Dimensional crossover of class D real-space topological invariants
Martin Rodriguez-Vega, Terry A. Loring, Alexander Cerjan
TL;DR
The paper addresses how topological properties evolve when dimensionality is varied in symmetry class D systems, particularly for Shiba lattices where 2D circular islands can crossover to 1D chains. It introduces a real-space spectral localizer framework that yields local markers $|C_{\boldsymbol{\lambda}}^\textrm{L}|$ and $z_{2,x}$, along with a localizer gap $\mu_{\boldsymbol{\lambda}}$, to track topology across dimensions without relying on translational symmetry. Applied to Shiba lattices, the study maps a 2D island to a 1D chain, showing topological transitions signaled by changes in local markers and gaps, including coexistence regimes and disorder-induced robustness of 1D topology. The framework is general, robust to disorder, and extensible to other symmetry classes and higher dimensions, offering a computationally efficient route to guide materials design (e.g., slab thickness or nanowire geometry) while preserving topological properties.
Abstract
The topological properties of a material depend on its symmetries, parameters, and spatial dimension. Changes in these properties due to parameter and symmetry variations can be understood by computing the corresponding topological invariant. Since topological invariants are typically defined for a fixed spatial dimension, there is no existing framework to understand the effects of changing spatial dimensions via invariants. Here, we introduce a framework to study topological phase transitions as a system's dimensionality is altered using real-space topological markers. Specifically, we consider Shiba lattices, which are class D materials formed by magnetic atoms on the surface of a conventional superconductor, and characterize the evolution of their topology when an initial circular island is deformed into a chain. We also provide a measure of the corresponding protection against disorder. Our framework is generalizable to any symmetry class and spatial dimension, potentially guiding the design of materials by identifying, for example, the minimum thickness of a slab required to maintain three-dimensional topological properties.
