Quantifying the parameter dependent basin of the unsafe regime of asymmetric Lévy-noise-induced critical transitions

Jinzhong Ma, Yong Xu, Yongge Li, Ruilan Tian, Shaojuan Ma, J. Kurths

Research output: Contribution to journalArticlepeer-review

33 Scopus citations

Abstract

In real systems, the unpredictable jump changes of the random environment can induce the critical transitions (CTs) between two non-adjacent states, which are more catastrophic. Taking an asymmetric Lévy-noise-induced tri-stable model with desirable, sub-desirable, and undesirable states as a prototype class of real systems, a prediction of the noise-induced CTs from the desirable state directly to the undesirable one is carried out. We first calculate the region that the current state of the given model is absorbed into the undesirable state based on the escape probability, which is named as the absorbed region. Then, a new concept of the parameter dependent basin of the unsafe regime (PDBUR) under the asymmetric Lévy noise is introduced. It is an efficient tool for approximately quantifying the ranges of the parameters, where the noise-induced CTs from the desirable state directly to the undesirable one may occur. More importantly, it may provide theoretical guidance for us to adopt some measures to avert a noise-induced catastrophic CT.

Original languageEnglish
Pages (from-to)65-84
Number of pages20
JournalApplied Mathematics and Mechanics (English Edition)
Volume42
Issue number1
DOIs
StatePublished - Jan 2021

Keywords

  • absorbed region
  • asymmetric Lévy noise
  • critical transition (CT)
  • escape probability
  • O175.13
  • O211.63
  • O29
  • parameter dependent basin of unsafe regime (PDBUR)
  • tri-stable model

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