Exact solution of the relationship between the eigenvalue discreteness and the behavior of eigenstates in Su-Schrieffer-Heeger lattices
Huitong Wei, Xiumei Wang, and Xingping Zhou

TL;DR
This paper derives an exact relationship between eigenvalue discreteness and eigenstate localization in 1D SSH lattices, revealing a logarithmic correlation that applies to both Hermitian and non-Hermitian cases.
Contribution
It provides an exact analytical solution linking eigenvalue discreteness and eigenstate behavior in SSH lattices, extending the analysis to non-Hermitian systems with real eigenvalues.
Findings
Logarithmic relationship between eigenvalue discreteness and localization
Exact solution considering zero and non-zero modes in Hermitian case
Extension of the relationship to non-Hermitian systems with real eigenvalues
Abstract
Eigenstate localization and bulk-boundary correspondence are fundamental phenomena in one-dimensional (1D) Su-Schrieffer-Heeger (SSH) lattices. The eigenvalues discreteness and the eigenstates localization exhibit a high degree of consistency as system information evolve. We explore the relationship between the eigenvalue discreteness and the eigenstates behavior in 1D SSH lattices. The discreteness fraction and the inverse participation ratio (IPR) combined with a Taylor expansion are utilized to describe the relationship. In the Hermitian case, we employ the bulk-edge correspondence and the perturbation theory to derive an exact solution considering both zero and non-zero modes. We also extend our analysis to the non-Hermitian cases, assuming that eigenvalues remain purely real. Our findings reveal a logarithmic relationship between the degree of eigenvalue discreteness and…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsMatrix Theory and Algorithms · Advanced Research in Systems and Signal Processing · Spectral Theory in Mathematical Physics
