Strong Disorder RG principles within a fixed cell-size real space renormalization : application to the Random Transverse Field Ising model on various fractal lattices
Cecile Monthus, Thomas Garel

TL;DR
This paper introduces a fixed cell-size real space RG method incorporating Strong Disorder ideas, successfully reproducing critical exponents in 1D and analyzing phase transitions on fractal lattices with Infinite Disorder Fixed Points.
Contribution
It develops a novel fixed cell-size RG framework that captures critical behavior of disordered quantum systems on fractal lattices, extending Strong Disorder Renormalization concepts.
Findings
Reproduces known critical exponents in 1D accurately.
Identifies Infinite Disorder Fixed Points on fractal lattices.
Analyzes correlation length exponents in disordered and ordered phases.
Abstract
Strong Disorder Renormalization is an energy-based renormalization that leads to a complicated renormalized topology for the surviving clusters as soon as . In this paper, we propose to include Strong Disorder Renormalization ideas within the more traditional fixed cell-size real space RG framework. We first consider the one-dimensional chain as a test for this fixed cell-size procedure: we find that all exactly known critical exponents are reproduced correctly, except for the magnetic exponent (because it is related to more subtle persistence properties of the full RG flow). We then apply numerically this fixed cell-size procedure to two types of renormalizable fractal lattices (i) the Sierpinski gasket of fractal dimension , where there is no underlying classical ferromagnetic transition, so that the RG flow in the ordered phase is similar to what happens…
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