Announcements




     Please bring any grade related questions regarding exam 1
     without delay.
     Homework set for...
Section 3.1 Introduction to Determinants


    1. A 2 × 2 matrix   A   is invertible if and only if det A= 0.
Section 3.1 Introduction to Determinants


    1. A 2 × 2 matrix A is invertible if and only if det A= 0.
    2. We can no...
Section 3.1 Introduction to Determinants


    1. A 2 × 2 matrix A is invertible if and only if det A= 0.
    2. We can no...
Section 3.1 Introduction to Determinants


    1. A 2 × 2 matrix A is invertible if and only if det A= 0.
    2. We can no...
Determinant of a 2 × 2 matrix



   You know this one!!
Determinant of a 2 × 2 matrix



   You know this one!!


   If
                                         a11   a12
       ...
What about a 3 × 3 matrix?




   If                                        
                            a11   a12   a13...
What about a 3 × 3 matrix?




   If                                              
                                  a11...
What about a 3 × 3 matrix?
   You can start the computation using any row or column as an
   anchor.
What about a 3 × 3 matrix?
   You can start the computation using any row or column as an
   anchor.

   Suppose you choos...
What about a 3 × 3 matrix?
   You can start the computation using any row or column as an
   anchor.

   Suppose you choos...
What about a 3 × 3 matrix?
   You can start the computation using any row or column as an
   anchor.

   Suppose you choos...
What about a 3 × 3 matrix?
   You can start the computation using any row or column as an
   anchor.

   Suppose you choos...
Multiply   a11   with the determinant of the remaining matrix
                              a22   a23

                   ...
Multiply   a11   with the determinant of the remaining matrix
                                a22    a23

                ...
Multiply   a11   with the determinant of the remaining matrix
                              a22   a23

                   ...
Multiply   a11   with the determinant of the remaining matrix
                              a22    a23

                  ...
Thus the second term is −a12 (a21 a33 − a31 a23 ).
Thus the second term is −a12 (a21 a33 − a31 a23 ).
To get the third term of det A, cover the row and column
corresponding ...
Thus the second term is −a12 (a21 a33 − a31 a23 ).
To get the third term of det A, cover the row and column
corresponding ...
Thus the second term is −a12 (a21 a33 − a31 a23 ).
To get the third term of det A, cover the row and column
corresponding ...
Add the 3 terms you obtained above
   (
a11 a22 a33   − a32 a23 ) − a12 (a21 a33 − a31 a23 ) + a13 (a21 a32 − a31 a22 )
Th...
Add the 3 terms you obtained above
   (
a11 a22 a33   − a32 a23 ) − a12 (a21 a33 − a31 a23 ) + a13 (a21 a32 − a31 a22 )
Th...
Add the 3 terms you obtained above
   (
a11 a22 a33   − a32 a23 ) − a12 (a21 a33 − a31 a23 ) + a13 (a21 a32 − a31 a22 )
Th...
Add the 3 terms you obtained above
   (
a11 a22 a33   − a32 a23 ) − a12 (a21 a33 − a31 a23 ) + a13 (a21 a32 − a31 a22 )
Th...
FAQs
FAQs

       Which row to choose for anchor? Any row (or column)!!
FAQs

       Which row to choose for anchor? Any row (or column)!!
       Any caveats?? Yes!! Need to make sure that you d...
FAQs

       Which row to choose for anchor? Any row (or column)!!
       Any caveats?? Yes!! Need to make sure that you d...
FAQs

       Which row to choose for anchor? Any row (or column)!!
       Any caveats?? Yes!! Need to make sure that you d...
Before we go further..


   Notation: Use a pair of vertical lines for determinants.
Before we go further..


   Notation: Use a pair of vertical lines for determinants.
   Example
   If
                    ...
Going back to our 3 × 3 matrix

                                              
                             a11   a12   ...
Going back to our 3 × 3 matrix

                                                        
                               ...
Going back to our 3 × 3 matrix

                                                                
                       ...
Going back to our 3 × 3 matrix

                                                                
                       ...
In General..

   Theorem
In General..

   Theorem
     1.   The determinant of an n   ×n   matrix A can be computed by

          cofactor expansio...
In General..

   Theorem
     1.   The determinant of an n      ×n    matrix A can be computed by

          cofactor expa...
In General..

   Theorem
     1.   The determinant of an n      ×n    matrix A can be computed by

          cofactor expa...
Example 2, section 3.1

   Compute using cofactor expansion along rst row.

                              0 5 1
          ...
Example 2, section 3.1

   Compute using cofactor expansion along rst row.

                                        0 5 1
...
Example 2, section 3.1

   Compute using cofactor expansion along rst row.

                                        0 5 1
...
Example 2, section 3.1

   Compute using cofactor expansion along rst row.

                                        0 5 1
...
Example 2, section 3.1

   Compute using cofactor expansion along rst row.

                                        0 5 1
...
Example 2, section 3.1


   Compute using cofactor expansion down the second column.

                             0 5 1
 ...
Example 2, section 3.1


   Compute using cofactor expansion down the second column.

                               0 5 1...
Example 2, section 3.1


   Compute using cofactor expansion down the second column.

                               0 5 1...
Example 2, section 3.1


      0    5   1

      4   −3   0

      2    4   1
Example 2, section 3.1


      0    5   1
                           0 1
      4   −3   0   =⇒ −3       =6
               ...
Example 2, section 3.1


      0    5   1
                           0 1
      4   −3   0   =⇒ −3       =6
               ...
Example 2, section 3.1


      0    5   1
                           0 1
      4   −3   0   =⇒ −3       =6
               ...
Example 2, section 3.1


      0    5     1
                             0 1
      4    −3    0   =⇒ −3       =6
         ...
Comments
Comments




   1. Again, be careful with the alternating signs.
Comments




   1. Again, be careful with the alternating signs.
   2. If you are expanding down the second column, the rs...
Example 8, section 3.1
   Compute using cofactor expansion along rst row.
                              8 1 6
            ...
Example 8, section 3.1
   Compute using cofactor expansion along rst row.
                              8 1 6
            ...
Example 8, section 3.1
   Compute using cofactor expansion along rst row.
                                   8 1 6
       ...
Example 8, section 3.1
   Compute using cofactor expansion along rst row.
                                     8 1 6
     ...
Example 8, section 3.1
   Compute using cofactor expansion along rst row.
                                     8 1 6
     ...
Denition
A square matrix A is a Triangular matrix if the entries above   OR
below the main diagonal are ALL zeros
Denition
A square matrix A is a Triangular matrix if the entries above   OR
below the main diagonal are ALL zeros

Theorem...
Example
If
                1   2 377 4  514   6
                                        
            
               0...
Example
If
                1   2 377 4  514   6
                                              
            
           ...
Larger Convenient Matrices




    1. If you have a 4 × 4 or larger matrix with a row or column
       mostly zeros, use t...
Larger Convenient Matrices




    1. If you have a 4 × 4 or larger matrix with a row or column
       mostly zeros, use t...
Larger Convenient Matrices




    1. If you have a 4 × 4 or larger matrix with a row or column
       mostly zeros, use t...
Example 10, section 3.1

   Compute the following determinant using least amount of
   computation.
                      ...
Example 10, section 3.1

   Compute the following determinant using least amount of
   computation.
                      ...
Example 10, section 3.1

   Compute the following determinant using least amount of
   computation.
                      ...
Slide corrected on Feb 2, 12.00pm

   1    −2     5     2

   0     0     3     0

   2    −6    −7     5

   5     0     ...
Slide corrected on Feb 2, 12.00pm

   1    −2     5     2

   0     0     3     0          1 −2 2
                        ...
Slide corrected on Feb 2, 12.00pm

   1     −2    5     2

   0     0     3     0          1 −2 2
                        ...
1   −2       2

2   −6       5

5   0        4


                    −2 2
        det A = 5
                    −6 5
     ...
1   −2       2           1   −2    2

2   −6       5           2   −6    5

5   0        4           5   0     4


       ...
1     −2        2           1   −2    2       1        −2   2

   2     −6        5           2   −6    5       2        −...
Sarrus' Mnemonic Rule




    1. An easy to remember method for 3 × 3 matrices
Sarrus' Mnemonic Rule




    1. An easy to remember method for 3 × 3 matrices
    2. DO NOT apply this method for larger ...
Sarrus' Mnemonic Rule




    1. An easy to remember method for 3 × 3 matrices
    2. DO NOT apply this method for larger ...
Sarrus' Mnemonic Rule



      a11   a12   a13



      a21   a22   a23



      a31   a32   a33



      a11   a12   a13
...
Sarrus' Mnemonic Rule


    +
        a11   a12   a13



        a21   a22   a23



        a31   a32   a33



        a11...
Sarrus' Mnemonic Rule


    +
        a11   a12   a13
    +
        a21   a22   a23



        a31   a32   a33



        ...
Sarrus' Mnemonic Rule


    +
        a11   a12   a13
    +
        a21   a22   a23
    +
        a31   a32   a33



     ...
Sarrus' Mnemonic Rule


    +
        a11   a12   a13
    +
        a21   a22   a23
    +
        a31   a32   a33


    −
...
Sarrus' Mnemonic Rule


    +
        a11   a12   a13
    +
        a21   a22   a23
    +
        a31   a32   a33


    −
...
Sarrus' Mnemonic Rule


    +
        a11   a12   a13
    +
        a21   a22   a23
    +
        a31   a32   a33


    −
...
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Determinants

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Determinants

  1. 1. Announcements Please bring any grade related questions regarding exam 1 without delay. Homework set for exam 2 has been uploaded. Please check it often, I may make small inclusions/exclusions. Planning to do parts of chapters 3, 5 and 6 for exam 2. Last day to drop this class with grade "W" is Feb 4.
  2. 2. Section 3.1 Introduction to Determinants 1. A 2 × 2 matrix A is invertible if and only if det A= 0.
  3. 3. Section 3.1 Introduction to Determinants 1. A 2 × 2 matrix A is invertible if and only if det A= 0. 2. We can now extend this idea to a 3 × 3 or larger matrices.
  4. 4. Section 3.1 Introduction to Determinants 1. A 2 × 2 matrix A is invertible if and only if det A= 0. 2. We can now extend this idea to a 3 × 3 or larger matrices. 3. Determinants exist only for square matrices. Notation The notation aij means the element in the i -th row and j -th column of a matrix.
  5. 5. Section 3.1 Introduction to Determinants 1. A 2 × 2 matrix A is invertible if and only if det A= 0. 2. We can now extend this idea to a 3 × 3 or larger matrices. 3. Determinants exist only for square matrices. Notation The notation aij means the element in the i -th row and j -th column of a matrix. So a23 means the element in the second row, third column of a given matrix.
  6. 6. Determinant of a 2 × 2 matrix You know this one!!
  7. 7. Determinant of a 2 × 2 matrix You know this one!! If a11 a12 A = a21 a22 Here, det A =a11 a22 − a21 a12 . It is a number.
  8. 8. What about a 3 × 3 matrix? If   a11 a12 a13 A = a21 a22 a23  a31 a32 a33
  9. 9. What about a 3 × 3 matrix? If   a11 a12 a13 A = a21 a22 a23  a31 a32 a33 We have to break this down to multiple 2 × 2 determinants.
  10. 10. What about a 3 × 3 matrix? You can start the computation using any row or column as an anchor.
  11. 11. What about a 3 × 3 matrix? You can start the computation using any row or column as an anchor. Suppose you choose the rst row. Each entry of the rst row will give one term each as follows.
  12. 12. What about a 3 × 3 matrix? You can start the computation using any row or column as an anchor. Suppose you choose the rst row. Each entry of the rst row will give one term each as follows. Add the terms at the end to get det A.
  13. 13. What about a 3 × 3 matrix? You can start the computation using any row or column as an anchor. Suppose you choose the rst row. Each entry of the rst row will give one term each as follows. Add the terms at the end to get det A. To get the rst term of det A, cover the row and column corresponding to a11 .
  14. 14. What about a 3 × 3 matrix? You can start the computation using any row or column as an anchor. Suppose you choose the rst row. Each entry of the rst row will give one term each as follows. Add the terms at the end to get det A. To get the rst term of det A, cover the row and column corresponding to a11 . a11 a12 a13 a21 a22 a23 a31 a32 a33
  15. 15. Multiply a11 with the determinant of the remaining matrix a22 a23 a32 a33
  16. 16. Multiply a11 with the determinant of the remaining matrix a22 a23 a32 a33 Thus the rst term is ( a11 a22 a33 − a32 a23 ).
  17. 17. Multiply a11 with the determinant of the remaining matrix a22 a23 a32 a33 Thus the rst term is a11 (a22 a33 − a32 a23 ). To get the second term of det A, cover the row and column corresponding to a12 . a11 a12 a13 a21 a22 a23 a31 a32 a33
  18. 18. Multiply a11 with the determinant of the remaining matrix a22 a23 a32 a33 Thus the rst term is a11 (a22 a33 − a32 a23 ). To get the second term of det A, cover the row and column corresponding to a12 . a11 a12 a13 a21 a22 a23 a31 a32 a33 Multiply the negative of a12 with the determinant of the remaining matrix a21 a23 a31 a33
  19. 19. Thus the second term is −a12 (a21 a33 − a31 a23 ).
  20. 20. Thus the second term is −a12 (a21 a33 − a31 a23 ). To get the third term of det A, cover the row and column corresponding to a13 . a11 a12 a13 a21 a22 a23 a31 a32 a33
  21. 21. Thus the second term is −a12 (a21 a33 − a31 a23 ). To get the third term of det A, cover the row and column corresponding to a13 . a11 a12 a13 a21 a22 a23 a31 a32 a33 Multiply a13 with the determinant of the remaining matrix a21 a22 a31 a32
  22. 22. Thus the second term is −a12 (a21 a33 − a31 a23 ). To get the third term of det A, cover the row and column corresponding to a13 . a11 a12 a13 a21 a22 a23 a31 a32 a33 Multiply a13 with the determinant of the remaining matrix a21 a22 a31 a32 Thus the second term is ( a13 a21 a32 − a31 a22 ).
  23. 23. Add the 3 terms you obtained above ( a11 a22 a33 − a32 a23 ) − a12 (a21 a33 − a31 a23 ) + a13 (a21 a32 − a31 a22 ) This is det A for a 3 × 3 matrix A.
  24. 24. Add the 3 terms you obtained above ( a11 a22 a33 − a32 a23 ) − a12 (a21 a33 − a31 a23 ) + a13 (a21 a32 − a31 a22 ) This is det A for a 3 × 3 matrix A. DO NOT try to memorize this as a formula
  25. 25. Add the 3 terms you obtained above ( a11 a22 a33 − a32 a23 ) − a12 (a21 a33 − a31 a23 ) + a13 (a21 a32 − a31 a22 ) This is det A for a 3 × 3 matrix A. DO NOT try to memorize this as a formula Remember the steps (all the covering and multiplying games)!!
  26. 26. Add the 3 terms you obtained above ( a11 a22 a33 − a32 a23 ) − a12 (a21 a33 − a31 a23 ) + a13 (a21 a32 − a31 a22 ) This is det A for a 3 × 3 matrix A. DO NOT try to memorize this as a formula Remember the steps (all the covering and multiplying games)!! To nd determinant of a 4 × 4 matrix A, break it down into four 3 × 3 determinants using the same idea. (more work). This method works for a square matrix of any size.
  27. 27. FAQs
  28. 28. FAQs Which row to choose for anchor? Any row (or column)!!
  29. 29. FAQs Which row to choose for anchor? Any row (or column)!! Any caveats?? Yes!! Need to make sure that you do proper sign alternating depending on which row or column you choose. Keep the following in mind.   + − + A= − + −  + − +
  30. 30. FAQs Which row to choose for anchor? Any row (or column)!! Any caveats?? Yes!! Need to make sure that you do proper sign alternating depending on which row or column you choose. Keep the following in mind.   + − + A= − + −  + − + So, if you decide to use second column, the rst term will be negative, the second positive and the third negative. (with proper covering and multiplying)
  31. 31. FAQs Which row to choose for anchor? Any row (or column)!! Any caveats?? Yes!! Need to make sure that you do proper sign alternating depending on which row or column you choose. Keep the following in mind.   + − + A= − + −  + − + So, if you decide to use second column, the rst term will be negative, the second positive and the third negative. (with proper covering and multiplying) Choose a row or column with as many zeros as possible.
  32. 32. Before we go further.. Notation: Use a pair of vertical lines for determinants.
  33. 33. Before we go further.. Notation: Use a pair of vertical lines for determinants. Example If 1 2 3   A= 4 5 6  7 8 9 then 1 2 3 det A = 4 5 6 7 8 9
  34. 34. Going back to our 3 × 3 matrix   a11 a12 a13 A = a21 a22 a23 , a31 a32 a33
  35. 35. Going back to our 3 × 3 matrix   a11 a12 a13 A = a21 a22 a23 , a31 a32 a33 we can write a22 a23 a21 a23 a21 a22 det A = a11 −a12 +a13 a32 a33 a31 a33 a31 a32 C11 C12 C13
  36. 36. Going back to our 3 × 3 matrix   a11 a12 a13 A = a21 a22 a23 , a31 a32 a33 we can write a22 a23 a21 a23 a21 a22 det A = a11 −a12 +a13 a32 a33 a31 a33 a31 a32 C11 C12 C13 Here C11 , C12 and C13 are called the cofactors of A.
  37. 37. Going back to our 3 × 3 matrix   a11 a12 a13 A = a21 a22 a23 , a31 a32 a33 we can write a22 a23 a21 a23 a21 a22 det A = a11 −a12 +a13 a32 a33 a31 a33 a31 a32 C11 C12 C13 Here C11 , C12 and C13 are called the cofactors of A. This method of computing determinants is called cofactor expansion across rst row.
  38. 38. In General.. Theorem
  39. 39. In General.. Theorem 1. The determinant of an n ×n matrix A can be computed by cofactor expansion along any row or column.
  40. 40. In General.. Theorem 1. The determinant of an n ×n matrix A can be computed by cofactor expansion along any row or column. 2. Expansion across the i th row will be det A = ai 1 Ci 1 + ai 2 Ci 2 + . . . + ain Cin . Don't forget to take care of proper sign alternations depending on the row.
  41. 41. In General.. Theorem 1. The determinant of an n ×n matrix A can be computed by cofactor expansion along any row or column. 2. Expansion across the i th row will be det A = ai 1 Ci 1 + ai 2 Ci 2 + . . . + ain Cin . Don't forget to take care of proper sign alternations depending on the row. 3. Expansion across the j th column will be det A = a1j C1j + a2j C2j + . . . + anj Cnj . Don't forget to take care of proper sign alternations depending on the column.
  42. 42. Example 2, section 3.1 Compute using cofactor expansion along rst row. 0 5 1 4 −3 0 2 4 1
  43. 43. Example 2, section 3.1 Compute using cofactor expansion along rst row. 0 5 1 4 −3 0 2 4 1 Solution: −3 0 det A = 0 4 1 −3
  44. 44. Example 2, section 3.1 Compute using cofactor expansion along rst row. 0 5 1 4 −3 0 2 4 1 Solution: −3 0 4 0 det A = 0 −5 4 1 2 1 −3 4
  45. 45. Example 2, section 3.1 Compute using cofactor expansion along rst row. 0 5 1 4 −3 0 2 4 1 Solution: −3 0 4 0 4 −3 det A = 0 −5 +1 4 1 2 1 2 4 −3 4 22
  46. 46. Example 2, section 3.1 Compute using cofactor expansion along rst row. 0 5 1 4 −3 0 2 4 1 Solution: −3 0 4 0 4 −3 det A = 0 −5 +1 4 1 2 1 2 4 −3 4 22 = 0 − 20 + 22 = 2
  47. 47. Example 2, section 3.1 Compute using cofactor expansion down the second column. 0 5 1 4 −3 0 2 4 1
  48. 48. Example 2, section 3.1 Compute using cofactor expansion down the second column. 0 5 1 4 −3 0 2 4 1 0 5 1 Solution: 4 −3 0 2 4 1
  49. 49. Example 2, section 3.1 Compute using cofactor expansion down the second column. 0 5 1 4 −3 0 2 4 1 0 5 1 4 0 Solution: 4 −3 0 =⇒ −5 = −20 2 1 4 2 4 1
  50. 50. Example 2, section 3.1 0 5 1 4 −3 0 2 4 1
  51. 51. Example 2, section 3.1 0 5 1 0 1 4 −3 0 =⇒ −3 =6 2 1 −2 2 4 1
  52. 52. Example 2, section 3.1 0 5 1 0 1 4 −3 0 =⇒ −3 =6 2 1 −2 2 4 1 0 5 1 4 −3 0 2 4 1
  53. 53. Example 2, section 3.1 0 5 1 0 1 4 −3 0 =⇒ −3 =6 2 1 −2 2 4 1 0 5 1 0 1 4 −3 0 =⇒ −4 = 16. 4 0 −4 2 4 1
  54. 54. Example 2, section 3.1 0 5 1 0 1 4 −3 0 =⇒ −3 =6 2 1 −2 2 4 1 0 5 1 0 1 4 −3 0 =⇒ −4 = 16. 4 0 −4 2 4 1 Add these terms, -20+6+16=2.
  55. 55. Comments
  56. 56. Comments 1. Again, be careful with the alternating signs.
  57. 57. Comments 1. Again, be careful with the alternating signs. 2. If you are expanding down the second column, the rst term will be negative, second positive (but already we have a -3) and the third negative.
  58. 58. Example 8, section 3.1 Compute using cofactor expansion along rst row. 8 1 6 4 0 3 3 −2 5
  59. 59. Example 8, section 3.1 Compute using cofactor expansion along rst row. 8 1 6 4 0 3 3 −2 5 8 1 6 4 0 3 3 −2 5 det A =
  60. 60. Example 8, section 3.1 Compute using cofactor expansion along rst row. 8 1 6 4 0 3 3 −2 5 8 1 6 4 0 3 3 −2 5 0 3 det A = 8 −2 5 6
  61. 61. Example 8, section 3.1 Compute using cofactor expansion along rst row. 8 1 6 4 0 3 3 −2 5 8 1 6 8 1 6 4 0 3 4 0 3 3 −2 5 3 −2 5 0 3 4 3 det A = 8 −1 −2 5 3 5 6 11
  62. 62. Example 8, section 3.1 Compute using cofactor expansion along rst row. 8 1 6 4 0 3 3 −2 5 8 1 6 8 1 6 8 1 6 4 0 3 4 0 3 4 0 3 3 −2 5 3 −2 5 3 −2 5 0 3 4 3 4 0 det A = 8 −1 +6 −2 5 3 5 3 −2 6 11 −8 = 48 − 11 − 48 = −11
  63. 63. Denition A square matrix A is a Triangular matrix if the entries above OR below the main diagonal are ALL zeros
  64. 64. Denition A square matrix A is a Triangular matrix if the entries above OR below the main diagonal are ALL zeros Theorem If A is a triangular matrix, then det A is the product of entries on the main diagonal of A.
  65. 65. Example If 1 2 377 4 514 6     0 5 69 77 81 9    0 0 2 2321 45 88  A=   0 0 0 1 45 76.67    0 0 0 0 2 81.63     0 0 0 0 0 1
  66. 66. Example If 1 2 377 4 514 6     0 5 69 77 81 9    0 0 2 2321 45 88  A=   0 0 0 1 45 76.67    0 0 0 0 2 81.63     0 0 0 0 0 1 det A = (1)(5)(2)(1)(2)(1) = 20.
  67. 67. Larger Convenient Matrices 1. If you have a 4 × 4 or larger matrix with a row or column mostly zeros, use that row(column) as the anchor.
  68. 68. Larger Convenient Matrices 1. If you have a 4 × 4 or larger matrix with a row or column mostly zeros, use that row(column) as the anchor. 2. Be careful with the sign alterations.
  69. 69. Larger Convenient Matrices 1. If you have a 4 × 4 or larger matrix with a row or column mostly zeros, use that row(column) as the anchor. 2. Be careful with the sign alterations. 3. Have a sign template of proper size handy.
  70. 70. Example 10, section 3.1 Compute the following determinant using least amount of computation. 1 −2 5 2 0 0 3 0 2 −6 −7 5 5 0 4 4
  71. 71. Example 10, section 3.1 Compute the following determinant using least amount of computation. 1 −2 5 2 0 0 3 0 2 −6 −7 5 5 0 4 4 Use row 2 as the anchor. To be sure about the signs use the following + − + − − + − + + − + − − + − +
  72. 72. Example 10, section 3.1 Compute the following determinant using least amount of computation. 1 −2 5 2 0 0 3 0 2 −6 −7 5 5 0 4 4 Use row 2 as the anchor. To be sure about the signs use the following + − + − − + − + + − + − − + − + Only the cofactor of 3 matters here. It will be negative. Others are all zero.
  73. 73. Slide corrected on Feb 2, 12.00pm 1 −2 5 2 0 0 3 0 2 −6 −7 5 5 0 4 4
  74. 74. Slide corrected on Feb 2, 12.00pm 1 −2 5 2 0 0 3 0 1 −2 2 =⇒ −3 2 −6 5 2 −6 −7 5 5 0 4 5 0 4 4
  75. 75. Slide corrected on Feb 2, 12.00pm 1 −2 5 2 0 0 3 0 1 −2 2 =⇒ −3 2 −6 5 2 −6 −7 5 5 0 4 5 0 4 4 We can expand along the last row. To be safe, keep the sign template + − + − + − + − +
  76. 76. 1 −2 2 2 −6 5 5 0 4 −2 2 det A = 5 −6 5 2
  77. 77. 1 −2 2 1 −2 2 2 −6 5 2 −6 5 5 0 4 5 0 4 −2 2 1 2 det A = 5 −0 −6 5 2 5 2 0
  78. 78. 1 −2 2 1 −2 2 1 −2 2 2 −6 5 2 −6 5 2 −6 5 5 0 4 5 0 4 5 0 4 −2 2 1 2 1 −2 det A = 5 −0 +4 −6 5 2 5 2 −6 2 0 −2 = 10 + 0 + (−8) = 2 Don't forget to multiply the -3 we had. So the answer is -6.
  79. 79. Sarrus' Mnemonic Rule 1. An easy to remember method for 3 × 3 matrices
  80. 80. Sarrus' Mnemonic Rule 1. An easy to remember method for 3 × 3 matrices 2. DO NOT apply this method for larger matrices. 3. Make sure all rows and columns are properly aligned, otherwise it becomes very confusing.
  81. 81. Sarrus' Mnemonic Rule 1. An easy to remember method for 3 × 3 matrices 2. DO NOT apply this method for larger matrices. 3. Make sure all rows and columns are properly aligned, otherwise it becomes very confusing. 4. Start by repeating the rst 2 rows immediately beneath the determinant.
  82. 82. Sarrus' Mnemonic Rule a11 a12 a13 a21 a22 a23 a31 a32 a33 a11 a12 a13 a21 a22 a23
  83. 83. Sarrus' Mnemonic Rule + a11 a12 a13 a21 a22 a23 a31 a32 a33 a11 a12 a13 a21 a22 a23
  84. 84. Sarrus' Mnemonic Rule + a11 a12 a13 + a21 a22 a23 a31 a32 a33 a11 a12 a13 a21 a22 a23
  85. 85. Sarrus' Mnemonic Rule + a11 a12 a13 + a21 a22 a23 + a31 a32 a33 a11 a12 a13 a21 a22 a23
  86. 86. Sarrus' Mnemonic Rule + a11 a12 a13 + a21 a22 a23 + a31 a32 a33 − a11 a12 a13 a21 a22 a23
  87. 87. Sarrus' Mnemonic Rule + a11 a12 a13 + a21 a22 a23 + a31 a32 a33 − a11 a12 a13 − a21 a22 a23
  88. 88. Sarrus' Mnemonic Rule + a11 a12 a13 + a21 a22 a23 + a31 a32 a33 − a11 a12 a13 − a21 a22 a23 −

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