On microscopic scales, sound is air pressure fluctuating in time . Taking the Fourier transform of gives the frequency distribution , but in an eternal way, applying to the entire time interval for .
Yet on macroscopic scales, sound is described as having a frequency distribution as a function of time, i.e., a note has both a pitch and a duration. There are many formalisms for describing this (e.g., wavelets), but a well-known limitation is that the frequency of a note is only well-defined up to an uncertainty that is inversely proportional to its duration .
At the mathematical level, a given wavefunction is almost exactly analogous: macroscopically a particle seems to have a well-defined position and momentum, but microscopically there is only the wavefunction . The mapping of the analogyI am of course not the first to emphasize this analogy. For instance, while writing this post I found “Uncertainty principles in Fourier analysis” by de Bruijn (via Folland’s book), who calls the Wigner function of an audio signal the “musical score” of .a is . Wavefunctions can of course be complex, but we can restrict ourself to a real-valued wavefunction without any trouble; we are not worrying about the dynamics of wavefunctions, so you can pretend the Hamiltonian vanishes if you like.
In order to get the acoustic analog of Planck’s constant , it helps to imagine going back to a time when the pitch of a note was measured with a unit that did not have a known connection to absolute frequency, i.e., to inverse-time units. To my (very limited) understanding, by the 6th century BC it was already understood that an octave was the difference between two notes when one is vibrating twice as fast as another, but the absolute frequency (oscillations per second) of any particular note — say C♯ — was not known.If I’m wrong, I’m it’s not hard to imagine going to a time when this was true, or to imagine a person who was in this particular state of ignorance today.b Let’s arbitrarily declare to be the interval between pitches C♯ and C in the one-lined octave. Today we know that C♯ and C correspond to 277.18 and 261.63 Hz, respectively, so that corresponds to 64.31 ms , but in the distant past for humanity (or the very recent past for me), this was unknown.
If I listened very carefully, or at least if I built special equipment, I would find that the purity of a note’s pitch begins to degrade as the duration of the note approaches its inverse frequency; this would be a hint about the location of the acoustic microscopic scale . That is, I would find it harder and harder to distinguish between the notes C♯ and C as the duration of the notes approached of order 60 ms (although it might happen with even longer durations due to imperfections of my ears/equipment). To confidently establish the relationship between perceived pitch and inverse time, I would probably want to listen to sound made by objects whose frequency of vibration I could measure directly. That would be easy today, but very difficult three thousand years ago.
The analog of , then, would be the ratio . Whenever someone says “middle C is 261.63 Hz”, they are effectively setting (i.e., measuring pitch in units of inverse-time), just as physicists commonly set (measuring momentum in units of inverse-distance). But crucially, for understanding the history of science, this is not possible until you have equipment that is sensitive to the microscopic scale. Before this, you needed two separate systems of units that could not (then) be connected in a principled manner.
The quantum-acoustic analogy is not just conceptual, it is a mathematically precise correspondence, to the point that there are book-length treatments that apply almost equally well to both.See for instance “Symplectic Methods in Harmonic Analysis and in Mathematical Physics” by de Gosson and especially “Harmonic analysis in phase space” by Folland.c In particular, the Wigner function (previous posts: 1,2) for simultaneously representing the position and momentum of a particle can be used fruitfully in acoustics for simultaneously representing the duration and pitch of sounds (which is closely related to the short-time Fourier transform). And, importantly, it is true for both quantum mechanics and acoustics that the macroscopic limit () is “singular”: Just as only a few -indexed families of quantum states have a sensible classical limit, only a few -indexed families of acoustic waveforms have a sensible decomposition into notes (“music”). When this limit fails, it’s not a case of bad music, it’s a case of your speakers blowing out.
What makes quantum mechanics “mysterious” then is clearly not things like the form of the uncertainty principle per se. (There is an acoustic uncertainty principle of identical mathematical form.) Rather, it is the interpretation of the wavefunction in terms of probability amplitudes and our inability to probe it except indirectly through disturbing measurements, as opposed to acoustic waves which can be measured to arbitrary precision.Until you reach the atomic scale where the hydrodynamic approximation breaks down.d Relatedly, there is, to my understanding, no acoustic analog of a mixed quantum state.
Basic harmonic analysis of acoustics is an interesting topic in elementary physics in its own right. Maybe teaching more of it (especially in a phase-space formulation using a Wigner function) before presenting quantum mechanics would help students more easily see what’s truly unusual about quantum mechanics and what’s just an unfamiliar mathematical framework.
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- I am of course not the first to emphasize this analogy. For instance, while writing this post I found “Uncertainty principles in Fourier analysis” by de Bruijn (via Folland’s book), who calls the Wigner function of an audio signal the “musical score” of .↵
- If I’m wrong, I’m it’s not hard to imagine going to a time when this was true, or to imagine a person who was in this particular state of ignorance today.↵
- See for instance “Symplectic Methods in Harmonic Analysis and in Mathematical Physics” by de Gosson and especially “Harmonic analysis in phase space” by Folland.↵
- Until you reach the atomic scale where the hydrodynamic approximation breaks down.↵