Module for the Shooting Method for Boundary Value Problems

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Theorem  (boundary value problem).  Assume that  [Graphics:Images/ShootingMod_gr_1.gif]  is continuous on the region  [Graphics:Images/ShootingMod_gr_2.gif]  and  that  [Graphics:Images/ShootingMod_gr_3.gif]  and  [Graphics:Images/ShootingMod_gr_4.gif]  are continuous on  [Graphics:Images/ShootingMod_gr_5.gif].  If there exists a constant  [Graphics:Images/ShootingMod_gr_6.gif]  for which  [Graphics:Images/ShootingMod_gr_7.gif]  satisfy

    [Graphics:Images/ShootingMod_gr_8.gif]  
and
    
[Graphics:Images/ShootingMod_gr_9.gif],  

then the boundary value problem

    
[Graphics:Images/ShootingMod_gr_10.gif]  with  [Graphics:Images/ShootingMod_gr_11.gif]  

has a unique solution   [Graphics:Images/ShootingMod_gr_12.gif].  

    The notation  [Graphics:Images/ShootingMod_gr_13.gif]  has been used to distinguish the third variable of the function    [Graphics:Images/ShootingMod_gr_14.gif].   Finally, the special case of linear differential equations is worthy of mention.

Corollary (linear boundary value problem).  Assume that  [Graphics:Images/ShootingMod_gr_15.gif]  in the theorem has the form  [Graphics:Images/ShootingMod_gr_16.gif]  and that  f  and its partial derivatives  [Graphics:Images/ShootingMod_gr_17.gif]  and  [Graphics:Images/ShootingMod_gr_18.gif] are continuous on  [Graphics:Images/ShootingMod_gr_19.gif].  If there exists a constant  [Graphics:Images/ShootingMod_gr_20.gif]  for which  p(t)  and   q(t)  satisfy

    [Graphics:Images/ShootingMod_gr_21.gif]  
and
    
[Graphics:Images/ShootingMod_gr_22.gif],  

then the linear boundary value problem

    
[Graphics:Images/ShootingMod_gr_23.gif]  with  [Graphics:Images/ShootingMod_gr_24.gif]  

has a unique solution   [Graphics:Images/ShootingMod_gr_25.gif].  

Footnote. The significance of the theory.  

    We are all familiar with the differential equation  
[Graphics:Images/ShootingMod_gr_26.gif] and its general solution  [Graphics:Images/ShootingMod_gr_27.gif].
The boundary conditions with  [Graphics:Images/ShootingMod_gr_28.gif]  can only be solved if  [Graphics:Images/ShootingMod_gr_29.gif].  Unfortunately, because of this counter example, the "theory" which "guarantees" a solution must be phrased with "[Graphics:Images/ShootingMod_gr_30.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 (Linear Shooting Method).  To approximate the solution of the boundary value problem  

    
[Graphics:Images/ShootingMod_gr_31.gif]  with  [Graphics:Images/ShootingMod_gr_32.gif]  

over the interval  [a,b]  by using the Runge-Kutta method of order n=4.

The method involves solving a two systems of equations over  [Graphics:Images/ShootingMod_gr_33.gif],  
First solve     
    [Graphics:Images/ShootingMod_gr_34.gif]                        with    [Graphics:Images/ShootingMod_gr_35.gif],  
    [Graphics:Images/ShootingMod_gr_36.gif]    and    [Graphics:Images/ShootingMod_gr_37.gif].  
Then solve  
    [Graphics:Images/ShootingMod_gr_38.gif]                        with    [Graphics:Images/ShootingMod_gr_39.gif],   
    [Graphics:Images/ShootingMod_gr_40.gif]    and    [Graphics:Images/ShootingMod_gr_41.gif].  
    
Finally, the desired solution x(t) is the linear combination  

     [Graphics:Images/ShootingMod_gr_42.gif].   

The subroutine Runge2D will be used to construct the two solutions  [Graphics:Images/ShootingMod_gr_43.gif],  and  [Graphics:Images/ShootingMod_gr_44.gif].     

Theory of computation.  

    
What should the "theory" really say?  "Existence theory" needs for numerical analysis needs to be "computational theory."  We really need to be guaranteed that two "linearly independent" solutions u(t) and v(t) given above can be computed.  In practice, if  [Graphics:Images/ShootingMod_gr_45.gif] then we need to compute [Graphics:Images/ShootingMod_gr_46.gif].  

[Graphics:Images/ShootingMod_gr_47.gif]

Example 1.  Consider the D. E.  [Graphics:Images/ShootingMod_gr_48.gif]  over  [Graphics:Images/ShootingMod_gr_49.gif]  with  [Graphics:Images/ShootingMod_gr_50.gif]  and  [Graphics:Images/ShootingMod_gr_51.gif].
Is this a "linear differential equation" ?  Why ?
Identify the functions p(t), q(t) and r(t).  
Solution 1.

 

Example 2.  Consider the D. E.  [Graphics:Images/ShootingMod_gr_60.gif]  over  [Graphics:Images/ShootingMod_gr_61.gif]  with  [Graphics:Images/ShootingMod_gr_62.gif]  and  [Graphics:Images/ShootingMod_gr_63.gif].
Use the "linear shooting" method and solve for the first function u(t).  
Solution 2.

 

Example 3.  Use the "linear shooting" method and solve for the second function v(t).  
Solution 3.

 

Example 4.  Neither of the solutions in 2 and 3 solve the given boundary values.  Graph them to verify this.
However, you should be able to "see the initial conditions"  u(1) = 1, u'(1) = 0  and  v(1) = 0, v'(1) = 1. for u and v, respectively.
Solution 4.

 

Example 5.  Form the desired solution to example 1.
Solution 5.

 

Example 6.  Find the analytic solution to  [Graphics:Images/ShootingMod_gr_135.gif]  over  [Graphics:Images/ShootingMod_gr_136.gif]  with  [Graphics:Images/ShootingMod_gr_137.gif]  and  [Graphics:Images/ShootingMod_gr_138.gif].
Solution 6.

 

 

Research Experience for Undergraduates

Shooting Methods for ODE's  Shooting Methods for ODE's  
Internet hyperlinks to web sites and a bibliography of articles.  
 

 

Downloads (Shooting Methods for ODE's Shooting Methods for ODE's).  
Download this Mathematica notebook.  

 

 

 

 

 

 

 

 

 

 

(c) John H. Mathews 2003