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Energy estimates for wave amplification in quasiperiodic Fibonacci time-modulated media

Ilya Ruchiev, Bryn Davies

Abstract

Fibonacci time quasicrystals can be approximated by temporal supercells to reveal a fractal collection of $k$ gaps, in which wave energy is amplified exponentially. These estimates are validated by the observation of "super" $k$ gaps that are independent of the duration of the temporal supercell. This approach predicts the regions of parametric amplification and provides accurate estimates of the energy growth rate.

Energy estimates for wave amplification in quasiperiodic Fibonacci time-modulated media

Abstract

Fibonacci time quasicrystals can be approximated by temporal supercells to reveal a fractal collection of gaps, in which wave energy is amplified exponentially. These estimates are validated by the observation of "super" gaps that are independent of the duration of the temporal supercell. This approach predicts the regions of parametric amplification and provides accurate estimates of the energy growth rate.

Paper Structure

This paper contains 12 equations, 4 figures.

Figures (4)

  • Figure 1: Piecewise-constant modulation according to a Fibonacci rule. (a) The coefficient $\Omega(t)$ alternates between $\Omega_0$ and either $\Omega_A$ or $\Omega_B$, depending on the corresponding letter in the Fibonacci word. (b) For certain parameter values (here, $k=3.2$) the solution grows exponentially. (c) The (exponential) rate of energy growth can be estimated using a supercell approximation.
  • Figure 2: Dispersion curves for the temporal supercells given by the Fibonacci words (a) $\mathcal{F}_3=ABA$ and (b) $\mathcal{F}_5=ABAABABA$. The $k$ gaps are shaded above each plot.
  • Figure 3: Supercell approximations can be used to predict stability. Here, (a) The pattern of $k$ gaps for successive supercell approximations. The $k$ gaps are shaded for successive Fibonacci unit cells, indexed by $n$. (b) The growth rate, estimated using the $\mathcal{F}_5$ supercell. The energy $E(t)$ for (c) $k=1.25$ and (d) $k=2.13$. In both cases, the data are plotted alongside the slope predicted by the $\mathcal{F}_5$ supercell approximation.
  • Figure 4: The supercell estimates for the energy growth rate converge as the duration of the unit cell is increased. Here, $k=3.2$ is in a super $k$ gap (see Fig. \ref{['fig2']}(a)). The growth rate is estimated as $E(t)=\exp(r_n t)$ where the growth rate $r_n$ is based on the $\mathcal{F}_n$ supercell. The convergence of the growth rates $r_n$ is illustrated inset.