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.
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- 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.
Spectrum of the two-qubit Pauli exchange matrix
Statement
For from Pauli matrices and the two-qubit exchange operator, “ is an eigenvector with eigenvalue ” has the exact meaning from Eigenvalues, eigenvectors, eigenspaces , and the spectrum of an endomorphism: and . The singlet vector has eigenvalue , and the three orthonormal triplet vectors , , and have eigenvalue . Here is the unique positive square root supplied by Existence and uniqueness of -th roots: a unique with . These four vectors are an orthonormal basis of .
Facts & Assumptions
Given: The explicit Pauli matrices, exchange matrix, and ordered basis of Pauli matrices and the two-qubit exchange operator.
Pauli matrices and the two-qubit exchange operator: in the displayed tensor-product basis.
Existence and uniqueness of -th roots: a unique with : is the unique positive real number whose square is .
Eigenvalues, eigenvectors, eigenspaces , and the spectrum of an endomorphism: for a linear map , an eigenvalue has a nonzero eigenvector satisfying .
Proof
Applying the three tensor products in [F1] to the ordered basis gives the matrix with outer diagonal entries , middle block , and all other entries zero.
The outer basis vectors are eigenvectors with eigenvalue . The middle block sends to and to . Since , each displayed middle vector has squared norm ; their inner product is . They are also orthogonal to , so together the four nonzero eigenvectors form an orthonormal basis and give the full spectrum.