Order parameter for non-mean-field spin glasses
Michele Castellana
TL;DR
The paper tackles non-mean-field spin-glass models and the difficulty of identifying the infrared degrees of freedom due to frustration. It develops a renormalization-group scheme that relies on a minimal information principle and system symmetries, yielding a ground-state-projection order parameter that drives decimation and rescaling. Applying this to the Hierarchical Edwards-Anderson model, the authors obtain RG fixed distributions and predict the critical exponent $ν$ as a function of the interaction-range exponent $ς$, with strong agreement to Monte Carlo results in the non-mean-field regime. The work points to a broader framework for real-space RG in frustrated magnets and potential extensions to cubic lattices and spin-glass materials.
Abstract
We propose a novel renormalization group (RG) method for non mean-field models of spin glasses, which leads to the emergence of a novel order parameter. Unlike previous approaches where the RG procedure is based on a priori notions on the system, our analysis follows a minimality principle, where no a priori assumption is made. We apply our approach to a spin-glass model built on a hierarchical lattice. In the RG decimation procedure, a novel order parameter spontaneously emerges from the system symmetries, and self-similarity features of the RG transformation only. This order parameter is the projection of the spin configurations on the ground state of the system. Kadanoff's majority rule for ferromagnetic systems is replaced by a more complex scheme, which involves such novel order parameter. The ground state thus acts as a pattern which translates spin configurations from one length scale to another. The rescaling RG procedure is based on a minimal, information-theory approach and, combined with the decimation, it yields a complete RG transformation. Below the upper critical dimension, the predictions for the critical exponent $ν$, which describes the critical divergence of the correlation length, are in excellent agreement with numerical simulations from both this and previous studies. Overall, this study opens new avenues in the understanding of the critical ordering of realistic spin glasses, and it can be applied to spin-glass models on a cubic lattice and nearest-neighbor couplings which directly model spin-glass materials, such as AuFe, CuMn and other magnetic alloys.
