Noise-Driven Collective Behavior in Mean-Field Coupled Lorenz Oscillator Networks

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This is an unedited manuscript accepted for publication and provided as an Article in Press for early access at the author’s request. The article will undergo copyediting, typesetting, and galley proof review before final publication. Please be aware that errors may be identified during production that could affect the content. All legal disclaimers of the journal apply.

Year : 2026 | Volume : 04 | 02 | Page :
By

Swaati Saandhya,

Debarati Ghosh,

A. K. Bhaskar,

  1. Research Scholar, Department of Physics, Patliputra University, Patna, Bihar, India
  2. Assistant Professor, Department of Physics, T. P. S. College, Patna, Bihar, India
  3. Professor and HOD, Department of Physics, COCAS, Patna, Bihar, India

Abstract

This work investigates the spatiotemporal dynamics of an ensemble of 100 identical Lorenz oscillators coupled through a mean-field scheme in the presence of additive noise. Building on prior studies of spatiotemporal chaos in coupled Lorenz arrays and mean-field coupled chaotic oscillators, the focus is on how the competition between deterministic coupling and stochastic forcing shapes collective behavior, including complete synchronization, desynchronization, clustered states, and noise-modified spatiotemporal chaos. The governing equations are formulated for a globally coupled network with coupling in one or multiple variables, and Gaussian white noise is introduced as either common or independent forcing. Parameter scans over coupling strength and noise intensity reveal distinct dynamical regimes characterized via order parameters, space–time plots, and statistical measures. Results show that mean-field coupling alone can drive the ensemble to synchronized or oscillation- suppressed states, whereas appropriate levels of noise can both destroy and induce order by facilitating noise-induced synchronization and transitions between multistable attractors. The numerical findings are discussed in the broader context of noise-induced phenomena and chimera-like patterns in coupled chaotic oscillators and suggest directions for further analytical and experimental exploration providing valuable insights for designing robust nonlinear dynamical systems with improved stability, adaptability, resilience, and synchronization performance under uncertainty.

Keywords: Coupled Lorenz oscillators, Mean field coupling, Synchronization, De synchronization, Clustered states, Chaos.

How to cite this article: Swaati Saandhya, Debarati Ghosh, A. K. Bhaskar. Noise-Driven Collective Behavior in Mean-Field Coupled Lorenz Oscillator Networks. International Journal of Advanced Control and System Engineering. 2026; 04(02):-.
How to cite this URL: Swaati Saandhya, Debarati Ghosh, A. K. Bhaskar. Noise-Driven Collective Behavior in Mean-Field Coupled Lorenz Oscillator Networks. International Journal of Advanced Control and System Engineering. 2026; 04(02):-. Available from: https://journals.stmjournals.com/ijacse/article=2026/view=249672

References

  1. Pimenova AV, Goldobin DS, Rosenblum M, Pikovsky A. Interplay of coupling and common noise at the transition to synchrony in oscillator populations. Scientific reports. 2016 Dec 6;6(1):38518.
  2. Khatun AA, Muthanna YA, Punetha N, Jafri HH. Collective dynamics of coupled Lorenz oscillators near the Hopf boundary: Intermittency and chimera states. Physical Review E. 2024 Mar;109(3):034208.
  3. Bick C, Ashwin P, Rodrigues A. Chaos in generically coupled phase oscillator networks with nonpairwise interactions. Chaos: An Interdisciplinary Journal of Nonlinear Science. 2016 Sep 1;26(9).
  4. Zhou C, Kurths J. Noise-induced phase synchronization and synchronization transitions in chaotic oscillators. Physical review letters. 2002 May 28;88(23):230602.
  5. Rakshit S, Bera BK, Majhi S, Hens C, Ghosh D. Basin stability measure of different steady states in coupled oscillators. Scientific reports. 2017 Apr 5;7(1):45909.
  6. Pazó D, Montejo N, Pérez-Munuzuri V. Wave fronts and spatiotemporal chaos in an array of coupled Lorenz oscillators. Physical Review E. 2001 May 15;63(6):066206.
  7. Mishra A, Saha S, Dana SK. Chimeras in globally coupled oscillators: A review. Chaos: An Interdisciplinary Journal of Nonlinear Science. 2023 Sep 1;33(9).
  8. Henderson RD. Nonlinear dynamics and pattern formation in turbulent wake transition. Journal of fluid mechanics. 1997 Dec;352:65-112.
  9. Kemeth FP, Haugland SW, Schmidt L, Kevrekidis IG, Krischer K. A classification scheme for chimera states. Chaos: An Interdisciplinary Journal of Nonlinear Science. 2016 Sep 1;26(9).
  10. Martens EA, Thutupalli S, Fourriere A, Hallatschek O. Chimera states in mechanical oscillator networks. Proceedings of the National Academy of Sciences. 2013 Jun 25;110(26):10563-7.
  11. Chimal-Eguía JC, Guzmán-Aguilar F, Silva-García VM, Báez-Medina H, Cardona-López MA. From different systems to a single common model: A review of dynamical systems leading to Lorenz equations. Axioms. 2025 Jun 13;14(6):465.
  12. Sparrow C. The Lorenz equations: bifurcations, chaos, and strange attractors. Springer Science & Business Media; 2012 Dec 6.
  13. Li Y, Shi J, Aihara K. Mean-field analysis of Stuart–Landau oscillator networks with symmetric coupling and dynamical noise. Chaos: An Interdisciplinary Journal of Nonlinear Science. 2022 Jun 1;32(6).
  14. Khatun AA, Jafri HH. Chimeras in multivariable coupled Rössler oscillators. Communications in Nonlinear Science and Numerical Simulation. 2021 Apr 1;95:105661.
  15. Reddy K. Compact dynamical mean-field theory of oscillator networks. Physical Review E. 2026 Mar;113(3):034222.

Ahead of Print Subscription Review Article
Volume 04
02
Received 23/06/2026
Accepted 03/07/2026
Published 15/07/2026
Publication Time 22 Days


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