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Minimizing numerical radius of weighted cyclic matrices under permutation of the weights

Functional Analysis 2025-12-30 v2

Abstract

In this article we answer a question asked by Chien et al. in arXiv:2304.06050 in which they study the numerical range of weighted cyclic matrices under permutation of their entries. Namely, we are interested in how w(Aσ)w(A_\sigma) fluctuates for various permutations σSn\sigma\in S_n and fixed 0a1<<an0\leq a_1<\cdots<a_n with Aσ=(0aσ(1)0aσ(2)aσ(n1)aσ(n)0)A_\sigma=\begin{pmatrix} 0&a_{\sigma(1)}&{}&{}&{}\cr {}&0&a_{\sigma(2)}&{}&{}\cr {}&{}&\ddots&\ddots&{}\cr {}&{}&{}&\ddots&a_{\sigma(n-1)}\cr a_{\sigma(n)}&{}&{}&{}&0 \end{pmatrix}. Previous results of Gau \cite{gau2024proof} and Chang and Wang \cite{chang2012maximizing} made clear the case when w(Aσ)w(A_\sigma) is maximal among all the w(Aμ)w(A_\mu) with μSn\mu\in S_n. Chien et al. in arXiv:2304.06050 ask what the permutation which makes w(Aσ)w(A_\sigma) minimal for n6n\geq 6 could be. Answering this question is the aim of this note.

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Cite

@article{arxiv.2512.17399,
  title  = {Minimizing numerical radius of weighted cyclic matrices under permutation of the weights},
  author = {Simon Marionnet},
  journal= {arXiv preprint arXiv:2512.17399},
  year   = {2025}
}

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20 pages