Approximation by pseudo-linear discrete operators
Author(s) -
İsmail Aslan,
Türkan Yeliz Gökçer
Publication year - 2021
Publication title -
mathematical foundations of computing
Language(s) - English
Resource type - Journals
ISSN - 2577-8838
DOI - 10.3934/mfc.2021037
Subject(s) - generator (circuit theory) , operator (biology) , modulus of continuity , mathematics , linear map , construct (python library) , continuous linear operator , continuous function (set theory) , function (biology) , relation (database) , sampling (signal processing) , operator theory , mathematical analysis , computer science , pure mathematics , type (biology) , power (physics) , data mining , filter (signal processing) , repressor , ecology , chemistry , biology , biochemistry , quantum mechanics , evolutionary biology , transcription factor , computer vision , programming language , physics , gene
In this note, we construct a pseudo-linear kind discrete operator based on the continuous and nondecreasing generator function. Then, we obtain an approximation to uniformly continuous functions through this new operator. Furthermore, we calculate the error estimation of this approach with a modulus of continuity based on a generator function. The obtained results are supported by visualizing with an explicit example. Finally, we investigate the relation between discrete operators and generalized sampling series.
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