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The Koopman operator has emerged as a powerful tool for the analysis of nonlinear dynamical systems as it provides coordinate transformations to globally linearize the dynamics. While recent deep learning approaches have been useful in…

Dynamical Systems · Mathematics 2020-06-23 Shaowu Pan , Karthik Duraisamy

We provide a constructive proof on the equivalence of two fundamental concepts: the global Lyapunov function in engineering and the potential function in physics, establishing a bridge between these distinct fields. This result suggests new…

Chaotic Dynamics · Physics 2014-03-26 Ruoshi Yuan , Yian Ma , Bo Yuan , Ping Ao

The motivation of our research is to establish a Laplace-domain theory that provides principles and methodology to analyze and synthesize systems with nonlinear dynamics. A semigroup of composition operators defined for nonlinear autonomous…

Dynamical Systems · Mathematics 2021-11-30 Yoshihiko Susuki , Alexandre Mauroy , Igor Mezic

The exponential map that characterises the flows of vector fields is the key in understanding the basic structural attributes of control systems in geometric control theory. However, this map does not exists due to the lack of completeness…

Differential Geometry · Mathematics 2022-02-11 Yanlei Zhang

We consider $2p\ge 4$ order differential operator on the real line with a periodic coefficients. The spectrum of this operator is absolutely continuous and is a union of spectral bands separated by gaps. We define the Lyapunov function,…

Mathematical Physics · Physics 2010-10-07 Andrey Badanin , Evgeny Korotyaev

We compute semi-analytic and numerical estimates for the largest Lyapunov exponent in a many-particle system with long-range interactions, extending previous results for the Hamiltonian Mean Field model with a cosine potential. Our results…

Statistical Mechanics · Physics 2020-06-24 Moisés F. P. Silva , Tarcísio M. Rocha Filho , Yves Elskens

Koopman operator theory has proven to be a promising approach to nonlinear system identification and global linearization. For nearly a century, there had been no efficient means of calculating the Koopman operator for applied engineering…

Systems and Control · Electrical Eng. & Systems 2023-03-22 Waqas Manzoor , Samir Rawashdeh , Alireza Mohammadi

Koopman autoencoders are a prevalent architecture in operator learning. But, the loss functions and the form of the operator vary significantly in the literature. This paper presents a fair and systemic study of these options. Furthermore,…

Machine Learning · Computer Science 2024-12-09 Dustin Enyeart , Guang Lin

We consider iterated function systems (finite or countable), together with linear and continuous operators on Hilbert spaces, which enable us to construct Markov-type operators. Under suitable conditions, these Markov-type operators have…

Classical Analysis and ODEs · Mathematics 2017-01-30 Ion Chiţescu , Loredana Ioana , Radu Miculescu , Lucian Niţă

Instantonic theories are quantum field theories where all correlators are determined by integrals over the finite-dimensional space (space of generalized instantons). We consider novel geometrical observables in instantonic topological…

High Energy Physics - Theory · Physics 2011-08-11 Andrei Losev , Sergey Slizovskiy

A notion of Cartan pairs as an analogy of vector fields in the realm of noncommutative geometry has been proposed in q-alg/9609011 In this paper we give an outline of the construction of a noncommutative analogy of the algebra of partial…

q-alg · Mathematics 2009-10-30 Andrzej Borowiec

For a topological dynamical system we characterize the decomposition of the state space induced by the fixed space of the corresponding Koopman operator. For this purpose, we introduce a hierarchy of generalized orbits and obtain the finest…

Dynamical Systems · Mathematics 2019-07-10 Kari Küster

We consider the application of Koopman theory to nonlinear partial differential equations. We demonstrate that the observables chosen for constructing the Koopman operator are critical for enabling an accurate approximation to the nonlinear…

Pattern Formation and Solitons · Physics 2016-07-26 J. Nathan Kutz , Joshua L. Proctor , Steven L. Brunton

For a smooth Morse-Smale vector field with Lyapunov constraints (Lyapunov function) one shows how and why the non-triviality of the cohomology, as concluded from its additive structure, detects rest points and the multiplicative structure…

Dynamical Systems · Mathematics 2024-10-15 Dan Burghelea

Lagrangian techniques, such as the finite-time Lyapunov exponent (FTLE) and hyperbolic Lagrangian coherent structures (LCS), have become popular tools for analyzing unsteady fluid flows. These techniques identify regions where particles…

Chaotic Dynamics · Physics 2020-10-27 Peter J. Nolan , Mattia Serra , Shane D. Ross

We compute the local cohomology of vector fields on a manifold. In the smooth case this recovers the diagonal cohomology studied in work of Losik, Guillemin, Fuks and others. In the holomorphic case this cohomology has recently appeared in…

Differential Geometry · Mathematics 2024-05-09 Brian R Williams

In this note we construct vertex operators in effective string theory using the simplified covariant formalism, i.e. by embedding it in the Polyakov formalism supplemented by an anomaly term, and fixing to conformal gauge. These vertex…

High Energy Physics - Theory · Physics 2017-01-24 Simeon Hellerman , Shunsuke Maeda

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 and von Neumann and was developed in later decades by many…

Dynamical Systems · Mathematics 2026-03-23 Dimitrios Giannakis , Michael Montgomery

Recently, a new algorithm for the computation of covariant Lyapunov vectors and of corresponding local Lyapunov exponents has become available. Here we study the properties of these still unfamiliar quantities for a number of simple models,…

Chaotic Dynamics · Physics 2015-05-18 Hadrien Bosetti , Harald A. Posch , Christoph Dellago , William G. Hoover

Koopman operator-based methods enable data-driven bilinear representations of unknown nonlinear control systems. Accurate representations often demand significantly higher dimensions than the original system, making control design…

Systems and Control · Electrical Eng. & Systems 2026-04-13 Sami Leon Noel Aziz Hanna , Nicolas Hoischen , Sandra Hirche , Armin Lederer
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