English

Tensor-Tensor Products, Group Representations, and Semidefinite Programming

Optimization and Control 2025-07-18 v1 Computer Vision and Pattern Recognition Numerical Analysis Numerical Analysis Representation Theory

Abstract

The M\star_M-family of tensor-tensor products is a framework which generalizes many properties from linear algebra to third order tensors. Here, we investigate positive semidefiniteness and semidefinite programming under the M\star_M-product. Critical to our investigation is a connection between the choice of matrix M in the M\star_M-product and the representation theory of an underlying group action. Using this framework, third order tensors equipped with the M\star_M-product are a natural setting for the study of invariant semidefinite programs. As applications of the M-SDP framework, we provide a characterization of certain nonnegative quadratic forms and solve low-rank tensor completion problems.

Keywords

Cite

@article{arxiv.2507.12729,
  title  = {Tensor-Tensor Products, Group Representations, and Semidefinite Programming},
  author = {Alex Dunbar and Elizabeth Newman},
  journal= {arXiv preprint arXiv:2507.12729},
  year   = {2025}
}

Comments

34 Pages, 7 figures

R2 v1 2026-07-01T04:05:21.142Z