What is a intuitive way to understand that a transform of a square wave can result into something like this?


What is a intuitive way to understand that a transform of a square wave can result into something like this?


Is it intuitive to switch the time and frequency axes? We can do it because the Fourier transform is essentially its own inverse. So, the spectrum of a square wave looks the same way as the time profile of a signal that contains all frequencies up to $\omega$, with equal amplitude (because rectangular wave has constant modulus) and phase (because rectangular wave is a positive function).
Let's simplify further and replace continuous superposition of frequencies by discrete. So, at time $0$ we strike $n$ strings that vibrate with angular frequencies $$ \frac{1}{N}\omega,\frac{2}{N}\omega,\frac{3}{N}\omega,\dots, \frac{N-1}{N}\omega, \omega$$ The first moment is the loudest, when all strings are in phase. (This is the peak on your picture). But that quickly changes. Half of all strings have frequencies between $\omega/2$ and $\omega$. They form a packet that stays together for a while; certainly for more than half of one period $T=2\pi/\omega$. Indeed, at time $t\approx 2T/3$ most of high-frequency contributions are negative. On the graph below this happens around $0.4$.

This is why we see a negative minimum when adding these frequencies together:
After that the pattern becomes less pronounced. But the basic idea remains: the behavior of the sum is driven by its high-frequency components, simply because there are more of them (which becomes apparent if one groups the frequencies on logarithmic scale).