2011
DOI: 10.1103/physrevlett.106.234101
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Ratchet Transport and Periodic Structures in Parameter Space

Abstract: This work analyzes the parameter space of a discrete ratchet model and gives direct connections between chaotic domains and a family of isoperiodic stable structures with the ratchet current. The isoperiodic structures, where larger currents are usually observed inside, appear along preferred direction in the parameter space giving a guide to follow the current. Currents in parameter space provide a direct measure of the momentum asymmetry of the multistable and chaotic attractors times the size of the corresp… Show more

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Cited by 63 publications
(91 citation statements)
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“…Along the diagonal dark-green line (below the ISS B 1 ) where large activations (∆ ∼ 6) occur in Fig. 3(c), we conclude from classical results [13] that the activation is due to a crisis bifurcation. Additional numerical results revealed that the activation close to K = 2.5 and γ = 0.85 is related to a symmetry breaking of the multistable attractors.…”
Section: Quantum Activation Of the Ratchet Currentmentioning
confidence: 66%
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“…Along the diagonal dark-green line (below the ISS B 1 ) where large activations (∆ ∼ 6) occur in Fig. 3(c), we conclude from classical results [13] that the activation is due to a crisis bifurcation. Additional numerical results revealed that the activation close to K = 2.5 and γ = 0.85 is related to a symmetry breaking of the multistable attractors.…”
Section: Quantum Activation Of the Ratchet Currentmentioning
confidence: 66%
“…The quantum-classical transition was studied by means of a comparison between the C S and C C . We show how and to which extent the classical generic isoperiodic stable structures [13,14,20] are destroyed by quantum fluctuations. Even though these structures become blurred and start to disappear in the quantum world, their sharp borders tend to persist when the correlation between quantum and classical currents is investigated.…”
Section: Discussionmentioning
confidence: 99%
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“…The colors codify some measure that can be computed on the model. Usually, this measure is the Lyapunov exponent [1,3,7,9,13,14], periods [7,14], or other invariant measure [3]. This procedure allows us to identify regions of periodic, chaotic, and hyperchaotic behavior, and recently it is applied in several models.…”
Section: Introductionmentioning
confidence: 99%