Let be analytic on with for some constants and and all . We show that the median estimate of under random linear scrambling with points converges at the rate for any . We also get a super-polynomial convergence rate for the sample median of random linearly scrambled estimates, when is bounded away from zero. When has a ’th derivative that satisfies a -Hölder condition then the median of means has error for any , if as . The proof techniques use methods from analytic combinatorics that have not previously been applied to quasi-Monte Carlo methods, most notably an asymptotic expression from Hardy and Ramanujan on the number of partitions of a natural number.
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This content will become publicly available on March 1, 2026
The weak-type Carleson theorem via wave packet estimates
We prove that the weak- norms, and in fact the sparse -norms, of the Carleson maximal partial Fourier sum operator are as . This is an improvement on the Carleson-Hunt theorem, where the same upper bound on the growth order is obtained for the restricted weak- type norm, and which was the strongest quantitative bound prior to our result. Furthermore, our sparse -norms bound imply new and stronger results at the endpoint . In particular, we obtain that the Fourier series of functions from the weighted Arias de Reyna space , which contains the weighted Antonov space , converge almost everywhere whenever . This is an extension of the results of Antonov [Proceedings of the XXWorkshop on Function Theory (Moscow, 1995), 1996, pp. 187–196] and Arias De Reyna, where must be Lebesgue measure. The backbone of our treatment is a new, sharply quantified near- Carleson embedding theorem for the modulation-invariant wave packet transform. The proof of the Carleson embedding relies on a newly developed smooth multi-frequency decomposition which, near the endpoint , outperforms the abstract Hilbert space approach of past works, including the seminal one by Nazarov, Oberlin and Thiele [Math. Res. Lett. 17 (2010), pp. 529–545]. As a further example of application, we obtain a quantified version of the family of sparse bounds for the bilinear Hilbert transforms due to Culiuc, Ou and the first author.
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- Award ID(s):
- 2054863
- PAR ID:
- 10612871
- Publisher / Repository:
- American Mathematical Society
- Date Published:
- Journal Name:
- Transactions of the American Mathematical Society
- Volume:
- 378
- Issue:
- 1090
- ISSN:
- 0002-9947
- Page Range / eLocation ID:
- 1551 to 1592
- Format(s):
- Medium: X
- Sponsoring Org:
- National Science Foundation
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