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Higher-order topology protected by latent crystalline symmetries

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arxiv 2405.02704 v3 pith:JIYWIW2J submitted 2024-05-04 cond-mat.mes-hall cond-mat.dis-nncond-mat.str-elquant-ph

classification cond-mat.mes-hallcond-mat.dis-nncond-mat.str-elquant-ph
keywords latentcrystallinesymmetryhigher-ordertopologicalcornerinsulatorsprotected
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We demonstrate that rotation symmetry is not a necessary requirement for the existence of fractional corner charges in Cn-symmetric higher-order topological crystalline insulators. Instead, it is sufficient to have a latent rotation symmetry, which may be revealed upon performing an isospectral reduction on the system. We introduce the concept of a filling anomaly for latent crystalline symmetric systems, and propose modified topological invariants. The notion of higher-order topology in two dimensions protected by Cn symmetry is thus generalized to a protection by latent symmetry. Our claims are corroborated by concrete examples of models that show non-trivial corner charge in the absence of Cn-symmetry. This work extends the classification of topological crystalline insulators to include latent symmetries.

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Cited by 3 Pith papers

Reviewed papers in the Pith corpus that reference this work. Sorted by Pith novelty score. Full citation record

  1. Fractality-induced Topology

    cond-mat.mes-hall 2024-11 conditional novelty 7.0 of 10

    Uniform nearest-neighbor hopping on fractal lattices produces higher-order topological corner states through an effective energy-dependent breathing mechanism revealed by isospectral reduction.

  2. High-root topological edge-state bands

    cond-mat.mes-hall 2025-08 unverdicted novelty 6.0 of 10

    Edge-state bands of high-root topological insulators are mapped to impurity bands of a uniform chain, yielding a no-diagonalization route to edge-state levels.

  3. Latent Haldane Models

    cond-mat.mes-hall 2024-11 conditional novelty 6.0 of 10

    Decorated two-dimensional lattices are shown to reduce, via isospectral reduction, to energy-dependent Haldane models with latent mass terms, enabling analytic topological phase diagrams.

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