Maximum relative distance between real rank-two and rank-one tensors
Henrik Eisenmann, Andr\'e Uschmajew

TL;DR
This paper establishes tight bounds on how close a real symmetric rank-two tensor can be to a rank-one tensor in Frobenius norm, revealing fundamental limits on tensor approximation quality.
Contribution
It derives the first explicit upper bound on the relative Frobenius distance for rank-two tensors and characterizes the minimal spectral-to-Frobenius norm ratio for symmetric tensors.
Findings
Bound on Frobenius distance: . . .
Minimal spectral-to-Frobenius ratio: . .
Bounds verified for arbitrary rank-two tensors.
Abstract
It is shown that the relative distance in Frobenius norm of a real symmetric order- tensor of rank two to its best rank-one approximation is upper bounded by . This is achieved by determining the minimal possible ratio between spectral and Frobenius norm for symmetric tensors of border rank two, which equals . These bounds are also verified for arbitrary real rank-two tensors by reducing to the symmetric case.
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Taxonomy
TopicsTensor decomposition and applications · Blind Source Separation Techniques
