Solving systems of linear equations with normal coefficient matrices and the degree of the minimal polyanalytic polynomial (Q1991768)
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scientific article; zbMATH DE number 6968672
| Language | Label | Description | Also known as |
|---|---|---|---|
| English | Solving systems of linear equations with normal coefficient matrices and the degree of the minimal polyanalytic polynomial |
scientific article; zbMATH DE number 6968672 |
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Solving systems of linear equations with normal coefficient matrices and the degree of the minimal polyanalytic polynomial (English)
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30 October 2018
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Let \(A\) be a normal matrix. Then the infinite sequence of matrices given by \(I, A, A^*, A^2, AA^*, (A^*)^2,A^3,\dots\) is linearly dependent and so there exists nonnegative integers \(p\) and \(q\) such that \(\sum_{i=0}^p \sum_{j=0}^q \alpha_{ij} A^i(A^*)^j=0\), where not all the \(\alpha_{ij}\) are zero. Such an equation gives rise to a polynomial, called polyanalytic polynomial, that annihilates \(A\). One may then define the minimal polyanalytic polynomial as the unique monic polyanalytic polynomial. The main result of the article is the following: Let \(m\) be the degree of the minimal polyanalytic polynomial of a normal matrix \(A\). Then the reduced form of \(A\), obtained by the generalized Lanczos process, is a band matrix whose bandwidth does not exceed \(4m-1\).
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normal matrix
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generalized Lanczos process
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condensed form
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band matrix
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minimal polyanalytic polynomial
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