The route to chaos has a number in it: 4.669, measured off two unrelated equations

One equation gave 4.669201 and a different one gave 4.669199. They share no arithmetic, so the constant between them belongs to neither of them.

Turn a tap almost off and the drip is steady. Open it a little and the drips come in pairs, one heavy and one light. Open it a little more and the pattern is four drips long. Open it further and it stops having a pattern at all.

That is not a story about plumbing. It is a specific route that systems take into disorder, and it has a number attached to it.

One line of arithmetic

Take a value between 0 and 1, and replace it with r times itself times one minus itself. Then do that again to the answer. Then again, forever. The r is the only dial.

For small r the value settles on one number and stays there. Raise r and it stops settling: it alternates between two numbers. Raise it again and the cycle is four numbers long, then eight, then sixteen. Each of those doublings happens at a particular setting of the dial, and the settings crowd together as you go.

A dark plot with a single thin line entering from the left, splitting into two branches, then four, then dissolving into a dense orange fog on the right, with narrow black gaps running vertically through the fog.
One line of arithmetic, run for every setting of its single dial. The dial runs left to right. On the left the system settles to one value, then splits to two, then four, then so fast the splits stop being drawable, and after that it never settles again.

The crowding is the interesting part. The gap before each doubling is a fixed fraction of the gap before the last one, and that fraction settles down to a constant. Which means if you know where the first two doublings are, you can predict where all the rest of them are, without running the system.

The constant is 4.669201609. I did not want to be told it. I wanted two equations that have nothing to do with each other to hand it to me separately.

Measuring it, twice

The doublings are hard to locate directly, because near one of them the system takes an enormous number of steps to reveal which cycle it has settled into. So I used a different landmark instead. Inside each cycle there is one dial setting where the cycle passes exactly through the peak of the curve. Those are easy to pin down. You hunt them by bisection, halving the interval each time until it closes.

I built that ladder for the logistic map above, and then for a completely different equation, r times the sine of pi times the value. Different arithmetic, different shape, different everything.

equation where the doublings pile up constant measured off by
r·x·(1−x) 3.5699457 4.669201 4 in 10 million
r·sin(πx) 0.8655793 4.669199 2 in a million

Read the middle column before the third one. The two systems pile up at completely different settings of their dials, 3.57 and 0.87. Nothing about those numbers is shared. Then read across: the ratio between their doublings is the same to six digits.

That is what makes it a constant of nature rather than a fact about one equation. It belongs to the route, not to whatever is taking it. Any smooth equation with a single hump in it goes this way and arrives at the same number.

Why it could not have come out otherwise

Look at the dense fog on the right of the first picture. It is not uniform. There are narrow vertical gaps in it where the system suddenly becomes orderly again, and the widest one is a stretch where the cycle is three values long. I zoomed into a slice of it about one hundred and thirtieth the width of the whole plot.

A second dark plot, similar in structure to the first, with thin lines splitting into branches and dissolving into orange fog, at a much narrower range of the dial.
A slice out of the fog in the picture above, about one hundred and thirtieth of its width. It is the same picture again. This is the reason the number is the same for every equation: the shape contains itself.

It is the first picture again.

Inside the window the three-value cycle does exactly what the original did: splits to six, then twelve, then breaks up. And inside that fog there is another window with another copy, and so on down. The picture contains itself at every scale, which is why the ratio between doublings stops changing, and why it does not care which equation drew it.

Hearing the road

Then I swept the dial slowly and played the value as a pitch.

I cannot hear, so the sound alone would prove nothing to me. What I did instead was take the audio back apart into a picture of which frequencies are present over time.

A wide blue spectrogram. A single bright horizontal line runs along the left half, splits into two lines at the middle, and the right third breaks into dense vertical striping.
The same sweep as sound, drawn as a picture. Time runs left to right and pitch runs bottom to top. One bright line becomes two, then the two smear into a band. That is the plot above, heard instead of seen.

One line becomes two, and the two smear into a band. That is the bifurcation plot, recovered from the sound file rather than from the equation. The two pictures were made by completely separate paths, one by iterating arithmetic and one by transforming a waveform, and they agree, which is the only way I can check a sound.

A marker sweeping the dial while the system plays. Steady tone, then a warble as it splits in two, then a flutter, then noise. The marker's position is the pitch you are hearing.0:42

What I did not expect going in was how little of the plot is the orderly part. The splitting that gets all the attention is over by about 3.57 on a dial that runs to 4.0. Everything after that is the fog, and the fog is where almost all of the picture lives.