Test 1 prep Flashcards

(54 cards)

1
Q

3 types of possible solutions:

A

1 ) Unique solution
2 ) Infinite solution
3 ) No solution

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2
Q

Unique and infinite solutions are ______ solutions

A

consistent

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3
Q

No solution is _________

A

inconsistent

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4
Q

Difference between REF and RREF:

A

In RREF, the entries aside from leading ones have to be zeros whereas in REF, we only need leading ones as the first entry of a row

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5
Q

True or false: a matrix can have multiple REFs, but only a unique RREF.

A

True

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6
Q

“Number of leading variables of a matrix is called the _______ of that matrix”

A

rank (represented as IR^n)

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7
Q

In the parametric solutions, there are 2 types of variables:

A

1 ) Leading variables
2 ) Free variables

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8
Q

Only a square n x n matrix will have a main _______

A

diagonal

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9
Q

Entries of a matrix are represented as:

A

a subscript ij

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10
Q

In a subscript ij, what does ij represent:

A

i = row
j = column

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11
Q

Matrix product can only be achieved if:

A

nº of columns in A is identical to nº of rows in B

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12
Q

What is the proper way of writing a system if linear equations in matrix form?

A

AX = b

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13
Q

What is a matrix transpose?

A

The interchange of rows and columns

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14
Q

What are the 3 properties of AA^T or A^TA?

A

1 ) products are always square matrices
2 ) products are always symmetrical matrices
3 ) entries of the main diagonal are always positive

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15
Q

What is the trace of a matrix?

A

Sum of main diagonal entries

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16
Q

tr(A+B) =

A

tr(A) + tr(B)

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17
Q

True or false: tr(A) = tr(A^T)

A

True

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18
Q

tr(k*A) =

A

k*tr(A)

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19
Q

tr(AB) =

A

tr(BA)

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20
Q

A + B =

A

B + A

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21
Q

(A + B) + C =

A

A + (B + C)

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22
Q

In general, AB does not =

23
Q

(AB)C =

24
Q

A(B + C) =

A

AB + AC (right distribution)

25
(A + B)C =
AC + BC (left distribution)
26
k(AB) =
(k*A)B = A(k*B)
27
(a + b)C =
aC + bC
28
(ab) C =
b(aC) = a(bC)
29
What is the identity matrix?
square matrix (size depending on the other matrices in the equation) where all its entries are 0 and the main diagonal entries are 1
30
A*A^-1 =
I
31
How do you find determinant of 2x2 matrix? det(a) or IAI
ad–bc
32
How do you find inverse of 2x2 matrix?
A^ -1 = 1/det(A) [exchange a with d; exchange signs of b and c]
33
A^n =
A multiplied n number of times
34
A^0 =
I subscript matrix size
35
A^n * A^r =
A^(n+r)
36
(A^n)^r =
A ^ (n*r)
37
A^ -n =
(A^-1)^n = (A^n)^-1
38
(A^-1)^-1 = (A^T)^T =
A
39
(A^-1)^n = (A^T)^-1 =
(A^n)^-1 (A^-1)^T
40
(A+B)^-1 = (A+B)^T =
(A^-1 + B^-1) (A^T + B^T)
41
(k*A)^-1 = (k*A)^T =
k^-1 * A^-1 = (1/k) * A^-1 k * A^T
42
(ABCD)^-1 = (ABCD)^T =
D^-1 * C^-1 * B^-1 * A^-1 D^T * C^T * B^T * A^T
43
How do you find A in AX=b?
X=A^-1 * b
44
What is a homogenous system?
solutions are = 0
45
What is a diagonal matrix?
All entries beyond the main diagonal are 0 in a square matrix
46
What are the 2 properties of the diagonal matrix?
1 ) the diagonal matrix is invertible if none of its main diagonal entries is 0 2 ) the power of the matrix can be distributed to the entries of the main diagonal
47
What does the LOWER triangular matrix look like?
entries above main diagonal are 0
48
What does the UPPER triangular matrix look like?
entries below main diagonal are 0
49
If any entry of the main diagonal of the triangular matrix is 0:
it is SINGULAR
50
SINGULAR =
NOT INVERTIBLE
51
The main diagonal of a symmetric matrix acts as a _______
mirror line
52
The transpose of the symmetrical matrix is _______ to original matrix
identical
53
The inverse, if it exists, of the symmetrical matrix is _______ to original matrix
identical
54
The inverse of a matrix only exists if:
det(A) does not = 0