Linear Equations - Computational Linear Algebra - Exam, Exams of Linear Algebra

This is the Exam of Computational Linear Algebra and its key important points are: Linear Equations, Complete Solution, Square Matrix, Nonsingular Matrix, Same Column Space, Compute the Coordinates, Vectors, Symmetric, Frobenius Norm, Skew Symmetric

Typology: Exams

2012/2013

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CSE 313
Midterm Examination
March 5, 2004
Question 1: {15 pts}
Consider the following system of linear equations:
21325
1334
423
=+
=+++
=+++
zyxw
zyxw
zyxw
Give the complete solution to this system – show your work.
Question 2: {15 pts}
If A is a square matrix such that (I – A) is nonsingular prove
that:
AAIAIA 11 )()( =
Question 3: {15 pts}
Suppose two matrices, A and B, are row equivalent, that is there
exists a nonsingular matrix P such that PA = B. Answer the
following questions about A and B. Explain your answer in each
case.
Do A and B have the same column space ie does:
)()( BRAR =
Do A and B have the same null space ie does:
)()( BNAN =
Do A and B have the same row space ie does:
)()( TT BRAR =
Do A and B have the same left hand null space ie does:
)()( TT BNAN =
Question 4: {15 pts}
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CSE 313

Midterm Examination

March 5, 2004

Question 1: {15 pts}

Consider the following system of linear equations:

w x y z

w x y z

w x y z

Give the complete solution to this system – show your work.

Question 2: {15 pts}

If A is a square matrix such that (I – A) is nonsingular prove

that:

A ( I−A)−^1 =(I−A)−^1 A

Question 3: {15 pts}

Suppose two matrices, A and B, are row equivalent, that is there

exists a nonsingular matrix P such that PA = B. Answer the

following questions about A and B. Explain your answer in each

case.

• Do A and B have the same column space ie does: R(^ A)=R(B)

• Do A and B have the same null space ie does: N^ (^ A)=N(B)

• Do A and B have the same row space ie does: R^ (^ AT^ )=R(BT)

• Do A and B have the same left hand null space ie does:

N ( AT^ )=N(BT )

Question 4: {15 pts}

Show that the following set of vectors constitute a basis for ℜ 3.

Compute the coordinates of the following vectors

with respect to this basis: 

Question 5: {15 pts}

If x and y are vectors such that x^ −^ y 2 = x+y 2 what is xTy?

Question 6: {15 pts}

If A is a square matrix prove that

2 2 2 A (^) F = A+^ F+ A− F

where A^2 F =^ tr(At^ A) denotes the square of the Frobenius norm

of A, 2

A +^ =A+^ A^ T

denotes the symmetric part of A and

A −^ =A−^ A^ T

denotes the skew symmetric part of A