arXiv · 1512.05997
On the numerical approximation of the Perron-Frobenius and Koopman operator
Abstract
Information about the behavior of dynamical systems can often be obtained by analyzing the eigenvalues and corresponding eigenfunctions of linear operators associated with a dynamical system. Examples of such operators are the Perron-Frobenius and the Koopman operator. In this paper, we will review different methods that have been developed over the last decades to compute finite-dimensional approximations of these infinite-dimensional operators - e.g. Ulam's method and Extended Dynamic Mode Decomposition (EDMD) - and highlight the similarities and differences between these approaches. The results will be illustrated using simple stochastic differential equations and molecular dynamics examples.
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Stefan Klus, Péter Koltai, Christof Schütte. 2015-12-18. On the numerical approximation of the Perron-Frobenius and Koopman operator. https://doi.org/10.3934/jcd.2016003
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