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Multiplication product formula for associated homogeneous distributions on R

✍ Scribed by Ghislain R. Franssens


Publisher
John Wiley and Sons
Year
2011
Tongue
English
Weight
191 KB
Volume
34
Category
Article
ISSN
0170-4214

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✦ Synopsis


The set of associated homogeneous distributions (AHDs) on R, H (R), consists of the distributional analogues of powerlog functions with domain in R. This set contains the majority of the (one-dimensional) distributions one typically encounters in physics applications.

The recent work done by the author showed that the set H (R) admits a closed convolution structure (H (R), * ). By combining this structure with the generalized convolution theorem, a distributional multiplication product was defined, resulting in also a closed multiplication structure (H (R),.). In this paper, the general multiplication product formula for this structure is derived. Multiplication of AHDs on R is associative, except for critical triple products. These critical products are shown to be non-associative in a simple and interesting way. The non-associativity is necessary and sufficient to circumvent Schwartz's impossibility theorem on the multiplication of distributions.


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Convolution product formula for associat
✍ Ghislain R. Franssens 📂 Article 📅 2010 🏛 John Wiley and Sons 🌐 English ⚖ 343 KB

The set of Associated Homogeneous Distributions (AHDs) on R, H (R), consists of distributional analogues of power-log functions with domain in R. This set contains the majority of the (one-dimensional) distributions typically encountered in physics applications. In earlier work of the author it was

Structure theorems for associated homoge
✍ Ghislain R. Franssens 📂 Article 📅 2009 🏛 John Wiley and Sons 🌐 English ⚖ 211 KB

## Abstract Associated homogeneous distributions (AHDs) with support in the line **R** are the distributional generalizations of one‐dimensional power‐log functions. In this paper, we derive a number of practical structure theorems for AHDs based on **R** and being complex analytic with respect to