Laguerre- and Laplace-weighted integration of mixed-smoothness functions

Fuente: arXiv
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Autor principal: Dũng, Dinh
Formato: Preprint
Publicado: 2025
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author Dũng, Dinh
author_facet Dũng, Dinh
contents We investigate the approximation of generalized Laguerre- or Laplace-weighted integrals over $\mathbb{R}^d_+$ or $\mathbb{R}^d$ of functions from generalized Laguerre- or Laplace-weighted Sobolev spaces of mixed smoothness, respectively. We prove upper and lower bounds of the convergence rate of optimal quadratures with respect to $n$ integration nodes for functions from these spaces. The upper bound is performed by sparse-grid quadratures with integration nodes on step hyperbolic corners or hyperbolic crosses in the function domain $\mathbb{R}^d_+$ or $\mathbb{R}^d$, respectively.
format Preprint
id arxiv_https___arxiv_org_abs_2512_21489
institution arXiv
publishDate 2025
record_format arxiv
spellingShingle Laguerre- and Laplace-weighted integration of mixed-smoothness functions
Dũng, Dinh
Numerical Analysis
We investigate the approximation of generalized Laguerre- or Laplace-weighted integrals over $\mathbb{R}^d_+$ or $\mathbb{R}^d$ of functions from generalized Laguerre- or Laplace-weighted Sobolev spaces of mixed smoothness, respectively. We prove upper and lower bounds of the convergence rate of optimal quadratures with respect to $n$ integration nodes for functions from these spaces. The upper bound is performed by sparse-grid quadratures with integration nodes on step hyperbolic corners or hyperbolic crosses in the function domain $\mathbb{R}^d_+$ or $\mathbb{R}^d$, respectively.
title Laguerre- and Laplace-weighted integration of mixed-smoothness functions
topic Numerical Analysis
url https://arxiv.org/abs/2512.21489