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20082026
most citedA mathematical framework for critical transitions: bifurcations, fast-slow systems and stochastic dynamics

422 citations · 2.4k across the 156 of their papers we have counts for

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Showing 2021 · math.DSShow all

6 papers · 2 filters

math.DS2021

Continuum Limits for Adaptive Network Dynamics

Marios Antonios Gkogkas, Christian Kuehn, Chuang Xu

Adaptive (or co-evolutionary) network dynamics, i.e., when changes of the network/graph topology are coupled with changes in the node/vertex dynamics, can give rise to rich and com…

math.DS2021★ 19 cited

Warning signs for non-Markovian bifurcations: colour blindness and scaling laws

Christian Kuehn, Kerstin Lux, Alexandra Neamtu

Warning signs for tipping points (or critical transitions) have been very actively studied. Although the theory has been applied successfully in models and in experiments for many…

math.DS2021★ 1 cited

A General View on Double Limits in Differential Equations

Christian Kuehn, Nils Berglund, Christian Bick +4

In this paper, we review several results from singularly perturbed differential equations with multiple small parameters. In addition, we develop a general conceptual framework to…

math.DS2021★ 2 cited

Resilience of dynamical systems

Hana Krakovská, Christian Kühn, Iacopo P. Longo

Stability is among the most important concepts in dynamical systems. Local stability is well-studied, whereas determining how "globally stable" a nonlinear system is very challengi…

math.DS2021★ 9 cited

Connecting a direct and a Galerkin approach to slow manifolds in infinite dimensions

Maximilian Engel, Felix Hummel, Christian Kuehn

In this paper, we study slow manifolds for infinite-dimensional evolution equations. We compare two approaches: an abstract evolution equation framework and a finite-dimensional sp…

math.DS2021

Uncertainty Quantification of Bifurcations in Random Ordinary Differential Equations

Christian Kuehn, Kerstin Lux

We are concerned with random ordinary differential equations (RODEs). Our main question of interest is how uncertainties in system parameters propagate through the possibly highly…