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Solving Singular Partial Integro-Differential Equations

Using Taylor Series

Hussam E. Hashim1 and Tarig M. Elzaki2

1

Mathematics Department, Taif University Taif, Saudi Arabia

2

Mathematics Department, Jeddah University Jeddah, Saudi Arabia

Abstract

The aim of this study is to introduce a new technique to solve linear singular partial integro-differential equations (PIDEs) of first and second-order by using Taylor's series and convert the proposed PIDE to an partial differential equation. Solving this partial differential equation and applying the iteration method an exact solution of the problem is obtained. Some examples are presented in detail to show the accuracy and efficiency of this technique.

Keywords: Partial integro-differential equations, Taylor's series, singular point

1. Introduction

The theory and application of partial integro-differential equations (PIDEs) play an important role in the mathematical modeling of many fields: physical phenomena, biological models, chemical kinetics and engineering sciences in which it is necessary to take into account the effect of the real world problems.

The general form of linear PIDE is:

 

 

 

 

 

 

 

  

,

,

,

,

,

,

,

,

,

,

,

,

,

,

0 ,

, 3

, 2 0

, 1

d

y

b

c

x

a

dt

ds

t

s

f

t

s

y

x

k

y

x

u

y

x

y

x

f

y

x

a

y

x

y

f

y

x

a

y

x

x

f

y

x

a

x

a y

b m

j i

j i

j i

j i

i i

i n

i

i i

i





 

 

(1)

where

a

,

b

,

c

and

d

are constants.

f

 

s

,

t

is the unknown function and

k

x

,

y

,

s

,

t

is the kernel of the integral equation. The functions

 

x

y

a

 

x

y

a

   

x

y

u

x

y

a

1,i

,

,

2,i

,

,

3,ij

,

,

,

and

f

 

x

,

y

are usually assumed to be continuous on the intervals

 

a

,

c

and

 

b

,

d

. Equations of this form are usually difficult to solve analytically so it is required to obtain an efficient approximate or numerical methods. These methods including Single-term Wash series method for Volterra integro-differential equations has been proposed by collocation method [4], Brunner applied a collecation- Sepehrian and Razzaghi [1], piecewise polynomials [2, 3], the spline type method to Volterra-Hammerstein integral equation as well as integro-di¤erential equations [5], the homotopy perturbation method (HPM) [6, 7], Haar wavelets [8], the wavelet-Galerkin method [9], the Tau method [10], the sinc-collocation method [11], the combined Laplace transform-Adomian decomposition method [12] to determine exact and approximate solutions, variational iterations method (VIM) [13] and Taylor polynomials[14].

The present work is motivated by the desire to obtain an exact solutions to first and second-order linear singular partial integro-differential equations, where the integrand is singular in the sense that its integral is continuous at the singular point, i.e. its kernel

 

s

y

t

x

t

s

y

x

k

1

,

,

,

is singular as

t

x

and

s

y

.

2. Solutions by Taylor’s Series

We propose an exact solution for solving linear singular partial integro-differential equations.

The advantage of this method is that we remove the singularity of the kernel of first- and second-order linear singular partial integro-differential equations at

t

x

and

y

(2)

2.1 First-order partial integro-differential equations

From Eq. (1), we can define the first-order singular partial integro-differential equation as:

       

   

 

 

 

.

1

0

1

0

,

,

,

,

,

,

,

,

,

 

 

and

for

dt

ds

s

y

t

x

t

s

f

y

x

u

y

x

f

y

x

q

y

y

x

f

y

x

k

x

y

x

f

y

x

h

x a y b (2)

We can write

 

 

 

 

 

 

 

 

 

 

,

 

,

.

,

,

,

,

,

,

dt

ds

s

y

t

x

y

x

f

t

s

f

s

y

t

x

dt

ds

y

x

f

dt

ds

s

y

t

x

y

x

f

y

x

f

t

s

f

dt

ds

s

y

t

x

t

s

f

x a y b x a y b x a y b x a y b

 

 

 

 

        (3)

For first-order partial differential equations, we use the following Taylor’s approximation series of degree 1 of

 

s

t

f

,

about

t

x

and

s

y

 

  

  

  

,

,

,

,

,

y

x

f

y

s

y

x

f

x

t

y

x

f

t

s

f

y x

or equivalently

 

  

  

  

,

,

,

,

,

y

x

f

y

s

y

x

f

x

t

y

x

f

t

s

f

y x

(4)

substituting Eq: (4) into Eq: (3) we have

 

 

 

 

  

 

 

 

 

x a y b x x a y b x a y b

s

y

t

x

dt

ds

y

x

f

t

x

s

y

t

x

dt

ds

y

x

f

dt

ds

s

y

t

x

t

s

f

     

,

,

,

  

 

 

x a y b y

s

y

t

x

dt

ds

y

x

f

s

y

,

,

  so

 

 

 



 

 



 

 



 

,

,

1

2

,

2

1

,

1

1

,

1 2 2 1 1 1

y

x

f

a

x

b

y

y

x

f

a

x

b

y

y

x

f

a

x

b

y

dt

ds

s

y

t

x

t

s

f

y x x a y b

     

 

       

thus Eq: (4) becomes:

       

     

 



 

 



 

 



 

y

y

x

f

a

x

b

y

x

y

x

f

a

x

b

y

y

x

f

a

x

b

y

y

x

u

y

x

f

y

x

q

y

y

x

f

y

x

k

x

y

x

f

y

x

h

     

,

1

2

,

2

1

,

1

1

,

,

,

,

,

,

,

1 2 2 1 1 1

      or equivalently

  

 



 

  

 



 

 

 

1



1

   

,

,

.

,

,

1

2

,

,

2

1

,

1 1 1 2 2 1

y

x

f

y

x

q

a

x

b

y

y

x

u

y

y

x

f

a

x

b

y

y

x

k

x

y

x

f

a

x

b

y

y

x

h

     

      Therefore

 

 

 

 

,

,

,

,

,

y

y

x

f

A

C

x

y

x

f

A

B

A

y

x

u

y

x

f

(5) where

 

1



1

 

,

0

,

1 1

y

b

x

a

q

x

y

A

(3)

  

 



  

 



.

1

2

,

,

2

1

,

1 2

2 1

 

 

 

 

a

x

b

y

y

x

k

C

a

x

b

y

y

x

h

B

The solution (5) in a series form can be written as

 

 

 

 

 

,

,

,

,

,

,

0

0 0

 

n n

n n n

n

y

x

f

y

A

C

y

x

f

x

A

B

A

y

x

u

y

x

f

y

x

f

and the recursion scheme

 

 

 

 

 

   

   

 

 

 

  

 

 

. 1 , ,

, ,

, , ,

1 1 0

n y x f y A C

y x f x A B y

x f

A y x u y

x f

n n

n (6)

Example

If we consider Eq: (2) with

h

   

x

,

y

k

x

,

y

1

,

 

x

,

y

0

q

,

2

1

and

u

 

x

,

y

4

xy

.

Then Eq: (2) becomes:

 

 

 

 

x y

y x

s

y

t

x

dt

ds

t

s

f

xy

y

x

f

y

x

f

0 0

,

4

,

,

and we have

.

3

4

1

3

4

1

,

4

2

1 2 3 2

3 2 1

x

y

C

and

x

y

B

xy

A

Then, the components

f

n

 

x

,

y

can be recursively by applying Eq: (6) as follows

 

 

 

      

 

 

. 1 , 0 ,

, 1 , ,

0

n y

x f

A y x u y

x f

n

Thus the solution is

 

,

 

,

1

.

0

n

n

x

y

f

y

x

f

Which is the exact solution.

2.2 Second-order partial integro-differential equations

Let us consider from Eq: (1) the second-order singular partial integro-differential equation, namely

 

 

 

 

 

   

 

 

 

.

1

0

1

0

,

,

,

,

,

,

,

,

,

,

5 4

2 2 3

2 2

2 2 1

 

 

and

for

dt

ds

s

y

t

x

t

s

f

y

x

u

y

x

f

y

x

q

y

f

y

x

a

x

f

y

x

a

y

f

y

x

a

y

x

f

y

x

a

x

f

y

x

a

x

a y

b

(7)

We can write

 

 

   

 

 

 

 

   

,

 

,

.

,

,

,

,

,

,

dt

ds

s

y

t

x

y

x

f

t

s

f

s

y

t

x

dt

ds

y

x

f

dt

ds

s

y

t

x

y

x

f

y

x

f

t

s

f

dt

ds

s

y

t

x

t

s

f

x

a y

b x

a y

b x

a y

b x

a y

b

 

 

 

 

 

 

 

 

(8)

For second-order partial differential equations, we use the following Taylor’s approximation series of degree 2 of

 

s

t

f

,

about

t

x

and

s

y

    

  

  

 



 

 

2 2 2

2 2 2 2

,

2

,

,

2

,

,

,

,

y

y

x

f

y

s

y

x

y

x

f

y

s

x

t

x

y

x

f

x

t

y

y

x

f

y

s

x

y

x

f

x

t

y

x

f

t

s

f

(9)

(4)

 

 

 

1



1

 

,

,

,

1 1

y

x

f

a

x

b

y

s

y

t

x

dt

ds

y

x

f

x a y b

 

 

    (10)

  

 

 

1



2

 

,

,

,

2 1

x

y

x

f

a

x

b

y

dt

ds

s

y

t

x

y

x

f

x

t

x a y b x

 

 

    (11)

  

 

 

2



1

 

,

,

,

1 2

y

y

x

f

a

x

b

y

dt

ds

s

y

t

x

y

x

f

y

s

x a y b y

 

 

    (12)

 

 

1



3

,

2

1

2

1

2 2 3 1 2 2 2

x

f

a

x

b

y

dt

ds

s

y

t

x

x

t

x

f

x a y b

 

 

    (13)



 

 



x

y

f

a

x

b

y

dt

ds

s

y

t

x

y

s

x

t

y

x

f

x a y b

 

 

2 2 2 2

2

2

    (14) and

 

 



.

1

3

2

1

2

1

2 2 1 3 2 2 2

y

f

a

x

b

y

dt

ds

s

y

t

x

y

s

y

f

x a y b

 

 

    (15)

Then we can write Eq: (8) in the form

 

,

 

,

,

2 2 2 2 2

y

x

Af

y

x

u

y

f

F

x

f

E

y

f

D

y

x

f

C

x

f

B

(16) where that

 



 

,

0

,

1

1

1 1

y

b

x

a

q

x

y

A

 

 

 



,

3

1

2

1

,

3 1

1

 

a

x

y

y

b

x

a

B

  

 



 

 



  

 



     

     

2

1

,

,

1

3

2

1

,

,

2

2

,

2 1 4 1 3 3 2 2 2

a

x

b

y

y

x

a

E

a

x

b

y

y

x

a

D

a

x

b

y

y

x

a

C

and

  

 



.

1

2

,

1 2

5

 

a

x

y

y

b

x

a

F

If we can write Eq: (16) in the form of a series solution

 

 

 

 

 

 

 

 

,

,

,

,

,

,

,

,

,

,

,

,

0 0 0 2 2 0 2 0 2 2 0

           

n n n n n n n n n n n n

y

x

f

y

A

F

y

x

f

x

A

E

y

x

f

y

A

D

y

x

f

y

x

A

C

y

x

f

x

A

B

A

y

x

u

y

x

f

y

x

f

then, we can write the recursion scheme as follows:

 

 

 

 

 

 

 

 

                                           . 1 , , , , , , , , , , 1 1 1 2 2 1 2 1 2 2 0 n y x f y A F y x f x A E y x f y A D y x f y x A C y x f x A B y x f A y x u y x f n n n n n n (17) Example

(5)

.

9

16

0

,

0

,

1

2 3 2 3

5 4 2 3

1

y

x

u

and

q

a

a

a

a

a

Therefore

.

3

4

3

4

,

9

4

,

4

2 1 2 3

2 3 2 1 2

3 2 3 2

1 2 1

x

y

F

and

x

y

E

x

y

C

x

y

A

The components

f

n

 

x

,

y

can be recursively determined by applying Eq: (17) as follows

 

 

 

 

 

       

        

 

 

     

      

      

       

, 1 , 9 5 9 4 ,

...

, 9 5 9 4 ,

, 9 5 9 4 ,

, 9 5 9 4 ,

, 9 4 ,

3

3

2

2 1 0

n xy y

x f

xy y

x f

xy y

x f

xy y

x f

xy y

x f

n

n

which we recognize as a geometric series. Thus

 

,

 

,

.

0

n

n

x

y

xy

f

y

x

f

Which is the exact solution.

Solving Singular Partial

Integro-Differential Equations

Using Taylor Series

Hussam E. Hashim1 and Tarig M. Elzaki2

1 Mathematics Department, Taif University

Taif, Saudi Arabia

E-mail address: [email protected]

2

Mathematics Department, Jeddah University Jeddah, Saudi Arabia

E-mail address: [email protected]

Keywords: Partial integro-differential equations, Taylor's series, singular point

3. Conclusions

The new technique successfully uses to solve the first and second order partial integro-differential equations. The exact solution of PIDE after some steps of calculations has been done. This new technique is easy to implement and produces accurate results. Some other types of PIDE and these equations can be used in modeling real life phenomena.

References

[1] Sepehrian, B. and M. Razzaghi, 2004. Single-term Wash series method for the Volterra integro- differential equations. Engineering Analysis with boundary Element, 28: 1315-1319.

[2] H. Brunner, O63

+n the numerical solution of nonlinear

Volterra integro-differential equations, BIT 13 (1973) 381.390.

[3] D. Contea, I. Preteb, Fast collocation methods for Volterra integral equations of convolution type, J. Comput. Appl. Math. 196 (2006) 652.663.

[4] H. Brunner, On the numerical solution of nonlinear Fredholm integral equations by collocation methods, SIAM J. Numer. Anal. 27 (1990) 987.1000.

[5] Brunner, H., 1982. Implicitly linear collecation method for nonlinear Volterra equation. J Appl Numer Math, 9: 235-247.

[6] M. Ghasemi, M. Kajani, E. Babolian, Application of He.s homotopy perturbation method to nonlinear integro-differential equation, Appl. Math. Comput. 188 (2007) 538.548.

[7] J. Saberi-Nadja, A. Ghorbani, He.s homotopy

perturbation method: an effective tool for solving non- linear integral and integro-differential equations, Comput. Math. Appl. 58 (2009) 2379.2390.

[8] O. Lepik, Haar wavelet method for nonlinear integro- differential equations, Appl. Math.Comput.176 (2006) 324.333.

[9] Y. Mahmoudi, Wavelet Galerkin method for numerical solution of nonlinear integral equation, Appl. Math.

Comput. 167 (2005) 1119.1129.

[10] G. Ebadi, M. Rahimi-Ardabili, S. Shahmorad, Numerical solution of the nonlinear Volterra integro-differential equations by the Tau method, Appl. Math. Comput. 188 (2007) 1580.1586. [11] M. Zarebnia, Z. Nikpour, Solution of linear Volterra Integro-differential equations via Sinc functions, Int. J. Appl. Math. Comput. 2 (2010) 1.10.

(6)

S. Shakeri, 2008. A Comparision Between the Variational Iteration Method and Trapezoidal Rule for solving Linear Integro-Differential Equations. World Applied Sciences Journal, 4: 321-325. [14] K. Maleknejad, Y. Mahmoudi, Taylor polynomial solution of high-order nonlinear Volterra Fredholm Integro-differential equations, Appl. Math. Comput. 145 (2003) 641.653.

First Author

Hussam E. Hashim Assistance Professor

Mathematics Department, Taif University Taif, Saudi Arabia

Second Author

Tarig M. Elzaki Associate Professor

References

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