That got me wondering if it’s generally true for any number of dimensions.
That got me wondering if it’s generally true for any number of dimensions.
In 3D, volume converges with more perimeter points, but surface area does not.
This line of thinking leads to sampling theory. Given a noisy analog signal, digitizing it at higher and higher resolution and sample rate can yield an arbitrarily large number of data points, as you track the noise. But the area of the envelope around the waveform converges.
StandUpMaths did a great video on this recently, asking whether national land area includes elevation and which nations would gain/lose the most land area if it were/weren't: https://www.youtube.com/watch?v=PtKhbbcc1Rc
The coastline paradox and MAU effectively seem to be of the same class, i.e., change the rules for your measurement and you get different results. This hadn't occurred to me before. I wonder if there's other similar?