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module module moderate

IndisputableMonolith.Constants.LambdaRecDerivation

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The LambdaRecDerivation module derives the recursive lambda constant from normalized bit costs of recognition events and balance residuals. It introduces lambda_0 as the positive root of the balance equation and establishes lambda_rec as the unique self-consistent extension. Researchers working on RS-native constants cite it to close the loop between J-cost normalization and the phi-ladder fixed point.

claimThe module defines $J_{bit}$ as the normalized bit cost of one recognition event, constructs the balance residual equation, and sets $lambda_0$ as its unique positive root together with the recursive extension $lambda_{rec}$ satisfying the root condition.

background

The module sits inside the Constants domain and imports the parent Constants module whose fundamental object is the RS time quantum $tau_0 = 1$ tick. It introduces the normalized bit cost $J_{bit}$ of a single recognition event, the totalCost and balanceResidual functions, and the auxiliary objects $K$ and $lambda_0$ that enforce balance at the base rung of the phi-ladder.

proof idea

This is a definition module, no proofs. It consists of direct definitions for $lambda_0$, $K$, $lambda_{rec}$ together with lemmas that state the root property and uniqueness of the positive solution.

why it matters in Recognition Science

The module supplies the lambda_rec derivation required for consistent evaluation of higher constants in the Recognition Science framework, including the alpha band and mass-ladder formulas. It connects the J-cost normalization directly to the self-similar fixed point that appears in the eight-tick octave construction.

scope and limits

depends on (1)

Lean names referenced from this declaration's body.

declarations in this module (26)