Renormalization approach to the analysis and design of Hermitian and
non-Hermitian interfaces
- URL: http://arxiv.org/abs/2208.14626v2
- Date: Thu, 14 Dec 2023 15:37:03 GMT
- Title: Renormalization approach to the analysis and design of Hermitian and
non-Hermitian interfaces
- Authors: Henning Schomerus
- Abstract summary: I describe a real-space renormalization approach that provides a unifying perspective on interface states in a wide class of Hermitian and non-Hermitian models.
The emerging interface physics are governed by a flow of microscopic interface parameters, and the properties of interface states become linked to the fixed-point topology of this flow.
- Score: 0.0
- License: http://creativecommons.org/licenses/by/4.0/
- Abstract: I describe a concrete and efficient real-space renormalization approach that
provides a unifying perspective on interface states in a wide class of
Hermitian and non-Hermitian models, irrespective of whether they obey a
traditional bulk-boundary principle or not. The emerging interface physics are
governed by a flow of microscopic interface parameters, and the properties of
interface states become linked to the fixed-point topology of this flow. In
particular, the quantization condition of interface states converts identically
into the question of the convergence to unstable fixed points. As its key
merit, the approach can be directly applied to concrete models and utilized to
design interfaces that induce states with desired properties, such as states
with a predetermined and possibly symmetry-breaking energy. I develop the
approach in general, and then demonstrate these features in various settings,
including for the design of circular, triangular and square-shaped complex
dispersion bands and associated arcs at the edge of a two-dimensional system.
Furthermore, I describe how this approach transfers to nonlinear settings, and
demonstrate the efficiency, practicability and consistency of this extension
for a paradigmatic model of topological mode selection by distributed saturable
gain and loss.
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