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Home » GATE Study Material » Mathematics » Numerical Analysis » Solution of Differential Equations » Finite Difference Method for ODE's

Finite Difference Method for ODE's

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Finite Difference Method for ODE's

Background

Theorem  (Boundary Value Problem).
  Assume that  
[Graphics:Images/FiniteDifferenceMod_gr_1.gif]  is continuous on the region  
[Graphics:Images/FiniteDifferenceMod_gr_2.gif]  and  that  
[Graphics:Images/FiniteDifferenceMod_gr_3.gif]  and  
[Graphics:Images/FiniteDifferenceMod_gr_4.gif]  are continuous on  
[Graphics:Images/FiniteDifferenceMod_gr_5.gif].  If there exists a constant  
[Graphics:Images/FiniteDifferenceMod_gr_6.gif]  for which  
[Graphics:Images/FiniteDifferenceMod_gr_7.gif]  satisfy

    
[Graphics:Images/FiniteDifferenceMod_gr_8.gif]  
and
    

[Graphics:Images/FiniteDifferenceMod_gr_9.gif],  

then the boundary value problem

    

[Graphics:Images/FiniteDifferenceMod_gr_10.gif]  with  
[Graphics:Images/FiniteDifferenceMod_gr_11.gif]  

has a unique solution   
[Graphics:Images/FiniteDifferenceMod_gr_12.gif].  

    The notation  
[Graphics:Images/FiniteDifferenceMod_gr_13.gif]  has been used to distinguish the third variable of the function    
[Graphics:Images/FiniteDifferenceMod_gr_14.gif].   Finally, the special case of linear differential equations is worthy of mention.

 

Corollary (Linear Boundary Value Problem).  Assume that  
[Graphics:Images/FiniteDifferenceMod_gr_15.gif]  in the theorem has the form  
[Graphics:Images/FiniteDifferenceMod_gr_16.gif]  and that  f  and its partial derivatives  
[Graphics:Images/FiniteDifferenceMod_gr_17.gif]  and  
[Graphics:Images/FiniteDifferenceMod_gr_18.gif] are continuous on  
[Graphics:Images/FiniteDifferenceMod_gr_19.gif].  If there exists a constant  
[Graphics:Images/FiniteDifferenceMod_gr_20.gif]  for which  p(t)  and   q(t)  satisfy

    
[Graphics:Images/FiniteDifferenceMod_gr_21.gif]  
and
    

[Graphics:Images/FiniteDifferenceMod_gr_22.gif],  

then the linear boundary value problem

    

[Graphics:Images/FiniteDifferenceMod_gr_23.gif]  with  
[Graphics:Images/FiniteDifferenceMod_gr_24.gif]  

has a unique solution   
[Graphics:Images/FiniteDifferenceMod_gr_25.gif].  

 

Finite-Difference Method

    
Methods involving difference quotient approximations for derivatives can be used for solving certain second-order boundary value problems.  Consider the linear equation
    
(1)        

[Graphics:Images/FiniteDifferenceMod_gr_26.gif]  

over  [a,b]  with  
[Graphics:Images/FiniteDifferenceMod_gr_27.gif].  Form a partition of [a, b] using the points  
[Graphics:Images/FiniteDifferenceMod_gr_28.gif],  where  
[Graphics:Images/FiniteDifferenceMod_gr_29.gif]  and
[Graphics:Images/FiniteDifferenceMod_gr_30.gif]  for  
[Graphics:Images/FiniteDifferenceMod_gr_31.gif].  The central-difference formulas discussed in Chapter 6 are used to approximate the derivatives  

(2)        

[Graphics:Images/FiniteDifferenceMod_gr_32.gif]

and

(3)        

[Graphics:Images/FiniteDifferenceMod_gr_33.gif]

Use the notation
[Graphics:Images/FiniteDifferenceMod_gr_34.gif] for the terms
[Graphics:Images/FiniteDifferenceMod_gr_35.gif] on the right side of (2) and (3) and drop the two terms
[Graphics:Images/FiniteDifferenceMod_gr_36.gif].  Also, use the notations  
[Graphics:Images/FiniteDifferenceMod_gr_37.gif],    
[Graphics:Images/FiniteDifferenceMod_gr_38.gif],  and  
[Graphics:Images/FiniteDifferenceMod_gr_39.gif] this produces the difference equation

        

[Graphics:Images/FiniteDifferenceMod_gr_40.gif]

which is used to compute numerical approximations to the differential equation (1).  This is carried out by multiplying each side  by
[Graphics:Images/FiniteDifferenceMod_gr_41.gif] and then collecting terms involving  
[Graphics:Images/FiniteDifferenceMod_gr_42.gif]  and arranging them in a system of linear equations:

        

[Graphics:Images/FiniteDifferenceMod_gr_43.gif]  

for  
[Graphics:Images/FiniteDifferenceMod_gr_44.gif] , where
[Graphics:Images/FiniteDifferenceMod_gr_45.gif] and  
[Graphics:Images/FiniteDifferenceMod_gr_46.gif] . This system has the familiar tridiagonal form.

    We are all familiar with the differential equation  
[Graphics:Images/FiniteDifferenceMod_gr_47.gif] and its general solution  
[Graphics:Images/FiniteDifferenceMod_gr_48.gif]. The boundary conditions with  
[Graphics:Images/FiniteDifferenceMod_gr_49.gif]  can only be solved if  
[Graphics:Images/FiniteDifferenceMod_gr_50.gif].  Unfortunately, because of this counter example, the "theory" which "guarantees" a solution must be phrased with "
[Graphics:Images/FiniteDifferenceMod_gr_51.gif]."  A careful reading of the "theory" reveals that this is a sufficient condition and not a necessary condition.  Indeed there are many problems that can be solved with the "shooting method" , all we ask is to be cautious with its implementation and take note that it might not apply sometimes.    

 

Program (Finite-Difference Method).  To approximate the solution of the boundary value problem  
[Graphics:Images/FiniteDifferenceMod_gr_52.gif]  with  
[Graphics:Images/FiniteDifferenceMod_gr_53.gif]  and  
[Graphics:Images/FiniteDifferenceMod_gr_54.gif]  over the interval  
[Graphics:Images/FiniteDifferenceMod_gr_55.gif]  by using the finite difference method of order  
[Graphics:Images/FiniteDifferenceMod_gr_56.gif]. The mesh we use is  
[Graphics:Images/FiniteDifferenceMod_gr_57.gif]  and the solution points are
[Graphics:Images/FiniteDifferenceMod_gr_58.gif].  
Procedures.   
(i)   Construct the tri-diagonal matrix and vector.
(ii)  
Solve the system in (i).
(iii)
Join the mesh points and vector from (ii) to form the solution points.


[Graphics:Images/FiniteDifferenceMod_gr_59.gif]
[Graphics:Images/FiniteDifferenceMod_gr_60.gif]
[Graphics:Images/FiniteDifferenceMod_gr_61.gif]



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