Convergence rate of numerical scheme for SDEs with a distributional drift in Besov space

This paper is concerned with numerical solutions of one-dimensional SDEs with the drift being a generalised function in the spatial variable, in particular being a 1/2-H"older continuous function of time taking values in a H"older-Zygmund space $\mathcal C^{-\gamma}$ of negative order $-\gamma<0$. We design an Euler-Maruyama numerical scheme and prove its convergence, obtaining an upper bound for the strong $L^1$ convergence rate. We finally implement the scheme and discuss the results obtained.

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Publication Details

Journal
ESAIM. Mathematical modelling and numerical analysis
Published
2025-08-03
DOI
https://doi.org/10.1051/m2an/2025064
Primary Topic
Stochastic processes and financial applications
Type
article
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article

Convergence rate of numerical scheme for SDEs with a distributional drift in Besov space

Elena Issoglio, Jan Palczewski, Luis Mario Chaparro Jáquez
ESAIM. Mathematical modelling and numerical analysis
Stochastic processes and financial applications
article

Convergence rate of numerical scheme for SDEs with a distributional drift in Besov space

Elena Issoglio, Jan Palczewski, Luis Mario Chaparro Jáquez
article en

Abstract

This paper is concerned with numerical solutions of one-dimensional SDEs with the drift being a generalised function in the spatial variable, in particular being a 1/2-H\"older continuous function of time taking values in a H\"older-Zygmund space $\mathcal C^{-\gamma}$ of negative order $-\gamma<0$. We design an Euler-Maruyama numerical scheme and prove its convergence, obtaining an upper bound for the strong $L^1$ convergence rate. We finally implement the scheme and discuss the results obtained.

ESAIM. Mathematical modelling and numerical analysis
Openalex Percentile: Top 75%
Stochastic processes and financial applications
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