2013
DOI: 10.1103/physreve.87.062904
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Scaling invariance of the diffusion coefficient in a family of two-dimensional Hamiltonian mappings

Abstract: We consider a family of two-dimensional nonlinear area-preserving mappings that generalize the Chirikov standard map and model a variety of periodically forced systems. The action variable diffuses in increments whose phase is controlled by a negative power of the action and hence effectively uncorrelated for small actions, leading to a chaotic sea in phase space. For larger values of the action the phase space is mixed and contains a family of elliptic islands centered on periodic orbits and invariant Kolmogo… Show more

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Cited by 12 publications
(20 citation statements)
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“…Both analytical and numerical results in this paper, give robustness to the theory of diffusion analysis, concerning the survival probability curves, as shown also in [42]. In the future, it would be interesting to try to expand this formalism to other more complex dynamical systems, like billiards for instance.…”
Section: Final Remarks and Conclusionsupporting
confidence: 55%
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“…Both analytical and numerical results in this paper, give robustness to the theory of diffusion analysis, concerning the survival probability curves, as shown also in [42]. In the future, it would be interesting to try to expand this formalism to other more complex dynamical systems, like billiards for instance.…”
Section: Final Remarks and Conclusionsupporting
confidence: 55%
“…Considering yet V hole = h and a change in the notation of the sum index from the Fourier series expansion, from l/2 to (k + 1/2), where odd and even terms are considered, one can obtain [42] …”
Section: B Transport and Diffusionmentioning
confidence: 99%
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“…As examples, we can mention some well known mappings having in common the choice of f (θ n , I n+1 ) = sin(θ n ) and h(θ n , I n+1 ) = 0: Chirikov's standard map [2,3], g(I n+1 ) = I n+1 , also known as Taylor-Chirikov's map; the bouncer model [4], g(I n+1 ) = ξ I n+1 ; the logistic twist map [5], g(I n+1 ) = I n+1 + ξ I 2 n+1 ; the Fermi-Ulam accelerator model [6,7], g(I n+1 ) = 2/I n+1 ; a generalized Fermi-Ulam accelerator (FU) model [8][9][10][11],…”
Section: Introduction and Modelmentioning
confidence: 99%