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Title: Quantifying low rank approximations of third order symmetric tensors
Authors: Hu, S
Sun, D 
Toh, KC
Issue Date: Sep-2025
Source: Mathematical programming, Sept 2025, v. 213, no. 1-2, p. 1119–1168
Abstract: In this paper, we present a method to certify the approximation quality of a low rank tensor to a given third order symmetric tensor. Under mild assumptions, best low rank approximation is attained if a control parameter is zero or quantified quasi-optimal low rank approximation is obtained if the control parameter is positive. This is based on a primal-dual method for computing a low rank approximation for a given tensor. The certification is derived from the global optimality of the primal and dual problems, and is characterized by easily checkable relations between the primal and the dual solutions together with another rank condition. The theory is verified theoretically for orthogonally decomposable tensors as well as numerically through examples in the general case.
Keywords: Duality
Low rank approximation
Moment
Optimality
Orthogonally decomposable tensor
Polynomial
Projection
Quasi-optimal
Rank constraint
SDP relaxation
Tensor
Publisher: Springer
Journal: Mathematical programming 
ISSN: 0025-5610
EISSN: 1436-4646
DOI: 10.1007/s10107-024-02165-1
Rights: © The Author(s) 2024
This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/.
The following publication Hu, S., Sun, D. & Toh, KC. Quantifying low rank approximations of third order symmetric tensors. Math. Program. 213, 1119–1168 (2025) is available at https://doi.org/10.1007/s10107-024-02165-1.
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