SFU Math 232 Midterm 2: Determinants & Linear Transformations Solutions, Exams of Linear Algebra

Solutions to the math 232 midterm 2 exam held at simon fraser university. It covers topics on determinants, matrix operations, and linear transformations. The solutions include step-by-step calculations and explanations.

Typology: Exams

2012/2013

Uploaded on 02/18/2013

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Simon Fraser University
Math 232 Midterm 2 Solutions
1. F T F F F T
2.
a.
( ) ( )
1 2 1 2
12 12
0 2
1 det 1 det 4
2 4
C A
+ +
= = =
( ) ( )
2 3 2 3
23 23
3 6
1 det 1 det 3
2 3
C A
+ +
= = =
( ) ( )
3 1 3 1
31 31
6 7
1 det 1 det 2
2 2
C A
+ +
= = =
b.
3
11 21 31 2
1
12 22 32
3
13 23 33 2
1 1
det 2
4 3 6 2 3
C C C
A C C C
AC C C
= = =
3.
a.
3 3 1 3 3 2
2
1 3 3 4 1 3 3 4
0 1 2 5 0 1 2 5
det det det 0
0 1 2 5 0 0 0 0
3 7 5 2 3 7 5 2
r r r r r r
A
+
= = =
b.
det 0
A
=
, so A is not invertible.
4.
a.
Because
1
P
is isomorphic to
2
through the standard co-ordinate map (that is, the map
that sends the standard basis vectors of
1
P
to the standard basis vectors of
2
),
P P
=
C B C B
where
[ ] [ ]
{ }
1 1
1 , 1 ,
1 1
t t
= + =
E E
B
and
[ ] [ ]
{ }
2 1
2 , 1 2 ,
1 2
t t
= + + =
E E
C
, and where
{
}
1,
t
=
E
is the standard basis for
1
P
.
To solve this equivalent problem:
( )
( )
1
3
1
3
1
2 1 1 1 1 2 1 1 1 0
~ ~ 1
1 2 1 1 0 3 1 3 0 1
C B I P
= =
C B
And so
1
3
1
3
1
1
P P
= =
C B C B
.
pf3

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Simon Fraser University

Math 232 Midterm 2 Solutions

1. F T F F F T

a.

1 2 1 2

12 12

1 det 1 det 4

C A

2 3 2 3

23 23

1 det 1 det 3

C A

3 1 3 1

31 31

1 det 1 det 2

C A

b.

3

11 21 31 2

1

12 22 32

3

13 23 33 2

det 2

C C C

A C C C

A

C C C

a.

3 3 1 3 3 2

2

det det det 0

r r r r r r

A

← − ← +

b. det A = 0 , so A is not invertible.

a. Because

1

P is isomorphic to

2

 through the standard co-ordinate map (that is, the map

that sends the standard basis vectors of

1

P to the standard basis vectors of

2

P P

′ ′ ← ←

C B C B

where

[ ] [ ]

{ }

t t

E E

B and

[ ] [ ]

{ }

t t

E E

C , and where

E = 1, t is the standard basis for

1

P.

To solve this equivalent problem:

( ) ( )

1

3

1

3

C B I P

′ ←′

C B

And so

1

3

1

3

P P

′ ′ ← ←

C B C B

b.

[ ] [ ]

1 1 4

3 3 3

1 1 2

3 3 3

P

C B

C B

a. A set B to be a basis for a vector space V if (i) B is a linearly independent set and (ii) B is a

spanning set for V.

b.

2 2 1 3 3 2 1 1 2

3 3 1

2

r r r r r r r r r

r r r

← − ← + ← −

← −

From the echelon form we see that the first and second columns of A are linearly

independent, thus

C

B is a basis for Col A. A basis for Row A consists of the

non-zero rows of any echelon form of A :

1,

R

B or

2,

R

B are

two possible choices for a basis for Row A. From the reduced echelon form of A , the null

space may be described as vectors of the form

s t

for any s and t. Thus

N

B is a basis for Nul A.

a. A set H to be a subspace of V if (i) HV , (ii) H ≠ ∅ , (iii) H is closed under vector

addition, and (iv) H is closed under scalar multiplication.

b. H is not a subspace of

2

 because, for instance,

H

and 2 is a scalar such that

H

. If

could be written in the form

2

a

a

, then, equating on the first

entry we must have a = 2 , but then

2

a = 4 and not 2 as required.

a. The kernel of T : VW is the set

ker T = xV T x = 0