2对 × 2矩阵的谱最大化积的部分分类

IF 1 3区 数学 Q1 MATHEMATICS
Piotr Laskawiec
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引用次数: 0

摘要

实验表明,典型的有限方阵集允许谱最大化积(SMPs),即达到联合谱半径(JSR)的积。此外,这些smp通常组合起来很“简单”。在本文中,我们考虑了一对实数2×2矩阵。我们在这些对的空间中确定了保证smp存在并且具有简单结构的区域。我们还确定了另一个区域,其中smp可能不存在(事实上,该区域包括所有已知的有限猜想的反例),但仍然存在一个Sturmian最大化测度。虽然我们的结果适用于2×2矩阵对的大块空间,包括例如所有非负矩阵对,但它们忽略了某些可能存在更复杂行为的“野生”区域。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Partial classification of spectrum maximizing products for pairs of 2 × 2 matrices
Experiments suggest that typical finite sets of square matrices admit spectrum maximizing products (SMPs): that is, products that attain the joint spectral radius (JSR). Furthermore, those SMPs are often combinatorially “simple.” In this paper, we consider pairs of real 2×2 matrices. We identify regions in the space of such pairs where SMPs are guaranteed to exist and to have a simple structure. We also identify another region where SMPs may fail to exist (in fact, this region includes all known counterexamples to the finiteness conjecture), but nevertheless a Sturmian maximizing measure exists. Though our results apply to a large chunk of the space of pairs of 2×2 matrices, including for instance all pairs of non-negative matrices, they leave out certain “wild” regions where more complicated behavior is possible.
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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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