Projective consistency evaluation #
The data-processing lemmas which turn polynomial-level projective consistency into pointwise
consistency after evaluation at a sampled point: the counterpart of
MIPRE/Background/LIDT/MIPStarRE/LDT/Test/MainTheorem/ProjectiveConsistency/Evaluation.lean in
the port of planning/c6b-plan.md (milestone M13, section "Port conventions").
The same-space statements consRel_constPolynomialEvaluation and
projectiveEvaluationConsistency_ofFullPolynomialConsistency take the symmetric model
S : SymModel π K in place of the vendored state on ΞΉ Γ ΞΉ, and go through Co
Preliminaries.approxToSimeq and Preliminaries.consRelDataProcessing_questionDependent.
The two _heterogeneous theorems are two-space. Their vendored state is on ΞΉA Γ ΞΉB, with
Alice's polynomial measurement on ΞΉA and Bob's on ΞΉB, and their callers are the two-space tail
of the main theorem on the strategy's own model. So they are stated over a bipartite model
M : MIPRE.BipartiteModel π π β¬, with A, Q_A in π and B, Q_B in β¬: consistency is
M2's two-space defect, bipartiteConsError M π A B β€ Ξ΄ for the vendored ConsRel Ο π A B Ξ΄,
and the hypothesis of the projective form is the state-dependent distance of the placements
TwoSpace.leftPlacedSubMeas M Q_A, TwoSpace.rightPlacedSubMeas M Q_B on the vector state
TwoSpace.vecState M hΟ (Co/Test/MainTheorem/TwoSpace.lean). This departs from the narrowing
rule of "Same-space and bipartite quantities" in the way M8's heterogeneous orthonormalizations
did (Co/MakingMeasurementsProjective/Orthonormalization.lean): narrowed to one carrier, they
would repeat their same-space siblings and serve no caller. The proofs are the vendored ones,
through TwoSpace.consRelDataProcessing_questionDependent and
TwoSpace.approxToSimeq_heterogeneous.
Not ported #
Every declaration of the vendored file has a counterpart here.
Over a symmetric model #
A constant full-polynomial consistency statement postprocesses to pointwise polynomial evaluation with the same error.
This is the data-processing move used after paper line 156: once
Q^A_g β I β I β Q^B_g is available over the single polynomial question, evaluating both
polynomial outcomes at a point u preserves consistency over the uniform point distribution.
Two-space form of consRel_constPolynomialEvaluation: the same data-processing argument
when Alice's polynomial measurement lies in the first player's algebra π of a bipartite model
M and Bob's in the second player's algebra β¬, with M2's two-space defect for the vendored
ConsRel.
Turn a line-156 projective approximation into the evaluated consistency used in the final point-consistency triangles.
The proof first applies the projective converse of prop:simeq-to-approx at the polynomial
level, then uses question-dependent data processing to evaluate both projective polynomial
measurements at each point.
Over a bipartite model #
Two-space form of projectiveEvaluationConsistency_ofFullPolynomialConsistency: for
projective polynomial measurements Q_A of π and Q_B of β¬ whose placements are at
state-dependent distance ΞΆβ on the unit state of M, the evaluated families are two-space
consistent at ΞΆβ / 2.
It first applies the two-space projective converse (TwoSpace.approxToSimeq_heterogeneous) to
the placed state-dependent-distance relation, and then evaluates the polynomial outcomes at the
sampled point.