Takagi factorization of matrices depending on parameters and locating degeneracies of singular values
Luca Dieci, Alessandra Papini, Alessandro Pugliese

TL;DR
This paper studies the Takagi factorization of parameter-dependent matrices, analyzing the smoothness, genericity, and degeneracies of singular values, and develops numerical methods to locate and study these degeneracies.
Contribution
It provides theoretical results on the co-dimension of singular value degeneracies and introduces numerical techniques to identify these phenomena in parameter space.
Findings
Degeneracies have co-dimension 2.
Numerical methods effectively locate degeneracies.
Density of degeneracies analyzed numerically.
Abstract
In this work we consider the Takagi factorization of a matrix valued function depending on parameters. We give smoothness and genericity results and pay particular attention to the concerns caused by having either a singular value equal to or multiple singular values. For these phenomena, we give theoretical results showing that their co-dimension is , and we further develop and test numerical methods to locate in parameter space values where these occurrences take place. Numerical study of the density of these occurrences is performed.
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Taxonomy
TopicsMatrix Theory and Algorithms · Approximation Theory and Sequence Spaces · Statistical and numerical algorithms
