Preliminary comparison theorems: core layer #
Core comparison lemmas and measurement-agreement translations for the preliminaries chapter.
Monotonicity of ConsRel in the allowed error parameter.
prop:post-processing-preserves.
Postprocessing preserves the total operator, so it preserves both the submeasurement and measurement conditions.
prop:simeq-for-measurements.
prop:simeq-to-approx.
Heterogeneous form of prop:simeq-to-approx.
The paper's consistency relation is naturally bipartite: Alice's measurement may
act on H_A and Bob's on H_B. This theorem is the same calculation as
simeqToApprox, but expressed with the general tensor placements
IdxSubMeas.placeLeft and IdxSubMeas.placeRight on ιA × ιB.
Postprocessing can only decrease the bipartite strong self-consistency defect: the total mass is preserved while the diagonal overlap term can only increase.
Heterogeneous form of prop:simeq-data-processing.
This is the paper-faithful opposite-side statement: the two families are first
placed on opposite tensor factors of a bipartite state, and only then
postprocessed. The generic same-side qConsDefect monotonicity statement is
false for arbitrary noncommuting submeasurements.
prop:simeq-data-processing.
This is the source-labelled same-space statement. The proof is the heterogeneous opposite-side data-processing theorem specialized to equal local spaces.
Question-dependent postprocessing preserves bipartite consistency.
If a uniformly sampled consistency statement depends only on the first coordinate of a product question, it lifts to the full product with the same error.
Reindexing a uniformly sampled consistency statement along an equivalence.
qSDDOp is symmetric: swapping the two operator families gives the same
squared-distance sum.
Loewner-order monotonicity of the matrix sandwich Zᴴ * X * Z.
If X ≤ Y then Zᴴ * X * Z ≤ Zᴴ * Y * Z.