Mathematically established chaos and forecast of statistics with recurrent patterns in Taylor-Couette flow
Wang B, Ayats López R, Deguchi K, Meseguer A, Mellibovsky F. 2025. Mathematically established chaos and forecast of statistics with recurrent patterns in Taylor-Couette flow. Journal of Fluid Mechanics. 1011, R2.
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Abstract
The transition to chaos in the subcritical regime of counter-rotating Taylor–Couette flow is investigated using a minimal periodic domain capable of sustaining coherent structures. Following a Feigenbaum cascade, the dynamics is found to be remarkably well approximated by a simple discrete map that admits rigorous proof of its chaotic nature. The chaotic set that arises for the map features densely distributed periodic points that are in one-to-one correspondence with unstable periodic orbits (UPOs) of the Navier–Stokes system. This supports the increasingly accepted view that UPOs may serve as the backbone of turbulence and, indeed, we demonstrate that it is possible to reconstruct every statistical property of chaotic fluid flow from UPOs.
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Date Published
2025-05-13
Journal Title
Journal of Fluid Mechanics
Publisher
Cambridge University Press
Acknowledgement
This research is supported by the Australian Research Council Discovery Project DP230102188 and the Ministerio de Ciencia, Innovación y Universidades (Agencia Estatal de Investigación, project nos PID 2020-114043 GB-I00 (MCIN/AEI/10.13039/501100011033) and PID 2023-150029NB-I00 (MCIN/AEI/10.13039/ 501100011033/FEDER, UE). B.W. and R.A.’s research has been funded by the European Union’s Horizon 2020 research and innovation programme (Marie Skłodowska-Curie grant agreement no. 101034413). R.A. has also been funded by the Austrian Science Fund (FWF) 10.55776/ESP1481224.
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1011
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R2
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Cite this
Wang B, Ayats López R, Deguchi K, Meseguer A, Mellibovsky F. Mathematically established chaos and forecast of statistics with recurrent patterns in Taylor-Couette flow. Journal of Fluid Mechanics. 2025;1011. doi:10.1017/jfm.2025.151
Wang, B., Ayats López, R., Deguchi, K., Meseguer, A., & Mellibovsky, F. (2025). Mathematically established chaos and forecast of statistics with recurrent patterns in Taylor-Couette flow. Journal of Fluid Mechanics. Cambridge University Press. https://doi.org/10.1017/jfm.2025.151
Wang, Baoying, Roger Ayats López, K. Deguchi, A. Meseguer, and F. Mellibovsky. “Mathematically Established Chaos and Forecast of Statistics with Recurrent Patterns in Taylor-Couette Flow.” Journal of Fluid Mechanics. Cambridge University Press, 2025. https://doi.org/10.1017/jfm.2025.151.
B. Wang, R. Ayats López, K. Deguchi, A. Meseguer, and F. Mellibovsky, “Mathematically established chaos and forecast of statistics with recurrent patterns in Taylor-Couette flow,” Journal of Fluid Mechanics, vol. 1011. Cambridge University Press, 2025.
Wang B, Ayats López R, Deguchi K, Meseguer A, Mellibovsky F. 2025. Mathematically established chaos and forecast of statistics with recurrent patterns in Taylor-Couette flow. Journal of Fluid Mechanics. 1011, R2.
Wang, Baoying, et al. “Mathematically Established Chaos and Forecast of Statistics with Recurrent Patterns in Taylor-Couette Flow.” Journal of Fluid Mechanics, vol. 1011, R2, Cambridge University Press, 2025, doi:10.1017/jfm.2025.151.
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