English

Optimal numerical integration for functions in fractional Gaussian Sobolev spaces

Numerical Analysis 2026-04-21 v3 Numerical Analysis

Abstract

This paper investigates the numerical approximation of integrals for functions in fractional Gaussian Sobolev spaces Wps(Rd,γ)W^s_{p}(\mathbb{R}^d,\gamma) with dominating mixed smoothness defined via kernel related to the fractional Ornstein-Uhlenbeck operator. Building upon quadrature rules for fractional Sobolev spaces on the unit cube [12,12]d[-\tfrac{1}{2}, \tfrac{1}{2}]^d, we construct quadrature schemes on Rd\mathbb{R}^d that achieve the same rate of convergence. As a consequence, we establish the optimal asymptotic order of the integration error in the regime 1<p<1 < p < \infty and s>1ps > \frac{1}{p}, s∉Ns\not \in \mathbb{N}. Furthermore, we show that the fractional Gaussian Sobolev spaces W2s(Rd,γ)W^s_{2}(\mathbb{R}^d,\gamma) coincide with Hermite spaces Hs(Rd,γ)\mathcal{H}^s(\mathbb{R}^d,\gamma) characterized by the weighted 2\ell_2-summability of their Fourier-Hermite coefficients. From this, we derive the optimal asymptotic order of the integration error for functions in these spaces for all s>12s > \frac{1}{2}. We also establish the corresponding optimal asymptotic order for functions in fractional Gaussian Sobolev spaces Wp,Gs(Rd,γ)W^s_{p,G}(\mathbb{R}^d,\gamma) defined via the Gagliardo seminorm.

Keywords

Cite

@article{arxiv.2604.03659,
  title  = {Optimal numerical integration for functions in fractional Gaussian Sobolev spaces},
  author = {Van Kien Nguyen},
  journal= {arXiv preprint arXiv:2604.03659},
  year   = {2026}
}

Comments

20 pages

R2 v1 2026-07-01T11:53:47.007Z