Deck 10: Inner Product Spaces
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Deck 10: Inner Product Spaces
1
Evaluate the given inner product on
for
.



.

48
2
Evaluate the given inner product on
for
.
.


.

.
30
3
Evaluate the given inner product on
for
.



.

1
4
Evaluate the given inner product on
for
.



.

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5
Evaluate
, where the inner product on
is
for
.

, where the inner product on



.
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6
Evaluate
, where the inner product on
is
.

, where the inner product on


.
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7
Determine
, where
and
.

, where


.
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8
Determine
, where
and
.

, where


.
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9
Determine
, where
and
.

, where


.
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10
Determine all values of a such that in
the vectors
and
are orthogonal with respect to the inner product
.




.
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11
If
is an inner product on a vector space V, and v is any vector in V, then
defined by
is a linear transformation.



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12
If
is an inner product on a vector space V, and
is an invertible linear transformation, then
is also an inner product on V.



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13
If u, v are vectors in an inner product space V, then u is orthogonal to v if and only if
.

.
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14
The following is an inner product on
:


:

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15
If
and
are both inner products on a vector space V, then
is also an inner product on V.



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16
Let
,
, and let the inner product on
be given by
.
Use the fact that
is an orthogonal basis for S to find
.

,

, and let the inner product on


.
Use the fact that


.
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17
Let
,
, and let the inner product on
be given by
.
Use the fact that
is an orthonormal basis for S to find
.

,

, and let the inner product on


.
Use the fact that


.
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18
Find
, where
, where
and the inner product on
is
.

, where

, where

and the inner product on


.
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19
Use the Gram-Schmidt process to convert the set
to an orthonormal basis with respect to the inner product
.


.
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20
Use the Gram-Schmidt process to convert the set
to an orthonormal basis with respect to the inner product
.


.
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21
Use the Gram-Schmidt process to convert the set
to an orthonormal basis with respect to the inner product
.


.
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22
Use the Gram-Schmidt process to convert the set
to an orthonormal basis with respect to the inner product
.


.
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23
Let
be a subspace of
. Let
. Find
with respect to the inner product
.


. Let

. Find


.
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24
Determine the values of a (if any) that will make the given set of vectors orthogonal in
with respect to the inner product
.



.

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25
Determine the values of a (if any) that will make the given set of vectors orthogonal in
with respect to the inner product
.



.

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26
If
is an orthonormal set in an inner product space V, then
is linearly independent.


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27
If
is a linear dependent set of nonzero vectors in a vector space V, and
is any inner product on V, then there exists
such that
.




.
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28
If
and
are nonzero subspaces of an inner product space V, and v is any vector in V, then
.



.
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29
If V is a finite-dimensional inner product space, S is a nonzero subspace of V and
is nonzero, then for every
in V,
.



.
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30
If
is an orthonormal set in an inner product space V, and
is a
orthogonal matrix, then
is also an orthonormal set in V.




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31
Find the weighted least squares line for the data set
, with the inner three points weighted three times as much as the outer two points.

, with the inner three points weighted three times as much as the outer two points.
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32
Find the weighted least squares line for the data set
, with the inner three points weighted four times as much as the outer two points.

, with the inner three points weighted four times as much as the outer two points.
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33
Find the weighted least squares line for the data set
, with the inner point weighted t times as much as the outer two points.

, with the inner point weighted t times as much as the outer two points.
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34
Find the Fourier approximation
for
.


.
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35
Find the Fourier approximation
for
.


.
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36
Find the Fourier approximation
for the odd function
.


.
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37
Find the discrete Fourier approximation
for
based on the table information.




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38
Find the discrete Fourier approximation
for
based on the table information. 



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39
Find the Fourier coefficients for the function
without computing any integrals.

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40
Find the Fourier coefficients for the function
without computing any integrals.

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41
In a weighted least squares regression, the average of the weights must equal 1.
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42
If f is a positive even function on
, then for every k,
and
in the Fourier approximation of f.

, then for every k,


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43
If function
on
, then the discrete Fourier coefficient
.


, then the discrete Fourier coefficient

.
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44
If f is an odd function on
, then in the Fourier approximation of f, we have
for every k.

, then in the Fourier approximation of f, we have

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45
If
is the nth-order Fourier approximation to f, and
is the nth-order Fourier approximation to g, and
are scalars, then the nth-order Fourier approximation to
is
.





.
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