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7
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0003582543
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Cambridge University Press, Cambridge
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E. Ott, Chaos in Dynamical Systems (Cambridge University Press, Cambridge, 1994).
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(1994)
Chaos in Dynamical Systems
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Ott, E.1
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9
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0008494528
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A. Wolf, J.B. Swift, H.L. Swinney, and J.A. Vastano, Physica D 16, 285 (1985).
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(1985)
Physica D
, vol.16
, pp. 285
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Wolf, A.1
Swift, J.B.2
Swinney, H.L.3
Vastano, J.A.4
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11
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36149037990
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R. Benzi, G. Paladin, G. Parisi, and A. Vulpiani, J. Phys. A 18, 2157 (1985).
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(1985)
J. Phys. A
, vol.18
, pp. 2157
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Benzi, R.1
Paladin, G.2
Parisi, G.3
Vulpiani, A.4
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12
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85036338878
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The results of this section apply to continuous systems (flows) as well, and the formalism can be derived in an analogous manner
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The results of this section apply to continuous systems (flows) as well, and the formalism can be derived in an analogous manner.
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14
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85036138548
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The nature of these correlations can be seen in the plots of (Formula presented) versus (Formula presented) where for the Gaussian case, points will be uniformly distributed around the mean, while for the cases of intermittency and fully developed chaos, points are heavily concentrated in specific regions
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The nature of these correlations can be seen in the plots of (Formula presented) versus (Formula presented) where for the Gaussian case, points will be uniformly distributed around the mean, while for the cases of intermittency and fully developed chaos, points are heavily concentrated in specific regions.
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23
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85036317258
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Such corrections can depend on the coordinates used (unlike the multifractal formalism itself)
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Such corrections can depend on the coordinates used (unlike the multifractal formalism itself).
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24
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85036169473
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It is important that the finite-time duration over which the local Lyapunov exponents are calculated not be too short. For N below 10 in the discrete logistic mapping, the distributions are very atypical and change very significantly with N. Furthermore, the larger N distributions are more robust inasmuch as they are stable under smaller sample sizes
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It is important that the finite-time duration over which the local Lyapunov exponents are calculated not be too short. For N below 10 in the discrete logistic mapping, the distributions are very atypical and change very significantly with N. Furthermore, the larger N distributions are more robust inasmuch as they are stable under smaller sample sizes.
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25
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85036307286
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The effect of noise in the logistic map has been extensively studied 25, and it is known that noise generally lowers the threshold for chaos: systems with additive noise have a larger Lyapunov exponent for smaller nonlinearity. As a consequence, the finite-time Lyapunov exponents as well as their distributions can change considerably under added noise. We examined these effects by adding noise in the dynamics, (Formula presented) where (Formula presented) is the noise amplitude and the random variable (Formula presented) is (Formula presented) correlated in time. The global structure of the densities remains qualitatively unchanged for low noise amplitudes, although with increased noise strengths, the distributions all tend to the Gaussian
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The effect of noise in the logistic map has been extensively studied 25, and it is known that noise generally lowers the threshold for chaos: systems with additive noise have a larger Lyapunov exponent for smaller nonlinearity. As a consequence, the finite-time Lyapunov exponents as well as their distributions can change considerably under added noise. We examined these effects by adding noise in the dynamics, (Formula presented) where (Formula presented) is the noise amplitude and the random variable (Formula presented) is (Formula presented) correlated in time. The global structure of the densities remains qualitatively unchanged for low noise amplitudes, although with increased noise strengths, the distributions all tend to the Gaussian.
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30
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85036397329
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Such distributions are seen in cluster dynamics at energies corresponding to solid-liquid coexistence; this is a characteristic feature of phase-change phenomena in finite systems
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Such distributions are seen in cluster dynamics at energies corresponding to solid-liquid coexistence; this is a characteristic feature of phase-change phenomena in finite systems.
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33
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0000723060
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Phys. Rev. Lett.R. Benzi, L. Biferale, G. Paladin, A. Vulpiani, and M. Vergassola, 67, 2299 (1991).
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(1991)
Phys. Rev. Lett.
, vol.67
, pp. 2299
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Benzi, R.1
Biferale, L.2
Paladin, G.3
Vulpiani, A.4
Vergassola, M.5
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