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AI Summary & Key Takeaways
AI Insight⚡ TL;DR(Too Long; Didn't Read)
We investigate the approximation properties of Nörlund and Riesz means of trigonometric Fourier series are investigated in the subset of weighted Lebesgue space with variable exponent.
📌 3 Key Takeaways
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Objective & Hypothesis:We investigate the approximation properties of Nörlund and Riesz means of trigonometric Fourier series are investigated in the subset of weighted Lebesgue space with variable exponent.
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Key Findings & Data:We investigate the approximation properties of Nörlund and Riesz means of trigonometric Fourier series are investigated in the subset of weighted Lebesgue space with variable exponent.
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Conclusion & Impact:We investigate the approximation properties of Nörlund and Riesz means of trigonometric Fourier series are investigated in the subset of weighted Lebesgue space with variable exponent.
🔬Design:Research Article
📍Scope:Comprehensive Sample
⚙️Variables:Weighted Lebesgue space with variable exponent · Lipschitz class · Riesz mean
Abstract
We investigate the approximation properties of Nörlund and Riesz means of trigonometric Fourier series are investigated in the subset of weighted Lebesgue space with variable exponent.
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Cite This Article
Testici, A. (2019). Approximation by Nörlund and Riesz means in weighted Lebesgue space with variable exponent. Communications Faculty of Sciences University of Ankara Series A1 Mathematics and Statistics, Volume: 68 Issue: 2. https://doi.org/10.31801/cfsuasmas.460449