Decomposition of Low Rank Multi-Symmetric Tensor - Inria - Institut national de recherche en sciences et technologies du numérique Accéder directement au contenu
Communication Dans Un Congrès Année : 2017

Decomposition of Low Rank Multi-Symmetric Tensor

Jouhayna Harmouch
  • Fonction : Auteur
  • PersonId : 1023738
& B Mourrain
  • Fonction : Auteur
& H Khalil
  • Fonction : Auteur

Résumé

We study the decomposition of a multi-symmetric tensor T as a sum of powers of product of linear forms in correlation with the decomposition of its dual T * as a weighted sum of evaluations. We use the properties of the associated Artinian Gorenstein Algebra Aτ to compute the decomposition of its dual T * which is defined via a formal power series τ. We use the low rank decomposition of the Hankel operator Hτ associated to the symbol τ into a sum of indecomposable operators of low rank. A basis of Aτ is chosen such that the multiplication by some variables is possible. We compute the sub-coordinates of the evaluation points and their weights using the eigen-structure of multiplication matrices. The new algorithm that we propose works for small rank. We give a theoretical generalized approach of the method in n dimensional space. We show a numerical example of the decomposition of a multi-linear tensor of rank 3 in 3 dimensional space.
Fichier principal
Vignette du fichier
Partial Symmetric Tensor Decomposition.pdf (411.91 Ko) Télécharger le fichier
Origine : Fichiers produits par l'(les) auteur(s)
Loading...

Dates et versions

hal-01648747 , version 1 (27-11-2017)
hal-01648747 , version 2 (30-11-2017)

Licence

Copyright (Tous droits réservés)

Identifiants

Citer

Jouhayna Harmouch, & B Mourrain, & H Khalil. Decomposition of Low Rank Multi-Symmetric Tensor. MACIS 2017, Nov 2017, Vienna, Austria. pp.51-66, ⟨10.1007/978-3-319-72453-9_4⟩. ⟨hal-01648747v1⟩
242 Consultations
296 Téléchargements

Altmetric

Partager

Gmail Facebook X LinkedIn More