Rate-Induced Tipping: Thresholds, Edge States and Connecting Orbits

TL;DR

This paper develops a mathematical framework for understanding rate-induced tipping in multidimensional nonautonomous dynamical systems, focusing on thresholds and edge states that determine system stability under parameter variation.

Contribution

It introduces the concept of regular edge states and edge tails to classify R-tipping, providing verifiable conditions for predicting tipping points in complex systems.

Findings

Defined R-tipping and critical rates using special solutions.

Linked R-tipping to regular edge states and thresholds.

Provided conditions for reversible and irreversible R-tipping.

Abstract

Rate-induced tipping (R-tipping) occurs when time-variation of input parameters of a dynamical system interacts with system timescales to give genuine nonautonomous instabilities. Such instabilities appear as the input varies at some critical rates and cannot, in general, be understood in terms of autonomous bifurcations in the frozen system with a fixed-in-time input. This paper develops an accessible mathematical framework for R-tipping in multidimensional nonautonomous dynamical systems with an autonomous future limit. We focus on R-tipping via loss of tracking of base attractors that are equilibria in the frozen system, due to crossing what we call regular thresholds. These thresholds are associated with regular edge states: compact hyperbolic invariant sets with one unstable direction and orientable stable manifold, that lie on a basin boundary in the frozen system. We define R-tipping and critical rates for the nonautonomous system in terms of special solutions that limit to a compact invariant set of the future limit system that is not an attractor. We focus on the case when the limit set is a regular edge state, which we call the regular R-tipping edge state that anchors the associated regular R-tipping threshold at infinity. We introduce the concept of edge tails to rigorously classify R-tipping into reversible, irreversible, and degenerate cases. The main idea is to compactify the problem and use regular edge states of the future limit system to analyse R-tipping in the nonautonomous system. This allows us to give sufficient conditions for the occurrence of R-tipping in terms of easily testable properties of the frozen system and input variation, and necessary and sufficient conditions for the occurrence of reversible and irreversible R-tipping in terms of computationally verifiable (heteroclinic) connections to regular R-tipping edge states in the compactified system.