Long term behavior of the stirred vacuum on a Dirac chain: geometry blur
and the random Slater ensemble
- URL: http://arxiv.org/abs/2310.16693v1
- Date: Wed, 25 Oct 2023 15:04:03 GMT
- Title: Long term behavior of the stirred vacuum on a Dirac chain: geometry blur
and the random Slater ensemble
- Authors: Jos\'e Vinaixa, Bego\~na Mula, Alfredo Dea\~no, Silvia N. Santalla,
Javier Rodr\'iguez-Laguna
- Abstract summary: We characterize the long-term state of the 1D Dirac vacuum stirred by an impenetrable object.
For a slow motion, the effective Floquet Hamiltonian presents features typical of the Gaussian determinant ensemble.
If the obstacle moves fast enough, the effective Floquet Hamiltonian presents a Poissonian behavior.
- Score: 0.0
- License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
- Abstract: We characterize the long-term state of the 1D Dirac vacuum stirred by an
impenetrable object, modeled as the ground state of a finite free-fermionic
chain dynamically perturbed by a moving classical obstacle which suppresses the
local hopping amplitudes. We find two different regimes, depending on the
velocity of the obstacle. For a slow motion, the effective Floquet Hamiltonian
presents features which are typical of the Gaussian orthogonal ensemble, and
the occupation of the Floquet modes becomes roughly homogeneous. Moreover, the
long term entanglement entropy of a contiguous block follows a Gaussian
analogue of Page's law, i.e. a volumetric behavior. Indeed, the statistical
properties of the reduced density matrices correspond to those of a random
Slater determinant, which can be described using the Jacobi ensemble from
random matrix theory. On the other hand, if the obstacle moves fast enough, the
effective Floquet Hamiltonian presents a Poissonian behavior. The nature of the
transition is clarified by the entanglement links, which determine the
effective geometry underlying the entanglement structure, showing that the
one-dimensionality of the physical Hamiltonian dissolves into a random
adjacency matrix as we slow down the obstacle motion.
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