关于Hadamard-Fischer-Koteljanskii型不等式的充分必要条件

IF 1.1 3区 数学 Q1 MATHEMATICS Linear Algebra and its Applications Pub Date : 2025-03-01 Epub Date: 2024-12-19 DOI:10.1016/j.laa.2024.12.017
Phillip Braun , Hristo Sendov
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引用次数: 0

摘要

本文探讨正定矩阵的主子矩阵的行列式的乘积之比。我们研究了这些比率有界的条件,特别是回顾了Johnson和Barrett提出的必要/充分条件。这种分析扩展到某些比率的集合论结果和无界性。我们还演示了如何使用这些条件来证明几个已知的行列式不等式的有界性。此外,我们解决了在所有正定矩阵上寻找这些比率的最优的优化问题,并将其表述为线性优化程序。最后,为了完备性,我们包括了一些定理的证明,这些定理似乎是先前已知的,但缺乏可访问的证明。
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On the necessary and sufficient conditions for Hadamard-Fischer-Koteljanskii type inequalities
This work explores the ratios of products of determinants of principal submatrices of positive definite matrices. We investigate conditions under which these ratios are bounded, particularly revisiting the necessary/sufficient conditions proposed by Johnson and Barrett. This analysis extends to set-theoretic consequences and unboundedness of certain ratios. We also demonstrate how these conditions can be used to prove the boundedness of several known determinantal inequalities. Additionally, we address the optimization problem of finding the supremum of such ratios over all positive definite matrices, formulating it as a linear optimization program. Finally, for completeness, we include the proofs of theorems that appear to have been previously known but lack accessible proofs.
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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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