Stability of topological edge states under strong nonlinear effects

Rajesh Chaunsali, Haitao Xu, Jinkyu Yang, Panayotis G. Kevrekidis, and Georgios Theocharis
Phys. Rev. B 103, 024106 – Published 15 January 2021

Abstract

We examine the role of strong nonlinearity on the topologically robust edge state in a one-dimensional system. We consider a chain inspired from the Su-Schrieffer-Heeger model but with a finite-frequency edge state and the dynamics governed by second-order differential equations. We introduce a cubic onsite nonlinearity and study this nonlinear effect on the edge state's frequency and linear stability. Nonlinear continuation reveals that the edge state loses its typical shape enforced by the chiral symmetry and becomes generally unstable due to various types of instabilities that we analyze using a combination of spectral stability and Krein signature analysis. This results in an initially excited nonlinear-edge state shedding its energy into the bulk over a long time. However, the stability trends differ both qualitatively and quantitatively when softening and stiffening types of nonlinearity are considered. In the latter, we find a frequency regime where nonlinear edge states can be linearly stable. This enables high-amplitude edge states to remain spatially localized without shedding their energy, a feature that we have confirmed via long-time dynamical simulations. Finally, we examine the robustness of frequency and stability of nonlinear edge states against disorder, and find that those are more robust under a chiral disorder compared to a nonchiral disorder. Moreover, the frequency-regime where high-amplitude edge states were found to be linearly stable remains intact in the presence of a small amount of disorder of both types.

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  • Received 29 October 2020
  • Accepted 28 December 2020

DOI:https://doi.org/10.1103/PhysRevB.103.024106

©2021 American Physical Society

Physics Subject Headings (PhySH)

Condensed Matter, Materials & Applied PhysicsNonlinear Dynamics

Authors & Affiliations

Rajesh Chaunsali1,*, Haitao Xu2, Jinkyu Yang3, Panayotis G. Kevrekidis4,5,†, and Georgios Theocharis1,‡

  • 1LAUM, CNRS, Le Mans Université, Avenue Olivier Messiaen, 72085 Le Mans, France
  • 2Center for Mathematical Science, Huazhong University of Science and Technology, Wuhan, Hubei 430074, People's Repubic of China
  • 3Aeronautics and Astronautics, University of Washington, Seattle, Washington 98195-2400, USA
  • 4Department of Mathematics and Statistics, University of Massachusetts, Amherst, Massachusetts 01003-4515, USA
  • 5Mathematical Institute, University of Oxford, OX26GG, United Kingdom

  • *rajeshcuw@gmail.com
  • kevrekid@umass.edu
  • georgiostheocharis@gmail.com

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Issue

Vol. 103, Iss. 2 — 1 January 2021

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