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Multidimensional Map Chaos 📂Dynamics

Multidimensional Map Chaos

Definition1

A map’s orbit $f : \mathbb{R}^{m} \to \mathbb{R}^{m}$ is considered chaotic if it satisfies the following for its bounded orbit $\left\{ \mathbb{v}_{0}, \mathbb{v}_{1}, \cdots \right\}$:

  • (i): It is not asymptotically periodic.
  • (ii): For all $i = 1,\cdots , m$, there is $h_{i} ( \mathbb{v}_{0} ) \ne 0$.
  • (iii): $h_{1} ( \mathbb{v}_{0}) > 0$

  • An orbit being bounded means that for all $n \in \mathbb{N}_{0}$, there exists $\left\| \mathbb{v}_{n} \right\| < M$ which satisfies $M \in \mathbb{R}$.
  • $h_{i}(\mathbb{v}_{0})$ refers to the Lyapunov exponent.

Description

The difference from the chaos of a $1$-dimensional map lies in the fact that with the domain’s dimension $m$, as many Lyapunov exponents as $m$ need to be calculated, and not all of the Lyapunov exponents should be $0$, and the largest Lyapunov exponent must be positive. Meanwhile, when more than two Lyapunov exponents are positive, the term hyper chaos is used.

See Also


  1. Yorke. (1996). CHAOS: An Introduction to Dynamical Systems: p196. ↩︎