Does anybody know what the connection is between Wallis' formula for ##\pi## and quantum mechanics? There was an article about it: https://www.eurekalert.org/pub_releases/2015-11/aiop-ndo110915.php
but like all articles for the lay public, all the details were left out.
I've always thought there should be a geometric proof of this, say approximating a semicircle by rectangles of some sort, but the proofs I've seen are analytic.
3blue1brown rocks. Not sure about dropping the 0 though. Didn't get all the way through.
A while back (didn't finish it yet), I started working on a zeta/log chart, with a few switching formulas between them (and I was thinking about using it as a quantization structure for some art). The Wallis Product pops up (a few thingies down):
Since, [itex]log(\frac{x}{y}) =\sum\limits_{n=1}^{\infty} \, (\frac{x-y}{x})^n \cdot \frac{1}{n}[/itex], if you set y=x-1...
From the above, from the Wallis product for pi:
[tex]\sum\limits_{n=1}^\infty \,-1^{n+1} \, \cdot \frac{\eta{(n)}}{n} \, = \, log(\frac{\pi}{2})[/tex] I kept on going, because I thought that perhaps I could make a quantized framework for some art- connections between adjacent points in space would be mapped x to zeta, y to log, z to zeta/eta depth (determined by [itex]1-2^{1-s}[/itex])... not finished, because I have to do real work too.
When we do a zeta to eta conversion, we lose log(2), and are adding different logs together to get log (pi/4):
I got to the point where subsequent zeta/eta conversions add depth, have log charts, etc. so they can be stacked. It's written on paper though... and needs to be completed. But I ended up working on something else because this computer was a gift from Keith Anderson in the fractal entertainment industry (Fractaled Visions), so I feel like I should work on fractals. A bit.