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Linear Transformation - Linear Algebra - Exam, Exams of Linear Algebra

These are the notes of Exam of Linear Algebra which includes Initial Value Problem, General Solution, Erential Equation, Origin Parallel, Line, Vector Space, Dimension etc. Key important points are: Linear, Matrix, Transformation, Standard Matrix, One to One, Vector, Matrix Operations, Standard Matrix, Inverse, Invertible

Typology: Exams

2012/2013

Uploaded on 02/12/2013

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MT210 TEST 2
İLKER S. YÜCE
APRIL 3, 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
.
1
pf3
pf4
pf5

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MT210 TEST 2

İLKER S. YÜCE

APRIL 3, 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 =

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.) Find, if there is any, a vector v⃗ such that ( S ◦ T )( v⃗ ) = b⃗ where ⃗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.

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 .)