Stable matrices, the Cayley transform, and convergent matrices

Tyler Haynes

International Journal of Mathematics and Mathematical Sciences, 1991, vol. 14, 1-5

Abstract:

The main result is that a square matrix D is convergent ( lim n → ∞ D n = 0 ) if and only if it is the Cayley transform C A = ( I − A ) − 1 ( I + A ) of a stable matrix A , where a stable matrix is one whose characteristic values all have negative real parts. In passing, the concept of Cayley transform is generalized, and the generalized version is shown closely related to the equation A G + G B = D . This gives rise to a characterization of the non-singularity of the mapping X → A X + X B . As consequences are derived several characterizations of stability (closely related to Lyapunov's result) which involve Cayley transforms.

Date: 1991
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Persistent link: https://EconPapers.repec.org/RePEc:hin:jijmms:357842

DOI: 10.1155/S0161171291000078

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