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Determinants:
Consider row reducing the standard 2x2 matrix. Suppose that a is nonzero.
1/a R1 -> R1
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R2 - cR1 -> R2
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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 |
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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
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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.
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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.
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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
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R1 + R2 -> R1
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|
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Notice that the left hand part is now the identity. The right hand
side is the inverse. Hence
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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
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The Easy Way
A graphing calculator can be used to work all of the above problems.