Questions with Solution for Linear Algebra | MATH 217, Exams of Linear Algebra

Material Type: Exam; Professor: Schwede; Class: Linear Algebra; Subject: Mathematics; University: University of Michigan - Ann Arbor; Term: Unknown 1989;

Typology: Exams

Pre 2010

Uploaded on 09/02/2009

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1. Let T:R3→R3be the linear transformation such that
T


1
0
0


=

1
3
0

, T 


0
1
0


=

0
0.5
2

,and T


0
0
1


=

1
4
3


(a) Write down a matrix Asuch that T(x) = Ax(10 points).
A=

101
3 0.5 4
023


(b) Find an inverse to Aor say why it doesn’t exist. If you can’t figure out part (a), use
the matrix 

1 1 0
3 4 1
3
0 8 4

. (20 points)
Aāˆ’1=

13 āˆ’4 1
18 āˆ’6 2
āˆ’12 4 āˆ’1


(c) Explain why the product Aāˆ’1

1
3
0

should equal 

1
0
0

. Check if your inverse matrix
satisfies this property. (10 points)
We have, Aāˆ’1

1
3
0

=Aāˆ’1A

1
0
0

=I3Ɨ3

1
0
0

=

1
0
0

. In our particular case, we
just note that
(1)(13) + (3)(āˆ’4) + (0)(1) = 1,
(1)(18) + (āˆ’6)(3) + (0)(2) = 0 and
(1)(āˆ’12) + (3)(4) + (0)(āˆ’1) = 0.
1
pf3
pf4

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  1. Let T : R^3 → R^3 be the linear transformation such that

T

 , T

 (^) , and T

(a) Write down a matrix A such that T (x) = Ax (10 points).

A =

(b) Find an inverse to A or say why it doesn’t exist. If you can’t figure out part (a), use

the matrix

. (20 points)

Aāˆ’^1 =

(c) Explain why the product Aāˆ’^1

 (^) should equal

. Check if your inverse matrix

satisfies this property. (10 points)

We have, Aāˆ’^1

 = Aāˆ’^1 A

 = I 3 Ɨ 3

. In our particular case, we

just note that (1)(13) + (3)(āˆ’4) + (0)(1) = 1, (1)(18) + (āˆ’6)(3) + (0)(2) = 0 and (1)(āˆ’12) + (3)(4) + (0)(āˆ’1) = 0.

1

  1. Suppose M is a 3 Ɨ 4 matrix. If the system of equations corresponding to M x = 0 has two free variables, is it possible that the linear transformation

x → M x

is surjective (recall surjective means onto) or injective (recall injective means one-to-one)? Why or why not? (15 points)

Since M has two free variables, it has two columns without pivots. Since it has four columns, it must have only 2 pivots. Therefore we note that M doesn’t have a pivot in every column, and so the associated linear transform is NOT injective. We likewise note that M doesn’t have a pivot in every row, and so we know that the associated linear is NOT surjective.

  1. Suppose that {v 1 , v 2 , v 3 } is a linearly independent set of vectors in R^6. Further suppose that w is a vector in R^6 such that

w is not an element of Span(v 1 , v 2 , v 3 ).

Is it true that {v 1 , v 2 , v 3 , w} is linearly independent? Why or why not? (15 points)

It is linearly independent. Suppose that c 1 v 1 + c 2 v 2 + c 3 v 3 + c 4 w = 0 for some constants ci. We want to show that these constants must all be zero (which will show what we want). We consider two cases. Case 1: c 4 6 = 0. But then we can write w = āˆ’ cc 41 v 1 + āˆ’ cc 42 v 2 + āˆ’ cc 43 v 3 which is impossible since w is not in the span of {v 1 , v 2 , v 3 }. Case 2: c 4 = 0. Then we have that c 1 v 1 + c 2 v 2 + c 3 v 3 = 0 which implies that c 1 , c 2 , and c 3 must be zero as well. Therefore, the only possibility is that all the ci are zero which proves what we wanted.

(EC) Suppose that A is an invertible 6 Ɨ 6 matrices and B is an invertible 4 Ɨ 4 matrix. If

C =

[

06 Ɨ 4 A

B 04 Ɨ 6

]

then find Cāˆ’^1 as a partitioned matrix in terms of Aāˆ’^1 and Bāˆ’^1. Explicitly state the sizes of the various pieces of the partitioned Cāˆ’^1. Here 0 6 Ɨ 4 means the matrix with all entries zero and with 6 rows and 4 columns. (5 points)

First we check that the matrix C really is square. Since A has 6 columns, we see that C has 6 + 4 = 10 columns. Since B has 4 rows, we see that C has 4 + 6 = 10 rows. Therefore C is square. So break up Cāˆ’^1 into

D = Cāˆ’^1 =

[

D 11 D 12

D 21 D 22

]

where D 11 is 4 Ɨ 6, D 12 is 4 Ɨ 4, D 21 is 6 Ɨ 6 and D 22 is 6 Ɨ 4. We know that

CD = I 10 Ɨ 10 =

[

I 6 Ɨ 6 06 Ɨ 4

04 Ɨ 6 I 4 Ɨ 4

]

Therefore we have the following four equations,

(1) (^06) Ɨ 4 D 11 + AD 21 = I 6 Ɨ 6

(2) BD 11 + 0 4 Ɨ 6 D 21 = 0 4 Ɨ 6

(3) (^06) Ɨ 4 D 12 + AD 22 = 0 6 Ɨ 4

(4) BD 12 + 0 4 Ɨ 6 D 22 = I 4 Ɨ 4

We first consider equation (2). This is just BD 11 = 0 4 Ɨ 6. Since B is invertible, we see that D 11 = Bāˆ’^104 Ɨ 6 = 0 4 Ɨ 6. Likewise when considering equation (3), we see that AD 22 = 0 6 Ɨ 4 , and therefore, since A is invertible, D 22 = Aāˆ’^106 Ɨ 4 = 0 6 Ɨ 4. Equation (1) says that AD 21 = I 6 Ɨ 6 and so D 21 = Aāˆ’^1 since D 21 is square. Likewise, equation (4) says that BD 12 = I 4 Ɨ 4 and so D 12 = Bāˆ’^1 since D 12 is square. In summary, D =

[

04 Ɨ 6 Bāˆ’^1

Aāˆ’^1 06 Ɨ 4

]

A quick check verifies that D is indeed is the inverse to C.