A linear transformation satisfies and . Which matrix represents in the standard bases?
6 Linear Transformations Online Quiz Questions
Use this free practice quiz with 20 questions to review 6 Linear Transformations, test your knowledge, and prepare for your next test or exam.
A linear transformation has a five-dimensional domain and rank 2. What is its nullity?
Complete the definition: For a linear transformation T:V→W, the kernel is {v∈V:T(v)=}.
Select all statements that are always true for a linear transformation T:V→W.
- A
If kerT={0}, then T is injective.
- B
If kerT={0}, then T is necessarily surjective.
- C
If imT=W, then T is surjective.
- D
If imT=W, then T is necessarily injective.
For T:R3→R2 defined by T(x,y,z)=(x+y,y+z), what is imT?
- A
R2
- B
span{(1,0)}
- C
span{(1,1)}
- D
{0}
True or false: If A represents U and B represents T, then the matrix of T∘U is BA, because U is applied first.
- A
True
- B
False
A matrix represents a transformation from R4 to R2. How many rows does the matrix have?
Complete the rank-nullity theorem: \dim V=\operatorname(T)+\operatorname(T).
Select all statements that correctly describe matrix representations and change of basis.
- A
Each column records the coordinates of the image of one input-basis vector.
- B
The matrix has one column for each vector in the input basis.
- C
Changing the basis necessarily changes the underlying linear transformation.
- D
For a linear operator, matrices in two bases are related by A′=P−1AP.
Let B′={(1,1),(1,−1)} and let PE←B′=[111−1]. If [v]B′=(2,3)T, what is [v]E?
- A
(2,3)
- B
(3,2)
- C
(5,−1)
- D
(−1,5)
For T:R3→R2 defined by T(x,y,z)=(x+y,y+z), determine the kernel, image, rank, and nullity. Explain how your results satisfy the rank-nullity theorem.
For T:R2→R defined by T(x,y)=x+2y, which subspace is kerT?
- A
span{(2,1)}
- B
span{(−2,1)}
- C
span{(1,−2)}
- D
{0}
Suppose T is linear, T(u)=(1,−2), and T(v)=(3,1). What is T(2u−3v)?
- A
(−7,7)
- B
(7,−7)
- C
(−7,−7)
- D
(7,7)
For every linear transformation, the kernel is a subspace of the transformation's domain.
- A
True
- B
False
Let T:R2→R2 satisfy T(1,0)=(2,1) and T(0,1)=(−1,3). What is the matrix of T relative to the standard bases?
- A
[2−113]
- B
[21−13]
- C
[123−1]
- D
[−1321]
Let U have matrix A=[1021] and let T have matrix B=[2103]. What is the entry in row 1, column 2 of the matrix for T∘U?
Let E be the standard basis and let B′={(1,1),(1,−1)}. If PE←B′=[111−1] and [v]B′=(2,3)T, what is [v]E?
- A
(1,5)T
- B
(5,1)T
- C
(5,−1)T
- D
(−1,5)T
For T:R3→R2 defined by T(x,y,z)=(x+y,y+z), which statement is correct?
- A
One-to-one but not onto
- B
Onto but not one-to-one
- C
Both one-to-one and onto
- D
Neither one-to-one nor onto
A linear transformation T:V→W has dimV=5 and rank(T)=3. What is nullity(T)?
True or false: For linear transformations U:U0→V and T:V→W, every vector in kerU is also in ker(T∘U).
- A
True
- B
False