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.
ISBN: | 9784431554585 |
Publication date: | 30th March 2016 |
Author: | Toshio Sakata, Toshio Sumi, Mitsuhiro Miyazaki, Takanori Maehara |
Publisher: | Springer an imprint of Springer Japan |
Format: | Paperback |
Pagination: | 108 pages |
Series: | SpringerBriefs in Statistics |
Genres: |
Probability and statistics Social research and statistics Mathematical and statistical software |