Some observations on Erdős matrices

IF 1.1 3区 数学 Q1 MATHEMATICS Linear Algebra and its Applications Pub Date : 2025-03-01 Epub Date: 2024-12-10 DOI:10.1016/j.laa.2024.12.002
Raghavendra Tripathi
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引用次数: 0

Abstract

In a seminal paper in 1959, Marcus and Ree proved that every n×n bistochastic matrix A satisfies AF2maxσSnAi,σ(i) where Sn is the symmetric group on {1,,n}. Erdős asked to characterize the bistochastic matrices for which the equality holds in the Marcus–Ree inequality. We refer to such matrices as Erdős matrices. While this problem is trivial in dimension n=2, the case of dimension n=3 was only resolved recently in [4] in 2023. We prove that for every n, there are only finitely many n×n Erdős matrices. We also give a complete characterization of Erdős matrices that yields an algorithm to generate all Erdős matrices in any given dimension. We also prove that Erdős matrices can have only rational entries. This answers a question of [4].
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关于Erdős矩阵的一些观察
在1959年的一篇开创性论文中,Marcus和Ree证明了每个n×n双随机矩阵a满足‖a‖F2≤maxσ∈Sn∈Ai,σ(i),其中Sn是{1,…,n}上的对称群。Erdős要求描述Marcus-Ree不等式中等式成立的双随机矩阵。我们把这样的矩阵称为Erdős矩阵。虽然这个问题在维度n=2中是微不足道的,但维度n=3的情况最近才在2023年的[4]中得到解决。我们证明了对于每一个n,只有有限个n×n Erdős矩阵。我们还给出了Erdős矩阵的完整表征,该表征产生了在任何给定维度上生成所有Erdős矩阵的算法。我们也证明了Erdős矩阵只能有有理数项。这回答了b[4]的问题。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
CiteScore
2.20
自引率
9.10%
发文量
333
审稿时长
13.8 months
期刊介绍: Linear Algebra and its Applications publishes articles that contribute new information or new insights to matrix theory and finite dimensional linear algebra in their algebraic, arithmetic, combinatorial, geometric, or numerical aspects. It also publishes articles that give significant applications of matrix theory or linear algebra to other branches of mathematics and to other sciences. Articles that provide new information or perspectives on the historical development of matrix theory and linear algebra are also welcome. Expository articles which can serve as an introduction to a subject for workers in related areas and which bring one to the frontiers of research are encouraged. Reviews of books are published occasionally as are conference reports that provide an historical record of major meetings on matrix theory and linear algebra.
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