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AI Summary & Key Takeaways
AI Insight⚡ TL;DR(Too Long; Didn't Read)
The composition of the distributions $x^{-1} ln^m |x|$ and $x^r$ is evaluated for r,m = 1, 2, 3 . . ..
📌 3 Key Takeaways
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Objective & Hypothesis:Let F be a distribution and f a locally summable function.
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Key Findings & Data:The dis- tribution F(f) is defined as the neutrix limit of the sequence ${F_n(f)}$, where $F_n(x) = F(x)ast delta_n(x)$ and ${delta_n(x)}$ is a certain sequence of infinitely differentiable functions converging to the Dirac delta-function $delta(x)$.
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Conclusion & Impact:The composition of the distributions $x^{-1} ln^m |x|$ and $x^r$ is evaluated for r,m = 1, 2, 3 . . ..
🔬Design:Research Article
📍Scope:Comprehensive Sample
⚙️Variables:Domain Parameters
Abstract
Let F be a distribution and f a locally summable function. The dis- tribution F(f) is defined as the neutrix limit of the sequence ${F_n(f)}$, where $F_n(x) = F(x)ast delta_n(x)$ and ${delta_n(x)}$ is a certain sequence of infinitely differentiable functions converging to the Dirac delta-function $delta(x)$. The composition of the distributions $x^{-1} ln^m |x|$ and $x^r$ is evaluated for r,m = 1, 2, 3 . . ..
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Cite This Article
FISHER, B., EGE, İ., ÖZÇAĞ, E. (2022). On the composition of the distributions $x^{-1}ln^m|x|$ and $x^r$. Hacettepe Journal of Mathematics and Statistics, Cilt: 37 - Sayı: 1, 1–8. https://ajindex.com/articles/530719