Some thoughts about prime factorization stuff and non-linear regression/progression, or whatever I would call that stuff.
(Sorry for the incoming word salad gibberish.)
A basic idea about encryption and decryption - and what makes them different in their kind/degree of difficulty (this also relates to entropy and why disorder rather increases than decreases in complex systems) [I might create a plain infographic or short article for that one later...]
[^ignore the random scribbles of numbers at the bottom of that page]
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The following stuff/photos depicts/expresses re-distribution of information, so to speak/per this interpretation.
It's mostly statistical inference.
It tries to depict/express non-linear causal networks - or merely, some symmetries in the motion/dynamics of chaotic systems.
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It relates to stuff I made earlier that year (march):
I drew a 3D plot of a fourier transform - Fraunhofer diffraction.
^Imagine the z axis as the time axis: it depicts how it alters itself in course of time. (That's basically what a transform is, if we "translate it" into our imagination and basic language.)
And somehow, I indulged in another conception of that plot. The height of each thingy depicted above, is now the radius of each circle in the depiction below:
