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Compute the cosine of the angle between ~u and ~v

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Cornelis VAN DER MEE, Spring 2008, Math 3330, Exam 3a Name: . . . Grade: . . . Rank: . . . . To receive full credit, show all of your work. Neither calculators nor computers are allowed.

1. Consider the two vectors

~ u =

 2

−1 0

, ~v =

 1 2 0

.

a. Compute the cosine of the angle between ~u and ~v.

b. Compute the distance between ~u and ~v.

c. Does there exist an orthogonal 3 × 3 matrix A such that A~u = ~v?

If it exists, construct one. If it does not exist, explain why not.

2. Find an orthonormal basis for

V = span

−1 3 0 0

 ,

 0 1 0 0

 ,

 0 2 1 1

 ,

 0 0 1 1

and use this information to write down the orthogonal projection of R4 onto V .

3. Find a least-squares solution to the system

 3 4

−4 0 0 2

| {z }

=A

x1 x2



| {z }

=~x

=

 0 1

−3

| {z }

=~u

.

Compute the distance from the vector ~u to the image of A.

4. Compute the volume of the parallelepiped spanned by the columns of the 3 × 3 matrix

A =

1 2 −3

−2 1 4

2 3 1

.

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5. Find the determinants of the matrices

A =

1 3 9 27

1 2 4 8

1 −2 4 −8 1 −3 9 −27

, B =

3 0 0 9 1 3 0 0 0 1 3 0 0 0 1 3

 .

6. Let A be a 6 × 6 matrix with det(A) = −3.

a. Compute det(√ 5 A).

b. Compute det(A−1ATA).

c. Compute det(SAS−1A), where S is a 6 × 6 matrix satisfying det(S) = 17.

d. Compute the determinant of the matrix obtained from A by first interchanging the last two columns, then interchanging the last two rows, and then multiplying the second row by 3.

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