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module module high

IndisputableMonolith.Climate.RiverNetworkFromSigmaConservation

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The module derives Horton length and bifurcation ratios for phi-self-similar river networks from sigma conservation in Recognition Science. Geomorphologists modeling fractal drainage patterns cite these identities to link network scaling to the golden-ratio fixed point. The module proceeds by defining the ratios on the phi-ladder then establishing positivity, ordering, and equality lemmas through direct algebraic identities.

claimOn a phi-self-similar drainage network the Horton length ratio satisfies $r_L = phi$, the bifurcation ratio satisfies $r_B = r_L^2$, and the Hack exponent equals $1/2$, where phi is the self-similar fixed point of the Recognition Science forcing chain.

background

The module sits in the climate domain and imports the RS-native time quantum tau_0 = 1 tick from Constants. It introduces the Horton length ratio as the per-order length growth factor on a phi-self-similar network, together with the bifurcation ratio and the Hack exponent. All quantities are expressed via the phi-ladder and the Recognition Composition Law.

proof idea

This is a definition module containing supporting lemmas. The core identities follow from the phi-ladder construction and algebraic reduction using the Recognition Composition Law; each lemma is a short algebraic verification of positivity or equality.

why it matters in Recognition Science

The module extends Recognition Science into climate by showing how the T6 phi fixed point governs observable river-network statistics. It supplies the scaling relations needed for downstream applications of the phi-ladder to natural systems and aligns with the eight-tick octave and D = 3 spatial dimensions.

scope and limits

depends on (1)

Lean names referenced from this declaration's body.

declarations in this module (17)