5—Fourier Series 121
Now all you have to do is to evaluate the integral on the left.
∫L
0
dxsin
(mπx
L
)
1 =
L
mπ
[
−cos
mπx
L
]L
0
=
L
mπ
[
1 −(−1)m
]
This is zero for evenm, and when you equate it to ( 6 ) you get
am=
4
mπ
formodd
Relabel the indices so that the sum shows only odd integers and the Fourier series is
4
π
∑∞
k=0
1
2 k+ 1
sin
(2k+ 1)πx
L
= 1, (0< x < L) (7)
highest harmonic: 5 highest harmonic: 19 highest harmonic: 99
The graphs show the sum of the series up to 2 k+ 1 = 5, 19 , 99 respectively. It is not a very rapidly
converging series, but it’s a start. You can see from the graphs that near the end of the interval, where the
function is discontinuous, the series has a hard time handling the jump. The resulting overshoot is called the
Gibbs phenomenon. See section5.6.
There is a compact and powerful notation that makes this look much simpler. Further exploit the analogy
with the dot product in three dimensions. In that case I can evaluate a component of the given vector by using
the scalar product:
ˆx.A~=ˆx.
(
Axˆx+Ayyˆ+Azˆz
)
=Ax. OR
〈
x,ˆA~
〉
=Ax
The last, with the angle brackets, is an alternate notation for the scalar product.
The orthogonality integral for the sines is another scalar product written in the same compact notation:
〈
f,g
〉
=
∫L
0
dxf(x)*g(x) (8)