Deck 9: Linear Transformations
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Deck 9: Linear Transformations
1
Let
be a linear transformation satisfying
.
Find


Find


2
Let
be a linear transformation satisfying
.Find
.




3
Determine whether the function
is a linear transformation, where
.


T is a linear transformation.
4
Determine whether the function
is a linear transformation, where
.


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5
Determine whether the function
is a linear transformation, where
.


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6
Determine the kernel and range of the linear transformation
given by
.


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7
Determine if the linear transformation
is one-to-one and/or onto.



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8
Let Q be an
invertible matrix, and let P be an
invertible matrix. Determine whether the function
is a linear transformation, where
, and if so, determine if T is one-to-one and/or onto.




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9
If S is a nonzero subspace of
, determine whether the function
is a linear transformation, where
, and if so, determine
.




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10
If
and
are linear transformations, then the composition
is a linear transformation.



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11
Suppose B is an
invertible matrix. The function
defined by
is a one-to-one and onto linear transformation.



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12
The function
defined by
, where
and
are nonzero scalars, is a linear transformation.




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13
Suppose
is a linear transformation and
is a set of vectors in V. If
is a linearly dependent set, then so is
.




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14
If
is an onto linear transformation, then T is one-to-one.

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15
Suppose
is a linear transformation that is not one-to-one, and is not the trivial transformation, that is,
for some v in V. Then
.



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16
Suppose S is a proper subspace of
. Can S be isomorphic to
?


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17
Suppose S is a proper subspace of
. Can S be isomorphic to
?


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18
Determine if the linear transformation
is an isomorphism.



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19
Determine if the linear transformation
is an isomorphism.



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20
Find
for the isomorphism
, where
.



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21
Suppose A and B are
invertible matrices. Find
for the isomorphism
, where
.




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22
Find
for the isomorphism
, where




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23
Suppose
are
orthogonal matrices, and let
be defined by
. Verify that
is a linear transformation, determine if
is an isomorphism, and if so, find
.







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24
Let
be defined by
. Verify that
is a linear transformation, determine if
is an isomorphism, and if so, find
.





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25
Find
for the isomorphism
, where
, for
.




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26
If
and
are isomorphisms, then the composition
is an isomorphism.



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27
If
and
are isomorphic subspaces of a vector space V then
.



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28
R is isomorphic to the subspace S of
defined by
.


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29
The subspace S of
of all sequences that are eventually zero is isomorphic to
.


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30
The vector spaces
and
are isomorphic. (Recall that
denotes the vector space of all linear transformations from
into 





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31
Find v given the coordinate vector
with respect to the basis G.



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32
Find v given the coordinate vector
with respect to the basis G.



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33
Find the coordinate vector of v with respect to the basis G. 

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34
Find the coordinate vector of v with respect to the basis G. 

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35
Suppose A is the matrix of the linear transformation
with respect to bases G and Q, respectively. Find
for the given
.





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36
Suppose A is the matrix of the linear transformation
with respect to bases G and Q, respectively. Find
for the given
.





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37
Find the matrix A of the linear transformation
with respect to bases G and Q, respectively.



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38
Find the matrix A of the linear transformation
with respect to bases G and Q, respectively.



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39
Let
. Find the matrix A of the linear transformation
with respect to bases G and Q, respectively.
,




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40
Suppose that
has matrix
with respect to the basis
for the domain and
for the codomain. Use the inverse of
to find
.






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41
If
has matrix
with respect to bases
for the domain and
for the codomain, then the matrix of T with respect to the bases
and
is
.







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42
If V is a finite-dimensional vector space, then the matrix A of a linear transformation
is invertible if and only if T is one-to-one.

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43
Suppose V and W are finite dimensional vector spaces, and
and
are linear transformations such that
for every v in V and
for every w in W. If the matrices
,
represent
,
respectively (with respect to the same bases for V and W), then
.









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44
If
is a linear transformation, with V a vector space having basis
, and if
for all i, where
is a scalar, then the matrix of T is diagonal, where G is the basis used for both the domain and codomain.




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45
Let V be a vector space with basis
, and let
be the linear transformation
. Then T is an isomorphism, and the matrix of T with respect to G and the standard basis is the
identity matrix.




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46
Find the change of basis matrix from G to H.


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47
Find the change of basis matrix from G to H.


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48
Suppose B is the matrix of
with respect to a basis H, and S is the change of basis matrix from a basis G to H. Find the matrix A of T with respect to G. 


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49
Suppose B is the matrix of
with respect to a basis H, and S is the change of basis matrix from a basis G to H. Find the matrix A of T with respect to G.


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50
Suppose B is the matrix of
with respect to the basis H. Find the matrix A of T with respect to the basis G. 


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51
Suppose B is the matrix of
with respect to the basis H. Find the matrix A of T with respect to the basis G. 


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52
Determine if A and B are similar matrices.


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53
Determine if A and B are similar matrices.
, 


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54
Determine if A and B are similar matrices.
,



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55
Determine if A and B are similar matrices.
,



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56
If A and B are similar matrices and B and C are similar matrices, then A and C are similar matrices.
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57
Every change of basis matrix is invertible.
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58
If S is a change of basis matrix from basis G to basis H, then
is a change of basis matrix from H to

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59
If A is an
matrix, then
is similar to an
diagonal matrix.



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60
If A, B, C, and D are
matrices such that A is similar to B and C is similar to D, then AC is similar to BD.

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