New Martingale Inequalities and Applications to Fourier Analysis
Abstract
Let be a probability space and be a Musielak-Orlicz function. In this article, the authors prove that the Doob maximal operator is bounded on the Musielak-Orlicz space . Using this and extrapolation method, the authors then establish a Fefferman-Stein vector-valued Doob maximal inequality on . As applications, the authors obtain the dual version of the Doob maximal inequality and the Stein inequality for , which are new even in weighted Orlicz spaces. The authors then establish the atomic characterizations of martingale Musielak-Orlicz Hardy spaces , , , and . From these atomic characterizations, the authors further deduce some martingale inequalities between different martingale Musielak-Orlicz Hardy spaces, which essentially improve the corresponding results in Orlicz space case and are also new even in weighted Orlicz spaces. By establishing the Davis decomposition on and , the authors obtain the Burkholder-Davis-Gundy inequality associated with Musielak--Orlicz functions. Finally, using the previous martingale inequalities, the authors prove that the maximal Fej\'er operator is bounded from to , which further implies some convergence results of the Fej\'er means; these results are new even for the weighted Hardy spaces.
Keywords
Cite
@article{arxiv.1810.05007,
title = {New Martingale Inequalities and Applications to Fourier Analysis},
author = {Guangheng Xie and Ferenc Weisz and Dachun Yang and Yong Jiao},
journal= {arXiv preprint arXiv:1810.05007},
year = {2018}
}
Comments
58 pages; Submitted