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    Uncertainties in physical systems are always larger than ... — Carmelics
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    Challenges→Global Lyapunov exponents may lack physical significance for real-world systems

    Uncertainties in physical systems are always larger than infinitesimal

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    Any growth in uncertainties between neighboring trajectories can be fitted with ...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...

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    Uncertainties in target systems are always larger than infinitesimal90%Nilsquare infinitesimals are necessarily smaller than Leibnizian diffe...80%No infinitesimal is an upper bound for all other infinitesimals.77%Every finitely large upper bound for the set of infinitesimals can be ...77%

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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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