On the infinite time horizon approximation for Lévy-driven McKean-Vlasov SDEs with non-globally Lipschitz continuous and super-linearly growth drift and diffusion coefficients

Fuente: arXiv
Saved in:
Bibliographic Details
Main Authors: Tran, Ngoc Khue, Kieu, Trung-Thuy, Luong, Duc-Trong, Ngo, Hoang-Long
Format: Preprint
Published: 2024
Subjects:
Online Access:
Tags: Add Tag
No Tags, Be the first to tag this record!
_version_ 1866916084296187904
author Tran, Ngoc Khue
Kieu, Trung-Thuy
Luong, Duc-Trong
Ngo, Hoang-Long
author_facet Tran, Ngoc Khue
Kieu, Trung-Thuy
Luong, Duc-Trong
Ngo, Hoang-Long
contents This paper studies the numerical approximation for McKean-Vlasov stochastic differential equations driven by Lévy processes. We propose a tamed-adaptive Euler-Maruyama scheme and consider its strong convergence in both finite and infinite time horizons when applying for some classes of Lévy-driven McKean-Vlasov stochastic differential equations with non-globally Lipschitz continuous and super-linearly growth drift and diffusion coefficients.
format Preprint
id arxiv_https___arxiv_org_abs_2401_03977
institution arXiv
publishDate 2024
record_format arxiv
spellingShingle On the infinite time horizon approximation for Lévy-driven McKean-Vlasov SDEs with non-globally Lipschitz continuous and super-linearly growth drift and diffusion coefficients
Tran, Ngoc Khue
Kieu, Trung-Thuy
Luong, Duc-Trong
Ngo, Hoang-Long
Probability
Numerical Analysis
60H35, 60H10
This paper studies the numerical approximation for McKean-Vlasov stochastic differential equations driven by Lévy processes. We propose a tamed-adaptive Euler-Maruyama scheme and consider its strong convergence in both finite and infinite time horizons when applying for some classes of Lévy-driven McKean-Vlasov stochastic differential equations with non-globally Lipschitz continuous and super-linearly growth drift and diffusion coefficients.
title On the infinite time horizon approximation for Lévy-driven McKean-Vlasov SDEs with non-globally Lipschitz continuous and super-linearly growth drift and diffusion coefficients
topic Probability
Numerical Analysis
60H35, 60H10
url https://arxiv.org/abs/2401.03977