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Linear - 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 Transformation, Matrix, One to One, Vector, Matrix Operations, Standard Matrix, Inverse of a Matrix, Invertible, Formula, Characterizations

Typology: Exams

2012/2013

Uploaded on 02/12/2013

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MT210 TEST 2 SAMPLE 4
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+x2+x3
x1x2+x3
x1x2x3
.
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
2
1
.
1
pf3
pf4
pf5

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MT210 TEST 2 SAMPLE 4

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 + x 2 + x 3 x 1 x 2 + x 3 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 vectorv ⃗ such that Tv(⃗ ) = ⃗b where b⃗ =

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

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

 (^) and S

x 1 x 2 x 3

2 x 1 2 x 2 + x 3 x 2 3 x 3 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 vectorv⃗ such that (S T)(v⃗ ) = ⃗b where b⃗ =

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 1 2 1 1

is NOT invertible.

QUESTION 5. SUBSPACES OF Rn

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 ) = ( 1 , 2 , 1), Tv(⃗ 2 ) = (0, 5 , 0) and Tv(⃗ 3 ) = ( 1 , 1 , 2). a.) Determine whetherw⃗ = ( 2 , 1 , 2) 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. d.) Find the dimension of 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. Null space of T is the same space as the null space of A where A is the standard matrix of T.)