Convolution of distributions in sequential approach | Zendy

Svetlana Mincheva-Kamińska | Zendy

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Convolution of distributions in sequential approach

Author(s) -

Svetlana Mincheva-Kamińska

Publication year - 2014

Publication title -

filomat

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 0.449

H-Index - 34

eISSN - 2406-0933

pISSN - 0354-5180

DOI - 10.2298/fil1408543m

Subject(s) - mathematics , convolution (computer science) , equivalence (formal languages) , class (philosophy) , pure mathematics , machine learning , artificial intelligence , artificial neural network , computer science

A new class of special upper approximate units together with the known Vladimirov class of special approximate units are used to consider various sequential conditions of convolvability of distributions. The equivalence of these conditions to the known conditions of convolvability given by C. Chevalley and L. Schwartz is proved together with the equivalence of the corresponding definitions of the convolution of distributions.

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