Fourier Analysis via Mild Distributions: Group Theoretical Aspects
Hans G Feichtinger

TL;DR
This paper explores the use of mild distributions and Banach Gelfand Triples to advance Fourier analysis, emphasizing both theoretical foundations and practical applications.
Contribution
It introduces a framework connecting mild distributions with group theory to enhance Fourier analysis techniques.
Findings
Establishes a link between mild distributions and Fourier analysis
Provides a group-theoretical perspective on Fourier transforms
Lays groundwork for application-oriented Fourier analysis
Abstract
This note aims at providing a guide towards the use of mild distributions, or more generally the concept of Banach Gelfand Triples in the context of Fourier Analysis, both in the classical and the application oriented sense.
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Taxonomy
TopicsStatistical Mechanics and Entropy
