Latent Modes of Nonlinear Flows: A Koopman Theory Analysis

Ido Cohen, Guy Gilboa

Research output: Book/ReportBookpeer-review

Abstract

Extracting the latent underlying structures of complex nonlinear local and nonlocal flows is essential for their analysis and modeling. In this Element the authors attempt to provide a consistent framework through Koopman theory and its related popular discrete approximation - dynamic mode decomposition (DMD). They investigate the conditions to perform appropriate linearization, dimensionality reduction and representation of flows in a highly general setting. The essential elements of this framework are Koopman eigenfunctions (KEFs) for which existence conditions are formulated. This is done by viewing the dynamic as a curve in state-space. These conditions lay the foundations for system reconstruction, global controllability, and observability for nonlinear dynamics. They examine the limitations of DMD through the analysis of Koopman theory and propose a new mode decomposition technique based on the typical time profile of the dynamics.
Original languageEnglish
Number of pages75
DOIs
StatePublished - 2023

Publication series

NameElements in Non-local Data Interactions: Foundations and Applications
PublisherCambridge University Press

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