Linear Algebra Practice Exam 2, Exams of Linear Algebra

Three problems related to linear algebra. The first problem involves solving for X given matrices A, B, and X. The second problem requires finding a basis for the column space and null space of a matrix. The third problem involves change of basis and requires finding matrices A, P, and B. step-by-step solutions to each problem.

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LINEAR ALGEBRA PRACTICE EXAM 2
(1) Invertible matrices.
Suppose A,B, and Xare matrices that satisfy the relation AX A=B, where
A=
0 1 0
1
32
3
1
3
1 2 0
and B=
1 3 4
1 2 0
4 5 6
.
Solve for X.
answer: Solving for Xsymbolically, we see that
AX =B+AX=A1(B+A) = A1B+I.
We not compute A1:
0 1 0 1 0 0
1
32
3
1
30 1 0
1 2 0 0 0 1
0 1 0 1 0 0
121030
1 2 0 0 0 1
0 1 0 1 0 0
121030
0 0 1 0 3 1
121030
0 1 0 1 0 0
0 0 1 0 3 1
12 0 0 0 1
0 1 0 1 0 0
0 0 1 0 3 1
100201
0 1 0 1 0 0
0 0 1 0 3 1
,
hence
A1=
2 0 1
1 0 0
0 3 1
.
Now solving for X:
X=A1B+I
=
2 0 1
1 0 0
0 3 1
1 3 4
1 2 0
4 5 6
+
100
010
001
=
612
134
7 11 6
+
100
010
001
=
512
144
7 11 7
(2) Column space and null space of a matrix.
Let
A=
21 1 6 8
124 3 2
7 8 10 3 10
457 0 4
.
Find a basis for Col(A) and Nul(A).
1
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(1) Invertible matrices.

Suppose A, B, and X are matrices that satisfy the relation AX − A = B, where

A =

1 3 −^

2 3

1 3 − 1 2 0

 (^) and B =

Solve for X. answer: Solving for X symbolically, we see that AX = B + A ⇒ X = A−^1 (B + A) = A−^1 B + I. We not compute A−^1 : 

1 3 −^

2 3

1 3 0 1 0 − 1 2 0 0 0 1

hence

A−^1 =

Now solving for X: X = A−^1 B + I

(2) Column space and null space of a matrix.

Let

A =

Find a basis for Col(A) and Nul(A).

1

answer: You can verify that

rref(A) =

Hence a basis for Col(A) is  



From the reduced matrix, we also see that    

x 1 x 2 x 3 x 4 x 5

= x 3

  • x 4
  • x 5

so a basis for Nul(A) is   

 

(3) Change of basis.

Let T : R^2 → R^2 be the linear transformation of the plane defined by T (x) = xv··vv v − 2 x, where

v =

[

]

, and let B =

{[

]

[

]}

(a) Find the matrix A that satisfies T (x) = Ax. (b) Find the matrix P that satisfies P [x]B = x. (c) Find the matrix B that satisfies [T (x)]B = B[x]B. (d) Verify that AP = P B. answer: (a) A =

[

T (e 1 ) T (e 2 )

]

, where {e 1 , e 2 } is the standard basis for R^2. We compute:

T (e 1 ) =

[

]

[

]

[

]

T (e 2 ) =

[

]

[

]

[

]

so A =

[

]

(b) P =

[

v 1 v 2

]

, where B = {v 1 , v 2 }. Thus P =

[

]

(c) B =

[

[T (v 1 )]B [T (v 2 )]B

]

. We compute:

T (v 1 ) =

[

] [

]

[

]

= v 1 , so [T (v 1 )]B =

[

]