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Arbitrary Coarse-Grainings in Random Linear Dynamical Systems
This paper demonstrates that linear dynamical systems with Gaussian random weights can be coarse-grained into arbitrary subsystems of size K ≪ √N . A clear phase transition around the critical point K ∼ √N is present; within a small interval nearly any smaller system of size K can be found to arbitrary accuracy, just past the point of criticality.
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