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Further characteristics for certain newly formed solutions for two significant mathematical models by utilization of an efficient semi-analytic method  Cover

Further characteristics for certain newly formed solutions for two significant mathematical models by utilization of an efficient semi-analytic method

Open Access
|Jun 2026

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1
Introduction

Partial differential equations (PDEs) play a central role in the modeling and simulation of diverse physical systems. Recent advancements in nonlinear science have led to the development of multidimensional and fractional-order PDEs to address more complex phenomena. Two such significant models are the (3+1)-dimensional Korteweg-de Vries (KdV)-type equation and the (2+1)-dimensional time-fractional HM system incorporating a beta derivative. These equations have seen growing attention due to their relevance in fluid dynamics, nonlinear optics, and plasma physics. Nonlinear dynamical structures have a significant role in mathematical physics. Recent developments in physics, including astronomy, computation science, fluid mechanics, statistical physics, physiological physics, and medical physics, often describe the underlying principles investigated by other scientific disciplines and propose new routes of inquiry in academic fields such as mathematics. Environment, scientific difficulties, and a majority of life and complex processes are clarified and developed by fractional wave models. Hirota in 1973 presented Hirota’s equation, and he got several forms of solitaire solutions [1]. Maccari then enhanced the Hirota equation towards two dimensions of space. The Kadomtsev-Petviashvili equation’s Lax pairing was examined using the elimination approach. By demonstrating the corresponding Lax pair, the integrability characteristic of the equation that followed was established. This newly generated equation, known as HM system, was introduced by Maccari in 1998. The presence of the associated Lax pair confirms that the HM framework is an integrable PDE [2 ]. The complex time-fractional HM system with β−derivative in (2+1)-dimensions is given by 1 iuβ(x,y,t)t+i3u(x,y,t)x3+2u(x,y,t)xyi|u(x,y,t)|2u(x,y,t)x+u(x,y,t)v(x,y,t)=0,3v(x,y,t)x+|u(x,y,t)|2y=0, wherei=1.& i \frac{\partial u^{\beta}(x,y,t)}{\partial t}+ i \frac{\partial ^3u(x,y,t)}{\partial x^3}+\frac{\partial ^2u(x,y,t)}{\partial x\, \partial y} -i |u(x,y,t)|^2 \frac{\partial u(x,y,t)}{\partial x}+ u(x,y,t) v(x,y,t) =0,\\ & 3 \frac{\partial v(x,y,t)}{\partial x}+\frac{\partial |u(x,y,t)|^2}{\partial y}=0, \, \text{where} \, ~ i=\sqrt{-1} \cdot

This setup (1) illustrates the dynamic characteristics of the ultra-fast soliton pulses in fibers with a single mode. The dependent variables are represented by the functions u = u(x, y,t) and v = v(x, y,t), where u and v are complex and real coordinate fields. The independent location’s variables consist of the variables x and y. The temporal variable is represented by the symbol t. When the value of y is equal to x, and β = 1, the time fractional HM system (1) transforms and becomes the (1+1)-dimensional Hirota equation: iu(x,t)t+i3u(x,t)x3+2u(x,t)xx13|u(x,t)|2u(x,t)i|u(x,t)|2u(x,t)x=0.i \frac{\partial u(x, t)}{\partial t}+ i \frac{\partial ^3u(x, t)}{\partial x^3}+\frac{\partial ^2u(x, t)}{\partial x\, \partial x} -\frac{1}{3} |u(x, t)|^2 u(x, t) - i |u(x, t)|^2 \frac{\partial u(x, t)}{\partial x}=0 \cdot

Researching the HM system seeking to achieve accurate and analytic solutions became intriguing work for many scholars all over the globe. Many various sorts of strategies have been developed to show the concepts linked to the trigonometric and hyperbolic trigonometric functions [3], the trial equation approach has been implemented to generate solitary waves [4], the Kadomtsev-Petviashvili-hierarchy reduction method [5], the sin−cos , He’s semi-inverse, and Riccati-Bernoulli sub-ODE approaches [6], the method of planar dynamics system [7], the improved tanh scheme, and auxiliary equation approach [8], the Jacobi elliptic function expansion approach [9, 10], the new version of the modified Kudryashov’s, and the auxiliary equation techniques [11], simple ansatz technique [12], the Nucci’s reduction method applied to the (2+1)-dimensional Korteweg-de Vries equation [13], the Bilinear form and N-soliton solutions with higher-order breather solutions [14], the improved sub-equation method [15], the sine-Gordon expansion method [16], the (G′/G²)-expansion method and the generalized (G′/G)-expansion method similar in reasoning to the M-fractional sub-equation methods applied to the same HM model [17], Bernoulli sub-equation function method applied to the Caudrey-Dodd-GibbonSawada-Kotera model [18], and so many existing references therein. Korteweg-de Vries-type equation in (3+1)- dimensions has the following structure: 2x(β1ux+β2uy+β3uz)+x(3uxxx+ut+6uux)+β42utt=0.\frac{\partial }{\partial x}\left(\beta _1 \frac{\partial u}{\partial x}+\beta _2 \frac{\partial u}{\partial y}+\beta _3 \frac{\partial u}{\partial z}\right) + \frac{\partial }{\partial x}\left(\frac{\partial ^3u}{\partial xxx}+\frac{\partial u}{\partial t}+6 u \frac{\partial u}{\partial x}\right) +\beta _4 \frac{\partial ^2u}{\partial t t}=0.

The above statements clarify the central function of the analytic and semi-analytic methods in solving mathematics, physical, and engineering models. So after different methods with many improvement forms have been devoted to mentioning, the ((GG+G+A)$(\frac{G'}{G'+G+A})$) technique, and the modified rational sin−cos approach [19], the exp(−Φ(Ξ)) expansion method and addendum to Kudryashov’s method [20], the improved exponential rational function method, the improved version of Bernoulli and the modified arrangements of the hyperbolic trigonometric function methods [21], the Homotopy analysis method and symbolic computation [22], the modified Sardar subequation function approach [23], the well-known asymptotic perturbation method [24], the improved version of Bernoulli sub-equation function method [25], the natural transform decomposition technique [26], the space-time generalized finite difference scheme [27], the energy balance approach with new mapping method [28], the Lie symmetry analysis [29], the modified semi-separation of variables methods [30], the use of the residual power series approach [31], the methods that used the hyperbolic trigonometric functions [32].

The u(ξ ) = u(x, y,z,t) is a scalar field representing wave motion, and βi for i = 1,··· ,4 are parameters accounting for directional dispersion and nonlinear effects. The studied model is used to investigate the evolution of nonlinear long waves in channels and coastal regions. Additionally, it describes ion-acoustic waves in magnetized plasma and is pertinent in fiber optics, where multidimensional effects cannot be overlooked. Different forms of equation (2) have been studied with some semi-analytically methods such as the Hirota bi-linear transformation and Riemann theta function [33], the Lie symmetry reductions Kudryashov’s method based on ansatz, Noether’s theorem relating symmetries to conservation [34], the Hirota method, through the binary Bell polynomial technique, has been utilized to explore N-soliton, breather, and periodic-wave solutions, along with their asymptotic properties [35]. The development of exact and approximate solution methods for nonlinear evolution equations and fractional differential equations has been one of the most active areas in applied mathematics and theoretical physics over the past two decades. In the realm of fractal calculus, use the method of separation of variables for finding the analytical solution, and the Grünwald-Letnikov approximation to dynamic characteristics of the fractional optimal control problem is defined in terms of the left and right Riemann-Liouville fractional derivatives [36]. A heat transfer problem defined by the Caputo-Fabrizio derivative [37] has been addressed in an axially symmetric cylindrical region where Laplace and finite Hankel integral transforms were applied, Özdemir [38] uses the generalized projective Riccati equations method (GPREM) to extract dark soliton and trigonometric traveling wave solutions of the fractional (4+1)-dimensional Fokas equation with the M-truncated derivative. Complementing these analytical approaches, a foundational result in the mathematical theory of physical systems is presented in [39], where exact structural properties were investigated using established analytical methods within the framework of mathematical physics. More recently, Wang et al. [40] introduced the novel fractional sub-equation neural network method, merging the expressive power of deep learning with fractional calculus to derive exact solutions of space-time fractional PDEs, marking a significant step toward data-driven mathematical physics. At the interface of machine learning and exact solution theory, Zhang and Bilige [41] proposed the bilinear neural network method-utilizing neural network tensor formulas after Hirota bilinearization to obtain a broad class of exact solutions for nonlinear PDEs including fractal soliton waves, while authors in [42] investigated the third-order nonlinear (2+1)-dimensional Novikov-Veselov system with constant coefficients using an appropriate traveling-wave transformation. They employed two reliable and powerful methods the extended rational sin−cos technique and the modified exponential rational function method, using the Generalized-Kudryashov-Auxiliary-Jacobian method [43]. Finally, the results reported in [44] contribute additional exact analytical solutions in contemporary nonlinear physics, further enriching the landscape of solution methods available for physically relevant equations.

This work is organized as follows: Section 1 is designed specifically for summarizing the literature relevant to the techniques and the examined model through a brief outline. In Section 2, some fundamental concepts connected to the beta-derivative operator are reflected. The methodology of the offered technique is detailed in Section 3. The formalism of the proposed approach for finding specific semi-analytic solutions to Eq.(1) is explained in Section 4. Section 5 bridges the gap between the pure mathematics of the solutions and their realworld physical interpretation where outcomes are discussed. Finally, in Section 6, the results of the research are reported.

2
Preliminaries

The recently presented derivatives possess several attributes that were previously regarded as limits of fractional derivatives and are used to represent certain physical phenomena. Although these derivatives may not be commonly recognized as fractional derivatives, they may be seen as an appropriate extension of the traditional derivative. The β-derivative is formally defined as:

Definition 1.

Let H : [ δ,∞) → ℝ be a known function, then, the β;−operator is represented as follows [45]: 30ADxβ(H)=limΞ0H(x+Ξ(x+1Γ[β])1β)H(x)Ξ,x>δ,β(0,1],_0^A D_x^\beta \left(H\right) =\lim_{\Xi \rightarrow 0} \frac{H\left( x+ \Xi \left( x+ \frac{1}{\Gamma[\beta]}\right)^{1-\beta}\right) -H(x)}{\Xi}, \, \forall \, x>\delta, \, \beta \in ( 0, 1 ], if the limit of the above exists, it is said to be β−differentiable.

Here are some impressive belongings for the above characterization where assume K(x) ≠ 0.

  • (i)

    0ADxβ(HoK(x))=K(x)0ADxβH(K(x))._0^A D_x^\beta \left( H o K (x) \right)= K(x)\, _0^A D_x^\beta \, H \left( K (x) \right).

  • (ii)

    0ADxβ(γH(x)+αK(x))=γ0ADxβH(x)+α0ADxβK(x), for any constants γ,α._0^A D_x^\beta \left( \gamma H(x) + \alpha K(x) \right)= \gamma \, _0^A D_x^\beta \, H(x) + \alpha\, _0^A D_x^\beta \, K(x), \, \text{for any constants}\, \gamma,\, \alpha .

  • (iii)

    0ADxβ(σ)=0,for any constantσ._0^A D_x^\beta \left( \sigma \right)= 0, \, \text{for any constant}\, \sigma .

  • (iv)

    0ADxβ(H(x)K(x))=H(x)0ADxβ(K(x))+K(x)0ADxβ(H(x))._0^A D_x^\beta \left( H(x) K(x) \right)= H(x)\, _0^A D_x^\beta \left(K(x) \right) + K(x)\, _0^A D_x^\beta \left( H(x) \right)

  • (v)

    0ADxβ(H(x)K(x))=H(x)0ADxβ(K(x))K(x)0ADxβ(H(x))K2(x)._0^A D_x^\beta \left( \frac{H(x)}{K(x)} \right)= \frac{H(x)\, _0^A D_x^\beta \left(K(x) \right)- K(x) _0^A D_x^\beta \left(H(x) \right)}{K^2 (x)}.

  • (vi)

    0ADxβ(H(x))=dH(x)dx(x+1Γ[β])1β._0^A D_x^\beta \left(H(x)\right)= \frac{d H(x)}{dx} \left( x + \frac{1}{\Gamma[\beta]}\right)^{1-\beta} .

3
General properties of the scheme

Here is the structure of the implemented method where the first operation is considered as follows:

Step 1. We are examining the following general forms of nonlinear β-differentiable temporal-fractional:

4P(0ADtβE,E,Ex,Ey,Et,Ext,Exx,Eyt,Qx,Qy,Qt,)=0,P\left(_0^A D_t^\beta E, E, E_{x}, E_{y}, E_{t}, E_{xt}, E_{xx}, E_{yt}, Q_{x}, Q_{y}, Q_{t}, \cdots \right) = 0,

where both of E, Q , defined as follows:

5E(x,y,t)=U(ξ)exp(iκξ),Q(x,y,t)=V(ξ),ξ=γ1x+γ2yγ3β(t+1Γ[β])β,& E(x, y, t) = U(\xi ) \exp (i \kappa \xi ) , \, Q(x, y, t)= V(\xi ), \\ & \xi = \gamma _1 x + \gamma _2 y - \frac{\gamma _3}{\beta} \left(t + \frac{1}{\Gamma[\beta]}\right)^{\beta },

and the next PDE: 6P(E,Ex,Ey,Ez,Et,Ext,Exx,Eyt,)=0,P\left( E, E_{x}, E_{y}, E_{z}, E_{t}, E_{xt}, E_{xx}, E_{yt}, \cdots \right) = 0, forE=E(x,y,z,t)$ E = E(x, y, z, t) $ 7ξ=γ1x+γ2y+γ3zγ4t, \xi = \gamma _1 x + \gamma _2 y + \gamma _3 z - \gamma_4 t, where γ1, γ2, γ3, andγ4, are arbitrary non-zero parameters. Upon substituting equations (5) - (7) into equation (4) and (6) respectively, the resulting expression is as follows: 8N(V,V,V,U,U,U,)=0,N \left(V, V', V'', U, U', U'', \cdots \right) = 0, and 9N(V,V,V,)=0,N \left(V, V', V'', \cdots \right) = 0, wherein V=V(L),V=dVdL,V=d2VdL2,,$$ V = V(L), \, V' = \frac{d V}{d L}, \, V'' = \frac{d^2 V}{d L ^2}, \cdots ,$$ and U=U(L),U=dUdL,U=d2UdL2,.$$ U = U(L), \, U' = \frac{d U}{d L}, \, U'' = \frac{d^2 U}{d L ^2}, \cdots .$$

Step 2. Let us consider that the solution of (8) or (9) might be communicated with the following arrangement:

10U(L)=ω0+ω1T+ω2T2++ωnTNv0+v1T+v2T2++vmTM.U(L) = \frac{\omega_{0} + \omega_{1}T + \omega_{2}T^2 + \cdots + \omega_{n}T^N}{ \nu_{0} + \nu_{1}T + \nu_{2}T^2 + \cdots + \nu_{m}T^M} \cdot

Here, must be both ωm, νn ≠ 0, and they should be considered later. Also, T(L) satisfies:

11T=T2T.T' = T ^2-T.

By combining equation (10) with equation (11) and inserting in equation (8), the following result is obtained:

12Φ(T(L))=εsT(L)s++ε1T(L)+ε0=0.\Phi(T(L)) = \varepsilon _{s}T(L)^s + \cdots + \varepsilon _{1}T(L) + \varepsilon _{0} = 0.

Utilizing the concepts of balance, one can come up with a formula for n, and M by comparing the highest-order derivatives with the terms of the highest degree in equation (8).

Step 3. When the parameters of Φ(T(L)) were set to zero, the obtained algebraic equations was produced the next system: 13 εi=0,i=0,,s.\varepsilon _{i} = 0,\ i = 0,\cdots,s.

The values of α, ϖ, ω0,··· ,ωm, ν0,··· ,νn, and so solutions of (8) are realized if one learns how to decode (11). These matters are obtained by solving the system (13)

Step 4. The commanded solutions for equation (11) have the following manners: 14T(L)=1δeL+1,0δ.T(L) =\frac{1}{\delta e^{L }+1}, \, ~ 0\neq \delta \in \mathbb{R}.

4
Outcomes of the specified method

Let us propose that equation (1) indeed has a solution that can be expressed in the following manner: 15u=U(ξ)exp(iκξ),v=V(ξ),ξ=γ1x+γ2yγ3β(t+1Γ[β])β.}& u = U(\xi ) \exp (i \kappa \xi ) ,\\ & v = V(\xi ), \\ & \xi = \gamma _1 x + \gamma _2 y - \frac{\gamma _3}{\beta} \left(t + \frac{1}{\Gamma[\beta]}\right)^{\beta }.

By directly applying the wave transformation formula (15) to equation (1), one can immediately obtain the following outcomes: 16iγ13U(3)(ξ)3γ13κU(ξ)+γ2γ1U(ξ)3γ13κ2U(ξ)+2iγ2γ1κU(ξ)iγ1U(ξ)2U(ξ)iγ3U(ξ)+γ13κ3U(ξ)γ2γ1κ2U(ξ)+γ1κU(ξ)3+γ3κU(ξ)+U(ξ)V(ξ)=0,2γ2U(ξ)U(ξ)+3γ1V(ξ)=0.& i \gamma _1^3 U^{(3)}(\xi )-3 \gamma _1^3 \kappa U''(\xi )+\gamma _2 \gamma _1 U''(\xi )-3 \gamma _1^3 \kappa ^2 U'(\xi )+2 i \gamma _2 \gamma _1 \kappa U'(\xi ) -i \gamma _1 U(\xi )^2 U'(\xi )\\ &-i \gamma _3 U'(\xi )+\gamma _1^3 \kappa ^3 U(\xi )-\gamma _2 \gamma _1 \kappa ^2 U(\xi )+\gamma _1 \kappa U(\xi )^3+\gamma _3 \kappa U(\xi )+U(\xi ) V(\xi )=0,\\ & 2 \gamma _2 U(\xi ) U'(\xi )+3 \gamma _1 V'(\xi )=0 .

The second expression in equation (16) leads us to a compelling conclusion: 17V(ξ)=γ23γ1U2(ξ). V(\xi )=-\frac{\gamma _2 }{3 \gamma _1}U^2 (\xi ), by substituting equation (17) into the first part of equation (16) and then simplifying mathematically, the imaginary and real components can be separated as follows: 18(γ1κγ23γ1)U3+(γ1γ23γ13κ)U+(γ13κ3γ2γ1κ2+γ3κ)U=0,\left(\gamma _1 \kappa -\frac{\gamma _2}{3 \gamma _1}\right) U^3 + \left(\gamma _1 \gamma _2-3 \gamma _1^3 \kappa \right) U''+ \left(\gamma _1^3 \kappa ^3 -\gamma _2 \gamma _1 \kappa ^2+\gamma _3 \kappa \right) U=0, and 19γ13U(3)+(3γ13κ2+2γ2γ1κγ3)Uγ1U2U=0.\gamma _1^3 U^{(3)}+\left(-3 \gamma _1^3 \kappa ^2+2 \gamma _2 \gamma _1 \kappa -\gamma _3\right) U'-\gamma _1 U^2 U'=0.

Take the integration of (19), the result is 20γ13U+(3γ13κ2+2γ2γ1κγ3)U13γ1U3=0.\gamma _1^3 U'' + \left(-3 \gamma _1^3 \kappa ^2+2 \gamma _2 \gamma _1 \kappa -\gamma _3\right) U -\frac{1}{3} \gamma _1 U^3 =0.

From (20) it is possible to find out U3 , after turning it back into (18), the following restricted equation will be obtained. 21(2γ12κγ2)(4γ13κ22γ2γ1κ+γ3)=0.\left(2 \gamma _1^2 \kappa -\gamma _2\right) \left(4 \gamma _1^3 \kappa ^2-2 \gamma _2 \gamma _1 \kappa +\gamma _3\right)=0 \cdot

Remark 1. The restricted condition (21) is a fixed equation that must be included in the set of algebraic equations for every case.

4.1
Implementations of IGKhM to Hirota-Maccari model

Considering the balancing principles of the nonlinear terms in equation (18) we can obtain a formula for N and M as follows: 22N=M+1. N = M + 1.

The equation (22) generates consequential illustrations for the positive integers that already exist.

Case 1. In equation (22), if M = 1 and N = 2, so equation (10) becomes: 23U(η)=ω0+ω1T+ω2T2v0+v1T,U(\eta)= \frac{\omega_{0} + \omega_{1}T + \omega_{2}T^{2} }{ \nu_{0} + \nu_{1}T }, where equation (11) is considered, hence, 24T=(T2T)(2ω2T+ω1v1T+v0v1(ω2T2+ω1T+ω0)(v1T+v0)2)=Ψ(T)Ω(T,T' = \left(T ^2-T \right) \left(\frac{2 \omega_2 T +\omega_1}{\nu_1 T + \nu_0}-\frac{\nu_1 \left(\omega_2 T^2 +\omega_1 T + \omega_0\right)}{\left(\nu_1 T + \nu_0\right)^2}\right) = \frac{\Psi(T)}{\Omega(T}, notice that there should be at least ω2 ≠ 0,ν1 ≠ 0, one can reach this: 25T=Ω(T)Ψ(T)Ψ(T)Ω(T)(Ω(T))2.T'' = \frac{ \Omega(T) \Psi^{'}(T) - \Psi(T) \Omega^{'}(T) }{(\Omega (T))^{2}}.

By substituting equations (23)-(25) into equation (18), we obtain the following algebraic system of equations by setting all coefficients of the same powers of Ti to zero for i = 0,1,2,··· ,7.

26eq1=0,,eq8=0.eq1=0, \cdots , eq8=0 \cdot

The following sub-cases are decisively established through the solution of the system outlined in equation (26).

Case 1.1 Here is a list of the parameters that were obtained: 27γ2=ω2ω23+126v13γ332v12,ω1=2ω0ω22,γ1=ω26v1,κ=ω232+66v13γ3ω23/2,v0=2ω0v1ω2.\gamma _2=\frac{\sqrt{\omega_2} \sqrt{\omega_2^3+12 \sqrt{6} \nu_1^3 \gamma _3}}{3 \sqrt{2} \nu_1^2},\omega_1=-2 \omega_0-\frac{\omega_2}{2},\gamma _1=\frac{\omega_2}{\sqrt{6} \nu_1}, \kappa =\frac{\sqrt{\frac{\omega_2^3}{2}+6 \sqrt{6} \nu_1^3 \gamma _3}}{\omega_2^{3/2}},\nu_0=-\frac{2 \omega_0 \nu_1}{\omega_2}.

From the equation (27), the next solution is attained: 28u1,1=ω2𝒜exp(iω232+66v13γ36ω23/2)2v1(2δexp(6ω2v1x+2ω2yω23+126v13γ36v12γ3(1Γ(β)+t)ββ)+11),u_{1,1} = \frac{\omega_2 \mathscr{A}\exp \left(\frac{i \sqrt{\frac{\omega_2^3}{2}+6 \sqrt{6} \nu_1^3 \gamma _3} }{6 \omega_2^{3/2}}\right)}{2 \nu_1} \left(\frac{2}{\delta \exp \left(\frac{\sqrt{6} \omega_2 \nu_1 x+\sqrt{2}\sqrt{\omega_2} y \sqrt{\omega_2^3+12 \sqrt{6} \nu_1^3 \gamma _3}}{6 \nu_1^2}-\frac{\gamma _3 \left(\frac{1}{\Gamma (\beta )}+t\right)^{\beta }} {\beta }\right)+1}-1\right), where A=6ω2v1x+2ω2yω23+126v13γ3v126γ3(1Γ(β)+t)ββ.$$ \mathscr{A}=\frac{\sqrt{6} \omega_2 \nu_1 x+\sqrt{2} \sqrt{\omega_2} y \sqrt{\omega_2^3+12 \sqrt{6} \nu_1^3 \gamma _3}}{\nu_1^2}-\frac{6 \gamma _3 \left(\frac{1}{\Gamma (\beta )}+t\right)^{\beta }}{\beta }.$$

Profile of (28) where δ=32,ω1=45,β=23,v2=53,γ3=34,t=52$\delta = {3 \over 2},{\omega _1} = {4 \over 5},\beta = {2 \over 3},{v_2} = {5 \over 3},{\gamma _3} = {3 \over 4},t = {5 \over 2}$ and 5x5,5y5$ -5 \le x \le 5, \, -5\le y \le 5 $ are graphed below :

Case 1.2 Then following coefficients are obtained: 29γ1=γ22κ,γ3=γ23/2(12κ2)42κ3/2,ω0=3v0γ22κ,ω1=ω223v0γ2κ,v1=ω2κ3γ2, \gamma _1=-\frac{\sqrt{\gamma _2}}{\sqrt{2} \sqrt{\kappa }},\gamma _3=\frac{\gamma _2^{3/2} \left(1-2 \kappa ^2\right)}{4 \sqrt{2} \kappa ^{3/2}}, \omega_0=\frac{\sqrt{3} \nu_0 \sqrt{\gamma _2}}{2 \sqrt{\kappa }}, \omega_1=-\frac{\omega_2}{2}-\frac{\sqrt{3} \nu_0 \sqrt{\gamma _2}}{\sqrt{\kappa }},\nu_1=-\frac{\omega_2 \sqrt{\kappa }}{\sqrt{3} \sqrt{\gamma _2}}, with the referenced values in equation (29), the following solution has been acquired: 30u1,2=3γ2exp(iγ2(2γ2(2κ21)(1Γ(β)+t)β42βκx+8βγ2κ3/2y)8βκ)(12δexp(L)+1)2κ,u_{1,2}&=\frac{\sqrt{3} \sqrt{\gamma _2} \exp \left(\frac{i \sqrt{\gamma _2} \left(\sqrt{2} \gamma _2 \left(2 \kappa ^2-1\right) \left(\frac{1}{\Gamma (\beta )} +t\right)^{\beta }-4 \sqrt{2} \beta \kappa x+8 \beta \sqrt{\gamma _2} \kappa ^{3/2} y\right)}{8 \beta \sqrt{\kappa }}\right) \left(1-\frac{2}{\delta \exp \left( L \right)+1}\right)}{2 \sqrt{\kappa }}, where L=γ23/2(2κ21)(1Γ(β)+t)β42βκ3/2γ2x2κ+γ2y.$$L= \frac{\gamma _2^{3/2} \left(2 \kappa ^2-1\right) \left(\frac{1}{\Gamma (\beta )}+t\right)^{\beta }}{4 \sqrt{2} \beta \kappa ^{3/2}} -\frac{\sqrt{\gamma _2} x}{\sqrt{2} \sqrt{\kappa }}+\gamma _2 y .$$

Case 1.3 We will get the following coefficients: 31γ1=ω26v1,γ2=iω222v12,γ3=ω2336v13,ω0=0,ω1=12ω2(2v0v11),κ=i.\gamma _1=-\frac{\omega_2}{\sqrt{6} \nu_1},\gamma _2=-\frac{i \omega_2^2}{2 \nu_1^2}, \gamma _3=\frac{\omega_2^3}{3 \sqrt{6} \nu_1^3},\omega_0=0, \omega_1=\frac{1}{2} \omega_2 \left(\frac{2 \nu_0}{\nu_1}-1\right), \kappa =-i, utilizing (31), one derives the corresponding outcome.

32u1,3=ω22v0δ+2(v0+v1)exp(6ω23(1Γ(β)+t)β+3ω2βv1(6v1x+3iω2y)18βv13)+ω2v1(δ+exp(6ω23(1Γ(β)+t)β+3ω2βv1(6v1x+3iω2y)18βv13)).u_{1,3}&= -\frac{\omega_2}{2 \nu_0 \delta +2 \left(\nu_0+\nu_1\right) \exp \left(\frac{\sqrt{6} \omega_2^3 \left(\frac{1}{\Gamma (\beta )}+t\right)^{\beta }+3 \omega_2 \beta \nu_1 \left(\sqrt{6} \nu_1 x+3 i \omega_2 y\right)}{18 \beta \nu_1^3}\right)}\\ & +\frac{\omega_2}{\nu_1 \left(\delta +\exp \left(\frac{\sqrt{6} \omega_2^3 \left(\frac{1}{\Gamma (\beta )}+t\right)^{\beta }+3 \omega_2 \beta \nu_1 \left(\sqrt{6} \nu_1 x+3 i \omega_2 y\right)}{18 \beta \nu_1^3}\right)\right)}.

Graphs of (32) where δ=15,v0=12,v1=34,β=78,ω2=45,γ3=74,t=52$ \delta =\frac{1}{5}, \nu_0=\frac{1}{2}, \nu_1=\frac{3}{4}, \beta =\frac{7}{8}, \omega_2=\frac{4}{5}, \gamma _3=\frac{7}{4}, t=\frac{5}{2}, $ , and 20x20,20y20$ -20 \le x \le 20, \, -20\le y \le 20 $ are presented below

Case 2. If M = 2 in equation (22), then N = 3, so (10) is appearing with the given form: 33U(η)=ω0+ω1T+ω2T2+ω3T3v0+v1T+v2T2,U(\eta) =\frac{\omega_{0} + \omega_{1}T + \omega_{2}T^{2} + \omega_{3}T^{3}}{\nu_{0} + \nu_{1}T+ \nu_{2}T^{2} }, where equation (11) is considered, thereafter: 34U=(T2T)(3ω3T2+2ω2T+ω1v2T2+v1T+v0(ω3T3+ω2T2+ω1T+ω0)(2v2T+v1)(v2T2+v1T+v0)2),U' &= \left(T^2-T \right) \left(\frac{3 \omega_3 T ^2+2 \omega_2 T +\omega_1}{\nu_2 T^2+\nu_1 T +\nu_0}-\frac{\left(\omega_3 T ^3+\omega_2 T^2+\omega1 T +\omega_0\right) \left(2 \nu_2 T +\nu_1\right)}{\left(\nu_2 T^2 +\nu_1 T +\nu_0\right)^2}\right), there should be ω3 ≠ 0, ν2 ≠ 0, one can find this: 35U=Ω(T)Ψ(T)Ψ(T)Ω(T)(Ω(T))2.U'' = \frac{ \Omega(T) \Psi' (T) - \Psi(T) \Omega' (T) }{(\Omega (T))^2}\cdot

By appointing equations (33)-(35) into equation (18), we acquire an algebraic system of equations involving coefficients of equation (18). Henceforth, we will try to equate the coefficients of the same powers of Ti for i = 0,1,2,··· ,10, to zero, aiming to obtain the following algebraic system: 36eq1=0,,eq11=0.eq1=0, \cdots, eq11=0.

The following sub-cases have been generated using computer software programs to solve (36).

Case 2.1. We can get the following parameters: 37γ1=ω36v2,γ2=ω32κ3v22,γ3=ω33(12κ2)126v23,ω0=ω3v02v2,ω1=14(ω3(4v0v21)2ω2),v1=12(2ω2ω3+1)v2,& \gamma _1=-\frac{\omega_3}{\sqrt{6} \nu_2},\gamma _2=\frac{\omega_3^2 \kappa }{3 \nu_2^2},\gamma _3=\frac{\omega_3^3 \left(1-2 \kappa ^2\right)}{12 \sqrt{6} \nu_2^3}, \omega_0=-\frac{\omega_3 \nu_0}{2 \nu_2},\\ & \omega_1=\frac{1}{4} \left(\omega_3 \left(\frac{4 \nu_0}{\nu_2}-1\right)-2 \omega_2\right),\nu_1=\frac{1}{2} \left(\frac{2 \omega_2}{\omega_3}+1\right) \nu_2, from (37), one generates the following result: 38u2,1=ω3exp(iω3κ72v23)(2δexp(ω372v23)+11)2v2,u_{2,1}= \frac{\omega_3 \exp \left(\frac{i \omega_3 \kappa }{72 \nu_2^3} \mathscr{B}\right) \left(\frac{2}{\delta \exp \left(\frac{\omega_3 }{72 \nu_2^3} \mathscr{B} \right)+1}-1\right)}{2 \nu_2}, where =24ω3v2κy+6ω32(2κ21)(1Γ(β)+t)ββ126v22x.$$\mathscr{B}=24 \omega_3 \nu_2 \kappa y+\frac{\sqrt{6} \omega_3^2 \left(2 \kappa ^2-1\right) \left(\frac{1}{\Gamma (\beta )}+t\right)^{\beta }}{\beta }-12 \sqrt{6} \nu_2^2 x.$$

Case 2.2.. One obtain the subsequent coefficients: 39γ1=ω36v2,γ2=iω322v22,γ3=ω3336v23,ω0=0;ω2=12ω3(2v1v21),v0=14(2v1v2),κ=i,\gamma _1=\frac{\omega_3}{\sqrt{6} \nu_2},\gamma _2=-\frac{i \omega_3^2}{2 \nu_2^2},\gamma _3=-\frac{\omega_3^3}{3 \sqrt{6} \nu_2^3},\omega_0=0;\omega_2=\frac{1}{2} \omega_3 \left(\frac{2 \nu_1}{\nu_2}-1\right), \nu_0=\frac{1}{4} \left(-2 \nu_1-\nu_2\right),\kappa =-i,

The solution is as follows when the parameters stated in the equation (39) are implemented.

40u2,2=e(a3(2b1b21)2(eδ+1)2+a1eδ+1+a3(eδ+1)3)b1eδ+1+b2(eδ+1)2+14(2b1b2),u_{2,2}= \frac{e^\mathscr{B} \left(\frac{a_3 \left(\frac{2 b_1}{b_2}-1\right)}{2 \left(e^\mathscr{B} \delta +1\right)^2}+\frac{a_1}{e^\mathscr{B} \delta +1}+\frac{a_3} {\left(e^\mathscr{B} \delta +1\right)^3}\right)}{\frac{b_1}{e^\mathscr{B} \delta +1}+\frac{b_2}{\left(e^\mathscr{B} \delta +1\right)^2}+\frac{1}{4} \left(-2 b_1-b_2\right)},

where =a33(1Γ(β)+t)β36βb23+a3x6b2ia32y2b22.$$\mathscr{B}= \frac{a_3^3 \left(\frac{1}{\Gamma (\beta )}+t\right)^{\beta }}{3 \sqrt{6} \beta b_2^3}+\frac{a_3 x}{\sqrt{6} b_2}-\frac{i a_3^2 y}{2 b_2^2}.$$

Dynamical behavior of (40) where δ=14,v1=352,β=34,ω2=67,γ3=34,t=12$ \delta =\frac{1}{4}, \nu_1=\frac{35}{2}, \beta =\frac{3}{4}, \omega_2=\frac{6}{7}, \gamma _3=\frac{3}{4}, t=\frac{1}{2}, $, and 10x10,10y10$ -10\le x \le 10, \, -10\le y \le 10 $ are graphed below:

Case 2.3. One gets the following coefficients: 41γ1=ω36v2,γ2=ω32κ2v22,γ3=ω33κ236v23,v1=(2ω2+ω3)v22ω3,\gamma _1=\frac{\omega_3}{\sqrt{6} \nu_2},\gamma _2=\frac{\omega_3^2 \kappa }{2 \nu_2^2},\gamma _3=\frac{\omega_3^3 \kappa ^2}{3 \sqrt{6} \nu_2^3}, \nu_1=\frac{\left(2 \omega_2+\omega_3\right) \nu_2}{2 \omega_3}, the solution that follows will be derived from the parameters that have been identified in equation (41): 42u2,3=2ω3exp(iω3κ(3βv2(3ω3κy+6v2x)6ω32κ2(1Γ(β)+t)β)18βv23)v2((2ω2+ω3)δexp(3ω3βv2(3ω3κy+6v2x)6ω33κ2(1Γ(β)+t)β18βv23)+2ω2+3ω3)(δexp(3ω3βv2(3ω3κy+6v2x)6ω33κ2(1Γ(β)+t)β18βv23)+1)2+2ω3v0,u_{2,3} = \frac{2 \omega_3 \mathscr{Z} \exp \left(\frac{i \omega_3 \kappa \left(3 \beta \nu_2 \left(3 \omega_3 \kappa y+\sqrt{6} \nu_2 x\right)-\sqrt{6} \omega_3^2 \kappa ^2 \left(\frac{1}{\Gamma (\beta )}+t\right)^{\beta }\right)}{18 \beta \nu_2^3}\right)}{\frac{\nu_2 \left(\left(2 \omega_2+\omega_3\right) \delta \exp \left(\frac{3 \omega_3 \beta \nu_2 \left(3 \omega_3 \kappa y+\sqrt{6} \nu_2 x\right)-\sqrt{6} \omega_3^3 \kappa ^2 \left(\frac{1}{\Gamma (\beta )} +t\right)^{\beta }}{18 \beta \nu_2^3}\right)+2 \omega_2+3 \omega_3\right)}{\left(\delta \exp \left(\frac{3 \omega_3 \beta \nu_2 \left(3 \omega_3 \kappa y +\sqrt{6} \nu_2 x\right)-\sqrt{6} \omega_3^3 \kappa ^2 \left(\frac{1}{\Gamma (\beta )}+t\right)^{\beta }}{18 \beta \nu_2^3}\right)+1\right)^2}+2 \omega_3 \nu_0}, where Z=ω0+ω1(δexp(3ω3βv2(3ω3κy+6v2x)6ω33κ2(1Γ(β)+t)β18βv23)+1)2+ω3(δexp(3ω3βv2(3ω3κy+6v2x)6ω33κ2(1Γ(β)+t)β18βv23)+1)3+ω2+(δexp(3ω3βv2(3ω3κy+6v2x)6ω33κ2(1Γ(β)+t)β18βv23)+1)+ω3(δexp(3ω3βv2(3ω3κy+6v2x)6ω33κ2(1Γ(β)+t)β18βv23)+1)3.\mathscr{Z}=& \omega_0+ \frac{\omega_1 \left(\delta \exp \left(\frac{3 \omega_3 \beta \nu_2 \left(3 \omega_3 \kappa y+\sqrt{6} \nu_2 x\right)-\sqrt{6} \omega_3^3 \kappa ^2 \left(\frac{1}{\Gamma (\beta )}+t\right)^{\beta }}{18 \beta \nu_2^3}\right)+1\right)^2+\omega_3}{\left(\delta \exp \left(\frac{3 \omega_3 \beta \nu_2 \left(3 \omega_3 \kappa y+\sqrt{6} \nu_2 x\right)-\sqrt{6} \omega_3^3 \kappa ^2 \left(\frac{1}{\Gamma (\beta )}+t\right)^{\beta }}{18 \beta \nu_2^3}\right)+1\right)^3}\\ &+\frac{\omega_2 +\left(\delta \exp \left(\frac{3 \omega_3 \beta \nu_2 \left(3 \omega_3 \kappa y+\sqrt{6} \nu_2 x\right)-\sqrt{6} \omega_3^3 \kappa ^2 \left(\frac{1} {\Gamma (\beta )}+t\right)^{\beta }}{18 \beta \nu_2^3}\right)+1\right)+\omega_3}{\left(\delta \exp \left(\frac{3 \omega_3 \beta \nu_2 \left(3 \omega_3 \kappa y+\sqrt{6} \nu_2 x\right)-\sqrt{6} \omega_3^3 \kappa ^2 \left(\frac{1}{\Gamma (\beta )}+t\right)^{\beta }}{18 \beta \nu_2^3}\right)+1\right)^3}.

4.2
Implementations of IGKhM to (3+1)-dimensional KdV-type model

Consider equation (2) has a solution in the form of 43u(x,y,z,t)=U(ξ),ξ=γ1x+γ2y+γ3zγ4t,u(x, y, z, t)=U(\xi), \xi =\gamma _1 x+\gamma _2 y+\gamma _3 z -\gamma _4 t,

The following produces are straight away obtained by taking the wave transformation (43) into equation (2): 44γ14U(4)+(β1γ12+β2γ2γ1+β3γ3γ1+β4γ42γ4γ1)U+6γ12(UU)=0.\gamma _1^4 U^{(4)}+\left(\beta _1 \gamma _1^2+\beta _2 \gamma _2 \gamma _1+\beta _3 \gamma _3 \gamma _1+\beta _4 \gamma _4^2-\gamma _4 \gamma _1\right) U'' +6 \gamma _1^2 \left(U U'\right)'=0.

The last expression in (44) after twice integration with zero constants, concludes up with: 45γ14U+3γ12U2+U(β1γ12+β2γ2γ1+β3γ3γ1+β4γ42γ4γ1)=0.\gamma _1^4 U''+3 \gamma _1^2 U^2+U \left(\beta _1 \gamma _1^2+\beta _2 \gamma _2 \gamma _1+\beta _3 \gamma _3 \gamma _1+\beta _4 \gamma _4^2-\gamma _4 \gamma _1\right)=0.

Considering the balancing principles of the nonlinear terms in equation (45) we can obtain a formula for N and M as follows: 46N=M+2. N = M + 2 \cdot

The equation (46) generates consequential illustrations for the positive integers that already exist.

Family 1.

In (46), if M = 1 and N = 2, so (10) becomes: 47U(η)=ω0+ω1T+ω2T2+ω3T3v0+v1T,U(\eta)= \frac{\omega_{0} + \omega_{1}T + \omega_{2}T^{2}+ \omega_{3}T^{3} }{ \nu_{0} + \nu_{1}T }, where equation (11) is considered, hence: 48T=(ϕ2ϕ)(3ω3ϕ2+2ω2ϕ+ω1v1ϕ+v0v1(ω3ϕ3+ω2ϕ2+ω1ϕ+ω0)(v1ϕ+v0)2)=Ψ(T)Ω(T),T' & = \left(\phi ^2-\phi \right) \left(\frac{3 \omega_3 \phi ^2+2 \omega_2 \phi +\omega_1}{\nu_1 \phi +\nu_0}-\frac{\nu_1 \left(\omega_3 \phi ^3+\omega_2 \phi ^2 +\omega_1 \phi +\omega_0\right)}{\left(\nu_1 \phi +\nu_0\right)^2}\right)= \frac{\Psi(T)}{\Omega (T)}, notice that there should be at least ω3 ≠ 0, v1 ≠ 0, one can reach this: 49T=Ω(T)Ψ(T)Ψ(T)Ω(T)(Ω(T))2.T'' = \frac{ \Omega(T) \Psi^{'}(T) - \Psi(T) \Omega^{'}(T) }{(\Omega (T))^{2}}.

By substituting (47)-(49) into (18), we acquire the following algebraic system of equations by correlating to zero all the coefficients of the same powers of Ti for i = 0,1,2, ··· ,8. 50eq1=0,,eq9=0.eq1=0, \cdots , eq9=0 \cdot

The following sub-cases are constructed from the solving the system (50)

Family 1.1.

Here is a set of the obtained parameters: 51γ1=iω32v1,ω1=16ω3(16v0v1),ω2=ω3(v0v11),ω0=ω3v06v1,β4=2i2ω3v13/2(β2γ2+β3γ3γ4)+2ω3β1v1+ω324v12γ42.\begin{array}{lcc}\gamma_1&=&-\frac{i\sqrt{\omega_3}}{\sqrt2\sqrt{v_1}},\omega_1=\frac16\omega_3{(1-\frac{6v_0}{v_1})},\omega_2=\omega_3{(\frac{v_0}{v_1}-1)},\omega_0=\frac{\omega_3v_0}{6v_1},\\\beta_4&=&\frac{2i\sqrt2\sqrt{\omega_3}v_1^{3/2}{(\beta_2\gamma_2+\beta_3\gamma_3-\gamma_4)}+2\omega_3\beta_1v_1+\omega_3^2}{4v_1^2\gamma_4^2}.\end{array}

From (51), the subsequent solution is attained: 52F1,1=ω36v1(16δeiω3x2v1+γ4t+γ2y+γ3z(δeγ2y+γ3z+eγ4t+iω3x2v1)2).F_{1,1} = \frac{\omega_3}{6 \nu_1} \left(1-\frac{6 \delta e^{\frac{i \sqrt{\omega_3} x}{\sqrt{2} \sqrt{\nu_1}}+\gamma _4 t+\gamma _2 y+\gamma _3 z}}{\left(\delta e^{\gamma _2 y+\gamma _3 z}+e^{\gamma _4 t+\frac{i \sqrt{\omega_3} x}{\sqrt{2} \sqrt{\nu_1}}}\right)^2}\right).

Characteristic of (52) where γ2=32,ω3=52,γ3=34,γ4=54,v1=18,δ=32,y=23,z=13$ \gamma _2=\frac{3}{2}, \omega_3=\frac{5}{2}, \gamma _3=\frac{3}{4}, \gamma _4=\frac{5}{4}, \nu_1=\frac{1}{8}, \delta =\frac{3}{2}, y=\frac{2}{3}, z=\frac{1}{3}, $, and 10x10,10y10$ -10 \le x \le 10, \, -10 \le y \le 10 $ are presented below:

Family 1.2.

This family of the coefficients are reached: 53γ1=iω32v1,γ3=i2(2ω3v1β1+ω324v12β4γ22)ω3v13/24β2γ2+4γ44β3,ω0=ω3v06v1,ω1=16ω3(16v0v1),ω2=ω3(v0v11),$$\matrix{ {{\gamma _1} = - {{i\sqrt {{\omega _3}} } \over {\sqrt 2 \sqrt {{v_1}} }},} & {{\gamma _3} = {{{{i\sqrt 2 \left( {2{\omega _3}{v_1}{\beta _1} + \omega _3^2 - 4v_1^2{\beta _4}{\gamma _2}^2} \right)} \over {\sqrt {{\omega _3}} {v_1}^{3/2}}} - 4{\beta _2}{\gamma _2} + 4{\gamma _4}} \over {4{\beta _3}}},} & {} \cr {{\omega _0} = {{{\omega _3}{v_0}} \over {6{v_1}}},} & {{\omega _1} = {1 \over 6}{\omega _3}\left( {1 - {{6{v_0}} \over {{v_1}}}} \right),} & {{\omega _2} = {\omega _3}\left( {{{{v_0}} \over {{v_1}}} - 1} \right),} \cr } $$ with the referenced values in (53), the following solution is acquired: 54F1,2=ω36v1(16δexp(iω3x2v1+z(i2(2ω3v1β1+ω324v12β4γ42)ω3v13/24β2γ2+4γ4)4β3+γ4t+γ2y)(δexp(γ2y+z(i2(2ω3v1β1+ω324v12β4γ42)ω3v13/24β2γ2+4γ4)4β3)+eγ4t+iω3x2v1)2),F_{1,2}&=\frac{\omega_3}{6 \nu_1} \left(1-\frac{6 \delta \exp \left(\frac{i \sqrt{\omega_3} x}{\sqrt{2} \sqrt{\nu_1}}+\frac{z \left(\frac{i \sqrt{2} \left(2 \omega_3 \nu_1 \beta _1+\omega_3^2-4 \nu_1^2 \beta _4 \gamma _4^2\right)}{\sqrt{\omega_3} \nu_1^{3/2}}-4 \beta _2 \gamma _2+4 \gamma _4\right)}{4 \beta _3}+\gamma _4 t+\gamma _2 y\right)} {\left(\delta \exp \left(\gamma _2 y+\frac{z \left(\frac{i \sqrt{2} \left(2 \omega_3 \nu_1 \beta _1+\omega_3^2-4 \nu_1^2 \beta _4 \gamma _4^2\right)}{\sqrt{\omega_3} \nu_1^{3/2}}-4 \beta _2 \gamma _2+4 \gamma _4\right)}{4 \beta _3}\right)+e^{\gamma _4 t+\frac{i \sqrt{\omega_3} x}{\sqrt{2} \sqrt{\nu_1}}}\right)^2}\right),

Family 1.3.

We obtain the following parameters: 55ω0=13v0γ12,ω1=ω36+2v0γ12,ω2=ω32v0γ12,β2=β1γ12+γ1(γ4β3γ3)β4γ42+γ14γ1γ2,v1=ω32γ12,$$\matrix{ {{\omega _0} = - {1 \over 3}{v_0}\gamma _1^2,{\omega _1} = {{{\omega _3}} \over 6} + 2{v_0}\gamma _1^2,{\omega _2} = - {\omega _3} - 2{v_0}\gamma _1^2,} \hfill \cr {{\beta _2} = {{ - {\beta _1}\gamma _1^2 + {\gamma _1}\left( {{\gamma _4} - {\beta _3}{\gamma _3}} \right) - {\beta _4}\gamma _4^2 + \gamma _1^4} \over {{\gamma _1}{\gamma _2}}},{v_1} = - {{{\omega _3}} \over {2\gamma _1^2}},} \hfill \cr } $$ by utilizing (55), we derive the corresponding solution.

56F1,3=13γ12(6δeγ4t+γ1x+γ2y+γ3z(eγ4t+δeγ1x+γ2y+γ3z)21).F_{1,3} = \frac{1}{3} \gamma _1^2 \left(\frac{6 \delta e^{\gamma _4 t+\gamma _1 x+\gamma _2 y+\gamma _3 z}}{\left(e^{\gamma _4 t}+\delta e^{\gamma _1 x+\gamma _2 y +\gamma _3 z}\right)^2}-1\right).

Profile of the real solution (56) where γ1=52,γ2=43,γ3=54,γ4=45,δ=32,t=53,z=43$ \gamma _1=-\frac{5}{2}, \gamma _2=\frac{4}{3}, \gamma _3=\frac{5}{4}, \gamma _4=\frac{4}{5}, \delta =\frac{3}{2}, t=\frac{5}{3}, z=\frac{4}{3}, $ , and 10x10,10y10$ -10 \le x \le 10, \, -10 \le y \le 10 $ are graphed below :

Family 2.

From (46), if M = 2 then N = 4, so equation (10) is appearing in the following form: 57U(η)=ω0+ω1T+ω2T2+ω3T3+ω4T4v0+v1T+v2T2,U(\eta) =\frac{\omega_{0} + \omega_{1}T + \omega_{2}T^{2} + \omega_{3}T^{3}+ \omega_{4}T^{4}}{\nu_{0} + \nu_{1}T + \nu_{2}T^{2} }, where equation (11) is considered, thereafter: 58U=(ϕ2ϕ)(4ω4ϕ3+3ω3ϕ2+2ω2ϕ+ω1v2ϕ2+v1ϕ+v0(ω4ϕ4+ω3ϕ3+ω2ϕ2+ω1ϕ+ω0)(2v2ϕ+v1)(v2ϕ2+v1ϕ+v0)2),U' &= \left(\phi ^2-\phi \right) \left(\frac{4 \omega_4 \phi ^3+3 \omega_3 \phi ^2+2 \omega_2 \phi +\omega_1}{\nu_2 \phi ^2+\nu_1 \phi +\nu_0}-\frac{\left(\omega_4 \phi ^4+\omega_3 \phi ^3+\omega_2 \phi ^2+\omega_1 \phi +\omega_0\right) \left(2 \nu_2 \phi +\nu_1\right)}{\left(\nu_2 \phi ^2+\nu_1 \phi +\nu_0\right)^2}\right), there should be ω4 ≠ 0, v2 ≠ 0, one can find this: 59U=Ω(T)Ψ(T)Ψ(T)Ω(T)(Ω(T))2,U'' = \frac{ \Omega(T) \Psi' (T) - \Psi(T) \Omega' (T) }{(\Omega (T))^2}\cdot

By appointing (33)-(35) into (18), we acquire an algebraic system of equations involving coefficients of equation (18). Henceforth, we will try to equate the coefficients of the same powers of Ti for i = 0,1,2, ··· ,10, to zero, aiming to obtain the following algebraic system: 60eq1=0,,eq11=0.eq1=0, \cdots, eq11=0.

The following sub-family are generated by using computer software programs to solve (60).

Family 2.1.

We can get the following parameters: 61ω0=136(ω4v1v26ω1),ω2=16ω4(15v1v2)ω1,ω3=ω4(v1v21),γ1=iω42v2,v0=v16ω1v2ω4,β2=i2(2ω4v2β1+ω424v22β4γ42)ω4v23/24β3γ3+4γ44γ2,$$\eqalign{ & {\omega _0} = {1 \over {36}}\left( {{{{\omega _4}{v_1}} \over {{v_2}}} - 6{\omega _1}} \right),{\omega _2} = {1 \over 6}{\omega _4}\left( {1 - {{5{v_1}} \over {{v_2}}}} \right) - {\omega _1},{\omega _3} = {\omega _4}\left( {{{{v_1}} \over {{v_2}}} - 1} \right),{\gamma _1} = - {{i\sqrt {{\omega _4}} } \over {\sqrt 2 \sqrt {{v_2}} }}, \cr & {v_0} = {{{v_1}} \over 6} - {{{\omega _1}{v_2}} \over {{\omega _4}}},{\beta _2} = {{{{i\sqrt 2 \left( {2{\omega _4}{v_2}{\beta _1} + \omega _4^2 - 4v_2^2{\beta _4}\gamma _4^2} \right)} \over {\sqrt {{\omega _4}} v_2^{3/2}}} - 4{\beta _3}{\gamma _3} + 4{\gamma _4}} \over {4{\gamma _2}}}, \cr} $$ from (61) one generates the following solution: 62F2,1=ω46v2(16δeiω4x2v2+γ4t+γ2y+γ3z(δeγ2y+γ3z+eγ4t+iω4x2v2)2).F_{2,1}= \frac{\omega_4}{6 \nu_2} \left(1-\frac{6 \delta e^{\frac{i \sqrt{\omega_4} x}{\sqrt{2} \sqrt{\nu_2}}+\gamma _4 t+\gamma _2 y+\gamma _3 z}}{\left(\delta e^{\gamma _2 y +\gamma _3 z}+e^{\gamma _4 t+\frac{i \sqrt{\omega_4} x}{\sqrt{2} \sqrt{\nu_2}}}\right)^2}\right).

Family 2.2.

One obtain the subsequent coefficients: 63v2=ω42γ12,ω0=13v0γ12,ω1=2v0γ12ω46,ω2=7ω462v0γ12,ω3=2ω4;v1=ω42γ12,β4=γ1(β1γ1β2γ2β3γ3+γ13+γ4)γ42.$$\eqalign{ & {v_2} = - {{{\omega _4}} \over {2\gamma _1^2}},{\omega _0} = - {1 \over 3}{v_0}\gamma _1^2,{\omega _1} = 2{v_0}\gamma _1^2 - {{{\omega _4}} \over 6},{\omega _2} = {{7{\omega _4}} \over 6} - 2{v_0}\gamma _1^2, \cr & {\omega _3} = - 2{\omega _4};{v_1} = {{{\omega _4}} \over {2\gamma _1^2}},{\beta _4} = {{{\gamma _1}\left( { - {\beta _1}{\gamma _1} - {\beta _2}{\gamma _2} - {\beta _3}{\gamma _3} + \gamma _1^3 + {\gamma _4}} \right)} \over {\gamma _4^2}}. \cr} $$

The solution is as follows when the parameters stated in the equation (63) are implemented.

64F2,2=13γ12(6δeγ4t+γ1x+γ2y+γ3z(eγ4t+δeγ1x+γ2y+γ3z)21),F_{2,2}= \frac{1}{3} \gamma _1^2 \left(\frac{6 \delta e^{\gamma _4 t+\gamma _1 x+\gamma _2 y+\gamma _3 z}}{\left(e^{\gamma _4 t}+\delta e^{\gamma _1 x+\gamma _2 y +\gamma _3 z}\right)^2}-1\right),

Family 2.3.

One gets the following coefficients: 65γ1=iω42v2,ω0=ω4v06v2,ω1=ω4(v16v0)6v2,ω2=ω4(6v06v1+v2)6v2,ω3=ω4(v1v21),β4=2i2ω4v23/2(β2γ2+β3γ3γ4)+2ω4β1v2+ω424v22γ42,$$\eqalign{ & {\gamma _1} = - {{i\sqrt {{\omega _4}} } \over {\sqrt 2 \sqrt {{v_2}} }},{\omega _0} = {{{\omega _4}{v_0}} \over {6{v_2}}},{\omega _1} = {{{\omega _4}\left( {{v_1} - 6{v_0}} \right)} \over {6{v_2}}},{\omega _2} = {{{\omega _4}\left( {6{v_0} - 6{v_1} + {v_2}} \right)} \over {6{v_2}}}, \cr & {\omega _3} = {\omega _4}\left( {{{{v_1}} \over {{v_2}}} - 1} \right),{\beta _4} = {{2i\sqrt 2 \sqrt {{\omega _4}} v_2^{3/2}\left( {{\beta _2}{\gamma _2} + {\beta _3}{\gamma _3} - {\gamma _4}} \right) + 2{\omega _4}{\beta _1}{v_2} + \omega _4^2} \over {4v_2^2\gamma _4^2}}, \cr} $$. the solution that follows will be derived from the parameters that have been identified in equation (65): 66F2,3=ω46v2(16δeiω4x2v2+γ4t+γ2y+γ3z(δeγ2y+γ3z+eγ4t+iω4x2v2)2),F_{2,3} = \frac{\omega_4}{6 \nu_2} \left(1-\frac{6 \delta e^{\frac{i \sqrt{\omega_4} x}{\sqrt{2} \sqrt{\nu_2}}+\gamma _4 t+\gamma _2 y+\gamma _3 z}}{\left(\delta e^{\gamma _2 y+\gamma _3 z}+e^{\gamma _4 t+\frac{i \sqrt{\omega_4} x}{\sqrt{2} \sqrt{\nu_2}}}\right)^2}\right),

Physical structure of the solution (66) when ω4=52,v2=83,γ2=23,γ3=54,γ4=43,δ=52,y=13,z=43$ \omega_4=\frac{5}{2}, \nu_2=\frac{8}{3}, \gamma _2=\frac{2}{3}, \gamma _3=\frac{5}{4}, \gamma _4=\frac{4}{3}, \delta =-\frac{5}{2}, y=\frac{1}{3}, z=\frac{4}{3},$ and 20x20,20y20$ -20\le x \le 20, \, -20\le y \le 20, $ , are outlined in the following:

5
Results and discussion

The solutions obtained to the governing models exhibit a rich variety of physically meaningful wave structures such as bright solitons, dark solitons, singular solitons, dark-bright composites, and continuous periodic waves. For the Hirota–Maccari system, the variable u(x, y,t) models the complex envelope of an ultra-fast optical pulse in a single-mode fiber. The solution u1,1 characterized by Figures (1)-(2) represents a bright oscillatory multi-soliton whose real and imaginary components translate at constant speed without any change in shape, confirming stable energy transport along the fibre. The solution u1,3 represented by Figures (3)-(5) is a dark singular soliton characterized by sharp, isolated spikes rising from a flat background, a wave type relevant to ultra-short pulse dynamics in nonlinear optical media. The mixed-mode solution u2,2 represented by Figures (6)-(8) arises from the interplay between self-focusing and self-refocusing nonlinear, producing a dark-bright composite profile with a low-amplitude periodic tail, as seen in bi-modal fibers. In all solutions of HM, the fractional order β compresses the effective time axis: reducing β below unity slows the apparent wave speed, modeling anomalous dispersion in engineered photon media. For the KdV-type equation, solutions F1,1 and F2,3 symbolized by Figures (9)-(10), and (12)-(14) are singular solitons modeling ion-acoustic spikes in magnetized plasma, while solution F1,3 characterized by Figure (11) is a smooth dark solitons representing rarefaction waves in stratified fluid channels, where nonlinear steepening precisely balances linear dispersion. Across all solution families, the free parameters γ1, γ2 control the wave-front orientation in the spatial plane, ω/v governs the soliton width and carrier frequency, and δ sets the initial position of the wave peak.

Fig. 1

Profile of (28) in three-dimensional figures.

Fig. 2

Profile of (28) in two-dimensional time-evolution graphs where values of t are presented in the legend.

Fig. 3

Figures of (32) in three-dimensions.

Fig. 4

Contour surfaces figures of (32).

Fig. 5

Two-dimensional temporal-evolution plots (32) for given t values in the legend.

Fig. 6

Profile of (40) in 3-D.

Fig. 7

Two-Dimensional graphs of (40) where −20 ≤ x ≤ 20, y = 10.

Fig. 8

Revolution plots in 3-dimensions of (40) where y = 10, −20 ≤ x ≤ 20.

Fig. 9

Figures of (52) in 3D.

Fig. 10

Two-dimensional time-development plots of equation (52) where values of t are indicated in the legend.

Fig. 11

Three-dimensional and two-dimensional (where t values are given) time-evolution figures of (56).

Fig. 12

Plots of (66) in three-dimensions.

Fig. 13

Figures of (66), where 10x10,10y10$ -10\le x \le 10, \, -10\le y \le 10 ~$ (Contour surfaces).

Fig. 14

Time-growth figures in two-dimensions represent (66) for t values in the legend, where y=32,20x20$y= -\frac{3}{2}, \, -20 \le x \le 20$..

6
Conclusion

The existing research shows that the results presented here are new for the complex nonlinear (2+1)-dimensional time-fractional HM system and the (3+1)-dimensional Korteweg-de Vries-type equation. The improved generalized Kudryashov method, a semi-analytical technique, has been used for the first time on these models. The new “beta-derivative” meets certain characteristics called limits for fractional derivatives and is used to describe specific physical problems. In this study, numerous key solutions to the HM system were found, including multi-solitons, dark solitons, dark-bright solitons, dark singular solitons, bright singular solitons, M-shaped periodic waves, and singular soliton solutions, all using a specific approach. Some of these solutions have been visualized as multi-dimensional graphs. The models studied illustrate many nonlinear phenomena found in optical fibers, plasma, fluid mechanics, physics, engineering, and various scientific fields. The optical solitons generated may be important for understanding nonlinear processes in optical fiber interactions and signal processing. The free parameters in the solutions significantly influence the shape of the wave forms. Choosing these parameters is deliberate; they are not arbitrary or randomly selected. Additionally, the spatial and temporal intervals are crucial in shaping the solutions. The structure of these solutions demonstrates the reliability and effectiveness of the method used. The solutions are presented in combined forms, typically involving exponential functions coupled with either trigonometric or hyperbolic functions. We have also shown many two-dimensional time-evolution graphs that are new in literature for this model. These graphs illustrate how solutions change over time. Furthermore, three-dimensional plots, revolving plots around the x-axis, and surface contours are also depicted clearly. The dynamic behavior of the solutions can be observed in these visuals, which display various periodic traveling waves, M-shaped waves, continuous periodic waves, discontinuous waves, dark and bright solitons, and multi-periodic waves. This work can be expanded in several exciting ways. One idea is to replace the standard derivative with nonlocal operators like Caputo or Riemann-Liouville derivatives for the future direction.

Language: English
Submitted on: Nov 21, 2025
Accepted on: May 10, 2026
Published on: Jun 2, 2026
Published by: Harran University
In partnership with: Paradigm Publishing Services
Publication frequency: 2 issues per year

© 2026 Adnan Ahmad Mahmud, Kalsum Abdulrahman Muhamad, Tanfer Tanriverdi, published by Harran University
This work is licensed under the Creative Commons Attribution 4.0 License.

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