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 ()-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 of long surface waves on shallow water, is expressed as follows (1) (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) (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(1) (1) ) and (Equation2(2) (2) ), as expressed by (3) (3) where are parameters of nonlinearity, γ is a dispersion parameter and is the displacement function. Referred to as the nonlinear elastic structural element (ESE) equation, it emerges in elasticity and various other domains. When , Equation (Equation3(3) (3) ) corresponds to the KdV model (Equation1(1) (1) ), and in the case of , it represents the modified KdV model (Equation2(2) (2) ). 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(3) (3) ). 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(3) (3) ).
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) (4) with ς acting as the group parameter. The vector field that corresponds to the transformations mentioned above is defined as (5) (5) Equation (Equation3(3) (3) ) requires the third order prolonged generator given by (6) (6) where , and is a total derivative operator.
Then by invariance condition [Citation15] of Equation (Equation3(3) (3) ) we get (7) (7) Separating different polynomials in w and its derivatives, condition (Equation7(7) (7) ) gives rise to an overdetermined system of PDEs given by (8) (8) The solution of system (Equation8(8) (8) ) provides the infinitesimals given by (9) (9) where are arbitrary constants. From Equation (Equation9(9) (9) ), we get the following three symmetry generators (10) (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 .
Theorem 2.1
[Citation18]
Let be the Lie algebra given in Equation (Equation10(10) (10) ). In this case, the optimal system of subalgebras with only one-dimension can be discovered using the generators listed below. (11) (11)
Proof.
Let us take an arbitrary element We have, (12) (12) where are any real parameters.
Case 1: . Then we have, (13) (13) (14) (14) Hence, we get (15) (15) Case 2: . Then we have, (16) (16) Hence, we get (17) (17) Case 3: . Then we have, (18) (18) Hence, we get (19) (19) Case 4: . Take Then we have, (20) (20) (21) (21) Hence, we get (22) (22)
3. Symmetry reductions via subalgebras
3.1. Reduction by
Through the application of the characteristic approach, we adhere to the characteristic equation relevant to the vector field written as After solving the above-mentioned equation, we acquire the similarity variables . By employing this transformation, it becomes feasible to express the simplified form of Equation (Equation3(3) (3) ) as follows with solution Consequently, the invariant solution of Equation (Equation3(3) (3) ) in the main variables can be expressed as (23) (23)
3.2. Reduction by
Through the application of the characteristic approach, we adhere to the characteristic equation relevant to the vector field written as After solving the above-mentioned equation, we acquire the similarity variables and the reduced ODE becomes (24) (24) Acknowledging the complexity of solving this nonlinear ordinary differential equation, our focus will shift to exploring soliton solutions for the ESE Equation (Equation3(3) (3) ) by examining the corresponding ODE (Equation24(24) (24) ).
3.3. Reduction by
Through the application of the characteristic approach, we adhere to the characteristic equation relevant to the vector field written as After solving the above-mentioned equation, we acquire the similarity variables with reduced ODE given by (25) (25) We only follow the trivial solution of the above ODE. Therefore, we get the solution (26) (26)
3.4. Reduction by
Through the application of the characteristic approach, we adhere to the characteristic equation relevant to the vector field written as After solving the above-mentioned equation, we acquire the similarity variables . By employing this transformation, it becomes feasible to express the simplified form of Equation (Equation3(3) (3) ) as follows (27) (27) Integrating the above equation and taking the constant of integration to be zero (28) (28) We also deal with the solution of this ODE in the next section.
3.5. Reduction by
Through the application of the characteristic approach, we adhere to the characteristic equation relevant to the vector field written as The similarity variables becomes and the reduced ODE is (29) (29) Integrating the above equation and taking the constant of integration to be zero (30) (30) In the next section, we introduce the algorithm for the MAE procedure to deal with the soliton solutions of the governing ODEs (Equation24(24) (24) ), (Equation28(28) (28) ) and (Equation30(30) (30) ).
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(24) (24) ), (Equation28(28) (28) ) and (Equation30(30) (30) ). Here are the main steps of the algorithm.
Step 1: We take into account an NPDE in its basic form (31) (31) Step 2: We use the transform to Equation (Equation31(31) (31) ), to get the following ODE (32) (32) For the MAE procedure, we follow the following ansatz solution (33) (33) where T, , , and are arbitrary constants, and fulfils the auxiliary equation (34) (34) where , , and are arbitrary constants and . The solution of the auxiliary Equation (Equation34(34) (34) ) is given below taking into account different cases.
Case i: If , then Case ii: If , then Case iii: If , and , then 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(31) (31) ), we back substitute the values in Equation (Equation32(32) (32) ) 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(3) (3) ).
4.1. Soliton solutions of the ESE Equation (3)
By using the homogeneous balancing principle on Equation (Equation24(24) (24) ), we get the balancing number . Then by Equation (Equation33(33) (33) ) we get (35) (35) We insert the values of the required expression in Equation (Equation24(24) (24) ) and then apply Equation (Equation34(34) (34) ). Then by comparing different powers of , 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): Inserting back the parameters values of Group 1 to Equation (Equation24(24) (24) ), we get the following categories of the soliton solutions;
Strategy (1): When , and , we have the solution of Equation (Equation3(3) (3) ) in the form of trigonometric functions is (36) (36) or (37) (37) Strategy (2): When , and , the solution of Equation (Equation3(3) (3) ) in the form of hyperbolic functions is (38) (38) or (39) (39) Strategy (3): When , and , we have the following rational form of the solution; (40) (40) Group (2): Inserting back the values of the parameters of Group 2 to Equation (Equation24(24) (24) ), we get the following categories of the soliton solutions;
Strategy (4): When , and , we have the solution of Equation (Equation3(3) (3) ) in the form of trigonometric functions is (41) (41) or (42) (42) Strategy (5): When , and , the solution of Equation (Equation3(3) (3) ) in the form of hyperbolic functions is (43) (43) or (44) (44) Strategy (6): When , and , we have the following rational form of the solution; (45) (45) Group (3): Inserting back the values of parameters of Group 3 to Equation (Equation24(24) (24) ), we get the following categories of the soliton solutions;
Strategy (7): When , and , we have the solution of Equation (Equation3(3) (3) ) in the form of trigonometric functions is (46) (46) or (47) (47) Strategy (8): When , and , the solution of Equation (Equation3(3) (3) ) in the form of hyperbolic functions is (48) (48) or (49) (49) Strategy (9): When , and , we have the following rational form of the solution; (50) (50) Now we apply the algorithm of MAE procedure to the reduced ODE (Equation28(28) (28) ) to obtain the soliton solutions for the nonlinear ESE Equation (Equation3(3) (3) ). By using the homogeneous balancing principle on Equation (Equation28(28) (28) ), we get the balancing number . Then by Equation (Equation33(33) (33) ) we get (51) (51) We insert the values of the required expression in Equation (Equation28(28) (28) ) and then apply Equation (Equation34(34) (34) ). Then by comparing different powers of the , 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): Inserting back the parameters values of Group 1 to Equation (Equation28(28) (28) ), we get the following categories of the soliton solutions;
Strategy (10): When , and , we have the solution of Equation (Equation3(3) (3) ) in the form of trigonometric functions is (52) (52) or (53) (53) Strategy (11): When , and , the solution of Equation (Equation3(3) (3) ) in the form of hyperbolic functions is (54) (54) or (55) (55) Strategy (12): When , and , we have the following rational form of the solution; (56) (56) The second set Group 2 of parameters is given by Inserting back the values of the parameters of Group 2 to Equation (Equation28(28) (28) ), we get the following categories of the soliton solutions;
Strategy (13): When , and , we have the solution of Equation (Equation3(3) (3) ) in the form of trigonometric functions is (57) (57) or (58) (58) Strategy (14): When , and , the solution of Equation (Equation3(3) (3) ) in the form of hyperbolic functions is (59) (59) or (60) (60) Strategy (15): When , and , we have the following rational form of the solution; (61) (61) The third set Group 3 of parameters is Inserting back the values of parameters of Group 3 to Equation (Equation28(28) (28) ), we get the following categories of the soliton solutions;
Strategy (16): When , and , we have the solution of Equation (Equation3(3) (3) ) in the form of trigonometric functions is (62) (62) or (63) (63) Strategy (17): When , and , the solution of Equation (Equation3(3) (3) ) in the form of hyperbolic functions is (64) (64) or (65) (65) Strategy (18): When , and , we have the following rational form of the solution; (66) (66) For the more categories of the soliton solutions, we will now proceed with the MAE procedure to the reduced ODE (Equation30(30) (30) ). We follow the same steps for this ODE (Equation30(30) (30) ) 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 Inserting back the parameters values of Group 1 to Equation (Equation30(30) (30) ), we get the following three categories of the soliton solutions;
Strategy (19): When , and , we have the solution of Equation (Equation3(3) (3) ) in the form of trigonometric functions is (67) (67) or (68) (68) Strategy (20): When , and , the solution of Equation (Equation3(3) (3) ) in the form of hyperbolic functions is (69) (69) or (70) (70) Strategy (21): When , and , we have the following rational form of the solution; (71) (71)
5. Self-adjointness and conservation laws
In this section, we compute the conservation laws for the nonlinear ESE Equation (Equation3(3) (3) ) by using the new conservation theorem of Ibragimov [Citation33]. For this purpose, we first consider a nth order PDE (72) (72) where and . Also, and denote the first and nth derivatives of w.
Theorem 5.1
[Citation33,Citation34]
For a given system (Equation72(72) (72) ) along with the adjoint equation (73) (73) there exists a formal Lagrangian given by Moreover, the adjoint Equation (Equation73(73) (73) ) is defined by (74) (74) and the operator is known as Euler-Lagrange operator given by (75) (75) where is a total derivative operator given by (76) (76)
Definition 5.1
Equation (Equation72(72) (72) ) 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) (77) for some ( is a particular domain).
Definition 5.2
Equation (Equation72(72) (72) ) is said to be a quasi-self-adjoint if the equation obtained from its adjoint equation with the help of the transformation , is given by (78) (78) where .
Definition 5.3
Equation (Equation72(72) (72) ) is said to be a weak self-adjoint if the equation acquired from its adjoint equation under the transformation for a particular function v such that and for some , such that (79) (79) for some .
Definition 5.4
Equation (Equation72(72) (72) ) is said to be nonlinearly self-adjoint under the substitution if the equation obtained from its adjoint equation, with some function such that , (Equation72(72) (72) ) satisfy the condition, (80) (80) for some .
It is very important to specify that Equation (Equation72(72) (72) ) 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(72) (72) ) is of the form (81) (81) with a formal Lagrangian L. Conserved vectors for Equations (Equation72(72) (72) ) and (Equation73(73) (73) ) can be defined as (82) (82) where is named as the Lie characteristic function and can be obtained from (83) (83) while is a conservation law.
5.1. Self-adjoint classification for Equation (eqn3)
This section describes the nonlinear self-adjointness classification of Equation (Equation3(3) (3) ). Assume the formal Lagrangian as (84) (84) Equation (Equation73(73) (73) ) yields (85) (85) which takes the following form (86) (86) We want an explicit expression of for Equation (Equation3(3) (3) ) that satisfies Equation (Equation86(86) (86) ). (87) (87) If we choose , then we arrive at the self-adjoint condition and then follow different monomials as the set is linearly independent so we come to the condition (88) (88) We get the following solution of Equation (Equation88(88) (88) ) (89) (89) This result leads to the following theorem.
Theorem 5.3
Equation (Equation3(3) (3) ) is not weak self-adjoint, quasi-self-adjoint, or strictly self-adjoint. After all, Equation (Equation3(3) (3) ) is nonlinearly self-adjoint for v = F where F follows from Equation (Equation89(89) (89) ).
5.2. Local conservation laws of Equation (eqn3)
The adjoint equation and the symmetries of Equation (Equation3(3) (3) ) are now used to establish the local conservation laws. The adjoint equation for Equation (Equation3(3) (3) ) is provided by (90) (90) Moreover, the symmetrized version of the Lagrangian is (91) (91) The three-dimensional Lie algebra for Equation (Equation3(3) (3) ) is given by Equation (Equation10(10) (10) ).
For the flux , we have the conserved vectors as follows;
For the symmetry generator , we have the conserved densities
For the symmetry generator , we have the conserved densities
For the symmetry generator , we have the conserved densities
For the flux , we have the conserved vectors as follows;
For the symmetry generator , we have the conserved densities
For the symmetry generator , we have the conserved densities
For the symmetry generator , we have the conserved densities We note that the conservation laws listed above follow the relation .
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 , , and to explain the graphical aspects of the nonlinear ESE Equation (Equation3(3) (3) ). 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.
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