Spectral decimation of the magnetic Laplacian on the Sierpinski gasket: Solving the Hofstadter-Sierpinski butterfly

TL;DR

This paper determines the spectrum of the magnetic Laplacian on the Sierpinski gasket with magnetic fluxes, revealing a fractal structure similar to Hofstadter's butterfly and providing insights into spectral self-similarity and quantum graph properties.

Contribution

It establishes the spectral self-similarity of the magnetic Laplacian on the Sierpinski gasket using a complex 3-parameter map, linking dynamical and magnetic spectra, and computes spectral properties for specific flux values.

Findings

Spectral self-similarity of the magnetic Laplacian established.

Approximation of the magnetic spectrum by a Julia set for equal fluxes.

Explicit computation of the Laplacian determinant and asymptotic complexity for certain flux values.

Abstract

The magnetic Laplacian (also called the line bundle Laplacian) on a connected weighted graph is a self-adjoint operator wherein the real-valued adjacency weights are replaced by unit complex-valued weights $\{\omega_{xy}\}_{xy\in E}$, satisfying the condition that $\omega_{xy}=\overline{\omega_{yx}}$ for every directed edge $xy$. When properly interpreted, these complex weights give rise to magnetic fluxes through cycles in the graph. In this paper we establish the spectrum of the magnetic Laplacian, as a set of real numbers with multiplicities, on the Sierpinski gasket graph ($SG$) where the magnetic fluxes equal $\alpha$ through the upright triangles, and $\beta$ through the downright triangles. This is achieved upon showing the spectral self-similarity of the magnetic Laplacian via a 3-parameter map $\mathcal{U}$ involving non-rational functions, which takes into account $\alpha$, $\beta$, and the spectral parameter $\lambda$. In doing so we provide a quantitative answer to a question of Bellissard [Renormalization Group Analysis and Quasicrystals (1992)] on the relationship between the dynamical spectrum and the actual magnetic spectrum. Our main theorems lead to two applications. In the case $\alpha=\beta$, we demonstrate the approximation of the magnetic spectrum by the filled Julia set of $\mathcal{U}$, the Sierpinski gasket counterpart to Hofstadter's butterfly. Meanwhile, in the case $\alpha,\beta\in \{0,\frac{1}{2}\}$, we can compute the determinant of the magnetic Laplacian determinant and the corresponding asymptotic complexity.