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Test Unit 2 MB2

Total questions: 10

Worksheet time: 5mins

Name
Class
Date
1.

An eigenvector of a square matrix might be zero

a)

True

b)

False

c)

Sometimes

d)

More data are needed

2.

An eigenvalue of a square matrix might be zero

a)

False

b)

True

c)

Sometimes

d)

Maybe

3.

A 2x2 matrix must have two different eigenvalues

a)

True

b)

False

c)

Sometimes

d)

Maybe

4.

How do you determine the eigenvalues of a square matrix A?

a)

Compute Det(A)

b)

Solve (At.A)x=Atb

c)

Compute Det(A-λI)

d)

Compute roots of Det(A-λI)

5.

If AA is diagonalizable, then AA can be factored into a product

a)

A=P−1.D.PA=P^{-1}.D.P

b)

A=P.D.P−1A=P.D.P^{-1}

c)

A=P−1.D.P−1A=P^{-1}.D.P^{-1}

d)

A=P.D.PA=P.D.P

6.

If A.x=λxA.x=\lambda x where x is not the null vector, then x is an eigenvector of A.

a)

True

b)

False

c)

Maybe

d)

Sometimes

7.

A square matrix A of order n with n different eigenvalues is

a)

Not diagonalizable

b)

Diagonalizable

c)

Not invertible

d)

Invertible

8.

If the vector v is an eigenvector of matrix A, then cv is also an eigenvector.

a)

True

b)

False

c)

Maybe

d)

Sometimes

9.

If λ is an eigenvalue of matrix A, then linear system (A-λI)v=0 has only trivial solution.

a)

True

b)

False

c)

Ooh! Good question!

d)

LoL

10.

A quadratic form is PSD, then if we classify that quadratic form restricted to a particular vector subspace could be...

a)

None enough information

b)

PD or PSD

c)

Always PSD

d)

PSD or IND