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Some examples of Lyapunov times are: chaotic electrical circuits, about 1 millisecond; weather systems, a few days (unproven); the inner solar system, 4 to 5 million years. [19] In chaotic systems, the uncertainty in a forecast increases exponentially with elapsed time. Hence, mathematically, doubling the forecast time more than squares the ...
An archetypical example is the simple peasant successfully put to the test by a King who wishes a suitable suitor for his daughter. In this fairy tale, no brave and valiant prince or knight succeeds. In this fairy tale, no brave and valiant prince or knight succeeds.
Thankfully, the Chaotic Good subreddit is changing that. This online group shares good intentions manifested through unorthodox methods, to say the least. ... for example. #10 Civil Disobedience ...
Somewhere between "who thought of this?" and "add to cart immediately" lies a magical realm of products that have absolutely no business being this good. We've uncovered 21 items that exist in ...
Spontaneous order, also named self-organization in the hard sciences, is the spontaneous emergence of order out of seeming chaos. The term "self-organization" is more often used for physical changes and biological processes, while "spontaneous order" is typically used to describe the emergence of various kinds of social orders in human social networks from the behavior of a combination of self ...
In mathematics, a chaotic map is a map (an evolution function) that exhibits some sort of chaotic behavior. Maps may be parameterized by a discrete-time or a continuous-time parameter. Maps may be parameterized by a discrete-time or a continuous-time parameter.
The longer it takes to call a winner — and the closer the eventual outcome is — the more chaotic things could get. Pennsylvania in particular is looking problematic.
A plot of Lorenz' strange attractor for values ρ=28, σ = 10, β = 8/3. The butterfly effect or sensitive dependence on initial conditions is the property of a dynamical system that, starting from any of various arbitrarily close alternative initial conditions on the attractor, the iterated points will become arbitrarily spread out from each other.