English

Estimating and computing Kronecker Coefficients: a vector partition function approach

Combinatorics 2022-10-24 v1 Representation Theory

Abstract

We study the Kronecker coefficients gλ,μ,νg_{\lambda, \mu, \nu} via a formula that was described by Mishna, Rosas, and Sundaram, in which the coefficients are expressed as a signed sum of vector partition function evaluations. In particular, we use this formula to determine formulas to evaluate, bound, and estimate gλ,μ,νg_{\lambda, \mu, \nu} in terms of the lengths of the partitions λ,μ\lambda, \mu, and ν\nu. We describe a computational tool to compute Kronecker coefficients gλ,μ,νg_{\lambda, \mu, \nu} with (μ)2, (ν)4, (λ)8\ell(\mu) \leq 2,\ \ell(\nu) \leq 4,\ \ell(\lambda) \leq 8. We present a set of new vanishing conditions for the Kronecker coefficients by relating to the vanishing of the related atomic Kronecker coefficients, themselves given by a single vector partition function evaluation. We give a stable face of the Kronecker polyhedron for any positive integers m,nm,n. Finally, we give upper bounds on both the atomic Kronecker coefficients and Kronecker coefficients.

Keywords

Cite

@article{arxiv.2210.12128,
  title  = {Estimating and computing Kronecker Coefficients: a vector partition function approach},
  author = {Marni Mishna and Stefan Trandafir},
  journal= {arXiv preprint arXiv:2210.12128},
  year   = {2022}
}

Comments

23 pages, 1 figure

R2 v1 2026-06-28T04:12:16.602Z