An unbounded operator theory approach to lower frame and Riesz-Fischer sequences

IF 2.6 2区 数学 Q1 MATHEMATICS, APPLIED
Peter Balazs, Mitra Shamsabadi
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引用次数: 0

Abstract

Frames and orthonormal bases are important concepts in functional analysis and linear algebra. They are naturally linked to bounded operators. To describe unbounded operators those sequences might not be well suited. This has already been noted by von Neumann in the 1920ies. But modern frame theory also investigates other sequences, including those that are not naturally linked to bounded operators. The focus of this manuscript will be two such kind of sequences: lower frame and Riesz-Fischer sequences. We will discuss the inter-relation of those sequences. We will fill a hole existing in the literature regarding the classification of these sequences by their synthesis operator. We will use the idea of generalized frame operator and Gram matrix and extend it. We will use that to show properties for canonical duals for lower frame sequences, such as a minimality condition regarding its coefficients. We will also show that other results that are known for frames can be generalized to lower frame sequences. Finally, we show that the converse of a well-known result is true, i.e. that minimal lower frame sequences are equivalent to complete Riesz-Fischer sequences, without any further assumptions.

To be able to tackle these tasks, we had to revisit the concept of invertibility (in particular for non-closed operators). In addition, we are able to define a particular adjoint, which is uniquely defined for any operator.

下框架和里兹-菲舍尔序列的无界算子理论方法
框架和正交基是函数分析和线性代数中的重要概念。它们与有界算子有着天然的联系。要描述无界算子,这些序列可能不太合适。冯-诺依曼早在 1920 年代就注意到了这一点。但现代框架理论也研究其他序列,包括那些与有界算子没有天然联系的序列。本手稿的重点是两类这样的序列:下框架序列和里兹-费舍尔序列。我们将讨论这些序列的相互关系。我们将填补文献中关于根据合成算子对这些序列进行分类的空白。我们将使用广义框架算子和格拉姆矩阵的概念,并对其进行扩展。我们将利用它来展示低级框架序列的典型对偶的性质,比如关于其系数的最小条件。我们还将证明,框架的其他已知结果也可以推广到低级框架序列。最后,我们将证明一个众所周知的结果的反面是真实的,即最小下框架序列等价于完全里兹-费歇尔序列,而无需任何进一步的假设。此外,我们还能定义一种特殊的邻接,它对任何算子都是唯一定义的。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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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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