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math.DS2026

Measure-free Koopman-von Neumann Dynamics and Noncommutative Geometry

Dimitrios Giannakis, Michael Montgomery

The Koopman-von Neumann formulation of classical statistical dynamics maps the isometric evolution of probability densities in under the Liouville equation to a unitary evolu…

math.DS2026

Data-driven methods for computation of optimal linear response in high-dimensional dynamical systems

Gary Froyland, Dimitrios Giannakis, Nicholas Peters

We develop a data-driven framework for estimating optimal linear response of nonlinear dynamical systems. Our approach is based on kernel-smoothed approximations of the transfer/Ko…

math.DS2026

Koopman and transfer operator techniques from the perspective of quantum theory

Dimitrios Giannakis, Michael Montgomery

The study of mathematical connections between operator-theoretic formulations of classical dynamics and quantum mechanics began at least as early as the 1930s in work of Koopman an…

math.DS2026

Quantum mechanical closure of partial differential equations with symmetries

Chris Vales, David C. Freeman, Joanna Slawinska +1

We develop a statistical framework for the dynamical closure of spatiotemporal dynamics governed by partial differential equations. Employing the mathematical framework of quantum…

math.DS2025

Tensor network approximation of Koopman operators

Dimitrios Giannakis, Mohammad Javad Latifi Jebelli, Michael Montgomery +3

We propose a tensor network framework for approximating the evolution of observables of measure-preserving ergodic systems. Our approach is based on a spectrally-convergent approxi…

math.DS2025

Physics-informed spectral approximation of Koopman operators

Claire Valva, Dimitrios Giannakis

Koopman operators and transfer operators represent nonlinear dynamics in state space through its induced action on linear spaces of observables and measures, respectively. This fra…