The smallest singular value anomaly: The reasons behind sharp anomaly

Let AA be an arbitrary matrix in which the number of rows, mm, is considerably larger than the number of columns, nn. Let the submatrix Ai,i=1,…,m{A}_{i},\hspace{0.33em}i=1,\ldots ,m, be composed from the first ii rows of AA, and let βi{\beta }_{i} denote the smallest singular value of Ai{A}_{i}. Re...

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Bibliographic Details
Main Author: Dax Achiya
Format: Article
Language:English
Published: De Gruyter 2024-04-01
Series:Special Matrices
Subjects:
Online Access:https://doi.org/10.1515/spma-2024-0002