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  Internal noise interference to warnings of tipping points in generic multi-dimensional dynamical systems

Morr, A., Boers, N., Ashwin, P. (in press): Internal noise interference to warnings of tipping points in generic multi-dimensional dynamical systems. - SIAM Journal on Applied Dynamical Systems.
https://doi.org/10.48550/arXiv.2311.18597

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 ???ViewItemFull_lblCreators???:
Morr, Andreas1, ???ENUM_CREATORROLE_AUTHOR???           
Boers, Niklas1, ???ENUM_CREATORROLE_AUTHOR???           
Ashwin, Peter2, ???ENUM_CREATORROLE_AUTHOR???
???ViewItemFull_lblAffiliations???:
1Potsdam Institute for Climate Impact Research, ou_persistent13              
2External Organizations, ou_persistent22              

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 ???ViewItemFull_lblAbstract???: A deterministic complex system that slowly passes through a generic fold-type (saddle-node) bifurcation can be reduced to one-dimensional dynamics close to the bifurcation because of the centre manifold theorem. It is often tacitly assumed that the same is true in the presence of stochasticity or noise so that, for example, critical slowing down (CSD) indicators can be applied as if the system were one-dimensional. In this work, we show that this may not be the case; specifically, we demonstrate that noise in other dimensions may interfere with indicators of CSD, also referred to as early warning signals (EWS). We point out a generic mechanism by which both variance and AC(1), as well as other EWS, can fail to signal an approaching bifurcation. This can in principle occur whenever one noise source drives multiple components of the system simultaneously. Even under the favourable assumptions of uncoupled deterministic dynamics and stationary noise, observables of the system can then exhibit false negative or false positive CSD indications. We isolate this phenomenon in an example that represents a generic two-dimensional fold-type bifurcation setting.

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???ViewItemFull_lblLanguages???: eng - English
 ???ViewItemFull_lblDates???: 2024-08-01
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 ???ViewItemFull_lblIdentifiers???: ???ENUM_IDENTIFIERTYPE_DOI???: 10.48550/arXiv.2311.18597
???ENUM_IDENTIFIERTYPE_PIKDOMAIN???: RD4 - Complexity Science
???ENUM_IDENTIFIERTYPE_ORGANISATIONALK???: RD4 - Complexity Science
???ENUM_IDENTIFIERTYPE_ORGANISATIONALK???: FutureLab - Artificial Intelligence in the Anthropocene
???ENUM_IDENTIFIERTYPE_RESEARCHTK???: Tipping Elements
???ENUM_IDENTIFIERTYPE_MDB_ID???: pending
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???ViewItemFull_lblSourceTitle???: SIAM Journal on Applied Dynamical Systems
???ViewItemFull_lblSourceGenre???: ???ENUM_GENRE_JOURNAL???, SCI, Scopus
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???ENUM_IDENTIFIERTYPE_PUBLISHER???: Society for Industrial and Applied Mathematics (SIAM)