Volume 2025, Issue 1 2800207
Research Article
Open Access

Novel Soliton and Wave Solutions for the Dual-Perturbed Integrable Boussinesq Equation

Akhtar Hussain

Corresponding Author

Akhtar Hussain

Department of Mathematics and Statistics , The University of Lahore , Lahore , Punjab, Pakistan , uol.edu.pk

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Tarek F. Ibrahim

Tarek F. Ibrahim

Department of Mathematics , Sciences College , King Khalid University , Abha , Saudi Arabia , kku.edu.sa

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Faizah D. Alanazi

Faizah D. Alanazi

Department of Mathematics , College of Science , Northern Border University , Arar , Saudi Arabia , nbu.edu.sa

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Waleed M. Osman

Waleed M. Osman

Department of Mathematics , Applied College at Dhahran Al Janoub , King Khalid University , Abha , 62529 , Saudi Arabia , kku.edu.sa

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Arafa A. Dawood

Arafa A. Dawood

Department of Human Resources Management , College of Business , King Khalid University , Abha , Saudi Arabia , kku.edu.sa

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Jorge Herrera

Jorge Herrera

Facultad de Ciencias Naturales e Ingenieria , Universidad de Bogota Jorge Tadeo Lozano , Bogota , 110311 , Colombia

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First published: 30 May 2025
Academic Editor: Xianggui Guo

Abstract

Nonlinear science represents a foundational frontier in scientific inquiry that explores the shared characteristics inherent in nonlinear phenomena. This study focused on the perturbed Boussinesq (PB) equation incorporating dual perturbation terms. Soliton solutions were deduced by leveraging the traveling wave hypothesis. Furthermore, by employing the generalized Jacobi elliptic expansion function (JEEF) method and the improved tan (Λ/2) method, diverse nonlinear wave solutions, including kink, dark, periodic, bright, singular, periodic waves, bell-shaped solitons, solitary waves, shock waves, and kink-shaped soliton solutions, were acquired. The establishment of constraint relations is detailed to delineate the criteria for the existence of these wave solutions. Notably, these solutions are innovative and present novel contributions that have not yet been documented in the literature. In addition, 2D and 3D graphics were constructed to visually elucidate the physical behavior inherent to these newly acquired exact solutions.

1. Introduction

The exploration of exact solutions to nonlinear evolution equations (NEEs) is of fundamental importance in understanding nonlinear phenomena [13]. NEEs are extensively applied across various scientific disciplines such as chemical diffusion dynamics [4, 5], fluid mechanics [68], ion acoustics [9, 10], solid-state mechanics [11, 12], nonlinear vibrations [13, 14], and atmospheric physics [1517]. Among these equations, the Boussinesq equation serves as a prominent model for shallow water waves [1820], and it can be reduced to the Korteweg-de Vries (abbreviated as KdV) equation [21]. Several other NEEs, including the Kawahara equation, Peregrine equation, modified KdV equation, and Benjamin–Bona–Mahoney (BBM) equation, also describe such wave phenomena. This study focuses on investigating the perturbed Boussinesq (PB) equation with power law nonlinearity.

The study of the PB equation is the central focus of this paper. Several methodologies exist for integrating NEEs, including the improved tan (Λ/2) method [22, 23], the generalized Jacobi elliptic expansion function (JEEF) method [2426], the modified simple equation method [27], the F-expansion methods [28, 29], the auxiliary differential equation method [30, 31], and the Ansatz function method [32]. In this study, the initial approach involves employing the generalized JEEF method, specifically the traveling wave approach, to derive the solitary wave solution for the PB equation. Moreover, the improved tan (Λ/2) method will be employed to extract additional analytical solutions.

The generalized JEEF method [2426] and the improved tan(Λ/2) method [22, 23] offer significant advantages in terms of effectiveness and versatility when compared with many traditional solution techniques used for NEEs. Unlike classical methods such as the inverse scattering transform, Hirota’s bilinear method, or the sine-cosine method, which may be restricted to specific integrable models or yield only limited types of solutions (e.g., solitary or periodic), the methods employed in this study are capable of generating a broader spectrum of exact solutions, including singular, kink-shaped, and hybrid elliptic waveforms. The generalized JEEF method systematically constructs solutions by leveraging the properties of Jacobi elliptic functions and allows for flexible balancing of nonlinear and dispersive effects. Similarly, the improved tan(Λ/2) method enhances traditional expansion techniques by incorporating a richer functional form, enabling the derivation of new classes of solutions under more general conditions. Together, these methods provide a more robust analytical framework that can handle higher-order perturbations and power-law nonlinearities effectively, which are often challenging for standard approaches. This makes them particularly suitable for exploring complex wave dynamics in perturbed nonlinear systems.

This article focuses on the integration of the PB equation, which arises in various physical phenomena such as long water waves, acoustic waves, quantum mechanics, nonlinear optics, and plasma waves using two contemporary techniques: the generalized JEEF method and the improved tan (Λ/2) method. These methods offer distinct advantages, enabling the construction of a wide range of solutions including dark, kink, periodic, singular, bright, periodic waves, solitary waves, bell-shaped solitons, shock waves, and kink-shaped solitons.

The organization of the manuscript is as follows: Section 2 establishes the theoretical framework for traveling wave solutions. In Section 3, the generalized JEEF method is formulated, and its implementation is demonstrated on the PB equation characterized by power-law nonlinearity. Section 4 presents a concise exposition of the improved tan(Λ/2) method and applies it to the same class of equations. Section 5 offers a physical interpretation of the derived wave solutions. Lastly, Section 6 provides concluding remarks and outlines potential directions for future research.

2. Proposed Framework of Traveling Waves

The strong PB equation is expressed as follows [33, 34].
()
In the dual-perturbed PB equation (1), y(x, t) denotes the wave profile, characterizing the evolution of wave motion over space and time. The term ytt represents temporal acceleration, capturing the inertial response of the system, while yxx corresponds to linear wave propagation, reflecting the natural dispersion of small-amplitude waves. The nonlinear term introduces power-law nonlinearity, which governs nonlinear wave steepening and distortion, with the exponent 2m indicating the strength of nonlinearity. The term yxxxx models fourth-order spatial dispersion, accounting for higher-order linear dispersive effects that become significant in long-wavelength regimes. In addition, the parameter ω serves as the dissipation coefficient, representing the influence of energy loss due to internal friction or viscosity. The coefficient ρ is associated with a higher-order stabilization term, which provides regularization to the equation by damping high-frequency oscillations and enhancing the stability and physical realism of the model. Employing the assumption of a traveling wave, with Q(θ) satisfying equation (1) and defined by
()
the transformed equation becomes
()
Simplifying (3) yields the expression
()
Multiplying equation (4) by Q, performing a third integration with the constant set to zero again, results in
()
Upon solving for Q and employing separation of variables, equation (5) transforms into
()
Solution to equation (6) follows Q(θ) and then using the variable θ = xνt yields the solution for PB equation (1) as
()
This expression can be reformulated as
()
expressible as amplitude G of the solitary wave
()
and
()
As expressed
()
it is imperative that
()
The condition
()
indicates
()
In addition, it is assumed that
()
ensuring the existence of the solitary waves for equation (1). Taking m = 1, equations (4) and (5) convert to
()
Multiplying equation (16) by Q, performing a third integration with the constant set to zero again, results in
()
Solving equation (17) for Q(θ) and substituting θ = xνt yields the actual traveling wave solution
()

3. Generalized JEEF Method

The generalized JEEF method [2426] is an analytical technique developed to construct exact solutions of nonlinear partial differential equations (PDEs), particularly those modeling wave phenomena. Originating as an extension of the classical elliptic function methods, the generalized JEEF method utilizes Jacobi elliptic functions as a functional basis to systematically generate exact solutions, including solitons, periodic waves, and other nonlinear structures. Over time, this method has been effectively applied to a wide range of NEEs arising in fluid dynamics, nonlinear optics, plasma physics, and mathematical biology. Its flexibility in handling both integrable and nonintegrable systems makes it especially suitable for analyzing complex wave equations such as the PB equation. In this section, we employ the generalized JEEF method to derive exact solutions of the dual-PB equation with power-law nonlinearity. This section deals with the fundamental steps intrinsic to applying the generalized JEEF method.
  • Step 1: we consider a nonlinear PDE-expressed explicitly in terms of the dependent variable

    ()

  • Step 2: we find a transformation that includes both scaling and translation, represented by

    ()

  • Here, the parameter μ denotes the wave speed, and for stationary solutions, μ = 0. Equation (19) preserves its invariance under the transformation equation (20), which serves as a necessary condition for the existence of waveform solutions. The application of transformation equation (20) results in

    ()

  • This ordinary differential equation (ODE) (21) facilitates the classification of solitary and soliton waves for the PDE (19).

  • Step 3: now, we propose the ansatz solution of ODE (21) in the following form:

    ()

  • where the parameters βq (where q = 1, 2, …, M) can be determined, and the function Q(θ) must satisfy the relation

    ()

  • where a1, a2, and a3 are the parameters for elliptic equation (23). The specific values for these parameters are detailed in Table 1.

  • Step 4: following this, the balance principle is employed to ascertain the value of M.

  • Step 5: we solve (the system) Qq = 0 for all values of q generating a set of parameters. The balance principle is a fundamental step in many analytical methods for solving nonlinear PDEs, including the generalized JEEF method and the improved tan(Λ/2) method. It is used to determine the appropriate form or degree of the solution Ansatz by balancing the highest-order linear derivative terms with the highest-order nonlinear terms in the governing equation. This ensures that all significant terms are properly accounted for in the solution structure and helps avoid underfitting or overfitting the solution space. By equating the degrees (or orders) of the dominant terms, the balance principle guides the construction of a consistent and solvable Ansatz, serving as a crucial preparatory step before applying the full solution technique.

Elliptic functions exhibit trigonometric characteristics for ϑ⟼0, while Table 2 illustrates hyperbolic functions as ϑ⟼1.

Table 1. Types of solutions of equation (23).
No. a1 a2 a3 Q(θ)
1 1 −(1 + ϑ2) 2ϑ2 sn(θ)
2 ϑ2(1 − ϑ2) 2ϑ2 − 1 2 ds(θ)
3 1 − ϑ2 2 − ϑ2 2 cs(θ)
4 1 − ϑ2 2ϑ2 − 1 −2ϑ2 cn(θ)
5 ϑ2 − 1 2 − ϑ2 −2 dn(θ)
6 1/4 (ϑ2 − 2)/2 ϑ2/2 (sn(θ))/(1 ± dn(θ))
7 ϑ2/4 (ϑ2 − 2)/2 ϑ2/2 (sn(θ))/(1 ± dn(θ))
8 (ϑ2 + 1)/2 (−1)/2 ϑcn(θ) ± dn(θ)
9 (ϑ2 − 1)/4 (ϑ2 + 1)/2 (ϑ2 − 1)/2 (dn(θ))/(1 ± sn(θ))
10 (1 − ϑ2)/4 (1 − ϑ2)/2 (1 − ϑ2)/2 (cn(θ))/(1 ± sn(θ))
11 1/4 (sn(θ))/(dn(θ) ± cn(θ))
12 0 0 2
13 0 1 0
Table 2. When ϑ⟼1.
No. a1 a2 a3 Q(θ)
1 1 −2 2 tanh(θ)
2 0 1 2 csch(θ)
3 0 1 2 csch(θ)
4 0 1 −2 sech(θ)
5 0 1 −2 sech(θ)
6 1/4 (−1)/2 1/2 (tanh(θ))/(1 ± sech(θ))
7 1/4 (−1)/2 1/2 (tanh(θ))/(1 ± sech(θ))
8 0 1 (−1)/2 sech(θ) ± sech(θ)
9 0 1 0 (sech(θ))/(1 ± tanh(θ))
10 0 0 0 (sech(θ))/(1 ± tanh(θ))
11 1/4 0 0 (tanh(θ))/(sech(θ) ± sech(θ))
12 0 0 2
13 0 1 0

3.1. Solutions to the PB Equation

By employing the balancing principle on the differential equation (16), it is determined that M is equal to 2. Subsequently, for M = 2, the solution (22) takes the following form:
()
Proceeding with the fifth step of the previously outlined algorithm, we derive
()
Hence, equation (24) undergoes transformation to
()

Equation (26) yields a varied set of solutions for the PB equation (1), accomplished by adjusting the parameters as specified in Table 1.

Group 1: for the parameter values a1 = 1, a2 = −(1 + ϑ2),  and a3 = 2ϑ2.

In this scenario, we select Q(θ) = sn(θ, ϑ) to derive periodic waves for equation (26).
()
and when ϑ⟼0, equation (27) reduces to a solution representing a shock wave
()
Utilizing equation (20), the results for the PB equation (1) is formulated as
()

Group 2: for the parameter values a1 = −ϑ2(1 − ϑ2), a2 = 2ϑ2 − 1,  and a3 = 2.

In this case, we adopt Q(θ) = ds(θ, ϑ) to derive periodic wave solutions for equation (26).
()
Equation (30) simplifies to ϑ⟼1 in the context
()
Utilizing equation (20), the results for the PB equation (1) is formulated as
()

Group 3: for the parameter values a1 = 1 − ϑ2, a2 = 2 − ϑ2,  and a3 = 2.

In this particular scenario, the choice of Q(θ) = cs(θ, ϑ) is made to derive periodic waves for equation (26).
()
This expression simplifies to ϑ⟼1 in the context
()
Utilizing (20), the results for the PB equation (1) is formulated as
()
A similar procedure is followed for ϑ⟼1.
()

Group 4: for the parameter values a1 = 1 − ϑ2, a2 = 2ϑ2 − 1,  and a3 = −2ϑ2.

In this specific scenario, we select Q(θ) = cn(θ, ϑ) to derive periodic waves for equation (26).
()
This expression simplifies to ϑ⟼1 in the context
()
Utilizing equation (20), the results for the PB equation (1) is formulated as
()

Group 5: for the parameter values a1 = ϑ2 − 1, a2 = 2 − ϑ2, a3 = −2.

In this specific context, the selection is made for Q(θ) = dn(θ, ϑ) to derive periodic wave solutions for equation (26)
()
This expression simplifies to ϑ⟼1 in the context
()
Utilizing equation (20), the results for the PB equation (1) is formulated as
()

Group 6: for the parameter values a1 = (1/4), a2 = ((ϑ2 − 2)/2), a3 = (ϑ2/2).

In this particular case, we consider Q(θ) = (sn(θ, ϑ))/(1 ± dn(θ, ϑ)) to derive periodic waves for equation (26).
()
This expression degenerates to ϑ⟼1 in the context
()
Utilizing equation (20), the results for the PB equation (1) is formulated as
()

Group 7: for the parameter values a1 = (ϑ2/4), a2 = ((ϑ2 − 2)/2),  and a3 = (ϑ2/2).

In this specific instance, we choose Q(θ) = (sn(θ, ϑ))/(1 ± dn(θ, ϑ)) to derive periodic wave solutions for equation (26)
()
This expression simplifies to ϑ⟼1 in the context
()
Utilizing equation (20), the results for the PB equation (1) is formulated as
()

Group 8: for the parameter values

In this particular case, we consider Q(θ) = ϑcn(θ, ϑ) ± dn(θ, ϑ) to derive periodic wave solutions for equation (26).
()
This expression simplifies to ϑ⟼1 in the context
()
Utilizing equation (20), the results for the PB equation (1) is formulated as
()

Group 9: for the parameter values a1 = ((ϑ2 − 1)/4), a2 = ((ϑ2 + 1)/2), a3 = ((ϑ2 − 1)/2).

In this particular scenario, the selection is made for Q(θ) = (dn(θ, ϑ))/(1 ± sn(θ, ϑ)) to derive double periodic wave solutions for equation (26).
()
This expression simplifies to ϑ⟼1 in the context
()
Utilizing equation (20), the results for the PB equation (1) is formulated as
()

Group 10: for the parameter values a1 = ((1 − ϑ2)/4), a2 = ((1 − ϑ2)/2),  and a3 = ((1 − ϑ2)/2).

In this specific instance, we consider Q(θ) = (cn(θ, ϑ))/(1 ± sn(θ, ϑ)) to derive double periodic wave solutions for equation (26).
()
This expression simplifies to ϑ⟼1 in the context
()
Utilizing equation (20), the results for the PB equation (1) is formulated as
()

Group 11: for the parameter values

In this particular case, we opt for Q(θ) = (sn(θ, ϑ))/(dn(θ, ϑ) ± cn(θ, ϑ)) to derive double periodic wave solutions for equation (26).
()
This expression simplifies to ϑ⟼1 in the context
()
Utilizing equation (20), the results for the PB equation (1) is formulated as
()

Group 12: for the parameter values a1 = 0, a2 = 0,  and a3 = 2.

In this instance, we choose to derive rational solutions of equation (26).
()
Utilizing equation (20), the results for the PB equation (1) is formulated as
()

Group 13: for the parameter values a1 = 0, a2 = 1, a3 = 0.

For this scenario, we consider to derive solutions based on exponential functions for equation (26).
()
Utilizing equation (20), the results for the PB equation (1) is formulated as
()
where, in the aforementioned subcases, represents a constant.

4. Improved tan(Λ(θ)/2) Method

The improved tan(Λ/2) method is a powerful analytical technique developed to obtain exact traveling wave solutions of nonlinear PDEs. As an enhancement of the original tanh-type methods, this approach introduces a more generalized transformation framework that enables the handling of a broader class of nonlinearities and complex perturbations. Since its introduction, the method has been successfully applied to various NEEs, including the KdV equation, modified Boussinesq-type equations, and other models in fluid dynamics, nonlinear optics, and plasma physics. Its ability to yield exact soliton, periodic, and kink-type solutions with relative computational simplicity makes it particularly valuable in exploring nonlinear wave dynamics. In this section, the improved tan(Λ/2) method is employed to construct exact solutions of the dual-PB equation with power-law nonlinearity.
  • Step 1: consider a nonlinear PDE-expressed explicitly in terms of the dependent variable

    ()

  • Step 2: seek a transformation

    ()

  • Here, the parameter μ denotes the wave speed, and for stationary solutions, μ = 0. Using transformation equation (66), one can get

    ()

  • This ODE (67) facilitates the classification of solitary and solitons for the PDE (65).

  • Step 3: now, we propose the ansatz solution of the ODE (67) in the following form:

    ()

  • where ci(0 ≤ iM) and di(1 ≤ iM) are the constants to be evaluated later. The function Λ = Λ(θ) satisfies the ODE

    ()

  • Following are some special solutions of equation (69).

    • Case 1: for and δ2δ3 ≠ 0,

      ()

    • Case 2: for and δ2δ3 ≠ 0,

      ()

    • Case 3: for , δ2 ≠ 0 and δ3 = 0,

      ()

    • Case 4: for , δ3 ≠ 0 and δ2 = 0,

      ()

    • Case 5: for , δ2δ3 ≠ 0 and δ1 = 0,

      ()

    • Case 6: for δ1 = 0 and δ3 = 0,

      ()

    • Case 7: for δ2 = 0 and δ3 = 0,

      ()

    • Case 8: for ,

      ()

    • Case 9: for δ1 = δ2 = δ3 = ic0,

      ()

    • Case 10: for δ1 = δ3 = ic0 and δ2 = −ic0,

      ()

    • Case 11: for δ3 = δ1,

      ()

    • Case 12: for δ1 = δ3,

      ()

    • Case 13: for δ3 = −δ1,

      ()

    • Case 14: for δ2 = −δ3,

      ()

    • Case 15: for δ2 = 0,  δ1 = δ3,

      ()

    • Case 16: for δ1 = 0 and δ2 = δ3,

      ()

    • Case 17: for δ1 = 0 and δ2 = −δ3,

      ()

    • Case 18: for δ1 = 0 and δ2 = 0,

      ()

    • where δ1, δ2, δ3, and ci, di(i = 1, 2, …, M) are to be valued.

  • Step 4: then, the balancing principle is used to identify M.

  • Step 5: we solve the system Qq = 0 for all q values and yields a set of parameters.

4.1. Implementation of the Method for the PB Equation (1)

For the balancing number M = 2, the proposed solution derived from equation (68) is as follows:
()
Substituting the expression from equation (88) into the differential equation (16), the left-hand side of the resultant equation involves polynomials in tan(Λ(θ)/2). This gives rise to the following system:
()
()
The subsequent outcomes are derived through the utilization of Maple software.
  • Set 1: δ1 = (1/2)d1(δ2 + δ3)/d2, δ2 = δ2, δ3 = δ3, , c1 = 0, c2 = 0, d1 = d1, d2 = d2, k = k, r = r, ρ = ρ, , .

    ()

  • where δ1, δ2, and δ3 represent arbitrary constants, and θ = xνt. Employing (91) in conjunction with Families 1 − 18 yields

    ()
    ()
    ()
    ()
    ()
    ()
    ()
    ()
    ()
    ()
    ()
    ()
    ()
    ()
    ()
    ()
    ()
    ()

  • Set 2: δ1 = 0, δ2 = δ2, δ3 = δ3, k = k, r = r, ρ = ρ, c0 = (2/3)(c2(δ2 + δ3))/(δ2δ3), c1 = 0, c2 = c2, d1 = 0, , , .

    ()

  • where δ1, δ2, and δ3 represent arbitrary constants, and θ = xνt. Employing equation (110) in conjunction with Families 1 − 18 yields

    ()
    ()
    ()
    ()
    ()
    ()
    ()
    ()
    ()
    ()
    ()
    ()
    ()
    ()
    ()
    ()
    ()
    ()

5. Physical Interpretations of the Solutions

This section presents graphical illustrations of selected solutions derived through the improved tan (Λ/2) method, encompassing traveling wave solutions characterized by rational, trigonometric, exponential, and hyperbolic functions. These visualizations offer valuable insights into the dynamic behavior described by the original equation (1), thereby contributing to the understanding of soliton propagation in relevant physical contexts. A rich assortment of soliton solutions, shock waves 1, periodic wave solutions 2-5, kink, periodic, dark, bright, and singular solitons, has been observed by appropriately adjusting the free parameters. Moreover, employing the generalized JEEF method yielded a diverse range of solutions, including periodic wave solutions and soliton solutions. The graphical representations show various traveling waveforms, such as periodic waves, solitary waves, bell-shaped solitons, and shock waves, with specific emphasis on kink-shaped solitons. The shallow water-wave characteristics inherent in these solutions are demonstrated in Figures 1, 2, 3, 4, and 5.

Details are in the caption following the image
Shock-wave nature of shallow water waves by the solution y1(x, t) by the appropriate choice of parameters. (a) 3D plot and (b) 2D plot.
Details are in the caption following the image
Shock-wave nature of shallow water waves by the solution y1(x, t) by the appropriate choice of parameters. (a) 3D plot and (b) 2D plot.
Details are in the caption following the image
Periodic wave nature of shallow water waves by the solution y2(x, t) by the appropriate choice of parameters. (a) 3D plot and (b) 2D plot.
Details are in the caption following the image
Periodic wave nature of shallow water waves by the solution y2(x, t) by the appropriate choice of parameters. (a) 3D plot and (b) 2D plot.
Details are in the caption following the image
Periodic wave nature of shallow water waves by the solution y3(x, t) by the appropriate choice of parameters. (a) 3D plot and (b) 2D plot.
Details are in the caption following the image
Periodic wave nature of shallow water waves by the solution y3(x, t) by the appropriate choice of parameters. (a) 3D plot and (b) 2D plot.
Details are in the caption following the image
Periodic wave nature of shallow water waves by the solution y5(x, t) by the appropriate choice of parameters. (a) 3D plot and (b) 2D plot.
Details are in the caption following the image
Periodic wave nature of shallow water waves by the solution y5(x, t) by the appropriate choice of parameters. (a) 3D plot and (b) 2D plot.
Details are in the caption following the image
Periodic wave nature of shallow water waves by the solution y11(x, t) by the appropriate choice of parameters. (a) 3D plot and (b) 2D plot.
Details are in the caption following the image
Periodic wave nature of shallow water waves by the solution y11(x, t) by the appropriate choice of parameters. (a) 3D plot and (b) 2D plot.

6. Discussion and the Conclusions

The systematic resolution of the nonlinear equation (23) remains elusive. Nevertheless, the adoption of an ansatz featuring three arbitrary parameters—a1, a2, and a3—proves judicious owing to the ensuing solution expressible in terms of specialized functions. In particular, the functions of the generalized JEEF method are more general to nonlinear, such as domains, and converge to well-known expressions such as sech θ and tanh θ under specific limiting conditions, characterizing phenomena such as solitary and shock wave propagation. The determination of the constant βq in equation (22) is dependent on the intrinsic characteristics of the differential equations. Different solution classes, delineated by the values of a1, a2, and a3, are expounded upon in Cases 1–13.

In this investigation, the incorporation of Jacobi elliptic functions has proven instrumental in deducing solutions for the PB equation, yielding both periodic wave and multiple soliton solutions. The obtained results encompass a diverse array of novel traveling waveforms, including periodic waves, solitary waves, bell-shaped solitons, and shock waves, which are denoted as kink-shaped solitons.

The improved tan (Λ/2) method has emerged as a notably fruitful and significant as it possesses a diverse array of soliton solutions. Noteworthy among these are dark, bright, singular, demonstrated visually soliton solutions for the PB equation (1), as visually demonstrated. Thus, this method was facilitated through the utilization of Maple software. Importantly, our application of the improved tan (Λ/2) method to this model represents a novel contribution to the field. The soliton solutions elucidated for this work’s PB equation (1) are unprecedented in the existing literature. Consequently, these findings underscore the efficacy of both the generalized JEEF and the improved tan (Λ/2) method as valuable tools for analytically investigating a wide spectrum of nonlinear PDEs, spanning mathematical physics, optical fibers, and engineering disciplines. Moreover, these methodologies hold promise for applications across diverse fields such as mathematical biology and physics, offering novel solutions that deepen our understanding of dynamic frameworks associated with optical phenomena and other physical phenomena. In future, the authors are interested to use machine learning techniques [3537] to deal with the same model.

Conflicts of Interest

The authors declare no conflicts of interest.

Funding

The authors extend their appreciation to the Deanship of Research and Graduate Studies at King Khalid University for funding this work through a large research project under grant number RGP2/55/46. The authors extend their appreciation to the Deanship of Scientific Research at Northern Border University, Arar, KSA for funding this research work through the project number “NBU-FFR-2025-1102-08.”

Data Availability Statement

The data that support the findings of this study are available on request from the corresponding author. The data are not publicly available due to privacy or ethical restrictions.

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