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LATENT REFERENCES / TAG1

Chaos: Sensitivity to Initial Conditions

This reference note belongs to Tag1 in Latent References, an archive curated by Keigo Yoshida. Its archive region is Chaos theory · Lorenz equations. The note preserves its source text and links so that readers can trace the material behind the 3D map.

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Tag1
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Chaos theory · Lorenz equations

Archived reference note

English translation of the archived note. JP shows the original text. Source links and literal code are retained; the translation does not update or independently verify the source claims.

Sensitivity to initial conditions in chaos means that even tiny differences in the starting state (initial conditions) lead to greatly differing subsequent results as time passes. Characteristics of sensitivity to initial conditions • Butterfly effect: Famous for the analogy that “tiny air disturbances as slight as a butterfly flapping its wings greatly affect weather such as typhoons far away.” • Impossibility of long-term prediction: even in systems whose futures are fully determined by physical laws and the like (deterministic systems), tiny initial measurement errors expand rapidly over time, making accurate prediction of the distant future impossible. • Familiar examples: Weather forecasts (accurate several days ahead, difficult weeks ahead), irregular motion of double pendulums, etc.

Source updated 2026-10-06 · Snapshot 2026-10-08

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