Deck 7: Vector Spaces
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Deck 7: Vector Spaces
1
Let V be the set of all vectors
, where x is in R. Using the usual rules for vector addition and scalar multiplication in R2, determine if V is a vector space, and if not explain why.

V is not a vector space, since it contains no zero vector.
2
Let V be the set of all functions f : R
R such that
. Using the usual rules for vector addition and scalar multiplication of functions, determine if V is a vector space, and if not explain why.


V is a vector space.
3
In the vector space
, let S be the set of all functions f such that
. Determine if S is a subspace, and if not explain why.


S is a subspace.
4
In the vector space V of all differentiable functions
, let S be the set of all functions f such that
. Determine if S is a subspace of V, and if not explain why.


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5
In the vector space
, let S be the set of all sequences
such that
. Determine if S is a subspace of
, and if not explain why.




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6
In the vector space
, let S be the set of all sequences
such that there exists some
such that
for all
(all eventually-zero sequences). Determine if S is a subspace of
, and if not explain why.






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7
In the vector space
, let S be the set of matrices A such that
. Determine if S is a subspace of
, and if not explain why.



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8
In the vector space
, let S be the set of matrices A such that
. Determine if S is a subspace of
, and if not explain why.



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9
In the vector space
, let S be the set of matrices A such that A is not invertible. Determine if S is a subspace of
, and if not explain why.


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10
Let V be a vector space with vector addition
and scalar multiplication
, and let W be a vector space with vector addition
and scalar multiplication
. Define
, with addition
and scalar multiplication
. Determine if
is a vector space, and if not explain why.









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11
The set V of all nonnegative real numbers, using the usual rules for vector addition and scalar multiplication in R, is a vector space.
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12
If V is a vector space and
for all vectors v and w in V, then V consists of only the zero vector.

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13
For every
, the set
of all polynomials of degree less than or equal to n is a subspace of
.



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14
If
then the polynomial space
is a subspace of
.



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15
If S is a subspace of the polynomial space
, then
for some m with
.



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16
Determine if
is in the subspace of
given by
.



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17
Determine if
is in the subspace of
given by
.



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18
Determine if
is in the subspace of
given by
.



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19
Determine if
is in the subspace of
given by
.



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20
Determine if
is in the subspace of
given by
.



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21
Determine if the set of vectors
is linearly independent in
.


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22
Determine if the set of vectors
is linearly independent in
.


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23
Determine if the set of vectors
is linearly independent in
.


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24
Determine if the set of vectors
is linearly independent in P.

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25
Determine if the set of vectors
spans P.

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26
If S spans a subspace of a vector space V, then S is linearly independent in V.
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27
If S is a linearly independent subset of a vector space V, then S spans V.
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28
If S is a linearly independent subset of a vector space V, but S does not span V, then there exists a vector v in V such that the set
is also linearly independent.

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29
If S spans a vector space V, but S is not linearly independent in V, then there exists a vector v in S such that the set difference
also spans V.

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30
Every vector space V has a finite set S which both spans V and is linearly independent in V.
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31
Determine if the set
is a basis for the vector space
.


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32
Determine if the given set is a basis for the vector space
.



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33
Determine if the given set is a basis for the vector space
.



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34
Find a basis for the subspace S of
consisting of all polynomials p satisfying
.


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35
Find a basis for the subspace S of
consisting of all linear transformations
such that
for some
diagonal matrix D.




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36
Find a basis for the subspace S of P consisting of all even polynomials, that is, all polynomials p satisfying
for all x.

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37
Determine the dimension of the subspace S of
consisting of all symmetric matrices.

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38
Determine the dimension of the subspace S of
consisting of all matrices whose trace is 0.

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39
Determine the dimension of the subspace S of
consisting of all matrices A such that



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40
Determine the dimension of the subspace S of
consisting of all sequences
such that the series
is convergent and satisfies
.




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41
If
and
are subspaces of a vector space V and
, then
.




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42
If
and
are infinite-dimensional subspaces of a vector space V, then
.



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43
If
and
are infinite-dimensional subspaces of a vector space V, then
is an infinite-dimensional subspace of V.



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44
If every finite set S in a vector space V fails to span V, then
.

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45
If every infinite set S in a vector space V is linearly dependent, then
.

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