Continuous-time sparse domination
Probability
2019-04-23 v2
Abstract
We develop the self similarity argument known as sparse domination in an abstract martingale setting, using a continuous time parameter. With this method, we prove a sharp weighted L^p estimate for the maximal operator Y^* of Y with respect to X. Here Y and X are uniformly integrable c\`adll\`ag Hilbert space valued martingales and Y differentially subordinate to X via the square bracket process. We also present a second, very simple proof of the special case Y=X. In this generality, notably including processes with jumps, the special case Y = X addresses a question raised in the late 70s by Bonami--L\'epingle.
Keywords
Cite
@article{arxiv.1607.06319,
title = {Continuous-time sparse domination},
author = {Komla Domelevo and Stefanie Petermichl},
journal= {arXiv preprint arXiv:1607.06319},
year = {2019}
}
Comments
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