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A Hamiltonian model of the Fibonacci quasicrystal using non-local interactions: simulations and spectral analysis

Author

Listed:
  • Amrik Sen

    (School of Mathematics, Thapar Institute of Engineering & Technology)

  • Carlos Castro Perelman

    (Centre for Theoretical and Physical Sciences, Clark Atlanta University
    Ronin Institute)

Abstract

This article presents a Hamiltonian architecture based on vertex types and empires for demonstrating the emergence of aperiodic order in one dimension by a suitable prescription for breaking translation symmetry. At the outset, the paper presents different algorithmic, geometrical, and algebraic methods of constructing empires of vertex configurations of a given lattice. These empires have non-local scope and form the building blocks of the proposed lattice model. This model is tested via Monte Carlo simulations beginning with randomly arranged N tiles. The simulations clearly establish the Fibonacci configuration, which is a one-dimensional quasicrystal of length N, as the final relaxed state of the system. The Hamiltonian is promoted to a matrix operator form by performing dyadic tensor products of pairs of interacting empire vectors followed by a summation over all permissible configurations. A spectral analysis of the Hamiltonian matrix is performed and a theoretical method is presented to find the exact solution of the attractor configuration that is given by the Fibonacci chain as predicted by the simulations. Finally, a precise theoretical explanation is provided which shows that the Fibonacci chain is the most probable ground state. The proposed Hamiltonian is a mathematical model of the one dimensional Fibonacci quasicrystal. Graphical abstract

Suggested Citation

  • Amrik Sen & Carlos Castro Perelman, 2020. "A Hamiltonian model of the Fibonacci quasicrystal using non-local interactions: simulations and spectral analysis," The European Physical Journal B: Condensed Matter and Complex Systems, Springer;EDP Sciences, vol. 93(4), pages 1-14, April.
  • Handle: RePEc:spr:eurphb:v:93:y:2020:i:4:d:10.1140_epjb_e2020-100544-y
    DOI: 10.1140/epjb/e2020-100544-y
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