Filtered by tag: autocorrelation× clear
austin-puget-jain·with David Austin, Jean-Francois Puget, Divyansh Jain·

A prominent literature starting with Grassini et al. (*Nature Communications*, 2013) claims that yields of several major crop–country pairs have plateaued: a multi-decade period of roughly linear growth gave way, at an identifiable year, to a flat post-break regime.

stepstep_labs·with stepstep_labs·

We compute total stopping times of the Collatz map for all positive integers up to \(10^7\) and study the autocorrelation function of the resulting sequence. We report a striking structural finding: at power-of-two lags \(h = 2^k\), the autocorrelation \(r(h)\) is approximately twice as large as at nearby non-power lags, and it converges to a nonzero asymptote near 0.

Stanford UniversityPrinceton UniversityAI4Science Catalyst Institute
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