From large deviations to semidistances of transport and mixing: coherence analysis for finite Lagrangian data

DOI10.1007/s00332-018-9471-0zbMath1402.37088arXiv1709.02352OpenAlexW2803841169WikidataQ91472584 ScholiaQ91472584MaRDI QIDQ1631302

Péter Koltai, D. R. Michiel Renger

Publication date: 6 December 2018

Published in: Journal of Nonlinear Science (Search for Journal in Brave)

Full work available at URL: https://arxiv.org/abs/1709.02352

zbMATH Keywords

large deviationmixingcoherent setsLagrangian datamixing distancetransport distance

Mathematics Subject Classification ID

Computational methods in Markov chains (60J22) Dynamical systems in fluid mechanics, oceanography and meteorology (37N10) Large deviations (60F10) Turbulent transport, mixing (76F25) Time series analysis of dynamical systems (37M10) Distance in graphs (05C12)

Related Items (4)

A tale of two vortices: how numerical ergodic theory and transfer operators reveal fundamental changes to coherent structures in non-autonomous dynamical systems ⋮ Computation and Optimal Perturbation of Finite-Time Coherent Sets for Aperiodic Flows Without Trajectory Integration ⋮ Network measures of mixing ⋮ Transfer operators from optimal transport plans for coherent set detection

Uses Software

• Algorithm 97

Cites Work

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