English

Wildness for tensors

Representation Theory 2019-01-10 v2

Abstract

In representation theory, a classification problem is called wild if it contains the problem of classifying matrix pairs up to simultaneous similarity. The latter problem is considered as hopeless; it contains the problem of classifying an arbitrary finite system of vector spaces and linear mappings between them. We prove that an analogous "universal" problem in the theory of tensors of order at most 3 over an arbitrary field is the problem of classifying three-dimensional arrays up to equivalence transformations [aijk]i=1mj=1nk=1t  [i,j,kaijkuiivjjwkk]i=1mj=1nk=1t [a_{ijk}]_{i=1}^{m}\,{}_{j=1}^{n}\,{}_{k=1}^{t}\ \mapsto\ \Bigl[ \sum_{i,j,k} a_{ijk}u_{ii'} v_{jj'}w_{kk'}\Bigr]{}_{i'=1}^{m}\,{}_{j'=1}^{n}\,{}_{k'=1}^{t} in which [uii][u_{ii'}], [vjj][v_{jj'}], [wkk][w_{kk'}] are nonsingular matrices: this problem contains the problem of classifying an arbitrary system of tensors of order at most three.

Cite

@article{arxiv.1810.09219,
  title  = {Wildness for tensors},
  author = {Vyacheslav Futorny and Joshua A. Grochow and Vladimir V. Sergeichuk},
  journal= {arXiv preprint arXiv:1810.09219},
  year   = {2019}
}

Comments

38 pages

R2 v1 2026-06-23T04:48:07.993Z