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Exam
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A = 4 0 1
2 –1–3
5 3 7 , B =–2 0 8 5
1 6 2 2
4 –1 0 3
–4–1 32 23
–17 –3 14 –1
21 11 46 52
–4–1 32 23
–17 –3 14 –1
21 11 46 52
–8 0 32 20
–5–6 14 8
–7 18 46 31
–4–1 0 3
–12 –3 0 –9
28 –7 0 21
Find the matrix product AB, if it is defined.
A =3–2
3 0 , B =0–2
3 6 .
Find an LU factorization of the matrix A.
A = 1 0 0
4 1 0
4–1 1
2 4 5
0 11 5
0 0 24
A = 1 0 0
2 1 0
2 –3 1
3 4 5
0 –3 5
0 0 1
A = 1 0 0
4 1 0
4–1 1
2 4 5
0 3 –5
0 0 –1
A = 1 0 0
2 1 0
2 –3 1
2 4 5
0 3 –5
0 0 –1
Find the matrix product AB for the partitioned matrices.
Decide whether or not the matrices are inverses of each other.
–2 4
4–4 and
1
21
4
1
21
4
Solve the system by using the inverse of the coefficient matrix.
Find the matrix product AB, if it is defined.
A =0–3
3 3 , B =–2 0
–1 1 .
Find the 3 × 3 matrix that produces the described transformation, using homogeneous coordinates.
Reflect through the x–axis
Decide whether or not the matrices are inverses of each other.
–5 1
–7 1 and
1
2–1
2
7
2–5
2
Perform the matrix operation.
Let C =2
–2
12 . Find (1/2) C.
Find the inverse of the matrix A, if it exists.
A–1=–3 10 –3
2–4 1
–1 1 0
A–1=
11
31
2
11
31
3
1
21
71
8
Find the matrix product AB, if it is defined.
A =1 3 –2
2 0 3 , B =3 0
–2 1
0 3 .
Decide whether or not the matrices are inverses of each other.
Find the inverse of the matrix, if it exists.
Determine the production vector x that will satisfy demand in an economy with the given consumption matrix C and final
demand vector d. Round production levels to the nearest whole number.
Find the inverse of the matrix A, if it exists.
A–1=
1
61
11 1
1
11 –1
71
2
1
5–1
31
A–1=
1
11 2
11 – 4
5
11 8
73
6
5–1
31
The sizes of two matrices A and B are given. Find the sizes of the product AB and the product BA, if the products are
defined.
AB is 1 × 1, BA is 1 × 1.
Decide whether or not the matrices are inverses of each other.
9–2
7–2 and
0.5 0.5
–7
4–9
4
Identify the indicated submatrix.
A =
6 4 1
–6 0 –1
0 7–4
7 4 7
. Find A21.
Find the inverse of the matrix, if it exists.
Find the matrix product AB, if it is defined.
A =3–2 1
0 4 –2 , B =4 0
–2 3 .
Perform the matrix operation.
Let C =1
–3
2 and D =–1
3
–2 . Find C – 4D.
Solve the system by using the inverse of the coefficient matrix.
Perform the matrix operation.
Let A =1 3
2 6 and B =0 4
–1 6 . Find 4A + B.
Find the transpose of the matrix.
Perform the matrix operation.
Let A =–3 1
0 2 . Find 2A.
Identify the indicated submatrix.
A =0 1 –7–5
7–102
2 5 –2 0 . Find A12.
Perform the matrix operation.
Let A =–2 7
–2–8 and B =2 6
–2 9 . Find A – B.
Determine the production vector x that will satisfy demand in an economy with the given consumption matrix C and final
demand vector d. Round production levels to the nearest whole number.
C =.2 .1 .1
.3 .2 .3
.4 .1 .3 , d=213
322
296
Determine the rank of the matrix.
1 –2 2 –4
2 –4 7 –4
–3 6 –612
Find the inverse of the matrix, if it exists.
Find the 4 × 4 matrix that produces the described transformation, using homogeneous coordinates.
Translation by the vector (4, –7, –9)
1 0 0 4
0 1 0 –7
0 0 1 –9
0 0 0 1
1 0 0 –4
0 1 0 7
0 0 1 9
0 0 0 1
0 0 0 4
0 0 0 –7
0 0 0 –9
0 0 0 1
4 0 0 0
0–7 0 0
0 0 –9 0
0 0 0 1
Find an LU factorization of the matrix A.
Determine whether the matrix is invertible.
Solve the system by using the inverse of the coefficient matrix.
Find the matrix product AB, if it is defined.
A =0–2
2 3 , B =–1 3 2
0–3 1 .
Find a basis for the null space of the matrix.
A =
1 0 –5 0 –2
0 1 3 0 3
0 0 0 1 1
0 0 0 0 0
1
0
0
0
,
0
1
0
0
,
0
0
1
0
The vector x is in a subspace H with a basis = {b1, b2}. Find the –coordinate vector of x.
b1= 1
–2, b2=–5
3 , x=17
–13
Find the inverse of the matrix A, if it exists.
A–1=
1 0 4
5
0 1 –1
04
50
Find the transpose of the matrix.
Decide whether or not the matrices are inverses of each other.
2–1 0
–1 1 –2
1 0 –1 and 1–1 2
–3–2 4
–1 1 1
Find the 3 × 3 matrix that produces the described composite 2D transformation, using homogeneous coordinates.
Rotate points through 45° and then scale the x–coordinate by 0.2 and the y–coordinate by 0.4.
0.1 20.1 2 0
–0.2 20.2 2 0
0 0 1
0.1 2–0.1 2 0
0.2 20.2 2 0
0 0 1
0.1 –0.2 2 0
0.1 20.2 0
0 0 1
Find the matrix product AB, if it is defined.
A =1 0
0 2 , B =1 2 –2
2–2 2 .
Find the inverse of the matrix, if it exists.
The sizes of two matrices A and B are given. Find the sizes of the product AB and the product BA, if the products are
defined.
AB is undefined, BA is 1×2.
AB is 2×1, BA is undefined.
Determine whether b is in the column space of A.
A =–1 0 2
5 8 –10
–3–3 6 , b=–4
5
3
Solve the equation Ax = b by using the LU factorization given for A.
A = 3 –1 2
–6 4 –5
9 5 6 , b= 6
–3
2
A = 1 0 0
–2 1 0
3 4 1
3–1 2
0 2 –1
0 0 4
The vector x is in a subspace H with a basis = {b1, b2}. Find the –coordinate vector of x.
b1= 2
–2
4 , b2= 6
1
–3, x=26
9
–23
The sizes of two matrices A and B are given. Find the sizes of the product AB and the product BA, if the products are
defined.
AB is 2×2, BA is undefined.
AB is undefined, BA is 3×3.
Decide whether or not the matrices are inverses of each other.
6–5
–3 5 and
1
31
3
1
52
5
Solve the system by using the inverse of the coefficient matrix.
2x1– 4x2= –2
3x1+ 4x2= –23
Decide whether or not the matrices are inverses of each other.
9 4
4 4 and –0.2 0.2
0.2 –0.45
Solve the system by using the inverse of the coefficient matrix.
–5x1+ 3x2= 8
2x1– 4x2= –20
Determine whether b is in the column space of A.
A = 1 2 –3
1 4 –6
–3–2 5 , b=3
2
–5
Find the 3 × 3 matrix that produces the described composite 2D transformation, using homogeneous coordinates.
Translate by (9, 7), and then reflect through the line y = x.
Solve the system by using the inverse of the coefficient matrix.
2x1– 6x2= –6
3x1+ 2x2= 13
Find the 4 × 4 matrix that produces the described transformation, using homogeneous coordinates.
Rotation about the y–axis through an angle of 60°
0.5 0 3/2 0
0 1 0 0
–3/2 0 0.5 0
0 0 0 1
1 0 0 0
0 0.5 3/2 0
0–3/2 0.5 0
0 0 0 1
0.5 3/2 0 0
–3/2 0.5 0 0
0 0 1 0
0 0 0 1
3/2 0 0.5 0
0 1 0 0
–0.5 0 3/2 0
0 0 0 1
Compute the matrix of the transformation that performs the shear transformation x
Ax for
A =10.17
0 1 and then scales all y–coordinates by a factor of 0.63.
Find the inverse of the matrix A, if it exists.
A–1=–1 0 –8
–1–2–3
–2–5–3
A–1=9–40 16
–3 13 –5
–1 5 –2
Compute the matrix of the transformation that performs the shear transformation x
Ax for
A = 1 0.21
0 1 and then scales all x–coordinates by a factor of 0.68.
Determine the rank of the matrix.
10–3 0 4
01–3 0 2
00 0 1 1
00 0 0 0
Find the inverse of the matrix, if it exists.
Solve the equation Ax = b by using the LU factorization given for A.
A =
1 2 4 3
–1–3–1–4
2 1 19 3
1 5 –9 7
, b=
2
0
4
3
A =
1 0 0 0
–1 1 0 0
2 3 1 0
1 –3–2 1
1 2 4 3
0–1 3 –1
0 0 2 0
0 0 0 1
Solve the system by using the inverse of the coefficient matrix.
The sizes of two matrices A and B are given. Find the sizes of the product AB and the product BA, if the products are
defined.
AB is undefined, BA is undefined.
Perform the matrix operation.
Let A =–10 3
7–9 and B =0 0
0 0 . Find A + B.
Find a basis for the null space of the matrix.
A =1 0 –5–2
0 1 7 –4
0 0 0 0
Find the inverse of the matrix, if it exists.
Perform the matrix operation.
Let A =–1 2 and B =1 0 . Find 3A + 4B.
Find the inverse of the matrix A, if it exists.
A–1=
1–1
2–2
7
0 0 1
7
1
20–1
7
A–1=
– 1 –1
2–2
7
–1
701
7
1
20 0
A–1=
1 0 1
2
–1
20 0
–2
71
7–1
7
Find the matrix product AB, if it is defined.
A =–1 3
2 2 , B =–2 0
–1 4 .
Perform the matrix operation.
Let B =–1 4 7 –3. Find –4B.
Solve the system by using the inverse of the coefficient matrix.
Find the matrix product AB, if it is defined.
A =–1 3
1 6 , B =0–2 7
1–3 2 .
Find a basis for the column space of the matrix.
B =
1 0 –5 0 –5
0 1 5 0 4
0 0 0 1 1
0 0 0 0 0
1
0
0
0
,
0
1
0
0
,
–5
5
0
0
1
0
0
0
,
0
1
0
0
,
0
0
1
0
B = 1 –2 2 –3
2 –4 9 –2
–3 6 –6 9
Determine whether the matrix is invertible.
Decide whether or not the matrices are inverses of each other.
Find the inverse of the matrix A, if it exists.
A–1=
1 1 1
1
21 1
1
21
21
3
Perform the matrix operation.
Let A =–1 7
–5 1
4 9 and B =5 6
–3–9
–5 7 . Find A + B.
Find the 3 × 3 matrix that produces the described transformation, using homogeneous coordinates.