Research Article  Open Access
Shahid S. Siddiqi, Muzammal Iftikhar, "Numerical Solution of Higher Order Boundary Value Problems", Abstract and Applied Analysis, vol. 2013, Article ID 427521, 12 pages, 2013. https://doi.org/10.1155/2013/427521
Numerical Solution of Higher Order Boundary Value Problems
Abstract
The aim of this paper is to use the homotopy analysis method (HAM), an approximating technique for solving linear and nonlinear higher order boundary value problems. Using HAM, approximate solutions of seventh, eighth, and tenthorder boundary value problems are developed. This approach provides the solution in terms of a convergent series. Approximate results are given for several examples to illustrate the implementation and accuracy of the method. The results obtained from this method are compared with the exact solutions and other methods (Akram and Rehman (2013), Farajeyan and Maleki (2012), Geng and Li (2009), Golbabai and Javidi (2007), He (2007), Inc and Evans (2004), Lamnii et al. (2008), Siddiqi and Akram (2007), Siddiqi et al. (2012), Siddiqi et al. (2009), Siddiqi and Iftikhar (2013), Siddiqi and Twizell (1996), Siddiqi and Twizell (1998), Torvattanabun and Koonprasert (2010), and Kasi Viswanadham and Raju (2012)) revealing that the present method is more accurate.
1. Introduction
Higher order boundary value problems occur in the study of fluid dynamics, astrophysics, hydrodynamic, hydromagnetic stability, astronomy, beam and long wave theory, induction motors, engineering, and applied physics. The boundary value problems of higher order have been examined due to their mathematical importance and applications in diversified applied sciences.
The seventhorder boundary value problems generally arise in modeling induction motors with two rotor circuits. The induction motor behavior is represented by a fifthorder differential equation model. This model contains two stator state variables, two rotor state variables, and one shaft speed. Normally, two more variables must be added to account for the effects of a second rotor circuit representing deep bars, a starting cage, or rotor distributed parameters. To avoid the computational burden of additional state variables when additional rotor circuits are required, model is often limited to the fifthorder and rotor impedance is algebraically altered as function of rotor speed under the assumption that the frequency of rotor currents depends on rotor speed. This approach is efficient for the steady state response with sinusoidal voltage, but it does not hold up during the transient conditions, when rotor frequency is not a single value. So, the behavior of such models shows up in the seventh order [1].
Chandrasekhar [2] investigated that when an infinite horizontal layer of fluid is heated from below and is subject to rotation, the instability sets in. When this instability sets in as overstability, it is represented by an eighthorder ordinary differential equation. If an infinite horizontal layer of fluid is heated from below, with the assumption that a uniform magnetic field is applied as well across the fluid in the same direction as gravity and the fluid is subject to the action of rotation, the instability sets in. When this instability sets in as ordinary convection, it is modeled by tenthorder boundary value problem.
Siddiqi and Iftikhar used the variation of parameter method for solving the seventhorder boundary value problems in [3]. Liu and Wu [4] give the general differential quadrature rule (GDQR) for the solution of eighthorder differential equation. Explicit weighting coefficients are formulated to implement the GDQR for eighthorder differential equations. Siddiqi and Akram [5] used nonic spline and nonpolynomial spline technique for the numerical solution of eighthorder linear special case boundary value problems. These have also been proven to be second order convergent. Siddiqi and Twizell [6] presented the solution of eighthorder boundary value problem using octic spline. Inc and Evans [7] presented the solutions of eighthorder boundary value problems using Adomian decomposition method. Golbabai and Javidi [8] used homotopy perturbation method (HPM) to solve eighthorder boundary value problems. Recently, Akram and Rehman presented the numerical solution of eighthorder boundary value problems using the reproducing Kernel space method [9]. Geng and Li [10] construct a reproducing Kernel space and solve a class of linear tenthorder boundary value problems using reproducing Kernel method. Siddiqi et al. [11] used the variational iteration technique for the solution of tenthorder boundary value problem. Siddiqi and Akram [12] presented the numerical solutions of the tenthorder linear special case boundary value problems using eleventh degree spline. Siddiqi and Twizell [13] presented the solutions of tenthorder boundary value problems using tenth degree spline, where some unexpected results, for the solution and higher order derivatives, were obtained near the boundaries of the interval. Lamnii et al. [14] developed a spline collocation method using spline interpolants and analyzed theapproximating solutions of some general linear boundary value problems. Domairry and Nadim in [15] compared the HAM and HPM in solving nonlinear heat transfer equation. HAM is employed to compute approximate solution of the system of differential equations governing the problem [16] and also used to detect the fin excellency of convective straight fins with temperaturedependent thermal conductivity in [17]. Moghimi et al. applied HAM to solve MHD JefferyHamel flows in nonparallel walls [18]. Farajeyan and Maleki [19] used nonpolynomial spline in offstep points to solve special tenth order linear boundary value problems. Khan and Hussain in 2011 applied Laplace decomposition method (LDM) to nonlinear Blasius flow equation to obtain series solutions [20]. Khan and Gondal [21] constructed a new method for the solution of Abel’s type singular integral equations. The twostep Laplace decomposition algorithm (TSLDA) makes the calculation much simpler.
Khan et al. [22] proposed a method which efficiently finds exact solution and is used to solve nonlinear Volterra integral equations. Khan et al. [23] proposed the coupling of homotopy perturbation and Laplace transformation for solving system of partial differential equations. Nadeem et al. [24] described the stagnation point flow of a viscous fluid towards a stretching sheet and obtained an analytical solution of the boundary layer equation by HAM.
Recently, Shaban et al. [25] presented modification of the HAM for solving nonlinear boundary value problems. Arqub and ElAjou [26] investigated the accuracy of the HAM for solving the fractional order problem of the spread of a disease in a population. In [27], Russo and Van Gorder discussed the application of HAM to general nonlinear KleinGordon type equations.
In the present paper, the seventh, eighth, and tenthorder boundary value problems are solved using the homotopy analysis method (HAM). The following seventh, eighth, and tenthorder boundary value problems are considered: where for and ; for , and for . ’s and ’s are finite real constants. Also, is a continuous function on .
2. Homotopy Analysis Method
Liao was the first to apply homotopy analysis method (HAM) [28–31]. This is a general analytic approach to get series solutions of nonlinear equations, including algebraic equations, ordinary differential equations, partial differential equations, differentialintegral equations, differentialdifference equation, and coupled equations of them. For a given nonlinear differential equation where is a nonlinear operator and is an unknown function, Liao constructed a one parameter family of equations in the embedding parameter , called the zerothorder deformation equation where is a nonzero auxiliary parameter, is an auxiliary function, is an auxiliary linear operator, is an initial guess, and is an unknown function. The homotopy provides us larger freedom to choose both the auxiliary linear operator and the initial guess than the traditional nonperturbation methods, as pointed out by Liao [29, 31]. At and , we have and , respectively. Thus, as increases from to , the solution varies from the initial guess to the solution . Expanding by Taylor series with respect to , (2) becomes where If the auxiliary linear operator, the initial guess, the auxiliary parameter , and the auxiliary function are properly chosen, series (4) converges at , and then the homotopy series solution mustbe one of solutions of original equations [29]. Here, is governed by a linear differential equation related to the auxiliary linear operator . According to definition (6), the governing equation can be deduced from the zerothorder deformation (4). Define the vector Differentiating equation (3) times with respect to the embedded homotopy parameter , then setting , and then finally dividing them by , the thorder deformation equation is obtained as where Finally, an th order approximate solution is given by To implement the HAM, several numerical examples are considered in the following section.
3. Numerical Examples
Example 1. Consider the following seventhorder boundary value problem:
The exact solution of Example 1 is [3].
Using the HAM (3), the zerothorder deformation is given by
Now, the initial approximation, , is the solution of subject to boundary conditions in (11); that is,
The linear operator normally consists of the homogeneous part of nonlinear operator , whereas parameter and function are introduced in order to optimize the initial guess. Try to choose in such a way that they get a convergent series. Under the rule of solution expression (4), the auxiliary function can be chosen as . In this way, good approximations of such problems can be obtained without having to go up to high order of approximation and without requiring a small parameter.
Hence, the thorder deformation can be given by
where
Now, the solution of the thorder deformation equations (15) and (16) for becomes
Consequently, the first few terms of the homotopy series solution are as follows:
The thorder approximation of can be expressed by
Equation (20) is a family of the approximate solutions to problem (11) in terms of the convergence control parameter .
We choose the value of auxiliary parameter as to ensure that the solution series converges.The errors in absolute values obtained using the present method are compared with those obtained using the variation of parameter method [3] for Example 1 given in Table 1, which shows that the present method is quite accurate. Figures 1 and 2 show the comparison of exact with approximate solution and absolute errors for Example 1 solution respectively.
Convergence Theorem. In this subsection, one proves that if the solution series (6) given by HAM is convergent, it must be an exact solution of the considered problem.
If the series converges, where is governed by (17) under the definitions (15) and (16), it must be an exact solution of problem (11).

Proof. Let the series be convergent. Then, We have Using (22), and applying the operator , we can write using the definition (14), and since , , we have From (15) and (16), the following holds: This completes the proof.
Example 2. The following seventhorder nonlinear boundary value problem is considered:
The exact solution of Example 2 is .
Using the HAM (3), the zerothorder deformation is given by
Now, the initial approximation, , is the solution of subject to boundary conditions in (30); that is,
The linear operator normally consists of the homogeneous part of nonlinear operator , whereas parameter and function are introduced in order to optimize the initial guess. Try to choose in such a way that they get a convergent series. Under the rule of solution expression (4), the auxiliary function can be chosen as . In this way, good approximations of such problems can be obtained without having to go up to high order of approximation and without requiring a small parameter.
Hence, the thorder deformation can be given by
where
Now, the solution of the thorder deformation equations (34) for becomes
Consequently, the first few terms of the homotopy series solution are as follows:
The thorder approximation can be expressed by
Equation (38) is a family of the approximate solutions to problem (12) in terms of the convergence control parameter .
We choose the value of auxiliary parameter as to ensure that the solution series converges.In Table 2, the exact solution and the series solution of Example 2 are compared, which shows that the method is quite accurate. Figure 3 shows the comparison of exact solution with approximate solution, and Figure 4 shows the absolute errors for Example 2.

Example 3. The following seventhorder linear boundary value problem is considered:
The exact solution of Example 3 is [32].
Following the procedure of the previous example, this problem is solved using the convergence control parameter .
The comparison of the absolute errors obtained by the present method and the absolute errors obtained by the method in [32] is given in Table 3, which shows that the present method is quite accurate. In Figure 5, the comparison of exact solution with approximate solution is shown, and Figure 6 shows absolute errors for Example 3.

Example 4. Consider the following eighthorder boundary value problem:
The exact solution of Example 4 is [5, 7, 9].
Using the HAM (3), the zerothorder deformation is given by
Now, the initial approximation, , is the solution of subject to boundary conditions in (40); that is,
The linear operator normally consists of the homogeneous part of nonlinear operator , whereas parameter and function are introduced in order to optimize the initial guess. Try to choose in such a way that they get a convergent series. Under the rule of solution expression (4), the auxiliary function can be chosen as . In this way, good approximations of such problems can be obtained without having to go up to high order of approximation and without requiring a small parameter.
Hence, the thorder deformation can be given by
where
Now, the solution of the thorder deformation equations (44) for becomes
Consequently, the approximations , ,… of the homotopy series solution are obtained.
The th order approximation can be expressed by
Equation (46) is a family of the approximate solutions to problem (14) in terms of the convergence control parameter .
We choose the value of auxiliary parameter as to ensure that the solution series converges.For problem (14), comparison of the results of the present method with the results of Akram and Rehman [9], Inc and Evans [7], and Siddiqi and Akram [5] is shown in Table 4. It is observed that the errors in absolute values of the present method are better. The comparison of exact solution with approximate solution is shown in Figure 7, and absolute errors are shown in Figure 8, respectively.
Example 5. Consider the following boundary value problem:
The exact solution of problem (15) is [5, 6, 9, 14].
Following the procedure of the previous example, this problem is solved using the convergence control parameter as .
It is observed that the maximum absolute error values are better than those of Akram and Rehman [9], Lamnii et al. [14], Siddiqi and Akram [5], and Siddiqi and Twizell [6] as shown in Table 5. The comparison of exact solution with approximate solution is shown in Figure 9, and absolute errors are shown in Figure 10, respectively.
Example 6. Consider the following boundary value problem:
The exact solution of problem (16) is [8, 9, 33, 34].
Following the procedure of the previous example, this problem is solved using the convergence control parameter as .
It is observed that the errors in absolute values are better than those of Akram and Rehman [9], Golbabai and Javidi [8], He [33], and Torvattanabun and Koonprasert [34] as shown in Table 6. Figures 11 and 12 show the comparison of exact solution with approximate solution and absolute errors, respectively.
Example 7. Consider the following tenthorder boundary value problem:
The exact solution of problem (17) is [10–14, 19].
Following the procedure of the previous example, this problem is solved using the convergence control parameter as