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IndisputableMonolith.Holography.SeamTransferCore

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Linear-algebraic core for holographic seam transfer: real eigenvalues of a monodromy, a characteristic anomaly on 2×2 maps, and its identification with the Recognition cost J. Anyone pricing the delivered leg of a seam crossing or discharging B2 uniqueness cites this package. The module is mostly definitions plus elementary matrix identities (trace/det, hyperbolic witness, balanced conjugates).

claimFor a linear map $W$ on the fiber, the predicate that $W$ has real eigenvalue $x$ means some nonzero vector scales by $x$ under one closure (the delivered leg of the seam, with mismatch ratio $x$). The module defines the characteristic anomaly of a $2\times 2$ transfer, proves it equals the cost $J(x)=(x+x^{-1})/2-1$, and supplies a hyperbolic witness matrix with balanced conjugate eigenvalues and controlled determinant.

background

Recognition Science prices closed recognition cycles by the unique cost $J$ forced at T5: $J(x)=(x+x^{-1})/2-1$. Upstream TurnRatioCarrier fixes the B2 reading on the real turn ratio: the per-cycle cost is $C(T)=J(\kappa T/2\pi)$. The seam splits that story into a delivered leg and a required leg; mismatch is a pure scaling ratio.

This module sits in the holography layer and treats the monodromy (or transfer) $W$ as a linear map on the fiber. Having a real eigenvalue $x$ is definitional for the delivered leg: one nonzero vector scales by $x$ under a single closure, with no assumption on the other leg. Companion notions track the characteristic anomaly of a $2\times 2$ transfer, balanced trace/conjugate structure, diagonalizability under balance, and elementary rotation and hyperbolic witnesses.

proof idea

Definition-and-identity module, not a single deep theorem. It introduces the real-eigenvalue predicate, the characteristic anomaly (via det of a shifted map), and a hyperbolic witness matrix. Supporting lemmas are standard $2\times 2$ linear algebra: characteristic polynomial evaluations, trace and determinant identities for balanced conjugates, eigenvalue extraction for the witness, and the key equality that the characteristic anomaly coincides with $J$. Rotation and diagonal-balance equivalences close the local toolkit.

why it matters in Recognition Science

Downstream SeamLedgerDischarge imports this core to type the R1–R4 residue of ConservingSeamPricing in ledger language and to keep B2 (the deficit-free period $\beta=2\pi/\kappa$ is the unique zero of per-cycle seam cost) under a strict weakening of the fourth conjunct. Without a clean delivered-leg eigenvalue and the anomaly$\leftrightarrow J$ bridge, the seam cost cannot be pushed below the anomaly reading while staying honest to the panel’s B2 plan. The module therefore anchors the holographic half of the eight-tick pricing story (T7 octave, T5 $J$) before ledger discharge.

scope and limits

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declarations in this module (35)