Numerical solutions of second order initial value problems of Bratu-type via optimal homotopy asymptotic method ()
1. Introduction
Herişanu et al. [1] proposed a new technique called the optimal homotopy asymptotic method (OHAM). The main advantage of OHAM is that it is reliable and straight forward. Also, the OHAM does not need to worry about
curves as homotopy asymptotic method (HAM). Moreover, the OHAM provides controls the convergence of the series solution and its solution agrees with the exact one at large domains, for more infor- mation see [2] - [6] .
On the other hand, the standard Bratu problem is used in a large variety of applications, such as the fuel ignition model of the theory of thermal combustion, the thermal reaction process model, the Chandrasekhar model of the expansion of the universe, radiative heat transfer, nanotechnology and theory of chemical reaction, for more information see [7] [8] and references therein.
The Bratu initial value problems have been studied extensively because of its mathematical and physical properties. In [9] , Batiha studied a numerical solution of Bratu-type equations by the variational iteration method; Feng et al. [10] considered Bratu’s problems by means of modified homotopy perturbation method; Rashidinia et al. [11] applied Sinc-Galerkin method for numerical solution of the Bratu’s problems; Syam and Hamdan [12] used variational iteration method for numerical solutions of the Bratu-type problems; Wazwaz [13] applied Adomian decomposition method to study the Bratu-type equations.
The main goal of this paper is to extend OHAM method to solve the initial value problems of second order differential equations of Bratu-type. The OHAM is very useful to get an approximate solution of the initial value problems of second order differential equations of Bratu-type. Our numerical examples of OHAM are compared with exact ones.
2. Analysis of OHAM
In this section we start by describing the basic formulation of OHAM, see for example [1] [3] - [5] . Consider the boundary value problem
(2.1)
where
is a given function and
is an unknown function. Here,
,
and
represent a linear operator, a nonlinear operator and a boundary operator, respectively.
By means of OHAM one constructs a homotopy
, which satisfies the following fa- mily of equations
(2.2)
where
is an embedding parameter,
is a non-zero auxiliary function for
and
. It is easy to see that when
and
we have
and
, respectively, where
is obtained from (2.2) for ![]()
(2.3)
Therefore, the unknown function
goes from
to
as
changes from
to
.
In the sequel, we choose auxiliary function
in the form
(2.4)
where
,
, are constants to be determined.
In order to obtain an approximate solution, we expand
,
, in the form of Taylor’s series about
as
(2.5)
Now, substituting by Equation (2.5) into Equation (2.2) and equating the coefficients of like powers of
in the resulting equation, we obtain the governing problem of
, given by Equation (2.3). In addition, the governing problems of
and
are given in the forms
(2.6)
and
(2.7)
respectively. Also, the general governing problems of
are given by
(2.8)
where
is the coefficient of
in the expansion of
about the embedding parameter
:
(2.9)
where
,
, is given by Equation (2.5).
Observe that the convergence of the series (2.5) depends upon the auxiliary constants
,
. If the series (2.5) converges when
, one has
(2.10)
The m-th order approximations are given by
(2.11)
By substituting Equation (2.11) into Equation (2.1), we get the following expression for residual
(2.12)
If
, then
will be the exact solution and this, in general, does not happen especially in nonlinear problems. In order to find the optimal values of
,
, we apply the method of least squares as under
(2.13)
where
and
are numbers properly chosen in the domain of the problem. Next, minimizing
with
![]()
After knowing those constants, the approximate solution of order
is well determined.
3. Numerical Examples
Example 1 Consider the second order initial value problem of Bratu type
(3.1)
The initial value problem (3.1) has
as the exact solution.
Next, we apply the OHAM method to the initial value problem (3.1). We have
,
and
. Therefore, according to the OHAM method,
we have
Problem of zero order:
(3.2)
which has a solution
.
Problem of first order:
(3.3)
Problem (3.3) has a solution
(3.4)
The problem of second order
(3.5)
The solution of Problem (3.5) is given by
(3.6)
Third order problem is
(3.7)
and its solution is given in the form
(3.8)
Finally, fourth order problem is
(3.9)
which has a solution in the form
(3.10)
Now, by using equations (3.4), (3.6), (3.8) and (3.10), the fourth order approximate solution, using OHAM with
, is given by
(3.11)
Next, we follow the procedure presented in Section 2, we obtain the following values of
’s:
,
,
and
(table 1).
![]()
Table 1. Absolute error between the exact solution and approximation solution.
Example 2 In this example, let us consider the Bratu initial value problem
(3.12)
which has
exact solution.
Now, we apply the OHAM method presented in previous section. In this example, we have
,
and
. Now,
Problem of zero order:
(3.13)
Problem (3.13) has a solution
.
Problem of first order:
(3.14)
The solution of Problem (3.14) is given by
(3.15)
The problem of second order
(3.16)
and its solution is given by
(3.17)
Third order problem is
(3.18)
The solution of Problem (3.18) is given by
(3.19)
In the end, the fourth order problem is given by
(3.20)
which has a solution in the form
![]()
Table 2. Absolute error between the exact solution and approximation solution.
(3.21)
Now, by using equations (3.4), (3.6), (3.8) and (3.10), the fourth order approximate solution, using OHAM with
, is given by
(3.22)
Next, we follow the procedure presented in Section 0.2, we obtain the following values of
’s:
,
,
and
(table 2).
4. Final Remarks
Throughout this paper, an technique for obtaining a numerical solution for second order initial value problems of Bratu-type, is optimal homotopy asymptotic method (OHAM). The main advantage of the used technique is achieving high accurate approximate solutions. In the numerical tables and graphics, our numerical results are compared with the exact ones.