Deck 3: Matrices
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Deck 3: Matrices
1
Let
and find
and
where







2
Let
, and find
and
where


, and find





3
Determine if the given vector is in the range of
where



Yes,
is in the range of T.

is in the range of T.
4
Determine if the given vector is in the range of
where



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5
Find
, given that


, given that

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6
Identify the matrix
such that
where




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7
Determine whether
is one-to-one, and whether
is onto, where
and





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8
Determine whether
is one-to-one, and whether
is onto, where
and





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9
Determine whether
is one-to-one, and whether
is onto, where
and





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10
Suppose that
for
. Sketch a graph of the image under
of the unit square in the first quadrant of R2.


. Sketch a graph of the image under

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11
If
is a linear transformation, then
for all vectors
and
.




.
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12
If
is a linear transformation, then
for all vectors
and
.




.
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13
If
is a one-to-one linear transformation from R2 to R2, then the image of the unit square under
is a parallelogram with positive area.


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14
If
for a matrix
, and
is a one-to-one linear transformation, then the number of columns of
is less than or equal to the number of rows of
.


, and



.
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15
If
for a matrix
, and
is an onto linear transformation, then the number of columns of
is greater than or equal to the number of rows of
.


, and



.
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16
Evaluate AB, where


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17
Evaluate AB-BA, where


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18
Evaluate 3AB, where


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19
Evaluate AAT-ATA, where


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20
Evaluate
where
is a positive integer, and




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21
Solve for the scalars a, b, c in the following equation:


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22
Let
and
be the linear transformations given by
Find the matrix
such that
.



Find the matrix


.
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23
Let
and
be the linear transformations given by
Find the matrix
such that
, and the matrix
such that
.



Find the matrix


, and the matrix


.
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24
Suppose
is a
matrix, and
is a
matrix, and the product AB is defined and is a
matrix. Determine
,
, and
.






,

, and

.
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25
Determine AB using block multiplication, where


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26
If
is any square matrix, then the matrix
is symmetric.


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27
If
is any square matrix, then the matrix
is symmetric.


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28
If
and
are
symmetric matrices, then AB is an
symmetric matrix.




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29
If
and
are
symmetric matrices, then
is an
symmetric matrix.





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30
If
is an
upper triangular matrix, and
is an
lower triangular matrix, then ABT is an
upper triangular matrix.





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31
If
is any matrix, then the matrices
and AAT are both symmetric.


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32
Use the quick formula to determine the inverse of


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33
Use an augmented matrix and row operations to find the inverse of


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34
Use an augmented matrix and row operations to find the inverse of


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35
Use an augmented matrix and row operations to find the inverse of


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36
Use an augmented matrix and row operations to find the inverse of


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37
Use the matrix
to find the solutions to the linear system



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38
Use the matrix
to find the solutions to the linear system



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39
Determine if the given linear transformation
is invertible, and if so, find
.



.

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40
Determine if the given linear transformation
is invertible, and if so, find
.



.

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41
Determine if the given linear transformation
is invertible, and if so, find
.



.

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42
If
is a square matrix such that
has a solution for some particular vector
, then
is invertible.



, then

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43
If
and
are
invertible matrices, then so is





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44
If
is a square invertible matrix, then
is an invertible matrix for every positive integer
, with




, with

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45
If
is a square invertible matrix, and
then




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46
If
and
are
matrices, and
and
are both not invertible, then
is not invertible.






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47
Use the given LU factorization to solve
where



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48
Use the given LU factorization to solve
where



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49
Find an LU factorization of


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50
Find an LU factorization of


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51
Find an LU factorization of


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52
Find an LU factorization of


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53
Find an LDU factorization of


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54
Find an LDU factorization of


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55
Determine
by evaluating
from the LDU factorization




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56
Every matrix
has an LU factorization.

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57
If
is a square invertible matrix which has an LU factorization, then the factorization is unique.

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58
Every matrix
has an LDU factorization.

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59
If
is a square matrix which has an LU factorization, then
is invertible.


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60
Every elementary matrix has an LU factorization.
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61
If both A and B are
matrices such that their product AB has an LU factorization, then both A and B have LU factorizations.

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62
Determine if the matrix is a stochastic matrix.


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63
Determine if the matrix is a stochastic matrix.


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64
Find the state vector
for the given stochastic matrix and initial state vector.



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65
Find the state vector
for the given stochastic matrix and initial state vector.



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66
Find all steady-state vectors for the given stochastic matrix.


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67
Find all steady-state vectors for the given stochastic matrix.


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68
Find all steady-state vectors for the given stochastic matrix.


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69
Find all steady-state vectors for the given stochastic matrix.


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70
Determine if the given matrix is regular.


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71
Determine if the given matrix is regular.


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72
If
and
are
stochastic matrices, then
is a stochastic matrix.




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73
A matrix
is doubly stochastic if and only if
is doubly stochastic.


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74
The
identity matrix
is a regular stochastic matrix.


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75
If
and
are
doubly stochastic matrices, then AB is a doubly stochastic matrix.



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76
If
and
are
regular stochastic matrices, then AB is a regular stochastic matrix.



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