2020
DOI: 10.3390/axioms9010025
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A Sequential Approach to Mild Distributions

Abstract: The Banach Gelfand Triple ( S 0 , L 2 , S 0 ′ ) ( R d ) consists of S 0 ( R d ) , ∥ · ∥ S 0 , a very specific Segal algebra as algebra of test functions, the Hilbert space L 2 ( R d ) , ∥ · ∥ 2 and the dual space S 0 ′ ( R d ) , whose elements are also called “mild distributions”. Together they provide a universal tool for Fourier Analysis in its many manifestations. It is indispensable for a proper fo… Show more

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Cited by 7 publications
(4 citation statements)
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“…One of the basic results of our study is the observation (already formulated as Theorem C2 in [30] and then published, among others, as Theorem 8.4 in [9]), showing that any multiplier from S 0 (R d ) to S 0 (R d ) is a convolution operator by some σ ∈ S 0 (R d ): (22) In compact form, it is given in the pointwise sense by…”
Section: The Banach Gelfand Triplementioning
confidence: 93%
See 1 more Smart Citation
“…One of the basic results of our study is the observation (already formulated as Theorem C2 in [30] and then published, among others, as Theorem 8.4 in [9]), showing that any multiplier from S 0 (R d ) to S 0 (R d ) is a convolution operator by some σ ∈ S 0 (R d ): (22) In compact form, it is given in the pointwise sense by…”
Section: The Banach Gelfand Triplementioning
confidence: 93%
“…Remark 2. In the context of (mild or) tempered distributions (see [9] and or [10] respectively [11]), one can form PM(R d ) := F −1 (L ∞ (R d )) and call this (by transfer of the norm) the space of pseudomeasures. This space plays an important role for spectral analysis (see the book [12] by J. Benedetto).…”
Section: Introductionmentioning
confidence: 99%
“…Such a setting provides us with a way to work with norms instead of seminorms. See [22][23][24][25][26] for more information on the Feichtinger algebra and the Banach Gelfand triple…”
Section: Preliminariesmentioning
confidence: 99%
“…It explains their extraordinary role as (1) test functions for tempered distributions, (2) test functions in quantum mechanics [63], p. 12 and [164], pp. 317-318, (3) window functions in the Short Time Fourier Transform (STFT) [41,51,56,165,166] and (4) their validity-satisfying role in Poisson's Summation Formula [20,84,142,165].…”
Section: Definition 5 (Localization)mentioning
confidence: 99%