## Section 4.5 Applications of Fourier series

¶### Subsection 4.5.1 Periodically forced oscillation

Let us return to the forced oscillations. Consider a mass-spring system as before, where we have a mass \(m\) on a spring with spring constant \(k\text{,}\) with damping \(c\text{,}\) and a force \(F(t)\) applied to the mass. Suppose the forcing function \(F(t)\) is \(2L\)-periodic for some \(L > 0\text{.}\) We saw this problem in Chapter 2 with \(F(t) = F_0 \cos (\omega t)\text{.}\) The equation that governs this particular setup is

The general solution of (4.9) consists of the complementary solution \(x_c\text{,}\) which solves the associated homogeneous equation \(mx'' + cx' + kx = 0\text{,}\) and a particular solution of (4.9) we call \(x_p\text{.}\) For \(c > 0\text{,}\) the complementary solution \(x_c\) will decay as time goes by. Therefore, we are mostly interested in a particular solution \(x_p\) that does not decay and is periodic with the same period as \(F(t)\text{.}\) We call this particular solution the *steady periodic solution* and we write it as \(x_{sp}\) as before. What is new in this section is that we consider an arbitrary forcing function \(F(t)\) instead of a simple cosine.

For simplicity, suppose \(c=0\text{.}\) The problem with \(c > 0\) is very similar. The equation

has the general solution

where \(\omega_0 = \sqrt{\frac{k}{m}}\text{.}\) Any solution to \(mx''(t) + kx(t) = F(t)\) is of the form \(A \cos (\omega_0 t) + B \sin (\omega_0 t) + x_{sp}\text{.}\) The steady periodic solution \(x_{sp}\) has the same period as \(F(t)\text{.}\)

In the spirit of the last section and the idea of undetermined coefficients we first write

Then we write a proposed steady periodic solution \(x\) as

where \(a_n\) and \(b_n\) are unknowns. We plug \(x\) into the differential equation and solve for \(a_n\) and \(b_n\) in terms of \(c_n\) and \(d_n\text{.}\) This process is perhaps best understood by example.

###### Example 4.5.1.

Suppose that \(k=2\text{,}\) and \(m=1\text{.}\) The units are again the mks units (meters-kilograms-seconds). There is a jetpack strapped to the mass, which fires with a force of 1 newton for 1 second and then is off for 1 second, and so on. We want to find the steady periodic solution.

The equation is, therefore,

where \(F(t)\) is the step function

extended periodically. We write

We compute

So

We want to try

Once we plug \(x\) into the differential equation \(x''+2x = F(t)\text{,}\) it is clear that \(a_n = 0\) for \(n \geq 1\) as there are no corresponding terms in the series for \(F(t)\text{.}\) Similarly \(b_n = 0\) for \(n\) even. Hence we try

We plug into the differential equation and obtain

So \(a_0 = \frac{1}{2}\text{,}\) \(b_n = 0\) for even \(n\text{,}\) and for odd \(n\) we get

The steady periodic solution has the Fourier series

We know this is the steady periodic solution as it contains no terms of the complementary solution and it is periodic with the same period as \(F(t)\) itself. See Figure 4.14 for the plot of this solution.

### Subsection 4.5.2 Resonance

Just as when the forcing function was a simple cosine, we may encounter resonance. Assume \(c=0\) and let us discuss only pure resonance. Let \(F(t)\) be \(2L\)-periodic and consider

When we expand \(F(t)\) and find that some of its terms coincide with the complementary solution to \(mx''+kx=0\text{,}\) we cannot use those terms in the guess. Just like before, they disappear when we plug them into the left-hand side and we get a contradictory equation (such as \(0=1\)). That is, suppose

where \(\omega_0 = \frac{N \pi}{L}\) for some positive integer \(N\text{.}\) We have to modify our guess and try

In other words, we multiply the offending term by \(t\text{.}\) From then on, we proceed as before.

Of course, the solution is not a Fourier series (it is not even periodic) since it contains these terms multiplied by \(t\text{.}\) Further, the terms \(t \left( a_N \cos \left( \frac{N \pi}{L} t \right) +
b_N \sin \left( \frac{N \pi}{L} t \right) \right)\) eventually dominate and lead to wild oscillations. As before, this behavior is called *pure resonance* or just *resonance*.

Note that there now may be infinitely many resonance frequencies to hit. That is, as we change the frequency of \(F\) (we change \(L\)), different terms from the Fourier series of \(F\) may interfere with the complementary solution and cause resonance. However, we should note that since everything is an approximation and in particular \(c\) is never actually zero but something very close to zero, only the first few resonance frequencies matter in real life.

###### Example 4.5.2.

We want to solve the equation

where

extended periodically. We note that

As \(\sqrt{\frac{k}{m}} = \sqrt{\frac{18\pi^2}{2}} = 3\pi\text{,}\) the solution to (4.10) is

for some particular solution \(x_p\text{.}\)

If we just try an \(x_p\) given as a Fourier series with \(\sin (n\pi t)\) as usual, the complementary equation, \(2x''+18\pi^2x=0\text{,}\) eats our \(3^\text{rd}\) harmonic. That is, the term with \(\sin(3 \pi t)\) is already in in our complementary solution. Therefore, we pull that term out and multiply it by \(t\text{.}\) We also add a cosine term to get everything right. That is, we try

Let us compute the second derivative.

We now plug into the left-hand side of the differential equation.

We simplify,

This series has to equal to the series for \(F(t)\text{.}\) We equate the coefficients and solve for \(a_3\) and \(b_n\text{.}\)

That is,

When \(c > 0\text{,}\) you do not have to worry about pure resonance. That is, there are never any conflicts and you do not need to multiply any terms by \(t\text{.}\) There is a corresponding concept of practical resonance and it is very similar to the ideas we already explored in Chapter 2. Basically what happens in practical resonance is that one of the coefficients in the series for \(x_{sp}\) can get very big. Let us not go into details here.

### Subsection 4.5.3 Exercises

###### Exercise 4.5.2.

Let \(F(t) = \frac{1}{2} + \sum_{n=1}^\infty \frac{1}{n^2} \cos (n \pi t)\text{.}\) Find the steady periodic solution to \(x'' + 2 x = F(t)\text{.}\) Express your solution as a Fourier series.

###### Exercise 4.5.3.

Let \(F(t) = \sum_{n=1}^\infty \frac{1}{n^3} \sin (n \pi t)\text{.}\) Find the steady periodic solution to \(x'' + x' + x = F(t)\text{.}\) Express your solution as a Fourier series.

###### Exercise 4.5.4.

Let \(F(t) = \sum_{n=1}^\infty \frac{1}{n^2} \cos (n \pi t)\text{.}\) Find the steady periodic solution to \(x'' + 4 x = F(t)\text{.}\) Express your solution as a Fourier series.

###### Exercise 4.5.5.

Let \(F(t) = t\) for \(-1 < t < 1\) and extended periodically. Find the steady periodic solution to \(x'' + x = F(t)\text{.}\) Express your solution as a series.

###### Exercise 4.5.6.

Let \(F(t) = t\) for \(-1 < t < 1\) and extended periodically. Find the steady periodic solution to \(x'' + \pi^2 x = F(t)\text{.}\) Express your solution as a series.

###### Exercise 4.5.101.

Let \(F(t) = \sin(2\pi t) + 0.1 \cos(10 \pi t)\text{.}\) Find the steady periodic solution to \(x'' + \sqrt{2}\, x = F(t)\text{.}\) Express your solution as a Fourier series.

\(x = \frac{1}{\sqrt{2}-4 \pi^2} \sin(2\pi t) + \frac{0.1}{\sqrt{2}-100 \pi^2} \cos(10 \pi t)\)

###### Exercise 4.5.102.

Let \(F(t) = \sum_{n=1}^\infty e^{-n} \cos(2 n t)\text{.}\) Find the steady periodic solution to \(x'' + 3 x = F(t)\text{.}\) Express your solution as a Fourier series.

\(x = \sum\limits_{n=1}^\infty \frac{e^{-n}}{3-{(2n)}^2} \cos(2n t)\)

###### Exercise 4.5.103.

Let \(F(t) = \lvert t \rvert\) for \(-1 \leq t \leq 1\) extended periodically. Find the steady periodic solution to \(x'' + \sqrt{3}\, x = F(t)\text{.}\) Express your solution as a series.

\(x = \frac{1}{2\sqrt{3}} + \sum\limits_{\substack{n=1 \\ n \text{ odd}}}^\infty \frac{-4}{n^2 \pi^2 (\sqrt{3}-n^2 \pi^2)} \cos (n \pi t)\)

###### Exercise 4.5.104.

Let \(F(t) = \lvert t \rvert\) for \(-1 \leq t \leq 1\) extended periodically. Find the steady periodic solution to \(x'' + \pi^2 x = F(t)\text{.}\) Express your solution as a series.

\(x = \frac{1}{2\sqrt{3}} - \frac{2}{\pi^3} t \sin(\pi t) + \sum\limits_{\substack{n=3 \\ n \text{ odd}}}^\infty \frac{-4}{n^2 \pi^4 (1-n^2)} \cos (n \pi t)\)