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 -varieties developed by Bik, Draisma, Eggermont, and Snowden.
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}
}
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20 pages