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Open Dynamical Systems and Stationarity 📂Dynamical Systems

Open Dynamical Systems and Stationarity

Definition 1 2

  1. If there exist external factors $\lambda$ that influence the system $\dot{x} = f (x)$ and can change the fate of a trajectory, the system is called an open system.
  2. If an open system is independent of time $t$, it is called stationary; if it depends on time as in $\dot{x} = f \left( x , \lambda (t) \right)$ and satisfies $\lambda = \lambda (t)$, it is called non-stationary.

Explanation

In stationary systems, the dynamical changes that occur as parameters vary are called bifurcations, whereas the dynamical changes that occur in non-stationary systems are called tipping points.


  1. Ashwin, P., Wieczorek, S., Vitolo, R., & Cox, P. (2012). Tipping points in open systems: bifurcation, noise-induced and rate-dependent examples in the climate system. Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences, 370(1962), 1166-1184. ↩︎

  2. Patel, D., & Ott, E. (2023). Using machine learning to anticipate tipping points and extrapolate to post-tipping dynamics of non-stationary dynamical systems. Chaos: An Interdisciplinary Journal of Nonlinear Science, 33(2). https://doi.org/10.1063/5.0131787 ↩︎