Multi-parameter Maximal Fourier Restriction

The main result of this note is the strengthening of a quite arbitrary a priori Fourier restriction estimate to a multi-parameter maximal estimate of the same type. This allows us to discuss a certain multi-parameter Lebesgue point property of Fourier transforms, which replaces Euclidean balls by standard ellipsoids or axes-parallel rectangles. Along the lines of the same proof, we also establish a d-parameter Menshov–Paley–Zygmund-type theorem for the Fourier transform on \({\mathbb {R}}^d\) ${\mathbb{R}}^d$ . Such a result is interesting for \(d\geqslant 2\) $d⩾2$ because, in a sharp contrast with the one-dimensional case, the corresponding endpoint \({\text {L}}^2\) ${\text{L}}^2$ estimate (i.e., a Carleson-type theorem) is known to fail since the work of C. Fefferman in 1970. Finally, we show that a Strichartz estimate for a given homogeneous constant-coefficient linear dispersive PDE can sometimes be strengthened to a certain pseudo-differential version.