Optimal distributional estimates of the multiple Hilbert transform
classification
🧮 math.FA
keywords
distributionalestimateshilbertmultipletransformcalderoptimalarbitrary
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In this paper, we study optimal distributional estimates for the multiple Hilbert transform. We obtain pointwise upper and lower distributional estimates of the multiple Hilbert transform in terms of the $d$-fold composition of the Calder\'{o}n operator with itself. This extends the fundamental results by A. P. Calder\'{o}n, D. Boyd, and Ch. Fefferman for arbitrary $d\in\mathbb N.$
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