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引用次数: 0
摘要
我们证明了满足某些凸性和凹性条件的巴拿赫函数空间上算子的紧凑性定理的外推法。特别是,我们证明了算子 T 在加权 Lebesgue 标度上的有界性和 T 在非加权 Lebesgue 标度上的紧凑性,从而得到了 T 在一类非常普遍的巴拿赫函数空间上的紧凑性。作为我们的主要新工具,我们利用一种新颖的稀疏自改进技术,证明了哈代-利特尔伍德最大算子在这类空间及其关联空间上的有界性的各种特征。我们将我们的主要结果应用于证明奇异积分算子换元的紧凑性,以及在加权可变 Lebesgue 空间等上与平均振荡消失的函数进行点相乘。
Extrapolation of Compactness on Banach Function Spaces
We prove an extrapolation of compactness theorem for operators on Banach function spaces satisfying certain convexity and concavity conditions. In particular, we show that the boundedness of an operator T in the weighted Lebesgue scale and the compactness of T in the unweighted Lebesgue scale yields compactness of T on a very general class of Banach function spaces. As our main new tool, we prove various characterizations of the boundedness of the Hardy-Littlewood maximal operator on such spaces and their associate spaces, using a novel sparse self-improvement technique. We apply our main results to prove compactness of the commutators of singular integral operators and pointwise multiplication by functions of vanishing mean oscillation on, for example, weighted variable Lebesgue spaces.
期刊介绍:
The Journal of Fourier Analysis and Applications will publish results in Fourier analysis, as well as applicable mathematics having a significant Fourier analytic component. Appropriate manuscripts at the highest research level will be accepted for publication. Because of the extensive, intricate, and fundamental relationship between Fourier analysis and so many other subjects, selected and readable surveys will also be published. These surveys will include historical articles, research tutorials, and expositions of specific topics.
TheJournal of Fourier Analysis and Applications will provide a perspective and means for centralizing and disseminating new information from the vantage point of Fourier analysis. The breadth of Fourier analysis and diversity of its applicability require that each paper should contain a clear and motivated introduction, which is accessible to all of our readers.
Areas of applications include the following:
antenna theory * crystallography * fast algorithms * Gabor theory and applications * image processing * number theory * optics * partial differential equations * prediction theory * radar applications * sampling theory * spectral estimation * speech processing * stochastic processes * time-frequency analysis * time series * tomography * turbulence * uncertainty principles * wavelet theory and applications