Math 2.0

Dynamical systems and ergodic theory Basic notions Concept

Chaos theory

Summary

Chaos theory studies deterministic dynamical systems whose long-time behaviour looks random and cannot be predicted in practice. The key feature is sensitive dependence on initial conditions, the butterfly effect: tiny differences in the starting state grow until they dominate. Typical tools are Lyapunov exponents, strange attractors, symbolic dynamics and invariant measures, and a standard mathematical definition of a chaotic map is Devaney chaos. Classical examples are the Lorenz system in meteorology and the logistic map in population dynamics.

Where this leads

2 pages build on this one.

Further reading

  1. Web https://en.wikipedia.org/wiki/Chaos_theory
About this page
TagDBKXCGDKTD
URIm2://DBKXCGDKTD
Kindconcept
WritingW0 stub
MSC37D45, 37N99, 34C28
Same as

Markdown · JSON · Edit on GitHub

What this page needs for W1

  • a source with a locator (0 of 1)

The writing levels say how complete the text of a page is. They do not measure its truth.

What links here

Used by