Chaos theory (nonfiction): Difference between revisions

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* [[Crimes against mathematical constants]]
* [[Crimes against mathematical constants]]
* [[Did you step on a butterfly in Texas during a tornado while watching Jurassic Park in Brazil under the influence of JJ-180?]]
* [[Gnomon algorithm]]
* [[Gnomon algorithm]]
* [[Gnomon Chronicles]]
* [[Gnomon Chronicles]]
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* [[Benoit Mandelbrot (nonfiction)]]
* [[Benoit Mandelbrot (nonfiction)]]
* [[Mathematics (nonfiction)]]
* [[Mathematics (nonfiction)]]
* [[Stability theory (nonfiction)]]


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Latest revision as of 12:28, 2 November 2020

Visualization of a Lorenz system, one of the classic images of chaos theory.

In mathematics, chaos theory refers to the behavior of dynamical systems that are highly sensitive to initial conditions -- a response popularly referred to as the butterfly effect.

Small differences in initial conditions (such as those due to rounding errors in numerical computation) yield widely diverging outcomes for such dynamical systems, rendering long-term prediction impossible in general.

This happens even though these systems are deterministic, meaning that their future behavior is fully determined by their initial conditions, with no random elements involved.

In other words: the deterministic nature of these systems does not make them predictable.

The theory was summarized by Edward Norton Lorenz as:

Chaos: When the present determines the future, but the approximate present does not approximately determine the future.

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