The Kuramoto–Tsuzuki equation: Invariant theory, bifurcation, chaotic behavior, and sensitivity analysis
Articles
Mir Sajjad Hashemi
University of Bonab image/svg+xml
https://orcid.org/0000-0002-5529-3125
Mushtaq K. Abdalrahem
University of Al-Ameed image/svg+xml
Mohammad Esmael Samei
Bu-Ali Sina University image/svg+xml
Kamyar Hosseini
Near East University image/svg+xml
https://orcid.org/0000-0001-7137-1456
Mustafa Bayram
Biruni University image/svg+xml
https://orcid.org/0000-0002-2994-7201
Published 2026-10-15
https://doi.org/10.15388/namc.31.49070
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Keywords

Kuramoto–Tsuzuki equation
Lie symmetry method
generalized Abel equation method
dynamical behavior

How to Cite

Hashemi, M.S. et al. (2026) “The Kuramoto–Tsuzuki equation: Invariant theory, bifurcation, chaotic behavior, and sensitivity analysis”, Nonlinear Analysis: Modelling and Control, 31, pp. 1–19. doi:10.15388/namc.31.49070.

Abstract

This paper investigates the Kuramoto–Tsuzuki equation through the application of the Lie symmetry method. We derive three Lie algebra generators pertinent to this equation, facilitating a transformation that reduces the partial differential equation to an ordinary differential equation. One of the reduced ordinary differential equations is solved analytically using Nucci’s reduction method. The second reduced ordinary differential equation, derived from a combination of generators, is solved directly by some manipulations. Then we use a transformation to convert the Kuramoto–Tsuzuki equation into a second-order nonlinear ordinary differential equation. Utilizing a recently introduced technique, the second-degree generalized Abel equation method, we successfully obtain soliton solutions for the reduced ordinary differential equation. Additionally, we explore bifurcation phenomena and analyze phase portraits, providing deeper insights into the dynamic behavior of the system. The analysis of chaotic behavior and sensitivity of the  corresponding dynamical system contributes to a better understanding of the Kuramoto–Tsuzuki equation and highlights the effectiveness of the proposed methods for analyzing complex nonlinear equations.

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References

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