Restricted convolution inequalities, multilinear operators and applications
Abstract
For 1 k <n, we prove that for functions F,G on Rn, any k-dimensional affine subspace H ⊂ Rn, and p,q,r 2 with 1p+1q+1r=1, one has the estimate ||(F*G)|H||Lr(H) ≤ ||F||H2, p( Rn) · ||G||H2, q( Rn), where the mixed norms on the right are defined by ||F||H2,p( Rn)=(∫H* (∫ |F|2 dH)p2 d)1p, with dH the (n-k)-dimensional Lebesgue measure on the affine subspace H:= + H. Dually, one obtains restriction theorems for the Fourier transform for affine subspaces. Applied to F(x1,...,xm)=Πj=1m fj(xj) on md, the diagonal H0=(x,...,x): x ∈ Rd and suitable kernels G, this implies new results for multilinear convolution operators, including Lp-improving bounds for measures, an m-linear variant of Stein's spherical maximal theorem, estimates for m-linear oscillatory integral operators, certain Sobolev trace inequalities, and bilinear estimates for solutions to the wave equation.
Turn this paper into a lesson
ArcXiv compiles a structured reading guide from this paper's metadata: plain-English importance, contributions, prerequisite concepts, which sections to read first, flashcards, and a quiz. Grounded in the abstract, never invented.