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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In measure-preserving systems, ergodicity means invariant measurable sets have trivial measure.
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An attractor is an invariant set approached by a specified collection of trajectories.
Asymptotic growth rates quantify separation of nearby trajectories.
Changing a parameter can qualitatively change equilibria or periodic behavior.
Chaos combines forms of sensitive dependence and complex recurrence under specified definitions.
An autonomous differential equation generates time-indexed state transformations where solutions exist uniquely.
Explore iteration and flows; stability and bifurcations; chaos and long-term behavior. Concepts and connections are available independently of video coverage.