Linear rank preservers of tensor products of rank one matrices
Zejun Huang, Shiyu Shi, Nung-Sing Sze

TL;DR
This paper characterizes linear maps on tensor product matrices that preserve rank-one tensors, extending recent results on rank-preserving maps for special matrix classes, with implications for understanding tensor structure.
Contribution
It provides a complete characterization of linear rank-preserving maps on tensor products of rank-one matrices, extending existing results to more general tensor settings.
Findings
Characterization of linear maps preserving rank-one tensor products
Extension of recent rank-preserving map results to tensor products
Implications for tensor and matrix rank structure analysis
Abstract
Let be integers larger than or equal to 2. We characterize linear maps such that Applying this result, we extend two recent results on linear maps that preserving the rank of special classes of matrices.
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