Determinants Flashcards

1
Q

Suppose A is an nxn matrix, What is the determinant is n=1?

A

If n = 1, then A = [a] = a and det(A) = a

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2
Q

Suppose A is an nxn matrix, What is the determinant is n=2?

A
If n = 2, then
det( 
[a b]
[c d])≡
|a b|
|c d|
= ad − bc,
Recall that a 2 × 2 matrix A is invertible ⇔ det(A)≠0.
If u = (a, b) and v = (c, d), then |det(A)| = ||u × v||.
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3
Q

Suppose A is an nxn matrix, What is the determinant is n=3?

A

If n = 3, then
|a b c|
|d e f| =
|g h j|

a |e f| - b |d f| + c |d e|
|h j| |g j| |g h|

(This is called the cofactor expansion along the first row)

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4
Q

Definition

Suppose A is a n×n matrix and 1 ≤ i, j ≤ n. Then, Aij is …

A

The (n − 1) × (n − 1) matrix obtained by removing the i-th row and j-th column of A.

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5
Q

Define determinants.

A

For n ≥ 2, the determinant of a n × n matrix A = [aij] is
|A| = det(A) = a11det(A11) − a12det(A12) + · · ·
+(−1)^(1+n)a1ndet(A1n) …
(see notes)
which defines the determinant of A in terms of determinants of smaller matrices

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6
Q

What’s a fact about cofactor expansion?

A

see notes

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7
Q

What are two important points about cofactor expansion?

A
  1. We can do the cofactor expansion along any row or column,
  2. So we can choose rows or columns that make the calculation
    easy (e.g. rows or columns that have a lot of zeros).
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8
Q

Properties of the Determinant

Let A be a n × n matrix. Then, … (2)

A
  1. If A has a row or column of zeros, then det(A) = 0,

2. det(A) = det(A^T).

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9
Q

Define triangular matrices.

Let A be a n × n matrix. Then, (3)

A

Let A be a n × n matrix. Then,
1. If A has all zeros below the main diagonal, it is called upper
triangular,
2. If A has all zeros above the main diagonal, it is called lower
triangular,
3. A is called triangular if it is upper or lower triangular.

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10
Q

What is the Determinant of Triangular matrices?

A

If A is a triangular matrix, then det(A) is the product of the entries
of the main diagonal.

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11
Q

Facts about the Determinant of Triangular matrices? (2)

A

If A is in RREF, then

  1. rank(A) = n and det(A) =1,
  2. rank(A) < n and det(A)=0.
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12
Q

Row Operations and Determinants
Let A be a n × n matrix and suppose we do an elementary row
operation and obtain B. Then,
(3)

A
  1. If B is obtained from A by adding a multiple of one row of A to another row, then det(A) = det(B),
  2. If B is obtained from A by interchanging two rows of A, then det(B) = − det(A),
  3. If B is obtained from A by multiplying a row of A by a scalar k, then det(B) = k det(A).
    These statements remain true, if we replace row by column.
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13
Q

Row Operations and Determinants
Common Confusions
If we multiply a row by a scalar k, then (3)

A

If we multiply a row by a scalar k, then
1. det after the operation = k(det before the operation), or
2. det before the operation = 1/(k(det after the operation))
3. We only use column operations when computing determinants,
not when row reducing.

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14
Q

More properties of determinants

Suppose A and B are n × n square matrices. Then (4)

A

Suppose A and B are n × n square matrices. Then,
1. det(rA) = (r^n)det(A), for any r∈R,
2. det(AB) = det(A) det(B),
3. det(A) = 0 ⇔ A is not invertible,
4. If A is invertible, then det(A^(−1)) = 1/det(A)
.

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