On the identifiability of ternary forms
arXiv:1901.01796 · doi:10.1016/j.laa.2020.03.042
Abstract
We describe a new method to determine the minimality and identifiability of a Waring decomposition of a specific form (symmetric tensor) in three variables. Our method, which is based on the Hilbert function of , can distinguish between forms in the span of the Veronese image of , which in general contains both identifiable and not identifiable points, depending on the choice of coefficients in the decomposition. This makes our method applicable for all values of the length of the decomposition, from up to the generic rank, a range which was not achievable before. Though the method in principle can handle all cases of specific ternary forms, we introduce and describe it in details for forms of degree .
References in corpus (7)
- Identifiability of parameters in latent structure models with many observed variables
- On generic identifiability of symmetric tensors of subgeneric rank
- Effective criteria for specific identifiability of tensors and forms
- Decomposition of homogeneous polynomials with low rank
- Identifiability beyond Kruskal's bound for symmetric tensors of degree 4
- Real identifiability vs complex identifiability
- Identifiability for a class of symmetric tensors
Cited by in corpus (5)
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- Almost finitely generated inverse systems and reduced k-algebras