Algebraic and Computational Aspects of Real Tensor Ranks

Beschreibung

This book provides comprehensive summaries of theoretical (algebraic) and computational aspects of tensor ranks, maximal ranks, and typical ranks, over the real number field. Although tensor ranks have been often argued in the complex number field, it should be emphasized that this book treats real tensor ranks, which have direct applications in statistics. The book provides several interesting ideas, including determinant polynomials, determinantal ideals, absolutely nonsingular tensors, absolutely full column rank tensors, and their connection to bilinear maps and Hurwitz-Radon numbers. In addition to reviews of methods to determine real tensor ranks in details, global theories such as the Jacobian method are also reviewed in details. The book includes as well an accessible and comprehensive introduction of mathematical backgrounds, with basics of positive polynomials and calculations by using the Groebner basis. Furthermore, this book provides insights into numerical methods of finding tensor ranks through simultaneous singular value decompositions.
Presents the first comprehensive treatment of maximal ranks and typical ranks over the real number file Provides interesting ideas of determinant polynomials, determinantal ideals, absolutely nonsingular tensors and absolutely full column rank tensors Includes numerical methods of determining ranks by simultaneous singular value decomposition through a theory of matrix star algebra

Autor*in

Toshio Sakata

Themen in »Algebraic and Computational Aspects of Real Tensor Ranks«

Computational Aspects of Tensor Ranks Full Rank Tensors Maximal Rank of Real Tensors Simultaneous Singular Value Decomposition Typical Rank of Real Tensors

Stimmen zu »Algebraic and Computational Aspects of Real Tensor Ranks«

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