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Lesson 8
    Determinants and Inverses (Section 13.5–6)

                           Math 20


                       October 5, 2007


Announcements
   No class Monday 10/8, yes class Friday 10/12
   Problem Set 3 is on the course web site. Due October 10
   Sign up for conference times on course website
   Prob. Sess.: Sundays 6–7 (SC 221), Tuesdays 1–2 (SC 116)
   OH: Mondays 1–2, Tuesdays 3–4, Wednesdays 1–3 (SC 323)
Review: Determinants of n × n matrices by patterns




   Definition
   Let A = (aij )n×n be a matrix. The determinant of A is a sum of
   all products of n elements of the matrix, where each product takes
   exactly one entry from each row and column.
Review: Determinants of n × n matrices by patterns




   Definition
   Let A = (aij )n×n be a matrix. The determinant of A is a sum of
   all products of n elements of the matrix, where each product takes
   exactly one entry from each row and column.
   The sign of each product is given by (−1)σ , where σ is the number
   of upwards lines used when all the entries in a pattern are
   connected.
4 × 4 sudoku patterns



      +      −          −   +   +   −



      −      +          +   −   −   +



      +      −          −   +   +   −



      −      +          +   −   −   +
Determinants of n × n matrices by cofactors




   Definition
   Let A = (aij )n×n be a matrix. The (i, j)-minor of A is the matrix
   obtained from A by deleting the ith row and j column. This matrix
   has dimensions (n − 1) × (n − 1).
   The (i, j) cofactor of A is the determinant of the (i, j) minor
   times (−1)i+j .
Fact
The determinant of A = (aij )n×n is the sum

                 a11 C11 + a12 C12 + · · · + a1n C1n
Example
                         2 −4 3
Compute the determinant: 3 1  2
                         1 4 −1
   Expand along 1st row
   Expand along 2nd row
   Expand along 1st column
Fact
The determinant of A = (aij )n×n is the sum

                 a11 C11 + a12 C12 + · · · + a1n C1n


Fact
The determinant of A = (aij )n×n is the sum

                  a11 Ci1 + ai2 Ci2 + · · · + ain Cin

for any i.
Fact
The determinant of A = (aij )n×n is the sum

                 a11 C11 + a12 C12 + · · · + a1n C1n


Fact
The determinant of A = (aij )n×n is the sum

                  a11 Ci1 + ai2 Ci2 + · · · + ain Cin

for any i.

Fact
The determinant of A = (aij )n×n is the sum

                  a1j C1j + a2j C2j + · · · + anj Cnj

for any j.
Theorem (Rules for Determinants)
Let A be an n × n matrix.
Theorem (Rules for Determinants)
Let A be an n × n matrix.
 1. If a row or column of A is full of zeros, then |A| =
Theorem (Rules for Determinants)
Let A be an n × n matrix.
 1. If a row or column of A is full of zeros, then |A| = 0.
Theorem (Rules for Determinants)
Let A be an n × n matrix.
 1. If a row or column of A is full of zeros, then |A| = 0.
 2. |A | =
Theorem (Rules for Determinants)
Let A be an n × n matrix.
 1. If a row or column of A is full of zeros, then |A| = 0.
 2. |A | = |A|
Theorem (Rules for Determinants)
Let A be an n × n matrix.
 1. If a row or column of A is full of zeros, then |A| = 0.
 2. |A | = |A|
 3. If B is the matrix obtained by multiplying each entry of one
    row or column of A by the same number α, then |B| = α |A|.
Theorem (Rules for Determinants)
Let A be an n × n matrix.
 1. If a row or column of A is full of zeros, then |A| = 0.
 2. |A | = |A|
 3. If B is the matrix obtained by multiplying each entry of one
    row or column of A by the same number α, then |B| = α |A|.
 4. If two rows or columns of A are interchanged,
Theorem (Rules for Determinants)
Let A be an n × n matrix.
 1. If a row or column of A is full of zeros, then |A| = 0.
 2. |A | = |A|
 3. If B is the matrix obtained by multiplying each entry of one
    row or column of A by the same number α, then |B| = α |A|.
 4. If two rows or columns of A are interchanged, then the
    determinant changes its sign but keeps its absolute value.
Theorem (Rules for Determinants)
Let A be an n × n matrix.
 1. If a row or column of A is full of zeros, then |A| = 0.
 2. |A | = |A|
 3. If B is the matrix obtained by multiplying each entry of one
    row or column of A by the same number α, then |B| = α |A|.
 4. If two rows or columns of A are interchanged, then the
    determinant changes its sign but keeps its absolute value.
 5. If a row or column of A is duplicated, then |A| =
Theorem (Rules for Determinants)
Let A be an n × n matrix.
 1. If a row or column of A is full of zeros, then |A| = 0.
 2. |A | = |A|
 3. If B is the matrix obtained by multiplying each entry of one
    row or column of A by the same number α, then |B| = α |A|.
 4. If two rows or columns of A are interchanged, then the
    determinant changes its sign but keeps its absolute value.
 5. If a row or column of A is duplicated, then |A| = 0.
Theorem (Rules for Determinants, continued)
Let A be an n × n matrix.
Theorem (Rules for Determinants, continued)
Let A be an n × n matrix.
 5. If a row or column of A is proportional to another, then
    |A| =
Theorem (Rules for Determinants, continued)
Let A be an n × n matrix.
 5. If a row or column of A is proportional to another, then
    |A| = 0.
Theorem (Rules for Determinants, continued)
Let A be an n × n matrix.
 5. If a row or column of A is proportional to another, then
    |A| = 0.
 6. If a scalar multiple of one row (or column) of A is added to
    another row (or column), then
Theorem (Rules for Determinants, continued)
Let A be an n × n matrix.
 5. If a row or column of A is proportional to another, then
    |A| = 0.
 6. If a scalar multiple of one row (or column) of A is added to
    another row (or column), then the determinant does not
    change.
Theorem (Rules for Determinants, continued)
Let A be an n × n matrix.
 5. If a row or column of A is proportional to another, then
    |A| = 0.
 6. If a scalar multiple of one row (or column) of A is added to
    another row (or column), then the determinant does not
    change.
 7. The determinant of the product of two matrices is the product
    of the determinants of those matrices:

                            |AB| = |A| |B|
Theorem (Rules for Determinants, continued)
Let A be an n × n matrix.
 5. If a row or column of A is proportional to another, then
    |A| = 0.
 6. If a scalar multiple of one row (or column) of A is added to
    another row (or column), then the determinant does not
    change.
 7. The determinant of the product of two matrices is the product
    of the determinants of those matrices:

                            |AB| = |A| |B|


 8. if α is any real number, then
Theorem (Rules for Determinants, continued)
Let A be an n × n matrix.
 5. If a row or column of A is proportional to another, then
    |A| = 0.
 6. If a scalar multiple of one row (or column) of A is added to
    another row (or column), then the determinant does not
    change.
 7. The determinant of the product of two matrices is the product
    of the determinants of those matrices:

                            |AB| = |A| |B|


 8. if α is any real number, then |αA| =
Theorem (Rules for Determinants, continued)
Let A be an n × n matrix.
 5. If a row or column of A is proportional to another, then
    |A| = 0.
 6. If a scalar multiple of one row (or column) of A is added to
    another row (or column), then the determinant does not
    change.
 7. The determinant of the product of two matrices is the product
    of the determinants of those matrices:

                            |AB| = |A| |B|


 8. if α is any real number, then |αA| = αn |A|.
Lesson 8: Determinants III

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Lesson 8: Determinants III

  • 1. Lesson 8 Determinants and Inverses (Section 13.5–6) Math 20 October 5, 2007 Announcements No class Monday 10/8, yes class Friday 10/12 Problem Set 3 is on the course web site. Due October 10 Sign up for conference times on course website Prob. Sess.: Sundays 6–7 (SC 221), Tuesdays 1–2 (SC 116) OH: Mondays 1–2, Tuesdays 3–4, Wednesdays 1–3 (SC 323)
  • 2. Review: Determinants of n × n matrices by patterns Definition Let A = (aij )n×n be a matrix. The determinant of A is a sum of all products of n elements of the matrix, where each product takes exactly one entry from each row and column.
  • 3. Review: Determinants of n × n matrices by patterns Definition Let A = (aij )n×n be a matrix. The determinant of A is a sum of all products of n elements of the matrix, where each product takes exactly one entry from each row and column. The sign of each product is given by (−1)σ , where σ is the number of upwards lines used when all the entries in a pattern are connected.
  • 4. 4 × 4 sudoku patterns + − − + + − − + + − − + + − − + + − − + + − − +
  • 5.
  • 6. Determinants of n × n matrices by cofactors Definition Let A = (aij )n×n be a matrix. The (i, j)-minor of A is the matrix obtained from A by deleting the ith row and j column. This matrix has dimensions (n − 1) × (n − 1). The (i, j) cofactor of A is the determinant of the (i, j) minor times (−1)i+j .
  • 7.
  • 8. Fact The determinant of A = (aij )n×n is the sum a11 C11 + a12 C12 + · · · + a1n C1n
  • 9. Example 2 −4 3 Compute the determinant: 3 1 2 1 4 −1 Expand along 1st row Expand along 2nd row Expand along 1st column
  • 10.
  • 11. Fact The determinant of A = (aij )n×n is the sum a11 C11 + a12 C12 + · · · + a1n C1n Fact The determinant of A = (aij )n×n is the sum a11 Ci1 + ai2 Ci2 + · · · + ain Cin for any i.
  • 12. Fact The determinant of A = (aij )n×n is the sum a11 C11 + a12 C12 + · · · + a1n C1n Fact The determinant of A = (aij )n×n is the sum a11 Ci1 + ai2 Ci2 + · · · + ain Cin for any i. Fact The determinant of A = (aij )n×n is the sum a1j C1j + a2j C2j + · · · + anj Cnj for any j.
  • 13. Theorem (Rules for Determinants) Let A be an n × n matrix.
  • 14. Theorem (Rules for Determinants) Let A be an n × n matrix. 1. If a row or column of A is full of zeros, then |A| =
  • 15. Theorem (Rules for Determinants) Let A be an n × n matrix. 1. If a row or column of A is full of zeros, then |A| = 0.
  • 16. Theorem (Rules for Determinants) Let A be an n × n matrix. 1. If a row or column of A is full of zeros, then |A| = 0. 2. |A | =
  • 17.
  • 18.
  • 19. Theorem (Rules for Determinants) Let A be an n × n matrix. 1. If a row or column of A is full of zeros, then |A| = 0. 2. |A | = |A|
  • 20.
  • 21. Theorem (Rules for Determinants) Let A be an n × n matrix. 1. If a row or column of A is full of zeros, then |A| = 0. 2. |A | = |A| 3. If B is the matrix obtained by multiplying each entry of one row or column of A by the same number α, then |B| = α |A|.
  • 22. Theorem (Rules for Determinants) Let A be an n × n matrix. 1. If a row or column of A is full of zeros, then |A| = 0. 2. |A | = |A| 3. If B is the matrix obtained by multiplying each entry of one row or column of A by the same number α, then |B| = α |A|. 4. If two rows or columns of A are interchanged,
  • 23.
  • 24. Theorem (Rules for Determinants) Let A be an n × n matrix. 1. If a row or column of A is full of zeros, then |A| = 0. 2. |A | = |A| 3. If B is the matrix obtained by multiplying each entry of one row or column of A by the same number α, then |B| = α |A|. 4. If two rows or columns of A are interchanged, then the determinant changes its sign but keeps its absolute value.
  • 25. Theorem (Rules for Determinants) Let A be an n × n matrix. 1. If a row or column of A is full of zeros, then |A| = 0. 2. |A | = |A| 3. If B is the matrix obtained by multiplying each entry of one row or column of A by the same number α, then |B| = α |A|. 4. If two rows or columns of A are interchanged, then the determinant changes its sign but keeps its absolute value. 5. If a row or column of A is duplicated, then |A| =
  • 26.
  • 27. Theorem (Rules for Determinants) Let A be an n × n matrix. 1. If a row or column of A is full of zeros, then |A| = 0. 2. |A | = |A| 3. If B is the matrix obtained by multiplying each entry of one row or column of A by the same number α, then |B| = α |A|. 4. If two rows or columns of A are interchanged, then the determinant changes its sign but keeps its absolute value. 5. If a row or column of A is duplicated, then |A| = 0.
  • 28. Theorem (Rules for Determinants, continued) Let A be an n × n matrix.
  • 29. Theorem (Rules for Determinants, continued) Let A be an n × n matrix. 5. If a row or column of A is proportional to another, then |A| =
  • 30. Theorem (Rules for Determinants, continued) Let A be an n × n matrix. 5. If a row or column of A is proportional to another, then |A| = 0.
  • 31. Theorem (Rules for Determinants, continued) Let A be an n × n matrix. 5. If a row or column of A is proportional to another, then |A| = 0. 6. If a scalar multiple of one row (or column) of A is added to another row (or column), then
  • 32.
  • 33. Theorem (Rules for Determinants, continued) Let A be an n × n matrix. 5. If a row or column of A is proportional to another, then |A| = 0. 6. If a scalar multiple of one row (or column) of A is added to another row (or column), then the determinant does not change.
  • 34. Theorem (Rules for Determinants, continued) Let A be an n × n matrix. 5. If a row or column of A is proportional to another, then |A| = 0. 6. If a scalar multiple of one row (or column) of A is added to another row (or column), then the determinant does not change. 7. The determinant of the product of two matrices is the product of the determinants of those matrices: |AB| = |A| |B|
  • 35. Theorem (Rules for Determinants, continued) Let A be an n × n matrix. 5. If a row or column of A is proportional to another, then |A| = 0. 6. If a scalar multiple of one row (or column) of A is added to another row (or column), then the determinant does not change. 7. The determinant of the product of two matrices is the product of the determinants of those matrices: |AB| = |A| |B| 8. if α is any real number, then
  • 36. Theorem (Rules for Determinants, continued) Let A be an n × n matrix. 5. If a row or column of A is proportional to another, then |A| = 0. 6. If a scalar multiple of one row (or column) of A is added to another row (or column), then the determinant does not change. 7. The determinant of the product of two matrices is the product of the determinants of those matrices: |AB| = |A| |B| 8. if α is any real number, then |αA| =
  • 37. Theorem (Rules for Determinants, continued) Let A be an n × n matrix. 5. If a row or column of A is proportional to another, then |A| = 0. 6. If a scalar multiple of one row (or column) of A is added to another row (or column), then the determinant does not change. 7. The determinant of the product of two matrices is the product of the determinants of those matrices: |AB| = |A| |B| 8. if α is any real number, then |αA| = αn |A|.