Potentials and limits to basin stability estimation

Stability assessment methods for dynamical systems have recently been complemented by basin stability and derived measures, i.e. probabilistic statements whether systems remain in a basin of attraction given a distribution of perturbations. Their application requires numerical estimation via Monte C...

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Main Authors: Paul Schultz, Peter J Menck, Jobst Heitzig, Jürgen Kurths
Format: Article
Language:English
Published: IOP Publishing 2017-01-01
Series:New Journal of Physics
Subjects:
Online Access:https://doi.org/10.1088/1367-2630/aa5a7b
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author Paul Schultz
Peter J Menck
Jobst Heitzig
Jürgen Kurths
author_facet Paul Schultz
Peter J Menck
Jobst Heitzig
Jürgen Kurths
author_sort Paul Schultz
collection DOAJ
description Stability assessment methods for dynamical systems have recently been complemented by basin stability and derived measures, i.e. probabilistic statements whether systems remain in a basin of attraction given a distribution of perturbations. Their application requires numerical estimation via Monte Carlo sampling and integration of differential equations. Here, we analyse the applicability of basin stability to systems with basin geometries that are challenging for this numerical method, having fractal basin boundaries and riddled or intermingled basins of attraction. We find that numerical basin stability estimation is still meaningful for fractal boundaries but reaches its limits for riddled basins with holes.
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spelling doaj.art-27040668b528476fb9aa093ba269f3bb2023-08-08T14:35:01ZengIOP PublishingNew Journal of Physics1367-26302017-01-0119202300510.1088/1367-2630/aa5a7bPotentials and limits to basin stability estimationPaul Schultz0https://orcid.org/0000-0002-1785-6476Peter J Menck1Jobst Heitzig2Jürgen Kurths3Potsdam Institute for Climate Impact Research, D-14412 Potsdam, Germany; Department of Physics, Humboldt University Berlin , D-12489 Berlin, GermanyPotsdam Institute for Climate Impact Research, D-14412 Potsdam, GermanyPotsdam Institute for Climate Impact Research, D-14412 Potsdam, GermanyPotsdam Institute for Climate Impact Research, D-14412 Potsdam, Germany; Department of Physics, Humboldt University Berlin , D-12489 Berlin, Germany; Institute for Complex Systems and Mathematical Biology, University of Aberdeen , AB24 3UE Aberdeen, United Kingdom; Department of Control Theory, Nizhny Novgorod State University , Gagarin Avenue 23, 606950 Nizhny Novgorod, RussiaStability assessment methods for dynamical systems have recently been complemented by basin stability and derived measures, i.e. probabilistic statements whether systems remain in a basin of attraction given a distribution of perturbations. Their application requires numerical estimation via Monte Carlo sampling and integration of differential equations. Here, we analyse the applicability of basin stability to systems with basin geometries that are challenging for this numerical method, having fractal basin boundaries and riddled or intermingled basins of attraction. We find that numerical basin stability estimation is still meaningful for fractal boundaries but reaches its limits for riddled basins with holes.https://doi.org/10.1088/1367-2630/aa5a7battractorbasin stabilityfractal basin boundariesriddled basinsintermingled basins05.45.Df
spellingShingle Paul Schultz
Peter J Menck
Jobst Heitzig
Jürgen Kurths
Potentials and limits to basin stability estimation
New Journal of Physics
attractor
basin stability
fractal basin boundaries
riddled basins
intermingled basins
05.45.Df
title Potentials and limits to basin stability estimation
title_full Potentials and limits to basin stability estimation
title_fullStr Potentials and limits to basin stability estimation
title_full_unstemmed Potentials and limits to basin stability estimation
title_short Potentials and limits to basin stability estimation
title_sort potentials and limits to basin stability estimation
topic attractor
basin stability
fractal basin boundaries
riddled basins
intermingled basins
05.45.Df
url https://doi.org/10.1088/1367-2630/aa5a7b
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AT jobstheitzig potentialsandlimitstobasinstabilityestimation
AT jurgenkurths potentialsandlimitstobasinstabilityestimation