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A compact Francis bulge chase preserves Hessenberg form and the initial direction
Statement
Let , let , and require when . Let be upper Hessenberg, and let be a Householder reflector supported on the first coordinates. Set . For , put . Let be either the identity on or a Householder reflector supported on , in either case required to map the active vector to a multiple of the first coordinate vector, and set . Then is upper Hessenberg.
If, in addition, , with , and , then . Thus the exact chase preserves the initial direction while restoring the Hessenberg zero pattern.
Facts & Assumptions
Given: The matrices and supported Householder transformations in the statement.
Upper Hessenberg matrices and real symmetric tridiagonal matrices: an upper-Hessenberg matrix has whenever .
Householder reflectors in real or complex inner-product spaces: a Householder reflector is self-adjoint, involutive, and acts as the identity outside its stated support.
Householder reflectors and Givens transformations are unitary and can annihilate prescribed entries: every nonzero active vector admits a Householder reflector mapping it to a multiple of the first coordinate vector.
Proof
Write for the assertions that columns of are upper Hessenberg and every nonzero entry below the first subdiagonal of lies in a row . For the base , changes only the first rows and columns. If and , then , so [F1] gives ; right multiplication within the first columns and left multiplication within the first rows cannot create entries there. For , the row is untouched and whenever . Hence all below-subdiagonal entries of lie in rows , which is .
Suppose holds. By hypothesis, the chosen aligns the active vector, including when is the identity. Such choices exist by [F3] for a nonzero vector and by the identity for a zero vector. The below-subdiagonal entries of column can occur only in rows , all inside . Left multiplication by maps the active column segment to a multiple of its first coordinate; here [F2] identifies with the reflector . The rows beyond already vanish there by . Since right multiplication acts only on columns in , column is unchanged by it and is now Hessenberg. If , every entry in rows of column was zero because ; the left update preserves these zeros and the right update does not touch column . Thus columns are Hessenberg after this step.
The left update changes only rows at most . In the columns in , any entry below the first subdiagonal in a row greater than is zero before the right update: it lies below the Hessenberg band, and its row exceeds the support bound in . The right update mixes only columns in , so those entries remain zero. In columns outside , the right update makes no change; rows outside the left support are unchanged, and every below-subdiagonal entry in a row greater than was already zero by . Therefore every below-subdiagonal entry of lies in a row , proving .
If , every matrix is upper Hessenberg. If , the loop ends at ; steps 1.2 and 2.1 show that columns through are Hessenberg, while the last two columns cannot contain entries below their first subdiagonal by dimension. Hence is upper Hessenberg. By [F2], implies . Each later is supported on indices beginning at , so . Therefore .
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Sources
- James Demmel, Math 221 Lecture 16: the implicit Q theorem (standard reference, not scraped)
- David Bindel, CS 6210 Matrix Computations, Hessenberg QR iteration (standard reference, not scraped)