Linear Transformations and Matrices: Sample Exam Questions, Exams of Linear Algebra

Six sample exam questions on linear transformations and matrices. The questions cover topics such as finding standard matrices, determining if transformations are one-to-one or onto, finding vectors that map to given vectors, and calculating the inverse of a matrix. Students are expected to use matrix operations and the invertible matrix theorem to solve the problems.

Typology: Exams

2012/2013

Uploaded on 02/12/2013

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MT210 TEST 2 SAMPLE 1
ILKER S. YUCE
MARCH 29, 2011
QUESTION 1. THE MATRIX OF A LINEAR TRANSFORMATION
Define the linear transformation T:R2ÏR3so that
[x1
x2]
x1x2
x1+ 2x2
x1+x2
.
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=
1
2
1
.
1
pf3
pf4
pf5

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MT210 TEST 2 SAMPLE 1

ILKER S. YUCE

MARCH 29, 2011

QUESTION 1. THE MATRIX OF A LINEAR TRANSFORMATION

Define the linear transformation T : R^2 Ï R^3 so that [ (^) x 1 x 2

]

7 Ï

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

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

d.) If there is any, find a vectorv ⃗ such that Tv(⃗ ) = ⃗b where b⃗ =

QUESTION 2. MATRIX OPERATIONS

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

T

([ (^) x 1 x 2

])

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

 (^) and S

x 1 x 2 x 3

[ (^) x 1 +^ x 2 x 1 x 2

]

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 =

[ 1

]

QUESTION 4. CHARACTERIZATIONS OF INVERTIBLE MATRICES

Use the invertible matrix theorem to find the value(s) of s so that the matrix  

s 1 0 0 s 1 0 1 s

is invertible.

QUESTION 5. SUBSPACES OF Rn

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. b.) Find the null space of T. 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.)