM in low dimensions: in 1D, for $1<\alpha<3/2$ without requiring large nearest-neighbor coupling, and in 2D, for $2<\alpha\le 3$, including the critical case $\alpha=3$. The authors introduce a novel multiscale Peierls map with a balancing procedure that handles the randomness of the external field, complemented by energy-entropy bounds and coarse-graining techniques. In 1D, a refined entropy bound and a subgaussian control of the field yield a robust Peierls estimate, while in 2D, a contour-based coarse-graining plus improved energy estimates (notably at the critical exponent) extends previous results to the full long-range region. The results provide a rigorous confirmation of phase transitions in these low-dimensional, long-range RFIMs and clarify the role of the critical exponent $\alpha=3$ in two dimensions.
Abstract
We consider the long-range random field Ising model in dimension $d = 1, 2$, whereas the long-range interaction is of the form $J_{xy} = |x-y|^{-α}$ with $1< α< 3/2$ for $d=1$ and with $2 < α\leq 3$ for $d = 2$. Our main results establish phase transitions in these regimes. In one dimension, we employ a Peierls argument with some novel modification, suitable for dealing with the randomness coming from the external field; in two dimensions, our proof follows that of Affonso, Bissacot, and Maia (2023) with some adaptations, but new ideas are required in the critical case of $α=3$.
