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addClaim

The Information Profit Principle

Authors: Spivack, Nova;

The Information Profit Principle

Abstract

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.

Keywords

preprint, Lean 4, UGP Physics, formal verification, Universal Generative Principle

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
Green