Phase Transitions in Multidimensional Long-Range Random Field Ising Models
Lucas Affonso, Rodrigo Bissacot, Jo\~ao Maia

TL;DR
This paper proves the existence of phase transitions in multidimensional long-range ferromagnetic random field Ising models by extending contour methods, providing an alternative to the Renormalization Group approach for certain interaction ranges.
Contribution
It generalizes contour techniques to multidimensional long-range interactions, establishing phase transitions without relying on the Renormalization Group Method.
Findings
Proves phase transition for interactions with decay |x-y|^{-α} in dimensions d≥3 when α > d.
Extends contour methods to long-range interactions in higher dimensions.
Applicable to i.i.d. Gaussian or Bernoulli random fields.
Abstract
We extend a recent argument by Ding and Zhuang from nearest-neighbor to long-range interactions and prove the phase transition in a class of ferromagnetic random field Ising models. Our proof combines a generalization of Fr\"ohlich-Spencer contours to the multidimensional setting, proposed by two of us, with the coarse-graining procedure introduced by Fisher, Fr\"ohlich, and Spencer. Our result shows that the Ding-Zhuang strategy is also useful for interactions when in dimension if we have a suitable system of contours, yielding an alternative approach that does not use the Renormalization Group Method (RGM), since Bricmont and Kupiainen suggested that the RGM should also work on this generality. We can consider i.i.d. random fields with Gaussian or Bernoulli distributions.
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsTheoretical and Computational Physics · Markov Chains and Monte Carlo Methods · Stochastic processes and statistical mechanics
