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Research Article

Lie group analysis, solitons, self-adjointness and conservation laws of the nonlinear elastic structural element equation

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Article: 2294554 | Received 30 Jun 2023, Accepted 08 Dec 2023, Published online: 18 Dec 2023

Abstract

This study is based on the Lie group method for the nonlinear elastic structural element equation (ESE Equation). We obtain a three-dimensional Lie algebra. By utilizing this Lie algebra a four-dimensional optimal system is constructed. The governing ESE Equation is converted to nonlinear ordinary differential equations (ODEs) via symmetry reduction. We use a modified auxiliary equation (MAE) procedure to deal with nonlinear ODEs. These ODEs reveal the dynamics of the periodic and soliton solutions. We obtain soliton solutions through rational, trigonometric, and hyperbolic functions. Wolfram Mathematica simulations vividly illustrate the wave characteristics of the derived solutions, affirming their properties as singular periodic solutions, a singular solution, an optical dark soliton solution, and a singular soliton solution. We also obtain the local conservation laws by a new conservation theorem introduced by Ibragimov.

1. Introduction

In the present research of nonlinear complex physical processes, exact solutions for the nonlinear evolution equations (NEEs) are extremely important. Numerous novel techniques have been proposed in recent years, including the tanh-method [Citation1], the Jacobi elliptic function method [Citation2], the homotopy perturbation approach [Citation3], the homogeneous balancing method [Citation4], the sine-cosine method [Citation5], the simplest equation technique [Citation6], the modified auxiliary equation method [Citation7], the improved F-expansion technique [Citation8], the exp-function approach [Citation9], the (G/G)-expansion technique [Citation10], the Hirota bilinear technique [Citation11], the new extended direct algebraic method [Citation12], and others [Citation13]. More importantly, Lie initially suggested the Lie group analysis, which was afterward studied by Ovsiannikov [Citation14], Ibragimov [Citation15], Bluman [Citation16], Olver [Citation17,Citation18], and Stephani [Citation19]. The nonlinear Vakhnenko-Parkes equation, pseudo-parabolic equations, nonlinear wave equations in elasticity, reduced micro morphic model, Riabouchinsky Proudman Johnson equation, generalized Pochhammer-Charee equation, the Thomas equation [Citation20], Lonngren equation, Schrödinger equation and many other nonlinear equations were successfully and fruitfully solved using this method.

The widely recognized Korteweg-de Vries (KdV) model, describing the dimensionless fluid depth w=w(x,t) of long surface waves on shallow water, is expressed as follows (1) wt+αwwx+γwxxx=0,(1) where α is parameter of nonlinearity and γ is a dispersion parameter. The adjusted version of this model, commonly referred to as the modified KdV model or equation, is formulated as follows (2) wt+βw2wx+γwxxx=0,(2) where β is parameter of nonlinearity and γ is a dispersion parameter. There exists a substantial body of literature, and a few notable references are cited here [Citation21–31], addressing the KdV and modified KdV equations. Our focus centres on concurrently investigating the influence of both models. To this end, we introduce a nonlinear model that scrutinizes the combined effects of both (Equation1) and (Equation2), as expressed by (3) wt+αwwx+βw2wx+γwxxx=0,(3) where α,β are parameters of nonlinearity, γ is a dispersion parameter and w(x,t) is the displacement function. Referred to as the nonlinear elastic structural element (ESE) equation, it emerges in elasticity and various other domains. When β=0, Equation (Equation3) corresponds to the KdV model (Equation1), and in the case of α=0, it represents the modified KdV model (Equation2). Our discussion centres on this model from the perspective of closed-form solutions. The novelty in our approach lies in applying the group analysis method for obtaining closed-form solutions to the nonlinear ESE Equation (Equation3). We further present soliton solutions grounded in hyperbolic, trigonometric, and rational functions. Notably, we showcase singular periodic solutions, a singular solution, an optical dark soliton solution, and a singular soliton solution for the ESE Equation (Equation3).

The contents of the paper are organized as follows: The symmetry finding approach for a nonlinear ESE Equation that supplies the base elements for the optimal system is described in Section 2. For the symmetry reductions in Section 3, we use the optimal system. We define the MAE procedure algorithm in Section 4 to deal with soliton solutions with the aid of governing ODEs. In Section 5, we discuss the self-adjointness of the ESE Equation and obtain the conservation laws using Ibragimov's theorem. The generated soliton wave patterns' dynamics are demonstrated with numerical evaluation and discussion utilizing symbolic computation in Section 6. The final thoughts on the study are presented in Section 7, along with a few novel concepts for further research.

2. Lie classification and optimal system

Following is a brief summary of the Lie symmetry [Citation14]. Consider a one-parameter Lie group of transformation (4) x~x+ςψ1(x,t,w)+O(ς2),t~t+ςψ2(x,t,w)+O(ς2),w~w+ςη(x,t,w)+O(ς2),(4) with ς acting as the group parameter. The vector field that corresponds to the transformations mentioned above is defined as (5) =ψ1(x,t,w)x+ψ2(x,t,w)t+η(x,t,w)w.(5) Equation (Equation3) requires the third order prolonged generator [3] given by (6) [3]=+s=13ηi1iswi1is,(6) where ηi1is=Disηi1is1(Disψl)wi1,,ik1l, and Di is a total derivative operator.

Then by invariance condition [Citation15] of Equation (Equation3) we get (7) [3](wt+αwwx+βw2wx+γwxxx)|(3)=0.(7) Separating different polynomials in w and its derivatives, condition (Equation7) gives rise to an overdetermined system of PDEs given by (8) ψ2tt=0,ψ2w=0,ψ2x=0,ψ1t+α26βψ2t=0,ψ1w=0,ψ1xψ2t3=0,ηw+(α+2βw)6βψ2t=0.(8) The solution of system (Equation8) provides the infinitesimals given by (9) ψ1=c13xc1α26βt+c3,ψ2=c1t+c2,η=c1(α+2βw)6β,(9) where c1,c2,c3 are arbitrary constants. From Equation (Equation9), we get the following three symmetry generators (10) 1=t,2=x,3=(α2t2βx)x6βtt+(2βw+α)w.(10) The Lie algebra formed by these symmetry generators under Lie bracket [,] has the following commutator Table . Also, the adjoint representation [Citation17] is shown via Table .

Table 1. Commutator table.

Table 2. Adjoint table.

Theorem 2.1

[Citation18]

Let L3 be the Lie algebra given in Equation (Equation10). In this case, the optimal system of subalgebras with only one-dimension can be discovered using the generators listed below. (11) O1=3,O2=2,O3=1,O4=1±2.(11)

Proof.

Let us take an arbitrary element L3. We have, (12) =x11+x22+x33(12) where xi,i=1,2,3 are any real parameters.

Case 1: x30. Then we have, (13) =x11+x22+x33(13) (14) =Ad(eϵ1)=x33(14) Hence, we get (15) O1=3,(15) Case 2: x3=0,x1=0. Then we have, (16) =x22(16) Hence, we get (17) O2=2,(17) Case 3: x3=0,x10,x2=0. Then we have, (18) =x11(18) Hence, we get (19) O3=1,(19) Case 4: x3=0,x10,x20. Take x1=1. Then we have, (20) =1+x22(20) (21) =Ad(eϵ3)=1+(x2e4βϵα24βe4βϵ(e4βϵ1))2(21) Hence, we get (22) O4=1±2.(22)

3. Symmetry reductions via subalgebras

3.1. Reduction by O2=2

Through the application of the characteristic approach, we adhere to the characteristic equation relevant to the vector field 2 written as dx1=dt0=dw0.After solving the above-mentioned equation, we acquire the similarity variables w=h(r),r=t. By employing this transformation, it becomes feasible to express the simplified form of Equation (Equation3) as follows h=0, with solution h(r)=c1. Consequently, the invariant solution of Equation (Equation3) in the main variables can be expressed as (23) w(x,t)=c1.(23)

3.2. Reduction by O3=1

Through the application of the characteristic approach, we adhere to the characteristic equation relevant to the vector field 1 written as dx0=dt1=dw0.After solving the above-mentioned equation, we acquire the similarity variables w=h(r),r=x and the reduced ODE becomes (24) γh+(α+βh)hh=0.(24) Acknowledging the complexity of solving this nonlinear ordinary differential equation, our focus will shift to exploring soliton solutions for the ESE Equation (Equation3) by examining the corresponding ODE (Equation24).

3.3. Reduction by O1=3

Through the application of the characteristic approach, we adhere to the characteristic equation relevant to the vector field 3 written as dxα2t2βx=dt6βt=dw2βw+α.After solving the above-mentioned equation, we acquire the similarity variables w=2βh(r)αt132βt13,r=α2t+4βx4βt13, with reduced ODE given by (25) 3γh+(3βh2r)hh=0.(25) We only follow the trivial solution of the above ODE. Therefore, we get the solution (26) w(x,t)=α2β.(26)

3.4. Reduction by O4=1+2

Through the application of the characteristic approach, we adhere to the characteristic equation relevant to the vector field 1+2 written as dx1=dt1=dw0.After solving the above-mentioned equation, we acquire the similarity variables w=k(r),r=x+t. By employing this transformation, it becomes feasible to express the simplified form of Equation (Equation3) as follows (27) γh+βh2h+αhhh=0.(27) Integrating the above equation and taking the constant of integration to be zero (28) 6γh+2βh3+3αh26h=0.(28) We also deal with the solution of this ODE in the next section.

3.5. Reduction by O4=12

Through the application of the characteristic approach, we adhere to the characteristic equation relevant to the vector field 12 written as dx1=dt1=dw0.The similarity variables becomes w=k(r),r=x+t and the reduced ODE is (29) γh+βh2h+αhh+h=0.(29) Integrating the above equation and taking the constant of integration to be zero (30) 6γh+2βh3+3αh2+6h=0.(30) In the next section, we introduce the algorithm for the MAE procedure to deal with the soliton solutions of the governing ODEs (Equation24), (Equation28) and (Equation30).

4. Description of the MAE procedure

The soliton solutions are very helpful in investigating the dynamical behaviour and nature of the physical phenomenon. Here we use to describe the algorithm for the MAE procedure [Citation32] to use for the soliton solutions for the reduced ODEs (Equation24), (Equation28) and (Equation30). Here are the main steps of the algorithm.

Step 1: We take into account an NPDE in its basic form (31) E1(w,wt,wx,wxx,,)=0.(31) Step 2: We use the transform w(x,t)=h(r),r=xct to Equation (Equation31), to get the following ODE (32) E2(h,h,h,)=0.(32) For the MAE procedure, we follow the following ansatz solution (33) h(r)=a0+ς=1ϕ[aς(Th)ς+bς(Th)ς],(33) where T, aς, bς, and a0 are arbitrary constants, and h(r) fulfils the auxiliary equation (34) h(r)=Ψ1+Ψ2Th+Ψ3Thln(T),(34) where Ψ1, Ψ2, and Ψ3 are arbitrary constants and T>0,T1. The solution of the auxiliary Equation (Equation34) is given below taking into account different cases.

Case i: If 4Ψ1Ψ3Ψ32<0,Ψ30, then Th=Ψ2+4Ψ1Ψ3Ψ32tan(4Ψ1Ψ3Ψ32ζ2)2Ψ3 orTh=Ψ2+4Ψ1Ψ3Ψ32cot(4Ψ1Ψ3Ψ32ζ2)2Ψ3Case ii: If Ψ224Ψ1Ψ3>0,Ψ30, then Th=Ψ2+Ψ224Ψ1Ψ3tanh(Ψ224Ψ1Ψ3ζ2)2Ψ3 orTh=Ψ2+Ψ224Ψ1Ψ3coth(Ψ224Ψ1Ψ3ζ2)2Ψ3Case iii: If Ψ224Ψ1Ψ3=0, and Ψ30, then Th=2+βζ2Ψ3ζ.Step 3: In this algorithm step, the homogeneous balancing principle is used to indicate the balancing number ϕ.

Step 4: For the solution of Equation (Equation31), we back substitute the values in Equation (Equation32) and then replace the transform defined in step 2.

Now we utilize the above-defined algorithm of the MAE procedure to the nonlinear elastic structural element Equation (Equation3).

4.1. Soliton solutions of the ESE Equation (3)

By using the homogeneous balancing principle on Equation (Equation24), we get the balancing number ϕ=1. Then by Equation (Equation33) we get (35) h(r)=a0+a1Th(r)+b1Th(r).(35) We insert the values of the required expression in Equation (Equation24) and then apply Equation (Equation34). Then by comparing different powers of Th, we obtain an algebraic system. To handle this system we use computing tools like Mathematica or Maple to get the following solution sets.

Group (1): α=6γΨ1(2a0Ψ1)b1Ψ2b12,a0=a0,a1=6a0Ψ126a0b1Ψ1Ψ2+b12Ψ224b1Ψ12,b1=b1,β=6γΨ12b12.Inserting back the parameters values of Group 1 to Equation (Equation24), we get the following categories of the soliton solutions;

Strategy (1): When Δ=Ψ224Ψ1Ψ3<0, and Ψ30, we have the solution of Equation (Equation3) in the form of trigonometric functions is (36) w1(x,t)=a0+6a0Ψ126a0b1Ψ1Ψ2+b12Ψ224b1Ψ12×{Ψ2+Δ2Ψ3tan(Δx2)}+b1{Ψ2+Δ2Ψ3tan(Δx2)}1,(36) or (37) w2(x,t)=a0+6a0Ψ126a0b1Ψ1Ψ2+b12Ψ224b1Ψ12×{Ψ2+Δ2Ψ3cot(Δx2)}+b1{Ψ2+Δ2Ψ3cot(Δx2)}1.(37) Strategy (2): When Δ=Ψ224Ψ1Ψ3>0, and Ψ30, the solution of Equation (Equation3) in the form of hyperbolic functions is (38) w3(x,t)=a0+6a0Ψ126a0b1Ψ1Ψ2+b12Ψ224b1Ψ12×{Ψ2+Δ2Ψ3tanh(Δx2)}+b1{Ψ2+Δ2Ψ3tan(Δx2)}1,(38) or (39) w4(x,t)=a0+6a0Ψ126a0b1Ψ1Ψ2+b12Ψ224b1Ψ12×{Ψ2+Δ2Ψ3tan(Δx2)}+b1{Ψ2+Δ2Ψ3coth(Δx2)}1.(39) Strategy (3): When Δ=Ψ224Ψ1Ψ3=0, and Ψ30, we have the following rational form of the solution; (40) w5(x,t)=a0+6a0Ψ126a0b1Ψ1Ψ2+b12Ψ224b1Ψ12×{2+βx2Ψ3x}+b1{2+βx2Ψ3x}1.(40) Group (2): α=6γΨ1(2a0Ψ1)b1Ψ2b12,a0=a0,a1=0,b1=b1,β=6γΨ12b12.Inserting back the values of the parameters of Group 2 to Equation (Equation24), we get the following categories of the soliton solutions;

Strategy (4): When Δ=Ψ224Ψ1Ψ3<0, and Ψ30, we have the solution of Equation (Equation3) in the form of trigonometric functions is (41) w6(x,t)=a0+b1{Ψ2+Δ2Ψ3tan(Δx2)}1,(41) or (42) w7(x,t)=a0+b1{Ψ2+Δ2Ψ3cot(Δx2)}1.(42) Strategy (5): When Δ=Ψ224Ψ1Ψ3>0, and Ψ30, the solution of Equation (Equation3) in the form of hyperbolic functions is (43) w8(x,t)=a0+b1{Ψ2+Δ2Ψ3tanh(Δx2)}1,(43) or (44) w9(x,t)=a0+b1{Ψ2+Δ2Ψ3coth(Δx2)}1.(44) Strategy (6): When Δ=Ψ224Ψ1Ψ3=0, and Ψ30, we have the following rational form of the solution; (45) w10(x,t)=a0+b1{2+βx2Ψ3x}1.(45) Group (3): α=6γΨ3(2a0Ψ3)a1Ψ2a12,a0=a0,a1=a1,b1=0,β=6γΨ32a12.Inserting back the values of parameters of Group 3 to Equation (Equation24), we get the following categories of the soliton solutions;

Strategy (7): When Δ=Ψ224Ψ1Ψ3<0, and Ψ30, we have the solution of Equation (Equation3) in the form of trigonometric functions is (46) w11(x,t)=a0+a1{Ψ2+Δ2Ψ3tan(Δx2)},(46) or (47) w12(x,t)=a0+a1{Ψ2+Δ2Ψ3cot(Δx2)}.(47) Strategy (8): When Δ=Ψ224Ψ1Ψ3>0, and Ψ30, the solution of Equation (Equation3) in the form of hyperbolic functions is (48) w13(x,t)=a0+a1{Ψ2+Δ2Ψ3tanh(Δx2)},(48) or (49) w14(x,t)=a0+a1{Ψ2+Δ2Ψ3coth(Δx2)}.(49) Strategy (9): When Δ=Ψ224Ψ1Ψ3=0, and Ψ30, we have the following rational form of the solution; (50) w15(x,t)=a0+a1{2+βx2Ψ3x}.(50) Now we apply the algorithm of MAE procedure to the reduced ODE (Equation28) to obtain the soliton solutions for the nonlinear ESE Equation (Equation3). By using the homogeneous balancing principle on Equation (Equation28), we get the balancing number ϕ=1. Then by Equation (Equation33) we get (51) h(r)=a0+a1Th(r)+b1Th(r).(51) We insert the values of the required expression in Equation (Equation28) and then apply Equation (Equation34). Then by comparing different powers of the Th, we obtain an algebraic system. To handle this system we use computing tools like Mathematica or Maple to have the following solution sets.

Group (1): α=6γΨ1(2a0Ψ1)b1Ψ2b12a1=6γa02Ψ126γa0b1Ψ1Ψ2+γb12Ψ22b214γb1Ψ12β=6γΨ12b12.Inserting back the parameters values of Group 1 to Equation (Equation28), we get the following categories of the soliton solutions;

Strategy (10): When Δ=Ψ224Ψ1Ψ3<0, and Ψ30, we have the solution of Equation (Equation3) in the form of trigonometric functions is (52) w16(x,t)=a0+6γa02Ψ126γa0b1Ψ1Ψ2+γb12Ψ22b214γb1Ψ12×{Ψ2+Δ2Ψ3tan(Δ(tx)2)}+b1{Ψ2+Δ2Ψ3tan(Δx2)}1,(52) or (53) w17(x,t)=a0+6γa02Ψ126γa0b1Ψ1Ψ2+γb12Ψ22b214γb1Ψ12×{Ψ2+Δ2Ψ3cot(Δx2)}+b1{Ψ2+Δ2Ψ3tan(Δ(tx)2)}1.(53) Strategy (11): When Δ=Ψ224Ψ1Ψ3>0, and Ψ30, the solution of Equation (Equation3) in the form of hyperbolic functions is (54) w18(x,t)=a0+6γa02Ψ126γa0b1Ψ1Ψ2+γb12Ψ22b214γb1Ψ12×{Ψ2+Δ2Ψ3tanh(Δx2)}+b1{Ψ2+Δ2Ψ3tanh(Δ(tx)2)}1,(54) or (55) w19(x,t)=a0+6γa02Ψ126γa0b1Ψ1Ψ2+γb12Ψ22b214γb1Ψ12×{Ψ2+Δ2Ψ3coth(Δx2)}+b1{Ψ2+Δ2Ψ3coth(Δ(tx)2)}1.(55) Strategy (12): When Δ=Ψ224Ψ1Ψ3=0, and Ψ30, we have the following rational form of the solution; (56) w20(x,t)=a0+6γa02Ψ126γa0b1Ψ1Ψ2+γb12Ψ22b214γb1Ψ12×{2+βx2Ψ3x}+b1{2+β(tx)2Ψ3(tx)}1.(56) The second set Group 2 of parameters is given by α=6γΨ1(2a0Ψ1)b1Ψ2b12,a0=a0,a1=0,b1=b1,β=6γΨ12b12.Inserting back the values of the parameters of Group 2 to Equation (Equation28), we get the following categories of the soliton solutions;

Strategy (13): When Δ=Ψ224Ψ1Ψ3<0, and Ψ30, we have the solution of Equation (Equation3) in the form of trigonometric functions is (57) w21(x,t)=a0+b1{Ψ2+Δ2Ψ3×tan(Δ(tx)2)}1,(57) or (58) w22(x,t)=a0+b1{Ψ2+Δ2Ψ3×cot(Δ(tx)2)}1.(58) Strategy (14): When Δ=Ψ224Ψ1Ψ3>0, and Ψ30, the solution of Equation (Equation3) in the form of hyperbolic functions is (59) w23(x,t)=a0+b1{Ψ2+Δ2Ψ3×tanh(Δ(tx)2)}1,(59) or (60) w24(x,t)=a0+b1{Ψ2+Δ2Ψ3×coth(Δ(tx)2)}1.(60) Strategy (15): When Δ=Ψ224Ψ1Ψ3=0, and Ψ30, we have the following rational form of the solution; (61) w25(x,t)=a0+b1{2+β(tx)2Ψ3(tx)}1.(61) The third set Group 3 of parameters is α=6γΨ3(2a0Ψ3)a1Ψ2a12,a0=a0,a1=a1,b1=0,β=6γΨ32a12.Inserting back the values of parameters of Group 3 to Equation (Equation28), we get the following categories of the soliton solutions;

Strategy (16): When Δ=Ψ224Ψ1Ψ3<0, and Ψ30, we have the solution of Equation (Equation3) in the form of trigonometric functions is (62) w26(x,t)=a0+a1{Ψ2+Δ2Ψ3×tan(Δ(tx)2)},(62) or (63) w27(x,t)=a0+a1{Ψ2+Δ2Ψ3×cot(Δ(tx)2)}.(63) Strategy (17): When Δ=Ψ224Ψ1Ψ3>0, and Ψ30, the solution of Equation (Equation3) in the form of hyperbolic functions is (64) w28(x,t)=a0+a1{Ψ2+Δ2Ψ3×tanh(Δ(tx)2)},(64) or (65) w29(x,t)=a0+a1{Ψ2+Δ2Ψ3×coth(Δ(tx)2)}.(65) Strategy (18): When Δ=Ψ224Ψ1Ψ3=0, and Ψ30, we have the following rational form of the solution; (66) w30(x,t)=a0+a1{2+β(tx)2Ψ3(tx)}.(66) For the more categories of the soliton solutions, we will now proceed with the MAE procedure to the reduced ODE (Equation30). We follow the same steps for this ODE (Equation30) and have a set of values of parameters. For the solutions via the MAE procedure algorithm, we have the set of parameter values given by Group 1 C=1Ψ1β11875γβ(16α36α2+45β+92α4+60αβ6α2+45β690α2β+1350β2)a0=175Ψ1β48α36α2+45β+276α4180αβ6α2+45β2070α2β+4050β2γβ,a1=a1,b1=b1,β=γ2Ψ24+2γΨ22+1b1a1γΨ22.Inserting back the parameters values of Group 1 to Equation (Equation30), we get the following three categories of the soliton solutions;

Strategy (19): When Δ=Ψ224Ψ1Ψ3<0, and Ψ30, we have the solution of Equation (Equation3) in the form of trigonometric functions is (67) w31(x,t)=175Ψ1β48α36α2+45β+276α4180αβ6α2+45β2070α2β+4050β2γβ+a1{Ψ2+Δ2Ψ3tan(Δx2)}+b1{Ψ2+Δ2Ψ3tan(Δ(x+t)2)}1,(67) or (68) w32(x,t)=175Ψ1β48α36α2+45β+276α4180αβ6α2+45β2070α2β+4050β2γβ+a1{Ψ2+Δ2Ψ3cot(Δx2)}+b1{Ψ2+Δ2Ψ3cot(Δ(x+t)2)}1.(68) Strategy (20): When Δ=Ψ224Ψ1Ψ3>0, and Ψ30, the solution of Equation (Equation3) in the form of hyperbolic functions is (69) w33(x,t)=175Ψ1β48α36α2+45β+276α4180αβ6α2+45β2070α2β+4050β2γβ+a1{Ψ2+Δ2Ψ3tanh(Δx2)}+b1{Ψ2+Δ2Ψ3tanh(Δ(x+t)2)}1,(69) or (70) w34(x,t)=175Ψ1β48α36α2+45β+276α4180αβ6α2+45β2070α2β+4050β2γβ+a1{Ψ2+Δ2Ψ3coth(Δx2)}+b1{Ψ2+Δ2Ψ3coth(Δ(x+t)2)}1.(70) Strategy (21): When Δ=Ψ224Ψ1Ψ3=0, and Ψ30, we have the following rational form of the solution; (71) w35(x,t)=175Ψ1β48α36α2+45β+276α4180αβ6α2+45β2070α2β+4050β2γβ+a1{2+βx2Ψ3(x+t)}+b1{2+βx2Ψ3(x+t)}1.(71)

5. Self-adjointness and conservation laws

In this section, we compute the conservation laws for the nonlinear ESE Equation (Equation3) by using the new conservation theorem of Ibragimov [Citation33]. For this purpose, we first consider a nth order PDE (72) E(x,w,w(1),w(2),,w(n))=0,(72) where w=w(x) and x=x(x1,x2,,xm). Also, w(1) and w(n) denote the first and nth derivatives of w.

Theorem 5.1

[Citation33,Citation34]

For a given system (Equation72) along with the adjoint equation (73) E(x,w,v,w(1),v(1),w(2),v(2),w(n),v(n))=0,(73) there exists a formal Lagrangian given by L=vE(x,w,w(1),w(2),,w(n))=0.Moreover, the adjoint Equation (Equation73) is defined by (74) Eδδw(vE),(74) and the operator δδw is known as Euler-Lagrange operator given by (75) δδw=w+i=1(1)sDi1Diswi1is,(75) where Di is a total derivative operator given by (76) Di=xi+wiw+wijwj+.(76)

Definition 5.1

Equation (Equation72) is said to be a strictly self-adjoint if the equation obtained from its adjoint equation with the help of the transformation v = w, is given by (77) E|v=w=μ(x,w,)E,(77) for some xD (D is a particular domain).

Definition 5.2

Equation (Equation72) is said to be a quasi-self-adjoint if the equation obtained from its adjoint equation with the help of the transformation v=v(w)0, is given by (78) E|v=v(w)=μ(x,w,)E,(78) where xD.

Definition 5.3

Equation (Equation72) is said to be a weak self-adjoint if the equation acquired from its adjoint equation under the transformation v=v(x,w)0 for a particular function v such that vw0 and vxi0 for some xi, such that (79) E|v=v(x,w)=μ(x,w,)E,(79) for some xD.

Definition 5.4

Equation (Equation72) is said to be nonlinearly self-adjoint under the substitution v=v(x,w) if the equation obtained from its adjoint equation, with some function such that v(x,w)0, (Equation72) satisfy the condition, (80) E|v=v(x,w)=μ(x,w,)E,(80) for some xD.

It is very important to specify that Equation (Equation72) will be strictly self-adjoint, quasi-self-adjoint, nonlinearly self-adjoint, and weak self-adjoint with some specified conditions and Ibragimov [Citation33–35] gave the idea of first three and Gandarias [Citation36] gives the idea of last one. Here we define the main theorem for the conservation laws.

Theorem 5.2

Let us suppose Lie point, Lie-Backlund, or nonlocal symmetry of (Equation72) is of the form (81) N=ψixi+ηiwi,(81) with a formal Lagrangian L. Conserved vectors for Equations (Equation72) and (Equation73) can be defined as (82) Θxi=ψiL+W[LwiDj(Lwij)+DjDk(Lwijk)+]+Dj(W)[LwijDk(Lwijk)+]+DjDk(W)[Lwijk+],(82) where W is named as the Lie characteristic function and can be obtained from (83) W=ηψiwi,(83) while Di(Θxi)=0 is a conservation law.

5.1. Self-adjoint classification for Equation (eqn3)

This section describes the nonlinear self-adjointness classification of Equation (Equation3). Assume the formal Lagrangian L as (84) L=v[wt+αwwx+βw2wx+γwxxx].(84) Equation (Equation73) yields (85) Eδδw[v(wt+αwwx+βw2wx+γwxxx)]=0,(85) which takes the following form (86) E=vt+αwvx+βw2vx+γvxxx=0.(86) We want an explicit expression of F(x,t,u)0 for Equation (Equation3) that satisfies Equation (Equation86). (87) E|v=F(x,w)=μE.(87) If we choose v=F(x,w), then we arrive at the self-adjoint condition and then follow different monomials as the set {1,w,wt,wx,wwx,w2,w2wx,wx2,wxx} is linearly independent so we come to the condition (88) Fu=μ,Fx=0,Ft=0.(88) We get the following solution of Equation (Equation88) (89) F=C1w+C2.(89) This result leads to the following theorem.

Theorem 5.3

Equation (Equation3) is not weak self-adjoint, quasi-self-adjoint, or strictly self-adjoint. After all, Equation (Equation3) is nonlinearly self-adjoint for v = F where F follows from Equation (Equation89).

5.2. Local conservation laws of Equation (eqn3)

The adjoint equation and the symmetries of Equation (Equation3) are now used to establish the local conservation laws. The adjoint equation for Equation (Equation3) is provided by (90) E=vt+αwvx+βw2vx+γvxxx=0.(90) Moreover, the symmetrized version of the Lagrangian is (91) L=(C1w+C2)[wt+αwwx+βw2wx+γwxxx].(91) The three-dimensional Lie algebra for Equation (Equation3) is given by Equation (Equation10).

For the flux F1=w(wt+αwwx+βw2wx+γwxxx), we have the conserved vectors as follows;

  1. For the symmetry generator 1=t, we have the conserved densities Θ1t=αw2wx+βw3wx+γwwxxx,Θ1x=αw2wtβw3wtγwtwxx+γwxwtxγwwtxx.

  2. For the symmetry generator 2=x, we have the conserved densities Θ2t=wwx,Θ2x=wwt.

  3. For the symmetry generator 3=(α2t2βx)x6βtt+(2βw+α)w, we have the conserved densities Θ3t=6αβtw2wx6β2tw3wx6βγtwwxxx+2βw2+αwα2twwx+2βxwwx,Θ3x=α2twwt+α2βtw3wx2βxwwt+2αβw3+α2w2α2βtw3+6β2tw3wt+8βγwwxx+αγwwx+6βγtwtwxx4βγwx26βγtwxwtx+6βγtwwtxx.

For the flux F2=wt+αwwx+βw2wx+γwxxx, we have the conserved vectors as follows;

  1. For the symmetry generator 1=t, we have the conserved densities Θ4t=αwwx+βw2wx+γwxxx,Θ4x=αwwtγwwtxxβw2wt.

  2. For the symmetry generator 2=x, we have the conserved densities Θ5t=wx,Θ5x=wt.

  3. For the symmetry generator 3=(α2t2βx)x6βtt+(2βw+α)w, we have the conserved densities Θ6t=6αβtwwx6β2tw2wx6βγtwxxx+2βw+αα2twx+2βxwx.Θ6x=α2twt+α3twwx2βxwt+2αβw+α2wα2twwx+6αβtwwt+2β2w3+αβw2+6β2tw2wt+6βγwxx+6βγtwtxx.We note that the conservation laws listed above follow the relation Di(Θxi)=0.

6. Graphical illustrations

The graphical aspects of the physical models help us understand the nature of the model. The solution surface of a model indicates the actual phenomenon which is why the graphical aspects are of more interest. Here we elaborate on the wave nature of some obtained solutions. We plot the solutions w16, w20, w24 and w28 to explain the graphical aspects of the nonlinear ESE Equation (Equation3). In Figure , you can observe the singular periodic solutions, while Figure  illustrates the singular solution. Figure  showcases an optical dark soliton solution, and Figure  portrays a singular soliton solution. Two-dimensional plots at different time steps are plotted. Each plot is drawn with a particular set of parameters. Density plots via Wolfram Mathematica are also included to indicate the behaviour of the variables in the geometric region.

Figure 1. Graphical aspects of singular periodic solution w16 by setting all parameters to unity. (a) 3D plot, (b) 2D plot, (c) density plot and (d) 3D plot.

Figure 1. Graphical aspects of singular periodic solution w16 by setting all parameters to unity. (a) 3D plot, (b) 2D plot, (c) density plot and (d) 3D plot.

Figure 2. Graphical aspects of singular solution w20 by setting all parameters to unity except Ψ2=2. (a) 3D plot, (b) 2D plot, (c) density plot and (d) 3D plot.

Figure 2. Graphical aspects of singular solution w20 by setting all parameters to unity except Ψ2=2. (a) 3D plot, (b) 2D plot, (c) density plot and (d) 3D plot.

Figure 3. Graphical aspects of optical dark soliton solution w28 by setting all parameters to unity except Ψ3=1. (a) 3D plot, (b) 2D plot, (c) density plot and (d) 3D plot.

Figure 3. Graphical aspects of optical dark soliton solution w28 by setting all parameters to unity except Ψ3=−1. (a) 3D plot, (b) 2D plot, (c) density plot and (d) 3D plot.

Figure 4. Graphical aspects of singular soliton solution w29 by setting all parameters to unity except Ψ3=1. (a) 3D plot, (b) 2D plot, (c) density plot and (d) 3D plot.

Figure 4. Graphical aspects of singular soliton solution w29 by setting all parameters to unity except Ψ3=−1. (a) 3D plot, (b) 2D plot, (c) density plot and (d) 3D plot.

7. Concluding remarks

For the nonlinear ESE Equation, the Lie group method was successfully and profitably used to get several periodic wave solutions and numerous soliton solutions. These findings demonstrated that the ESE Equation allows a large number of accurate closed-form solutions with three freely chosen parameters. These free parameters in the derived solutions are determined within the context of deriving the precise solitary wave solutions and several soliton solutions. A variety of nonlinear complicated physical phenomena were manifest in the obtained solutions. In Figures , the representations corresponded to singular periodic solutions, a singular solution, an optical dark soliton solution, and a singular soliton solution. Our obtained solutions are new and novel for the theory of nonlinear ESE Equation. The solitary waves theory and nonlinear wave phenomena benefit from and use these solutions. It is important to note that the implemented approach was created as an effective, promising, and simple mathematical instrument to deal with any NEEs appearing in nonlinear sciences, plasma physics, mathematical physics, fibre optics, and areas of engineering by applying the Lie group method. In our opinion, the many soliton solutions that were discovered should be useful in explaining the complex physical structures that the soliton theory predicts. Through this study, we are motivated to deal with some other NEEs with the same methodology.

Disclosure statement

No potential conflict of interest was reported by the author(s).

References

  • Wazwaz AM. The tanh method: solitons and periodic solutions for the Dodd–Bullough–Mikhailov and the Tzitzeica–Dodd–Bullough equations. Chaos Solitons Fractals. 2005;25(1):55–63. doi: 10.1016/j.chaos.2004.09.122
  • Hussain A, Chahlaoui Y, Zaman FD, et al. The Jacobi elliptic function method and its application for the stochastic NNV system. Alex Eng J. 2023;81:347–359. doi:10.1016/j.aej.2023.09.017
  • He JH. Addendum: new interpretation of homotopy perturbation method. Int J Mod Phys B. 2006;20(18):2561–2568. doi: 10.1142/S0217979206034819
  • Zhao X, Wang L, Sun W. The repeated homogeneous balance method and its applications to nonlinear partial differential equations. Chaos Solitons Fractals. 2006;28(2):448–453. doi: 10.1016/j.chaos.2005.06.001
  • Wazwaz AM. A sine-cosine method for handling nonlinear wave equations. Math Comput Model. 2004;40(5–6):499–508. doi: 10.1016/j.mcm.2003.12.010
  • Jawad AJ, Petković MD, Biswas A. Modified simple equation method for nonlinear evolution equations. Appl Math Comput. 2010;217(2):869–877. doi: 10.1016/j.amc.2010.06.030
  • Usman M, Hussain A, Zaman FD. Invariance analysis of thermophoretic motion equation depicting the wrinkle propagation in substrate-supported Graphene sheets. Phys Scr. 2023;98(9):095205. doi: 10.1088/1402-4896/acea46
  • Zhang JL, Wang ML, Wang YM, et al. The improved F-expansion method and its applications. Phys Lett A. 2006;350(1–2):103–109. doi: 10.1016/j.physleta.2005.10.099
  • Aslan I. The exp-function approach to the Schwarzian Korteweg–de Vries equation. Comput Math Appl. 2010;59(8):2896–2900. doi: 10.1016/j.camwa.2010.02.007
  • Mohanty SK, Kumar S, Dev AN, et al. An efficient technique of (G′/G)-expansion method for modified KdV and Burgers equations with variable coefficients. Results Phys. 2022;37:105504. doi: 10.1016/j.rinp.2022.105504
  • Tanoglu G. Hirota method for solving reaction-diffusion equations with generalized nonlinearity. Int J Nonlinear Sci. 2006;1(1):30–36.
  • Hussain A, Ali H, Zaman F, et al. New closed form solutions of some nonlinear pseudo-parabolic models via a new extended direct algebraic method. Int J Math Comput Eng. 2023;2(1):35–58.
  • Yang JJ, Tian SF, Li ZQ. Riemann-Hilbert problem for the focusing nonlinear Schrödinger equation with multiple high-order poles under nonzero boundary conditions. Physica D. 2022;432:133162. doi: 10.1016/j.physd.2022.133162
  • Ovsiannikov LV. Group analysis of differential equations. Academic Press; 2014.
  • Ibragimov NH. CRC handbook of Lie group analysis of differential equations. Boca Raton, CRC Press; 1995.
  • Bluman G, Anco S. Symmetry and integration methods for differential equations. Springer Science & Business Media, New York; 2008.
  • Olver PJ. Equivalence, invariants and symmetry. Cambridge University Press, Cambridge, New York; 1995.
  • Olver PJ. Applications of Lie groups to differential equations. Springer Science & Business Media; 1993.
  • Stephani H. Differential equations: their solution using symmetries. Cambridge University Press, New York; 1989.
  • Hussain A, Kara AH, Zaman FD. New exact solutions of the Thomas equation using symmetry transformations. Int J Appl Comput Math. 2023;9(5):106. doi: 10.1007/s40819-023-01585-5
  • Wazwaz AM. A two-mode modified KdV equation with multiple soliton solutions. Appl Math Lett. 2017;70:1–6. doi: 10.1016/j.aml.2017.02.015
  • Lax PD. Periodic solutions of the KdV equation. Commun Pure Appl Math. 1975;28(1):141–188. doi: 10.1002/cpa.v28:1
  • Sawada K, Kotera T. A method for finding N-soliton solutions of the KdV equation and KdV-like equation. Prog Theor Phys. 1974;51(5):1355–1367. doi: 10.1143/PTP.51.1355
  • Hussain A, Chahlaoui Y, Usman M, et al. Optimal system and dynamics of optical soliton solutions for the Schamel KdV equation. Sci Rep. 2023;13(1):15383. doi: 10.1038/s41598-023-42477-4
  • Kenig C, Ponce G, Vega L. A bilinear estimate with applications to the KdV equation. J Am Math Soc. 1996;9(2):573–603. doi: 10.1090/jams/1996-9-02
  • Miura RM. Korteweg-de Vries equation and generalizations. I. A remarkable explicit nonlinear transformation. J Math Phys. 1968;9(8):1202–1214. doi: 10.1063/1.1664700
  • Zhang DJ, Zhao SL, Sun YY, et al. Solutions to the modified Korteweg–de Vries equation. Rev Math Phys. 2014;26(07):1430006. doi: 10.1142/S0129055X14300064
  • Ma WX. Complexion solutions to the Korteweg-de Vries equation. Phys Lett A. 2002;301(1–2):35–44. doi: 10.1016/S0375-9601(02)00971-4
  • Kaya D, Aassila M. An application for a generalized KdV equation by the decomposition method. Phys Lett A. 2002;299(2–3):201–206. doi: 10.1016/S0375-9601(02)00652-7
  • Wadati M. The modified Korteweg-de Vries equation. J Phys Soc Japan. 1973;34(5):1289–1296. doi: 10.1143/JPSJ.34.1289
  • Nagatani T. Modified KdV equation for jamming transition in the continuum models of traffic. Physica A. 1998;261(3–4):599–607. doi: 10.1016/S0378-4371(98)00347-1
  • Mahak N, Akram G. The modified auxiliary equation method to investigate solutions of the perturbed nonlinear Schrödinger equation with Kerr law nonlinearity. Optik. 2020;207:164467. doi: 10.1016/j.ijleo.2020.164467
  • Ibragimov NH. Integrating factors, adjoint equations and Lagrangians. J Math Anal Appl. 2006 Jun;318(2):742–757. doi: 10.1016/j.jmaa.2005.11.012
  • Ibragimov NH. Nonlinear self-adjointness and conservation laws. J Phys A. 2011;44(43):432002. doi: 10.1088/1751-8113/44/43/432002
  • Ibragimov NH. A new conservation theorem. J Math Anal Appl. 2007;333(1):311–328. doi: 10.1016/j.jmaa.2006.10.078
  • Gandarias ML. Weak self-adjoint differential equations. J Phys A. 2011;44(26):262001. doi: 10.1088/1751-8113/44/26/262001