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Volumn 60, Issue 3, 1999, Pages 2761-2766

Characteristic distributions of finite-time Lyapunov exponents

Author keywords

[No Author keywords available]

Indexed keywords

ARTICLE;

EID: 0001078820     PISSN: 1063651X     EISSN: None     Source Type: Journal    
DOI: 10.1103/PhysRevE.60.2761     Document Type: Article
Times cited : (90)

References (33)
  • 7
    • 0003582543 scopus 로고
    • Cambridge University Press, Cambridge
    • E. Ott, Chaos in Dynamical Systems (Cambridge University Press, Cambridge, 1994).
    • (1994) Chaos in Dynamical Systems
    • Ott, E.1
  • 12
    • 85036338878 scopus 로고    scopus 로고
    • The results of this section apply to continuous systems (flows) as well, and the formalism can be derived in an analogous manner
    • The results of this section apply to continuous systems (flows) as well, and the formalism can be derived in an analogous manner.
  • 14
    • 85036138548 scopus 로고    scopus 로고
    • 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
    • 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.
  • 23
    • 85036317258 scopus 로고    scopus 로고
    • Such corrections can depend on the coordinates used (unlike the multifractal formalism itself)
    • Such corrections can depend on the coordinates used (unlike the multifractal formalism itself).
  • 24
    • 85036169473 scopus 로고    scopus 로고
    • 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
    • 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.
  • 25
    • 85036307286 scopus 로고    scopus 로고
    • 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
    • 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.
  • 30
    • 85036397329 scopus 로고    scopus 로고
    • 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
    • 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.


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.