A “linear operator” is just a linear transformation whose domain is the same dimension as its codomain
Score for this quiz: 20 out of 20
1 / 1 pts
All identity matrices are symmetric.
Correct!
True
False
1 / 1 pts
All upper-triangular matrices are symmetric.
True
Correct!
False
1 / 1 pts
All square matrices have the same number of rows as columns.
Correct!
True
False
1 / 1 pts
A “linear operator” is just a linear transformation whose domain is the same dimension as its codomain (for example, it maps each vector in ℛ5 to another vector in ℛ5.)
Correct Answer
True
You Answered
False
1 / 1 pts
If I perform a linear transformation on a 2-dimensional vector x by multiplying it on the left by the matrix A below (i.e., performing the multiplication Ax) the vector will be rotated 90 degrees clockwise.
Correct Answer
True
You Answered
False
2 / 2 pts
Let y be the vector that the linear transformation maps the vector to. Which of the following is true of y? Check all that apply.
Correct!
all of its elements are even
you can’t even do that operation
it is 3 dimensional
one of its elements is -3
Correct!
it is 2 dimensional
it has all zeros
it is 9 dimensional
it is 6 dimensional
1 / 1 pts
What’s the rank of the following matrix?
Correct!
Correct Answers
2.0 (with margin: 0.0)
0 / 1 pts
What’s the rank of the following matrix?
You Answered
Correct Answers
2.0 (with margin: 0.0)
2 / 2 pts
Which of the following is true of the matrix operation below? (Check all that apply)
the operation can’t be done
Correct!
all its entries are non-zero
Correct!
it is a 2×2 matrix
it is a scalar
all its entries are even
it is a 1×2 vector
Correct!
all its entries are positive
it is a 2×1 vector
2 / 2 pts
Which of the following is true of the result of the matrix-vector multiplication below? (check all that apply)
Correct!
all of its entries are positive
it is a scalar
Correct!
one of its entries is 16
this operation can’t be done
it is a 3×3 matrix
all of its entries are even
it is a 1×1 matrix
1 / 1 pts
If two matrices M and N are the same dimensions (i.e., M and N each have the same number of rows, and also M and N each have the same number of columns), then you can definitely add them together.
Correct!
True
False
1 / 1 pts
If a matrix Q has 13 rows, and p is a vector with 13 elements, you can definitely multiply Q times p.
True
Correct!
False
1 / 1 pts
The vector is in the kernel of the matrix .
Correct!
True
False
1 / 1 pts
The vector is in the kernel of the matrix .
True
Correct!
False
1 / 1 pts
The vector is in the kernel of every 4×4 matrix.
Correct!
True
False
1 / 1 pts
If I told you I had a 16×16 matrix with only 13 linearly independent columns, what would its nullity (i.e., the dimension of its kernel) be?
You Answered
Correct Answers
3.0 (with margin: 0.0)
1 / 1 pts
If I told you that my 17×17 matrix J was full-rank, how many linearly independent rows would you know it had?
Correct!
Correct Answers
17.0 (with margin: 0.0)