Hidden Self Duality and Exact Mobility Edges in Quasiperiodic Network Models
In one-dimensional quasiperiodic systems, only a few models with exact mobility edges (MEs) have been constructed using generalized self duality theory, Avila's global theory, or the renormalization group method. This raises an intriguing question of whether we can realize more physical models with exact solvable MEs. In this Letter, we uncover the hidden self duality within a class of quasiperiodic network models constituted by periodic and quasiperiodic sites. Although the original Hamiltonians appear to lack self duality, their effective Hamiltonians obtained by integrating out the periodic sites exhibit self duality, which yield MEs. The well-studied mosaic model, which is the simplest case of quasiperiodic network models, was previously thought to exhibit MEs due to the absence of self duality, but we show that they actually arise from the hidden self duality. Using the effective Hamiltonian, we further introduce the concept of resonant states to understand the shape of MEs. Finally, we present in detail how to determine the MEs in various network models, including some non-Hermitian models, based on the hidden self duality. These predictions can be experimentally realized using optical and acoustic waveguide arrays. Our work can greatly advance our understanding of MEs in Anderson transition.
Authors
- Aimin Guo (ORCID: https://orcid.org/0000-0003-2662-8990)
- Zijing Lin (ORCID: https://orcid.org/0000-0001-9270-1717)
- Ming Gong (ORCID: https://orcid.org/0000-0003-1055-7147)
- Xiaoshui Lin (ORCID: https://orcid.org/0000-0002-1788-2623)
- Guang‐Can Guo
- Karl J. Friston
Institutions
- University of Science and Technology of China (CN)
- Central South University (CN)
Publication Details
- Journal
- Physical Review Letters
- Published
- 2025-05-29
- DOI
- https://doi.org/10.1103/rl1f-ptzq
- Citations
- 5
- Primary Topic
- Opinion Dynamics and Social Influence
- Type
- article
- Field-Weighted Citation Impact
- 6.62
Funders
- National Natural Science Foundation of China
- Chinese Academy of Sciences