Perturbation analysis for t-product based tensor inverse, Moore-Penrose inverse and tensor system
Zhengbang Cao, Pengpeng Xie

TL;DR
This paper develops perturbation analysis for tensor inverses and tensor systems based on the t-product, extending classical formulas like Sherman-Morrison-Woodbury to tensor scenarios for sensitivity analysis.
Contribution
It generalizes the Sherman-Morrison-Woodbury formula to t-product tensors and applies it to analyze the sensitivity of tensor inverse and tensor systems.
Findings
Extended SMW formula for t-product tensors
Provided perturbation bounds for tensor inverses
Enabled sensitivity analysis of multilinear tensor systems
Abstract
This paper establishes some perturbation analysis for the tensor inverse, the tensor Moore-Penrose inverse and the tensor system based on the t-product. In the settings of structured perturbations, we generalize the Sherman-Morrison-Woodbury (SMW) formula to the t-product tensor scenarios. The SMW formula can be used to perform sensitivity analysis for a multilinear system of equations.
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Taxonomy
TopicsTensor decomposition and applications · Computational Physics and Python Applications · Matrix Theory and Algorithms
