2023/04/16 by James Schmidt, Schmidt, James
Biochemistry, Genetics and Molecular Biology · Engineering · #Control and Stability of Dynamical Systems #Dynamical Systems (math.DS) #FOS: Mathematics #Gene Regulatory Network Analysis
paper · pdf · doi:10.48550/arxiv.2304.07834
openalex publication_date 2023/04/16 · openalex created_date 2025/10/10 · openalex updated_date 2026/07/28
Stability is a fundamental notion in dynamical systems and control theory that, traditionally understood, describes asymptotic behavior of solutions around an equilibrium point. This notion may be characterized abstractly as continuity of a map associating to each point in a state-space the corresponding integral curve with specified initial condition. Interpreting stability as such permits a natural perspective of arbitrary trajectories as stable, irrespective of whether they are stationary or even bounded, so long as trajectories starting nearby stay nearby for all time. While methods exist for recognizing stability of equilibria points, such as Lyapunov's first and second methods, such rely on the state's local property, which may be readily computed or evaluated because solutions starting at equilibria go nowhere. Such methods do not obviously extend for non-stationary stable trajectories. After introducing a notion of stability which makes sense for trajectories generally, we give examples confirming intuition and then present a method for using knowledge of stability of one system to guarantee stability of another, so long as there is an open map of dynamical systems from the known stable system. We thus define maps of dynamical systems and prove that a class of open maps preserve stability.