Vector - Linear Algebra - Solved Exam, Exams of Linear Algebra

These are the notes of Solved Exam of Linear Algebra which includes Pivot Positions, Matrix, Linear Transformation, Linear Transformation, One to One, Vector, Trivial Solution etc. Key important points are: Vector, Standard Matrix, Matrix, Linear Transformation, One to One, Matrix Operations, Mention, Inverse of a Matrix, Invertible Linear Transformation, Characterizations

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MT210 TEST 2
İLKER S. YÜCE
APRIL 19, 2011
SURNAME, NAME:
QUESTION 1. THE MATRIX OF A LINEAR TRANSFORMATION
Define the linear transformation T:R3ÏR3so that
x1
x2
x3
x1x2+ 2x3
x12x2+x3
2x1+x2+x3
.
a.) Find the standard matrix of T.
b.) Is Tone-to-one? Explain.
c.) Is Tonto? Explain.
d.) If there is any, find a vector v such that T(v) =
bwhere
b=
2
1
3
.
ANSWER
a.) The standard matrix is Awhere
A=
11 2
12 1
2 1 1
1 0 1
0 1 1
0 0 0
b) No, T is not one-to-one. Because A x =
0has solutions other than the trivial solution.
c) No, T is not onto. Because, the number of pivot positions is less than the number of rows.
d) Yes, there is such vector, e.g., v =
5
3
1
3
0
, because we have
[A
b] =
11 2 2
1 2 1 1
2 1 1 3
1 0 1 5
3
0 1 11
3
0 0 0 0
1
pf3
pf4
pf5

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MT210 TEST 2

İLKER S. YÜCE

APRIL 19, 2011

SURNAME, NAME:

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

a.) Find the standard matrix of T. b.) Is T one-to-one? Explain. c.) Is T onto? Explain.

d.) If there is any, find a vector v ⃗ 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 solutions other than the trivial solution. c) No, T is not onto. Because, the number of pivot positions is less than the number of rows. d) Yes, there is such vector, e.g., v ⃗ =

(^53) ^13 0

, because we have

[ A⃗ b ] =

0 1 − 1 −^13

QUESTION 2. MATRIX OPERATIONS

Define the linear transformations T : R^4 Ï R^2 and S : R^2 Ï R^3 so that

T

x 1 x 2 x 3 x 4

[ (^) x 1 ^ x 2 +^ x 3 +^ x 4 x 1 + x 2 + x 3 − x 4

]

and S

([ (^) x 1 x 2

])

−x 1 + x 2 x 1 2 x 2 2 x 1 − x 2

a.) Find the standard matrix of S ◦ T. b.) Is it possible to mention T ◦ S? Explain.

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 =

[ 1 − 1 1 1

]

, B =

 Ñ BA =

(b.) No, it is not possible to mention T ◦ S because codom ( S ) ̸ = dom ( T ). (c.) There is no such v⃗ because

[ BA⃗ b ] =

QUESTION 4. CHARACTERIZATIONS OF INVERTIBLE MATRICES

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

A =

1 λ 0 3 2 0 1 2 1

is NOT invertible.

ANSWER

We reduce the given matrix:

A ∼

1 λ 0 3 2 0 1 2 1

 ∼ B =

1 λ 0 0 2 3 λ 0 0 4 3

By IMT, A is not invertible if and only if the columns of A are linearly dependent. Assume that λ ̸ = 23. Then we see that

B ∼

1 λ 0 0 2 3 λ 0 0 4 3

 ∼ C =

1 λ 0 0 2 3 λ 0 0 0 3

Note that C has 3 pivot position as long as λ ̸ = 23. Therefore we conclude that A is not invertible if and only if 2 3 λ = 0 or λ = 23.

QUESTION 5. SUBSPACES OF R n

Define the linear transformation T : R^4 Ï R^3 by T

x 1 x 2 x 3 x 4

x 1 + x 2 x 2 − x 3 x 1 + x 4

a.) Find the column space of T. Find the dimension of the column space. b.) Find the null space of T. Find the dimension of the null space. c.) Find a basis for the column space of T. d.) Find a basis for the null space of T .(Remark. The column space of T is Col A and the null space of T is Nul A where A is the standard matrix of T .)

ANSWER

(a) The standard matrix A of T is

A =

 (^) Ñ Col A =

c^1

 (^) + c 2

 (^) + c 3

 (^) + c 4

 (^) : c 1 , c 2 , c 3 , c 4 R

(b)

A =

 (^) Ñ Nul A =

^ x^4

 :^ x^4 ^ R

(c) A =

 Ñ BC =

(d)

Nul A =

^ x^4

 :^ x^4 ^ R

^ Ñ BN^ =

^.