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Signals and systems
Appendix b: hilbert spaces
Function space
This module gives an example on function space.
We can also find
basis
vectors for
vector
spaces other than
n .
Let
P
n be the vector space of n-th order polynomials on (-1, 1) with
real coefficients (verify
P
2 is a
v.s. at home).
P
2 = {all quadratic polynomials}. Let
b
0
t
1 ,
b
1
t
t ,
b
2
t
t
2 .
b
0
t
b
1
t
b
2
t
span
P
2 ,
i.e. you can write any
f
t
P
2 as
f
t
α
0
b
0
t
α
1
b
1
t
α
2
b
2
t for some
α
i
.
Note
P
2 is 3 dimensional.
f
t
t
2
3
t
4
Alternate basis
b
0
t
b
1
t
b
2
t
1
t
1
2
3
t
2
1 write
f
t in terms of this new basis
d
0
t
b
0
t ,
d
1
t
b
1
t ,
d
2
t
3
2
b
2
t
1
2
b
0
t .
f
t
t
2
3
t
4
4
b
0
t
3
b
1
t
b
2
t
f
t
β
0
d
0
t
β
1
d
1
t
β
2
d
2
t
β
0
b
0
t
β
1
b
1
t
β
2
3
2
b
2
t
1
2
b
0
t
f
t
β
0
1
2
b
0
t
β
1
b
1
t
3
2
β
2
b
2
t so
β
0
1
2
4
β
1
-3
3
2
β
2
1 then we get
f
t
4.5
d
0
t
3
d
1
t
2
3
d
2
t
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n
∞
∞
ω
0
n
t is a basis for
L
2
,
T
2
ω
0 ,
f
t
n
C
n
ω
0
n
t .
We calculate the expansion coefficients with
C
n
1
T
t
0
T
f
t
ω
0
n
t
There are an infinite number of elements in
the basis set, that means
L
2
is infinite dimensional (scary!).
Infinite-dimensional spaces are hard to
visualize. We can get a handle on the intuition by recognizingthey share many of the same mathematical properties with
finite dimensional spaces. Many concepts apply to both (like"basis expansion"). Some don't (change of basis isn't a nice
matrix formula).
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Source:
OpenStax, Signals and systems. OpenStax CNX. Aug 14, 2014 Download for free at http://legacy.cnx.org/content/col10064/1.15
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