Nonlinear weak error expansion of McKean-Vlasov stochastic differential equations

Fuente: arXiv
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Autori principali: Jourdain, Benjamin, Le, Anh-Dung
Natura: Preprint
Pubblicazione: 2025
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_version_ 1866914170851557376
author Jourdain, Benjamin
Le, Anh-Dung
author_facet Jourdain, Benjamin
Le, Anh-Dung
contents According to Talay and Tubaro \cite{talay_expansion_1990}, the weak error between the solution to a stochastic differential equation with smooth coefficients and its Euler-Maruyama scheme can be expanded in powers of the time-step. In the present paper, we generalize this result to the case when the error is measured by a smooth functional on the Wasserstein space of probability measures in place of the linear functional given by the expectation of a smooth function considered in \cite{talay_expansion_1990}. Since this does not complicate our analysis based on the master partial differential equation, we even deal with the McKean-Vlasov case when the coefficients of the stochastic differential equation may depend on its current marginal distribution.
format Preprint
id arxiv_https___arxiv_org_abs_2511_20389
institution arXiv
publishDate 2025
record_format arxiv
spellingShingle Nonlinear weak error expansion of McKean-Vlasov stochastic differential equations
Jourdain, Benjamin
Le, Anh-Dung
Probability
60H10, 60H35
According to Talay and Tubaro \cite{talay_expansion_1990}, the weak error between the solution to a stochastic differential equation with smooth coefficients and its Euler-Maruyama scheme can be expanded in powers of the time-step. In the present paper, we generalize this result to the case when the error is measured by a smooth functional on the Wasserstein space of probability measures in place of the linear functional given by the expectation of a smooth function considered in \cite{talay_expansion_1990}. Since this does not complicate our analysis based on the master partial differential equation, we even deal with the McKean-Vlasov case when the coefficients of the stochastic differential equation may depend on its current marginal distribution.
title Nonlinear weak error expansion of McKean-Vlasov stochastic differential equations
topic Probability
60H10, 60H35
url https://arxiv.org/abs/2511.20389