Self-feedback delay induces extreme events in the theoretical Brusselator system

We present a study of the theoretical Brusselator model with time-delayed self-feedback, demonstrating its ability to induce extreme events when delays in reaction processes significantly influence subsequent dynamics, with and without diffusion. Stability analyses reveal the mechanisms driving this behavior with respect to the delay time. The occurrence of extreme events is validated using various numerical and statistical tools, including phase portraits, time series, probability distribution functions, return periods, and spatiotemporal evolution. A comprehensive two-parameter scan delineates the parameter regimes where the extreme events emerge, alongside the identification of transient chaos within specific regions of the parameter space. To confirm these numerical findings, we constructed an analog electronic circuit that emulates the model, providing experimental validation of the predicted dynamics.

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Publication Details

Journal
Physical review. E
Published
2025-06-11
DOI
https://doi.org/10.1103/v1h2-42w1
Primary Topic
Nonlinear Dynamics and Pattern Formation
Type
article
Field-Weighted Citation Impact
0.00

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article

Self-feedback delay induces extreme events in the theoretical Brusselator system

I. Manimehan, K. Thamilmaran, Sabarathinam Srinivasan, Karl J. Friston
Physical review. E
Nonlinear Dynamics and Pattern Formation
article

Self-feedback delay induces extreme events in the theoretical Brusselator system

I. Manimehan, K. Thamilmaran, Sabarathinam Srinivasan, Karl J. Friston
article en

Abstract

We present a study of the theoretical Brusselator model with time-delayed self-feedback, demonstrating its ability to induce extreme events when delays in reaction processes significantly influence subsequent dynamics, with and without diffusion. Stability analyses reveal the mechanisms driving this behavior with respect to the delay time. The occurrence of extreme events is validated using various numerical and statistical tools, including phase portraits, time series, probability distribution functions, return periods, and spatiotemporal evolution. A comprehensive two-parameter scan delineates the parameter regimes where the extreme events emerge, alongside the identification of transient chaos within specific regions of the parameter space. To confirm these numerical findings, we constructed an analog electronic circuit that emulates the model, providing experimental validation of the predicted dynamics.

Physical review. EVol. 112(1)
National Research University Higher School of Economics (RU), Chennai Mathematical Institute (IN), Bharathidasan University (IN)
Tamilnadu State Council For Science And Technology
Climate action
Openalex Percentile: Top 86%
Nonlinear Dynamics and Pattern Formation
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Self-feedback delay induces extreme events in the theoretical Brusselator system — I. Manimehan, K. Thamilmaran, et al. · Physical review. E (2025) | TGRS Research Map | TGRS