
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 \(r<1\).
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
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
| 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). | 12 | |
| 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. | Average | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Top 10% | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
