Minimum (maximum) rank of tensors and the sign nonsingular tensors
Changjiang Bu, Wenzhe Wang, Lizhu Sun, Jiang Zhou

TL;DR
This paper introduces new concepts of minimum and maximum tensor ranks, explores their properties, and characterizes sign nonsingular tensors, providing theoretical insights into tensor invertibility and rank relations.
Contribution
It defines and analyzes minimum and maximum tensor ranks, establishes conditions for sign nonsingular tensors, and characterizes tensors with sign inverses, advancing tensor theory.
Findings
Minimum tensor rank equals 1 under certain conditions
Maximum tensor rank is at least the term rank
Sign nonsingular tensors have minimum rank at least their dimension
Abstract
In this paper, we define the minimum (maximum) rank, term rank and the sign nonsingular of tensors. The sufficiency and necessity for the minimum rank of a real tensor to be is given. And we show that the maximum rank of a tensor is not less than the term rank. We also prove that the minimum rank of a sign nonsingular tensor is not less than the dimension of it. And we get some characterizations of a tensor having sign left or sign right inverses.
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Taxonomy
TopicsTensor decomposition and applications · Sparse and Compressive Sensing Techniques · Matrix Theory and Algorithms
