May 2024 On the Itô–Alekseev–Gröbner formula for stochastic differential equations
Anselm Hudde, Martin Hutzenthaler, Arnulf Jentzen, Sara Mazzonetto
Author Affiliations +
Ann. Inst. H. Poincaré Probab. Statist. 60(2): 904-922 (May 2024). DOI: 10.1214/21-AIHP1199

Abstract

In this article we establish a new formula for the difference of a test function of the solution of a stochastic differential equation and of the test function of an Itô process. The introduced formula essentially generalizes both the classical Alekseev–Gröbner formula from the literature on deterministic differential equations as well as the classical Itô formula from stochastic analysis. The discovered formula, which we suggest to refer to as Itô–Alekseev–Gröbner formula, is a powerful tool for deriving strong approximation rates for perturbations and approximations of stochastic ordinary and partial differential equations.

Dans cet article nous présentons une nouvelle formule qui exprime la différence entre une fonction test appliquée à une solution d’une équation différentielle stochastique et la même fonction test appliquée à un processus d’Itô. Cette formule généralise à la fois la formule classique d’Alekseev–Gröbner pour les équations différentielles déterministes et la formule d’Itô de l’analyse stochastique. Ainsi, nous suggérons de l’appeler formule d’Itô–Alekseev–Gröbner. Il s’agit d’un outil puissant pour dériver les taux d’approximation forte pour des perturbations et approximations d’équations différentielles stochastiques et d’équations à dérivées partielles stochastiques.

Funding Statement

This project has been partially supported by the Deutsche Forschungsgemeinschaft (DFG, German Research Foundation) via RTG 2131 High-dimensional Phenomena in Probability – Fluctuations and Discontinuity. The third author has been partially supported by the startup fund project of Shenzhen Research Institute of Big Data under grant No. T00120220001. The third author also gratefully acknowledges the Cluster of Excellence EXC 2044-390685587, Mathematics Münster: Dynamics-Geometry-Structure funded by the Deutsche Forschungsgemeinschaft (DFG, German Research Foundation).

Citation

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Anselm Hudde. Martin Hutzenthaler. Arnulf Jentzen. Sara Mazzonetto. "On the Itô–Alekseev–Gröbner formula for stochastic differential equations." Ann. Inst. H. Poincaré Probab. Statist. 60 (2) 904 - 922, May 2024. https://doi.org/10.1214/21-AIHP1199

Information

Received: 23 March 2020; Revised: 14 May 2021; Accepted: 3 June 2021; Published: May 2024
First available in Project Euclid: 11 June 2024

Digital Object Identifier: 10.1214/21-AIHP1199

Subjects:
Primary: 60H10

Keywords: Alekseev–Gröbner formula , Itô formula , Non-globally monotone coefficients , Nonlinear integration-by-parts formula , Nonlinear variation-of-constants formula , Perturbation of stochastic differential equations , small-noise analysis , strong convergence rate

Rights: Copyright © 2024 Association des Publications de l’Institut Henri Poincaré

Vol.60 • No. 2 • May 2024
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