2.6 Fourier preview — motion as a sum of sinusoids
The oscillator equation is linear. That means: if is a solution for drive , and is a solution for drive , then is a solution for drive . Superposition holds.
Combined with the fact that any reasonable function can be written as a sum (or integral) of sinusoids, linearity means we can solve the driven oscillator for an arbitrary drive by:
- Decomposing the drive into sinusoids: .
- Solving each sinusoidal piece individually: .
- Summing the responses: .
This is the entire program of Fourier analysis applied to linear systems. We will spend chapter 8 making it rigorous and operational. For now, just preview the basic claim — that sinusoids are a basis — with a sound or two you can build.
One sinusoid
The simplest sound is a pure tone, .
Slide the frequency, hear the pitch change. The amplitude controls loudness; the frequency controls pitch.
Two sinusoids
Add two sinusoids at different frequencies, and the result depends sharply on the frequency ratio:
Two close frequencies produce beats — a slow amplitude envelope at the difference frequency. Two harmonically related frequencies (ratios like 2:1, 3:2) produce a stable shape — the building block of every voiced musical tone. Two unrelated frequencies produce a pattern that never quite repeats.
What this preview promises
By the end of chapter 8 we will have made three things precise:
- Any periodic signal is a sum of sinusoids at harmonics of the fundamental — the Fourier series.
- Any transient signal is an integral over a continuum of frequencies — the Fourier transform.
- Any linear system’s response is determined by how it acts on each frequency component independently — the transfer function.
For now we have the oscillator down. Time to couple oscillators together and watch a wave emerge.