- 
    
Determinants:
Consider row reducing the standard 2x2 matrix.  Suppose that a is nonzero.
    
 
    
      
        | 
1/a R1 ->  R1
         | 
        
R2 - cR1  -> R2
         | 
      
      
        | 
          
         | 
        
          
         | 
      
    
Now notice that we cannot make the lower right corner a 1 if
        d - cb/a = 0 
 or
        ad - bc = 0
    
      
        | 
 
         
Definition of the Determinant
 
We call  ad - bc the  determinant of the 2 by 2
matrix  | 
        
         | 
      
    
it tells us when it is possible to row reduce the matrix and find a solution
to the linear system.
Example:  
The determinant of the matrix
    
is 
        3(2) - 1(5) = 6 - 5 = 1
  
 
  - 
Determinants of Three by Three Matrices
We define the determinant of a triangular matrix
 
by  
        det = abc
Notice that if we multiply a row by a constant k then the new determinant
is k times the old one.  We list the effect of all three row operations
below.
    
      
        
                    
Theorem 
           
          The effect of the the three basic row operations on
the determinant are as follows
          
            - Multiplication of a row by a constant multiplies the determinant
by that constant.
 
               
            - Switching two rows changes the sign of the determinant.
 
               
            - Replacing one row by that row + a multiply of another row has no
effect on the determinant.
 
           
         | 
      
    
To find the determinant of a matrix we use the operations to make the matrix
triangular and then work backwards.
Example:
Find the determinant of
We use row operations until the matrix is triangular.
        1/2 R1 <-> R1    
(Multiplies the determinant by
1/2)
  
        R2 - 2R1 -> R2    
(No effect
on the determinant)
Note that we do not need to zero out the upper
middle number.  We only need to zero out the bottom left numbers.
R3 + 2R2 ->  R3    
(No effect on the determinant)  
Note that we do not need to make the  middle number
a 1.
The determinant of this matrix is 48. Since this matrix has 1/2 the determinant
of the original matrix, the determinant of the original matrix has 
        determinant = 48(2) = 96.
  
 
  - 
Inverses
We call the square matrix I with all 1's down the diagonal and zeros
everywhere else the identity matrix.  It has the unique property
that if  A is a square matrix with the same dimensions then
        AI = IA = A
 
Definition
If A is a square matrix then the inverse A-1 
of A is the
unique matrix such that
    
Example:  
Let 
    
then
    
Verify this!
    
      
        | 
 
                   
Theorem 
 
The inverse of a matrix exists if and only if the
determinant is nonzero.  | 
      
    
To find the inverse of a matrix, we write a new extended matrix with the
identity on the right.  Then we completely row reduce, the resulting
matrix on the right will be the inverse matrix.
Example:
First note that the determinant of this matrix is 
        -2 + 1 = -1
hence the
inverse exists.  Now we set the augmented matrix as
    
      
        | 
         | 
        
R1 <-> R2   | 
        
R2 - 2R1 -> R2
         | 
        
R1 + R2  -> R1
         | 
      
      
        | 
         | 
        
         | 
        
         | 
        
         | 
      
    
Notice that the left hand part is now the identity.  The right hand
side is the inverse.  Hence
 
    
 
 
  - 
Solving Equations Using Matrices
Example:
Suppose we have the system
        2x - y = 3
        x - y = 4
Then we can write this in matrix form
        Ax = b
where
    
We can multiply both sides by  A-1:
        A-1A x = A-1b
or 
        x = A-1b
From before,
    
Hence our solution is
 
or 
        x = -1    
and     y = 5
 
 
  - 
The Easy Way
A graphing calculator can be used to work all of the above problems.