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    Any growth in uncertainties between neighboring trajector... — Carmelics
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    Challenges→Global Lyapunov exponents may lack physical significance for real-world systems

    Any growth in uncertainties between neighboring trajectories can be fitted with an exponential function

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    Global Lyapunov exponents may lack physical significance for real-world systemsGlobal Lyapunov exponents only apply to infinitesimal uncertaintiesIf any exponential can be fitted to the data, the choice of parameter is arbitra...Uncertainties in physical systems are always larger than infinitesimal

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    Any growth in distance between neighboring trajectories can be fitted ...90%Statistical measures may yield on average exponential growth in uncert...76%Classical chaotic trajectories exhibit exponential instability73%Exponential growth in measured uncertainties for a physical data set d...73%

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    The other worry is that the definitions we have been considering may only hold for our mathematical models, but may not be applicable to actual target systems. The formal definitions seek to fully characterize chaotic behavior in mathematical models, but we are also interested in capturing chaotic behavior in physical and biological systems as well. Phenomenologically, the kinds of chaotic behaviors we see in actual-world systems exhibit features such as SDIC, aperiodicity, unpredictability, ins

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