Alphabeta Math
ExampleConstruction: AI-generatedVerification: AI-adaptedPipeline-generated
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 V=W=C2 with the standard inner product and orthonormal basis e+=(10), e−=(01) (Hilbert tensor construction: inner product, completion and product bases), and let

Ψ:=12(e+⊗e−−e−⊗e+)∈V⊗W.

Here a product vector means an elementary tensor v⊗u with v∈V and u∈W; TΨ,Ψ is the rank-one density operator determined by the unit vector Ψ.

Then:

(a) ∥Ψ∥=1, and the coefficient matrix of Ψ in the bases (e+,e−) is C=12(01−10);

(b) the partial traces satisfy Tr⁡WTΨ,Ψ=CC∗=12IV and Tr⁡VTΨ,Ψ=C∗C=12IW, so both reduced states are the maximally mixed matrix 12I;

(c) the reduced density ρ=12I has eigenvalues 12,12 and trace-square tr⁡ρ2=12, while tr⁡(TΨ,Ψ2)=1; the Schmidt coefficients of Ψ are s1=s2=12, and Ψ is not a product vector.

Facts & Assumptions

Given: V=W=C2 with the standard inner product; the orthonormal basis (e+,e−); the vector Ψ above; the operators Tu,vx=⟨x,v⟩u on the finite-dimensional spaces.

[A1]

On V⊗W the pairing is ⟨u⊗v,u′⊗v′⟩=⟨u,u′⟩V⟨v,v′⟩W; the four elementary tensors e±⊗e± form an orthonormal basis, each Ψ∈V⊗W has a unique expansion ∑ijcijei⊗ej with ∥Ψ∥2=∑ij∣cij∣2, and the basis-free conventions (linearity in the first argument, conjugate symmetry) are those of Hilbert tensor construction: inner product, completion and product bases.

[A2]

For endomorphisms R of V⊗W there is a unique Tr⁡WR in End⁡(V) with tr⁡((Tr⁡WR)A)=tr⁡(R(A⊗IW)) for all A; it is linear and positive, Tr⁡WTΨ,Ψ=CC∗ where C:W→V is the coefficient map determined by Ψ=∑jCfj⊗fj, and Tr⁡V is defined symmetrically; the Schmidt decomposition Ψ=∑r=1ksrvr⊗ur has orthonormal families and positive s1≥⋯≥sk equal to the positive singular values of C, with ∥Ψ∥2=∑rsr2, and for ∥Ψ∥=1 the reduced density ρ=Tr⁡WTΨ,Ψ satisfies tr⁡ρ2=∑rsr4, which equals 1 exactly when k=1 (Finite partial trace, Schmidt decomposition and finite no-signalling(a),(b),(c)).

[A3]

Tu,v is trace class with tr⁡(Tu,v)=⟨u,v⟩, and tr⁡ is linear (Rank-one operator calculus).

[A4]

In an orthonormal basis of a finite-dimensional inner product space the matrix of Tu,v is the column-times-row matrix uv∗, so tr⁡(Tu,v)=⟨u,v⟩; Tx,zTw,y=⟨w,z⟩Tx,y for rank-one operators.

Verification

1.1A1algebra

[Coefficient matrix and norm] By [A1], Ψ=12e+⊗e−−12e−⊗e+ is the expansion with c+−=12, c−+=−12 and the other coefficients 0, so the coefficient map C:W→V is the matrix C=12(01−10) in the bases (e+,e−) (columns indexed by W), and ∥Ψ∥2=∣c+−∣2+∣c−+∣2=1.

2.1step 1.1A2algebra

[Partial traces] Computing CC∗=12(01−10)(0−110)=12IV and C∗C=12IW, [A2] gives Tr⁡WTΨ,Ψ=CC∗=12IV and, by symmetry, Tr⁡VTΨ,Ψ=C∗C=12IW; both are positive with trace 1, as they must be for the reduction of a unit vector.

3.1step 1.1step 2.1A2A3A4algebra∎

[Purity and Schmidt coefficients] The matrix 12IV has the single eigenvalue 12 with multiplicity 2 (in any basis its matrix is diagonal with entries 12), so tr⁡ρ2=2⋅(12)2=12 for ρ=Tr⁡WTΨ,Ψ; the positive singular values of C are the square roots of the eigenvalues of C∗C=12IW, namely s1=s2=12, so the Schmidt decomposition of Ψ has k=2 terms and ∑rsr2=1, in agreement with the norm formula of [A2]; since k=2>1, Ψ is not a product vector. Finally TΨ,Ψ2=TΨ,Ψ because TΨ,ΨTΨ,Ψ=⟨Ψ,Ψ⟩TΨ,Ψ by [A4] and ∥Ψ∥=1, so tr⁡(TΨ,Ψ2)=tr⁡(TΨ,Ψ)=⟨Ψ,Ψ⟩=1 by [A3].

Depends on

Dependency tree · 2 levels

Sources