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Euler–Maruyama scheme for delay-type stochastic McKean-Vlasov equations driven by fractional Brownian motion

Shuaibin Gao, Qian Guo, Zhuoqi Liu, Chenggui Yuan Orcid Logo

Communications in Nonlinear Science and Numerical Simulation, Volume: 149, Start page: 108927

Swansea University Author: Chenggui Yuan Orcid Logo

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Abstract

This paper focuses on the Euler-Maruyama (EM) scheme for delay-type stochastic McKean-Vlasov equations (DSMVEs) driven by fractional Brownian motion with Hurst parameter H ∈ (0, 1/2) ∪ (1/2, 1). The existence and uniqueness of the solutions to such DSMVEs whose drift coefficients contain polynomial...

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Published in: Communications in Nonlinear Science and Numerical Simulation
ISSN: 1007-5704 1878-7274
Published: Elsevier BV 2025
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URI: https://cronfa.swan.ac.uk/Record/cronfa69505
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spelling 2025-06-10T14:52:54.3426008 v2 69505 2025-05-14 Euler–Maruyama scheme for delay-type stochastic McKean-Vlasov equations driven by fractional Brownian motion 22b571d1cba717a58e526805bd9abea0 0000-0003-0486-5450 Chenggui Yuan Chenggui Yuan true false 2025-05-14 MACS This paper focuses on the Euler-Maruyama (EM) scheme for delay-type stochastic McKean-Vlasov equations (DSMVEs) driven by fractional Brownian motion with Hurst parameter H ∈ (0, 1/2) ∪ (1/2, 1). The existence and uniqueness of the solutions to such DSMVEs whose drift coefficients contain polynomial delay terms are proved by exploiting the Banach fixed point theorem. Then thepropagation of chaos between interacting particle system and non-interacting system in Lp sense is shown. We find that even if the delay term satisfies the polynomial growth condition, the unmodified classical EM scheme still can approximate the corresponding interacting particle system without the particle corruption. The convergence rates are revealed for H ∈ (0, 1/2) ∪ (1/2, 1). Finally, as an example that closely fits the original equation, a stochastic opinion dynamics model with both extrinsic memory and intrinsic memory is simulated to illustrate the plausibility of the theoretical result. Journal Article Communications in Nonlinear Science and Numerical Simulation 149 108927 Elsevier BV 1007-5704 1878-7274 Delay-type stochastic mcKean-vlasov equations; Fractional brownian motion; Propagation of chaos; Euler–maruyama scheme; Strong convergence rate 1 10 2025 2025-10-01 10.1016/j.cnsns.2025.108927 COLLEGE NANME Mathematics and Computer Science School COLLEGE CODE MACS Swansea University SU Library paid the OA fee (TA Institutional Deal) This work is supported by the National Natural Science Foundation of China (12271368, 62373383 and 62076106) and Fund for Academic Innovation Teams of South-Central Minzu University (XTZ24004). 2025-06-10T14:52:54.3426008 2025-05-14T09:36:52.0186186 Faculty of Science and Engineering School of Mathematics and Computer Science - Mathematics Shuaibin Gao 1 Qian Guo 2 Zhuoqi Liu 3 Chenggui Yuan 0000-0003-0486-5450 4 69505__34453__357bb2c96b6a484285d25d9fcd53a3a0.pdf 69505.VOR.pdf 2025-06-10T14:50:20.9148687 Output 1583634 application/pdf Version of Record true © 2025 The Authors. This is an open access article distributed under the terms of the Creative Commons CC-BY license. true eng http://creativecommons.org/licenses/by/4.0/
title Euler–Maruyama scheme for delay-type stochastic McKean-Vlasov equations driven by fractional Brownian motion
spellingShingle Euler–Maruyama scheme for delay-type stochastic McKean-Vlasov equations driven by fractional Brownian motion
Chenggui Yuan
title_short Euler–Maruyama scheme for delay-type stochastic McKean-Vlasov equations driven by fractional Brownian motion
title_full Euler–Maruyama scheme for delay-type stochastic McKean-Vlasov equations driven by fractional Brownian motion
title_fullStr Euler–Maruyama scheme for delay-type stochastic McKean-Vlasov equations driven by fractional Brownian motion
title_full_unstemmed Euler–Maruyama scheme for delay-type stochastic McKean-Vlasov equations driven by fractional Brownian motion
title_sort Euler–Maruyama scheme for delay-type stochastic McKean-Vlasov equations driven by fractional Brownian motion
author_id_str_mv 22b571d1cba717a58e526805bd9abea0
author_id_fullname_str_mv 22b571d1cba717a58e526805bd9abea0_***_Chenggui Yuan
author Chenggui Yuan
author2 Shuaibin Gao
Qian Guo
Zhuoqi Liu
Chenggui Yuan
format Journal article
container_title Communications in Nonlinear Science and Numerical Simulation
container_volume 149
container_start_page 108927
publishDate 2025
institution Swansea University
issn 1007-5704
1878-7274
doi_str_mv 10.1016/j.cnsns.2025.108927
publisher Elsevier BV
college_str Faculty of Science and Engineering
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hierarchy_top_id facultyofscienceandengineering
hierarchy_top_title Faculty of Science and Engineering
hierarchy_parent_id facultyofscienceandengineering
hierarchy_parent_title Faculty of Science and Engineering
department_str School of Mathematics and Computer Science - Mathematics{{{_:::_}}}Faculty of Science and Engineering{{{_:::_}}}School of Mathematics and Computer Science - Mathematics
document_store_str 1
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description This paper focuses on the Euler-Maruyama (EM) scheme for delay-type stochastic McKean-Vlasov equations (DSMVEs) driven by fractional Brownian motion with Hurst parameter H ∈ (0, 1/2) ∪ (1/2, 1). The existence and uniqueness of the solutions to such DSMVEs whose drift coefficients contain polynomial delay terms are proved by exploiting the Banach fixed point theorem. Then thepropagation of chaos between interacting particle system and non-interacting system in Lp sense is shown. We find that even if the delay term satisfies the polynomial growth condition, the unmodified classical EM scheme still can approximate the corresponding interacting particle system without the particle corruption. The convergence rates are revealed for H ∈ (0, 1/2) ∪ (1/2, 1). Finally, as an example that closely fits the original equation, a stochastic opinion dynamics model with both extrinsic memory and intrinsic memory is simulated to illustrate the plausibility of the theoretical result.
published_date 2025-10-01T05:28:22Z
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