Matrix Function

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The Experts below are selected from a list of 342078 Experts worldwide ranked by ideXlab platform

Jinrong Wang - One of the best experts on this subject based on the ideXlab platform.

Sergei V Rogosin - One of the best experts on this subject based on the ideXlab platform.

  • exact conditions for preservation of the partial indices of a perturbed triangular 2 2 Matrix Function
    2020
    Co-Authors: Victor M Adukov, Gennady Mishuris, Sergei V Rogosin
    Abstract:

    The possible instability of partial indices is one of the important constraints in the creation of approximate methods for the factorization of Matrix Functions. This paper is devoted to a study of...

  • regular approximate factorization of a class of Matrix Function with an unstable set of partial indices
    2018
    Co-Authors: Gennady Mishuris, Sergei V Rogosin
    Abstract:

    From the classic work of Gohberg & Krein (1958 Uspekhi Mat. Nauk.XIII, 3-72. (Russian).), it is well known that the set of partial indices of a non-singular Matrix Function may change depending on the properties of the original Matrix. More precisely, it was shown that if the difference between the largest and the smallest partial indices is larger than unity then, in any neighbourhood of the original Matrix Function, there exists another Matrix Function possessing a different set of partial indices. As a result, the factorization of Matrix Functions, being an extremely difficult process itself even in the case of the canonical factorization, remains unresolvable or even questionable in the case of a non-stable set of partial indices. Such a situation, in turn, has became an unavoidable obstacle to the application of the factorization technique. This paper sets out to answer a less ambitious question than that of effective factorizing Matrix Functions with non-stable sets of partial indices, and instead focuses on determining the conditions which, when having known factorization of the limiting Matrix Function, allow to construct another family of Matrix Functions with the same origin that preserves the non-stable partial indices and is close to the original set of the Matrix Functions.

Gennady Mishuris - One of the best experts on this subject based on the ideXlab platform.

  • exact conditions for preservation of the partial indices of a perturbed triangular 2 2 Matrix Function
    2020
    Co-Authors: Victor M Adukov, Gennady Mishuris, Sergei V Rogosin
    Abstract:

    The possible instability of partial indices is one of the important constraints in the creation of approximate methods for the factorization of Matrix Functions. This paper is devoted to a study of...

  • numerical factorization of a Matrix Function with exponential factors in an anti plane problem for a crack with process zone
    2019
    Co-Authors: P Livasov, Gennady Mishuris
    Abstract:

    In this paper, we consider an interface mode III crack with a process zone located in front of the fracture tip. The zone is described by imperfect transmission conditions. After application of the Fourier transform, the original problem is reduced to a vectorial Wiener-Hopf equation whose kernel contains oscillatory factors. We perform the factorization numerically using an iterative algorithm and discuss convergence of the method depending on the problem parameters. In the analysis of the solution, special attention is paid to its behaviour near both ends of the process zone. Qualitative analysis was performed to determine admissible values of the process zone's length for which equilibrium cracks exist. This article is part of the theme issue 'Modelling of dynamic phenomena and localization in structured media (part 1)'.

  • regular approximate factorization of a class of Matrix Function with an unstable set of partial indices
    2018
    Co-Authors: Gennady Mishuris, Sergei V Rogosin
    Abstract:

    From the classic work of Gohberg & Krein (1958 Uspekhi Mat. Nauk.XIII, 3-72. (Russian).), it is well known that the set of partial indices of a non-singular Matrix Function may change depending on the properties of the original Matrix. More precisely, it was shown that if the difference between the largest and the smallest partial indices is larger than unity then, in any neighbourhood of the original Matrix Function, there exists another Matrix Function possessing a different set of partial indices. As a result, the factorization of Matrix Functions, being an extremely difficult process itself even in the case of the canonical factorization, remains unresolvable or even questionable in the case of a non-stable set of partial indices. Such a situation, in turn, has became an unavoidable obstacle to the application of the factorization technique. This paper sets out to answer a less ambitious question than that of effective factorizing Matrix Functions with non-stable sets of partial indices, and instead focuses on determining the conditions which, when having known factorization of the limiting Matrix Function, allow to construct another family of Matrix Functions with the same origin that preserves the non-stable partial indices and is close to the original set of the Matrix Functions.

Alexander Sakhnovich - One of the best experts on this subject based on the ideXlab platform.

Andre C M Ran - One of the best experts on this subject based on the ideXlab platform.