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Every regular real or complex pencil has a generalized Schur form
Statement
Let be a regular pencil over . Then there are unitary such that and are upper triangular. If , there are orthogonal such that is block upper triangular with one-by-one real blocks and two-by-two blocks whose generalized determinant polynomial has a nonreal conjugate root pair, while is upper triangular. In either form, the homogeneous roots of the diagonal block determinant polynomials are exactly the homogeneous generalized eigenvalues of .
Facts & Assumptions
Given: A regular finite square pencil of order over or .
Every regular complex pencil has a homogeneous eigenvalue pair: a regular pencil has a nonzero homogeneous pair with .
A regular pencil has no nonzero vector in both kernels: regularity excludes a nonzero vector in both and .
The homogeneous determinant factors across a block upper triangular pencil: the homogeneous determinant of a block upper triangular pair is the product of the determinants of its diagonal block pairs.
Householder reflectors and Givens transformations are unitary and can annihilate prescribed entries: Householder transformations are unitary and can align a nonzero vector with the first coordinate; Givens transformations can annihilate a prescribed coordinate.
Gram–Schmidt turns every finite independent list into an orthonormal list with the same successive spans: Gram–Schmidt converts finite independent lists to orthonormal lists with the same successive spans.
Every finite-dimensional real or complex inner product space has an orthonormal basis: every finite-dimensional real or complex inner product space has an orthonormal basis.
A finite-dimensional linear operator over a field is invertible if and only if its determinant is nonzero: a finite-dimensional operator over a field is invertible exactly when its determinant is nonzero.
A nonzero polynomial of degree over an integral domain has at most distinct roots: a nonzero polynomial of degree at most has at most distinct roots.
Complex and real generalized Schur forms: the required complex and real block structures and homogeneous diagonal roots are as defined there.
A square matrix with zero determinant has a nonzero kernel vector: over either or , zero determinant gives a nonzero kernel vector.
For same-sized finite square matrices over a commutative ring, : determinants multiply under matrix products.
Proof
Proof technique: induction on the pencil order, splitting one real eigenvalue or one nonreal conjugate pair at each step.
We prove the statement by induction on , with the empty trailing pencil allowed after a final block is removed. For , regularity says the scalar pair is not , and gives the required form. Now let and assume the result for smaller regular pencils.
Choose a homogeneous eigenvalue pair by [F1]. Its homogeneous determinant is zero, so [F10] gives a nonzero vector in the kernel over . For real input and a real projective root, rescale to real coordinates and apply [F10] over . If , put ; then . If , this also gives , contrary to [F2], so . If , then and [F2] gives .
If the input field is complex, or if the selected root for real input is real, use a one-dimensional block. Set in the finite case and in the infinite case. Both vectors are nonzero by step 1.2. By [F4], choose unitary/orthogonal alignments and and set , . Then and , so and have zeros below their first entries in the first column. The leading diagonal pair is nonzero: in the finite case its entry is nonzero, and in the infinite case its entry is nonzero.
If the input is real and the selected root is nonreal, then ; write with and write the vector from step 1.2 as in . The real vectors are linearly independent. If they were dependent, would be a nonzero complex multiple of a nonzero real vector , so . If , then , contradicting [F2]. If , a coordinate with gives , contradicting . Put and . Separating real and imaginary parts gives and , so . If , then for each the map has a nonzero kernel because its domain has dimension two and its range has dimension at most one. Hence is not invertible, so [F7] gives for every , contradicting regularity and [F8]. Thus .
Apply [F5] to obtain orthonormal bases of and of , choosing by Gram–Schmidt on . The restriction sends a basis to the independent pair and is therefore an isomorphism. Its matrix in these bases is , so is invertible and [F7] gives ; the Gram–Schmidt choice makes this matrix upper triangular. Extend these bases by orthonormal bases of and using [F6]. In these full bases, the first two columns of both transformed matrices are supported in the first two rows. Let be the invertible change-of-basis matrix from to . The equations in step 2.2 give , where . Thus the leading blocks satisfy , and is similar to . Consequently is a nonzero polynomial with roots .
In either the one-dimensional case of step 2.1 or the two-dimensional case of step 3.1, the transformed pair has a nonzero leading block determinant polynomial . The transformed full pencil is regular: by [F8] choose with ; the unitary or orthogonal changes of basis preserve invertibility. By [F7], the transformed determinant at this is also nonzero, so the transformed full determinant polynomial is nonzero. If there is no trailing block, the transformed pencil is just its leading block and this already proves regularity. If the trailing block is nonempty, both block sizes are positive, so [F3] factors the full determinant polynomial as times the trailing determinant. A product of two nonzero complex polynomials is nonzero because their leading nonzero coefficients have nonzero product. Since and the full determinant are nonzero, the trailing determinant is nonzero, so the trailing pencil is regular.
If the trailing block is nonempty, apply the induction hypothesis to it and extend its left and right transformations by identity matrices on the leading block. If it is empty, no further transformation is needed. This produces the stated upper triangular complex form or real block upper triangular form with upper triangular second factor.
The left and right basis changes are invertible, so [F7] shows that they preserve singularity of every homogeneous pencil matrix. If there is one diagonal block, its determinant is the full determinant. With at least two blocks, split off the first diagonal block and apply [F3] repeatedly; every split has positive block sizes. The resulting product is the nonzero determinant polynomial of the regular transformed pencil, so each factor is nonzero by the leading-coefficient argument in step 4.1. Thus a homogeneous pair is a root of the full determinant exactly when it is a root of at least one diagonal block determinant. The basis changes preserve this root set, which proves the claim.
Depends on
- Regular matrix pencils and homogeneous generalized eigenvalues
- Complex and real generalized Schur forms
- Every regular complex pencil has a homogeneous eigenvalue pair
- A regular pencil has no nonzero vector in both kernels
- The homogeneous determinant factors across a block upper triangular pencil
- A square matrix with zero determinant has a nonzero kernel vector
- For $n\ge1$, the determinant over a commutative ring by the Leibniz formula, and $|\det A|$ for a real matrix
- For same-sized finite square matrices over a commutative ring, $\det(AB)=\det(A)\det(B)$
- A nonzero polynomial of degree $n$ over an integral domain has at most $n$ distinct roots
- A finite-dimensional linear operator over a field is invertible if and only if its determinant is nonzero
- Gram–Schmidt turns every finite independent list into an orthonormal list with the same successive spans
- Every finite-dimensional real or complex inner product space has an orthonormal basis
- Householder reflectors and Givens transformations are unitary and can annihilate prescribed entries
Used by
Nothing in the library uses this result yet.
Cited to discharge well-definedness by Complex and real generalized Schur forms.
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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, §2.1 (standard reference, not scraped)
- Peter Arbenz, Lecture Notes on Solving Large Scale Eigenvalue Problems, §§12.8–12.9 (standard reference, not scraped)
- LAPACK Users' Guide, Generalized Nonsymmetric Eigenproblems (standard reference, not scraped)