An Axiomatic Approach to Mild Distributions

The Banach Gelfand Triple (S0,L2,S0′) consists of the Feichtinger algebra S0(Rd) as a space of test functions, the dual space S0′(Rd), known as the space of mild distributions, and the intermediate Hilbert space L2(Rd). This Gelfand Triple is very useful for the description of mathematical problems in the area of time-frequency analysis, but also for classical Fourier analysis and engineering applications. Because the involved spaces are Banach spaces, we speak of a Banach Gelfand Triple, in contrast to the widespread concept of rigged Hilbert spaces, which usually involve nuclear Frechet spaces. Still, both concepts serve very similar purposes. Based on the manifold properties of S0(Rd), it has found applications in the derivation of mathematical statements related to Gabor Analysis but also in providing an alternative and more lucid description of classical results, such as the Shannon sampling theory, with a potential to renew the way how Fourier and time-frequency analysis, but also signal processing courses for engineers (or physicists and mathematicians) could be taught in the future. In the present study, we will demonstrate that one could choose a relatively large variety of similar Banach Gelfand Triples, even if one wants to include key properties such as Fourier invariance (an extended version of Plancherel’s Theorem). Some of them appeared naturally in the literature. It turns out, that S0(Rd) is the smallest member of this family. Consequently S0′(Rd) is the largest dual space among all these spaces, which may be one of the reasons for its universal usefulness. This article provides a study of the basic properties following from a short list of relatively simple assumptions and gives a list of non-trivial examples satisfying these basic axioms.

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Journal
Axioms
Published
2025-04-16
DOI
https://doi.org/10.3390/axioms14040302
Primary Topic
Mathematical Analysis and Transform Methods
Type
article
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article

An Axiomatic Approach to Mild Distributions

Hans G. Feichtinger
Axioms
Mathematical Analysis and Transform Methods
article

An Axiomatic Approach to Mild Distributions

Hans G. Feichtinger
article en

Abstract

The Banach Gelfand Triple (S0,L2,S0′) consists of the Feichtinger algebra S0(Rd) as a space of test functions, the dual space S0′(Rd), known as the space of mild distributions, and the intermediate Hilbert space L2(Rd). This Gelfand Triple is very useful for the description of mathematical problems in the area of time-frequency analysis, but also for classical Fourier analysis and engineering applications. Because the involved spaces are Banach spaces, we speak of a Banach Gelfand Triple, in contrast to the widespread concept of rigged Hilbert spaces, which usually involve nuclear Frechet spaces. Still, both concepts serve very similar purposes. Based on the manifold properties of S0(Rd), it has found applications in the derivation of mathematical statements related to Gabor Analysis but also in providing an alternative and more lucid description of classical results, such as the Shannon sampling theory, with a potential to renew the way how Fourier and time-frequency analysis, but also signal processing courses for engineers (or physicists and mathematicians) could be taught in the future. In the present study, we will demonstrate that one could choose a relatively large variety of similar Banach Gelfand Triples, even if one wants to include key properties such as Fourier invariance (an extended version of Plancherel’s Theorem). Some of them appeared naturally in the literature. It turns out, that S0(Rd) is the smallest member of this family. Consequently S0′(Rd) is the largest dual space among all these spaces, which may be one of the reasons for its universal usefulness. This article provides a study of the basic properties following from a short list of relatively simple assumptions and gives a list of non-trivial examples satisfying these basic axioms.

AxiomsVol. 14(4)
University of Vienna (AT), Acoustics Research Institute (AT)
Openalex Percentile: Top 89%
Mathematical Analysis and Transform Methods
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