How statement and proof provenance work
The first chip identifies the source of the statement or construction; the second identifies the source of its local proof or verification.
- Literature-sourced: the exact statement appears in a cited source; only wording and notation differ.
- AI-adapted: a semantically identical restatement of literature-sourced material, modulo indexing, notation, and boundary cases adopted by the library.
- AI-generated: a genuinely novel statement formulated by AI, with no source for the claim itself.
These labels describe origin, not correctness: citations and verification chips remain separate evidence.
Transpose positivity fails ancillary positivity
Statement refuted
Every complex-linear positive trace-preserving map between finite matrix algebras is completely positive.
Facts & Assumptions
Given: The standard ordered basis of , finite matrix transpose , and the finite channel definitions.
Finite completely positive trace-preserving maps: a positive map sends positive semidefinite inputs to positive semidefinite outputs; complete positivity additionally requires positivity of for every finite .
Finite matrix spectral and state calculus: every positive semidefinite finite matrix has a positive square root, finite Hermitian matrices have spectral decompositions, and the finite trace is cyclic.
Complete finite Choi-Kraus equivalence: with the unnormalized Choi matrix , a finite map is completely positive if and only if .
Counterexample
The transpose is complex-linear and preserves trace because it fixes the diagonal entries. For any , [F2] gives for some matrix ; hence . Thus is positive and trace-preserving.
Its Choi matrix is , the swap operator . For , one has ; therefore . By [F3], is not completely positive.