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.
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These labels describe origin, not correctness: citations and verification chips remain separate evidence.
Givens reduction of a matrix pair to Hessenberg-triangular form
Definition
Input , , with . All transformations here are exact. Use zero-based matrix indices , as in Real Givens rotations and complex Givens transformations. Let .
For a target pair , define the left factor deterministically. Use if . Otherwise put and . Over , take , . Over , if take , ; otherwise take , , . Thus with . Set and define the right factor Then with ; the zero pair again uses identity. These factors are real orthogonal over or unitary over , as direct multiplication shows in Householder reflectors and Givens transformations are unitary and can annihilate prescribed entries; the right identity follows by taking adjoints of the left annihilation of and reversing the coordinates. Use their identity embeddings on the two rows or columns specified by each step below.
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Triangularise by left rotations. For and, in descending order, , set
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Reduce to upper Hessenberg form while restoring triangularity of . For and, in descending order, , set then set
Return , where is upper Hessenberg and is upper triangular in the senses of Upper Hessenberg matrices and real symmetric tridiagonal matrices and Upper triangular, lower triangular and diagonal square matrices over a commutative ring. The outputs are represented by the exact products of the recorded Givens factors; no dense rounded factor is asserted unitary.
Depends on
- Upper Hessenberg matrices and real symmetric tridiagonal matrices
- Upper triangular, lower triangular and diagonal square matrices over a commutative ring
- Real Givens rotations and complex Givens transformations
- Householder reflectors and Givens transformations are unitary and can annihilate prescribed entries
Used by
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Sources
- Daniel Kressner, Numerical Methods and Software for General and Structured Eigenvalue Problems (PhD dissertation, 2004), Chapter 2: The QZ Algorithm, §3.1 (standard reference, not scraped)
- LAPACK Users' Guide, Generalized Nonsymmetric Eigenproblems (standard reference, not scraped)