A Tight Lower Bound for the Approximation Guarantee of Higher-Order Singular Value Decomposition
Data Structures and Algorithms
2025-08-12 v1 Machine Learning
Abstract
We prove that the classic approximation guarantee for the higher-order singular value decomposition (HOSVD) is tight by constructing a tensor for which HOSVD achieves an approximation ratio of , for any . This matches the upper bound of De Lathauwer et al. (2000a) and shows that the approximation ratio of HOSVD cannot be improved. Using a more advanced construction, we also prove that the approximation guarantees for the ST-HOSVD algorithm of Vannieuwenhoven et al. (2012) and higher-order orthogonal iteration (HOOI) of De Lathauwer et al. (2000b) are tight by showing that they can achieve their worst-case approximation ratio of , for any .
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Cite
@article{arxiv.2508.06693,
title = {A Tight Lower Bound for the Approximation Guarantee of Higher-Order Singular Value Decomposition},
author = {Matthew Fahrbach and Mehrdad Ghadiri},
journal= {arXiv preprint arXiv:2508.06693},
year = {2025}
}
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15 pages