Random Transverse Field Ising Model in dimension $d=2,3$ : Infinite Disorder scaling via a non-linear transfer approach
Cecile Monthus, Thomas Garel

TL;DR
This paper extends the cavity-mean-field approximation to finite-dimensional random transverse field Ising models using a non-linear transfer approach, revealing infinite disorder scaling and droplet exponents consistent with directed polymer models.
Contribution
It introduces a non-linear transfer method for finite dimensions, linking surface magnetization scaling to directed polymer droplet exponents, and provides numerical evidence of infinite disorder criticality in 2D and 3D.
Findings
Critical point exhibits infinite disorder scaling.
Surface magnetization scales with droplet exponents from directed polymer models.
Distribution of surface magnetization shows power-law behavior near zero.
Abstract
The 'Cavity-Mean-Field' approximation developed for the Random Transverse Field Ising Model on the Cayley tree [L. Ioffe and M. M\'ezard, PRL 105, 037001 (2010)] has been found to reproduce the known exact result for the surface magnetization in [O. Dimitrova and M. M\'ezard, J. Stat. Mech. (2011) P01020]. In the present paper, we propose to extend these ideas in finite dimensions via a non-linear transfer approach for the surface magnetization. In the disordered phase, the linearization of the transfer equations correspond to the transfer matrix for a Directed Polymer in a random medium of transverse dimension , in agreement with the leading order perturbative scaling analysis [C. Monthus and T. Garel, arxiv:1110.3145]. We present numerical results of the non-linear transfer approach in dimensions and . In both cases, we find that the critical point is…
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.
