Effective criteria for specific identifiability of tensors and forms
Luca Chiantini, Giorgio Ottaviani, Nick Vannieuwenhoven

TL;DR
This paper investigates the effectiveness of Kruskal's criterion combined with reshaping for tensor identifiability, proving its broad applicability and extending results to symmetric tensors and specific cases.
Contribution
It proves the effectiveness of reshaping-based Kruskal's criterion for tensor identifiability across real and complex cases, including symmetric tensors and specific ranks.
Findings
Kruskal's criterion with reshaping is effective for real and complex tensors.
The criterion is effective up to the smallest typical rank in many cases.
Extended analysis provides optimal criteria for symmetric tensors of certain orders.
Abstract
In applications where the tensor rank decomposition arises, one often relies on its identifiability properties for interpreting the individual rank- terms appearing in the decomposition. Several criteria for identifiability have been proposed in the literature, however few results exist on how frequently they are satisfied. We propose to call a criterion effective if it is satisfied on a dense, open subset of the smallest semi-algebraic set enclosing the set of rank- tensors. We analyze the effectiveness of Kruskal's criterion when it is combined with reshaping. It is proved that this criterion is effective for both real and complex tensors in its entire range of applicability, which is usually much smaller than the smallest typical rank. Our proof explains when reshaping-based algorithms for computing tensor rank decompositions may be expected to recover the decomposition.…
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