On the Relationship between Local Lyapunov Characteristic Numbers, Largest Eigenvalues and Maximum Stretching Parameters
The Dynamics of Small Bodies in the Solar System, 1999
The computation of the Lyapunov Characteristic Indicators (LCI hereafter) remains the only tool w... more The computation of the Lyapunov Characteristic Indicators (LCI hereafter) remains the only tool which allows to quantify the chaoticity of an orbit for a given dynamical system and given initial conditions. The introduction of the Local Lyapunov Characteristic Numbers (Froeschle et al. 1993, LLCNs hereafter), called also Stretching parameters (Contopoulos 1995), has allowed to reveal the complex structure of both the regular and the chaotic zone. Already in 1970 (Froeschle 1970) some connection was made between the characterization of chaos and the variation of the largest eigenvalue of the tangential mapping D(T n ) of the mapping T n , where T n maps the point P1 to Pn through n iterations of the mapping T. Through the work of Galgani, Benettin et al. (1980) the attention has been focused on the variation of the evolution of a given initial tangential vector whose length \( \left\| {\mathop {{v_n}}\limits^ \to} \right\| \) after n-iterations seems to be closely connected to the absolute value of the above defined eigenvalue. In fact the largest LCI is well approximated by ln |λn|/n and this corresponds also to ln \( \left\| {{{\mathop v\limits^ \to}_n}} \right\|/n \). In both cases a renormalization procedure was applied either on the coefficients of the tangential mapping or on the length of the vector \( {\mathop v\limits^ \to_{_n}} \). The LLCNs have been defined using the second approach, in fact if we renormalize the tangential vector at each iteration we can consider the set of its norms (the LLCNs) as a distribution whose mean is the largest Lyapunov exponent. The aim of the paper is to explore if there exists some connection between the LLCNs and the distribution of the largest eigenvalues of the mapping D(T) which maps P k-1 to P k
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Papers by E. Lega