Refermionized theory of the edge modes of a fractional quantum Hall cloud
Alberto Nardin, Iacopo Carusotto
TL;DR
The paper shows that the nonlinear chiral Luttinger liquid description of fractional quantum Hall edge modes can be mapped exactly to a one-dimensional system of massive, interacting chiral fermions via refermionization. This framework clarifies the mechanisms behind dynamic structure factor broadening, universal power-law exponents at spectral edges, and the detailed structure of edge excitations, achieving quantitative agreement with full two-dimensional simulations. By leveraging Tomonaga–Luttinger liquid techniques, the work reveals how confinement-induced dispersion and interactions control edge dynamics and decay times, while uncoupling complexity to accessible fermionic degrees of freedom. The results have broad implications for experiments in electronic, cold-atom, and photonic platforms and point toward nonlinear edge phenomena such as solitons in FQH fluids.
Abstract
Making use of refermionization techniques, we map the nonlinear chiral Luttinger liquid model of the edge modes of a spatially confined fractional quantum Hall cloud developed in our recent work [Phys. Rev. A 107, 033320 (2023)] onto a one-dimensional system of massive and interacting chiral fermions, whose mass and interactions are set by the filling factor of the quantum Hall fluid and the shape of the external confining potential at the position of the edge. As an example of the predictive power of the refermionized theory, we report a detailed study of the dynamic structure factor and of the spectral function of a fractional quantum Hall cloud. Among other features, our refermionized theory provides a physical understanding of the effective decay of the edge excitations and of the universal power-law exponents at the thresholds of the dynamic structure factor. The quantitative accuracy of the refermionized theory is validated against a full two-dimensional calculation based on a combination of exact diagonalization and Monte Carlo sampling.
