Randomised Euler-Maruyama method for SDEs with Hölder continuous drift coefficient

Fuente: arXiv
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Autori principali: Bao, Jianhai, Wu, Yue
Natura: Preprint
Pubblicazione: 2025
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author Bao, Jianhai
Wu, Yue
author_facet Bao, Jianhai
Wu, Yue
contents In this paper, we examine the performance of randomised Euler-Maruyama (EM) method for additive time-inhomogeneous SDEs with an irregular drift. In particular, the drift is assumed to be $α$-Hölder continuous in time and bounded $β$-Hölder continuous in space with $α,β\in (0,1]$. The strong order of convergence of the randomised EM in $L^p$-norm is shown to be $1/2+(α\wedge (β/2))-ε$ for an arbitrary $ε\in (0,1/2)$, higher than the one of standard EM, which is $α\wedge (1/2+β/2-ε)$. The proofs highly rely on the stochastic sewing lemma, where we also provide an alternative proof when handling time irregularity for a comparison.
format Preprint
id arxiv_https___arxiv_org_abs_2501_15527
institution arXiv
publishDate 2025
record_format arxiv
spellingShingle Randomised Euler-Maruyama method for SDEs with Hölder continuous drift coefficient
Bao, Jianhai
Wu, Yue
Probability
Numerical Analysis
65C30, 65C05, 60H10, 60H35, 60L90
In this paper, we examine the performance of randomised Euler-Maruyama (EM) method for additive time-inhomogeneous SDEs with an irregular drift. In particular, the drift is assumed to be $α$-Hölder continuous in time and bounded $β$-Hölder continuous in space with $α,β\in (0,1]$. The strong order of convergence of the randomised EM in $L^p$-norm is shown to be $1/2+(α\wedge (β/2))-ε$ for an arbitrary $ε\in (0,1/2)$, higher than the one of standard EM, which is $α\wedge (1/2+β/2-ε)$. The proofs highly rely on the stochastic sewing lemma, where we also provide an alternative proof when handling time irregularity for a comparison.
title Randomised Euler-Maruyama method for SDEs with Hölder continuous drift coefficient
topic Probability
Numerical Analysis
65C30, 65C05, 60H10, 60H35, 60L90
url https://arxiv.org/abs/2501.15527