ANU Computer Science Technical Reports
TR-CS-98-13
Michael Stewart.
Finding near rank deficiency in matrix products.
December 1998.
[POSTSCRIPT (155647 bytes)] [PDF (263774 bytes)] [EPrints archive]
Abstract: This paper gives a theorem characterizing
approximately minimal norm rank one perturbations E and F that make the
product (A+E)(B+F)^T rank deficient. The theorem is stated in terms of
the smallest singular value of a particular matrix chosen from a
parameterized family of matrices by solving a nonlinear equation.
Consequently, it is analogous to the special case of the Eckhart-Young
theorem describing the minimal perturbation that induces an order one rank
deficiency. While the theorem does not naturally extend to higher order rank
deficiencies, it can be used to compute a complete orthogonal product
decomposition to give improved practical reliability in revealing the
numerical rank of AB^T.
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