KolmogorovSinai
The Kolmogorov-Sinai entropy, often abbreviated as KS entropy or metric entropy, is a fundamental concept in dynamical systems theory. It quantifies the rate at which information is lost or, equivalently, the rate at which unpredictability increases in a dynamical system. It was independently developed by Andrey Kolmogorov and Yakov Sinai in the early 1960s.
The KS entropy is defined for ergodic dynamical systems. For a discrete-time dynamical system, it is the
The calculation of KS entropy typically involves partitioning the state space into small cells and tracking