Tensor spaces and the geometry of polynomial representations

Fuente: arXiv
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Autores principales: Harman, Nate, Snowden, Andrew
Formato: Preprint
Publicado: 2024
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author Harman, Nate
Snowden, Andrew
author_facet Harman, Nate
Snowden, Andrew
contents 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 $\mathbf{GL}$-varieties developed by Bik, Draisma, Eggermont, and Snowden.
format Preprint
id arxiv_https___arxiv_org_abs_2407_19132
institution arXiv
publishDate 2024
record_format arxiv
spellingShingle Tensor spaces and the geometry of polynomial representations
Harman, Nate
Snowden, Andrew
Representation Theory
Algebraic Geometry
Logic
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 $\mathbf{GL}$-varieties developed by Bik, Draisma, Eggermont, and Snowden.
title Tensor spaces and the geometry of polynomial representations
topic Representation Theory
Algebraic Geometry
Logic
url https://arxiv.org/abs/2407.19132