Invariant norms, also called Barabanov norms, are defined in Rᵈ for any compact family A of d × d matrices. They correspond to the linear switching system, which is a differential equation x(t) = A(t)x(t), where A(t) ∈ A for each t. The invariant norm identifies the trajectories $x(t)$ of the fastest asymptotic growth as t→ +∞. It also solves the stability problem. This norm is difficult to construct even for a pair of matrices. We show that in case $d=2$ the invariant norm can be found explicitly for every compact matrix family A. If A does not contain a dominant matrix with a real spectrum, then this norm is always unique (up to a multiplier) and is C¹, otherwise, there may be infinitely many norms. All of them can be found and classified.
No takes yet. Share an insight, caveat, or question.
Protasov et al. (2024) studied this question.
Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context: