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Learning Intention and Success
Criteria
 Learning Intention: Students will understand the
what types of matrices have inverses, and how the
process for calculating the inverse.
 Success Criteria: You will be able calculate the
determinant of a matrix, explain how the determinant
relates to the inverse, and calculate the inverse of a
matrix
Prior Knowledge
 Given a matrix 𝐴 and the identity matrix 𝐼, we have shown
that 𝐴 × 𝐼 = 𝐴 = 𝐼 × 𝐴
Calculate
2 3
3 5
×
5 −3
−3 2
.
2 3
3 5
×
5 −3
−3 2
=
2 × 5 + 3 × −3 2 × −3 + 3 × 2
3 × 5 + 5 × −3 3 × −3 + 5 × 2
=
1 0
0 1
What is an inverse?
 If two matrices are multiplied together and the result
is the identity matrix, we say that the matrices are
inverses of one another
 For a matrix 𝐴, the inverse is denoted 𝐴−1.
 The inverse matrix has the property that:
𝐴 × 𝐴−1
= 𝐼 = 𝐴−1
× 𝐴
 Since 𝐴 × 𝐴−1
and 𝐴−1
× 𝐴 are both defined, 𝐴 must
be a square matrix
The Determinant
 Determinant: A value for every square matrix which
defines the invertability (whether or not a matrix can
be inverted) of a matrix.
 Notation: det(𝐴) or 𝐴
 For a 2 × 2 matrix, defined as 𝐴 =
𝑎 𝑏
𝑐 𝑑
, the
determinant is calculated as:
det 𝐴 = 𝐴 = 𝑎 × 𝑑 − 𝑏 × 𝑐
 For larger matrices, the determinant can be calculated
using the CAS (Menu  7  3)
Examples
Calculate the determinant of the follow matrices
1.
1 2
3 4
2.
5 −2
−7 3
3.
−2 4
3 −6
4.
1 0 −2
3 5 −2
1 5 3
Examples
Calculate the determinant of the follow matrices
1.
1 2
3 4
= 1 × 4 − 2 × 3 = −2
2.
5 −2
−7 3
3.
−2 4
3 −6
4.
1 0 −2
3 5 −2
1 5 3
Examples
Calculate the determinant of the follow matrices
1.
1 2
3 4
= −2
2.
5 −2
−7 3
= 5 × 3 − −2 × −7 = 1
3.
−2 4
3 −6
4.
1 0 −2
3 5 −2
1 5 3
Examples
Calculate the determinant of the follow matrices
1.
1 2
3 4
= −2
2.
5 −2
−7 3
= 1
3.
−2 4
3 −6
= −2 × −6 − 4 × 3 = 0
4.
1 0 −2
3 5 −2
1 5 3
Examples
Calculate the determinant of the follow matrices
1.
1 2
3 4
= −2
2.
5 −2
−7 3
= 1
3.
−2 4
3 −6
= 0
4.
1 0 −2
3 5 −2
1 5 3
= 5 (𝑢𝑠𝑖𝑛𝑔 𝑡ℎ𝑒 𝐶𝐴𝑆)
What does the determinant mean?
 Given a square matrix 𝐴,
 If det 𝐴 = 0, then 𝐴 does not have an inverse. There is
no matrix that we can multiply 𝐴 by to get the identity
matrix
 Also known as 𝐴 is singular
 If det 𝐴 ≠ 0, then 𝐴 has an inverse. There is a matrix
we can multiply 𝐴 by to get the identity matrix
 Also 𝐴 is known as regular or non-singular
Examples
Are each of the matrices below invertable?
1.
1 2
3 4
Yes, non-singular
2.
5 −2
−7 3
Yes, non-singular
3.
−2 4
3 −6
No, singular
4.
1 0 −2
3 5 −2
1 5 3
Yes, non-singular
Determining the inverse of a matrix
 To determine the inverse of a 2 × 2 matrix
 Given 𝐴 =
𝑎 𝑏
𝑐 𝑑
𝐴−1
=
1
det 𝐴
×
𝑑 −𝑏
−𝑐 𝑎
=
1
𝑎𝑑 − 𝑏𝑐
×
𝑑 −𝑏
−𝑐 𝑎
=
𝑑
𝑎𝑑 − 𝑏𝑐
−
𝑏
𝑎𝑑 − 𝑏𝑐
−
𝑐
𝑎𝑑 − 𝑏𝑐
𝑎
𝑎𝑑 − 𝑏𝑐
Example 1
Show that 𝐹 =
−7 −5
4 3
is invertible, and calculate the
inverse.
det 𝐹 = 𝑎𝑑 − 𝑏𝑐
= −7 3 − −5 4
= −21 + 20
= −1
Since det 𝐹 ≠ 0, 𝐹 is invertible (non-singular)
Example 1 Continued
𝐹−1
=
1
𝑎𝑑 − 𝑏𝑐
×
𝑑 −𝑏
−𝑐 𝑎
=
1
−1
×
3 −(−5)
− 4 −7
= −1 ×
3 5
−4 −7
=
−3 −5
4 7
Checking Inverses
 To check whether or not two square matrices 𝐴 and 𝐵 are
inverses, multiply them together.
 If 𝐴 × 𝐵 = 𝐼, then they are inverses. Otherwise, they are not.
 Example: Are
1 0 −1
0 2 1
1 3 1
and
2 1.5 −1
−1 −1 1
1 1.5 0
inverses?
1 0 −1
0 2 1
1 3 1
×
2 1.5 −1
−1 −1 1
1 1.5 0
=
1 0 −1
0 1 2
0 0 2
They are not inverses.
On the CAS
 To calculate the inverse on the CAS:
 Type the matrix, then l-1. Press Enter.

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Calculating Matrix Inverses

  • 1.
  • 2. Learning Intention and Success Criteria  Learning Intention: Students will understand the what types of matrices have inverses, and how the process for calculating the inverse.  Success Criteria: You will be able calculate the determinant of a matrix, explain how the determinant relates to the inverse, and calculate the inverse of a matrix
  • 3. Prior Knowledge  Given a matrix 𝐴 and the identity matrix 𝐼, we have shown that 𝐴 × 𝐼 = 𝐴 = 𝐼 × 𝐴 Calculate 2 3 3 5 × 5 −3 −3 2 . 2 3 3 5 × 5 −3 −3 2 = 2 × 5 + 3 × −3 2 × −3 + 3 × 2 3 × 5 + 5 × −3 3 × −3 + 5 × 2 = 1 0 0 1
  • 4. What is an inverse?  If two matrices are multiplied together and the result is the identity matrix, we say that the matrices are inverses of one another  For a matrix 𝐴, the inverse is denoted 𝐴−1.  The inverse matrix has the property that: 𝐴 × 𝐴−1 = 𝐼 = 𝐴−1 × 𝐴  Since 𝐴 × 𝐴−1 and 𝐴−1 × 𝐴 are both defined, 𝐴 must be a square matrix
  • 5. The Determinant  Determinant: A value for every square matrix which defines the invertability (whether or not a matrix can be inverted) of a matrix.  Notation: det(𝐴) or 𝐴  For a 2 × 2 matrix, defined as 𝐴 = 𝑎 𝑏 𝑐 𝑑 , the determinant is calculated as: det 𝐴 = 𝐴 = 𝑎 × 𝑑 − 𝑏 × 𝑐  For larger matrices, the determinant can be calculated using the CAS (Menu  7  3)
  • 6. Examples Calculate the determinant of the follow matrices 1. 1 2 3 4 2. 5 −2 −7 3 3. −2 4 3 −6 4. 1 0 −2 3 5 −2 1 5 3
  • 7. Examples Calculate the determinant of the follow matrices 1. 1 2 3 4 = 1 × 4 − 2 × 3 = −2 2. 5 −2 −7 3 3. −2 4 3 −6 4. 1 0 −2 3 5 −2 1 5 3
  • 8. Examples Calculate the determinant of the follow matrices 1. 1 2 3 4 = −2 2. 5 −2 −7 3 = 5 × 3 − −2 × −7 = 1 3. −2 4 3 −6 4. 1 0 −2 3 5 −2 1 5 3
  • 9. Examples Calculate the determinant of the follow matrices 1. 1 2 3 4 = −2 2. 5 −2 −7 3 = 1 3. −2 4 3 −6 = −2 × −6 − 4 × 3 = 0 4. 1 0 −2 3 5 −2 1 5 3
  • 10. Examples Calculate the determinant of the follow matrices 1. 1 2 3 4 = −2 2. 5 −2 −7 3 = 1 3. −2 4 3 −6 = 0 4. 1 0 −2 3 5 −2 1 5 3 = 5 (𝑢𝑠𝑖𝑛𝑔 𝑡ℎ𝑒 𝐶𝐴𝑆)
  • 11. What does the determinant mean?  Given a square matrix 𝐴,  If det 𝐴 = 0, then 𝐴 does not have an inverse. There is no matrix that we can multiply 𝐴 by to get the identity matrix  Also known as 𝐴 is singular  If det 𝐴 ≠ 0, then 𝐴 has an inverse. There is a matrix we can multiply 𝐴 by to get the identity matrix  Also 𝐴 is known as regular or non-singular
  • 12. Examples Are each of the matrices below invertable? 1. 1 2 3 4 Yes, non-singular 2. 5 −2 −7 3 Yes, non-singular 3. −2 4 3 −6 No, singular 4. 1 0 −2 3 5 −2 1 5 3 Yes, non-singular
  • 13. Determining the inverse of a matrix  To determine the inverse of a 2 × 2 matrix  Given 𝐴 = 𝑎 𝑏 𝑐 𝑑 𝐴−1 = 1 det 𝐴 × 𝑑 −𝑏 −𝑐 𝑎 = 1 𝑎𝑑 − 𝑏𝑐 × 𝑑 −𝑏 −𝑐 𝑎 = 𝑑 𝑎𝑑 − 𝑏𝑐 − 𝑏 𝑎𝑑 − 𝑏𝑐 − 𝑐 𝑎𝑑 − 𝑏𝑐 𝑎 𝑎𝑑 − 𝑏𝑐
  • 14. Example 1 Show that 𝐹 = −7 −5 4 3 is invertible, and calculate the inverse. det 𝐹 = 𝑎𝑑 − 𝑏𝑐 = −7 3 − −5 4 = −21 + 20 = −1 Since det 𝐹 ≠ 0, 𝐹 is invertible (non-singular)
  • 15. Example 1 Continued 𝐹−1 = 1 𝑎𝑑 − 𝑏𝑐 × 𝑑 −𝑏 −𝑐 𝑎 = 1 −1 × 3 −(−5) − 4 −7 = −1 × 3 5 −4 −7 = −3 −5 4 7
  • 16. Checking Inverses  To check whether or not two square matrices 𝐴 and 𝐵 are inverses, multiply them together.  If 𝐴 × 𝐵 = 𝐼, then they are inverses. Otherwise, they are not.  Example: Are 1 0 −1 0 2 1 1 3 1 and 2 1.5 −1 −1 −1 1 1 1.5 0 inverses? 1 0 −1 0 2 1 1 3 1 × 2 1.5 −1 −1 −1 1 1 1.5 0 = 1 0 −1 0 1 2 0 0 2 They are not inverses.
  • 17. On the CAS  To calculate the inverse on the CAS:  Type the matrix, then l-1. Press Enter.