DocumentCode
755267
Title
Inertia properties of indefinite quadratic forms
Author
Sayed, Ali H. ; Hassibi, Babak ; Kailath, Thomas
Author_Institution
Dept. of Electr. & Comput. Eng., California Univ., Santa Barbara, CA, USA
Volume
3
Issue
2
fYear
1996
Firstpage
57
Lastpage
59
Abstract
We study the relation between the solutions of two estimation problems with indefinite quadratic forms. We show that a complete link between both solutions can be established by invoking a fundamental set of inertia conditions. While these inertia conditions are automatically satisfied in a standard Hilbert space setting, they nevertheless turn out to mark the differences between the two estimation problems in indefinite metric spaces. They also include, as special cases, the well-known conditions for the existence of H/sup -/spl infin//-filters and controllers. Given two Hermitian matrices {/spl Pi/, W}, a column vector y, and an arbitrary matrix A of appropriate dimensions, we study the relation between two minimization problems with quadratic cost functions, and also refer to the indefinite-weighted least-squares problem.
Keywords
Hermitian matrices; Hilbert spaces; estimation theory; filtering theory; least squares approximations; minimisation; state-space methods; H/sup -/spl infin//-filters; Hermitian matrices; column vector; controllers; estimation problems; indefinite metric spaces; indefinite quadratic forms; indefinite weighted least squares problem; inertia conditions; inertia properties; minimization problems; quadratic cost functions; standard Hilbert space; Automatic control; Automatic testing; Cost function; Eigenvalues and eigenfunctions; Extraterrestrial measurements; Hilbert space; Signal processing algorithms; State estimation; Sufficient conditions;
fLanguage
English
Journal_Title
Signal Processing Letters, IEEE
Publisher
ieee
ISSN
1070-9908
Type
jour
DOI
10.1109/97.484217
Filename
484217
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