Restricted convolution inequalities, multilinear operators and applications

preprint2012arXivOpen access

Abstract

For 1≤k<n 1\le k <n, we prove that for functions F,GF,G on Rn {\Bbb R}^{n}, any kk-dimensional affine subspace H⊂RnH \subset {\Bbb R}^{n}, and p,q,r≥2p,q,r \ge 2 with 1p+1q+1r=1\frac{1}{p}+\frac{1}{q}+\frac{1}{r}=1, one has the estimate ∣∣(F∗G)∣H∣∣Lr(H)≤∣∣F∣∣Λ2,pH(Rn)⋅∣∣G∣∣Λ2,qH(Rn), {||(F*G)|_H||}_{L^{r}(H)} \leq {||F||}_{Λ^H_{2, p}({\Bbb R}^{n})} \cdot {||G||}_{Λ^H_{2, q}({\Bbb R}^{n})}, where the mixed norms on the right are defined by ∣∣F∣∣Λ2,pH(Rn)=(∫H∗(∫∣F^∣2dHξ⊥)p2dξ)1p, {||F||}_{Λ^H_{2,p}({\Bbb R}^{n})}={(\int_{H^*} {(\int {|\hat{F}|}^2 dH_ξ^{\perp})}^{\frac{p}{2}} dξ)}^{\frac{1}{p}}, with dHξ⊥dH_ξ^{\perp} the (n−k)(n-k)-dimensional Lebesgue measure on the affine subspace Hξ⊥:=ξ+H⊥H_ξ^{\perp}:=ξ+ H^\perp. Dually, one obtains restriction theorems for the Fourier transform for affine subspaces. Applied to F(x1,...,xm)=∏j=1mfj(xj)F(x^{1},...,x^{m})=\prod_{j=1}^m f_j(x^{j}) on Rmd\R^{md}, the diagonal H0=(x,...,x):x∈RdH_0={(x,...,x): x \in {\Bbb R}^d} and suitable kernels GG, this implies new results for multilinear convolution operators, including LpL^p-improving bounds for measures, an mm-linear variant of Stein's spherical maximal theorem, estimates for mm-linear oscillatory integral operators, certain Sobolev trace inequalities, and bilinear estimates for solutions to the wave equation.

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