English

Restricted convolution inequalities, multilinear operators and applications

Classical Analysis and ODEs 2016-05-13 v1 Analysis of PDEs

Abstract

For 1k<n 1\le k <n, we prove that for functions F,GF,G on Rn {\Bbb R}^{n}, any kk-dimensional affine subspace HRnH \subset {\Bbb R}^{n}, and p,q,r2p,q,r \ge 2 with 1p+1q+1r=1\frac{1}{p}+\frac{1}{q}+\frac{1}{r}=1, one has the estimate (FG)HLr(H)FΛ2,pH(Rn)GΛ2,qH(Rn), {||(F*G)|_H||}_{L^{r}(H)} \leq {||F||}_{\Lambda^H_{2, p}({\Bbb R}^{n})} \cdot {||G||}_{\Lambda^H_{2, q}({\Bbb R}^{n})}, where the mixed norms on the right are defined by FΛ2,pH(Rn)=(H(F^2dHξ)p2dξ)1p, {||F||}_{\Lambda^H_{2,p}({\Bbb R}^{n})}={(\int_{H^*} {(\int {|\hat{F}|}^2 dH_{\xi}^{\perp})}^{\frac{p}{2}} d\xi)}^{\frac{1}{p}}, with dHξdH_{\xi}^{\perp} the (nk)(n-k)-dimensional Lebesgue measure on the affine subspace Hξ:=ξ+HH_{\xi}^{\perp}:=\xi + 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):xRdH_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.

Keywords

Cite

@article{arxiv.1209.6574,
  title  = {Restricted convolution inequalities, multilinear operators and applications},
  author = {Dan-Andrei Geba and Allan Greenleaf and Alex Iosevich and Eyvindur Palsson and Eric Sawyer},
  journal= {arXiv preprint arXiv:1209.6574},
  year   = {2016}
}

Comments

20 pages

R2 v1 2026-06-21T22:12:55.168Z