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The Doubly Stochastic Single Eigenvalue Problem: A Computational Approach
Experimental Mathematics ( IF 0.5 ) Pub Date : 2020-03-10 , DOI: 10.1080/10586458.2020.1727799
Amit Harlev 1 , Charles R. Johnson 2 , Derek Lim 3
Affiliation  

Abstract

The problem of determining DSn, the complex numbers that occur as an eigenvalue of an n-by-n doubly stochastic matrix, has been a target of study for some time. The Perfect-Mirsky region, PMn, is contained in DSn and is known to be exactly DSn for n4, but strictly contained within DSn for n = 5. Here, we present a Boundary Conjecture that asserts that the boundary of DSn is achieved by eigenvalues of convex combinations of pairs of (or single) permutation matrices. We present a method to efficiently compute a portion of DSn and obtain computational results that support the Boundary Conjecture. We also give evidence that DSn is equal to PMn for certain n > 5.



中文翻译:

双随机单特征值问题:一种计算方法

摘要

确定DS n的问题,即作为n × n双随机矩阵的特征值出现的复数,一直是研究的目标。Perfect-Mirsky 区域PM n包含在DS n中,并且已知恰好是DS nn4,但在n = 5 时严格包含在DS n内 。在这里,我们提出一个边界猜想,断言DS n的边界是通过成对(或单个)置换矩阵的凸组合的特征值实现的。我们提出了一种有效计算DS n的一部分并获得支持边界猜想的计算结果的方法。我们还提供证据证明DS n等于PM n对于某些n  > 5。

更新日期:2020-03-10
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