Dynamical Systems and Chaos
Explore iteration and flows; stability and bifurcations; chaos and long-term behavior. Concepts and connections are available independently of video coverage.
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Asymptotic growth rates quantify separation of nearby trajectories.
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Chaos combines forms of sensitive dependence and complex recurrence under specified definitions.
Stability describes whether nearby trajectories remain close to or approach an equilibrium.
In measure-preserving systems, ergodicity means invariant measurable sets have trivial measure.
A function assigns exactly one output to each input in its domain; its domain matters when comparing expressions.
An orbit is the collection of states visited from a chosen initial state.
Explore iteration and flows; stability and bifurcations; chaos and long-term behavior. Concepts and connections are available independently of video coverage.