Equivalence classes of Fibonacci lattices and their similarity properties

N. Lo Gullo, L. Vittadello, M. Bazzan, and L. Dell'Anna
Phys. Rev. A 94, 023846 – Published 26 August 2016

Abstract

We investigate, theoretically and experimentally, the properties of Fibonacci lattices with arbitrary spacings. Different from periodic structures, the reciprocal lattice and the dynamical properties of Fibonacci lattices depend strongly on the lengths of their lattice parameters, even if the sequence of long and short segment, the Fibonacci string, is the same. In this work we show that by exploiting a self-similarity property of Fibonacci strings under a suitable composition rule, it is possible to define equivalence classes of Fibonacci lattices. We show that the diffraction patterns generated by Fibonacci lattices belonging to the same equivalence class can be rescaled to a common pattern of strong diffraction peaks thus giving to this classification a precise meaning. Furthermore we show that, through the gap labeling theorem, gaps in the energy spectra of Fibonacci crystals belonging to the same class can be labeled by the same momenta (up to a proper rescaling) and that the larger gaps correspond to the strong peaks of the diffraction spectra. This observation makes the definition of equivalence classes meaningful also for the spectral and therefore dynamical and thermodynamical properties of quasicrystals. Our results apply to the more general class of quasiperiodic lattices for which similarity under a suitable deflation rule is in order.

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  • Received 27 January 2016
  • Revised 8 May 2016

DOI:https://doi.org/10.1103/PhysRevA.94.023846

©2016 American Physical Society

Physics Subject Headings (PhySH)

Condensed Matter, Materials & Applied Physics

Authors & Affiliations

N. Lo Gullo1,2, L. Vittadello1, M. Bazzan1,2, and L. Dell'Anna1,2

  • 1Dipartimento di Fisica e Astronomia, Università degli Studi di Padova, 35131 Padova, Italy
  • 2CNISM, Sezione di Padova, Padova 35131, Italy

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Issue

Vol. 94, Iss. 2 — August 2016

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