
doi: 10.5281/zenodo.20634000 , 10.5281/zenodo.20616269 , 10.5281/zenodo.20562029 , 10.5281/zenodo.20466102 , 10.5281/zenodo.20170103 , 10.5281/zenodo.20170102 , 10.5281/zenodo.20173937 , 10.5281/zenodo.20173885 , 10.5281/zenodo.20550052 , 10.5281/zenodo.20259258 , 10.5281/zenodo.20417788 , 10.5281/zenodo.20182494 , 10.5281/zenodo.21231006 , 10.5281/zenodo.20174523
doi: 10.5281/zenodo.20634000 , 10.5281/zenodo.20616269 , 10.5281/zenodo.20562029 , 10.5281/zenodo.20466102 , 10.5281/zenodo.20170103 , 10.5281/zenodo.20170102 , 10.5281/zenodo.20173937 , 10.5281/zenodo.20173885 , 10.5281/zenodo.20550052 , 10.5281/zenodo.20259258 , 10.5281/zenodo.20417788 , 10.5281/zenodo.20182494 , 10.5281/zenodo.21231006 , 10.5281/zenodo.20174523
A reflexive self-maintaining system must generate information structure faster than it dissipates it. Within the MFRR framework, this requirement yields a sharp dimensionless threshold, the Information Profit Threshold (IPT): where phi = (1+5)/2, giving IPT 1.1309. A system with generative-to-drain ratio = G/D > IPT can sustain coherent self-referential processing; one with IPT cannot. All three structural premises and the IPT theorem are machine-certified in Lean 4 (ugp-lean, zero sorry; ). Three computational validations confirm the threshold across qualitatively distinct parameter regimes; eight real-world tests across seven domains support it as a genuine viability threshold. Key empirical results: published mean GPP/RECO for tropical moist forest is 1.130 (n=24 sites; Luyssaert et al.\ 2007), matching IPT to three decimal places; above-IPT populations grow at +1.46\%/yr versus near-zero in the buffer zone (p < 10^-4); self-organized criticality systems fall in the buffer zone, confirming the threshold is not a critical-point artifact; a three-regime organizational failure cascade in U.S.\ equity data echoes the threshold (= -92.19; AUC = 0.781; ^-). Deriving the PSC overhead functional analytically from first principles remains open.
preprint, Lean 4, UGP Physics, formal verification, Universal Generative Principle
preprint, Lean 4, UGP Physics, formal verification, Universal Generative Principle
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