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Mathematical Notes
Article . 1975 . Peer-reviewed
License: Springer TDM
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image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao
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https://dx.doi.org/10.1007/bf0...
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Strong summability of double series by matrix methods and Tauberian theorems for these methods

descriptionPublicationkeyboard_double_arrow_right Article 01 Mar 1975 English Publisher:Springer Science and Business Media LLCJournal:Mathematical Notes of the Academy of Sciences of the USSR, volume 17, pages 227-232 (issn: 0001-4346, eissn: 1573-8876, Copyright policy )
Authors: Slepenchuk, K. M.;

doi: 10.1007/bf01149011

Strong summability of double series by matrix methods and Tauberian theorems for these methods

Abstract

Conditions are established under which matrix transformations of double series and sequences preserve strong convergence. In addition, a general Tauberian theorem is established and applied to the method of Borel.

Keywords

Matrix methods for summability, Tauberian theorems, Absolute and strong summability, Multiple sequences and series

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selected citations
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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).
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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.
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