Koopman spectral analysis of skew-product dynamics on Hilbert $C^*$-modules
Dimitrios Giannakis, Yuka Hashimoto, Masahiro Ikeda, Isao Ishikawa,, and Joanna Slawinska

TL;DR
This paper develops a novel spectral analysis method for skew-product dynamical systems using a generalized eigenoperator decomposition on Hilbert $C^*$-modules, aiding in understanding system spectra and coherent structures.
Contribution
It introduces a new eigenoperator decomposition for Koopman operators on Hilbert $C^*$-modules, extending spectral analysis tools to skew-product systems.
Findings
Eigenoperator decomposition generalizes eigenvalue decomposition.
Reconstructs Koopman operator capturing continuous spectrum.
Numerical applications demonstrate method effectiveness.
Abstract
We introduce a linear operator on a Hilbert -module for analyzing skew-product dynamical systems. The operator is defined by composition and multiplication. We show that it admits a decomposition in the Hilbert -module, called eigenoperator decomposition, that generalizes the concept of the eigenvalue decomposition. This decomposition reconstructs the Koopman operator of the system in a manner that represents the continuous spectrum through eigenoperators. In addition, it is related to the notions of cocycle and Oseledets subspaces and it is useful for characterizing coherent structures under skew-product dynamics. We present numerical applications to simple systems on two-dimensional domains.
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsModel Reduction and Neural Networks · Traumatic Brain Injury and Neurovascular Disturbances · Quantum chaos and dynamical systems
