
In this paper, the neural network domain with the backpropagation Levenberg-Marquardt scheme (NNB-LMS) is novel with a convergent stability and generates a numerical solution of the impact of the magnetohydrodynamic (MHD) nanofluid flow over a rotating disk (MHD-NRD) with heat generation/absorption and slip effects. The similarity variation in the MHD flow of a viscous liquid through a rotating disk is explained by transforming the original non-linear partial differential equations (PDEs) to an equivalent non-linear ordinary differential equation (ODEs). Varying the velocity slip parameter, Hartman number, thermal slip parameter, heat generation/absorption parameter, and concentration slip parameter, generates a Prandtl number using the Runge-Kutta 4th order method (RK4) numerical technique, which is a dataset for the suggested (NNB-LMS) for numerous MHD-NRD scenarios. The validity of the data is tested, and the data is processed and properly tabulated to test the exactness of the suggested model. The recommended model was compared for verification, and the estimation solutions for particular instances were assessed using the NNB-LMS training, testing, and validation procedures. A regression analysis, a mean squared error (MSE) assessment, and a histogram analysis were used to further evaluate the proposed NNB-LMS. The NNB-LMS technique has various applications such as disease diagnosis, robotic control systems, ecosystem evaluation, etc. Some statistical data such as the gradient, performance, and epoch of the model were analyzed. This recommended method differs from the reference and suggested results, and has an accuracy rating ranging from 10−09to 10−12.
Citation: Yousef Jawarneh, Humaira Yasmin, Wajid Ullah Jan, Ajed Akbar, M. Mossa Al-Sawalha. A neural networks technique for analysis of MHD nano-fluid flow over a rotating disk with heat generation/absorption[J]. AIMS Mathematics, 2024, 9(11): 32272-32298. doi: 10.3934/math.20241549
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In this paper, the neural network domain with the backpropagation Levenberg-Marquardt scheme (NNB-LMS) is novel with a convergent stability and generates a numerical solution of the impact of the magnetohydrodynamic (MHD) nanofluid flow over a rotating disk (MHD-NRD) with heat generation/absorption and slip effects. The similarity variation in the MHD flow of a viscous liquid through a rotating disk is explained by transforming the original non-linear partial differential equations (PDEs) to an equivalent non-linear ordinary differential equation (ODEs). Varying the velocity slip parameter, Hartman number, thermal slip parameter, heat generation/absorption parameter, and concentration slip parameter, generates a Prandtl number using the Runge-Kutta 4th order method (RK4) numerical technique, which is a dataset for the suggested (NNB-LMS) for numerous MHD-NRD scenarios. The validity of the data is tested, and the data is processed and properly tabulated to test the exactness of the suggested model. The recommended model was compared for verification, and the estimation solutions for particular instances were assessed using the NNB-LMS training, testing, and validation procedures. A regression analysis, a mean squared error (MSE) assessment, and a histogram analysis were used to further evaluate the proposed NNB-LMS. The NNB-LMS technique has various applications such as disease diagnosis, robotic control systems, ecosystem evaluation, etc. Some statistical data such as the gradient, performance, and epoch of the model were analyzed. This recommended method differs from the reference and suggested results, and has an accuracy rating ranging from 10−09to 10−12.
In recent years, nonlinear partial differential equations (NPDEs) are widely used to describe complex phenomena in various fields of sciences, such as fluid mechanics, plasma, chemical reactions, optical fibers, solid state physics, relativity, ecology, gas dynamics physics and optical fiber, [1,2,3,4,5,6,7,8,9,10,11]. Therefore, exploring exact solutions for NPDEs plays an important role in nonlinear science. These solutions might be essential and important for the exploring some physical phenomena. Therefore investigating new technique to solve so many problems is so interesting topic. Thus, many new methods have been introduced, such as the F-expansion method [12,13], (G′G)− expansion method [14,15], tanh-sech method [16,17,18], exp-expansion method [19,20], the homogeneous balance method [21,22], Jacobi elliptic function method [23,24], sine-cosine method [25,26,27], extended tanh-method [28,29] and the Riccati-Bernoulli sub-ODE method [30,31,32,33] proposed for solving more complicated problems. Indeed, there are recent development in analytical methods for investigation solutions for NPDEs, see [34,35,36,37,38,39,40].
The nonlinear Schrödinger equations (NLSEs) are so important models in nonlinear evolution equations, which come in many areas of applied sciences such as nonlinear optics, quantum mechanics, fluid dynamics, molecular biology, elastic media, hydrodynamics, biology and plasma physics.
This paper is concerned with the unstable nonlinear Schrödinger equation (UNS) [41,42] given by
iqt+qxx+2η∣q∣2q−2γq=0,i=√−1, | (1.1) |
where, η,γ is a free parameter and q=q(x,t) is a complex-valued function. Equation (1.1) is a type of nonlinear Schrödinger equation with space and time exchanged. This equation prescribes a time evolution of disturbances in unstable media. The behavior of type occurs for the two-layer baroclinic instability and the lossless symmetric two-stream plasma instability [43]. To the best of our knowledge, no previous research work has been done using the proposed methods for solving the unstable nonlinear Schrödinger equation. Actually, many numerical and analytical methods have been also implemented to get solutions for Eq (1.1) such as modified Kudraysov method, the sine-Gordon expansion approach [41], expa method and hyperbolic function method [42], the new Jacobi elliptic function rational expansion method and the exponential rational function method [44], the extended simple equation method[45].
The main aim of this paper is to explore the UNS equation using exp(−φ(ξ))-expansion method, sine-cosine method and Riccati-Bernoulli sub-ODE method. We also show that the Riccati-Bernoulli sub-ODE technique gives infinite solutions. Actually, we introduce new types of exact analytical solutions. Comparing our results with other results, one can see that our results are new and most extensive. Indeed the new solutions presented in this article are so important in the theory of soliton. Moreover these solutions turn out to be very useful for Physicists to explain many interesting physical phenomena.
The rest of the paper is arranged as follows: In Section 2, the exp-function method, sine-cosine method and Riccati-Bernoulli sub-ODE method are briefly reviewed. In Section 3, some new exact solutions of the unstable Schrödinger equation are presented. Discussion of our results and comparing with the results of other authors is in Section 4. Conclusion and future works will appear in Section 5.
We present a brief description about the exp(−φ(ξ))-expansion method, sine-cosine method and Riccati-Bernoulli sub-ODE method to obtain new exact solutions for a given NPDE. For this goal, consider a NPDE in two independent variables x and t as
G(ϑ,ϑt,ϑx,ϑtt,ϑxx,....)=0, | (2.1) |
where G is a polynomial in ϑ(x,t) and its partial derivatives. The main steps are as follows [30]:
Step 1. Introducing the transformation
ϑ(x,t)=ϑ(ξ),ξ=k(x+ςt), | (2.2) |
varies Eq (2.1) to the following ordinary differential equation (ODE):
D(ϑ,ϑ′,ϑ″,ϑ‴,.....)=0, | (2.3) |
where D is a polynomial in ϑ(ξ) and its derivatives such that the superscripts denote the ordinary derivatives with respect to ξ.
According to the exp(−φ(ξ))-expansion technique [19,20,31], we assume that the solution of Eq (2.3) can be written in a polynomial form of exp(−φ(ξ)) as follows
ϑ(ξ)=Am(exp(−φ(ξ)))m+....., am≠0, | (2.4) |
where φ(ξ) obeys the following ODE
φ′(ξ)=exp(−φ(ξ))+νexp(φ(ξ))+λ. | (2.5) |
Eq (2.5) has the following solutions:
1. At λ2−4ν>0,ν≠0,
φ(ξ)=ln(−√λ2−4ν tanh(√λ2−4ν2(ξ+C))−λ2ν), | (2.6) |
2. At λ2−4ν<0,ν≠0,
φ(ξ)=ln(√4ν−λ2 tan(√4ν−λ22 (ξ+C))−λ2ν), | (2.7) |
3. At λ2−4ν>0,ν=0,λ≠0
φ(ξ)=−ln(λexp(λ(ξ+C))−1), | (2.8) |
4. At λ2−4ν=0,ν≠0,λ≠0,
φ(ξ)=ln(−2(λ(ξ+C)+2)λ2(ξ+C)), | (2.9) |
5. At λ2−4ν=0,ν=0,λ=0,
φ(ξ)=ln(ξ+C). | (2.10) |
Here C is an arbitrary constant.
Finally, superseding Eq (2.4) with Eq (2.5) into Eq (2.3) and agammaegating all terms of the same power exp(−mφ(ξ)), m=0,1,2,3,.... After that equating them to zero, we get algebraic equations solved by Mathematica or Maple to obtain the values of ai. Hence, we get the solutions (2.4), which give the exact solutions of Eq (2.3).
The solutions of Eq (2.3) can be expressed in the form [46,47]
ϑ(x,t)={αsinr(βξ),∣ξ∣≤πβ,0,otherwise,, | (2.11) |
or in the form
ϑ(ξ)(x,t)={αcosr(βξ),∣ξ∣≤π2μ,0,otherwise,, | (2.12) |
where α,β and r≠0, are parameters determined in sequel. From (2.11) we have
ϑ(ξ)=αsinr(βξ),ϑn(ξ)=αnsinnr(βξ),(ϑn)ξ=nβrαncos(βξ)sinnr−1(βξ),(ϑn)ξξ=−n2β2rαnsinnr(βξ)+nβ2αnr(nr−1)sinnr−2(βξ), | (2.13) |
and from (2.12) we have
ϑ(ξ)=αcosr(βξ),ϑn(ξ)=αncosnr(βξ),(ϑn)ξ=−nβrαnsin(βξ)cosnr−1(βξ),(ϑn)ξξ=−n2β2rαncosnr(βξ)+nβ2αnr(nr−1)cosnr−2(βξ). | (2.14) |
Finally, superseding Eq (2.13) or Eq (2.14) into Eq (2.3), then balance the terms of the cosine functions (2.14) or the sine functions (2.13). Then, we sum all terms with the same power in cosr(βξ) or sinr(βξ) and equating their coefficients to zero in order to obtain an algebraic equations in the unknowns β,α and r. Solving this system yields these unknown constants.
According to description of this method [30,31,32,33,48,49], we assume that Eq (2.3) has the following solution:
ϑ′=aϑ2−n+bϑ+cϑn, | (2.15) |
where a,b,c and n are constants calculated later. From Eq (2.15), we get
ϑ″=ab(3−n)ϑ2−n+a2(2−n)ϑ3−2n+nc2ϑ2n−1+bc(n+1)ϑn+(2ac+b2)ϑ, | (2.16) |
ϑ‴=(ab(3−n)(2−n)ϑ1−n+a2(2−n)(3−2n)ϑ2−2n +n(2n−1)c2ϑ2n−2+bcn(n+1)ϑn−1+(2ac+b2))ϑ′. | (2.17) |
The exact solutions of Eq (2.15), for an arbitrary constant μ are given as follow:
1. For n=1, the solution is
ϑ(ξ)=μe(a+b+c)ξ. | (2.18) |
2. For n≠1, b=0 and c=0, the solution is
ϑ(ξ)=(a(n−1)(ξ+μ))1n−1. | (2.19) |
3. For n≠1, b≠0 and c=0, the solution is
ϑ(ξ)=(−ab+μeb(n−1)ξ)1n−1. | (2.20) |
4. For n≠1, a≠0 and b2−4ac<0, the solution is
ϑ(ξ)=(−b2a+√4ac−b22atan((1−n)√4ac−b22(ξ+μ)))11−n | (2.21) |
and
ϑ(ξ)=(−b2a−√4ac−b22acot((1−n)√4ac−b22(ξ+μ)))11−n. | (2.22) |
5. For n≠1, a≠0 and b2−4ac>0, the solution is
ϑ(ξ)=(−b2a−√b2−4ac2acoth((1−n)√b2−4ac2(ξ+μ)))11−n | (2.23) |
and
ϑ(ξ)=(−b2a−√b2−4ac2atanh((1−n)√b2−4ac2(ξ+μ)))11−n. | (2.24) |
6. For n≠1, a≠0 and b2−4ac=0, the solution is
ϑ(ξ)=(1a(n−1)(ξ+μ)−b2a)11−n. | (2.25) |
Bäcklund transformation
When ϑm−1(ξ) and ϑm(ξ)(ϑm(ξ)=ϑm(ϑm−1(ξ))) are the solutions of Eq (2.15), we obtain
dϑm(ξ)dξ=dϑm(ξ)dϑm−1(ξ)dϑm−1(ξ)dξ=dϑm(ξ)dϑm−1(ξ)(aϑ2−nm−1+bϑm−1+cϑnm−1), |
namely
dϑm(ξ)aϑ2−nm+bϑm+cϑnm=dϑm−1(ξ)aϑ2−nm−1+bϑm−1+cϑnm−1. | (2.26) |
Integrating Eq (2.26) once with respect to ξ, we obtain the following Bäcklund transformation of Eq (2.15):
ϑm(ξ)=(−cK1+aK2(ϑm−1(ξ))1−nbK1+aK2+aK1(ϑm−1(ξ))1−n)11−n, | (2.27) |
where K1 and K2 are arbitrary constants. If we get a solution for this equation, we use Eq (2.27) to obtain infinite sequence of solutions of Eq (2.15), as well of Eq (2.1).
In order to solve the Eq (1.1), using exp(−φ(ξ))-expansion method and the Riccati-Bernoulli sub-ODE method, the following solution structure is selected
q(x,t)=eiχ(x,t)u(ξ),χ(x,t)=px+νt,ξ=kx+ωt, | (3.1) |
where p, ν, k and ω are constants. Substituting (3.1) into (1.1), we have the ODE
k2u″−2u3−(p2+ν+2γ)u=0,ω=−2pk,η=−1. | (3.2) |
Now we apply exp(−φ(ξ))-expansion and the Riccati-Bernoulli sub-ODE methods for Eq (3.2).
According to the exp(−φ(ξ))-expansion technique, Eq (3.2) has the following solution
u=A0+A1exp(−φ), | (3.3) |
where A0 and A1 are constants and A1≠0. It is easy to see that
u″=A1(2exp(−3φ)+3λexp(−2φ)+(2μ+λ2)exp(−φ)+λμ), | (3.4) |
u3=A31exp(−3φ)+3A0A21exp(−2φ)+3A20A1exp(−φ)+A30. | (3.5) |
Superseding u, u″, u3 into Eq (3.2) and hence equating the coefficients of exp(−φ) to zero, we obtain
k2A1λμ−2A30−(p2+ν+2γ)A0=0, | (3.6) |
k2A1(λ2+2μ)−6A20A1−(p2+ν+2γ)A1=0, | (3.7) |
k2A1λ−2A0A21=0, | (3.8) |
k2A1−A31=0. | (3.9) |
Solving Eqs (3.6)–(3.9), we get
A0=±kλ2,A1=±k,ν=−12(4γ+k2(λ2−4μ)+2p2). |
We consider only one case, whenever the other cases follow similarly. In this case, the solution of Eq (3.3) reads as:
u(ξ)=±k2(λ+2exp(−φ(ξ))). | (3.10) |
Superseding Eqs (2.6)–(2.7) into Eq (3.10), we obtain:
Case 1. At λ2−4μ>0,μ≠0,
u1,2(x,t)=±k2(λ−4μ√λ2−4μtanh(√λ2−4μ2(ξ+C))+λ). | (3.11) |
Using Eqs (3.1) and (3.11) the solutions of equation (1.1) are
q1,2(x,t)=±k2eiχ(λ−4μ√λ2−4μtanh(√λ2−4μ2(ξ+C))+λ). | (3.12) |
Case 2. At λ2−4μ<0,μ≠0,
u3,4(x,t)=±k2(λ+4μ√4μ−λ2tan(√4μ−λ22(ξ+C))−λ). | (3.13) |
Using Eqs (3.1) and (3.13) the solutions of Eq (1.1) are
q3,4(x,t)=±k2eiχ(λ+4μ√4μ−λ2tan(√4μ−λ22(ξ+C))−λ). | (3.14) |
Case 3. At λ2−4μ>0,μ=0,λ≠0
u5,6(x,t)=±k2(λ+2λexp(λ(ξ+C))−1). | (3.15) |
Using Eqs (3.1) and (3.15) the solutions of Eq (1.1) are
q5,6(x,t)=±k2eiχ(λ+2λexp(λ(ξ+C))−1). | (3.16) |
Case 4. At λ2−4μ=0,μ≠0,λ≠0,
u7,8(x,t)=±k2(λ−λ2(ξ+C)λ(ξ+C)+2). | (3.17) |
Using Eq (3.1) and (3.17) the solutions of Eq (1.1) are
q7,8(x,t)=±k2eiχ(λ−λ2(ξ+C)λ(ξ+C)+2). | (3.18) |
Case 5. At λ2−4μ=0,μ=0,λ=0,
u9,10(x,t)=±k2(1ξt+C). | (3.19) |
Using Eqs (3.1) and (3.19) the solutions of Eq (1.1) are
q9,10(x,t)=±k2eiχ(1ξt+C). | (3.20) |
Here k,λ,μ,C are constants, ξ=k(x−2pt) and χ=px−12(4γ+k2(λ2−4μ)+2p2)t.
We have plotted these solutions in Figures 1–5. Figure 1(a) shows the real part of q=q1(x,t) in (3.12), while Figure 1(b) shows imaginary part of this solution for k = 1.5, p = 1.5, γ = 1.3, λ = 2.3, μ=1, ω = -4.5, ν = -6.3012 and C = 1.4.
Figure 2(a) shows the real part of q=q3(x,t) in (3.14), while Figure 2(b) shows imaginary part of this solution for k = 1.2, p = 1.2, γ = 1.8, λ = 1.2, μ=2, ω = -2.88, ν = -0.3168 and C = 0.4.
Figure 3(a) shows the real part of q=q5(x,t) in (3.16), while Figure 3(b) shows imaginary part of this solution for k = 0.4, p = 0.6, γ = 0.3, λ = 1.2, μ=0, ω = -0.48, ν = -1.0752 and C = 1.
Figure 4(a) shows the real part of q=q7(x,t) in (3.18), while Figure 4(b) shows imaginary part of this solution for k = 0.5, p = 0.5, γ = 2.3, λ = 2, μ=1, ω = -0.5, ν = -4.85 and C = 4.
Figure 5(a) shows the real part of q=q9(x,t) in (3.20), while Figure 5(b) shows imaginary part of this solution k = -0.7, p = -0.5, γ = 0.8, λ=μ = 0, ω = -0.7, ν = -1.85 and C = 4.
According to sine-cosine technique, subtitling Eq (2.13) into Eq (3.2), gives
k2(−β2r2αsinr(βξ)+β2αr(r−1)sinr−2(βξ))−2α3sin3r(βξ)−(p2+ν+2γ)λsinr(βξ)=0. | (3.21) |
Thus by comparing the coefficients of the sine functions, we get
r−1≠0,r−2=3r, k2β2αr(r−1)−2α3=0, −k2β2r2α−(p2+ν+2γ)α=0. | (3.22) |
Solving this system gives
r=−1,α=±√−p2−ν−2γ,β=±√−(p2+ν+2γ)k, | (3.23) |
for p2+ν+2γ<0 and k≠0. We get the same result if we also use the cosine method (2.14). Thus, the periodic solutions are
˜u1,2(x,t)=±√−p2−ν−2γsec(√−(p2+ν+2γ)k(kx+ωt)),∣√−(p2+ν+2γ)k(kx+ωt)∣<π2 | (3.24) |
and
˜u3,4(x,t)=±√−p2−ν−2γcsc(√−(p2+ν+2γ)k(kx+ωt)),0<√−(p2+ν+2γ)k(kx+ωt)<π. | (3.25) |
Using Eqs (3.1) and (3.19) the solutions of Eq (1.1) are
˜q1,2(x,t)=±√−(p2+ν+2γ)ei(px+νt)sec(√−(p2+ν+2γ)k(kx+ωt)),∣√−(p2+ν+2γ)k(kx+ωt)∣<π2 | (3.26) |
and
˜q3,4(x,t)=±√−p2−ν−2γei(px+νt)csc(√−(p2+ν+2γ)k(kx+ωt)),0<√−(p2+ν+2γ)k(kx+ωt)<π. | (3.27) |
However, for p2+ν+2γ>0 and k≠0. we obtain the soliton and complex solutions
˜u5,6(x,t)=±√−p2−ν−2γsech(√(p2+ν+2γ)k(kx+ωt)) | (3.28) |
and
˜u7,8(x,t)=±√p2+ν+2γcsch(√(p2+ν+2γ)k(kx+ωt)). | (3.29) |
Using Eqs (3.1) and (3.19) the solutions of equation
˜q5,6(x,t)=±√−p2−ν−2γei(px+νt)sech(√(p2+ν+2γ)k(kx+ωt)) | (3.30) |
and
˜q7,8(x,t)=±√p2+ν+2γei(px+νt)csch(√(p2+ν+2γ)k(kx+ωt)). | (3.31) |
Figure 6(a) shows the real part of q=˜q1(x,t) in (3.26), while Figure 6(b) shows imaginary part of this solution for p = 2, ν = -2, γ = -3, k = 2 and ω = 1.
Figure 7(a) shows the real part of q=˜q5(x,t) in (3.30), while Figure 7(b) shows imaginary part of this solution for p = 2.6, ν = 2.1, γ = 3.1, k = 1.2 and ω = 2.
According to Riccati-Bernoulli Sub-ODE technique, substituting Eq (2.16) into Eq (3.2), we get
k2(ab(3−n)u2−n+a2(2−n)u3−2n+nc2u2n−1+bc(n+1)un+(2ac+b2)u)−2u3−(p2+ν+2γ)u=0. | (3.32) |
Putting n=0, Eq (3.32) becomes
k2(3abu2+2a2u3+bc+(2ac+b2)u)−2u3−(p2+ν+2γ)u=0. | (3.33) |
Putting each coefficient of ui(i=0,1,2,3) to zero, we get
bc=0, | (3.34) |
k2(2ac+b2)−(p2+ν+2γ)=0, | (3.35) |
3ab=0, | (3.36) |
k2a2−1=0. | (3.37) |
Solving Eqs (3.34)–(3.37), we have
b=0, | (3.38) |
ac=p2+ν+2γ2k2, | (3.39) |
c=±p2+ν+2γ2k, | (3.40) |
a=±1k. | (3.41) |
Hence, we give the cases of solutions for Eq (3.2) as follows
Rational function solutions: (When b=0 and c=0, i.e., p2+ν+2γ=0)
The solution of Eq (3.2) is
ˆu1(x,t)=(−a(kx+ωt+μ))−1. | (3.42) |
Therefore, using Eqs (3.1) and (3.42), the following new explicit exact solution of the unstable nonlinear Schrödinger equation can be acquired
ˆq1(x,t)=ei(px+νt)(−a(kx+ωt+μ))−1, | (3.43) |
where p,ν,γ,k,ω,μ are arbitrary constants.
Trigonometric function solution: (When p2+ν+2γ>0)
Superseding Eq (3.1) and Eqs (3.38)–(3.41) into Eqs (2.21) and (2.22), then the exact solutions of Eq (1.1) are
ˆu2,3(x,t)=±√p2+ν+2γ2tan(√p2+ν+2γ√2k(kx+ωt+μ)) | (3.44) |
and
ˆu4,5(x,t)=±√p2+ν+2γ2cot(√p2+ν+2γ√2k(kx+ωt+μ)). | (3.45) |
Consequently, using Eqs (3.1) and (3.42), the following new explicit exact solution for the unstable nonlinear Schrödinger equation can be obtained
ˆq2,3(x,t)=±ei(px+νt)√p2+ν+2γ2tan(√p2+ν+2γ√2k(kx+ωt+μ)) | (3.46) |
and
ˆq4,5(x,t)=±ei(px+νt)√p2+ν+2γ2cot(√p2+ν+2γ√2k(kx+ωt+μ)), | (3.47) |
where p,ν,γ,k,ω,μ are arbitrary constants.
Hyperbolic function solution : (When p2+ν+2γ<0)
Substituting Eq (3.1) and Eqs (3.38)–(3.41) into Eqs (2.23) and (2.24), then the exact solutions of Eq (1.1) are
ˆu6,7(x,t)=±√−(p2+ν+2γ)2tanh(√−(p2+ν+2γ)√2k(kx+ωt+μ)) | (3.48) |
and
ˆu8,9(x,t)=±√−(p2+ν+2γ)2coth(√−(p2+ν+2γ)√2k(kx+ωt+μ)). | (3.49) |
Subsequently, the following new explicit exact solution to the unstable nonlinear Schrödinger equation can be gained
ˆq6,7(x,t)=±ei(px+νt)√−(p2+ν+2γ)2tanh(√−(p2+ν+2γ)√2k(kx+ωt+μ)) | (3.50) |
and
ˆq8,9(x,t)=±ei(px+νt)√−(p2+ν+2γ)2coth(√−(p2+ν+2γ)√2k(kx+ωt+μ)), | (3.51) |
where p,ν,γ,k,ω,μ are arbitrary constants.
We have plotted these solutions in Figures 8–10. Figure 8(a) shows the real part of q=ˆq2(x,t) in (3.46), while Figure 8(b) shows imaginary part of this solution for k = 0.5, p = -1.3, ω = 1.3, ν = 1.4, γ = 1.5 and μ = 1.
Figure 9(a) shows the real part of q=ˆq6(x,t) in (3.50), while Figure 9(b) shows imaginary part of this solution for k = 1.5, p = 1.3, ω = -3.9, ν = -2.4, γ = -1.3 and μ = 1.
Figure 10(a) shows the real part of q=ˆq1(x,t) in (3.43), while Figure 10(b) shows imaginary part of this solution for k = 0.2, a = 5, p = 1.2, ω = -0.48, ν = 1.4 and μ = 1.
Remark 1. Using Eq (2.27) for ui(x,y), i = 1, ..., 9, once, then Eq (3.2) as well as for Eq (1.1) has an infinite solutions. In sequence, by applying this process again, we get new families of solutions.
ˆu⋆1(x,t)=B3−aB3(kx+ωt+μ)±1, | (3.52) |
ˆu⋆2,3(x,t)=−p2+ν+2γ2±B3√p2+ν+2γ2tan(√p2+ν+2γ√2k(kx+ωt+μ))B3±√p2+ν+2γ2tan(√p2+ν+2γ√2k(kx+ωt+μ)), | (3.53) |
ˆu⋆4,5(x,t)=−p2+ν+2γ2±B3√p2+ν+2γ2cot(√p2+ν+2γ√2k(kx+ωt+μ))B3±√p2+ν+2γ2cot(√p2+ν+2γ√2k(kx+ωt+μ)), | (3.54) |
ˆu⋆6,7(x,t)=−p2+ν+2γ2±B3√−(p2+ν+2γ)2tanh(√−(p2+ν+2γ)√2k(kx+ωt+μ))B3±√−(p2+ν+2γ)2tanh(√−(p2+ν+2γ)√2k(kx+ωt+μ)), | (3.55) |
ˆu⋆8,9(x,t)=−p2+ν+2γ2±B3√−(p2+ν+2γ)2coth(√−(p2+ν+2γ)√2k(kx+ωt+μ))B3±√−(p2+ν+2γ)2coth(√−(p2+ν+2γ)√2k(kx+ωt+μ)), | (3.56) |
where B3,p,ν,γ,k,ω and μ are arbitrary constants.
In this article, the exp(−φ(ξ))-expansion, the sine-cosine and Riccati-Bernoulli sub-ODE techniques have been efficiently applied to construct many new solutions. As an outcome, a number of new exact solutions for the UNS equation were formally derived. Namely, the exp(−φ(ξ))-expansion method gives a first family of ten solutions. Whereas, sine-cosine method give another different second family of eight solutions. Indeed, Riccati-Bernoulli sub-ODE method gives a wide range of new explicit exact solutions including rational functions, trigonometric functions, hyperbolic functions and exponential functions in a straightforward manner. The effectiveness and helpfulness of the exp(−φ(ξ))-expansion, the sine-cosine and Riccati-Bernoulli sub-ODE methods to deal with UNS equation was proved. As a success, a wide range of new explicit exact solutions were obtained in a straightforward manner. Our study shows that the proposed three methods are reliable in handling NPDEs to establish a variety of exact solutions. Finally, we have plotted some 3D graphs of these solutions and we have shown that these graphs can be controlled by adjusting the parameters.
Remark 2.
1. Comparing our results concerning the UNS equation with the results in [41,42,44,45], one can see that our results are new and most extensive. Indeed, choosing suitable values for the parameters similar solutions can be verified.
2. The Riccati-Bernoulli sub-ODE method has an interesting feature, that admits infinite solutions, which has never given for any other method.
3. The three proposed methods in this article are efficient, powerful and adequate for solving other types of NPDEs and can be easily extended to solve nonlinear fractional differential equations, see [32,33,49,50,51,52,53,54,55,56].
The exp(−φ(ξ))-expansion, sine-cosine and Riccati-Bernoulli sub-ODE techniques have successfully been applied for the UNS equation. Many new exact solutions are obtained during the analytical treatment. The availability of computer systems like Matlab or Mathematica facilitates avoids us the tedious algebraic calculations. Indeed, the obtained solutions are of significant importance in the studies of applied science as they help in explaining some interesting physical mechanism for the complex phenomena. The 3D graphs of some exact solutions are plotted for suitable parameters. Finally, the proposed methods can be applied for a wide range of nonlinear partial differential equations arising in natural sciences. Currently, work is in progress on the applications of the proposed methods in this paper in order to solve the other nonlinear partial differential equations. Indeed these methods can be extended to solve fractional partial differential equations.
The authors thank the editor and anonymous reviewers for their valuable comments and suggestions.
The authors declare no conflict of interest.
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