Investigating the invariant solutions of (1+1)-dimensional Sawada-Kotera model using Lie symmetries analysis

被引:0
|
作者
Nadeem, Muhammad [1 ]
Jabeen, Shamoona [2 ]
Abu Arqub, Omar [3 ]
机构
[1] Qujing Normal Univ, Sch Math & Stat, Qujing 655011, Peoples R China
[2] Univ Sci & Technol, Dept Math, Bannu 28100, Khyber Pakhtunk, Pakistan
[3] Al Balqa Appl Univ, Fac Sci, Dept Math, Salt 19117, Jordan
来源
MODERN PHYSICS LETTERS B | 2025年 / 39卷 / 15期
关键词
Sawada-Kotera model; Lie symmetries analysis; invariant solutions; sensitivity analysis; CONSERVATION-LAWS; EQUATION; SOLITONS; DYNAMICS; ITO;
D O I
10.1142/S0217984925500022
中图分类号
O59 [应用物理学];
学科分类号
摘要
Here attention is focused on the (1+1)-dimensional Sawada-Kotera (SK) model that is prominent in mathematical physics and engineering to analyze plasmas and coherent systems for communication. Our techniques offer fresh perspectives on the model's attributes and structure, deepening our comprehension of the underlying dynamics. First, the SK model is reduced to ordinary differential equations by constructing the Lie symmetries and using the associated transformation. Graphs are used to build and display invariant solutions. This strategy has caused the revelation of novel constant solutions that have not been found in the previous works. We offer new understandings of nature and changes observed during the SK derivation by taking advantage of the Lie symmetries powerful tools. Next, the fluctuating layout of proposed framework is examined from several perspectives such as sensitivity and bifurcation analysis. We examined the bifurcation analysis of planar dynamical system by using bifurcation theory. We also include an external periodic perturbation term that breaks regular patterns in the perturbed dynamical system. Graphical structures are provided to display the invariant solutions. The sensitivity of the SK model is determined to be strong after sensitivity analysis under different initial conditions. These results are fascinating, fresh, and conceptually useful for understanding the suggested framework. In mathematics and the applied sciences, forecasting and learning about new technologies are greatly aided by the dynamic aspect of system processing.
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页数:20
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