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We define a compact local Smith–McMillan form of a rational matrix R(λ) as the diagonal matrix whose diagonal elements are the nonzero entries of a local Smith-McMillan form of R(λ). We show that a recursive rank search procedure, applied to a block-Toeplitz matrix built on the Laurent expansion of R(λ) around an arbitrary complex point λ0, allows us to compute a compact local Smith-McMillan form of that rational matrix R(λ) at the point λ0, provided we keep track of the transformation matrices used in the rank search. It also allows us to recover the root polynomials of a polynomial matrix and root vectors of a rational matrix, at an expansion point λ0. Numerical tests illustrate the promising performance of the resulting algorithm.
Noferini et al. (Mon,) studied this question.
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