Retaining the next hiding label without an alphabet-size loss #
We first transfer the paired same-party estimate to the exact ideal mirror. Coarse-graining is then applied to cross-party PVM consistency, where positivity gives a dimension-independent contraction.
Stated in a bipartite model (Phase 4 of planning/mipco-track.md): an exact mirror is the vector
identity π (πA P) ψ = π (πB R) ψ of ConditionalNormalizerMirror.lean, coarse-graining is
fibSumIn, and the measurements are families and POVMs in the players' algebras. In the honest
step the players' algebras are the matrices over ι → F with entries in two algebras 𝒜 and ℬ
--- the register model Ξ.reg (ι → F) is one such model, and supplies the two mirrors by
BipartiteModel.reg_mirror --- and an honest register operator P, a complex matrix, acts as
smulKron 1 P for either player (conditionalIdeal_smulKron_one).
Coarse-graining commutes with the embedding P ↦ 1 ⊗ P of register operators.
The conditional ideal of embedded register families is the embedded conditional ideal.
Exact mirror transfer followed by cross-party coarse consistency loses no constant. No same-party coarse-distance contraction is used.
The full ideal replacement remains valid after retaining any desired part of the paired conditional outcome, using primitive ideal mirrors.
The same retention map acts correctly on the entire parsed alphabet, including every malformed answer constructor.
Retaining the next label of the paired measurement is the next coarse measurement, for a POVM
in any ordered ⋆-ring.
The actual next hiding measurement is close to the next honest fine family. The paired bound is the normalizer estimate; the only state-specific inputs here are exact mirrors of the primitive ideal families.