TEST (Ch 2 - 3) Flashcards

(61 cards)

1
Q

Matrix is invertible iff det(A) ≠ ?

A

det(A) ≠ 0

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2
Q

Inverse of a (2x2) matrix:

A
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3
Q

The determinant can only be calculated for what kind of matrices?

A

SQUARE matrices (nxn)

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4
Q

What is the det of a (1x1) matrix?

A

det(A) = A

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5
Q

What is the determinant of a (2x2) matrix?

A

det(A) = ad - bc

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6
Q

What is the minor of entry aij (Mij)?

A

the det of submatrix that remains after the ith row and the jth column are deleted from A.

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7
Q

What is the cofactor of entry aij (Cij)?

A
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8
Q

What is the relationship between a minor and its corresponding cofactor?

A

They are either the same or negatives of each other

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9
Q

What is cofactor expansion?

A

obtained by multiplying the entries in any row/column by the cofactors and adding the resulting product = determinant

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10
Q

Does it matter which row/column you choose when doing cofactor expansion?

A

Get the same determinant no matter the row/column you choose

Easiest: choose the one with the most 0s

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11
Q

What is the determinant of a triangular matrix?

A

det(A) = product of entries on the main diagonal

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12
Q

What is a simple technique for evaluating the det of a (2x2) or (3x3) matrix?

A
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13
Q

If a matrix has a row or column of 0s, what is its det?

A

det(A) = 0

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14
Q

If a matrix has a 2 proportional rows/columns, what is its det?

A

det(A) = 0

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15
Q

What is the det(AT)?

A

det(AT) = det(A)

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16
Q

Elementary Row Operations on Determinants

If single row/column was multiplied by k, what is det?

A

det(B) = k det(A)

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17
Q

Elementary Row Operations on Determinants

If single two rows/columns were interchanged, what is det?

A

det(B) = det(A)

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18
Q

Elementary Row Operations on Determinants

If a multiple of a row/column was added to another, what is det?

A

det(B) = det(A)

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19
Q

How can you evaluate the det using Row Reduction?

A
  1. Reduce matrix to REF (upper triangular)
  2. Cofactor expansion or main diagonal
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20
Q

Is there an addition formula for determinants?

A

NO!

det(A+B) ≠ det(A) + det(B)

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20
Q

What is the scalar multiplication formula for determinants?

A

det(kA) = kn det(A)

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21
Q

What does invertible mean?

A

it can be expressed as a product of elementary matrices

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22
Q

If A and B are square matrices of the same size:

det(AB) =

A

det(AB) = det(A) det(B)

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23
Q

What is the det(A-1)?

A
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24
What is an **adjoint**?
Transpose of the matrix of cofactors of A
25
What is **Cramer's Rule**?
* helps solve for UNIQUE solution of a system * First double-check that det(A) ≠ 0
26
Vectors are equivalent if \_\_\_
IF they have the same magnitude and direction Or if all of their respective components are equal
27
What is a **zero vector**?
Initial & terminal points coincide has length 0 Has no natural direction, it can be assigned to any direction that’s convenient
28
What is the parallelogram rule (+ and – vectors)?
29
What is the difference between parallel & collinear with vectors?
Parallel = collinear for vectors → because parallel vectors can be moved to become collinear
30
Component form of vectors
31
What is the formula for a vector whose initial point is NOT the origin?
32
**N-space** (Rn)
set of ordered n-tuples
33
Algebraic properties of vectors:
prove using components
34
What is a **linear combination**?
The ks are the coefficients of the linear combination
35
What is a **norm** (|| ||) of a vector?
length/magnitude of vector
36
Properties of norms
37
What is a **unit vector**?
vector magnitude = 1
38
**Standard unit vector**
v = (v1, v2, v3 … vn)
39
What is the distance between two vectors?
40
**Dot product** definition
Product of magnitude of component **v** in the direction of **w** with the magnitude of **w**.
41
If two vectors are oriented very similarly then there dot product is \_\_
The more similarly two vectors are oriented the higher the dot product
42
**Geometric** definition of dot product
43
What does the dot product tell us about the angle between two vectors?
44
**Algebraic** definition of the dot product
45
Expressing the norm of a vector with dot product
46
Properties of the dot product
47
Cauchy-Shwarz Inequality
48
like a triangle (no side can be longer than the sum of the other sides)
49
Two vectors are orthogonal if \_\_
dot product = 0
50
Are 0 vectors orthogonal to anything?
Zero vectors in Rn are perpendicular to every vector in Rn
51
What is a **normal**?
vector orthogonal to line/plane
52
**Normal**: Point-normal form
53
**Normal**: Component form
Through point P = (x0, y0, z0), **n** = (a, b, c)
54
Vector form of a line/plane through the origin
55
*ax + by + c = 0* represents what?
a line in R2 with normal **n** = (a, b)
56
*ax + by + cz + d = 0* represents what?
a plane in R3 with normal **n** = (a, b, c)
57
What is an **orthogonal projection**?
58
Vector component of **u** along **a**
59
Vector component of **u** orthogonal **a**
60
Norm (|| ||) of a vector projection