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Differential Transform Method For Ordinary Differential Equations

NARHARI PATIL

1

and AVINASH KHAMBAYAT

2

1

Professor & Head Department of Mathematics

Shri Sant Gajanan Maharaj College of Engineering, Shegaon, Maharashtra, INDIA.

2

Department of Mathematics

G. H. Raisoni Institute of Engineering and Management, Jalgaon, Maharashtra, INDIA

(Received on: May 24, 2012) ABSTRACT

In this paper, we study Differential Transform Method for solving Ordinary Differential Equations. The approximate solution of the equation is calculated in the form of series with easily computable componants.This Powerful method catches the exact solution.

Some types of Ordinary Differential Equations are solved as numerical examples.

Keywords: Series solutions, Differential transform, System of Ordinary Differential Equations.

1. INTRODUCTION

Consider the system of Ordinary Differential Equations of the first order with initial conditions,

dx dy

1

 



, 



, 



, … , 



, 







  

 ,







 

, 1, 2, … , 

, 2



0





y

2





 , 



, 



, … , 



, 







 = y

n

(1.1) Where each equation represents the first

derivative of unknown function as a mapping depending on the independent variable  and n unknown functions



,



, . . .





2. THE DIFFERENTIAL TRANSFORM METHOD

The transformation of the

derivative of a function with one variable is

follows

(2)

  

!



 

    



,

and the inverse transformation is defined by,

      





∞



In this section we shall give basic theorem of one dimensional transform method.

Definition1. If u (t) is analytic in domain in the domain T then let,

k k

dt t u k d

t ( )

) ,

( =

φ for all t ∈ T (2.1) for   



 ,    

 ,

, where

k belong to the set of non negative integers, denoted as integer K domain. Therefore (2.1) can be written as,

k all for t t at

dt t u d k k

k t k

U

k

k i

0

) (

! ) 1 ,

! ( ) 1 (

=

 

 

= 

= φ

(2.2)

Where U (K) is called spectrum of u(t) at   



in the k –domain and the inverse differential transform of U( k ) is defined as follows

=

=

o k

t

k

t k U t

u ( ) ( )(

0

) (2.3)

In the real application, the function u(t) is expressed by a finite series and equation (2.3) can be written as,

      









2.4

The particular case of equation (2.4) when 



 0 is referred to as the Maclaurins series of u (t), and is express as,

     





2.5

The following theorems that can be deduced from equations (2.1) and (2.4) are given below

Theorem 1

If   !" # $ %   

!&  # $'  Theorem 2

If   



%  (  )  *

 )  *  +1, -  * 0 , - . * / Theorem 3

If   

%   

!

Theorem 4

If u t  g t h t then

   ∑ &5'  5



Theorem 5

If   



 



 %

(3)

    







 



 







Theorem 6

If  

  

,

%   

  ! !





 6 %

Theorem 7

If y   



%   

 !

, 7 -8 9:%8%

Theorem 8

If y   sin 6 ! %   



 !

sin



6 !  , Where !,  are constant Theorem 9

If   cos 6 ! %   



 !

cos



6 !  , Where !,  are constant

3. NUMERICAL APPLICATION

Here the Differential Transform Method applied on some numerical examples to obtaining exact solution of ordinary differential equation. We considered linear and non linear system of ordinary differential equation of first order.





  



 , 



0  0





  @







 6 2



 





 8-% 6 4 8-%2A , 



0  1





  



 , 



0  0





  @







  2



 



 8-% 6 4 8-%2A , 



0  2

By using above theorems and basic properties of the Differential Transform Method,





  





 6 1 6 1  



 

 6 1  1

6 1 



  Also,

  sin 1 6 0, ( 

 !

sin  6 0 

 !

sin B



C

  sin 2 %    2

! sin  E 2  The system of (3.1) is transformed as,

 6 1  1

6 1 



 





 6 1  1 6 1 F 1

2 



  6 2



 

 1 2 1

! 8-% E 2

 2 2

! sin  E 2  G





 6 1  1

( 6 1 



 





 6 1 



@







   2



  







!

8-%



 2

 !

sin 



A (2.6)

(4)

Converting it in to a system of differential equations of the first order differential equations

Example 3.1 consider the following system of order two with initial condition



′′

 6   H

′′

  4H

 0 , 0  0 , 

0

 1 

 6 H



 9:8 6 29:82 , H0

 0 , H

0  2 3.1

Considering the four functions,





  , 



  

,





  H , 



  H



As 0  0 , 

0  1 -*J5-8 





0  0 , 



0  1

and 



  H  0, 



0  2 From initial conditions,





0  0 , 



0  1 ,





0  0 , 



0  2 (3.2) The values of 



 , -  1,2,3,4 ,

(  0,1,2, … and put (3.2) in (2.6) we get Put k = o,





 6 1  1

6 1 



  "-H8 



1

 1





 6 1  1 6 1 F 1

2 



  6 2



 

 1 2 1

! 8-% E 2

 2 2



! sin  E 2  G

"-H8 



1  0





 6 1  1

6 1 



  "-H8 



1  2 



 6 1  1

( 6 1 F 1

2 



   2



 

 1 2 1

! 8-% (E 2

 2 2



(! sin  (E 2  G

gives 



1  0 (3.3) Thus for k = 0, 



1  1,





1  0,



1  2, 



1  0 (3.4) Put k = 1, 



2  0 , 



2 



,





2  0 , 



2  4 (3.5) Put k = 2, 



3 



,





3  0, 



3 



, 



3  0 (3.6) By substituting the values of





  % 



  -% 2.4  



 0





   

∞







  3.7

Take i = 1,





   

∞







 





   

!





+. . . 



  8-% (3.8) Take i = 3,





   

∞







 

(5)





  0 6 2  







 sin2x (3.9) Thus   



  sin  ,

  



  8-%2,



  9:8 , H

  29:82 (3.10) Example 3.2 Consider the following system of linear differential equations,





  



 6 



 ith initial conditions





0  0, 



0  1 (3.11) Using above mentioned theorems of differential transform method we transform as  6 1



 6 1  



  6 



 





 6 1 



M



  6 



 N ,





 6 1 



M



  6 



 N (3.12) with initial condition





0  0, 



0  1 (3.13) Put k = 0,





1  M



0 6 



0N = 0 + 1 = 1





1  M



0 6 



0N  0 6 1  1 Put k = 1, 



2  1 , 



2  0 Put k = 2, 



3 



, 



3 



Put k = 3, 



4  0, 



4 



Put k = 4, 



5 



, 



5 



We have





   

∞







  take i = 1,





   

∞







 

  6 



6







6 . . . take i = 2





   

∞







 

 1 6  



 . . . Example 3.3 consider the following system of non homogenous differential equations





  



 9:8 , 



0  1





  



 

, 



0  0





  



 



, 



0  0 3.14

using basic theorem of differential transform method,





 6 1  1

6 1 O



 

 1

! cos O E

2 P P 



0  1





 6 1  1

6 1 O



   1

!P , 



0  1

  1 

௞ାଵ  , 0  2

(3.15)

(6)

Put k = 0 in above equations, we get





1  1 , 



1  1 , 



1  1 Put k = 1, 



2 



, 



2  0 , 



2  0

Put k = 2 , 



3 



, 



3  



,





3  1 6

Put k = 3 , 



4 



, 



4  0 ,





4  1 12

Put k = 4, 



5 

!

, 



5 

!

,





5  1 5!

Put k = 5 , 



6 

!

, 



6  0 ,





6  0 (3.16) By substituting these value of





 , 



 , 



  in to (3.6) we obtain





, 



, 









   





 

∞



take i = 1, 



  1 6  6 



6 . . . = 

take i = 2 , 



   

!

6 . . .  8-%

take i = 1, 



  2 6 1 6 



0

6



6



6 . . . = 

6 9:8 3.17

Example 3.4 Consider the following differential equation of first order,

′



 2 



, ′



 







, ′



 



6 

With initial conditions

0  1 , 0  1 , 0  0 3.18

By applying basic theorems of the differential transformation on the system (3.15), (3.16) respectively, we get





 6 1  2

6 1  



5 





  5





 6 1  1

6 1 1







  5



  1  1

 1        1 1

  !

௟ୀ଴



(3.19)





0  1 , 



0  1, 



0  0 Gives





0  1 ,



0  1, 



0  0 (3.20) take k = 0 in (3.17) we get 



1  2 ,





1  1

also 5  0 , k = 0 gives 



1  1

Put k = 1, 5  0 



2  1 ,



2 



,





2 



Put k = 2, 5  0 



3 



, 



3 



,





3 



(3.21) Now for





 , -  1 ,2, 3 . . . %  0 , 1 , 2

(7)





   





 

∞



for i = 1





  1 6 2 6 



2 6 4

3 



6. . .  



take i = 2





  1 6 2 6 



2 6 4



3 6 . . .  



Take i = 3





  1 6  6 



2 6 . . .   

Thus





  



, 



  



,



  

(3.22) 4. CONCLUSION

In this study, we successfully apply DTM to find the solution of a system of differential equations of first order and any order ordinary differential equations. It is observed that DTM is an effective and reliable tool for the solution of system of ordinary differential equations. The method gives rapidly converging series solution. The accuracy of the obtaining solution can be improved by take in more terms in solution.

This method is very effective to solve most of differential system.

REFERENCES

1. Farshid Mirzaee, differential equations methods for solving line and Nonlinear system of ordinary differential equation . Math. Vol. 5, no.70, 3463472 (2011).

2. H. Jafri, V Daftardar- Gejji Adomain decomposition method for Solving system of ordinary fractional differential equation, Appl. Math Comput.181, 598-608 (2006).

3. N. T. Shawagfeh., D. Kaya , comparing numerical methods for solution of ordinary differential equation, Appl. Math. Lett., 17, 323- 328 (2004).

4. J. Biazar. H. Ghazvini, He’s variational iteration method for solving linear and non linear system of ordinary differential equations, Appl.

Math. Comput. 191, 287-297 (2007).

5. S. H. Momeni, differential transforms method for obtaining positive Solution for Two point non linear boundary value problems. Appl. Math Comput, pp 65-75 (2007).

6. Khaterch Tabatabaei., A method for solving system of ordinary Differential equation, IEEE 978-1-4244-7.

7. J.C Butcher, Numerical methods for ordinary differential equations, John Wiley and Sons (2003).

8. Z. Odibat, differential transforms method for solving Volterra integral Equation with separable kernels, Math. Comput. Model,48, 1144-1146 (2008).

9. A. Arikoglu, IOzkol solution of boundary value problems for intgro- differntial equation by using transform method , Appl. Math. Comput., 168, 1145- 1158 (2005).

10. H. Jafri, V. Draftardar-Gejji, Revised Adomain Decomposition method for solving system of ordinary and fractional differential equations, Appl.

Math. Comput. 181, 598-608 (2006).

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11. N.T. Shawagfeh, D Kaya Comparing numerical method for solutions of ordinary differential equations, Appl.

Math. Lett. 17, 323-328 (2004).

12. Chen, C. K. Ho, S. H. solving partial differential equation by two

differential transform methods, Appl.

Math.Comput.106, pp.171-179 (1999).

13. Ebadian. A. Darania P. A method for

the numerical solution of the intgro-

differential equation, Appl. Math.188,

pp. 657-668 (2007).

References

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