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Journal of Functional Analysis
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Journal of Functional Analysis
Article . 1999
License: Elsevier Non-Commercial
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Journal of Functional Analysis
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Computer Assistance for “Discovering” Formulas in System Engineering and Operator Theory

Computer assistance for ``discovering'' formulas in system engineering and operator theory
Authors: Helton, J. W.; Stankus, Mark;

Computer Assistance for “Discovering” Formulas in System Engineering and Operator Theory

Abstract

The objective of this paper is twofold. First the authors present in considerable detail a methodology for using a combination of computer assistance and human intervention to discover highly algebraic theorems in operator, matrix, and linear systems engineering theory. Secondly the authors illustrate the methodology by deriving theorems: 1. The Bart-Gohberg-Kaashoek-van Dooren theorem. 2. An \(H^\infty\) control problem theorem. 3. Matrix completion problems. The commands used in deriving these results rely on noncommutative Gröbner Basis algorithms. The reader need not understand this theoretical basis in order to appreciate the derivation of these theorems. However, in the second part of this paper, theory and more details are given. This part contains background on ideals and Gröbner bases and also more details on the commands used in the first part of this paper.

Keywords

Bart-Gohberg-Kaashoek-van Dooren theorem, Operator-theoretic methods, Software, source code, etc. for problems pertaining to systems and control theory, algebraic theorems, 004, 510, Software, source code, etc. for problems pertaining to operator theory, operator theory, non-commutative Gröbner basis algorithms, \(H^\infty\) control, system engineering, computer assistance, matrix completion, Mathematics, Computational methods in systems theory, Analysis

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
10
Average
Top 10%
Average
hybrid