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Extracting coherent sets in aperiodically driven flows from generators of Mather semigroups

Titelangaben

Chemnitz, Robin ; Engel, Maximilian ; Koltai, Peter:
Extracting coherent sets in aperiodically driven flows from generators of Mather semigroups.
In: Discrete and Continuous Dynamical Systems. Series B. (2024) .
ISSN 1531-3492
DOI: https://doi.org/10.3934/dcdsb.2024149

Dies ist die aktuelle Version des Eintrags.

Abstract

Coherent sets are time-dependent regions in the physical space of nonautonomous flows that exhibit little mixing with their neighborhoods, robustly under small random perturbations of the flow. They thus characterize the global long-term transport behavior of the system. We propose a framework to extract such time-dependent families of coherent sets for nonautonomous systems with an ergodic driving dynamics and (small) Brownian noise in physical space. Our construction involves the assembly and analysis of an operator on functions over the augmented space of the associated skew product that, for each fixed state of the driving, propagates distributions on the corresponding physical-space fibre according to the dynamics. This time-dependent operator has the structure of a semigroup (it is called the Mather semigroup), and we show that a spectral analysis of its generator allows for a trajectory-free computation of coherent families, simultaneously for all states of the driving. Additionally, for quasi-periodically driven torus flows, we propose a tailored Fourier discretization scheme for this generator and demonstrate our method by means of three examples of two-dimensional flows.

Weitere Angaben

Publikationsform: Artikel in einer Zeitschrift
Begutachteter Beitrag: Ja
Institutionen der Universität: Fakultäten > Fakultät für Mathematik, Physik und Informatik > Mathematisches Institut > Lehrstuhl Dynamical Systems and Data > Lehrstuhl Dynamical Systems and Data - Univ.-Prof. Dr. Peter Koltai
Fakultäten
Fakultäten > Fakultät für Mathematik, Physik und Informatik
Fakultäten > Fakultät für Mathematik, Physik und Informatik > Mathematisches Institut
Fakultäten > Fakultät für Mathematik, Physik und Informatik > Mathematisches Institut > Lehrstuhl Dynamical Systems and Data
Titel an der UBT entstanden: Ja
Themengebiete aus DDC: 500 Naturwissenschaften und Mathematik > 510 Mathematik
Eingestellt am: 23 Okt 2024 08:22
Letzte Änderung: 23 Okt 2024 08:22
URI: https://eref.uni-bayreuth.de/id/eprint/90824

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