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Equilibria and stability

Stability describes whether nearby trajectories remain close to or approach an equilibrium.

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  • Discrete dynamical systems

    Iteration of a map evolves a state through discrete time steps.

  • Linearization

    The Jacobian approximates a smooth system near an equilibrium; zero-real-part eigenvalues need further analysis.

  • Logistic map

    The quadratic iteration rx(1-x) exhibits fixed points, periodic cycles and chaotic regimes as r varies.

  • Lyapunov exponents

    Asymptotic growth rates quantify separation of nearby trajectories.

  • Lyapunov functions

    A suitably decreasing scalar function can establish stability without solving trajectories explicitly.

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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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Ordinary Differential Equations

Explore first-order equations; linear equations and forcing; systems and phase space. Concepts and connections are available independently of video coverage.

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