Alphabeta Math
LemmaStatement: AI-adaptedProof: AI-adaptedPipeline-generatedjudge pass (gpt-6-luna)
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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.

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Spectrum of the two-qubit Pauli exchange matrix

Statement

For C from Pauli matrices and the two-qubit exchange operator, “v is an eigenvector with eigenvalue λ” has the exact meaning from Eigenvalues, eigenvectors, eigenspaces Eλ(T)=ker⁡(T−λI), and the spectrum σF(T) of an endomorphism: v≠0 and Cv=λv. The singlet vector s=(e0⊗e1−e1⊗e0)/2 has eigenvalue −3, and the three orthonormal triplet vectors e0⊗e0, (e0⊗e1+e1⊗e0)/2, and e1⊗e1 have eigenvalue 1. Here 2 is the unique positive square root supplied by Existence and uniqueness of n-th roots: a unique a1/n≥0 with (a1/n)n=a. These four vectors are an orthonormal basis of C2⊗C2.

Facts & Assumptions

Given: The explicit Pauli matrices, exchange matrix, and ordered basis of Pauli matrices and the two-qubit exchange operator.

[F1]

Pauli matrices and the two-qubit exchange operator: C=σx⊗σx+σy⊗σy+σz⊗σz in the displayed tensor-product basis.

[F2]

Existence and uniqueness of n-th roots: a unique a1/n≥0 with (a1/n)n=a: 2 is the unique positive real number whose square is 2.

[F3]

Eigenvalues, eigenvectors, eigenspaces Eλ(T)=ker⁡(T−λI), and the spectrum σF(T) of an endomorphism: for a linear map T, an eigenvalue λ has a nonzero eigenvector v satisfying T(v)=λv.

Proof

1.1givenF1F3algebra

Applying the three tensor products in [F1] to the ordered basis (00,01,10,11) gives the matrix with outer diagonal entries 1,1, middle block (−122−1), and all other entries zero.

2.1givenF2F3step 1.1algebra∎

The outer basis vectors are eigenvectors with eigenvalue 1. The middle block sends (01−10)/2 to −3(01−10)/2 and (01+10)/2 to (01+10)/2. Since (2)2=2, each displayed middle vector has squared norm (1+1)/2=1; their inner product is (1−1)/2=0. They are also orthogonal to 00,11, so together the four nonzero eigenvectors form an orthonormal basis and give the full spectrum.

Depends on

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