Research article Special Issues

Exact solutions to the fractional nonlinear phenomena in fluid dynamics via the Riccati-Bernoulli sub-ODE method

  • The Riccati-Bernoulli sub-ODE method has been used in recent research to efficiently investigate the analytical solutions of a non-linear equation widely used in fluid dynamics research. By utilizing this method, exact solutions are obtained for the space-time fractional symmetric regularized long-wave equation. These results comprehensively understand the long wave equation widely used in numerous fluid dynamics and wave propagation scenarios. The approach to studying these phenomena and using conceptual representation to understand their essential characteristics opens the door to valuable insights that may help improve both the theoretical and applied aspects of fluid dynamics and similar fields. Thus, as these complex equations demonstrate, the suggested approach is a valuable tool for conducting further research into non-linear phenomena across several disciplines.

    Citation: Waleed Hamali, Abdulah A. Alghamdi. Exact solutions to the fractional nonlinear phenomena in fluid dynamics via the Riccati-Bernoulli sub-ODE method[J]. AIMS Mathematics, 2024, 9(11): 31142-31162. doi: 10.3934/math.20241501

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  • The Riccati-Bernoulli sub-ODE method has been used in recent research to efficiently investigate the analytical solutions of a non-linear equation widely used in fluid dynamics research. By utilizing this method, exact solutions are obtained for the space-time fractional symmetric regularized long-wave equation. These results comprehensively understand the long wave equation widely used in numerous fluid dynamics and wave propagation scenarios. The approach to studying these phenomena and using conceptual representation to understand their essential characteristics opens the door to valuable insights that may help improve both the theoretical and applied aspects of fluid dynamics and similar fields. Thus, as these complex equations demonstrate, the suggested approach is a valuable tool for conducting further research into non-linear phenomena across several disciplines.



    Accurately describing natural phenomena at small scales requires using fractional-order differential equations instead of their integer-order counterparts. The need to formulate fractional ordinary differential equations (ODEs) arises in modeling genuine materials' electric and mechanical behavior and describing the geological formations' rheological type. As a result, fractional ODEs have become increasingly important and famous, representing practical tools for a wide range of scientific and engineering fields. In particular, fractional ODEs can simulate various physical phenomena realistically [1,2]. Over the past few decades, substantial academic work has focused on finding and describing closed-form solitary wave solutions for nonlinear partial differential equations of fractional type [3]. Consequently, they have been used effectively in the literature and can build exact solutions for nonlinear fractional differential equations with noticeable physical aspects. Finally, due to their frequent recurrence in various applications such as signal processing, control theory, systems identification, solid-state physics, condensed matter physics, plasma physics, optical fibers, chemical kinetics, electrical circuits, bio-genetics and fluid dynamics, among others, nonlinear fractional equations have attracted a lot of attention among researchers [4,5]. Providing closed-form wave solutions to these equations helps us understand these phenomena and find optimal ways to use them. It has been suggested by several investigators that there are various integral methods to find the soliton solution. These approaches are directed toward integer-order and fractional-order nonlinear PDEs [6,7]. Most nonlinear scientific problems are approached in various multi-methodological cases, providing different visions of the tried-and-true hierarchy of relations. These cases are associated with other computational, analytical, and experiential instruments, grounding a new vision of nonlinear matters. As mentioned above, these approaches support and encourage researchers' attempts to extend existing analyses for solution candidates.

    Modern scientific research has shown significant interest in the search for exact solutions related to fractional differential equations [9,10,11,12]. One of these equations, symmetric regularized long wave (SRLW) [13], has greatly interested many researchers over the years.

    (Ftt)+(Fxx)+Fxt(F)+FxFt+Ftt(Fxx)=0. (1.1)

    Seyler and Fenstermacher in 1984 were able to generalize the use of the SRLW equation to space-charge dynamics, long water waves, and nonlinear ion-acoustic waves [14]. Peregrine further elaborated on the significance of understanding undular bores in relation to broader wave phenomena [15]. To investigate the SRLW equation, numerous matrix and algebraic methodologies have been employed over the years: the Riemann-Hilbert scheme [16], the unified scheme [17], the Hirota bilinear form [18], and the modified simple equation methodology[19]. Furthermore, the use of ansatz methods, sub-equation method [20], the Sine-Gordon expansion method [21] and tanh-Θ/2-expansion [22] has been employed in searching for solutions of SRLW equations. Developed upon this work, our study utilizes the Riccati-Bernoulli sub-ODE method, which has not been employed in this context before. In addition, the current paper broadens the model for studying the SRLW equation to encompass fractional-order dynamics. It enriches future research directions worldwide regarding the applicability of the SRLW equation to practical fluid dynamics problems. Incorporating fractional calculus better describes the inherent memory and hereditary features inherent in modeling such systems. We also show graphical solutions that signify the relationship of the fractional order parameter to soliton dynamics to show how changes in this factor alter how waves move and the shape of solitons. The graphical representation enhances the authors' understanding of the flow of solitons in space-time fractional models. It can be useful for solving more problems related to using the SRLW equation in real-life problems, like atmospheric wave processes and weather forecasting.

    Despite the plethora of studies on this subject, none of the previous works have examined the output of the Riccati-Bernoulli sub-ODE method for the equations under discussion, or addressed the applicability of the complex Bäcklund transformation. In this regard, our study provides relevant input into the academic discourse. The present research is devoted to presenting real and intricate solutions within the framework of the Riccati-Bernoulli sub-ODE approach and contributing to the analysis of soliton behaviour, which is crucial for analyzing wave processes, including wave processes in the atmosphere. In addition, we find that shifts in solitons can be made by altering the parameters that define them [23]. This change directly affects the distance for wave propagation in atmosphere dynamics, respectively [24,25]. Further works also demonstrate this influence of varying parameters on the wave抯behavior [26,27]. Additionally, the present work provides a conceptual visualization of the effect of the fractional order parameter on solitons, a visual representation to support mathematically derived conclusions regarding the effect of fractional dynamics on the wave behaviour of solitons. This study's results should help elucidate soliton features and further their use in numerical simulation of weather and other wave phenomena [28]. Specifically, our approach has aimed at the attempt to narrow the gap between mathematics and problem-solving analyses pertinent to practical usage. This has been achieved by combining theories from scientific as well as engineering disciplines [29,30]. Other researches support relevance of this interdisciplinary link [31,32]. We contemplate the spatial-temporal fractional formulation of the SRLW equation, denoted as Eq (1.1), expressed as follows:

    D2αtt(F)+D2αxx(F)+2D2αxt(F)2+D4αxxtt(F)=0,0<α1. (1.2)

    Moreover, the operator defining α-derivatives of powers is accurately consistent with the conformable fractional derivative [33]. The conformable fractional derivative provides a physically sensible and straightforward model of non-local and memory-based processes that appear in many real-world problems, such as fluid dynamics and vibrations. Classical derivatives, however, are local operators and differentiate an input concerning a small neighborhood of the point in question. At the same time, fractional derivatives also depend on past states to determine the system's current behavior. Specifically, using the conformable derivative to capture these effects is convenient. It retains essential properties such as the chain and product rules, and has a more straightforward form to apply in physical models. In the case of soliton dynamics and wave motion, the conformable fractional derivative is more suited to describing the fractional dynamics of the soliton waveforms communicating non-locally and representing the development over time. It also recreates energy dissipation and long-range dependence in wave motion more efficiently than integer-order models. Therefore, its application in this work enhances the investigation of the fractional-order dynamics of solitons and alternative nonlinear waves in fluid and atmospheric environments. Thus, conformable fractional derivatives have quickly gained popularity in recent years. It has shown that it can provide exact solutions for conformable fractional nonlinear partial differential equations using various techniques.

    DαΘZ(Θ)=liml0Z(l(Θ)1αZ(θ))l,0<α1. (1.3)

    This investigation capitalizes on the following properties of this derivative:

    {DαΘΘm=mΘmα.DαΘ(m1η(Θ)±m2t(Θ))=m1DαΘ(η(Θ))±m2DαΘ(t(Θ)).DαΘ[fg]=Θ1αg(Θ)DαΘf(g(Θ)). (1.4)

    This suggested methodology is well suitable for solving complicated algebraic computations as revealed by the results above. The transformation makes extracting strict information about the fundamental processes that underlie such complex dynamic systems feasible; conversely, it makes these processes better known. However, this method does have its own drawbacks, as discussed below. For this method to be applied, their uses are somewhat difficult, especially when the equation or the system of equations to be solved is highly nonlinear or when large amounts of computational power will be needed. Moreover, whereas exact solutions offer a rich theoretical understanding of the problem, they lack the flexibility to accommodate genuine randomness in complex and rapidly changing contexts. Still, the techniques employed in the present work provide a solid basis for future developments in analyzing such nonlinear phenomena as fluid dynamics and wave processes. The remainder of this paper is organized as follows: Section 2 is devoted to describing the methodology involved with using the Riccati-Bernoulli sub-ODE method and Bäcklund transformation. In Section 3, brief descriptions of the mathematical formulation and the main equations used in this paper are provided. The results and discussion are given in Section 4 to examine the performance of the acquired solutions. Section 5 provides concluding remarks and suggests potential difficulties for future research.

    In this section, we delineate the procedural framework guiding our approach to resolving nonlinear fractional partial differential equations. Our methodology necessitates a strategy tailored to navigating the intricate complexities inherent in tackling these equations. The statement of the problem calls for a suitable approach that would help address the challenges involved in the nonlinear fractional partial differential equations.

    Step 1. Consider the following fractional partial differential equation (FPDE):

    G1(g,Dαt(g),Dαy1(g),Dαy2(g),gDαy1(g),)=0,0<α1, (2.1)

    g is an unknown function, (G1) is a polynomial in (y1,y2,y3,) and t, and all partial derivatives include nonlinear terms and higher-order derivatives. As such, complex wave paradigms and traveling wave transformation techniques are considered, which help to simplify the original expression into a form that can be used effectively.

    G(x,t)=g(Θ),Θ=pyα1α+qyα2α+rtαα+Θo, (2.2)

    where p,q,r,Θo are constants.

    Step 2. By means of a traveling wave transformation, Eq (2.1) is converted into the following nonlinear ODE:

    G2(g,g(Θ),g(Θ),gg(Θ),)=0. (2.3)

    Step 3. With reference to the constraints cm0 and cm0 at the same time, the presumptive solution for g(Θ) is considered, and with the Bäcklund transformation method, the solution for ϕ(Θ) is obtained.

    g(Θ)=mi=mciϕ(Θ)i. (2.4)
    ϕ(Θ)=μb+aφ(Θ)a+bφ(Θ). (2.5)

    With constants (μ), (a), and (b), suppose that b0 and introduce the function φ(Θ) given as:

    dφdΘ=μ+φ(Θ)2, (2.6)

    Reference [34], shows the post-solution of Eq (2.6) and lists the conditions under which different scenarios are observed. The value of (μ) is then used to deduce the following analyses and the solution φ(Θ) to be derived.

    (i)Ifμ<0,thenφ(Θ)=μtanh(μΘ),orφ(Θ)=μcoth(μΘ). (2.7)
    (ii)Ifμ>0,thenφ(Θ)=μtan(μΘ),orφ(Θ)=μcot(μΘ). (2.8)
    (iii)Ifμ=0,thenφ(Θ)=1Θ. (2.9)

    Step 4. The equilibrium state following a homogeneous balance and linear polymer analysis as well as rationalization with nonlinear and higher-order derivative components are determined [35].

    D[dzgdΘz]=n+z,D[gjdzgdΘz]u=nj+u(z+n). (2.10)

    Step 5. The polynomial found from (2.5) is solved using computational tools such as Maple. Finally, substitute the values of the coefficients back to Eq (2.4) to find g(Θ).

    We solved the space-time fractional SRLW according to the proposed approach in this section with the following waves transformation. Moreover, we conducted an examination of the formal solution pertaining to the specified FPDE. Within this context, the complex field envelope, denoted as F(x,t), represents a function reliant on retarded time along the axis of prorogation.

    ψ=kxααωtαα.F(x,t)=f(ψ). (3.1)

    Now, by employing the above complex wave transformation, Eq (1.2) is transformed into the following non-linear ODE:

    (k2+ω2)F2ωk(F2)+ω2k2(F)=0. (3.2)

    Upon integrating Eq (3.2) twice with respect to (ψ) and assuming the constants are zero, we obtain

    (k2+ω2)F2ωk(F2)+ω2k2(F)=0. (3.3)

    Equation (2.10) can be utilized to determine the balance equilibrium state (N=2), where the derivative term F is balanced with the highest-order nonlinear term F2. Following that, substituting Eq (2.6) with Eq (2.4) into Eq (3.3) and setting the coefficients of ϕi(ψ) to zero, we have an algebraic equation system. Using Maple, we can solve this system of algebraic equations and obtain the following results:

    Case 1.

    c0=1/12(3k2c2+3ω2c2+2ωk18c22k2ω29c22ω49c22k44ω2k216ωkc2)ω1k1c21,c1=418c22k2ω29c22ω49c22k44ω2k216ωkc2,c1=0,c2=c2,c2=0,ω=ω,k=k,μ=1/318c22k2ω29c22ω49c22k44ω2k216ωkc2ω1k1c21. (3.4)

    Case 2.

    c0=2/3ic12ω2,c1=c1,c1=0,c2=1/4iω2,c2=0,μ=4/3c12ω4,b=b,ω=ω,k=iω. (3.5)

    Case 3.

    c0=c0,c1=0,c1=0,c2=32c0(k22ωkc0+ω2)ω2k2(k2+ω24ωkc0)2,c2=0,ω=ω,k=k,μ=1/8k2+ω24ωkc0ω2k2. (3.6)

    Case 4.

    c0=c0,c1=0,c1=0,c2=1/5ωk(8k3ωc0+3ω4+3k4+6ω2k2+8ω3kc016ω2k2c02)(k2+ω24ωkc0)2,c2=364(k2+ω24ωkc0)2ω3k3,ω=ω,k=k,μ=1/8k2+ω24ωkc0ω2k2. (3.7)

    Solution Set. 1: Thus, case 1 based on Eq (1.2) has been analyzed. Further, the following specific parameters have been used. As a result, the ensuing singular solitary wave solutions could be received under the condition (μ<0), and

    c0=1/12(3k2c2+3ω2c2+2ωk18c22k2ω29c22ω49c22k44ω2k216ωkc2)ω1k1c21,
    μ=1/318c22k2ω29c22ω49c22k44ω2k216ωkc2ω1k1c21,
    F1(x,t)=c0+49c22ω49c22k418c22k2ω24ω2k216ωkc2×(μbaμtanh(μ(kxααωtαα)))(abμtanh(μ(kxααωtαα)))1+c2(μbaμtanh(μ(kxααωtαα)))2(abμtanh(μ(kxααωtαα)))2, (3.8)

    or

    F2(x,t)=c0+49c22ω49c22k418c22k2ω24ω2k216ωkc2×(μbaμcoth(μ(kxααωtαα)))(abμcoth(μ(kxααωtαα)))1+c2(μbaμcoth(μ(kxααωtαα)))2(abμcoth(μ(kxααωtαα)))2. (3.9)

    Solution Set. 2: Thus, case 1 based on Eq (1.2) has been analyzed. As a result, the ensuing singular solitary wave solutions could be received under the condition (μ>0).

    F3(x,t)=c0+49c22ω49c22k418c22k2ω24ω2k216ωkc2×(μb+aμtan(μ(kxααωtαα)))(a+bμtan(μ(kxααωtαα)))1+c2(μb+aμtan(μ(kxααωtαα)))2(a+bμtan(μ(kxααωtαα)))2, (3.10)

    or

    F4(x,t)=c0+49c22ω49c22k418c22k2ω24ω2k216ωkc2×(μbaμcot(μ(kxααωtαα)))(abμcot(μ(kxααωtαα)))1+c2(μbaμcot(μ(kxααωtαα)))2(abμcot(μ(kxααωtαα)))2. (3.11)

    Solution Set. 3: Thus, case 1 based on Eq (1.2) has been analyzed. As a result, the ensuing singular solitary wave solutions could be received under the condition (μ=0).

    F5(x,t)=c0+49c22ω49c22k418c22k2ω24ω2k216ωkc2×(μba(kxααωtαα)1)(ab(kxααωtαα)1)1+c2(μba(kxααωtαα)1)2(ab(kxααωtαα)1)2. (3.12)

    Solution Set. 4: Thus, case 2 based on Eq (1.2) has been analyzed. Further, the following specific parameters have been used. As a result, the ensuing singular solitary wave solutions could be received under the condition (μ<0).

    μ=4/3c12ω4, (3.13)
    F6(x,t)=2/3ic12ω2+c1(μbaμtanh(μ(kxααωtαα)))(abμtanh(μ(kxααωtαα)))11/4iω2(μbaμtanh(μ(kxααωtαα)))2(abμtanh(μ(kxααωtαα)))2, (3.14)

    or

    F7(x,t)=2/3ic12ω2+c1(μbaμcoth(μ(kxααωtαα)))(abμcoth(μ(kxααωtαα)))11/4iω2(μbaμcoth(μ(kxααωtαα)))2(abμcoth(μ(kxααωtαα)))2. (3.15)

    Solution Set. 5: Thus, case 2 based on Eq (1.2) has been analyzed. As a result, the ensuing singular solitary wave solutions could be received under the condition (μ>0).

    F8(x,t)=2/3ic12ω2+c1(μb+aμtan(μ(kxααωtαα)))(a+bμtan(μ(kxααωtαα)))11/4iω2(μb+aμtan(μ(kxααωtαα)))2(a+bμtan(μ(kxααωtαα)))2, (3.16)

    or

    F9(x,t)=2/3ic12ω2+c1(μbaμcot(μ(kxααωtαα)))(abμcot(μ(kxααωtαα)))11/4iω2(μbaμcot(μ(kxααωtαα)))2(abμcot(μ(kxααωtαα)))2. (3.17)

    Solution Set. 6: Thus, case 2 based on Eq (1.2) has been analyzed. As a result, the ensuing singular solitary wave solutions could be received under the condition (μ=0).

    F10(x,t)=2/3ic12ω2+c1(μba(kxααωtαα)1)(ab(kxααωtαα)1)11/4iω2(μba(kxααωtαα)1)2(ab(kxααωtαα)1)2. (3.18)

    Solution Set. 7: Thus, case 2 based on Eq (1.2) has been analyzed. Further, the following specific parameters have been used. As a result, the ensuing singular solitary wave solutions could be received under the condition (μ<0).

    μ=1/8k2+ω24ωkc0ω2k2. (3.19)
    F11(x,t)=c032c0(k22ωkc0+ω2)ω2k2(μbaμtanh(μ(kxααωtαα)))2(k2+ω24ωkc0)2(abμtanh(μ(kxααωtαα)))2, (3.20)

    or

    F12(x,t)=c032c0(k22ωkc0+ω2)ω2k2(μbaμcoth(μ(kxααωtαα)))2(k2+ω24ωkc0)2(abμcoth(μ(kxααωtαα)))2. (3.21)

    Solution Set. 8: Thus, case 2 based on Eq (1.2) has been analyzed. As a result, the ensuing singular solitary wave solutions could be received under the condition (μ>0).

    F13(x,t)=c032c0(k22ωkc0+ω2)ω2k2(μb+aμtan(μ(kxααωtαα)))2(k2+ω24ωkc0)2(a+bμtan(μ(kxααωtαα)))2, (3.22)

    or

    F14(x,t)=c032c0(k22ωkc0+ω2)ω2k2(μbaμcot(μ(kxααωtαα)))2(k2+ω24ωkc0)2(abμcot(μ(kxααωtαα)))2. (3.23)

    Solution Set. 9: Thus, case 2 based on Eq (1.2) has been analyzed. As a result, the ensuing singular solitary wave solutions could be received under the condition (μ=0).

    F15(x,t)=c032c0(k22ωkc0+ω2)ω2k2(μba(kxααωtαα)1)2(k2+ω24ωkc0)2(ab(kxααωtαα)1)2. (3.24)

    Solution Set. 10: Thus, case 2 based on Eq (1.2) has been analyzed. Further, the following specific parameters have been used. As a result, the ensuing singular solitary wave solutions could be received under the condition (μ<0), and

    c2=1/5ωk(8k3ωc0+3ω4+3k4+6ω2k2+8ω3kc016ω2k2c02)(k2+ω24ωkc0)2,
    μ=1/8k2+ω24ωkc0ω2k2,
    F16(x,t)=364(k2+ω24ωkc0)2(abμtanh(μ(kxααωtαα)))2ω3k3(μbaμtanh(μ(kxααωtαα)))2+c0+c2(μbaμtanh(μ(kxααωtαα)))2(abμtanh(μ(kxααωtαα)))2, (3.25)

    or

    F17(x,t)=364(k2+ω24ωkc0)2(abμcoth(μ(kxααωtαα)))2ω3k3(μbaμcoth(μ(kxααωtαα)))2+c0+c2(μbaμcoth(μ(kxααωtαα)))2(abμcoth(μ(kxααωtαα)))2. (3.26)

    Solution Set. 11: Thus, case 2 based on Eq (1.2) has been analyzed. As a result, the ensuing singular solitary wave solutions could be received under the condition (μ>0).

    F18(x,t)=364(k2+ω24ωkc0)2(a+bμtan(μ(kxααωtαα)))2ω3k3(μb+aμtan(μ(kxααωtαα)))2+c0+c2(μb+aμtan(μ(kxααωtαα)))2(a+bμtan(μ(kxααωtαα)))2, (3.27)

    or

    F19(x,t)=364(k2+ω24ωkc0)2(abμcot(μ(kxααωtαα)))2ω3k3(μbaμcot(μ(kxααωtαα)))2+c0+c2(μbaμcot(μ(kxααωtαα)))2(abμcot(μ(kxααωtαα)))2. (3.28)

    Solution Set. 12: Thus, case 2 based on Eq (1.2) has been analyzed. As a result, the ensuing singular solitary wave solutions could be received under the condition (μ=0).

    F20(x,t)=364(k2+ω24ωkc0)2(ab(kxααωtαα)1)2ω3k3(μba(kxααωtαα)1)2+c0+c2(μba(kxααωtαα)1)2(ab(kxααωtαα)1)2. (3.29)

    This investigation seeks to develop a new scientific method deeply rooted in a powerful framework to decompose the fractional SRLW equation. The equation, expressed in terms of fractional derivatives, is a daunting task with sophisticated techniques to be employed due to its complexity. Using Bäcklund transformation, fractional partial differential equations are transformed into ODEs that are transformation-friendly through additional methods. This enables a thorough examination of equation solutions. Additionally, the resolution of the equation system and its series solutions are provided. The solutions are decomposed via the Riccati-Bernoulli sub-ODE algorithm. Three families of solutions are obtained: hyperbolic, rational, and trigonometric. Consequently, a variety of analytical solutions, all different, are obtained that are a reflection of the several mathematical structures present in the fractional SRLW equation. In Tables 1 and 2, we emphasize on the distinctions between our technique and the traditional Sine-Gordon and modified extended tanh methods on the same model. Our method provides a wider spectrum of solutions, including trigonometric, hyperbolic, and rational, whereas the Sine-Gordon type equation only produces hyperbolic and modified tanh functions. This shows how our approach is more general than the standard approach, and thus capable of capturing a greater variety of physical situations. Furthermore, while the Sine-Gordon method studies the model in the time-fractional setup, our work broadens the examination of the model to the space-time fractional context, offering a more encompassing discussion of the model behavior.

    Table 1.  Comparison of the fractional SRLW with the alternative approach, specifically the modified extended tanh method.
    present method modified extended tanh method [13]
    Case I: η<0 F12(x,t)=c032c0(k22ωkc0+ω2)ω2k2(μbaμcoth(μ(kxααωtαα)))2(k2+ω24ωkc0)2(abμcoth(μ(kxααωtαα)))2 u(x,t)=±i(kpr)k3/22qrbcoth(b(kxααrtαα)) for b<0
    Case II: η>0 F14(x,t)=c032c0(k22ωkc0+ω2)ω2k2(μbaμcot(μ(kxααωtαα)))2(k2+ω24ωkc0)2(abμcot(μ(kxααωtαα)))2 u(x,t)=±i(kpr)k3/22qrbcot(b(kxααrtαα)) for b>0
    Case III: η=0 F5(x,t)=c0+49c22ω49c22k418c22k2ω24ω2k216ωkc2(μba(kxααωtαα)1)(ab(kxααωtαα)1)1+c2(μba(kxααωtαα)1)2(ab(kxααωtαα)1)2 For b=0, no solutions were obtained using the modified extended tanh approach for the fractional SRLW equation

     | Show Table
    DownLoad: CSV
    Table 2.  Comparison of the fractional SRLW with the alternative approach, specifically the Sine-Gordon expansion method.
    present method Sine-Gordon expansion method [21]
    Case I: η<0 F11(x,t)=c032c0(k22ωkc0+ω2)ω2k2(μbaμtanh(μ(kxααωtαα)))2(k2+ω24ωkc0)2(abμtanh(μ(kxααωtαα)))2 u1(x,t)=6a2rvq+6a2rvqitanh(a(xvtαα))sech(a(xvtαα))+6a2rvqtanh2(a(xvtαα)) for v=pra2+1
    Case II: η>0 F13(x,t)=c032c0(k22ωkc0+ω2)ω2k2(μb+aμtan(μ(kxααωtαα)))2(k2+ω24ωkc0)2(a+bμtan(μ(kxααωtαα)))2 u2(x,t)=(8ra21)v+pq+12a2rvqtanh2(a(xvtαα))
    Case III: η=0 F15(x,t)=c032c0(k22ωkc0+ω2)ω2k2(μba(kxααωtαα)1)2(k2+ω24ωkc0)2(ab(kxααωtαα)1)2 u3(x,t)=4a2rvq+6a2rvqitanh(a(xvtαα))sech(a(xvtαα))+6a2rvqtanh2(a(xvtαα)) for v=p4ra2+1

     | Show Table
    DownLoad: CSV

    The several solutions obtained in this work, including integer and fractional order solutions, present different kinds of solitary wave phenomena, as kink, anti-kink, periodic, and breather-like profiles, which have physical significances. In optical fiber communications, periodic solitons are critical because they prevent information from being distorted during transmission over long distances, and kink solitons are critical for understanding topological line solitons in particle physics and dislocations in solids. Anti-kink solitons are appropriate for developing the stone-like phenomena for further examination in condensed particle physics, particularly for cracks in nanostructures or biological tissue. The fractional-order analysis expands the research at hand by providing more precise descriptions of waves in complex physical structures where multi-scaling and time-memory interactions are important. We believe that this new approach, which differs from the earlier methods confined to integer-order models, offers fresh perspectives on soliton behavior and their possible use; this explains the novelty of our work. The comparison table and graphical solutions provided in the present study clearly reveal the specificity of these findings as compared to previous studies. Additionally, breather solitons have been crucial for nonlinear optics and oceanography, where they appear as rogue waves and produce short light pulses when they encounter a beam. Using the software environment MATLAB, we have applied meticulous adjustments of specific parameter values to accurately match the exact solutions, allowing the different periodic and single solutions to be described. As a result, the following graphical depictions provide sufficient material to make them real and comprehend the properties of solutions, hence being more capable of analyzing their dynamism.

    In Figure 1, we represent a detailed visualization of solution (F1), including its real and imaginary parts. Overall, solution (F1) has been accurately portrayed in lump-type kink and grey kink structure plots in terms of its evolution and transformation with respect to different spatial and temporal scaling. Hence, through various spatial and temporal scaling, (F1) demonstrates intricate behaviors that are not necessarily evident from simplistic graphs. This solution notably demonstrates propagation along the x-axis as time elapses, which retains its shape and amplitude. Notably, the way (F1) propagates depends on the parameter (α). It could be realized that the changes in the value of the parameter (α) have an impact over the solution (F1)'s propagation characteristics, such as wave speed and amplitude. In this relationship, one is able to appreciate the part played by fractional order with regard to the dynamics of nonlinear waves. In general, analyzing this figure contributes to gaining an understanding of real-life processes, such as fluid dynamics, soliton theory, and wave propagation.

    Figure 1.  Visualization illustrating both the real and imaginary components of solution (F1), offering a comprehensive portrayal of the system behavior and dynamics.

    In Figure 2, we simulate solution (F6) for different values of (α) using a variety of parametric configurations. (F6) for α=0.1,0.2,0.3 shows propagation along the x-axis, remaining in the same shape and amplitude during the simulation. However, the nature of propagation is different between different values of (α). For α<1, as shown, the propagation is not linear. The non-linearity is observed when considering that the propagation appears to have varying speeds and does not continue at the same constant speed. On the other hand, it presented at α=1.

    Figure 2.  Visualization illustrating both the real and imaginary components of solution (F6), offering a comprehensive portrayal of the system behavior and dynamics.

    In Figures 3 and 4 we illustrate the relationship between the real and imaginary parts of solution (F10) at different levels of granularity. By presenting kink and grey kink data, this visualization allows one to obtain a thorough understanding of the fundamental features and behavior in time of this solution at different stages and scales. Notably, the propagation of (F10) is dependent on the value of (α). This parameter determines the dynamic features of the solution and, as a result, determines the behavior of its propagation. Thus, this figure clearly shows how the dynamics of the solution (F10) depend on the value of (α) in both temporal and spatial domains. In particular, propagation characteristics of (F10) strongly depend on the value of (α). Variations in (α) reflect alterations in the overall nature of the solution, with respect to the rates involved and their magnitudes. This relationship clearly points to the centrality of fractional order in the description of wave nonlinear behaviors. The conclusions drawn from analysis of this figure are useful in interpreting the effects of parameters such as (α) for practical cases in fluid dynamics and wave propagation applications.

    Figure 3.  Visualization illustrating the real components of solution (F10), offering a comprehensive portrayal of the system behavior and dynamics.
    Figure 4.  Visualization illustrating the image components of solution (F10), offering a comprehensive portrayal of the system behavior and dynamics.

    Figure 5 displays the graph of the function (F16) for α=0.7,0.8,0.9 on a limited domain. From the observations, it can be inferred that the first pulse moves along the x-interval as it maintains both its shape and amplitude in time. However, the velocity of propagation solely depends on (α). Where α<1, the propagation accelerates initially, hence quickly traveling over a limited time. Later in time, the propagation velocity decreases, causing it to move slower. On the other hand, α=1 implies a uniform propagation velocity.

    Figure 5.  Visualizations of solution (F16), offering a detailed portrayal of system behavior across different representations and parameter variations.

    Figure 6 shows the evolution of solution (F17), which is a bright kink soliton on various (α), varying over a finite domain of independent variables. The initial pulse is displaced along the spatial axis while retaining its form and amplitude. The only influence exerted by (α) is the speed which it moves at, due to it simply being a multipler for our time variable. For α<1, the pulse waves nonlinearly, however it becomes linear for α=1.

    Figure 6.  Visualization illustrating the solution (F17), offering a comprehensive portrayal of the system behavior and dynamics.

    Here, we employed the Riccati-Bernoulli sub-ODE technique, which has been identified recently as being efficient, to investigate the solitary wave solutions of the space-time fractional SRLW equation. This led us to find new exact solutions of fractional equations in trigonometric, hyperbolic, and rational forms. These findings suggest that there are research directions that can be explored to further understand these concepts. Consequently, the solutions can be used to investigate a number of physical occupations, including flow through the channels between bubbles, interactions between gravity and capillarity in thin liquid films, weakly nonlinear ion acoustic waves, and space-charges waves. Moreover, they provide information for dimensionless fluid velocity during decay situations. As far as we are aware, there is no prior work that drew similar conclusions, which speaks to the novelty of our work. This method seems to have great prospects to obtain new solitary waves in different branches of science, and to develop techniques in obstacle, free, moving, or contact problems..

    In future work, it remains to apply the Riccati-Bernoulli Sub-ODE method to other types of nonlinear equations and explore the effects of other fractional orders of derivatives. Moreover, numerical simulations of the proposed solutions and the corresponding experimental verifications may give deeper understanding about their possibilities for use in fluid dynamics and waves propagations. Further efforts to analyze the applicability of the method to more complex systems or higher-dimensional models will also be considered in expanding this study.

    Conceptualization, W.H; Data curation, A.A.A.; Formal analysis, W.H; Resources, A.A.A; Investigation, W.H; Project administration, A.A.A; Validation, W.H.; Software, A.A.A; Validation, W.H; Visualization, A.A.A.; Validation, W.H.; Visualization, A.A.A.; Resources, W.H.; Project administration, A.A.A.; Writing–review & editing, W.H.; Funding, A.A.A. All authors have read and agreed to the published version of the manuscript.

    The authors gratefully acknowledge the funding of the Deanship of Graduate Studies and Scientific Research, Jazan University, Saudi Arabia, through Project Number: GSSRD-24.

    The authors declare that they have no conflicts of interest.



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