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Original Article
23 (
1
); 111-114
doi:
10.1016/j.jksus.2010.06.017

Solving two-dimensional integral equations

Islamic Azad University Gonbad Kavos Branch, Gonbad, Iran
Islamic Azad University Azadshahr Branch, Azadshahr, Iran
Industrial Management Institute, Gorgan, Iran

*Corresponding author. Tel.: +98 1653457893 sousaraie@yahoo.com (A. Sousaraie)

Disclaimer:
This article was originally published by Elsevier and was migrated to Scientific Scholar after the change of Publisher.

Available online 30 June 2010

Abstract

This paper applies the homotopy analysis method proposed by Liao to obtain approximate analytic solutions for integral equations of two-dimensional. Some examples are presented to show the ability of the method for integral equations of two-dimensional. The results reveal that the method is very effective and simple.

Keywords

Homotopy analysis method
two-dimensional integral equations
1

1 Introduction

Homotopy analysis method (HAM), first proposed by Liao (1992). HAM properly overcomes restrictions of perturbation techniques because it does not need any small or large parameters to be contained in the problem. Liao, in his book (Liao, 2003a), proves that this method is a generalization of some previously used techniques such as d-expansion method, artificial small parameter method and ADM. This method has proven to be very effective and result in considerable saving in computation time (Liao, 1995, 2003b,c, 2004; Liao and Chwang, 1998; Sami et al., 2008; Abbasbandy, 2007).

2

2 Analysis of the method

Consider the following linear integral equation of two-dimensional u ( x , y ) = f ( x , y ) + c y a b k ( x , y , s , t ) u ( s , t ) dsdt .

To illustrate the homotopy analysis method, we consider

(1)
N [ u ( x , y ) ] = u ( x , y ) - f ( x , y ) - c y a b k ( x , y , s , t ) u ( s , t ) dsdt = 0 , where u ( x , y ) is an unknown function, respectively. By means of generalizing the traditional homotopy method, Liao (2003a) constructs the so-called zeroth-order deformation equation
(2)
( 1 - p ) L ( φ ( r , t ; p ) - u 0 ( x , y ) ) = p H ( r , t ) N ( r , t ; p ) ,
where p [ 0 , 1 ] is the embedding parameter, is a nonzero auxiliary parameter, H ( x , y ) 0 is nonzero auxiliary function, L is an auxiliary linear operator, u 0 ( x , y ) = f ( x , y ) and u ( x , y ; p ) is a unknown function, respectively It is important that one has great freedom to choose auxiliary parameter in HAM. If p = 0 and 1, it holds
(3)
φ ( x , y ; 0 ) = u 0 ( x , y ) = f ( x , y ) , φ ( x , y ; 1 ) = u ( x , y ) .

Thus, as p increases from 0 to 1, the solution φ ( r , t ; p ) varies from the initial guesses u 0 ( r , t ) to the solution u ( r , t ) . Expanding φ ( r , t ; p ) , in Taylor series with respect to p, we have

(4)
φ ( x , y ; p ) = f ( x , y ) + m = 1 u m ( x , y ) p m , where
(5)
u m ( x , y ) = 1 m ! m φ ( x , y ; p ) p m p = 0 .

If the auxiliary linear operator, the initial guess, the auxiliary parameter , and the auxiliary function are so properly chosen, the series (4) converges at p = 1, then we have

(6)
u ( x , y ) = f ( x , y ) + m = 1 u m ( r , t ) .

Define the vector u n = { u 0 = f , u 1 , u n } . Differentiating Eq. (2) m times with respect to the embedding parameter p and then setting p = 0 and finally dividing them by m ! , we obtain the mth-order deformation equation

(7)
L [ u m - χ m u m - 1 ] = H ( x , y ) R m ( u m - 1 ) , where
(8)
R m ( u m - 1 ) = 1 ( m - 1 ) ! m - 1 N ( x , y ; p ) p m - 1 ,
and
(9)
χ m = 0 m 1 , 1 m > 1 .

Applying L - 1 on both side of Eq. (7), we get

(10)
u m ( x , y ) = χ m u m - 1 ( x , y ) + L - 1 [ H ( x , y ) R m ( u m - 1 ) ] .

In this way, it is easily to obtain u m form m 1 , at Mth-order, we have

(11)
u ( x , y ) = m = 0 M u m ( x , y ) .

When M we get an accurate approximation of the original Eq. (1). For the convergence of the above method we refer the reader to Liao (2003a).

3

3 Numerical example

Example 1

Consider the following linear Volterra–Fredholm equation

(12)
u ( x , y ) = f ( x , y ) + - 1 y - 1 1 xys 2 t 2 u ( s , t ) dsdt , where f ( x , y ) = x 2 - 13 15 xy - 2 15 xy 4 , with the exact solution u ( x , y ) = x 2 + xy .

To solve the Eq. (12) by means of homotopy analysis method we choose

(13)
φ 0 ( x , y ) = f ( x , y ) .

We now define a nonlinear operator as N [ u ( x , y ) ] = φ ( x , y ; p ) - f ( x , y ) - - 1 y - 1 1 φ ( x , y ; p ) dsdt .

Using above definition, with assumption H ( x , t ) = 1 . We construct the zeroth-order deformation equation ( 1 - p ) L ( φ ( x , t ; p ) - u 0 ( x , t ) ) = p N ( φ ( x , t ; p ) ) , obviously, when p = 0 and 1, φ ( x , t ; 0 ) = u 0 ( x , t ) , φ ( x , t ; 0 ) = u ( x , t ) .

Thus, we obtain the mth-order deformation equations

(14)
L [ u m - χ m u m - 1 ] = R m ( u m - 1 ) , where R m ( u m - 1 ) = u m - 1 ( x , y ) - - 1 y - 1 1 xys 2 t 2 u m - 1 ( s , t ) dsdt .

Now, the solution of the mth-order order deformation Eq. (14)

(15)
u m ( x , t ) = χ m u m - 1 ( x , t ) + L - 1 [ R m ( u m - 1 ) ] .

Finally, we have u ( x , t ) = u 0 ( x , t ) + m = 1 u m ( x , t ) .

From Eqs. (13) and (15) and subject to initial condition u m ( x , 0 ) = 0 , m 1 .

We obtain u 0 ( x , y ) = x 2 - 13 15 xy - 2 15 xy 4 , u 1 ( x , y ) = - 2 15 xy ( y 3 + 1 ) , u 2 ( x , y ) = 0 .

And by repeating this approach, we obtain u 3 ( x , t ) = u 4 ( x , t ) = = 0 .

When = - 1 we have u ( x , t ) = i = 0 u i ( x , t ) = x 2 - 13 15 xy - 2 15 xy 4 + 2 15 xy ( y 3 + 1 ) + 0 + 0 + , u ( x , y ) = x 2 + xy , which is an exact solution.

Example 2

Consider the following Volterra–Fredholm equation

(16)
u ( x , y ) = f ( x , y ) + 0 y - 1 1 x 2 e - s u ( s , t ) dsdt , where f ( x , y ) = y 2 e x - 2 3 x 2 y 3 , with the exact solution is u ( x , y ) = y 2 e x .

To solve Eq. (16) by means of homotopy analysis method, we have

(17)
φ 0 ( x , y ) = f ( x , y ) ,

We now define a nonlinear operator as N [ u ( x , y ) ] = φ ( x , y ; p ) - f ( x , y ) - 0 y - 1 1 x 2 e - s u ( s , t ) dsdt .

Using above definition, with assumption H ( x , t ) = 1 . We construct the zeroth-order deformation equations ( 1 - p ) L ( φ ( x , t ; p ) - u 0 ( x , t ) ) = p N ( φ ( x , t ; p ) ) , obviously, when p = 0 and 1, φ ( x , t ; 0 ) = u 0 ( x , t ) , φ ( x , t ; 0 ) = u ( x , t ) .

Thus, we obtain the mth-order deformation equations

(18)
L [ u m - χ m u m - 1 ] = R m ( u m - 1 ) , where R m ( u m - 1 ) = u m - 1 ( x , y ) - - 1 y - 1 1 x 2 e - s u ( s , t ) dsdt .

Now, the solution of the mth-order order deformation Eq. (16)

(19)
u m ( x , t ) = χ m u m - 1 ( x , t ) + L - 1 [ R m ( u m - 1 ) ] .

Finally, we have u ( x , t ) = u 0 ( x , t ) + m = 1 u m ( x , t ) .

From Eqs. (17) and (18) and subject to initial condition u m ( x , 0 ) = 0 , m 1 .

We obtain u 0 ( x , y ) = y 2 e x - 2 3 x 2 y 3 , u 1 ( x , y ) = 1 6 y 4 x 2 e - 5 6 y 4 x 2 e - 1 - 2 3 x 2 y 3 ,

When = - 1 , we have u = i = 0 u i = y 2 e x - 2 3 x 2 y 3 - 1 6 y 4 x 2 e + 5 6 y 4 x 2 e - 1 + 2 3 x 2 y 3 + 1 3 y 5 x 2 - 5 6 y 5 x 2 e - 2 - 1 30 y 5 x 2 e 2 - 5 6 y 4 x 2 e - 1 + 1 6 y 4 x 2 e + .

The exact solution and HAM results are shown in Figs. 1 and 2, respectively.

HAM solution for Example 2.
Figure 1
HAM solution for Example 2.
Exact solution for Example 2.
Figure 2
Exact solution for Example 2.

4

4 Conclusion

In this work we applied homotopy analysis method for solving integral equations of two-dimensional. The approximate solutions obtained by the homotopy analysis method are compared with exact solutions. It can be concluded that the homotopy analysis method is very powerful and efficient technique in finding exact solutions for wide classes of problems. In our work, we use the MAPLE 11 package to carry the computations.

Acknowledgement

With special thank full from Azad university of Gonbad Kavos Branch that this article is resulting from research project Homotopy analysis method for integral equations of mixed type published in this university.

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