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    Chaotic systems exhibit sensitive dependence on initial c... — Carmelics
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    Challenges→Fully analytical models could in principle achieve an exact match between model states and target system states

    Chaotic systems exhibit sensitive dependence on initial conditions, meaning any finite specification of initial state—however precise—diverges exponentially from the true trajectory.

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    Key Terms

    Chaotic systems(as used in mathematics and physics)
    Systems that appear random and unpredictable even though they follow fixed rules, because they're so sensitive to starting conditions.
    Diverges exponentially(as used in mathematics and systems behavior)
    Moves apart at an increasingly rapid rate, where the gap grows faster and faster rather than staying constant or growing slowly.
    Finite specification(as used in epistemology and measurement)
    A description of something that has limits or boundaries—in this case, measuring initial conditions with only a limited amount of precision, not perfect precision.
    Sensitive dependence on initial conditions(as used in chaos theory and predictability discussions)
    The idea that even microscopic differences in how a system starts will eventually produce wildly different results—like how a butterfly's wing flap could theoretically trigger a chain of events leading to a hurricane.

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    True trajectory(as used in epistemology and philosophy of science)
    The actual, real path a system would follow if we had perfect information and no measurement errors—the path it's 'supposed' to take.
    initial conditions(Stipulated by convention to ground the causal framework)
    Starting states of affairs that are stipulated to be caused, serving as the base case in a causal account of true propositions

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    Truth & Knowledge1 linkedModality & Possibility1 linked

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