1. Tensor spaces and the geometry of polynomial representations
- Author
-
Harman, Nate and Snowden, Andrew
- Subjects
Mathematics - Representation Theory ,Mathematics - Algebraic Geometry ,Mathematics - 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 $\mathbf{GL}$-varieties developed by Bik, Draisma, Eggermont, and Snowden., Comment: 20 pages
- Published
- 2024