English

Tensor spaces and the geometry of polynomial representations

Representation Theory 2024-07-30 v1 Algebraic Geometry Logic

Abstract

A "tensor space" is a vector space equipped with a finite collection of multi-linear forms. In previous work, we showed that (for each signature) there exists a universal homogeneous tensor space, which is unique up to isomorphism. Here we generalize that result: we show that each Zariski class of tensor spaces contains a weakly homogeneous space, which is unique up to isomorphism; here, we say that two tensor spaces are "Zariski equivalent" if they satisfy the same polynomial identities. Our work relies on the theory of GL\mathbf{GL}-varieties developed by Bik, Draisma, Eggermont, and Snowden.

Keywords

Cite

@article{arxiv.2407.19132,
  title  = {Tensor spaces and the geometry of polynomial representations},
  author = {Nate Harman and Andrew Snowden},
  journal= {arXiv preprint arXiv:2407.19132},
  year   = {2024}
}

Comments

20 pages

R2 v1 2026-06-28T17:55:17.692Z