Generalized T-Product Tensor Bernstein Bounds

Generalized T-Product Tensor Bernstein Bounds

Year:    2022

Author:    Shih Yu Chang, Yimin Wei

Annals of Applied Mathematics, Vol. 38 (2022), Iss. 1 : pp. 25–61

Abstract

Since Kilmer et al. introduced the new multiplication method between two third-order tensors around 2008 and third-order tensors with such multiplication structure are also called as T-product tensors, T-product tensors have been applied to many fields in science and engineering, such as low-rank tensor approximation, signal processing, image feature extraction, machine learning, computer vision, and the multi-view clustering problem, etc. However, there are very few works dedicated to exploring the behavior of random T-product tensors. This work considers the problem about the tail behavior of the unitarily invariant norm for the summation of random symmetric T-product tensors. Majorization and antisymmetric Kronecker product tools are main techniques utilized to establish inequalities for unitarily norms of multivariate T-product tensors. The Laplace transform method is integrated with these inequalities for unitarily norms of multivariate T-product tensors to provide us with Bernstein bound estimation of Ky Fan $k$-norm for functions of the symmetric random T-product tensors summation. Finally, we also  apply T-product Bernstein inequality to bound Ky Fan norm of covariance T-product tensor induced by hypergraph signal processing.

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Journal Article Details

Publisher Name:    Global Science Press

Language:    English

DOI:    https://doi.org/10.4208/aam.OA-2021-0012

Annals of Applied Mathematics, Vol. 38 (2022), Iss. 1 : pp. 25–61

Published online:    2022-01

AMS Subject Headings:    Global Science Press

Copyright:    COPYRIGHT: © Global Science Press

Pages:    37

Keywords:    T-product tensors T-eigenvalues T-singular values Bernstein bound Courant-Fischer theorem for T-product tensors.

Author Details

Shih Yu Chang

Yimin Wei

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