Random Transverse Field Ising model on the Cayley Tree : analysis via Boundary Strong Disorder Renormalization
Cecile Monthus, Thomas Garel

TL;DR
This paper introduces a Boundary Strong Disorder Renormalization method for the Random Transverse Field Ising model on Cayley trees, enabling analysis of critical behavior and phase transitions while preserving tree topology.
Contribution
The paper develops a modified RG procedure that maintains the tree structure, allowing exact analysis of critical exponents and phase transitions in the Cayley tree geometry.
Findings
Exact recovery of critical exponents for 1D chain.
Identification of different phases depending on J and transverse fields.
Characterization of quantum transition types and cluster formations.
Abstract
Strong Disorder Renormalization for the Random Transverse Field Ising model leads to a complicated topology of surviving clusters as soon as . Even if one starts from a Cayley tree, the network of surviving renormalized clusters will contain loops, so that no analytical solution can been obtained. Here we introduce a modified procedure called 'Boundary Strong Disorder Renormalization' that preserves the tree structure, so that one can write simple recursions with respect to the number of generations. We first show that this modified procedure allows to recover exactly most of the critical exponents for the one-dimensional chain. After this important check, we study the RG equations for the quantum Ising model on a Cayley tree with a uniform ferromagnetic coupling and random transverse fields with support . We find the following picture (i) for ,…
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