Hofstadter butterflies of carbon nanotubes: Pseudofractality of the magnetoelectronic spectrum

TL;DR

This paper explores the complex Hofstadter butterfly spectra in carbon nanotubes under various magnetic fields, revealing pseudofractality, interwall interactions, and snake states, with implications for understanding magnetoelectronic properties.

Contribution

It introduces the calculation of Hofstadter butterfly spectra for carbon nanotubes under different magnetic field orientations, including interwall interactions and pseudofractal features.

Findings

Perpendicular magnetic fields produce a richer, pseudofractal spectrum.

Interwall interactions significantly influence the Hofstadter butterfly in double-wall CNTs.

Cusp catastrophes and snake states are observed in the spectra.

Abstract

The electronic spectrum of a two-dimensional square lattice in a perpendicular magnetic field has become known as the Hofstadter butterfly [Hofstadter, Phys. Rev. B 14, 2239 (1976).]. We have calculated quasi-one-dimensional analogs of the Hofstadter butterfly for carbon nanotubes (CNTs). For the case of single-wall CNTs, it is straightforward to implement magnetic fields parallel to the tube axis by means of zone folding in the graphene reciprocal lattice. We have also studied perpendicular magnetic fields which, in contrast to the parallel case, lead to a much richer, pseudofractal spectrum. Moreover, we have investigated magnetic fields piercing double-wall CNTs and found strong signatures of interwall interaction in the resulting Hofstadter butterfly spectrum, which can be understood with the help of a minimal model. Ubiquitous to all perpendicular magnetic field spectra is the presence of cusp catastrophes at specific values of energy and magnetic field. Resolving the density of states along the tube circumference allows recognition of the snake states already predicted for nonuniform magnetic fields in the two-dimensional electron gas. An analytic model of the magnetic spectrum of electrons on a cylindrical surface is used to explain some of the results.