Optical dromions for M-fractional Kuralay equation via complete discrimination system approach along with sensitivity analysis and quasi-periodic behavior

被引:0
|
作者
Abbas, Syed Oan [1 ]
Shabbir, Sana [1 ]
Rizvi, Syed T. R. [1 ]
Seadawy, Aly R. [2 ]
机构
[1] COMSATS Univ Islamabad, Dept Math, Lahore Campus, Lahore 54000, Pakistan
[2] Taibah Univ, Fac Sci, Math Dept, Al Madinah Al Munawwarah 41411, Saudi Arabia
来源
MODERN PHYSICS LETTERS B | 2024年
关键词
M-fractional Kuralay-II equations; machine learning tools; quasi-periodic behavior; qualitative behavior; optical soliton; ZAKHAROV-KUZNETSOV EQUATION; SOLITARY WAVE SOLUTIONS; STABILITY ANALYSIS; SOLITONS;
D O I
10.1142/S0217984925500484
中图分类号
O59 [应用物理学];
学科分类号
摘要
This paper investigates new analytical wave solutions for the fractional Kuralay-IIB equations (FK-IIBE), including a new definition of the fractional derivative. This model works in disciplines such as ferromagnetic materials, optical fibers, wave mixing, and nonlinear optics. The integrable motion of space curves can be determined by our governing model. This research holds great importance in the area of optical fibers, exact and analytical solitons solution. The polynomial method's complete discrimination system (CDSPM) is used to identify a variety of exact and analytical soliton solutions such as periodic, hyperbolic, rational, Jacobian elliptic (JE), and trigonometric functions. Additionally, we also convert the JE function into a solitary wave (SW) solution. To provide a comprehensive understanding of the dynamic aspects of the system, we also address bifurcation points, quasi-periodic behavior, sensitivity analysis, Poincare maps, time series profile, and critical solution conditions. The research offers straightforward, efficient algorithms that can consistently and effectively address FK-IIBE. Machine learning technologies are also utilized to satisfy the criteria defined by dynamic analysis. Python regression learner tools are used for reverse engineering to analyze the mathematical model's equilibrium based on parameter intervals and thresholds determined by dynamical analysis.
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页数:31
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