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.
Bell reduced state
Example
Let with the standard inner product and orthonormal basis , (Hilbert tensor construction: inner product, completion and product bases), and let
Here a product vector means an elementary tensor with and ; is the rank-one density operator determined by the unit vector .
Then:
(a) , and the coefficient matrix of in the bases is ;
(b) the partial traces satisfy and , so both reduced states are the maximally mixed matrix ;
(c) the reduced density has eigenvalues and trace-square , while ; the Schmidt coefficients of are , and is not a product vector.
Facts & Assumptions
Given: with the standard inner product; the orthonormal basis ; the vector above; the operators on the finite-dimensional spaces.
On the pairing is ; the four elementary tensors form an orthonormal basis, each has a unique expansion with , and the basis-free conventions (linearity in the first argument, conjugate symmetry) are those of Hilbert tensor construction: inner product, completion and product bases.
For endomorphisms of there is a unique in with for all ; it is linear and positive, where is the coefficient map determined by , and is defined symmetrically; the Schmidt decomposition has orthonormal families and positive equal to the positive singular values of , with , and for the reduced density satisfies , which equals exactly when (Finite partial trace, Schmidt decomposition and finite no-signalling(a),(b),(c)).
is trace class with , and is linear (Rank-one operator calculus).
In an orthonormal basis of a finite-dimensional inner product space the matrix of is the column-times-row matrix , so ; for rank-one operators.
Verification
[Coefficient matrix and norm] By [A1], is the expansion with , and the other coefficients , so the coefficient map is the matrix in the bases (columns indexed by ), and .
[Partial traces] Computing and , [A2] gives and, by symmetry, ; both are positive with trace , as they must be for the reduction of a unit vector.
[Purity and Schmidt coefficients] The matrix has the single eigenvalue with multiplicity (in any basis its matrix is diagonal with entries ), so for ; the positive singular values of are the square roots of the eigenvalues of , namely , so the Schmidt decomposition of has terms and , in agreement with the norm formula of [A2]; since , is not a product vector. Finally because by [A4] and , so by [A3].