Conservation Laws of Some Physical Models via Symbolic Package GeM
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Transcript of Conservation Laws of Some Physical Models via Symbolic Package GeM
Hindawi Publishing CorporationMathematical Problems in EngineeringVolume 2013, Article ID 897912, 7 pageshttp://dx.doi.org/10.1155/2013/897912
Research ArticleConservation Laws of Some Physical Models viaSymbolic Package GeM
Rehana Naz,1 Imran Naeem,2 and M. Danish Khan2
1 Centre for Mathematics and Statistical Sciences, Lahore School of Economics, Lahore 53200, Pakistan2Department of Mathematics, School of Science and Engineering, LUMS, Lahore Cantt 54792, Pakistan
Correspondence should be addressed to Rehana Naz; rehananaz [email protected]
Received 10 May 2013; Accepted 13 June 2013
Academic Editor: Chaudry Masood Khalique
Copyright Β© 2013 Rehana Naz et al. This is an open access article distributed under the Creative Commons Attribution License,which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
We study the conservation laws of evolution equation, lubrication models, sinh-Poisson equation, Kaup-Kupershmidt equation,andmodified Sawada-Kotera equation.The symbolic software GeM (Cheviakov (2007) and (2010)) is used to derive the multipliersand conservation law fluxes. Software GeM is Maple-based package, and it computes conservation laws by direct method and firsthomotopy and second homotopy formulas.
1. Introduction
The study of conservation laws plays a vital role in analysis,solution, and reductions of PDEs. For the PDEs, the con-servation laws are used in wide variety of applications, forexample, inverse scattering transform in soliton solutions [1],bi-Hamiltonian structures and recursion operators [2], Laxoperators [3], and derivation of conserved quantities for jetflows [4].
Different methods have been developed so far for theconstruction of conservation laws and are well documentedin [5β7]. In the last few decades, the researchers focusedon the development of symbolic computational packagesbased on different approaches of conservation laws. Thesepackages work with either Mathematica or Maple. Thedevelopment of symbolic computational packages gives reliefto perform complicated and tedious algebraic computation.Recently, several computational packages have been devel-oped, for example, CONDENS.M by Goktas and Hereman[8], RUDCE by Wolf et al. [9β11], TransPDEDensity.m byAdams and Hereman [12], GeM by Cheviakov [13, 14],Vessiot suite by Anderson and Cheb-Terrab [15], Conserva-tionLawsMD.m by Poole and Hereman [16], and SADE byRocha Filho and Figueiredo [17].
In this paper, we will use GeM package [13] to com-pute the conservation laws for partial differential equations
(PDEs) arising in applications. GeM package works withMaple to obtain the symmetries and conservation laws ofdifferential equations. In symmetry analysis, it first computesthe overdetermined system of determining equations andthen simplifies the system by Rif package routines. Aftersimplification, a Maple command in GeM generates allsymmetry generators of differential equation. In conservationlaws analysis, GeM computes an overdetermined systemof determining equation of conservation law multipliers,and then this system is simplified by Rif package which issolved by using the built-in Maple function pdsolve to getmultipliers. After computing multipliers, the conservationlaws fluxes are derived by one of the following four methods:direct method [18, 19], first homotopy formula [20], secondhomotopy formula [19], and scaling symmetry formula [21].All these four methods have some limitations in their use.The direct method written in GeM [13] is a Maple implemen-tation based on Wolf [11] program in REDUCE. For simplepartial differential equation (PDE) systems and multipliers,direct method is used to calculate fluxes. It is also usedif arbitrary functions are involved. The conservation lawsfluxes for complicated PDEs or multipliers, not involvingarbitrary functions, are established by using first and secondhomotopy formulas. The scaling symmetry method is usedto compute fluxes for the scaling-homogeneous PDEs or/andmultipliers. For the complicated scaling-homogeneous PDEs
2 Mathematical Problems in Engineering
and/or multipliers involving arbitrary functions, this is onlya systematic method for computing fluxes.
The evolution equations are important and arise in manyapplications. We compute the conservation laws of variousnonlinear evolution equations using GeM Maple routines.This includes a (1 + 1)-dimensional evolution equation [22],lubrication models [23], sinh-Poisson equation [24], Kaup-Kupershmidt equation [25], and modified Sawada-Koteraequation [26]. At last, we summarize and discuss our results.
2. Multipliers and Conservation LawsUsing GeM Maple Routines
2.1. Evolution Equation. As a first example, consider thefollowing evolution equation [22]:
π’π‘π‘+ ππ’π₯π₯+ ππ’ + ππ’
3= 0, (1)
where π’(π‘, π₯) and π, π, π are constants. We will explain thisexample in detail along with GeM Maple routines given in[13, 14]. The variables and partial differential equation (PDE)(1) are defined in GeM by the following Maple commands.
With(GeM):gem decl vars(indeps=[t,x], deps=[u(t,x)]);gem decl eqs([diff(u(t,x),t,t)+aβdiff(u(t,x),x,x)+bβu(t,x)+cβu3(t,x)=0],solve for=[diff(u(t,x),t,t)]).
The option solve for is used in the flux-computation routine,and actually it defines a set of leading derivatives the givenPDE systems can be solved for.
Consider multipliers of the form Ξ = Ξ(π‘, π₯, π’, π’π‘, π’π₯). In
GeM, we use the Maple routines,
det eqs:=gem conslaw det eqs([t,x,u(t,x),diff(u(t,x),t),diff(u(t,x),x)]):CL multipliers:=gem conslaw multipliers();simplified eqs:=DEtools[rifsimp](det eqs,CL multipliers,mindim=1),
to obtain the set of determining equations for the multipliersexpressed in the simplified form as
Ξπ₯π₯= 0, Ξ
π’= 0, Ξ
π₯π’π₯
= 0, Ξπ’π₯π’π₯
= 0,
Ξπ‘= βππ’π₯Ξπ₯
π’π‘
,
Ξπ’π‘
=Ξ β π’
π₯Ξπ’π₯
π’π‘
, with π = 0, π = 0, π = 0.
(2)
To solve the system (2), we use the Maple command
multipliers sol:=pdsolve(simplified eqs[Solved]),
and it yields
Ξ (π‘, π₯, π’, π’π‘, π’π₯) = (π3π₯ + π1) π’π‘+ (βπ3ππ‘ + π2) π’π₯, (3)
where π1, π2, π3are arbitrary constants. We obtain three
linearly independent conservation laws, arising from themultipliers
Ξ(1)= π’π‘, Ξ
(2)= π’π₯, Ξ
(3)= π₯π’π‘β ππ‘π’π₯. (4)
Next step is the derivation of conservation laws associatedwith multipliers given in (4). The Maple command
gem get CL fluxes(multipliers sol)computes the flux expressions by the direct method. Forthe multipliers (4), we have the following conservation lawsfluxes:
π(1)=1
2π’2
π‘β1
2ππ’2
π₯+1
4ππ’4+1
2ππ’2, π
(1)= ππ’π₯π’π‘,
π(2)= π’π‘π’π₯+ ππ‘π’π’
π₯+ ππ‘π’3π’π₯,
π(2)= β1
2π’2
π‘β ππ‘π’3π’π‘β ππ‘π’π’
π‘+1
2ππ’2
π₯,
π(3)= β1
2ππ₯π’2
π₯β ππ‘π’π‘π’π₯+1
2π₯π’2
π‘+1
4ππ₯π’4+1
2ππ₯π’2,
π(3)= β1
4πππ‘π’4β1
2πππ‘π’2+1
2ππ‘π’2
π‘+ ππ₯π’
π₯π’π‘β1
2π2π‘π’2
π₯.
(5)
The multipliers given in (4) do not involve arbitrary func-tions, so homotopy formulas can be used to compute fluxes.We call the routine for first homotopy method
gem get CL fluxes(multipliers sol,method=βHomotopy1β)
to get the following expressions for conservation law fluxes:
π(1)=1
4ππ’4+1
2π’2
π‘+1
2ππ’π’π₯π₯+1
2ππ’2,
π(1)= β1
2ππ’π’π‘π₯+1
2ππ’π₯π’π‘,
π(2)= β1
2π’π’π‘π₯+1
2π’π‘π’π₯,
π(2)=1
4ππ’4+1
2ππ’2
π₯+1
2π’π’π‘π‘+1
2ππ’2,
π(3)=1
4ππ’4π₯ +1
2ππ’π’π₯+1
2ππ‘π’π’π‘π₯β1
2ππ‘π’π‘π’π₯
+1
2π₯π’2
π‘+1
2ππ₯π’π’π₯π₯+1
2ππ₯π’2,
π(3)= β1
4πππ‘π’4β1
2ππ’π’π‘β1
2ππ₯π’π’π‘π₯β1
2π2π‘π’2
π₯
+1
2ππ₯π’π‘π’π₯β1
2ππ‘π’π’π‘π‘β1
2πππ‘π’2.
(6)
For second homotopy formula, the Maple commandgem get CL fluxes(multipliers sol,method=βHomotopy2β)
yields divergence expressions in the same form as in (6).
Mathematical Problems in Engineering 3
Table 1: Multipliers and conserved vectors for PDE (14).
Multiplier Fluxes
Ξ(1) = π’π‘
π(1)= π2+1
2π’π’π₯π₯+1
2π’π’π§π§β1
2π’2
π‘β π2 cosh π’
π(1) = β1
2π’π’π‘π₯+1
2π’π‘π’π₯
π(1) = β1
2π’π’π‘π§+1
2π’π‘π’π§
Ξ(2) = π’π₯
π(2)=1
2π’π’π‘π₯β1
2π’π‘π’π₯
π(2)= π2+1
2π’π’π§π§+1
2π’2
π₯β π2 cosh π’ β 1
2π’π’π‘π‘
π(2) = β1
2π’π’π₯π§+1
2π’π₯π’π§
Ξ(3) = π’π§
π(3)=1
2π’π’π‘π§β1
2π’π‘π’π§
π(3) = β1
2π’π’π₯π§+1
2π’π₯π’π§
π(3) = π2 +1
2π’π’π₯π₯+1
2π’2π§β π2 cosh π’ β 1
2π’π’π‘π‘
Ξ(4) = π₯π’π‘+ π‘π’π₯
π(4)=1
2π’π’π₯β1
2π₯π’2
π‘+1
2π‘π’π’π‘π₯β1
2π‘π’π‘π’π₯+1
2π₯π’π’π§π§+1
2π₯π’π’π₯π₯β π2π₯ cosh π’ + π2π₯
π(4)= β1
2π₯π’π’π‘π₯β1
2π‘π’π’π‘π‘+1
2π₯π’π₯π’π‘+1
2π‘π’π’π§π§+ π2π‘ β π2π‘ cosh π’ β 1
2π’π’π‘+1
2π‘π’2
π₯
π(4)= β1
2π₯π’π’π‘π§+1
2π₯π’π‘π’π§β1
2π‘π’π’π₯π§+1
2π‘π’π₯π’π§
Ξ(5)= βπ§π’
π₯+ π₯π’π§
π(5) =1
2π§π’π’π‘π₯+1
2π₯π’π’π‘π§+1
2π§π’π‘π’π₯β1
2π₯π’π‘π’π§
π(5)= β1
2π’π’π§β1
2π§π’π’π§π§β1
2π₯π’π’π₯π§+1
2π§π’π’π‘π‘β1
2π§π’2
π₯+1
2π₯π’π₯π’π§β π2π§ + π2π§ cosh π’
π(5)=1
2π’π’π₯+1
2π₯π’π’π₯π₯β π2π₯ cosh π’ + 1
2π₯π’2
π§+1
2π§π’π’π₯π§β1
2π§π’π§π’π₯β1
2π₯π’π’π‘π‘+ π2π₯
Ξ(6)= π‘π’π§+ π§π’π‘
π(6) =1
2π’π’π§β1
2π§π’2π‘+1
2π‘π’π’π‘π§β1
2π‘π’π‘π’π§+1
2π§π’π’π§π§+1
2π§π’π’π₯π₯+ π2π§ β π2π§ cosh π’
π(6) = β1
2π§π’π’π‘π₯+1
2π§π’π‘π’π₯β1
2π‘π’π’π₯π§+1
2π‘π’π₯π’π§
π(6) = β1
2π‘π’π’π‘π‘+ π2π‘ β π‘π2 cosh π’ β 1
2π’π’π‘+1
2π‘π’2π§β1
2π§π’π’π‘π§+1
2π§π’π§π’π‘+1
2π‘π’π’π₯π₯
The PDE (1) has no scaling symmetry; therefore, we can-not apply the scaling symmetry formula here for derivationof fluxes.
2.2. Lubrication Models. Now we will study two lubricationmodels for conservation laws point of view. Gandarias andMedina [23] performed the symmetry analysis of lubricationmodel
π’π‘= π (π’) π’
π₯π₯π₯π₯, (7)
where π is an arbitrary function. For π(π’) = π(π’ + π)π andπ(π’) = πΎππΌπ’, this equation has some extra symmetry [23].Without loss of generality, take π(π’) = π’ + π in (7); we have
π’π‘= (π’ + π) π’
π₯π₯π₯π₯, (8)
where π is arbitrary constant. Consider themultipliers of formΞ(π‘, π₯, π’) in GeM Maple routines, and then we obtain thefollowing four multipliers:
Ξ(1)(π‘, π₯, π’) =
1
(π’ + π), Ξ
(2)(π‘, π₯, π’) =
π₯
(π’ + π),
Ξ(3)(π‘, π₯, π’) =
π₯2
2 (π’ + π), Ξ
(4)(π‘, π₯, π’) =
π₯3
6 (π’ + π).
(9)
The fluxes associated with the multipliers given in (7) arecomputed by homotopy first method and are given by
π(1)= ln(π’ + π
π) , π
(1)= π’π₯π₯π₯,
π(2)= π₯ ln(π’ + π
π) , π
(2)= βπ’π₯π₯+ π₯π’π₯π₯π₯,
π(3)=1
2π₯2 ln(π’ + ππ) , π
(3)= π’π₯β π₯π’π₯π₯+π₯2π’π₯π₯π₯
2,
4 Mathematical Problems in Engineering
Table 2: Multipliers and conserved vectors for PDE (15).
Multiplier Fluxes
Ξ(1) = 1π(1)= π’
π(1) = βπ’π₯π₯π₯π₯β5
3π’3 β 5π’π’
π₯π₯β15
4π’2π₯
Ξ(2) = 2π’2 + π’π₯π₯
π(2) =2
3π’3 +1
2π’π’π₯π₯
π(2) = 4π’π’π₯π’π₯π₯π₯+1
2π’π‘π’π₯β 4π’2π₯π’π₯π₯β9
2π’π’2π₯π₯+1
2π’2π₯π₯π₯β 2π’2π’
π₯π₯π₯π₯β π’π₯π₯π’π₯π₯π₯π₯β1
2π’π’π‘π₯β 10π’3π’
π₯π₯β 2π’5
Ξ(3) = π₯ + 5π‘π’2 +5
2π‘π’π₯π₯
π(3)=5
3π‘π’3+5
4π’π’π₯π₯+ π₯π’
π(3) = π’π₯π₯π₯β π₯π’π₯π₯π₯π₯+5
4π‘π’2π₯π₯π₯β5
4π‘π’π’π‘π₯β 5π‘π’2π’
π₯π₯π₯π₯β5
2π‘π’π₯π₯π’π₯π₯π₯π₯+ 10π‘π’π’
π₯π’π₯π₯π₯+5
4π‘π’π‘π’π₯β5
3π₯π’3
β5π‘π’5β15
4π₯π’4
π₯β 10π‘π’
2
π₯π’π₯π₯β45
4π‘π’π’2
π₯π₯β 5π₯π’π’
π₯π₯β 25π‘π’
3π’π₯π₯+15
4π’π’π₯
Ξ(4) = π’π’π₯π₯+1
2π’2π₯+1
6π’π₯π₯π₯π₯+4
9π’3
π(4) =1
9π’4 +1
3π’2π’π₯π₯+1
6π’π’2π₯+1
12π’π’π₯π₯π₯π₯
π(4) = β5
6π’3π’2π₯+1
12π’π’2π₯π₯π₯β10
27π’6 β11
16π’4π₯β1
12π’2π₯π₯π₯π₯β1
12π’π’π‘π₯π₯π₯+1
12π’π₯π’π‘π₯π₯β1
2π’2π₯π’π₯π₯π₯π₯
β1
12π’π‘π₯π’π₯π₯+ π’π’π₯π₯π’π₯π₯π₯π₯+1
12π’π‘π’π₯π₯π₯β1
3π’2π’π‘π₯β1
12π’π₯π’π₯π₯π’π₯π₯π₯+1
3π’π’π‘π’π₯+1
36π’3π₯π₯
β11
4π’2π’2
π₯π₯β20
9π’4π’π₯π₯β4
9π’3π’π₯π₯π₯π₯β7
2π’π’2
π₯π’π₯π₯+1
2π’2π’π₯π’π₯π₯π₯
π(4)=1
6π₯3 ln(π’ + ππ) ,
π(4)= βπ’ + π₯π’
π₯βπ₯2π’π₯π₯
2+π₯3π’π₯π₯π₯
6.
(10)We will get the same fluxes for (7) if we define higher ordermultipliers in GeMMaple routines.
Another interesting lubrication model is
π’π‘+π’π₯π₯π₯π₯
ππ’= 0. (11)
It is obtained by taking π(π’) = πβπ’ in (7). The GeM Mapleroutines yield the following fourmultipliers of formΞ(π‘, π₯, π’):
Ξ(1)(π‘, π₯, π’) = π
π’, Ξ
(2)(π‘, π₯, π’) = π₯π
π’,
Ξ(3)(π‘, π₯, π’) =
1
2π₯2ππ’, Ξ
(4)(π‘, π₯, π’) =
1
6π₯3ππ’.
(12)
The corresponding fluxes obtained by homotopy firstmethod are
π(1)= β1 + π
π’, π
(1)= π’π₯π₯π₯,
π(2)= π₯ (β1 + π
π’) , π
(2)= βπ’π₯π₯+ π₯π’π₯π₯π₯,
π(3)=1
2π₯2(β1 + π
2) , π
(3)= π’π₯β π₯π’π₯π₯+π₯2π’π₯π₯π₯
2,
π(4)=1
6π₯3(β1 + π
π’) ,
π(4)= βπ’ + π₯π’
π₯βπ₯2π’π₯π₯
2+π₯3π’π₯π₯π₯
6.
(13)
The conservation laws fluxes derived here can be used to findthe solution of lubrication models and will be considered infuture work.
2.3. sinh-Poisson Equation. The (2 + 1)-dimensional sinh-Poisson equation is [24]
π’π₯π₯+ π’π§π§β π’π‘π‘= π2 sinh π’, (14)
where π’(π‘, π₯, π§). The conservation laws for PDE (14) arederived here by usingGeM routines. Consider themultipliersof formΞ(π‘, π₯, π’, π’
π‘, π’π₯, π’π§) in GeM routines, then it will yield
six multipliers not containing any arbitrary function. Theexpression for fluxes is computed by using first homotopyformula. The multipliers and associated conserved vectorscomputed by first homotopy formula are given in Table 1.
2.4. Kaup-Kupershmidt Equation. Now, we will compute theconservation laws for the fifth order Kaup-Kupershmidt [25]:
π’π‘= π’π₯π₯π₯π₯π₯+ 5π’π’
π₯π₯π₯+25
2π’π₯π’π₯π₯+ 5π’2π’π₯. (15)
The GeM Maple routines yield three multipliers of theform Ξ(π‘, π₯, π’, π’
π‘, π’π₯, π’π₯π₯) for PDE (14). The first homo-
topy formula is applied to derive the expressions for con-servation laws fluxes. One more multiplier can be com-puted if we consider higher order multipliers of the formΞ(π‘, π₯, π’, π’
π‘, π’π₯, π’π₯π₯, π’π₯π₯π₯, π’π₯π₯π₯π₯). All themultipliers and asso-
ciated conserved vectors for PDE (14) computed by firsthomotopy formula are presented in Table 2.
Mathematical Problems in Engineering 5
Table 3: Multipliers and conserved vectors for PDE (16).
Multiplier Fluxes
Ξ(1) = 1 π(1)= π’, π(1) = 5π’
π₯π’π₯π₯β π’π₯π₯π₯π₯+ 5π’2π’π₯π₯+ 5π’π’
2
π₯β π’5
Ξ(2) = π’π(2)=1
2π’2,
π(2)= 5π’π’
π₯π’π₯π₯β1
2π’2
π₯π₯+ π’π₯π’π₯π₯π₯β5
3π’3
π₯+5
2π’2π’2
π₯+ 5π’3π’π₯π₯β5
6π’6β π’π’π₯π₯π₯π₯
Ξ(3) = π’5 + π’π₯π₯π₯π₯β 5π’π₯π’π₯π₯
β5π’2π’π₯π₯β 5π’π’2
π₯
π(3)=1
6π’6β5
4π’3π’π₯π₯β5
3π’π’π₯π’π₯π₯+1
2π’π’π₯π₯π₯π₯
π(3) = β1
2π’2π₯π₯π₯π₯β1
2π’10 β 25π’π’3
π₯π’π₯π₯β25
2π’2π₯π’2π₯π₯β25
2π’2π’4π₯+1
2π’π‘π’π₯π₯π₯
β5
3π’π‘π’2
π₯β5
4π’2π’π‘π’π₯β π’5π’π₯π₯π₯π₯+5
3π’π’π₯π’π‘π₯β 25π’
3π’2
π₯π’π₯π₯+ 5π’5π’π₯π’π₯π₯
+5π’2π’π₯π₯π’π₯π₯π₯π₯+ 5π’π’2
π₯π’π₯π₯π₯π₯β1
2π’π’π‘π₯π₯π₯+5
4π’3π’π‘π₯+ 5π’7π’
π₯π₯+ 5π’6π’2
π₯
+5π’π₯π’π₯π₯π’π₯π₯π₯π₯β 25π’2π’
π₯π’2π₯π₯+1
2π’π₯π’π‘π₯π₯β1
2π’π‘π₯π’π₯π₯β25
2π’4π’2π₯π₯
Ξ(4) = 5π‘π’2π’π₯π₯β 25π‘π’2π’
π₯π₯+ π₯π’
β25π‘π’π₯π’π₯π₯+ 5π‘π’
π₯π₯π₯π₯
π(4) =1
6π‘π’6 β25
4π‘π’2π’2π₯β25
4π‘π’3π’π₯π₯β25
3π‘π’π’π₯π’π₯π₯+5
2π‘π’π’π₯π₯π₯π₯+1
2π₯π’2
π(4)= β25
4π‘π’π‘π’π₯+5
4π’3π’π₯β 5π‘π’
5π’π₯π₯π₯π₯+1
2π’π₯π’π₯π₯+ 25π‘π’π’
2
π₯π’π₯π₯π₯π₯+ 25π‘π’
2π’π₯π₯π’π₯π₯π₯π₯+ 5π₯π’π’
π₯π’π₯π₯
β125π‘π’3π’2π₯π’π₯π₯β 125π‘π’2π’
π₯π’2π₯π₯β 125π‘π’π’3
π₯π’π₯π₯β1
2π₯π’2π₯π₯β5
6π₯π’6 β5
2π‘π’2π₯π₯π₯π₯β5
3π₯π’3π₯+5
3π’π’2π₯
β3
2π’π’π₯π₯π₯+ 25π‘π’5π’
π₯π’π₯π₯+ 25π‘π’
π₯π’π₯π₯π’π₯π₯π₯π₯β5
2π‘π’10 β125
2π‘π’2π₯π’2π₯π₯β25
3π‘π’π‘π’2π₯+5
2π‘π’π‘π’π₯π₯π₯
+5
2π‘π’π₯π’π‘π₯π₯+ 25π‘π’
6π’2
π₯+ 25π‘π’
7π’π₯π₯β5
2π‘π’π‘π₯π’π₯π₯β5
2π‘π’π’π‘π₯π₯π₯+25
4π‘π’3π’π‘π₯
+π₯π’π₯π’π₯π₯π₯+ 5π₯π’3π’
π₯π₯β π₯π’π’
π₯π₯π₯π₯β125
2π‘π’4π’π₯π₯β125
2π‘π’2π’4π₯+5
2π₯π’2π’2π₯+25
3π‘π’π’π₯π’π‘π₯
Ξ(5) = β4
3π’7 + 9π’4π’
π₯π₯+ 8π’3π’2
π₯
β2π’2π’π₯π₯π₯π₯+ 14π’
2π’π₯π’π₯π₯β π’π’2
π₯π₯
+2π’π’π₯π’π₯π₯+28
3π’π’3π₯+ 7π’2π₯π’π₯π₯
+π’π₯π₯π’π₯π₯π₯β 2π’π₯π’π₯π₯π₯π₯+ π’π‘π₯
π(5)= β1
6π’8+1
2π’4π’2
π₯+3
2π’5π’π₯π₯+14
5π’3π’π₯π’π₯π₯+28
15π’2π’3
π₯+5
4π’4
π₯
+27
4π’π’2π₯π’π₯π₯+7
4π’2π’π₯π’π₯π₯π₯β1
4π’2π’π₯π₯β1
2π’3π’π₯π₯π₯π₯+1
3π’π’π₯π₯π’π₯π₯π₯
β2
3π’π’π₯π’π₯π₯π₯π₯+5
3π’π₯π’2π₯π₯+5
3π’2π₯π’π₯π₯π₯+1
2π’π’π‘π₯+1
2π’π‘π’π₯β1
2π’π₯π’π₯π₯π₯π₯π₯
π(5) =2
3π’π’π‘π₯π’π₯π₯π₯+1
3π’3π₯π₯π₯+19
18π’6π₯+1
2π’4π₯π₯β 8π’3π’2
π₯π’π₯π₯π₯π₯β π’π₯π₯π’π₯π₯π₯π’π₯π₯π₯π₯
β9π’4π’π₯π₯π’π₯π₯π₯π₯β 7π’2
π₯π’π₯π₯π’π₯π₯π₯π₯+140
3π’3π’3
π₯π’π₯π₯β20
3π’7π’π₯π’π₯π₯β28
3π’π’3
π₯π’π₯π₯π₯π₯
+π’π’2π₯π₯π’π₯π₯π₯π₯+1
4π’π‘π’3π₯+ 16π’π’2
π₯π’π₯π₯π’π₯π₯π₯+ 12π’3π’
π₯π’π₯π₯π’π₯π₯π₯+1
2π’π₯π’π‘π₯π₯π₯π₯β 2π’π’
π₯π’π₯π₯π₯π’π₯π₯π₯π₯
β14π’2π’π₯π’π₯π₯π’π₯π₯π₯π₯β13
4π’2π’π₯π’π‘π₯π₯β1
2π’2π’π‘π’π₯π₯π₯+133
6π’6π’2π₯π₯+ 10π’4π’4
π₯β7
3π’2π₯π’π‘π₯π₯
+π’π‘π’2
π₯π₯β1
2π’π₯π₯π’π‘π₯π₯π₯+1
2π’π‘π₯π₯π’π₯π₯π₯β1
2π’π‘π₯π’π₯π₯π₯π₯β π’π’π₯π₯π’π‘π₯π₯+86
3π’π’π₯π₯π’4
π₯+ 14π’
2π’3
π₯π’π₯π₯π₯
+3π’π₯π’2
π₯π₯π’π₯π₯π₯β 5π’π’
π₯π’3
π₯π₯+ 4π’2π’2
π₯π₯π’π₯π₯π₯+ 45π’
4π’π₯π’2
π₯π₯β 3π’2π’π₯π’π₯π₯π₯+ 10π’
4π’2
π₯π’π₯π₯π₯
+67
2π’2π’2π₯π’2π₯π₯β3
2π’5π’π‘π₯+3
2π’4π’π‘π’π₯β1
4π’π’2π₯π’π‘π₯+4
3π’7π’π₯π₯π₯π₯β20
3π’9π’π₯π₯
+15
4π’2π’π‘π₯π’π₯π₯β35
6π’8π’2
π₯β1
2π’π’π‘π‘+1
2π’3π’π‘π₯π₯π₯+5
9π’12 β1
2π’π’π‘π’π₯π’π₯π₯+ 26π’
5π’2
π₯π’π₯π₯
+2
3π’6π’π₯π’π₯π₯π₯+ π’π₯π’2π₯π₯π₯π₯+ π’2π’2
π₯π₯π₯π₯β17
3π’3π’3π₯π₯+70
3π’2π’5π₯β70
9π’6π’3π₯β1
2π’2π₯π’2π₯π₯π₯
β1
2π’4π’2π₯π₯π₯+40
3π’3π₯π’2π₯π₯β2
3π’4π₯π’π₯π₯π₯+7
3π’π₯π’π‘π₯π’π₯π₯
+14
5π’π‘π’2π’2
π₯β4
3π’π‘π’π₯π’π₯π₯π₯+2
3π’π’π₯π’π‘π₯π₯π₯β14
5π’3π’π₯π’π‘π₯
6 Mathematical Problems in Engineering
2.5. Modified Sawada-Kotera Equation. Consider the fifthorder modified SK equation:
π’π‘= π’π₯π₯π₯π₯π₯β (5π’
π₯π’π₯π₯+ 5π’π’
2
π₯+ 5π’2π’π₯π₯β π’5)π₯. (16)
For PDE (16), two conserved densities were derived byfirst computing Lax pair (see [26]). The higher orderconservation laws fluxes exist for higher order multipliersand are not reported in [26]. Consider the multipliers ofform Ξ(π‘, π₯, π’, π’
π‘, π’π₯, π’π‘π‘, π’π‘π₯, π’π₯π₯, π’π₯π₯π₯, π’π₯π₯π₯π₯) in GeM rou-
tines, then it will yield two simple and three higher ordermultipliers not containing any arbitrary function.The simplemultipliers yield same fluxes as derived in [26], and threenew fluxes corresponding to higher order multipliers arecomputed. The multipliers and associated conserved vectorscomputed by first homotopy formula are listed in Table 3.
3. Conclusions
The conservation laws for the evolution equation, Benjaminequation, lubrication models, sinh-Poisson equation, Kaup-Kupershmidt equation, and modified Sawada-Kotera equa-tion were derived by using the symbolic software GeM.First of all, we considered the evolution equation, and thecommands for all GeMMaple routines, were explicitly given.The first order multipliers were defined in GeM Mapleroutines and threemultipliers were obtained.The expressionsfor fluxes were computed by direct method and first andsecond homotopy formulas and equivalent expressions forfluxes were obtained. The scaling symmetry method wasnot applicable here as no scaling symmetry exists for thenonlinear evolution equation. The conservation laws fluxesfor the lubrication models, sinh-Poisson equation, Kaup-Kupershmidt equation, and modified Sawada-Kotera equa-tion were derived by the first homotopy formula. For themodified Sawada-Kotera equation, three new fluxes werederived.
The fluxes derived here can be used in constructing thesolutions of underlying PDEs and will be considered in thefuture work.
Conflict of Interests
The authors declare that there is no conflict of interests.
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