Example 1.  Find the nontrivial solutions to the homogeneous system  
        [Graphics:Images/EigenvaluesMod_gr_6.gif]

Solution 1.

Use Gaussian elimination to eliminate  [Graphics:../Images/EigenvaluesMod_gr_7.gif]  and the result is  

        
[Graphics:../Images/EigenvaluesMod_gr_8.gif]

Since the third equation is a multiple of the second equation, this system reduces to two equations in three unknowns:

        
[Graphics:../Images/EigenvaluesMod_gr_9.gif]  

We can select one unknown and use it as a parameter.  For instance, let  [Graphics:../Images/EigenvaluesMod_gr_10.gif];  then the second equation implies that  [Graphics:../Images/EigenvaluesMod_gr_11.gif]and the first equation is used to compute [Graphics:../Images/EigenvaluesMod_gr_12.gif].  Therefore, the solution can be expressed as the set of relations:

        
[Graphics:../Images/EigenvaluesMod_gr_13.gif]  
    or
        [Graphics:../Images/EigenvaluesMod_gr_14.gif]

We can fin the solution by entering the equations into Mathematica.  

[Graphics:../Images/EigenvaluesMod_gr_15.gif]

Identify the matrix of coefficients A and column vector B for the matrix problem AX = B.  

[Graphics:../Images/EigenvaluesMod_gr_16.gif]

[Graphics:../Images/EigenvaluesMod_gr_17.gif]

 

 

Form the augmented matrix  M = [A, B]  and perform Gauss-Jordan elimination with row interchanges.

[Graphics:../Images/EigenvaluesMod_gr_18.gif]

[Graphics:../Images/EigenvaluesMod_gr_19.gif]

Find the reduced row echelon form of the augmented matrix  M = [A, B].  

[Graphics:../Images/EigenvaluesMod_gr_20.gif]

[Graphics:../Images/EigenvaluesMod_gr_21.gif]

[Graphics:../Images/EigenvaluesMod_gr_22.gif]

[Graphics:../Images/EigenvaluesMod_gr_23.gif]

[Graphics:../Images/EigenvaluesMod_gr_24.gif]

[Graphics:../Images/EigenvaluesMod_gr_25.gif]

[Graphics:../Images/EigenvaluesMod_gr_26.gif]

[Graphics:../Images/EigenvaluesMod_gr_27.gif]

The equation form for this matrix is  

        [Graphics:../Images/EigenvaluesMod_gr_28.gif]

There is one free variable which we choose to be  [Graphics:../Images/EigenvaluesMod_gr_29.gif].  It is used in computing  [Graphics:../Images/EigenvaluesMod_gr_30.gif].  

The solution vector  [Graphics:../Images/EigenvaluesMod_gr_31.gif]  is

[Graphics:../Images/EigenvaluesMod_gr_32.gif]

We are done.

Aside.  We can verify that this is the solution by direct multiplication A X.  This is just for fun !

[Graphics:../Images/EigenvaluesMod_gr_33.gif]

[Graphics:../Images/EigenvaluesMod_gr_34.gif]

 

 

Aside.  We can let Mathematica find the reduced row echelon matrix.  This is just for fun !

[Graphics:../Images/EigenvaluesMod_gr_35.gif]


[Graphics:../Images/EigenvaluesMod_gr_36.gif]

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

(c) John H. Mathews 2004