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Bloch-like waves in random-walk potentials based on supersymmetry

Author

Listed:
  • Sunkyu Yu

    (Photonic Systems Laboratory, Seoul National University)

  • Xianji Piao

    (Photonic Systems Laboratory, Seoul National University)

  • Jiho Hong

    (Photonic Systems Laboratory, Seoul National University)

  • Namkyoo Park

    (Photonic Systems Laboratory, Seoul National University)

Abstract

Bloch’s theorem was a major milestone that established the principle of bandgaps in crystals. Although it was once believed that bandgaps could form only under conditions of periodicity and long-range correlations for Bloch’s theorem, this restriction was disproven by the discoveries of amorphous media and quasicrystals. While network and liquid models have been suggested for the interpretation of Bloch-like waves in disordered media, these approaches based on searching for random networks with bandgaps have failed in the deterministic creation of bandgaps. Here we reveal a deterministic pathway to bandgaps in random-walk potentials by applying the notion of supersymmetry to the wave equation. Inspired by isospectrality, we follow a methodology in contrast to previous methods: we transform order into disorder while preserving bandgaps. Our approach enables the formation of bandgaps in extremely disordered potentials analogous to Brownian motion, and also allows the tuning of correlations while maintaining identical bandgaps, thereby creating a family of potentials with ‘Bloch-like eigenstates’.

Suggested Citation

  • Sunkyu Yu & Xianji Piao & Jiho Hong & Namkyoo Park, 2015. "Bloch-like waves in random-walk potentials based on supersymmetry," Nature Communications, Nature, vol. 6(1), pages 1-8, November.
  • Handle: RePEc:nat:natcom:v:6:y:2015:i:1:d:10.1038_ncomms9269
    DOI: 10.1038/ncomms9269
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    Cited by:

    1. Farid Makhlouf & Refk Selmi, 2021. "The role of remittances in times of socio-political unrest: Evidence from Tunisia," Working Papers hal-03263815, HAL.
    2. Guo, Xin-Yu & Guo, Qiang & Li, Ren-De & Liu, Jian-Guo, 2018. "Long-term memory of rating behaviors for the online trust formation," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 508(C), pages 254-264.

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