ARTICLE AD BOX
Any solution to nan mythical problem successful mobility has remained elusive for centuries. It is deemed much difficult than proving nan Riemann Hypothesis, yet its formulation tin beryllium understood by kids successful simple school. The mobility is whether aliases not nan digits of mathematical constants specified arsenic π, behave for illustration a random sequence.
This article sets a important milestone towards a afloat resolution. It serves arsenic a blueprint, featuring nan architecture of a highly constructive yet difficult proof, based connected caller theoretical developments and concepts designed specifically to tackle nan problem, pinch success.
The extremity is to modulation from experimental to theoretical number theory. Yet, I usage illustrations pinch numbers that person much than 210000 digits, that is, larger than 2m wherever m =210000. No magnitude of computing powerfulness will ever beryllium capable to grip specified numbers. Obviously, I usage immoderate tricks here, and specified numbers make nan patterns and their complexity easier to observe pinch nan naked eye. Most importantly, these patterns tin beryllium explained pinch theoretical arguments based connected nan caller theory: nan iterated self-convolutions of infinite strings of characters and their congruence classes, akin to p-adic numbers, successful a typical topological space.
Finally, location is simply a beardown relationship to nan deepest aspects of discrete dynamical systems approaching their chaotic regime. Also, location are applicable applications to cryptography, and each computations are doubled-checked utilizing outer libraries.
Read nan afloat insubstantial shared beneath to observe nan enigma and really it is demystified. It is astir nan randomness of nan binary digits of 1 of nan astir celebrated mathematics constants. With a heavy method dive, I explicate why nan proportionality of ones is 50% (illustrated successful nan image below, featuring nan first 10000 digits arising erstwhile hitting nan rightmost vertical dashed statement conscionable earlier chaos starts).

Target audience
The worldly shared present is accessible to engineers, machine scientists, and AI practitioners, written successful a style appealing to them alternatively than for axenic mathematicians. The extremity is to promote these practitioners to usage AI to push nan limits further and get nan strongest imaginable type of this seminal result. In nan end, nan problem is arsenic overmuch astir number mentation arsenic it is astir machine science.
For nan clip being, my $1 cardinal grant to lick a related problem (see here) is temporarily withdrew until I afloat measure whether aliases not nan caller mentation leads to an easy solution.
The result, and really entree to nan paper
The insubstantial establishes, beyond immoderate doubt, nan very first deep consequence related to nan digit distribution of immoderate well-known mathematics changeless specified arsenic 𝜋, e, log 2, aliases nan quadrate guidelines of 2. The mentation applies to conscionable 1 of them. Until today, nan only established facts were trivialities, specified arsenic nan absence of periodicity successful nan digit sequence, aliases nan truth that nan first 20 trillion digits of 𝜋 walk each nan randomness tests.
I added nan insubstantial arsenic a caller section to my book connected chaotic dynamical systems, disposable here. The mentation is simply a continuation and culmination of nan worldly presented successful nan erstwhile chapters. It is besides disposable (for free) arsenic insubstantial 51, here. The fig beneath (explained successful nan paper) was nan starting constituent to initiate nan theoretical investigations.

It is my dream that nan seminal worldly presented successful this archive starts a renewed liking connected this taxable pinch nan usage of AI to beryllium moreover deeper and much diversified results. Currently, nan mathematical organization has mislaid nan will to ever lick this problem, considering it arsenic unsolvable, and bringing it to a standstill since 2012: Bailey & Borwein were nan past to make theoretical contributions – nevertheless humble – related to circumstantial mathematics constants. My insubstantial proves otherwise, mounting nan way for much heavy investigation to come, not conscionable by mathematicians but besides by operations research, AI and machine scientists.
About nan Author

Vincent Granville is simply a pioneering GenAI intelligence and instrumentality learning expert, co-founder of Data Science Central (acquired by a publically traded institution successful 2020), Chief AI Scientist at MLTechniques.com and GenAItechLab.com, erstwhile VC-funded executive, writer (Elsevier) and patent proprietor — 1 related to LLM. Vincent’s past firm acquisition includes Visa, Wells Fargo, eBay, NBC, Microsoft, and CNET. Follow Vincent connected LinkedIn.