Linear Transformations: Finding Standard Matrices, Inverses, and Subspaces, Exams of Linear Algebra

Solutions to various problems related to linear transformations, including finding standard matrices, determining if a transformation is one-to-one or onto, and finding vectors and inverses. It also covers matrix operations and characterizations of invertible matrices, as well as finding bases for the range and null space of a transformation.

Typology: Exams

2012/2013

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MT210 TEST 2 SAMPLE 2
ILKER S. YUCE
MARCH 29, 2011
QUESTION 1. THE MATRIX OF A LINEAR TRANSFORMATION
Define the linear transformation T:R3ÏR3so that
x1
x2
x3
x1+ 2x3
2x1+x2+ 3x3
x1x2+ 3x3
.
a.) Find the standard matrix of T.b.) Is Tone-to-one? c.) Is Tonto? d.) If there is any, find a vector v
such that T(v) =
bwhere
b=
2
2
1
.
ANSWER
(a.) The standard matrix is Awhere
A=
1 0 2
2 1 3
11 3
1 0 2
0 1 1
0 0 0
(b) No, T is not one-to-one. Because A x =
0has infinitely many solutions.
(c) No, T is not onto. Because, the number of pivot positions is not equal to the number of rows.
(d) No, there is no such vector because we have
[A
b] =
1 0 2 2
2 1 3 2
11 3 1
1 0 2 0
0 1 1 0
0 0 0 1
1
pf3
pf4
pf5

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MT210 TEST 2 SAMPLE 2

ILKER S. YUCE

MARCH 29, 2011

QUESTION 1. THE MATRIX OF A LINEAR TRANSFORMATION

Define the linear transformation T : R^3 Ï R^3 so that  

x 1 x 2 x 3

 7 Ï

x 1 + 2 x 3 2 x 1 + x 2 + 3 x 3 x 1 − x 2 + 3 x 3

a.) Find the standard matrix of T. b.) Is T one-to-one? c.) Is T onto? d.) If there is any, find a vector v⃗

such that Tv ( ) = ⃗b where b⃗ =

ANSWER

(a.) The standard matrix is A where

A =

(b) No, T is not one-to-one. Because A⃗x = 0 has infinitely many solutions. (c) No, T is not onto. Because, the number of pivot positions is not equal to the number of rows. (d) No, there is no such vector because we have

[ A⃗ b ] =

QUESTION 2. MATRIX OPERATIONS

Define the linear transformations T : R^3 Ï R^3 and S : R^3 Ï R^3 so that

T

x 1 x 2 x 3

x 1 2 x 2 + x 3 x 2 − x 3 2 x 3

 (^) and S

x 1 x 2 x 3

−x 3 −x 2 + 2 x 3 −x 1 + 2 x 2 − x 3

a.) Find the standard matrix of S ◦ T. b.) Find the standard matrix of T ◦ S. c.) Find, if there is any, a

vector v⃗ such that ( S ◦ T )( v⃗ ) = ⃗b where b⃗ =

ANSWER

(a.) The standard matrix BA of S ◦ T is the product of the standard matrix B of S and the standard matrix A of T where

A =

 , B =

 Ñ BA =

(b.) The standard matrix AB of T ◦ S is the product of the standard matrix B of S and the standard matrix A of T where

A =

 , B =

 Ñ AB =

(c.) [ BA⃗ b ] =

 (^) Ñv⃗ =

QUESTION 4. CHARACTERIZATIONS OF INVERTIBLE MATRICES

Use the invertible matrix theorem to determine the value(s) of λ for which the matrix  

λ − 1 0 1 λ − 1 0 1 λ

is invertible.

ANSWER

Let us assume that λ ̸ = 0. Then we get

A =

λ − 1 0 1 λ − 1 0 1 λ

1 λ − 1 0 1 λ 0 0 λ ( λ^2 1) − λ

We solve λ ( λ^2 1) − λ = 0 and we derive that λ ̸ = 0 and λ ̸ =

2 and λ ̸ =

[ A|I ] ∼

^10 01

^ 2 1+ λ + λλ^23 2 λ^ λ + λ^3 2 λ^1 + λ^3 2 λ^ λ + λ^3 2^ λλ^2 + λ^3 2 λ^ λ + λ^3 2 λ^1 + λ^3 2 λ^ λ + λ^3 ^ 2 1+ λ + λλ^23

 Ñ A− 1 =

^ 2 1+ λ + λλ^23 2 λ^ λ + λ^3 2 λ^1 + λ^3 2 λ^ λ + λ^3 2^ λλ^2 + λ^3 2 λ^ λ + λ^3 2 λ^1 + λ^3 2 λ^ λ + λ^3 ^ 2 1+ λ + λλ^23

QUESTION 5. SUBSPACES OF R n

Let T : R^3 Ï R^3 be a linear transformation and B = {v⃗ (^) 1 v,⃗ (^) 2 v,⃗ (^) 3 } a basis for R^3. Suppose Tv ( (^) 1 ) = ( 2 , 1 , 1), Tv ( (^) 2 ) = (0 , 1 , − 1) and Tv ( 3 ) = ( 2 , 2 , 0). a.) Determine whether w⃗ = ( 6 , 5 , 0) is in the range of T. b.) Find a basis for the range of T. c.) Find a basis for the null space of T .(Remark. Range of T is the same space as the column space of A where A is the standard matrix of T .)

ANSWER

(a) We need to solve x 1 Tv ( (^) 1 ) + x 2 Tv ( (^) 2 ) + x 3 Tv ( (^) 3 ) = w⃗ :  

Therefore, w⃗ is not in the range. (b) Range T=Col A where A = [ Tv ( (^) 1 ) Tv ( 2 ) Tv ( (^) 3 )]. Thus, we get

BC =

(c) Nul A =

x^3

 (^) : x 3 R

. Thus, we get

BN =