Generalized matrix diagonal stability and linear dynamical systems

Let A = (aij) be a real square matrix and 1 ⩽ p ⩽ ∞. We present two analogous developments. One for Schur stability and the discrete-time dynamical system x(t + 1) = Ax(t), and the other for Hurwitz stability and the continuous-time dynamical system . Here is a description of the latter development.For A, we define and study “Hurwitz diagonal stability with respect to p-norms”, abbreviated “HDSp”. HDS2 is the usual concept of diagonal stability. A is HDSp implies “Re λ < 0 for every eigenvalue λ of A”, which means A is “Hurwitz stable”, abbreviated “HS”. When the off-diagonal elements of A are nonnegative, A is HS iff A is HDSp for all p.For the dynamical system , we define “diagonally invariant exponential stability relative to the p-norm”, abbreviated DIESp, meaning there exist time-dependent sets, which decrease exponentially and are invariant with respect to the system. We show that DIESp is a special type of exponential stability and the dynamical system has this property iff A is HDSp.