Critical behavior of dirty parafermionic chains

Fuente: arXiv
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Main Authors: Pandey, Akshat, Cowsik, Aditya
Format: Preprint
Published: 2024
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author Pandey, Akshat
Cowsik, Aditya
author_facet Pandey, Akshat
Cowsik, Aditya
contents A family of $\mathbb Z_n$-symmetric non-Hermitian models of Baxter was shown by Fendley to be exactly solvable via a parafermionic generalization of the Clifford algebra. We study these models with spatially random couplings, and obtain several exact results on thermodynamic singularities as the distributions of couplings are varied. We find that these singularities, independent of $n$, are identical to those in the random transverse-field Ising chain; correspondingly the models host infinite-randomness critical points. Similarities in structure to exact methods for random Ising models, a strong-disorder renormalization group, and generalizations to other models with free spectra, are discussed.
format Preprint
id arxiv_https___arxiv_org_abs_2404_04324
institution arXiv
publishDate 2024
record_format arxiv
spellingShingle Critical behavior of dirty parafermionic chains
Pandey, Akshat
Cowsik, Aditya
Statistical Mechanics
Disordered Systems and Neural Networks
Strongly Correlated Electrons
Mathematical Physics
A family of $\mathbb Z_n$-symmetric non-Hermitian models of Baxter was shown by Fendley to be exactly solvable via a parafermionic generalization of the Clifford algebra. We study these models with spatially random couplings, and obtain several exact results on thermodynamic singularities as the distributions of couplings are varied. We find that these singularities, independent of $n$, are identical to those in the random transverse-field Ising chain; correspondingly the models host infinite-randomness critical points. Similarities in structure to exact methods for random Ising models, a strong-disorder renormalization group, and generalizations to other models with free spectra, are discussed.
title Critical behavior of dirty parafermionic chains
topic Statistical Mechanics
Disordered Systems and Neural Networks
Strongly Correlated Electrons
Mathematical Physics
url https://arxiv.org/abs/2404.04324