Abstract
We show that the classical \(A_{\infty }\) condition is not sufficient for a lower square function estimate in the non-homogeneous weighted \(L^2\) space. We also show that under the martingale \(A_2\) condition, an estimate holds true, but the optimal power of the characteristic jumps from 1 / 2 to 1 even when considering the classical \(A_2\) characteristic. This is in a sharp contrast to known estimates in the dyadic homogeneous setting as well as the recent positive results in this direction on the discrete time non-homogeneous martingale transforms. Last, we give a sharp \(A_{\infty }\) estimate for the n-adic homogeneous case, growing with n.
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Communicated by Loukas Grafakos.
Komla Domelevo and Stefanie Petermichl were supported by ERC project CHRiSHarMa no. DLV-682402. Sergei Treil was supported by the NSF Grants DMS-1600139. Alexander Volberg was supported by NSF Grant DMS-1600065. The paper was written while the authors were in residence at the Mathematical Sciences Research Institute in Berkeley, California, during the Spring semester of 2017, supported by the National Science Foundation under Grant no. 1440140.
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Domelevo, K., Ivanisvili, P., Petermichl, S. et al. On the failure of lower square function estimates in the non-homogeneous weighted setting. Math. Ann. 374, 1923–1952 (2019). https://doi.org/10.1007/s00208-018-1787-4
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DOI: https://doi.org/10.1007/s00208-018-1787-4