Bifurcations of the GKdV–mKdV-Like System with Medical Applications

Employing bifurcation theory in dynamical systems, we delve into analyzing the nonlinear wave dynamics and asymptotic behaviors of the generalized KdV–mKdV-like system. Our exhaustive analysis across varied parameter regimes uncovers a wide range of wave phenomena tied intricately to the system parameters. Our work elucidates the stability and complex dynamics in related biological systems, paving a transformative way for medical applications. The intricate dynamics revealed by the bifurcation phenomena in the GKdV–mKdV-like system are promising for advancing medical research and clinical practice, particularly through AI-driven optimization. This interdisciplinary approach bridges mathematical theory and medical innovation, opening a door for predictive modeling of health conditions and proactive healthcare strategies.

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Publication Details

Journal
International Journal of Bifurcation and Chaos
Published
2025-06-12
DOI
https://doi.org/10.1142/s0218127425501275
Primary Topic
Nonlinear Dynamics and Pattern Formation
Type
article
Field-Weighted Citation Impact
0.00

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article

Bifurcations of the GKdV–mKdV-Like System with Medical Applications

Han Shu, Yiwei Geng, Yiren Chen
International Journal of Bifurcation and Chaos
Nonlinear Dynamics and Pattern Formation
article

Bifurcations of the GKdV–mKdV-Like System with Medical Applications

Han Shu, Yiwei Geng, Yiren Chen
article en

Abstract

Employing bifurcation theory in dynamical systems, we delve into analyzing the nonlinear wave dynamics and asymptotic behaviors of the generalized KdV–mKdV-like system. Our exhaustive analysis across varied parameter regimes uncovers a wide range of wave phenomena tied intricately to the system parameters. Our work elucidates the stability and complex dynamics in related biological systems, paving a transformative way for medical applications. The intricate dynamics revealed by the bifurcation phenomena in the GKdV–mKdV-like system are promising for advancing medical research and clinical practice, particularly through AI-driven optimization. This interdisciplinary approach bridges mathematical theory and medical innovation, opening a door for predictive modeling of health conditions and proactive healthcare strategies.

International Journal of Bifurcation and ChaosVol. 35(10)
The University of Sydney (AU), Shenzhen University (CN), Shenzhen Polytechnic University (CN)
National Natural Science Foundation of China
Industry, innovation and infrastructure
Openalex Percentile: Top 86%
Nonlinear Dynamics and Pattern Formation
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