Approximation via power series statistical convergence for double sequences of matrix-valued functions
Yazarlar (2)
Prof. Dr. Kamil DEMİRCİ Sinop Üniversitesi, Türkiye
Dr. Öğr. Üyesi Selin ÇINAR Sinop Üniversitesi, Türkiye
Makale Türü Özgün Makale (ESCI dergilerinde yayınlanan tam makale)
Dergi Adı Advanced Studies Euro Tbilisi Mathematical Journal
Dergi ISSN 2667-9930 Dergi Bilgileri (2023)
Dergi Tarandığı Indeksler ESCI
Makale Dili İngilizce Basım Tarihi 10-2023
Kabul Tarihi Yayınlanma Tarihi 01-10-2023
Cilt / Sayı / Sayfa 16 / 1 / 145–157 DOI 10.32513/asetmj/1932200823311
Makale Linki https://tcms.org.ge/Journals/ASETMJ/Supplement%20issue/3/Abstract/abstract16_SupIss_3_11.html
UAK Araştırma Alanları
Matematik
Özet
In this study, we give an extension of Korovkin's theorem for functions belonging to a special class. Basically, we will obtain effective results by making use of the notion of statistical convergence in sense of the power series method which is widely used in approximation theory. With given example, we offer a stronger point of view than the classical meaning and we study the the rates of statistical convergence.
Anahtar Kelimeler
Korovkin theorem | Matrix-valued functions | Pp2−Statistical convergence | rate of approximation