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AI Summary & Key Takeaways
AI Insight⚡ TL;DR(Too Long; Didn't Read)
We prove that the Cesàro means of the Fourier series of the multi-dimensional function $f\in L_1(\log L)^{d-1}(\mathbb{T}^d)\supset L_p(\mathbb{T}^d) (1<p<\infty)$ converge to $f$ at each strong Lebesgue point.
📌 3 Key Takeaways
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Objective & Hypothesis:We generalize the classical Lebesgue's theorem to multi-dimensional functions.
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Key Findings & Data:We generalize the classical Lebesgue's theorem to multi-dimensional functions.
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Conclusion & Impact:We prove that the Cesàro means of the Fourier series of the multi-dimensional function $f\in L_1(\log L)^{d-1}(\mathbb{T}^d)\supset L_p(\mathbb{T}^d) (1<p<\infty)$ converge to $f$ at each strong Lebesgue point.
🔬Design:Research Article
📍Scope:Comprehensive Sample
⚙️Variables:Cesàro summability · strong Hardy-Littlewood maximal function · strong Lebesgue points
Abstract
We generalize the classical Lebesgue's theorem to multi-dimensional functions. We prove that the Cesàro means of the Fourier series of the multi-dimensional function $f\in L_1(\log L)^{d-1}(\mathbb{T}^d)\supset L_p(\mathbb{T}^d) (1<p<\infty)$ converge to $f$ at each strong Lebesgue point.
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Cite This Article
Weisz, F. (2021). Unrestricted Cesàro summability of $d$-dimensional Fourier series and Lebesgue points. Constructive Mathematical Analysis, Volume: 4 Issue: 2. https://doi.org/10.33205/cma.859583