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Article detail · 2025

Pseudo-hermiticity, anti-pseudo-hermiticity, and generalized parity-time-reversal symmetry at exceptional points

Journal

Journal of Mathematical Physics
OpenAlex SJR Q2 JCR Q3 Citations 3 Percentile 89.8% FWCI 2.6
Year
2025
Type
article

Data source split

  • YÖKSİS venue Journal of Mathematical Physics
  • OpenAlex OpenAlex enrichment (abstract, citations, topics)

Abstract

OpenAlex · English

For a diagonalizable linear operator H:H→H acting in a separable Hilbert space H, i.e., an operator with a purely point spectrum, eigenvalues with finite algebraic multiplicities, and a set of eigenvectors that form a Reisz basis of H, the pseudo-Hermiticity of H is equivalent to its generalized parity-time-reversal (PT) symmetry, where the latter means the existence of an antilinear operator X:H→H satisfying [X,H]=0 and X2=1. The original proof of this result makes use of the anti-pesudo-Hermiticity of every diagonalizable operator L:H→H, which means the existence of an antilinear Hermitian bijection τ:H→H satisfying L† = τL τ−1. We establish the validity of this result for block-diagonalizable operators, i.e., those which have a purely point spectrum, eigenvalues with finite algebraic multiplicities, and a set of generalized eigenvectors that form a Jordan Reisz basis of H. This allows us to generalize the original proof of the equivalence of pseudo-Hermiticity and generalized PT-symmetry for diagonalizable operators to block-diagonalizable operators. For a pair of pseudo-Hermitian operators acting respectively in two-dimensional and infinite-dimensional Hilbert spaces, we obtain explicit expressions for the antlinear operators τ and X that realize their anti-pseudo-Hermiticity and generalized PT-symmetry at and away from the exceptional points.

Topics

Citations

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3 citations

OpenAlex cited_by_count (cache / database)

1 publications in the local catalog that cite this work (OpenAlex reference match; not the full global list).

  1. Reciprocity theorem and fundamental transfer matrix 2025 Citations 1 · OpenAlex

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