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Journal of the Belarusian State University. Mathematics and Informatics, 2022 Volume 3, Pages 91–106 (Mi bgumi202)

Computational Mathematics

On the theory of operator interpolation in spaces of rectangular matrixes

M. V. Ignatenkoa, L. A. Yanovichb

a Belarusian State University, 4 Niezalieznasci Avenue, Minsk 220030, Belarus
b Institute of Mathematics, National Academy of Sciences of Belarus, 11 Surhanava Street, Minsk 220072, Belarus

Abstract: The problem of constructing and studying interpolation operator polynomials of an arbitrary fixed degree, defined in spaces of rectangular matrices, which would be generalisations of the corresponding interpolation formulas in the case of square matrices, is considered. Linear interpolation formulas of various structures are constructed for rectangular matrices. Matrix polynomials, with respect to which the resulting interpolation formulas are invariant, are indicated. As a generalisation of linear formulas, formulas for quadratic interpolation and interpolation by polynomials of arbitrary fixed degree in the space of rectangular matrices are constructed. Particular cases of the obtained formulas are considered: when square matrices are chosen as nodes or when the values of the interpolated function are square matrices, as well as the case when both of these conditions are satisfied. For the last variant, the possibilities of different and identical matrix orders for nodes and function values are explored. The obtained results are based on the application of some well-known provisions of the theory of matrices and the theory of interpolation of scalar functions. The presentation of the material is illustrated by a number of examples.

Keywords: pseudo-inverse matrix; skeletal decomposition of a matrix; function of a matrix; matrix polynomial; operator interpolation.

UDC: 517.988; 519.65

Received: 25.07.2022
Revised: 30.08.2022
Accepted: 30.09.2022

DOI: 10.33581/2520-6508-2022-3-91-106



© Steklov Math. Inst. of RAS, 2025