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Carl von Ossietzky Universität Oldenburg
Institut für Mathematik
Campus Wechloy
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Veranstaltungen

Uncertainty Quantification for Bifurcating Dynamical Systems

Vortragsankündigung

 

Im Rahmen des Kolloquiums spricht

Frau Kerstin Lux-Gottschalk

Eindhoven University of Technology

Department of Mathematics and Computer Science

Eindhoven, Netherlands

e-mail: k.m.lux@tue.nl

 

 

Uncertainty Quantification for Bifurcating Dynamical Systems

über
 

ABSTRACT

Many real-world systems can be modeled in terms of systems of differential equations. Oftentimes, they have inherently nonlinear dynamics which can induce sudden, large and irreversible changes when an external forcing parameter is varied. We analyze these bifurcations in the realm of uncertainty [1]. In this talk, we will consider parameter uncertainty. This arises naturally when model parameters need to be estimated from measurement data or cannot even be measured directly but need to be inferred from other observable quantities.

 

We will see that parameter uncertainty can crucially alter the bifurcation landscape.

I will illustrate this by an example from climate science, the Atlantic Meridional Overturning Circulation, where we model tipping points (TPs) in terms of bifurcations [2]. The system is of particular importance for the North Atlantic heat transport. We highlight the uncertain locations of TPs along the arising probabilistic bifurcation curves. Moreover, we provide an original combination of sensitivity analysis

and bifurcation theory allowing to quantify the distance between family of bifurcation curves for different input parameter distributions. Thereby, we contribute to an uncertainty quantification of high impact, low likelihood climate outcomes.

 

This talk covers some joint work with Christian Kuehn (Technical University of Munich), Peter Ashwin (University of Exeter, UK), Richard Wood (Met Office, UK), Jonathan Baker (Met Office, UK), Oliver Ernst (TU Chemnitz) and Björn Sprungk (TU Freiberg).

 

REFERENCES

[1] C. Kuehn and K. Lux. Uncertainty Quantification of Bifurcations in Random Ordinary Differ-ential Equations. SIAM J. Appl. Dyn. Syst., 20(4):2295–2334, 2021.

[2] K. Lux, P. Ashwin, R. Wood, and C. Kuehn. Assessing the impact of parametric uncertainty on tipping points of the atlantic meridional overturning circulation. Environmental Research Letters, 17(7):075002, 2022.

 

 

Der Vortrag findet statt am


Mittwoch, den 29.10.2025 um 17.15 Uhr im Raum W01 0-006

Kaffee/Tee um 16.45 Uhr im Raum W1 2-213

Interessierte sind herzlich eingeladen.

29.10.2025 17:15 – Offenes Ende

(Stand: 09.09.2025)  Kurz-URL:Shortlink: https://uole.de/p12371c146044
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