Mathematical Methods for Physics and Engineering : A Comprehensive Guide

(Darren Dugan) #1

FOURIER SERIES


apply forr= 0 as well asr>0. The relations (12.5) and (12.6) may be derived


as follows.


Suppose the Fourier series expansion off(x) can be written as in (12.4),

f(x)=

a 0
2

+

∑∞

r=1

[
arcos

(
2 πrx
L

)
+brsin

(
2 πrx
L

)]
.

Then, multiplying by cos(2πpx/L), integrating over one full period inxand


changing the order of the summation and integration, we get


∫x 0 +L

x 0

f(x)cos

(
2 πpx
L

)
dx=

a 0
2

∫x 0 +L

x 0

cos

(
2 πpx
L

)
dx

+

∑∞

r=1

ar

∫x 0 +L

x 0

cos

(
2 πrx
L

)
cos

(
2 πpx
L

)
dx

+

∑∞

r=1

br

∫x 0 +L

x 0

sin

(
2 πrx
L

)
cos

(
2 πpx
L

)
dx.

(12.7)

We can now find the Fourier coefficients by considering (12.7) asptakes different


values. Using the orthogonality conditions (12.1)–(12.3) of the previous section,


we find that whenp= 0 (12.7) becomes


∫x 0 +L

x 0

f(x)dx=

a 0
2

L.

Whenp= 0 the only non-vanishing term on the RHS of (12.7) occurs when


r=p,andso


∫x 0 +L

x 0

f(x)cos

(
2 πrx
L

)
dx=

ar
2

L.

The other Fourier coefficientsbrmay be found by repeating the above process


but multiplying by sin(2πpx/L) instead of cos(2πpx/L) (see exercise 12.2).


Express the square-wave function illustrated in figure 12.2 as a Fourier series.

Physically this might represent the input to an electrical circuit that switches between a
high and a low state with time periodT. The square wave may be represented by


f(t)=

{


−1for−^12 T≤t< 0 ,
+1 for 0≤t<^12 T.

In deriving the Fourier coefficients, we note firstly that the function is an odd function
and so the series will contain only sine terms (this simplification is discussed further in the

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