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Maximal operators with rough kernels on product domains

Authors: Al-Salman, Ahmad;

Maximal operators with rough kernels on product domains

Abstract

In 1999, \textit{Y. Ding} [J. Math. Anal. Appl. 232, No. 1, 222--228 (1999; Zbl 0920.42013)] studied the maximal function \(M_{\Omega}(f)(x,y)=\sup_{h\in U}| (T_{\Omega,h}f)(x,y)| \), where \(U\) is the set of all \(h\in L^2(R_{+}\times R_{+}, r^{-1}s^{-1}dr ds)\), \(\| h\| _{L^2(R^{+}\times R_{+}, r^{-1}s^{-1}dr ds)}\leq 1\). He obtained that if \(\Omega\in L(\log L)^2\), then \(M_{\Omega}\) is bounded on \(L^2\). In this paper, the author studies the \(L^p\)-boundedness of this maximal operators with rough kernels in \(L(\log L)\). He proves that the operators are bounded on \(L^p\) for \(2\leq p<\infty.\) Morever, he shows that the condition on the kernel is optimal in the sense that the space \(L(\log L)\) cannot be replaced by \(L (\log L)^r\) for any \(r<1\).

Related Organizations
Keywords

Product domains, Maximal operators, Maximal functions, Littlewood-Paley theory, Singular and oscillatory integrals (Calderón-Zygmund, etc.), Applied Mathematics, Singular integrals, maximal operators, \(L_p\)-boundedness, Rough kernels, product domains, rough kernels, singular integrals, Analysis

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
12
Average
Top 10%
Average
hybrid