Sharpness of convolution bounds for measures
Sanghyuk Lee, Sungchul Lee

TL;DR
This paper identifies the precise range of exponents for which convolution operators with fractal measures are bounded between L^p and L^q spaces, establishing sharpness through explicit measure constructions.
Contribution
It determines the exact p-q bounds for convolution operators with fractal measures and refines existing results by constructing measures that demonstrate sharpness.
Findings
Established sharp p-q bounds for convolution operators with fractal measures.
Constructed measures satisfying Frostman and Fourier decay conditions that achieve these bounds.
Refined previous sharpness results for the L^2 restriction estimate in all dimensions.
Abstract
In this paper, we determine the sharp \((p,q)\) range for \(L^p\)--\(L^q\) bounds of convolution operators \(f\mapsto \mu*f\) associated with fractal measures \(\mu\in \mathcal P_{\alpha,\beta}(\mathbb R^d)\), namely, compactly supported Borel probability measures satisfying the \(\alpha\)-Frostman condition \[ \mu(B(x,\rho)) \lesssim \rho^\alpha, \qquad \forall (x,\rho)\in \mathbb R^d\times (0,1), \] and the \(\beta/2\)-Fourier decay condition \[ |\widehat{\mu}(\xi)| \lesssim |\xi|^{-\beta/2}, \qquad \forall \xi\in\mathbb R^d. \] Sharpness is established by constructing measures satisfying these conditions together with a suitable lower regularity condition. Modifications of the same constructions also refine previous sharpness results for the \(L^2\) restriction estimate of Mockenhaupt--Mitsis--Bak--Seeger by producing, in every dimension and in both the geometric \((\alpha\ge\beta)\)…
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.
