Dynamical investigation of the perturbed Chen-Lee-Liu model with conformable fractional derivative

被引:0
|
作者
Das, Nilkanta [2 ]
Ray, S. Saha [1 ]
机构
[1] Indian Inst Engn Sci & Technol, Dept Math, Howrah 711103, W Bengal, India
[2] Natl Inst Technol Rourkela, Dept Math, Rourkela 769008, Orissa, India
关键词
Chen-Lee-Liu equation; generalized projective Riccati equations method; conformable fractional derivative; 42.81.Dp; 04.20.Jb; 02.30.Jr; 42.65.Tg; 05.45.Yv; REDUCTION; SYSTEM;
D O I
10.1515/zna-2024-0112
中图分类号
O64 [物理化学(理论化学)、化学物理学];
学科分类号
070304 ; 081704 ;
摘要
This study focuses on the investigation of the perturbed Chen-Lee-Liu model with conformable fractional derivative by the implementation of the generalized projective Riccati equations technique. The proposed method uses symbolic computations to provide a dynamic and powerful mathematical tool for addressing the governing model and yielding significant results. Numerous analytical solutions of the governing model, including bell-shaped soliton solutions, anti-kink soliton solutions, periodic solitary wave solutions and other solutions, have been constructed effectively utilizing this effective technique. The findings acquired from the governing model utilizing the suggested technique demonstrate that all results are novel and presented for the first time in this study. Solitons are of immense significance in the domain of nonlinear optics due to their inherent ability to preserve their shape and velocity during propagation. The study of the propagation and the dynamical behaviour of the derived results have been explored by representing them graphically through 3D, density, and contour plots with different selections of arbitrary parameter values. The solitons acquired from the proposed model can provide significant advantages in the field of fiber-optic transmission technology. The obtained results demonstrate that the suggested approach is extremely promising, straightforward, and efficient. Furthermore, this approach may be effectively used in numerous emerging nonlinear models found in the fields of applied sciences and engineering.
引用
收藏
页数:14
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