• Letter

Linear level repulsions near exceptional points of non-Hermitian systems

C. Wang and X. R. Wang
Phys. Rev. B 106, L081118 – Published 18 August 2022
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Abstract

The nearest-neighbor level-spacing distributions are a fundamental quantity of disordered systems and are classified into different universality classes. They are the Wigner-Dyson and the Poisson functions for extended and localized states in Hermitian systems, respectively. The distributions follow the Ginibre functions for the non-Hermitian systems whose eigenvalues are complex and away from exceptional points (EPs). However, the level-spacing distributions of disordered non-Hermitian systems near EPs are still unknown, and a corresponding random matrix theory is absent. Here, we show another class of universal level-spacing distributions in the vicinity of EPs of non-Hermitian Hamiltonians. Two distribution functions, PSP(s) for the symmetry-preserved phase and PSB(s) for the symmetry-broken phase, are needed to describe the nearest-neighbor level-spacing distributions near EPs. Surprisingly, both PSP(s) and PSB(s) are proportional to s for small s, or linear level repulsions, in contrast to cubic level repulsions of the Ginibre ensembles. For disordered non-Hermitian tight-binding Hamiltonians, PSP(s) and PSB(s) can be well described by a surmise P̃ep(s)=c̃1sexp[c̃2sα̃] in the thermodynamic limit (infinite systems) with a constant α̃ that depends on the localization nature of states at EPs rather than the dimensionality of non-Hermitian systems and the order of EPs.

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  • Received 4 April 2022
  • Revised 27 July 2022
  • Accepted 8 August 2022

DOI:https://doi.org/10.1103/PhysRevB.106.L081118

©2022 American Physical Society

Physics Subject Headings (PhySH)

Statistical Physics & ThermodynamicsCondensed Matter, Materials & Applied Physics

Authors & Affiliations

C. Wang1,* and X. R. Wang2,3,†

  • 1Center for Joint Quantum Studies and Department of Physics, School of Science, Tianjin University, Tianjin 300350, China
  • 2Physics Department, The Hong Kong University of Science and Technology (HKUST), Clear Water Bay, Kowloon, Hong Kong
  • 3HKUST Shenzhen Research Institute, Shenzhen 518057, China

  • *Corresponding author: physcwang@tju.edu.cn
  • Corresponding author: phxwan@ust.hk

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Issue

Vol. 106, Iss. 8 — 15 August 2022

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