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  Nonmonotonic emergence of order from chaos in turbulent thermoacoustic fluid systems

Balaji, A., Tandon, S., Marwan, N., Kurths, J., Sujith, R. I. (2025): Nonmonotonic emergence of order from chaos in turbulent thermoacoustic fluid systems. - Physical Review E, 111, 5, 055105.
https://doi.org/10.1103/PhysRevE.111.055105

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Datensatz-Permalink: https://publications.pik-potsdam.de/pubman/item/item_32556 Versions-Permalink: https://publications.pik-potsdam.de/pubman/item/item_32556_1
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Balaji, Aswin1, Autor
Tandon, Shruti1, Autor
Marwan, Norbert2, Autor                 
Kurths, Jürgen2, Autor           
Sujith, R. I.1, Autor
Affiliations:
1External Organizations, ou_persistent22              
2Potsdam Institute for Climate Impact Research, ou_persistent13              

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 Zusammenfassung: Self-sustained order can emerge in complex systems due to internal feedback between coupled subsystems. Here, we present our discovery of a nonmonotonic emergence of order amidst chaos in a turbulent thermoacoustic fluid system. Fluctuations play a vital role in determining the dynamical state and transitions in a system. In this work, we use complex networks to encode jumps in amplitude scales owing to fluctuations as links between nodes representing amplitude bins. The number of possible amplitude transitions at a fixed timescale reflects the complexity of dynamics at that timescale. The network entropy quantifies the number of and uncertainty associated with such transitions. Using network entropy, we show that the uncertainty in fluctuations first increases and then decreases as the system transitions from chaos via intermittency to order. The competition between turbulence and nonlinear interactions leads to such nonmonotonic emergence of order amidst chaos in turbulent thermoacoustic fluid systems.

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Sprache(n): eng - English
 Datum: 2025-05-132025-05-13
 Publikationsstatus: Final veröffentlicht
 Seiten: 11
 Ort, Verlag, Ausgabe: -
 Inhaltsverzeichnis: -
 Art der Begutachtung: Expertenbegutachtung
 Identifikatoren: DOI: 10.1103/PhysRevE.111.055105
MDB-ID: No data to archive
PIKDOMAIN: RD4 - Complexity Science
Organisational keyword: RD4 - Complexity Science
Working Group: Development of advanced time series analysis techniques
Research topic keyword: Nonlinear Dynamics
Model / method: Nonlinear Data Analysis
Model / method: Quantitative Methods
Model / method: Research Software Engineering (RSE)
Research topic keyword: Complex Networks
 Art des Abschluß: -

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Titel: Physical Review E
Genre der Quelle: Zeitschrift, SCI, Scopus, p3
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Ort, Verlag, Ausgabe: -
Seiten: - Band / Heft: 111 (5) Artikelnummer: 055105 Start- / Endseite: - Identifikator: CoNE: https://publications.pik-potsdam.de/cone/journals/resource/150218
Publisher: American Physical Society (APS)