Inner Products and Fourier Series The Inner Product
If 0 and 1 are continuous functions on the interval c+ß ,d, the standard inner product of 0 and 1 is the following quantity: Ø0 ß 1Ù œ ( 0 aBb 1aBb .B ,
+
The standard inner product of two functions is analogous to the dot product of two vectors: Ø0 ß 1Ù
v†w
is like
EXAMPLE 1 Find the inner product of the functions 0 aBb œ B and 1aBb œ B# " on the interval c!ß #d. SOLUTION
We have: Ø0 ß 1Ù œ ( 0 aBb 1aBb .B œ ( BˆB# "‰ .B œ ' #
#
!
è
!
PROPERTIES OF THE STANDARD INNER PRODUCT 1. Ø0 ß 0 Ù !, and Ø0 ß 0 Ù œ ! only if 0 is the constant zero function. 2. Ø0 ß 1Ù œ Ø1ß 0 Ù 3. Ø0 ß 1 2Ù œ Ø0 ß 1Ù Ø0 ß 2Ù 4. Ø0 ß -1Ù œ -Ø0 ß 1Ù for any scalar - .
When discussing the inner product of functions, we use much of the same terminology as we do for the dot product of vectors. For example: The norm of a function 0 is the quantity l0 l œ ÈØ0 ß 0 Ù œ Ë( 0 aBb# .B. ,
•
+
•
We refer to a function 0 as a unit vector if l0 l œ " (i.e. Ø0 ß 0 Ù œ ").
•
Two functions 0 and 1 are orthogonal if Ø0 ß 1Ù œ !.
•
Functions 0" ß á ß 08 are orthonormal if each 03 is a unit vector and each pair 03 ß 04 are orthogonal: l03 l œ "
and
Ø03 ß 04 Ù œ ! for 3 Á 4
EXAMPLE 2 Let W œ SpaneBß B# f on the interval c!ß $d. Find an orthonormal basis for W . SOLUTION
We use the Gram-Schmidt process. First, the norm of the function B is: lBl œ ÈØBß BÙ œ Ë( B# .B œ $ $
!
" Since B has length $, the function B is a unit vector. This reduces the basis to: $ " W œ Spanœ Bß B# $ " Next we find the inner product of B# with B: $ # ¤B ß
Therefore, the function B#
$ " " #( B¥ œ ( B# Œ B .B œ $ $ % !
#( " * " # Œ B œ B B is orthogonal to B. This reduces the basis % $ % $
to: " * W œ Spanœ Bß B# B $ % * Finally, we must make B# B into a unit vector. We have: % $ * * * * * $ # # Bß B# B B B œ B œ Ë( ŒB# B .B œ Ê ¾ ¾ ˤ ¥ % % % % % & ! #
* * $ % & * & % Since B# B has length Ê , the function Ê ŒB# B œ Ê Œ B# B is a unit % % & * $ % $ * vector. Therefore: " & % # $ Bß Ê $ Œ * B BŸ is an orthonormal basis for W .
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An orthonormal basis of functions works just like an orthonormal basis of vectors. In particular, recall that we can decompose any vector v using an orthonormal basis u" ß á ß u8 : v œ av † u" bu" av † u# bu# â av † u8 bu8
An analogous result holds for functions:
FOURIER DECOMPOSITION
Let Z be a vector space of functions on the interval c+ß ,d, and suppose that 0" ß á ß 08 is an orthonormal basis for Z . Then for any function 0 − Z :
0 aBb œ Ø0 ß 0" Ù 0" aBb Ø0 ß 0# Ù 0# aBb â Ø0 ß 08 Ù 08 aBb
EXAMPLE 3 Let: 0" aBb œ 1,
0# aBb œ È$ a#B "b,
and
0$ aBb œ 'È& ˆB# B "' ‰
on the interval c!ß "d. Given that e0" ß 0# ß 0$ f is an orthonormal basis for T$ , express the function 0 aBb œ B# as a linear combination of 0" ß 0# ß 0$ . SOLUTION
We have:
Ø0 ß 0" Ù œ B# ß "¡ œ ( B# .B œ "
!
" $
Ø0 ß 0# Ù œ B# ß È$ a#B "b¡ œ ( B# È$ a#B "b .B œ "
!
" È # $
Ø0 ß 0$ Ù œ B# ß 'È& ˆB# B "' ‰¡ œ ( B# 'È& ˆB# B "' ‰ .B œ "
!
" 'È &
Therefore: 0 aB b œ
" " " 0" a B b 0# a B b 0$ a B b $ #È $ 'È &
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Fourier Series
Fourier series are a special kind of Fourier decomposition on the interval c1ß 1d, using the following inner product: Ø0 ß 1Ù œ
" 1 ( 0 aBb 1aBb .B 1 1
THEOREM (ORTHONORMAL TRIG FUNCTIONS) With respect to the above inner product, the following functions are all orthonormal on the interval c1ß 1d:
1. The constant function
" , È#
2. The functions cos Bß cos #Bß cos $Bß á , and 3. The functions sin Bß sin #Bß sin $Bß á .
This theorem is really just saying something about the values of certain integrals. For example, sin $B and sin #B are orthogonal because: sin $Bß sin #B¡ œ
" 1 ( sin $B sin #B .B œ !. 1 1
Similarly, sin $B is a unit vector because: Øsin $Bß sin $BÙ œ NOTE 1. 2. 3.
" 1 # ( sin $B .B œ " 1 1
The sorts of integrals that come up here can be evaluated using the following obscure trig identities:
cosaB Cb cosaB Cb # sinaB Cb sinaB Cb cos B sin C œ # cosaB Cb cosaB Cb cos B cos C œ # sin B sin C œ
For example, Øsin $Bß sin #BÙ œ (
1
sin $B sin #B .B œ 1
" 1 ( acos B cos &Bb .B œ !, # 1
and lsin $Bl œ ÈØsin $Bß sin $BÙ œ Ë(
" 1 sin $B sin $B .B œ Ë ( a" cos 'Bb .B œ È1 # 1 1 1
EXAMPLE 4 Given that cos% B − Spane"ß cos Bß cos #Bß cos $Bß cos %Bf, express cos% B as a linear combination of ", cos B, cos #B, cos $B, and cos %B. SOLUTION
Using a calculator or computer algebra system, we have: ¢cos% Bß
" È# £
œ
" 1 cos% B $ .B œ ( È È 1 1 # % #
¢cos% Bß cos B£ œ
" 1 & ( cos B .B œ ! 1 1
¢cos% Bß cos #B£ œ
" 1 " % ( cos B cos #B .B œ 1 1 #
¢cos% Bß cos $B£ œ
" 1 % ( cos B cos $B .B œ ! 1 1
¢cos% Bß cos %B£ œ
" 1 " % ( cos B cos %B .B œ 1 1 )
Therefore: $ " " " $ " " cos% B œ Œ È Œ cos #B Œ cos %B œ cos #B cos %B # ) ) # ) % # È#
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EXAMPLE 5 On the interval c1ß 1d, it is possible to express B$ as an infinite linear combination of the functions sin 8B: B$ œ " +8 sin 8B _
8œ"
Assuming this fact, find the values of the coefficients +8 . SOLUTION
We have:
" 1 " $a8# B# #b sin 8B Ba8# B# 'b cos 8B ¢B ß sin 8B£ œ ( B$ sin 8B .B œ ” • 8% 8$ 1 1 1 1 1
$
Now, sin 81 œ ! for any integer value of 8, while cos 81 œ a"b8 . Therefore, this integral evaluates to " 1a8# 1# 'b a"b8 a1ba8# 1# 'ba"b8 a"b8 a#ba8# 1# 'b œ Œ œ 1 8$ 8$ 8$
Therefore: B œ "Œ _
$
8œ"
_ # a"b8 a#ba8# 1# 'b "# 8 #1 " sin 8B œ a " b $ sin 8B Œ $ 8 8 8 8œ"
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In the last example, it's not at all obvious that B$ can be expressed as a Fourier sine series. But assuming that it can, then we know that we've found the coefficients. It turns out that any continuous function on the interval c1ß 1d can be expressed as a Fourier series: FOURIER SERIES
Any continuous function 0 on the interval c1ß 1d can be expressed as a Fourier series: 0 aBb œ + " ,8 cos 8B " -8 sin 8B _
_
8œ"
8œ"
This series converges for all values of B in c1ß 1d.
The above theorem also holds for functions with finitely many jump discontinuities, except that the series may not converge to the correct value at the jump point. EXAMPLE 6 Let 0 aBb be the following step function: 0 aB b œ œ
!
if 1 Ÿ B !
"
if ! B Ÿ 1
Find the Fourier series for 0 aBb on the interval c1ß 1d. SOLUTION
¢0 ß
We have: " È# £
œ
" 1 0 aB b " 1 " ( È .B œ Œ È# œ È 1 1 1 # #
" 1 " 1 " sin 8B ¢0 ß cos 8B£ œ ( 0 aBb cos 8B .B œ ( cos 8B .B œ ” • œ ! 1 1 1 ! 1 8 ! 1
¢0 ß sin 8B£ œ
" 1 " 1 " cos 8B 1 “ ( 0 aBb sin 8B .B œ ( sin 8B . B œ ’ 1 1 1 ! 1 8 !
The last expression is equal to ! when 8 is even, and is
# when 8 is odd. Therefore: 81
" " # # # 0 aBb œ Œ È È Œ sin B Œ sin $B Œ sin &B â 1 # # $1 &1 œ
" # # # sin B sin $B sin &B â # 1 $1 &1
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There are other advantages to having an orthonormal basis. For example, recall that: a+" u" â +8 u8 b † a," u" â ,8 u8 b œ +" ," â +8 ,8
for any orthonormal basis u" ß á ß u8 . Similarly:
l+" u" â +8 u8 l œ È+" # â +8 #
These rules work for functions as well: EXAMPLE 7 Let:
0 aBb œ " # cos B $ cos #B & cos $B
and
Find the inner product Ø0 ß 1Ù on the interval c1ß 1d
1aBb œ # cos B $ cos #B cos $B
In terms of our orthonormal basis:
SOLUTION
" 0 aBb œ ˆÈ#‰ È
and so:
# cos B $ cos #B & cos $B # " 1aBb œ Š#È#‹ È cos B $ cos #B cos $B #
Ø0 ß 1Ù œ ˆÈ#‰ˆ#È#‰ a#ba"b a$ba$b a&ba"b œ "'
EXAMPLE 8 Compute (
1
1
è
asin #B # sin %B $ sin 'Bb# .B.
This integral is related to the norm of sin #B # sin %B $ sin 'B:
SOLUTION
(
1
1
asin #B # sin %B $ sin 'Bb# .B œ 1lsin #B # sin %B $ sin 'Bl# œ 1ˆ"# ## $# ‰ œ "%1
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