Experiments and modelling of rate-dependent transition delay in a stochastic subcritical bifurcation
Author(s) -
Giacomo Bonciolini,
Dominik Ebi,
Édouard Boujo,
Nicolas Noiray
Publication year - 2018
Publication title -
royal society open science
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.84
H-Index - 51
ISSN - 2054-5703
DOI - 10.1098/rsos.172078
Subject(s) - bifurcation , hopf bifurcation , statistical physics , work (physics) , bifurcation theory , parameter space , biological applications of bifurcation theory , bifurcation diagram , mechanics , control theory (sociology) , saddle node bifurcation , hysteresis , instability , stability (learning theory) , physics , mathematics , computer science , nonlinear system , thermodynamics , statistics , control (management) , quantum mechanics , artificial intelligence , machine learning
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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