1 Convergence of a Fourier series
We have now shown how to obtain a Fourier series for periodic functions. We have suggested that we would expect to be able to approximate such functions by using a few terms of the Fourier series.
The detailed question of the convergence or otherwise of Fourier series has not been discussed. The reason for this is that the great majority of functions likely to be encountered in practice have Fourier series that do indeed converge and can therefore be safely used as approximations.
The precise conditions that have to be fulfilled for a Fourier series to converge are known as Dirichlet conditions after the French mathematician who investigated the matter. The three conditions are listed in the following Key Point.
Key Point 6
The Dirichlet conditions for the convergence of a Fourier series of a periodic function are:
- must have only a finite number of finite discontinuities, within one period
- must have a finite number of maxima and minima over one period
- the integral must be finite.
It follows, for example, that if is defined over as one of the following functions or or and , then can indeed be represented as a Fourier series as each function satisfies the Dirichlet conditions.
On the other hand, if, over , is or or then cannot be expanded in a Fourier series because each of these functions has an infinite discontinuity within .
If the Dirichlet conditions are satisfied at a point where is continuous then, as we would expect, the Fourier series at given by
At a point, say , at which has a discontinuity then the series
where is the limit of as approaches from the left and is the limit as approaches from the right (Figure 19).
Figure 19
Key Point 7
If Dirichlet conditions are satisfied then at a point of continuity
whereas at a point of discontinuity the Fourier series converges to the average of the two limiting values
Example 2
Suppose we consider the square wave
Figure 20
Here has finite discontinuities at and . The Fourier series of is (see Section 23.3, subsection 2)
At , for example, where is continuous the square wave converges to On the other hand at the Fourier series clearly has the value (since all the sine terms are zero here). This value agrees with the average of the two limiting values of at : . If we actually put in the Fourier series we obtain
Since the series converges, as we have seen, to , we obtain the interesting result
Task!
The function
has Fourier series (see Exercise 4 at the end of Section 23.2)
By using a suitable value of show that
First decide on the appropriate value of to use:
Looking at the Fourier series, the numerical series we seek is present in the cosine terms so we need to remove the sine terms. This we can do by selecting or . The choice will make the cosine terms become:
which is not what we seek. Hence we put .
Now put in the series and decide what the Fourier series will converge to at this value. Hence complete the question:
At the Fourier series is
At the Fourier series will converge to
(the average of the left and right hand limits)
So
Note that in the last Task if we substitute in the Fourier series (which converges to ) we obtain another infinite series but with alternating signs:
or
Exercises
-
Obtain the Fourier series of
By putting show that
-
-
Obtain the Fourier series of the
periodic function
and use it to obtain the following identities:
- Show that
-
Obtain the Fourier series of the
periodic function
-
Obtain the Fourier series of the
periodic function
Use the series to show that
-
- (i) Put (ii) Put
- Add the two series from (a).