Integrability of weak mixed first-order derivatives and convergence rates of scrambled digital nets

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1. Verfasser: Liu, Yang
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Veröffentlicht: 2025
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_version_ 1866916741274140672
author Liu, Yang
author_facet Liu, Yang
contents We consider the $L^p$ integrability of weak mixed first-order derivatives of the integrand and study convergence rates of scrambled digital nets. We show that the generalized Vitali variation with parameter $α\in [\frac{1}{2}, 1]$ from [Dick and Pillichshammer, 2010] is bounded above by the $L^p$ norm of the weak mixed first-order derivative, where $p = \frac{2}{3-2α}$. Consequently, when the weak mixed first-order derivative belongs to $L^p$ for $1 \leq p \leq 2$, the variance of the scrambled digital nets estimator convergences at a rate of $\mathcal{O}(N^{-4+\frac{2}{p}} \log^{s-1} N)$. Numerical experiments further validate the theoretical results.
format Preprint
id arxiv_https___arxiv_org_abs_2502_02266
institution arXiv
publishDate 2025
record_format arxiv
spellingShingle Integrability of weak mixed first-order derivatives and convergence rates of scrambled digital nets
Liu, Yang
Numerical Analysis
65C05
We consider the $L^p$ integrability of weak mixed first-order derivatives of the integrand and study convergence rates of scrambled digital nets. We show that the generalized Vitali variation with parameter $α\in [\frac{1}{2}, 1]$ from [Dick and Pillichshammer, 2010] is bounded above by the $L^p$ norm of the weak mixed first-order derivative, where $p = \frac{2}{3-2α}$. Consequently, when the weak mixed first-order derivative belongs to $L^p$ for $1 \leq p \leq 2$, the variance of the scrambled digital nets estimator convergences at a rate of $\mathcal{O}(N^{-4+\frac{2}{p}} \log^{s-1} N)$. Numerical experiments further validate the theoretical results.
title Integrability of weak mixed first-order derivatives and convergence rates of scrambled digital nets
topic Numerical Analysis
65C05
url https://arxiv.org/abs/2502.02266