On the maximal directional Hilbert transform
Izabella Laba, Alessandro Marinelli, Malabika Pramanik

TL;DR
This paper proves that the maximal directional Hilbert transform's operator norm grows at least as the square root of the logarithm of the number of directions, implying unboundedness for infinite directions in any dimension.
Contribution
It establishes a lower bound on the operator norm of the maximal directional Hilbert transform for finite sets of directions in any dimension, extending previous results to all p in (1, ∞).
Findings
Operator norm grows at least as C_{p,n} * sqrt(log #U)
Infinite direction sets lead to unbounded transforms on L^p
Completes a conjecture for all dimensions and p in (1, ∞)
Abstract
For any dimension , we consider the maximal directional Hilbert transform on associated with a direction set : \[ \mathscr{H}_Uf(x) := \frac{1}{\pi} \sup_{v \in U} \Bigl| \text{p.v.} \int f(x - tv) \, \frac{dt}{t}\Bigr|.\] The main result in this article asserts that for any exponent , there exists a positive constant such that for any finite direction set , \[||\mathscr{H}_U||_{p \rightarrow p} \geq C_{p,n} \sqrt{\log \#U}, \] where denotes the cardinality of . As a consequence, the maximal directional Hilbert transform associated with an infinite set of directions cannot be bounded on for any and any . This completes a result of Karagulyan, who proved a similar statement for and .
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsAdvanced Harmonic Analysis Research · Analytic and geometric function theory · Mathematical Analysis and Transform Methods
