Transfer operator-based extraction of coherent features on surfaces
Publikation: Beiträge in Sammelwerken › Aufsätze in Sammelwerken › Forschung › begutachtet
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Topological Methods in Data Analysis and Visualization IV : Theory, Algorithms, and Applications. Hrsg. / Hamish Carr; Christoph Garth; Tino Weinkauf. Cham : Springer International Publishing AG, 2017. S. 283-297 (Topological methods in data analysis and visualization; Band 4), ( Mathematics and visualization).
Publikation: Beiträge in Sammelwerken › Aufsätze in Sammelwerken › Forschung › begutachtet
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TY - CHAP
T1 - Transfer operator-based extraction of coherent features on surfaces
AU - Padberg-Gehle, Kathrin
AU - Reuther, Sebastian
AU - Praetorius, Simon
AU - Voigt, Axel
PY - 2017
Y1 - 2017
N2 - Transfer operator-based approaches have been successfully applied to the extraction of coherent features in flows. Transfer operators describe the evolution of densities under the action of the flow. They can be efficiently approximated within a set-oriented numerical framework and spectral properties of the resulting stochastic matrices are used to extract finite-time coherent sets. Also finite-time entropy, a density-based stretching quantity similar to finite-time Lyapunov exponents, is conveniently approximated by means of the discretized transfer operator. Transfer operator-based computational methods are purely probabilistic and derivative-free. Therefore, they can also be applied in settings where derivatives of the flow map are hardly accessible. In this paper, we summarize the theory and numerics behind the transfer operator approach and then introduce a straightforward extension, which allows us to study coherent structures in complex flows on triangulated surfaces. We illustrate our general computational framework with the well-known periodically driven double-gyre flow. To demonstrate the applicability of the approach for complex flows, we consider an approximation of the surface ocean flow, obtained by a numerical solution of the incompressible surface Navier-Stokes equation in a complicated geometry on the sphere.
AB - Transfer operator-based approaches have been successfully applied to the extraction of coherent features in flows. Transfer operators describe the evolution of densities under the action of the flow. They can be efficiently approximated within a set-oriented numerical framework and spectral properties of the resulting stochastic matrices are used to extract finite-time coherent sets. Also finite-time entropy, a density-based stretching quantity similar to finite-time Lyapunov exponents, is conveniently approximated by means of the discretized transfer operator. Transfer operator-based computational methods are purely probabilistic and derivative-free. Therefore, they can also be applied in settings where derivatives of the flow map are hardly accessible. In this paper, we summarize the theory and numerics behind the transfer operator approach and then introduce a straightforward extension, which allows us to study coherent structures in complex flows on triangulated surfaces. We illustrate our general computational framework with the well-known periodically driven double-gyre flow. To demonstrate the applicability of the approach for complex flows, we consider an approximation of the surface ocean flow, obtained by a numerical solution of the incompressible surface Navier-Stokes equation in a complicated geometry on the sphere.
KW - Mathematics
KW - Coherent Structure
KW - Transfer Operator
KW - Transport Barrier
KW - Lagrangian Coherent Structure
KW - Incompressible Surface
UR - https://tu-dresden.de/mn/math/wir/ressourcen/dateien/forschung/publikationen/pdf2017/Padberg-Gehle2017.pdf?lang=de
U2 - 10.1007/978-3-319-44684-4_17
DO - 10.1007/978-3-319-44684-4_17
M3 - Contributions to collected editions/anthologies
SN - 978-3-319-44682-0
T3 - Topological methods in data analysis and visualization
SP - 283
EP - 297
BT - Topological Methods in Data Analysis and Visualization IV
A2 - Carr, Hamish
A2 - Garth, Christoph
A2 - Weinkauf, Tino
PB - Springer International Publishing AG
CY - Cham
ER -