
Let \(z\mapsto A(z)= A_0+z A_1+\cdots\) be an analytic \(n\times n\) matrix valued function, defined in a neighbourhood of the origin. It is supposed that \(A_0\) is singular but \(A(z)\) is not for small \(z\neq 0\). Then there exists an integer \(s\geq 1\) such that \(A^{-1}(z)=z^{-s} (X_0+zX_1+\cdots)\). The authors discuss three computational procedures for determining the matrix coefficients \(X_k\), \(k=0,1, \dots\). A comparison is made with algorithms based on symbolic algebra.
Perturbation theory of linear operators, Matrices over function rings in one or more variables, analytic perturbation, symbolic algebra, Theory of matrix inversion and generalized inverses, Symbolic computation and algebraic computation, algorithms, Laurent series, Functions whose values are linear operators (operator- and matrix-valued functions, etc., including analytic and meromorphic ones), matrix inversion, matrix valued functions
Perturbation theory of linear operators, Matrices over function rings in one or more variables, analytic perturbation, symbolic algebra, Theory of matrix inversion and generalized inverses, Symbolic computation and algebraic computation, algorithms, Laurent series, Functions whose values are linear operators (operator- and matrix-valued functions, etc., including analytic and meromorphic ones), matrix inversion, matrix valued functions
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