例外多项式的时间和频带限制

IF 2.6 2区 数学 Q1 MATHEMATICS, APPLIED Applied and Computational Harmonic Analysis Pub Date : 2023-10-10 DOI:10.1016/j.acha.2023.101600
M.M. Castro , F.A. Grünbaum , I. Zurrián
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引用次数: 0

摘要

“时间和频带限制”交换性质是由贝尔实验室的D.Slepian、H.Landau和H.Pollak在20世纪60年代发现和利用的,并由M.Mehta和后来的C.Tracy和H.Widom在随机矩阵理论中独立发现和利用。所讨论的性质是存在具有简单频谱的本地运营商,这些运营商可以与自然出现的全局运营商进行通勤。这里我们给出了一个一般的结果,它保证了给定的满足“双谱性质”的特殊正交多项式族存在一个交换微分算子。作为一个主要的工具,我们超越了双谱,并利用了与给定的异常多项式序列相关的傅立叶代数的概念。我们用Hermite和Laguerre型的两个例子说明了这一结果,也展示了通勤微分算子的一个很好的Perline形式。
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Time and band limiting for exceptional polynomials

The “time-and-band limiting” commutative property was found and exploited by D. Slepian, H. Landau and H. Pollak at Bell Labs in the 1960's, and independently by M. Mehta and later by C. Tracy and H. Widom in Random matrix theory. The property in question is the existence of local operators with simple spectrum that commute with naturally appearing global ones.

Here we give a general result that insures the existence of a commuting differential operator for a given family of exceptional orthogonal polynomials satisfying the “bispectral property”. As a main tool we go beyond bispectrality and make use of the notion of Fourier Algebras associated to the given sequence of exceptional polynomials. We illustrate this result with two examples, of Hermite and Laguerre type, exhibiting also a nice Perline's form for the commuting differential operator.

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来源期刊
Applied and Computational Harmonic Analysis
Applied and Computational Harmonic Analysis 物理-物理:数学物理
CiteScore
5.40
自引率
4.00%
发文量
67
审稿时长
22.9 weeks
期刊介绍: Applied and Computational Harmonic Analysis (ACHA) is an interdisciplinary journal that publishes high-quality papers in all areas of mathematical sciences related to the applied and computational aspects of harmonic analysis, with special emphasis on innovative theoretical development, methods, and algorithms, for information processing, manipulation, understanding, and so forth. The objectives of the journal are to chronicle the important publications in the rapidly growing field of data representation and analysis, to stimulate research in relevant interdisciplinary areas, and to provide a common link among mathematical, physical, and life scientists, as well as engineers.
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