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Yapay Zeka Hızlı Bakış & Çıkarımlar
AI Insight⚡ TL;DR(1 Cümlede Hızlı Çıkarım)
So, we obtain more powerful results than the classical ones in complex analysis.
📌 3 Maddede Bu Makale
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Amaç & Hipotez:In this article, using the notion of statistical convergence, we relax the hypotheses of the well-known theorems from classical complex analysis, such as Weierstrass’ Theorem, Montel’s Theorem and Hurwitz’s Theorem.
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Temel Bulgular & Veri:In this article, using the notion of statistical convergence, we relax the hypotheses of the well-known theorems from classical complex analysis, such as Weierstrass’ Theorem, Montel’s Theorem and Hurwitz’s Theorem.
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Sonuç & Katkı:So, we obtain more powerful results than the classical ones in complex analysis.
🔬Tür:Araştırma Makalesi
📍Kapsam:Genişletilmiş Akademik Örneklem
⚙️Değişkenler:Statistical convergence · Weierstrass’ theorem · Montel’s theorem
Abstract
In this article, using the notion of statistical convergence, we relax the hypotheses of the well-known theorems from classical complex analysis, such as Weierstrass’ Theorem, Montel’s Theorem and Hurwitz’s Theorem. So, we obtain more powerful results than the classical ones in complex analysis.
Anahtar kelimeler
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Bu Makaleye Atıf Yap
DUMAN, O. (2022). STRONG VERSIONS OF THE THEOREMS OF WEIERSTRASS, MONTEL AND HURWITZ. Hacettepe Journal of Mathematics and Statistics, Cilt: 38 - Sayı: 2, 153–159. https://ajindex.com/articles/530688