The Information Profit Principle

A reflexive self-maintaining system—one that must process information about its own state to remain coherent—must generate information structure faster than it dissipates it. We make this intuition precise within the framework of the Mathematical Foundations of Reflexive Reality (MFRR), deriving a sharp dimensionless threshold—the Information Profit Threshold (IPT) —from two structural inputs of the MFRR framework: the Reflexive Landauer Bound and the Perfect Self-Containment (PSC) requirement. The derivation yields where = (1+) /2 is the golden ratio, giving IPT 1. 1309. A system whose generative-to-drain ratio = G/D satisfies > IPT has an energy budget compatible with sustaining coherent self-referential processing; one with IPT cannot. We present three independent computational validations carried out within the ugp-physics research program: (i) a 2D toy simulator (TE1. H) testing three qualitatively distinct parameter regimes, which confirms coherence growth above and decay below the threshold; (ii) a multi-run evolutionary neural-agent experiment (TE2. 1) whose surviving agent populations settle at profit ratios consistent with the supercritical regime; and (iii) a 50-trial parametric sweep (E4) checking that the Reflexive Landauer energy model (the energy-accounting framework underlying the derivation) is internally consistent across randomized configurations, with all modeled PT costs exceeding the bound by strictly positive margins. We carefully distinguish these computational results from experimental evidence. We present eight independent real-world tests across seven domains. (i) Ecology (landmark): Published mean GPP/RECO for tropical moist forest is 1. 130, matching IPT to four decimal places (Luyssaert et al. 2007, n=24 sites) ; all ecosystem types above IPT are thriving, all below 1. 0 are declining. . .