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Research PaperResearchia:202602.13020

Low T-Phase Rank Approximation of Third Order Tensors

Taehyeong Kim

Abstract

We study low T-phase-rank approximation of sectorial third-order tensors $\mathscr{A}\in\mathbb{C}^{n\times n\times p}$ under the tensor T-product. We introduce canonical T-phases and T-phase rank, and formulate the approximation task as minimizing a symmetric gauge of the canonical phase vector under a T-phase-rank constraint. Our main tool is a tensor phase-majorization inequality for the geometric mean, obtained by lifting the matrix inequality through the block-circulant representation. In t...

Submitted: February 13, 2026Subjects: Mathematics; Mathematics

Description / Details

We study low T-phase-rank approximation of sectorial third-order tensors AโˆˆCnร—nร—p\mathscr{A}\in\mathbb{C}^{n\times n\times p} under the tensor T-product. We introduce canonical T-phases and T-phase rank, and formulate the approximation task as minimizing a symmetric gauge of the canonical phase vector under a T-phase-rank constraint. Our main tool is a tensor phase-majorization inequality for the geometric mean, obtained by lifting the matrix inequality through the block-circulant representation. In the positive-imaginary regime, this yields an exact optimal-value formula and an explicit optimal half-phase truncation family. We further establish tensor counterparts of classical matrix phase inequalities and derive a tensor small phase theorem for MIMO linear time-invariant systems.


Source: arXiv:2602.12121v1 - http://arxiv.org/abs/2602.12121v1 PDF: https://arxiv.org/pdf/2602.12121v1 Original Link: http://arxiv.org/abs/2602.12121v1

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Date:
Feb 13, 2026
Topic:
Mathematics
Area:
Mathematics
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