English

Real eigenstructure of regular simplex tensors

Numerical Analysis 2022-03-31 v2 Numerical Analysis Algebraic Geometry Spectral Theory

Abstract

We are concerned with the eigenstructure of supersymmetric tensors. Like in the matrix case, normalized tensor eigenvectors are fixed points of the tensor power iteration map. However, unless the given tensor is orthogonally decomposable, some of these fixed points may be repelling and therefore be undetectable by any numerical scheme. In this paper, we consider the case of regular simplex tensors whose symmetric decomposition is induced by an overcomplete, equiangular set of n+1n+1 vectors from Rn\mathbb R^n. We discuss the full real eigenstructure of such tensors, including the robustness analysis of all normalized eigenvectors. As it turns out, regular simplex tensors exhibit robust as well as non-robust eigenvectors which, moreover, only partly coincide with the generators from the symmetric tensor decomposition.

Keywords

Cite

@article{arxiv.2203.01865,
  title  = {Real eigenstructure of regular simplex tensors},
  author = {Adam Czaplinski and Thorsten Raasch and Jonathan Steinberg},
  journal= {arXiv preprint arXiv:2203.01865},
  year   = {2022}
}

Comments

32 pages, 4 figures, 1 table

R2 v1 2026-06-24T10:01:09.955Z