ArticleRoyal Society open science2018
Experiments and modelling of rate-dependent transition delay in a stochastic subcritical bifurcation.
Article in Royal Society open science, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
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5 citing papers in PubMed, 44 citations in OpenAlex.
- Deep learning for predicting the occurrence of tipping points.Royal Society open science · 2025Article
- Early warnings are too late when parameters change rapidly.Scientific reports · 2025Article
- Systematic analysis and optimization of early warning signals for critical transitions using distribution data.iScience · 2023Article
- A probabilistic framework for windows of opportunity: the role of temporal variability in critical transitions.Journal of the Royal Society, Interface · 2022Article
- Experiments and modelling of rate-dependent transition delay in a stochastic subcritical bifurcation.Royal Society open science · 2018Article
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4 authors at 2 institutions in 1 country.
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No grant is acknowledged in the PubMed record.
Abstract
Complex systems exhibiting critical transitions when one of their governing parameters varies are ubiquitous in nature and in engineering applications. Despite a vast literature focusing on this topic, there are few studies dealing with the effect of the rate of change of the bifurcation parameter on the tipping points. In this work, we consider a subcritical stochastic Hopf bifurcation under two scenarios: the bifurcation parameter is first changed in a quasi-steady manner and then, with a finite ramping rate. In the latter case, a rate-dependent bifurcation delay is observed and exemplified experimentally using a thermoacoustic instability in a combustion chamber. This delay increases with the rate of change. This leads to a state transition of larger amplitude compared with the one that would be experienced by the system with a quasi-steady change of the parameter. We also bring experimental evidence of a dynamic hysteresis caused by the bifurcation delay when the parameter is ramped back. A surrogate model is derived in order to predict the statistic of these delays and to scrutinize the underlying stochastic dynamics. Our study highlights the dramatic influence of a finite rate of change of bifurcation parameters upon tipping points, and it pinpoints the crucial need of considering this effect when investigating critical transitions.
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