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2000 | OriginalPaper | Buchkapitel

Computing the Frobenius Normal Form of a Sparse Matrix

verfasst von : Gilles Villard

Erschienen in: Computer Algebra in Scientific Computing

Verlag: Springer Berlin Heidelberg

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We probabilistically determine the Frobenius form and thus the characteristic polynomial of a matrix $$A \in {^{n \times n}}$$ by O(μnlog(n)) multiplications of A by vectors and 0 (μn2 log2 (n)loglog(n)) arithmetic operations in the field F . The parameter μ.L is the number of distinct invariant factors of A, it is less than $$3{{\sqrt n } \mathord{\left/ {\vphantom {{\sqrt n } 2}} \right. \kern-\nulldelimiterspace} 2}$$in the worst case. The method requires O(n) storage space in addition to that needed for the matrix A.

Metadaten
Titel
Computing the Frobenius Normal Form of a Sparse Matrix
verfasst von
Gilles Villard
Copyright-Jahr
2000
Verlag
Springer Berlin Heidelberg
DOI
https://doi.org/10.1007/978-3-642-57201-2_30