English

SNT-Rank: Kronecker Products and Euclidean Distance Matrices

Rings and Algebras 2026-07-29 v1

Abstract

Symmetric nonnegative matrix trifactorizations (SN-Trifactorizations) were introduced by Bukov\v{s}ek-\v{S}migoc [Linear Algebra Appl. 2023] as a symmetric analogue of nonnegative matrix factorizations. A SN-Trifactorization of a symmetric nonnegative matrix AA is of the form A=BCBT,A = BCB^{T}, where BB and CC are nonnegative matrices, with CC symmetric. The associated SNT-rank of AA is defined as the smallest integer kk for which AA admits such a factorization with CR+k×kC \in \mathbb{R}_{+}^{k \times k}. In this paper, we derive sharper upper bounds for the SNT-rank of the Euclidean distance matrices considered by Shitov [Linear Algebra Appl. 2025] and Bukov\v{s}ek-\v{S}migoc [Linear Algebra Appl. 2023]. We also establish several new relationships between the rank and the SNT-rank of symmetric nonnegative matrices and show that the SNT-rank is submultiplicative with respect to the Kronecker product. Finally, motivated by a conjecture posed in the Dagstuhl Seminar Report 13082, we prove a multiplicativity result for the nonnegative rank under an additional structural assumption. We also partially resolve a conjecture of Vandaele-Gillis-Glineur-Tuyttens [J. Global Optim. 2016].

Keywords

Cite

@article{arxiv.2607.27037,
  title  = {SNT-Rank: Kronecker Products and Euclidean Distance Matrices},
  author = {Bharat Pratap Chauhan and Projesh Nath Choudhury},
  journal= {arXiv preprint arXiv:2607.27037},
  year   = {2026}
}

Comments

15 pages, no figures