Semantic Scholar Open Access 2024

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

Muhammad Nadeem Shamoona Jabeen O. A. Arqub

Abstrak

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.

Penulis (3)

M

Muhammad Nadeem

S

Shamoona Jabeen

O

O. A. Arqub

Format Sitasi

Nadeem, M., Jabeen, S., Arqub, O.A. (2024). Investigating the invariant solutions of (1+1)-dimensional Sawada–Kotera model using Lie symmetries analysis. https://doi.org/10.1142/s0217984925500022

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Informasi Jurnal
Tahun Terbit
2024
Bahasa
en
Sumber Database
Semantic Scholar
DOI
10.1142/s0217984925500022
Akses
Open Access ✓