$L^2$ restriction estimates from the Fourier spectrum
Marc Carnovale, Jonathan M. Fraser, Ana E. de Orellana
TL;DR
This work introduces the Fourier spectrum as a refined descriptive tool for restriction problems, providing a continuum of $L^{q'}\to L^2$ restriction estimates that interpolate between classical Frostman-based and Sobolev-based perspectives. By optimizing over the spectrum parameter $\theta$, the authors derive sharper ranges than the Stein--Tomas theorem for a variety of measures, including the cone, the moment curve, and fractal constructions, and they also establish a partial converse describing when restriction fails. The results are extended to Lorentz spaces and endpoint cases, yielding sharper, near-optimal bounds and new endpoint phenomena. The paper demonstrates concrete advantages through detailed applications and computations of the Fourier spectrum for key measures, highlighting phase transitions and the interplay between Frostman, Fourier, and Sobolev dimensions in fractal geometry.
Abstract
The Stein--Tomas restriction theorem is an important result in Fourier restriction theory. It gives a range of $q$ for which $L^q\to L^2$ restriction estimates hold for a given measure, in terms of the Fourier and Frostman dimensions of the measure. We generalise this result by using the Fourier spectrum; a family of dimensions that interpolate between the Fourier and Sobolev dimensions for measures. This gives us a continuum of Stein--Tomas type estimates, and optimising over this continuum gives a new $L^q\to L^2$ restriction theorem which often outperforms the Stein--Tomas result. We also provide results in the other direction by giving a range of $q$ in terms of the Fourier spectrum for which $L^q\to L^2$ restriction estimates fail, generalising an observation of Hambrook and Łaba. We illustrate our results with several examples, including the surface measure on the cone, the moment curve, and several fractal measures.
