Abstract
The primary aim of this study is to examine the deep characteristics of the Shynaray-IIA equation by applying the improved generalized Riccati equation mapping approach. We derive a dynamical system that is effectively linked to the equation by using the Galilean transformation. Next, we analyze the bifurcation mechanisms in this derived system by applying principles from planar dynamical systems theory. We conducted a thorough investigation of the probable occurrence of chaotic behaviors by introducing a perturbed term into the dynamical system and systematically studying the Shynaray-IIA equation. The inclusion of a thorough two-phase portrayal deepens the scope of this study. We utilized the Runge–Kutta method to thoroughly examine the sensitivity of the dynamical system. The analytical technique allowed us to confirm that slight perturbations in the initial conditions have little impact on the stability of the solution. Furthermore, the advanced technique of utilizing the improved generalized Riccati equation mapping approach is utilized to obtain new exact solutions for the Shynaray-IIA model. We exhibit visual outcomes for individual solutions, providing a comprehensive evaluation by showcasing different results using MATLAB across several dimensions. These solutions and chaotic analysis will be of high significance in all areas of applications of shynaray IIA equation such as optical communications, tsunami and tidal wave phenomena.
Similar content being viewed by others
Avoid common mistakes on your manuscript.
1 Introduction
The Shynaray-IIA equation is a well-known nonlinear partial differential equation (PDE) that presents a challenging problem due to its complex behavior and wide-ranging implications across various scientific fields, such as engineering, mathematics, environmental science and many more. In the field of applied mathematics, the quest for exact solutions to the Shynaray-IIA Equation (S-IIAE) is noteworthy due to its importance in defining the basic characteristics of nonlinear systems (Dong et al. 2022). Over the last ten years, there has been an increasing interest in the study of nonlinear partial differential equations in both applied mathematics (Akinyemi 2023) and pure mathematics (Liu et al. 2022). The application of computer technology has greatly facilitated the exploration process (Zhang and Shi 2022), offering mathematicians more opportunities in the applied sciences. The advent of nonlinear models, which are commonly found in domains like engineering and mathematical physics, has grown in importance and calls for careful analysis and understanding. The increasing significance of nonlinear partial differential equations (PDEs) in modern scientific research can be seen by the intersection of exact mathematical formulations, computer technology advancements, and their practical applications (Nayyer et al. 2022). Academics have become interested in researching soliton solutions within nonlinear partial differential equations (NLPDEs) using new mathematical analysis techniques. There has been a shift in attention in this discipline towards the dynamical modelling of these complex equations, aiming to discover exact solutions through the application of scientific methods. Furthermore, there is an increasing interest in using computer programmers to enhance the efficiency of complex mathematical calculations. Various fields of research and engineering, including quantum physics, nonlinear optics, electrical and computer engineering, and hydrodynamic and plasma dynamics, heavily depend on these equations (Kumar et al. 2022, 2020; Khan et al. 2022; Osman 2019).
The search for travelling wave solutions demonstrates the importance of accurately modelling physical circumstances. The fundamental importance of solitons stems from their stable, self-contained, and perpetual wave properties, which enable them to preserve their distinctiveness when transitioning between different mediums. The phenomena discussed here arise from the interplay between dispersion and nonlinearity, offering a profound comprehension of the fundamental physical dynamics. These findings are particularly significant for studying travelling waves and solitary solutions in NLPDEs. Optical solitons, which exhibit characteristics similar to particles, have been effectively utilized in telecommunications. They have been created and utilized in waveguides such fibers and lasers (Osman et al. 2019; Alquran and Jarrah 2019; Jaradat et al. 2017, 2015; Alquran et al. 2018). The study of optical solitons in nonlinear materials is one field that is currently receiving a lot of attention from researchers. All-optical switch’s function and high-speed data transmission over optical fibers are made possible by optical solitons, which are persistent bundles of waves (Zhang and Shi 2022; Kumar and Prakash 2022). Their outstanding capacity to maintain their strength and structural integrity over long distances is essential to ensuring the uninterrupted flow of signals. Consequently, this improves modern telecommunication systems’ efficiency and reliability considerably (Tao et al 2022; Debnath and Debnath 2005). The primary objective of exploring this field of study is to gain a deeper understanding of the behavior shown by solitons in order to ultimately improve their usefulness in practical applications. By doing this, researchers hope to significantly advance communication technology and improve the ways in which we share and communicate information. Currently, the application of various methods to obtain exact solutions for partial differential equations (PDEs) and nonlinear evolution equations (NLEEs) is very advantageous. Such as the tanh method (Wazwaz 2006), the extended auxiliary equation method (Seadawy 2017; Akram et al. 2021; Rizvi et al. 2020), the variational method (Seadawy 2011), the modified and extended simple equation method (Ali and Seadawy 2017; Arshad et al. 2017; Arnous et al. 2017), the direct algebraic method (Seadawy and El-Rashidy 2013), generalized exponential rational function method (Younas et al. 2021), extended F-expansion method (Bhrawy et al. 2013; Ebadi et al. 2013), \({G \mathord{\left/ {\vphantom {G {G^{\prime } }}} \right. \kern-0pt} {G^{\prime } }}\)–expansion method (Iqbal et al. 2021), sine–Gordon expansion method (Ali et al. 2020), modified sub-equation method (Akinyemi et al 2023), Darboux method (Mani Ranjan et al. 2023), homogeneous balance (Jafari et al. 2014), and so on.
Current academic research is mostly centered around a diverse range of nonlinear partial differential equations (PDEs) and the corresponding dynamic systems that govern them. The presence of sophisticated symbolic software has significantly enhanced researchers’ understanding of dynamic systems, enabling comprehensive investigation (He et al. 2023; Zhu et al. 2023). Exploring bifurcation, investigating chaotic behaviors, and conducting sensitivity analysis are just a few of the numerous methodologies employed in the study of dynamic systems. Academic interest in these realms of dynamic systems has recently increased significantly. The increasing interest is demonstrated by the attention given to widely recognized partial differential equations (PDEs). Xu et al. (2023) examined the application of a bifurcation extended hybrid controller architecture in a delayed chemostat model. Luo et al. (2023) studied the perturbed non-linear Schrödinger equation with Kerr law non-linearity. They also performed sensitivity analysis and examined bifurcations and chaotic dynamics. In addition, they identified multiple novel optical solitons. Du et al. (2023) conducted a study on the novel extended Vakhnenko-Parkes equation, exploring numerous solitons, bifurcations, and high-order breathers. Han et al. (2023) conducted a study on the bifurcation, sensitivity analysis, and accurate travelling wave solutions of the stochastic fractional Hirota-Maccari system. Li et al. (2023) examined the coupled Kundu-Mukherjee-Naskar equation to analyze its chaotic pattern, bifurcation, sensitivity, and travelling wave solution. Hosseini et al. (2023) examined this generalized Schrödinger equation to analyze its bifurcation, chaotic dynamics, sensitivity, and soliton solutions. Jhangeer et al. (2021) examined the quasi-periodic, chaotic, and travelling wave structures of the modified Gardner equation.
Our work takes advantage of the enhanced generalized Riccati equation mapping method to address this mathematical problem. The focus of our study is the Galilean transformation, a fundamental concept in classical mechanics that enables us to reduce complex partial differential equations (PDEs) into simpler ordinary differential equations (ODEs). Including a re-spatial derivative component that emphasizes temporal variations simplifies the mathematical examination and resolution of ordinary differential equations (ODEs). Studying relative motion across different inertial frames is crucial. We initiate our research by doing a thorough bifurcation analysis, utilizing the standard planar dynamical systems model to determine the system’s intricate properties. By employing the Runge–Kutta method, we enhance the effectiveness of this analysis, ensuring that our solutions remain stable and unaltered even when there are minor modifications to the initial conditions. This rigorous approach guarantees the replies’ reliability by allowing us to assess their stability in the face of minor disturbances. In addition, we investigate the realm of disorder in disrupted dynamic systems, utilizing several techniques to identify chaotic patterns in both visual depictions and temporal data sequences. By providing insights into the intricate exchanges between the many parameters that make up the Shynaray-IIA equation, this approach has shown to be a useful tool for solving nonlinear PDEs exactly. The mathematical form of the Shynaray-IIA equation can be expressed as
The unknown variables denoted as, \(w(x,t)\), \(r(x,t)\) and \(v(x,t)\), are dependent on the independent variables x and t. It is important to note that m and n are constants. The equation possesses integrable characteristics through the application of the inverse scattering transform. Various properties, including geometrical and gauge equivalence as well as integrable motion along apace curves, have been thoroughly investigated. Recently, an improved Sardar sub-equation method and a new direct algebraic method have been presented to investigate solitary wave solutions in the Shynaray-IIA equation, phenomena such as tidal waves and tsunamis are characterized by distinctive features (Faridi et al. 2024; Khan et al. 2024). Our primary objective is to contribute to existing knowledge by presenting new exact solutions for the Shynaray-IIA equation including rational, exponential, hyperbolic trigonometric and trigonometric based on the enhanced generalized Riccati equation mapping technique. By doing so, we hope to advance the understanding of the equation’s dynamics and open new avenues for its application across scientific domains.
The organization of this paper is outlined as follows: Sect. 1 offers a concise introduction; Sect. 2 details the methodology employed in the scheme; Sect. 3 delves into bifurcation analysis, chaotic behavior, and sensitivity analysis; Sect. 4 discusses the application of the IMREMM; Sect. 5 presents the graphical representation of the solution; and Sect. 6 concludes the study.
2 Methodology of the proposed improved techniques
Examine the nonlinear partial differential equation
where \(u=u(x,t)\) is an unknown function that depends on \(x\) and \(t.\) At the moment, a specific wave transformation has been introduced
By utilizing the transformation from Eq. (3) to Eq. (2) with \(c\ne 0\), the nonlinear partial differential equation (NPDE) is reduced and transformed into a nonlinear ordinary differential equation (ODE) with an integral order
We have solved the above non-linear ODE by using IGREMM, the techniques have the following standard form:
where \({a}_{j}\) \((j=\text{0,1},\text{2,3},\dots .N)\).
The value of \(N\) is found by balancing the highest order derivative term and the highest order nonlinear term in Eq. (4). Thus, the highest degree of \(\frac{{d^{r} U}}{{d\Omega^{r} }}\) is identified as:
2.1 The enhanced generalized Riccati equation mapping method
The \(Q\left( \Omega \right)\) in Eq. (5) is the solution of
where \(\beta_{i} , i = 0,1,2{ }\) are constants and they need to be determined later. The following set of solutions is obtained with the integration constant\(\text{C}\):
-
1 For \(\beta_{0} = \beta_{1} = 0\) and \(\beta_{2} \ne 0,\) the rational solutions will be of the form:
$$Q_{1}^{ \pm } \left( \Omega \right) = \pm \frac{1}{{\beta_{2} \left( {\Omega + C} \right)}}.$$(9) -
2 For \(\beta_{0} = 0\), the solution of the exponential type is simply obtained as:
$$Q_{2} \left( \Omega \right) = - \frac{{\beta_{1} \phi }}{{\beta_{1} (e^{{ - \beta_{1} \left( {\Omega + C} \right)}} + \varphi ) }},$$(10)$$Q_{3} \left( \Omega \right) = - \frac{{\beta_{1} e^{{\beta_{1} \left( {\Omega + C} \right)}} }}{{\beta_{2} (e^{{\beta_{1} \left( {\Omega + C} \right)}} + \varphi ) }}.$$(11) -
3 For \(\rho = \beta_{1}^{2} - 4\beta_{0} \beta_{1} > 0\), \(\beta_{1} \beta_{2} \ne 0\) or \(\beta_{0} \beta_{2} \ne 0\), and \({\text{p}}\) and \({\text{q}}\) are nonzero real constants, the solutions presented in the form of trigonometric hyperbolic functions are given below:
$$Q_{4} \left( \Omega \right) = - \frac{\sqrt \rho }{{2\beta_{2} }}\tanh \left( {\frac{\sqrt \rho }{2}\left( {\Omega + C} \right)} \right) - \frac{{\beta_{1} }}{{2\beta_{2} }},$$(12)$$Q_{5} \left( \Omega \right) = - \frac{\sqrt \rho }{{2\beta_{2} }}\coth \left( {\frac{\sqrt \rho }{2}\left( {\Omega + C} \right)} \right) - \frac{{\beta_{1} }}{{2\beta_{2} }},$$(13)$$Q_{6}^{ \pm } \left( \Omega \right) = - \frac{\sqrt \rho }{{2\beta_{2} }}(\tanh \left( {\sqrt \rho \left( {\Omega + C} \right)} \right) \pm isech\left( {\sqrt \rho \left( {\Omega + C} \right)} \right) - \frac{{\beta_{1} }}{{2\beta_{2} }},$$(14)$$Q_{7}^{ \pm } \left( \Omega \right) = - \frac{\sqrt \rho }{{2\beta_{2} }}\left( {\coth \left( {\sqrt \rho \left( {\Omega + C} \right)} \right) \pm csch\left( {\sqrt \rho \left( {\Omega + C} \right)} \right)} \right) - \frac{{\beta_{1} }}{{2\beta_{2} }},$$(15)$$Q_{8} \left( \Omega \right) = - \frac{\sqrt \rho }{{4\beta_{2} }}(\tanh \left( {\frac{\sqrt \rho }{4}\left( {\Omega + C} \right)} \right) + coth\left( { \frac{\sqrt \rho }{4}\left( {\Omega + C} \right)} \right) - \frac{{\beta_{1} }}{{2\beta_{2} }},$$(16)$$Q_{9}^{ \pm } \left( \Omega \right) = \frac{{ \pm \sqrt {\rho \left( {p^{2} + q^{2} } \right)} - p\sqrt \rho \cosh \left( {\sqrt \rho \left( {\Omega + C} \right)} \right)}}{{2\beta_{2} \left( {p sinh\left( {\sqrt \rho \left( {\Omega + C} \right)} \right) + q} \right)}} - \frac{{\beta_{1} }}{{2\beta_{2} }},$$(17)$$Q_{10} \left( \Omega \right) = \frac{{2\beta_{0} \cosh \left( { \frac{\sqrt \rho }{2}\left( {\Omega + C} \right)} \right)}}{{\sqrt \rho sinh\left( {\frac{\sqrt \rho }{2}\left( {\Omega + C} \right)} \right) - \beta_{1} cosh\left( {\frac{\sqrt \rho }{2}\left( {\Omega + C} \right)} \right)}},$$(18)$${\text{Q}}_{11} \left( \Omega \right) = \frac{{2{\upbeta }_{0} \sinh \left( {{ }\frac{{\sqrt {\uprho } }}{2}\left( {\Omega + {\text{C}}} \right)} \right)}}{{\sqrt {\uprho } \cosh \left( {\frac{{\sqrt {\uprho } }}{2}\left( {\Omega + {\text{C}}} \right)} \right) - {\upbeta }_{1} \sinh \left( {\frac{{\sqrt {\uprho } }}{2}\left( {\Omega + {\text{C}}} \right)} \right)}},$$(19)$$Q_{12}^{ \pm } \left( \Omega \right) = \frac{{2\beta_{0} \cosh \left( { \sqrt \rho \left( {\Omega + C} \right)} \right)}}{{\sqrt \rho \sinh \left( {\sqrt \rho \left( {\Omega + C} \right)} \right) - \beta_{1} \cosh \left( {\sqrt \rho \left( {\Omega + C} \right)} \right) \pm i\sqrt \rho }},$$(20)$$Q_{13}^{ \pm } \left( \Omega \right) = \frac{{2\beta_{0} sinh\left( { \sqrt \rho \left( {\Omega + C} \right)} \right)}}{{\sqrt \rho cosh\left( {\sqrt \rho \left( {\Omega + C} \right)} \right) - \beta_{1} \sinh \left( {\sqrt \rho \left( {\Omega + C} \right)} \right) \pm \sqrt \rho }},$$(21)$$Q_{14} \left( \Omega \right) = \frac{{2\beta_{0} \sinh \left( {\frac{\sqrt \rho }{4}\left( {\Omega + C} \right)} \right)\cosh \left( {\frac{\sqrt \rho }{4}\left( {\Omega + C} \right)} \right)}}{{2\sqrt \rho \cosh^{2} \left( {\frac{\sqrt \rho }{4}\left( {\Omega + C} \right)} \right) - 2\beta_{1} \sinh \left( {\frac{\sqrt \rho }{4}\sqrt \rho \left( {\Omega + C} \right)} \right)\cosh \left( {\frac{\sqrt \rho }{4}\left( {\Omega + C} \right)} \right) - \sqrt \rho }}.$$(22) -
4 For \(\rho = \beta_{1}^{2} - 4\beta_{0} \beta_{2} < 0, \beta_{1} \beta_{2} \ne 0\) or \(\beta_{0} \beta_{2} \ne 0\), the solutions of the trigonometric form are demonstrated as follows:
$$Q_{15} \left( \Omega \right) = \frac{{\sqrt { - \rho } }}{{2\beta_{2} }}\tan \left( {\frac{{\sqrt { - \rho } }}{2}\left( {\Omega + C} \right)} \right) - \frac{{\beta_{1} }}{{2\beta_{2} }},$$(23)$$Q_{16} \left( \Omega \right) = - \frac{{\sqrt { - \rho } }}{{2\beta_{2} }}\cot \left( {\frac{{\sqrt { - \rho } }}{2}\left( {\Omega + C} \right)} \right) - \frac{{\beta_{1} }}{{2\beta_{2} }},$$(24)$$Q_{17}^{ \pm } \left( \Omega \right) = \frac{{\sqrt { - \rho } }}{{2\beta_{2} }} \left( {\tan \left( {\sqrt { - \rho } \left( {\Omega + C} \right)} \right) \pm \sec \left( {\sqrt { - \rho } \left( {\Omega + C} \right)} \right)} \right) - \frac{{\beta_{1} }}{{2\beta_{2} }},$$(25)$$Q_{18}^{ \pm } \left( \Omega \right) = - \frac{{\sqrt { - \rho } }}{{2\beta_{2} }}\left( {\cot \left( {\sqrt { - \rho } \left( {\Omega + C} \right)} \right) \pm \csc \left( {\sqrt { - \rho } \left( {\Omega + C} \right)} \right)} \right) - \frac{{\beta_{1} }}{{2\beta_{2} }},$$(26)$$Q_{19} \left( \Omega \right) = \frac{{\sqrt { - \rho } }}{{4\beta_{2} }}\left( {\tan \left( {\frac{{\sqrt { - \rho } }}{2}\left( {\Omega + C} \right)} \right) - cot\left( {\frac{{\sqrt { - \rho } }}{4}\left( {\Omega + C} \right)} \right)} \right) - \frac{{\beta_{1} }}{{2\beta_{2} }},$$(27)$$Q_{20}^{ \pm } \left( \Omega \right) = \frac{{ \pm \sqrt { - \rho \left( {p^{2} - q^{2} } \right)} - p\sqrt { - \rho } \cos \left( {\sqrt { - \rho } \left( {\Omega + C} \right)} \right)}}{{2\beta_{2} \left( {psin(\sqrt { - \rho } \left( {\Omega + C} \right) + q} \right)}} - \frac{{\beta_{1} }}{{2\beta_{2} }},$$(28)$$Q_{21} \left( \Omega \right) = - \frac{{2\beta_{0} \cos \left( {\frac{{\sqrt { - \rho } }}{2}\left( {\Omega + C} \right)} \right)}}{{\sqrt { - \rho } \sin \left( {\frac{{\sqrt { - \rho } }}{2}\left( {\Omega + C} \right)} \right) + \beta_{1} \cos \left( {\frac{{\sqrt { - \rho } }}{2}\left( {\Omega + C} \right)} \right)}},$$(29)$$Q_{22} \left( \Omega \right) = \frac{{2\beta_{0} \sin \left( {\frac{{\sqrt { - \rho } }}{2}\left( {\Omega + C} \right)} \right)}}{{\sqrt { - \rho } \cos \left( {\frac{{\sqrt { - \rho } }}{2}\left( {\Omega + C} \right)} \right) - \beta_{1} \sin \left( {\frac{{\sqrt { - \rho } }}{2}\left( {\Omega + C} \right)} \right)}},$$(30)$$Q_{23}^{ \pm } \left( \Omega \right) = - \frac{{2\beta_{0} \cos \left( {\sqrt { - \rho } \left( {\Omega + C} \right)} \right) }}{{\beta_{1} cos\left( {\sqrt { - \rho } \left( {\Omega + C} \right)} \right) + \sqrt { - \rho } sin\left( {\sqrt { - \rho } \left( {\Omega + C} \right)} \right) \pm \sqrt { - \rho } }},$$(31)$$Q_{24}^{ \pm } \left( \Omega \right) = \frac{{2\beta_{0} \sin \left( {\sqrt { - \rho } \left( {\Omega + C} \right)} \right)}}{{\beta_{1} \sin \left( {\sqrt { - \rho } \left( {\Omega + C} \right)} \right) - \sqrt { - \rho } \cos \left( {\sqrt { - \rho } \left( {\Omega + C} \right)} \right) \pm \sqrt { - \rho } }},$$(32)$$Q_{25} \left( \Omega \right) = \frac{{4\beta_{0} \sin \left( {\frac{{\sqrt { - \rho } }}{4}\left( {\Omega + C} \right)} \right)\cos \left( {\frac{{\sqrt { - \rho } }}{4}\left( {\Omega + C} \right)} \right)}}{{2\sqrt { - \rho } \cos^{2} \left( {\frac{{\sqrt { - \rho } }}{4}\left( {\Omega + C} \right)} \right) - 2\beta_{1} \sin \left( {\frac{{\sqrt { - \rho } }}{4}\left( {\Omega + C} \right)} \right)\cos \left( {\frac{{\sqrt { - \rho } }}{4}\left( {\Omega + C} \right)} \right) - \sqrt { - \rho } }}.$$(33)
We substitute the Equations represented by Eq. (5 and 8) into Eq. (4), equating the coefficients of each power of \(Q^{i} \left( {\Omega } \right)\) to zero. The resulting system of algebraic equations was then solved with the help of Maple. We obtained the constants (coefficients) by solving, and we used these to solve Eq. (4) and get different kinds of solutions, as explained by Eqs. (9–33). We were to obtain a variety of exact solutions for NPDEs using this method.
2.2 Solution of the Shynaray IIA equation
In this subsection, we provide the exact solutions for the S-IIAE (1) model using IGREMM:
If \(r = \varepsilon \overline{w} \left( {\varepsilon = \pm 1} \right)\), then S-IIAE has the following form
Equation (34) can be reduced to the following ordinary differential equation (ODE) by applying the wave transformation to the given equation, where \(m, n\) and \(\varepsilon\) are constants.
Let \(v, \theta , \omega\) and \(\delta\) denote the frequency, phase constant, wave number, and velocity of the soliton respectively. By inserting Eq. (35) into the first part of the system (34) and separating the real and imaginary parts, the real part takes the following form:
Equation (36), once integrated, gives the following expression
Inserting Eq. (37) into the first part of Eq. (36) and separating the real and imaginary parts yields:
where the imaginary part is represented by
We determine \(N=1\) by applying the hbp, by balancing the highest order nonlinear term and the highest order derivative term. After substituting this determined value of N into Eq. (5), the solution is obtained in its simplified form as
3 Investigating the realms of bifurcation analysis, chaotic behavior, and sensitivity analysis in relation to the governing equation
This section delivers an in-depth exploration of bifurcation analysis, chaotic behavior, and sensitivity analysis as they apply to the governing equation.
3.1 Bifurcation analysis
In this subsection, we closely examine the parameter-driven representation via bifurcation theory. By applying the Galilean transformation to Eq. (38), we transform it into the ensuing dynamical system, setting the stage for the implementation of bifurcation concepts.
where, \({\mathfrak{R}}_{1}=\frac{\delta \epsilon {n}^{2}}{m}\) and \(\Re_{2} = \frac{{\omega \left( {1 - \delta } \right)}}{c}\). The system’s Hamiltonian, as defined in Eq. (41), is presented as follows
Here, \(\hslash\) is Hamiltonian constant. The system (41) has its equilibrium points at \(\in_{1} = \left( {0, 0} \right), \in_{2} = \left( {\frac{{\sqrt {\Re_{1} \Re_{2} } }}{{\Re_{1} }}, 0} \right), {\text{and}} \in_{2} = \left( {\frac{{ - \sqrt {\Re_{1} \Re_{2} } }}{{\Re_{1} }}, 0} \right).\) The determinant of the Jacobian matrix for system (41) is \(D\left( {U, \Phi } \right) = - 3\Re_{1} U^{2} + \Re_{2} .\) Furthermore, it is established that (U,Φ) represents a saddle point, center point, or cuspid point, corresponding to when D(U,Φ) is less than zero, greater than zero, and equal to zero, respectively. The possible results from modifying the relevant parameter are outlined below. Case 1: \({\mathfrak{R}}_{1}>0\) and \({\mathfrak{R}}_{2}>0\), Case 2: \({\mathfrak{R}}_{1}<0\) and\({\mathfrak{R}}_{2}>0\), Case 3: \({\mathfrak{R}}_{1}<0\) and \({\mathfrak{R}}_{2}<0\) and Case 4: \({\mathfrak{R}}_{1}>0\) and \({\mathfrak{R}}_{2}<0.\) When parameters align with case 1 criteria, three equilibrium points emerge (0, 0), (− 2.8983, 0), and (2.8983, 0). The point (0, 0) is a center point as shown in Fig. 1a, and the remaining are saddle points. For case 2, the sole equilibrium point at (0, 0) serves as a center, illustrated in Fig. 1b. Case 3’s adherence to specific parameters reveals three equilibrium points: (0, 0), (− 0.9165, 0), and (0.9165, 0), with (0, 0) being a saddle point and the others center points, as seen in Fig. 1c. Finally, under case 4 conditions, there’s a singular equilibrium point at (0, 0), acting as a saddle, depicted in Fig. 1d.
3.2 Chaotic analysis
In this subsection, we introduce the perturbed term into the dynamical system described by Eq. (41) to observe the chaotic trajectories it produces. The system, incorporating the perturbed term, is expressed as follows:
In the revised perturbed system (42) mentioned above, the parameters \(\vartheta\) and \(\gamma\) play crucial roles. They signify the magnitude and frequency of an external force applied to the dynamical system, respectively. We showcase both 2D and 3D phase portraits for the disturbed system. Upon examining the phase portraits, intricate and captivating patterns emerge. Observations from Figs. 2 and 3 reveal diverse dynamics. These findings highlight the system’s dynamics’ sensitivity to variations in the parameter γ, providing deep insights into the impact of the perturbed term \(\vartheta \sin \left( {\gamma t} \right)\) on the system’s overall behavior. This enhanced understanding of how the system responds to changes in parameters deepens our knowledge of the complex interplay between γ, the perturbation term, and the system’s dynamics. Such insights are invaluable, significantly enriching our understanding of how minor parameter adjustments can influence the system’s path, thereby facilitating more precise predictions of its behavior under different scenarios.
3.3 Sensitivity analysis
In this section, we demonstrate the sensitivity behavior of the dynamical system (41) using various sets of initial conditions. The system’s initial conditions are specified as follows: \(U\left( 0 \right) = 0.1,\;\Phi \left( 0 \right) = 0\), \(U\left( 0 \right) = 0,\;\Phi \left( 0 \right) = 0.1\), \(U\left( 0 \right) = 0.2,\;\Phi \left( 0 \right) = 0\), and \(U\left( 0 \right) = 0, \;\Phi \left( 0 \right) = 0.2\). The outcomes derived from this efficient approach are illustrated in Fig. 4. From examining the figures, it becomes evident that minor modifications in the initial conditions can result in significant alterations in the system’s dynamics.
4 Exact solution of the Shynaray IIA equation by IMGREMM
Substitute Eqs. (8 and 40) in Eq. (38), we obtain the following equation using Maple.
By equating the coefficients of various power of \(Q^{i} \left( \Omega \right)\) to zero, we derive a system of equations with the following forms:
By solving the above system of equations with the help of Maple, we find the following values of coefficients:
For \({\beta }_{0}={\beta }_{1}=0, {\beta }_{2}\ne 0,\) the rational solution is
For \({\beta }_{0}=0,\) the solutions in the form of exponential are
For \(\rho ={\beta }_{1}^{2}-4{\beta }_{0}{\beta }_{2}>0, {\beta }_{1}{\beta }_{2}\ne 0\) or \({\beta }_{0}{\beta }_{2}\ne 0\) where \(p\) and \(q\) are real constants, the solutions in the form of trigonometric hyperbolic are given as
\({v}_{14}\left(\text{x},\text{t}\right)=-\frac{c\epsilon {n}^{2}}{m}{\left(\pm \frac{1}{2}\frac{m{m}_{1}\sqrt{2}}{\delta \varepsilon n \sqrt{\frac{m}{\delta \varepsilon }}}\pm \frac{\sqrt{2}\sqrt{\frac{m}{\delta \varepsilon }}{m}_{2}}{n}\left(\frac{\frac{c{m}_{1}^{2}-2\omega +2\omega \delta }{{m}_{2}c}sinh\left(\frac{\sqrt{\rho }}{4}\left(\Omega +C\right)\right)cosh\left(\frac{\sqrt{\rho }}{4}\left(\Omega +C\right)\right)}{2\sqrt{\rho }{cosh}^{2}\left(\frac{\sqrt{\rho }}{4}\left(\xi +C\right)\right)-2{\beta }_{1}\mathit{sin}h\left(\frac{\sqrt{\rho }}{4}\sqrt{\rho }\left(\Omega +C\right)\right)\mathit{cos}h\left(\frac{\sqrt{\rho }}{4}\left(\Omega +C\right)\right)-\sqrt{\rho } }\right)\right)}^{2}\).
For \(\rho ={\beta }^{2}-4{\beta }_{0}{\beta }_{2}<0, {\beta }_{1}{\beta }_{2}\ne 0,\) or \(({\beta }_{0}{\beta }_{2}\ne 0)\) with \({p}^{2}-{q}^{2}>0,\) the solutions of trigonometric form are given as
5 Graphical representation
This section graphically describes the structures of the solutions derived in Sect. 3 using suitable values for the free parameters. For Figs. 5 and 6, we assigned \(\delta =2, \theta =0.5, {m}_{1}=1, \omega =0.1, {m}_{0}=1,\) and \({m}_{2}=2\) for the solutions \({w}_{2}\left(\Omega \right)\) and \({v}_{2}\left(\Omega \right)\) to obtain the dark, bright kink, and multiple soliton wave propagation in 3D and 2D at \(t=0.2\). Figure 7 presents the rogue soliton waves in 3D and 2D plots for the absolute and real parts of \({v}_{7}(\Omega )\) for \(\delta =-0.2, \theta =0.5, {m}_{1}=1, \omega =1.5, {m}_{0}=1,\) and \({m}_{2}=-2\). In Figs. 8 and 9, we set \(\delta =-2, \theta =0.5, {m}_{1}=1, \omega =2, {m}_{0}=1,\) and \({m}_{2}=2\) to obtain dark, kink, anti-kink soliton and multiple wave propagations in 3D form and 2D at \(t=0.2\) for the solutions \({w}_{9}\left(\Omega \right),\) and \({w}_{10}(\Omega ).\) The different solitary wave structures could justify that the method is robust on the considered model and will enhance the practical applications in industries and other important places. These solutions will be of high significance in all areas of applications of shynaray IIA equation such as optical communications, tsunami and tidal wave phenomena The solutions obtained in this work are more accurate, concise and more general compared to the solutions obtained using the direct algebra method (Faridi et al. 2024), the improved Sardar method (Faridi et al. 2024; Khan et al. 2024) and the Φ6-model expansion approach (Tipu et al. 2024). The employed approach in this work yields the rational function exponential solutions, different periodic function solutions, and numerous hyperbolic function solutions. Also, the graphical visualization further illustrates the breather soliton, envelope soliton, dark-wave soliton, multiple soliton, and bright-wave soliton propagations in both 2D and 3D.
6 Conclusion
In this research article, we successfully construct new exact solutions for the Shynaray-IIA equation applying IGREMM. Through the investigation, a set of exact solutions including rational, exponential, trigonometric and hyperbolic trigonometric forms are established, providing insight into the dynamics and behavior of S-IIAE. The intricate dynamics of the equation have been unveiled by employing a meticulous derivation of the associated dynamical system through the Galilean transformation, together with a careful examination of bifurcation events using planar dynamical system theory. By introducing perturbations, it became feasible to perform a comprehensive analysis of chaotic phenomena, which were clearly illustrated in phase pictures. The sensitivity analysis, conducted using the Runge–Kutta method, offered a compelling demonstration of the robustness of the solutions. Even slight modifications in initial conditions did not change this outcome. The aforementioned findings have wide significance in many different areas of applied mathematics and physics such as optical communications, tsunami and tidal wave phenomena.. Some of the obtained solutions are plotted in various dimensional graphs that show the direct analysis of solution behaviors. The suggested approach creates new opportunities for solving other complex nonlinear equations in addition to providing insights into S-IIAE. This is an interesting path for advancement in future investigations. Analytical, semi-analytical, and numerical solutions could be explored in future research on S-IIAE with the goal of revealing a variety of fascinating model outcomes. These studies could cover topics consisting of lie symmetry analysis, consistency of solutions, modulation instability, and physical viability.
Availability of data and materials
No datasets were generated or analysed during the current study.
References
Akinyemi, L.: Shallow ocean soliton and localized waves in extended (2+1)-dimensional nonlinear evolution equations. Phys. Lett. A 463, 128668 (2023)
Akinyemi, L., Houwe, A., Abbagari, S., Wazwaz, A.M., Alshehri, H.M., Osman, M.S.: Effects of the higher-order dispersion on solitary waves and modulation instability in a monomode fiber. Optik 288, 171202 (2023). https://doi.org/10.1016/j.ijleo.2023.171202
Akram, U., Seadawy, A.R., Rizvi, S.T.R., Younis, M., Althobaiti, S., Sayed, S.: Traveling wave solutions for the fractional Wazwaz–Benjamin–Bona–Mahony model in arising shallow water waves. Results Phys. 20, 103725 (2021). https://doi.org/10.1016/j.rinp.2020.103725
Ali, A., Seadawy, A.R., Lu, D.: Soliton solutions of the nonlinear Schrödinger equation with the dual power law nonlinearity and resonant nonlinear Schrödinger equation and their modulation instability analysis. Optik 145, 79–88 (2017). https://doi.org/10.1016/j.ijleo.2017.07.016
Ali, K.K., Wazwaz, A.M., Osman, M.S.: Optical soliton solutions to the generalized nonautonomous nonlinear Schrödinger equations in optical fibers via the sine-Gordon expansion method. Optik 208, 164132 (2020)
Alquran, M., Jarrah, A.: Jacobi elliptic function solutions for a two-mode KdV equation. J King Saud Univ. Sci. 31, 485–489 (2019). https://doi.org/10.1016/j.jksus.2017.06.010
Alquran, M., Jaradat, H.M., Syam, M.I.: A modified approach for a reliable study of new nonlinear equation: two-mode Korteweg-de Vries-Burgers equation. Nonlinear Dyn. 91, 1619–1626 (2018). https://doi.org/10.1007/s11071-017-3968-1
Arnous, A.H., Seadawy, A.R., Alqahtani, R.T., Biswas, A.: Optical solitons with complex Ginzburg-Landau equation by modified simple equation method. Optik 144, 475–480 (2017). https://doi.org/10.1016/j.ijleo.2017.07.013
Arshad, M., Seadawy, A.R., Lu, D.: Exact bright–dark solitary wave solutions of the higher-order cubic–quintic nonlinear Schrödinger equation and its stability. Optik 138, 40–49 (2017). https://doi.org/10.1016/j.ijleo.2017.03.005
Bhrawy, A.H., Abdelkawy, M.A., Kumar, S., Biswas, A.: Solitons and other solutions to Kadomtsev-Petviashvili equation of B-type. Rom. J. Phys. 58(7–8), 729–748 (2013)
Debnath, L., Debnath, L.: Nonlinear Partial Differential Equations for Scientists and Engineers, pp. 528–529. Birkhäuser, Boston (2005)
Dong, S., Lan, Z.Z., Gao, B., Shen, Y.: Bäcklund transformation and multi-soliton solutions for the discrete Korteweg–de Vries equation. Appl. Math. Lett. 125, 107747 (2022)
Du, S., Haq, N.U., Rahman, M.U.: Novel multiple solitons, their bifurcations and high order breathers for the novel extended Vakhnenko-Parkes equation. Results Phys. 54, 107038 (2023)
Ebadi, G., Fard, N.Y., Bhrawy, A.H., Kumar, S., Triki, H., Yildirim, A., Biswas, A.: Solitons and other solutions to the (3+ 1)-dimensional extended Kadomtsev-Petviashvili equation with power law nonlinearity. Rom. Rep. Phys 65(1), 27–62 (2013)
Faridi, W.A., Tipu, G.H., Myrzakulova, Z., et al.: Formation of optical soliton wave profiles of Shynaray-IIA equation via two improved techniques: a comparative study. Opt. Quantum. Electron. 56, 132 (2024). https://doi.org/10.1007/s11082-023-05699-4
Han, T., Zhao, L.: Bifurcation, sensitivity analysis and exact traveling wave solutions for the stochastic fractional Hirota-Maccari system. Results Phys. 47, 106349 (2023)
He, Q., Rahman, M.U., Xie, C.: Information overflows between monetary policy transparency and inflation expectations using multivariate stochastic volatility models. Appl. Math. Sci. Eng. 31(1), 2253968 (2023)
Hosseini, K., Hinçal, E., Ilie, M.: Bifurcation analysis, chaotic behaviors, sensitivity analysis, and soliton solutions of a generalized Schrödinger equation. Nonlinear Dyn. 111(18), 17455–17462 (2023)
Iqbal, M.A., Wang, Y., Miah, M.M., Osman, M.S.: Study on date–Jimbo–Kashiwara–Miwa equation with conformable derivative dependent on time parameter to find the exact dynamic wave solutions. Fractal Fract. 6(1), 4 (2021)
Jafari, H., Tajadodi, H., Baleanu, D.: Application of a homogeneous balance method to exact solutions of nonlinear fractional evolution equations. J. Comput. Nonlinear Dyn. 9(2), 021019 (2014)
Jaradat, H.M., Awawdeh, F., Al-Shara, S., Alquran, M., Momani, S.: Controllable dynamical behaviors and the analysis of fractal burgers hierarchy with the full effects of inhomogeneities of media. Rom. J. Phys. 60, 324–343 (2015)
Jaradat, H.M., Syam, M., Alquran, M.: A two-mode coupled Korteweg-de Vries: multiple-soliton solutions and other exact solutions. Nonlinear Dyn. 90, 371–377 (2017). https://doi.org/10.1007/s11071-017-3668-x
Jhangeer, A., Hussain, A., Junaid-U-Rehman, M., Baleanu, D., Riaz, M.B.: Quasi-periodic, chaotic and travelling wave structures of modified Gardner equation. Chaos Solitons Fractals 143, 110578 (2021)
Khan, M.I., Asghar, S., Sabiu, J.: Jacobi elliptic function expansion method for the improved modified kortwedge-de vries equation. Opt. Quantum Electron. 54(11), 734 (2022)
Khan, M.I., Marwat, D.N.K., Sabi’u, J., et al.: Exact solutions of Shynaray-IIA equation (S-IIAE) using the improved modified Sardar sub-equation method. Opt. Quantum Electron. 56, 459 (2024). https://doi.org/10.1007/s11082-023-06051-6
Kumar, C., Prakash, A.: Nonlinear interaction among second mode resonance waves in high-speed boundary layers using the method of multiple scales. Phys. Fluids 34(1), 014107 (2022)
Kumar, S., Kumar, A., Samet, B., Gómez-Aguilar, J.F., Osman, M.S.: A chaos study of tumor and effector cells in fractional tumor-immune model for cancer treatment. Chaos Solitons Fractals 141, 110321 (2020)
Kumar, S., Malik, S., Rezazadeh, H., Akinyemi, L.: The integrable Boussinesq equation and it’s breather, lump and soliton solutions. Nonlinear Dyn. (2022). https://doi.org/10.1007/s11071-021-07076-w
Li, Z., Hu, H.: Chaotic pattern, bifurcation, sensitivity and traveling wave solution of the coupled Kundu–Mukherjee–Naskar equation. Results Phys. 48, 106441 (2023)
Liu, X., Zhang, H., Liu, W.: The dynamic characteristics of pure-quartic solitons and soliton molecules. Appl. Math. Model. 102, 305–312 (2022)
Luo, R., Emadifar, H., ur Rahman, M.: Bifurcations, chaotic dynamics, sensitivity analysis and some novel optical solitons of the perturbed non-linear Schrödinger equation with Kerr law non-linearity. Results Phys. 54, 107133 (2023)
Mani Rajan, M.S., Saravana Veni, S., Wazwaz, A.M.: Self-steepening nature and nonlinearity management of optical solitons with the influence of generalized external potentials. Opt. Quantum Electron. 55, 703 (2023). https://doi.org/10.1007/s11082-023-04912-8
Nayyer, S.S., Wagh, S.R., Singh, N.M.: Towards a constructive framework for stabilization and control of nonlinear systems: Passivity and immersion (p &i) approach. arXiv preprint arXiv: 2208. 10539 (2022)
Osman, M.S.: One-soliton shaping and inelastic collision between double solitons in the fifth-order variable-coefficient Sawada-Kotera equation. Nonlinear Dyn. 96(2), 1491–1496 (2019)
Osman, M.S., Rezazadeh, H., Eslami, M.: Traveling wave solutions for (3+1) dimensional conformable fractional Zakharov-Kuznetsov equation with power law nonlinearity. Nonlinear Eng. 8(1), 559–567 (2019)
Rizvi, S.T.R., Ali, K., Ahmad, M.: Optical solitons for Biswas-Milovic equation by new extended auxiliary equation method. Optik 204, 164181 (2020). https://doi.org/10.1016/j.ijleo.2020.164181
Seadawy, A.R.: New exact solutions for the KdV equation with higher order nonlinearity by using the variational method. Comput.Math. Appl. 62(10), 3741–3755 (2011). https://doi.org/10.1016/j.camwa.2011.09.023
Seadawy, A.R.: Travelling-wave solutions of a weakly nonlinear two-dimensional higher-order Kadomtsev-Petviashvili dynamical equation for dispersive shallow-water waves. Eur. Phys. J. plus 132, 29 (2017). https://doi.org/10.1140/epjp/i2017-11313-4
Seadawy, A.R., El-Rashidy, K.: Traveling wave solutions for some coupled nonlinear evolution equations. Math.Comput. Model. 57(5–6), 1371–1379 (2013). https://doi.org/10.1016/j.mcm.2012.11.026
Tao, G., Sabi’u, J., Nestor, S., El-Shiekh, R.M., Akinyemi, L., Az-Zobi, E., Betchewe, G.: Dynamics of a new class of solitary wave structures in telecommunications systems via a (2+1)-dimensional nonlinear transmission line. Mod. Phys. Lett. B 36(19), 2150596 (2022)
Tipu, G.H., Faridi, W.A., Rizk, D., Myrzakulova, Z., Myrzakulov, R., Akinyemi, L.: The optical exact soliton solutions of Shynaray-IIA equation with Φ6-model expansion approach. Opt. Quantum Electron. 56(2), 226 (2024)
Wazwaz, A.-M.: Abundant solitons solutions for several forms of the fifth-order KdV equation by using the tanh method. Appl. Math. Comput. 182(1), 283–300 (2006)
Xu, C., Cui, Q., Liu, Z., Pan, Y., Cui, X., Ou, W., Rahman, M.U., Farman, M., Ahmad, S., Zeb, A.: Extended hybrid controller design of bifurcation in a delayed chemostat model. MATCH Commun. Math. Comput. Chem. 90(3), 609–648 (2023)
Younas, U., Younis, M., Seadawy, A.R., Rizvi, S.T.R., Althobaiti, S., Sayed, S.: Diverse exact solutions for modified nonlinear Schrödinger equation with conformable fractional derivative. Results Phys. 20, 103766 (2021). https://doi.org/10.1016/j.rinp.2020.103766
Zhang, C., Shi, Z.: Nonlinear wave interactions in a transitional hypersonic boundary layer. Phys. Fluids 34(11), 114106 (2022)
Zhu, X., Xia, P., He, Q., Ni, Z., Ni, L.: Coke price prediction approach based on dense GRU and opposition-based learning salp swarm algorithm. Int. J. Bio-Inspired Comput. 21(2), 106–121 (2023)
Funding
Not applicable.
Author information
Authors and Affiliations
Contributions
Muhammad Ishfaq Khan Formulated the research problem. Guided the overall mathematical approach and theoretical framework. Jamilu Sabi’u Led the analytical computations using the improved generalized Riccati equation mapping method. Ensured the mathematical rigor of the solutions. Abdullah Khan Developed and executed numerical simulations to validate theoretical predictions. Analyzed simulation data to support analytical results. Sadique Rehman Conducted sensitivity analysis to understand the robustness and reliability of soliton solutions. Assisted in the interpretation of results in the context of physical applications. Aamir Farooq Coordinated the research activities between team members. Contributed to the writing and editing of the manuscript, ensuring clarity and coherence.
Corresponding author
Ethics declarations
Conflict of interest
The authors declare no conflict of interest.
Ethics approval
Not applicable.
Additional information
Publisher's Note
Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.
Rights and permissions
Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law.
About this article
Cite this article
Khan, M.I., Sabi’u, J., Khan, A. et al. Unveiling new insights into soliton solutions and sensitivity analysis of the Shynaray-IIA equation through improved generalized Riccati equation mapping method. Opt Quant Electron 56, 1339 (2024). https://doi.org/10.1007/s11082-024-07271-0
Received:
Accepted:
Published:
DOI: https://doi.org/10.1007/s11082-024-07271-0