2003
DOI: 10.1016/s0167-2789(03)00103-9
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Phase space structure of multi-dimensional systems by means of the mean exponential growth factor of nearby orbits

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Cited by 336 publications
(335 citation statements)
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“…We reconstruct the structure of the phase-space in terms of the maximum Lyapunov exponent (Benettin et al 1976) which is expressed through the so called fast indicator Mean Exponential Growth factor of Nearby Orbits (MEGNO, see e.g. Cincotta & Simó 2000;Cincotta et al 2003;Goździewski et al 2001 for details). This dynamical characteristic helps us to classify given sets of initial conditions as regular (leading to quasi-periodic evolution of the system, stable over infinite period of time) or chaotic (leading to irregular phase-space trajectories).…”
Section: Dynamical Stabilitymentioning
confidence: 99%
“…We reconstruct the structure of the phase-space in terms of the maximum Lyapunov exponent (Benettin et al 1976) which is expressed through the so called fast indicator Mean Exponential Growth factor of Nearby Orbits (MEGNO, see e.g. Cincotta & Simó 2000;Cincotta et al 2003;Goździewski et al 2001 for details). This dynamical characteristic helps us to classify given sets of initial conditions as regular (leading to quasi-periodic evolution of the system, stable over infinite period of time) or chaotic (leading to irregular phase-space trajectories).…”
Section: Dynamical Stabilitymentioning
confidence: 99%
“…First-order variational equations have been widely discussed and applied in the literature (e.g., Mikkola & Innanen 1999;Tancredi et al 2001;Cincotta et al 2003). In this paper we derive second-order variational equations for the N-body problem for the first time.…”
Section: Introductionmentioning
confidence: 99%
“…For a long time, first-order variational equations have been widely used to calculate Lyapunov exponents and the Mean Exponential Growth of Nearby Orbits (MEGNO, Cincotta et al 2003) in the astrophysics community (Tancredi et al 2001;Hinse et al 2010). We speculate that higher-order variational equations may be able to improve such chaos indicators.…”
mentioning
confidence: 96%
“…and can therefore be used by various members of the dynamical or geodesian community. The second originality of our software is the availability of two efficient tools of analysis: the indicator of chaos MEGNO (Cincotta & Simó 2000;Cincotta et al 2003;Goździewski et al 2001) and the frequency analysis NAFF 1 The name of this software has been fixed at this time. (Laskar 1999(Laskar , 2003(Laskar , 2005 are directly connected to the numerical integrations.…”
Section: Introductionmentioning
confidence: 99%