Early warnings are too late when parameters change rapidly
Rohit Radhakrishnan, Induja Pavithran, Valerie Livina, J\"urgen Kurths, and R. I. Sujith

TL;DR
This paper investigates the limitations of early warning signals in predicting system tipping points when control parameters change rapidly, highlighting delays and dispersion issues that can hinder prevention efforts.
Contribution
It demonstrates the failure of EWSs in fast-changing conditions and proposes EWS-based control actions to rescue systems after tipping occurs.
Findings
EWSs often detect tipping after bifurcation points when parameters change quickly.
Delays and dispersion in warning signals reduce their effectiveness in real-world scenarios.
EWS-based control can rescue systems post-tipping in rapid parameter variation cases.
Abstract
Early warning signals (EWSs) forewarn a sudden transition (or tipping) from a desirable state to an undesirable state. However, we observe that EWSs detect an impending tipping past bifurcation points when control parameters are varied fast; this questions the applicability of EWSs in real-world systems. When a control parameter is changed at a finite rate, the tipping is also delayed, providing a borrowed stability (in the parameter space) before the system tips. In this study, we use the Hurst exponent as EWS in a thermoacoustic system - a horizontal Rijke tube. We find that upon receiving an EWS alert, a quick reversal of the control parameter within the region of borrowed stability cannot always prevent tipping in real-world systems. We show this failure is due to the (i) delay in receiving the EWS alert and (ii) dispersion observed in the warning points received. For fast variation…
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Taxonomy
TopicsRisk and Safety Analysis
