Contrasting chaotic and stochastic forcing: tipping windows and attractor crises
Peter Ashwin, Julian Newman, Raphael R\"omer

TL;DR
This paper compares the effects of chaotic versus stochastic forcing on nonlinear systems, identifying conditions for tipping points and bifurcations, and introduces the concept of a chaotic tipping window near bifurcations.
Contribution
It introduces the concept of a chaotic tipping window and analyzes how chaotic forcing differs from stochastic forcing in causing system transitions.
Findings
Chaotic forcing can create a tipping window outside of which transitions are impossible.
Tipping can be linked to boundary crises and saddle-node bifurcations in non-autonomous systems.
An example with a bistable map illustrates complex bifurcation structures and tipping dynamics.
Abstract
Nonlinear dynamical systems subjected to a combination of noise and time-varying forcing can exhibit sudden changes, critical transitions or tipping points where large or rapid dynamic effects arise from changes in a parameter that are small or slow. Noise-induced tipping can occur where extremes of the forcing causes the system to leave one attractor and transition to another. If this noise corresponds to unresolved chaotic forcing, there is a limit such that this can be approximated by a stochastic differential equation (SDE) and the statistics of large deviations determine the transitions. Away from this limit it makes sense to consider tipping in the presence of chaotic rather than stochastic forcing. In general we argue that close to a parameter value where there is a bifurcation of the unforced system, there will be a chaotic tipping window outside of which tipping cannot happen,…
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Taxonomy
TopicsEconomic theories and models · Complex Systems and Time Series Analysis
