Random matrices and controllability of dynamical systems
John Leventides, Nick Poulios, Costas Poulios

TL;DR
This paper introduces the concept of epsilon-uncontrollability for random linear systems and provides estimates for Gaussian orthogonal ensemble matrices, combining systems theory, probability, and convex geometry tools.
Contribution
It defines epsilon-uncontrollability for random systems and offers probabilistic estimates specifically for Gaussian orthogonal ensemble matrices.
Findings
Defined epsilon-uncontrollability for random systems
Provided estimates for Gaussian orthogonal ensemble matrices
Utilized interdisciplinary mathematical tools
Abstract
We introduce the concept of -uncontrollability for random linear systems, i.e. linear system in which the usual matrices have been replaced by random matrices. We also estimate the -uncontrollability in the case where the matrices come from the Gaussian orthogonal ensemble. Our proof utilizes tools from systems theory, probability theory and convex geometry.
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