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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These labels describe origin, not correctness: citations and verification chips remain separate evidence.
The homogeneous determinant factors across a block upper triangular pencil
Statement
Let , , and let be block upper triangular with the same two-block partition of sizes , with diagonal blocks and . For every ,
Facts & Assumptions
Given: A block upper triangular pair with a common two-block partition.
For , the determinant over a commutative ring by the Leibniz formula, and for a real matrix: the determinant is the signed finite sum over permutations.
Proof
The matrix is block upper triangular, so every entry in its lower-left block is zero. In a nonzero Leibniz term, each of the first block's columns must therefore be paired with one of the first block's rows. Since the block sizes agree, these choices are a permutation of exactly those rows, and the remaining columns are paired with the remaining rows. Thus every nonzero permutation term splits into one term from each diagonal block.
Summing the split terms in [F1] gives the product of the two signed permutation sums for and . These sums are their determinants, which proves the identity.
Depends on
Used by
- Separated DARE pencils have quantitatively stable deflating graphs Proposition
- The stabilizing DARE solution is the stable deflating graph of a regular symplectic pencil Proposition
- Every regular real or complex pencil has a generalized Schur form Theorem
- Finite-budget stable block reordering has exact adjacent-swap correctness and status Theorem
Dependency tree · two levels
10 results within two dependency steps of this one, each drawn at its shortest distance from it. An arrow runs from a result to what uses it, so the chart reads left to right and ends at this result, which carries a heavier outline. Every node is a link to that result. Click elsewhere on the chart to enlarge it.
Sources
- Daniel Kressner, Numerical Methods and Software for General and Structured Eigenvalue Problems (PhD dissertation, 2004), Chapter 2: The QZ Algorithm (standard reference, not scraped)
- Peter Arbenz, Lecture Notes on Solving Large Scale Eigenvalue Problems, §12.8 (standard reference, not scraped)