Linear and nonlinear edge dynamics of trapped fractional quantum Hall droplets
Alberto Nardin, Iacopo Carusotto
TL;DR
This work analyzes linear and nonlinear edge dynamics of a trapped Laughlin fractional quantum Hall liquid using a novel Monte Carlo-based projection method onto the Laughlin edge subspace. It demonstrates the quantization of transverse conductivity in the linear regime and reveals first non-universal corrections to χLL, including a cubic dispersion and DSF broadening caused by anharmonic confinement. Building on these insights, the authors formulate a nonlinear chiral Luttinger liquid Hamiltonian whose semiclassical limit yields a driven Korteweg–de Vries equation, and they show quantitative agreement with full numerics across dispersion, broadening, and nonlinear edge evolution. The results provide a scalable, one-dimensional framework to study large FQH edge systems and offer concrete guidance for experimental observations in ultracold atoms and related platforms. Overall, the paper bridges microscopic simulations and effective edge theories to capture essential nonlinear and dispersive edge physics in fractional quantum Hall droplets.
Abstract
We report numerical studies of the linear and nonlinear edge dynamics of a non-harmonically confined macroscopic fractional quantum Hall fluid. In the long-wavelength and weak excitation limit, observable consequences of the fractional transverse conductivity are recovered. The first non-universal corrections to the chiral Luttinger liquid theory are then characterized: for a weak excitation in the linear response regime, cubic corrections to the linear wave dispersion and a broadening of the dynamical structure factor of the edge excitations are identified; for stronger excitations, sizable nonlinear effects are found in the dynamics. The numerically observed features are quantitatively captured by a nonlinear chiral Luttinger liquid quantum Hamiltonian that reduces to a driven Korteweg-de Vries equation in the semiclassical limit. Experimental observability of our predictions is finally discussed.
