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International Journal of Mathematics and Mathematical Sciences
Article . 2014 . Peer-reviewed
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Cauchy and Poisson Integral of the Convolutor in Beurling Ultradistributions ofLp-Growth

Cauchy and Poisson integral of the convolutor in Beurling ultradistributions of \(L_p\)-growth
Authors: Sohn, Byung Keun(Department of Mathematics, Inje University);

Cauchy and Poisson Integral of the Convolutor in Beurling Ultradistributions ofLp-Growth

Abstract

LetCbe a regular cone inℝand letTC=ℝ+iC⊂ℂbe a tubular radial domain. LetUbe the convolutor in Beurling ultradistributions ofLp-growth corresponding toTC. We define the Cauchy and Poisson integral ofUand show that the Cauchy integral of Uis analytic inTCand satisfies a growth property. We represent Uas the boundary value of a finite sum of suitable analytic functions in tubes by means of the Cauchy integral representation ofU. Also we show that the Poisson integral ofUcorresponding toTCattainsUas boundary value in the distributional sense.

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Keywords

Distributions and ultradistributions as boundary values of analytic functions, ultradistributions, Poisson integral of ultradistributions, QA1-939, Integral transforms in distribution spaces, Cauchy integral of ultradistributions, Mathematics, convolutors

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
1
Average
Average
Average
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