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IndisputableMonolith.Foundation.CostAxioms

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The CostAxioms module declares the core axioms that any cost functional must obey in Recognition Science. It encodes Normalization (vanishing at unity), the Composition Law, Calibration, and related properties of J. These feed directly into the T5 uniqueness theorem. The module organizes the declarative foundation without proofs.

claimAxioms for the cost functional: Normalization $J(1)=0$; Composition $J(xy)+J(x/y)=2J(x)J(y)+2J(x)+2J(y)$; Calibration and symmetry conditions on $J:\mathbb{R}_+\to\mathbb{R}$.

background

This module belongs to the Foundation domain and imports Cost, FunctionalEquation, and CostUniqueness. Normalization encodes that perfect balance (ratio = 1) has no cost. Upstream, FunctionalEquation supplies lemmas for the T5 cost uniqueness proof. CostUniqueness states: "Any cost functional F satisfying symmetry, unit normalization, strict convexity, and calibration must equal Jcost on ℝ₊." The setting is the axiomatization of J prior to deriving its explicit form from the forcing chain.

proof idea

This is a definition module, no proofs. It declares the axioms Normalization, Composition, Calibration, CostFunctionalAxioms together with J properties (symmetry, nonnegativity, zero iff unity) that are referenced by the uniqueness theorem.

why it matters in Recognition Science

The module supplies the axiomatic inputs for the T5 uniqueness theorem in CostUniqueness, which shows any qualifying functional equals Jcost. It fills the axiom slot supporting J-uniqueness (T5) in the forcing chain and the Recognition Composition Law.

scope and limits

depends on (3)

Lean names referenced from this declaration's body.

declarations in this module (19)