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IndisputableMonolith.Gravity.SevenGaps.Gap5ReparamAttackOnConstraintSector

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Module for Gap 5's reparametrization attack on the gravity constraint sector: any cost that obeys the Recognition Composition Law is forced to unit weight, so power and oscillatory reparams cannot evade the canonical J-cost. Gravity workers cite it when closing free chart/weight freedom before extracting chart-invariant ratios. The argument routes J through the repo cosh-addition identity and then runs generic unit-weight forcing on the composition law.

claimThe canonical cost $J(x)=(x+x^{-1})/2-1$ satisfies the Recognition Composition Law $J(xy)+J(x/y)=2J(x)J(y)+2J(x)+2J(y)$. Any cost obeying that law is forced to unit weight. In particular the power family $C_n$ and oscillatory family $C_{\mathrm{osc}}$ either fail the law or collapse to the same unit-weight $J$, so they cannot reparametrize away the constraint-sector kinetic normalization.

background

Gap 5 sits in the SevenGaps gravity campaign. Upstream, HKTKineticFromRecognitionCost (Pillar 1 work item 1) halves a disclosed constraint premise: the normalized kinetic momentum relation is of the form $S.hp,a,b,p=(2,c_{\mathrm{Kin}}),p$ with $c_{\mathrm{Kin}}\neq 0$ constant, and kill theorems there show rigidity fails if that premise is dropped. The remaining freedom is chart weight and reparametrization of the cost that feeds the kinetic term.

Recognition Science fixes the cost by the composition law (RCL), the functional equation whose unique nonnegative solution on $\mathbb{R}_{>0}$ is $J(x)=\cosh(\log x)-1$ (forcing chain T5). This module stays on the FunctionalEquation import path: it proves $J$ satisfies RCL via the repo's cosh-addition identity rather than importing full cost-uniqueness.

Sibling objects introduce candidate reparams: power costs $C_n$ and oscillatory costs. The attack is to show that RCL plus mild positivity forces unit weight, so those families cannot supply a genuine alternative normalization inside the constraint sector.

proof idea

Structure is lemma stack, not a single theorem. First, $J$ is shown to satisfy RCL by routing through the cosh-addition identity (keeps imports off CostUniqueness). Next, a generic lemma: any cost satisfying the composition law is forced to unit weight; the $J$ case is recorded as an instance. Power costs are defined, checked at $n=1$, shown to satisfy RCL when they do, and compared to $J$ (e.g. the $n=2$ power cost is not $J$). Positivity of $J$ on $(1,\infty)$ feeds the forcing. Oscillatory costs get the same RCL check. Net: every RCL-satisfying reparam collapses to unit weight, blocking escape from the canonical kinetic normalization.

why it matters in Recognition Science

The module is the reparametrization half of Gap 5's attack on residual freedom in the constraint sector. Downstream, Gap5O6ChartInvariant (Campaign 2 Track C) asks for the first parameter-free number the sector can produce: upstream already gives $c_{\mathrm{Kin}}=2\lambda^2>0$ with chart constant $\lambda$ free, and $2\lambda^2$ absorbs $\lambda$. O6 asks whether the ratio of kinetic to gradient coefficient in ADM form is chart-independent. That ratio is only meaningful once reparams that preserve RCL cannot change the weight; this module supplies that lock. In the broader framework it is local enforcement of T5 J-uniqueness and RCL inside gravity, before chart-invariant numerics.

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