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    Deriving sensitive dependence on initial conditions (SDIC... — Carmelics
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    Challenges→Formal definitions of chaos may not be applicable to actual physical and biological target systems

    Deriving sensitive dependence on initial conditions (SDIC) requires assumptions about infinite time and infinitesimal uncertainties that target systems violate

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    Formal definitions of chaos may not be applicable to actual physical and biologi...Formal definitions seek to fully characterize chaotic behavior in mathematical m...Target systems run for only a finite amount of timeUncertainties in target systems are always larger than infinitesimal

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    Sensitive dependence on initial conditions is defined in terms of infi...86%Systems exhibiting sensitive dependence on initial conditions (SDIC) h...82%Exponential growth in measured uncertainties for a physical data set d...79%Sensitive dependence on initial conditions (SDIC) means that nonlinear...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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