复阶尺度不变算子和自相似过程

IF 2.6 2区 数学 Q1 MATHEMATICS, APPLIED Applied and Computational Harmonic Analysis Pub Date : 2024-04-04 DOI:10.1016/j.acha.2024.101656
Arash Amini , Julien Fageot , Michael Unser
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引用次数: 0

摘要

在本文中,我们对尺度不变算子和复阶自相似过程进行了联合研究。更确切地说,我们通过在傅里叶域中构建尺度不变复阶分数衍生和积分算子,引入了一般的尺度不变复阶分数衍生和积分算子族。我们详细分析了这些算子,特别强调了它们输出的衰变特性。我们进一步利用它们引入了一系列复值稳定过程,这些过程具有复值赫斯特指数自相似性。这些随机过程通过它们在施瓦茨函数空间上的特征函数来表示。因此,它们被定义为 Gel'fand 意义上的广义随机过程。除了它们的自相似性和静止性,我们还研究了所提出的随机过程的索波列夫正则性。我们的工作说明了尺度不变算子与自相似过程之间的紧密联系,而构建适当的复阶尺度不变积分算子则是构建随机过程的准备工作。
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Complex-order scale-invariant operators and self-similar processes

In this paper, we perform the joint study of scale-invariant operators and self-similar processes of complex order. More precisely, we introduce general families of scale-invariant complex-order fractional-derivation and integration operators by constructing them in the Fourier domain. We analyze these operators in detail, with special emphasis on the decay properties of their output. We further use them to introduce a family of complex-valued stable processes that are self-similar with complex-valued Hurst exponents. These random processes are expressed via their characteristic functionals over the Schwartz space of functions. They are therefore defined as generalized random processes in the sense of Gel'fand. Beside their self-similarity and stationarity, we study the Sobolev regularity of the proposed random processes. Our work illustrates the strong connection between scale-invariant operators and self-similar processes, with the construction of adequate complex-order scale-invariant integration operators being preparatory to the construction of the random processes.

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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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