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Necessary conditions for the convergence of averages with large values of the parameter - MaRDI portal

Necessary conditions for the convergence of averages with large values of the parameter (Q1595702)

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scientific article; zbMATH DE number 1564534
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Necessary conditions for the convergence of averages with large values of the parameter
scientific article; zbMATH DE number 1564534

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    Necessary conditions for the convergence of averages with large values of the parameter (English)
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    13 February 2001
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    Given a function \(f\in L^p(\mathbb{R}^n)\) and a function \(\phi\in L^1(\mathbb{R}^n)\), let \(f^*\phi_\varepsilon\) be the convolution with the ``stretched'' function \(\phi_\varepsilon(x)= \varepsilon^{-n}\phi(x/\varepsilon)\), \(\varepsilon> 0\). Necessary and sufficient conditions for the convergence of \(f^*\phi_\varepsilon\) as \(\varepsilon\to 0\) and \(\varepsilon\to \infty\) are obtained in terms of a certain weighted dyadic norm of \(\phi\). Related results of other authors are mentioned.
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    radial majorant
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    maximal function
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    Lebesgue points
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    necessary conditions
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    convergence of averages
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    convolution
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    weighted dyadic norm
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