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Can π generate itself? - Printable Version +- MKLab (https://mklab.gr) +-- Forum: [INDEX] (https://mklab.gr/forumdisplay.php?fid=1) +--- Forum: MATHEMATICS (https://mklab.gr/forumdisplay.php?fid=3) +---- Forum: ARTICLES (https://mklab.gr/forumdisplay.php?fid=13) +----- Forum: EXPOSITION (https://mklab.gr/forumdisplay.php?fid=156) +----- Thread: Can π generate itself? (/showthread.php?tid=1689) |
Can π generate itself? - mklabgr - 08-17-2026 Can π generate itself? Summary The paper “Can $\pi$ Generate Itself? A Monte Carlo Analysis of 314 Trillion Digits” by Alessandro Razeto and Nicola Rossi investigates a fascinating self-referential question: can the decimal digits of $\pi$ themselves be treated as pseudorandom data and used to estimate $\pi$? Using the record dataset of 314 trillion digits of $\pi$ computed by the end of 2025, the authors convert sequences of these digits into numerical samples and apply the standard Monte Carlo method for estimating the area of a circle. Their statistical analysis finds that the available digits display a remarkably high degree of randomness, providing empirical support for random-like behavior beyond simple tests of digit frequencies, while emphasizing that true independence cannot hold because $\pi$ is a deterministic number. After optimizing how the digits are mapped into Monte Carlo points, the experiment successfully reconstructs $\pi$ to approximately $\pi \approx 3.141593$. The result does not prove that $\pi$ is normal or that its digits are genuinely random; rather, it provides an unusually large-scale empirical demonstration that the known digits behave sufficiently like random numbers for $\pi$ to be used, in a playful sense, to numerically “generate itself.” (arxiv.org) Read the paper on arXiv |