Sampling-width rate for weighted mixed Sobolev spaces

Let d2d\geq2, let rNr\in\mathbb N, let λ\lambda be an even integer with λ>4\lambda>4, and let ϱn(W2r(Rd;μ),L2(Rd;μ))\varrho_n(\boldsymbol W^r_2(\mathbb R^d;\mu),L_2(\mathbb R^d;\mu)) denote the sampling nn-width of the weighted mixed Sobolev ball in L2(Rd;μ)L_2(\mathbb R^d;\mu). Set rλr_\lambda to be the smoothness parameter associated with rr and λ\lambda in the paper. Sampling-width conjecture.

ϱn(W2r(Rd;μ),L2(Rd;μ))nrλ(logn)rλ(d1).\varrho_n(\boldsymbol W^r_2(\mathbb R^d;\mu),L_2(\mathbb R^d;\mu))\asymp n^{-r_\lambda}(\log n)^{r_\lambda(d-1)}.

This is presented as a consequence expected from the conjectured norm equivalence and would extend the established sampling-width rates to even λ>4\lambda>4; the source does not state that it has been proved.

Sources & referencesView supporting material

Primary source

Dinh Dũng, “Weighted sampling recovery of functions with mixed smoothness”, arXiv:2405.16400 (2025).

Progress summary

Never refreshed

Nothing recorded yet. Refresh searches the literature and the public web for attempts on this problem, and writes the first summary here.

Solutions 0

No solutions have been posted yet.