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module module moderate

IndisputableMonolith.Climate.PredictabilityFromJCost

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The module defines forecastCost as the J-cost on the uncertainty growth ratio, plus horizon predicates and the ClimatePredictabilityCert. Climate modelers or Recognition Science users would cite it to bound predictability from the J-function. It assembles definitions and basic algebraic properties drawn from the imported Cost and Constants modules.

claimLet $r$ be the uncertainty growth ratio. Define $f(r) := J(r)$ as the forecast cost. The module introduces the threshold predicate, the mutually exclusive states IsPastHorizon and IsWithinHorizon, and the certificate ClimatePredictabilityCert together with its constructor.

background

The module belongs to the climate domain of Recognition Science. It imports the fundamental time quantum τ₀ = 1 tick from Constants and the J-cost machinery from Cost. Central definitions include forecastCost applied to the uncertainty growth ratio, with lemmas establishing zero at unit ratio, reciprocal symmetry, nonnegativity, and positivity away from unity. Horizon states are shown exclusive and a predictability threshold band is identified.

proof idea

This is a definition module, no proofs.

why it matters in Recognition Science

The module supplies the J-cost forecast and certificate for climate predictability horizons. It extends the core J-uniqueness and phi fixed point to domain-specific forecasting, supporting the ClimatePredictabilityCert and the broader application of the forcing chain to uncertainty growth.

scope and limits

depends on (2)

Lean names referenced from this declaration's body.

declarations in this module (12)