$L^p$-sup Convergence of the Euler-Maruyama Scheme for SDEs with Distributional Besov Drift
Matteo Cagnotti

TL;DR
This paper establishes convergence rates for the Euler-Maruyama scheme applied to one-dimensional SDEs with distributional Besov space drifts, extending previous results to broader function spaces and providing explicit $L^1$-$ ext{sup}$ norm rates.
Contribution
It extends convergence results of the Euler-Maruyama scheme to SDEs with drifts in negative order Besov spaces, using the Yamada-Watanabe technique and deriving explicit $L^1$-$ ext{sup}$ norm rates.
Findings
Proves $L^p$ convergence rates for all $p \\geq 2$.
Derives explicit $L^1$-$\\sup$ norm convergence rate.
Extends analysis to SDEs with distributional Besov drift.
Abstract
In this paper we extend existing results on the numerical approximation of one-dimensional SDEs with drift in a negative order Besov space and driven by Brownian motion. Using the Yamada-Watanabe approximation technique, we prove rates in , for all , applying a Gronwall-type lemma previously used in the literature for SDEs with H\"older continuous coefficients. Additionally, we obtain an explicit convergence rate in the - norm.
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Taxonomy
TopicsStochastic processes and financial applications · Navier-Stokes equation solutions · Fluid Dynamics and Turbulent Flows
