IDEAS home Printed from https://ideas.repec.org/a/eee/matcom/v246y2026icp746-760.html

Stability of exact and numerical solutions for McKean–Vlasov stochastic differential equations with Hölder diffusion coefficients

Author

Listed:
  • Liu, Zhuoqi
  • Gao, Shuaibin
  • Guo, Qian

Abstract

This paper investigates the long-time behavior of highly nonlinear McKean–Vlasov stochastic differential equations (MVSDEs) with Hölder continuous diffusion coefficients and their numerical approximations, which play an important role in the analysis of some real-world models. Based on the Yamada–Watanabe approximation technique, the primary goal is to prove that the exact solution tends to the equilibrium state in pth moment sense with p>0. Then, the propagation of chaos between the interacting particle system and non-interacting one is derived in the infinite horizon. To approximate such equations, a modified tamed Euler–Maruyama scheme is constructed for the corresponding interacting particle system, and its mean-square stability is rigorously demonstrated. We reveal that the numerical solution can reproduce the stability of the underlying MVSDE. The final part presents the numerical examples of long-time propagation of chaos and the mean-square stability of numerical solution, which are consistent with the theoretical results.

Suggested Citation

  • Liu, Zhuoqi & Gao, Shuaibin & Guo, Qian, 2026. "Stability of exact and numerical solutions for McKean–Vlasov stochastic differential equations with Hölder diffusion coefficients," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 246(C), pages 746-760.
  • Handle: RePEc:eee:matcom:v:246:y:2026:i:c:p:746-760
    DOI: 10.1016/j.matcom.2026.02.031
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0378475426000789
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.matcom.2026.02.031?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to

    for a different version of it.

    References listed on IDEAS

    as
    1. Liu, Yicheng & Zhu, Quanxin, 2026. "Stability analysis of stochastic McKean–Vlasov equations with discrete observation," Applied Mathematics and Computation, Elsevier, vol. 511(C).
    2. Wang, Feng-Yu, 2018. "Distribution dependent SDEs for Landau type equations," Stochastic Processes and their Applications, Elsevier, vol. 128(2), pages 595-621.
    3. Chen, Xingyuan & dos Reis, Gonçalo, 2022. "A flexible split‐step scheme for solving McKean‐Vlasov stochastic differential equations," Applied Mathematics and Computation, Elsevier, vol. 427(C).
    4. Jianhai Bao & Xing Huang, 2022. "Approximations of McKean–Vlasov Stochastic Differential Equations with Irregular Coefficients," Journal of Theoretical Probability, Springer, vol. 35(2), pages 1187-1215, June.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Yifan Bai & Xing Huang, 2023. "Log-Harnack Inequality and Exponential Ergodicity for Distribution Dependent Chan–Karolyi–Longstaff–Sanders and Vasicek Models," Journal of Theoretical Probability, Springer, vol. 36(3), pages 1902-1921, September.
    2. Zhu, Jingtao & Zhao, Yuying & Gan, Siqing, 2026. "Strong error analysis and first-order convergence of Milstein-type schemes for McKean–Vlasov SDEs with superlinear coefficients," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 246(C), pages 697-726.
    3. Bao, Jianhai & Wang, Jian, 2026. "Stationary distributions of McKean-Vlasov SDEs with jumps: Existence, multiplicity and uniqueness," Stochastic Processes and their Applications, Elsevier, vol. 198(C).
    4. Li, Butong & Meng, Yongna & Sun, Xiaobin & Yang, Ting, 2022. "Optimal strong convergence rate for a class of McKean–Vlasov SDEs with fast oscillating perturbation," Statistics & Probability Letters, Elsevier, vol. 191(C).
    5. Ren, Panpan & Wu, Jiang-Lun, 2021. "Least squares estimation for path-distribution dependent stochastic differential equations," Applied Mathematics and Computation, Elsevier, vol. 410(C).
    6. Guangjun Shen & Qian Yu, 2026. "McKean–Vlasov Stochastic Differential Equations Driven by Fractional Stable Processes: Well-Posedness, Propagation of Chaos, Averaging Principle," Journal of Theoretical Probability, Springer, vol. 39(2), pages 1-28, June.
    7. Ren, Panpan, 2023. "Singular McKean–Vlasov SDEs: Well-posedness, regularities and Wang’s Harnack inequality," Stochastic Processes and their Applications, Elsevier, vol. 156(C), pages 291-311.
    8. Yulin Song, 2020. "Gradient Estimates and Exponential Ergodicity for Mean-Field SDEs with Jumps," Journal of Theoretical Probability, Springer, vol. 33(1), pages 201-238, March.
    9. Xing Huang & Xiaochen Ma, 2024. "Harnack Inequality for Distribution Dependent Second-Order Stochastic Differential Equations," Journal of Theoretical Probability, Springer, vol. 37(4), pages 3152-3176, November.
    10. Huang, Xing & Wang, Feng-Yu, 2019. "Distribution dependent SDEs with singular coefficients," Stochastic Processes and their Applications, Elsevier, vol. 129(11), pages 4747-4770.
    11. Christoph Reisinger & Maria Olympia Tsianni, 2025. "Numerical analysis of a particle system for the calibrated Heston-type local stochastic volatility model," Papers 2504.14343, arXiv.org.
    12. Xiyuan Su & Menglin Xu & Fen-Fen Yang, 2025. "Harnack Inequalities for Mean-Field G-Stochastic Differential Equations with Multiplicative Noise," Journal of Theoretical Probability, Springer, vol. 38(2), pages 1-29, June.
    13. Ma, Xiaocui & Yue, Haitao & Xi, Fubao, 2022. "The averaging method for doubly perturbed distribution dependent SDEs," Statistics & Probability Letters, Elsevier, vol. 189(C).
    14. Qian, Jin & Shen, Guangjun, 2026. "Central limit theorem for distribution dependent SDEs with multiplicative fractional noise," Statistics & Probability Letters, Elsevier, vol. 235(C).
    15. Ning Ning & Jing Wu, 2026. "Well-Posedness and Propagation of Chaos for McKean–Vlasov Stochastic Variational Inequalities," Journal of Theoretical Probability, Springer, vol. 39(1), pages 1-48, March.
    16. Sharrock, Louis & Kantas, Nikolas & Parpas, Panos & Pavliotis, Grigorios A., 2023. "Online parameter estimation for the McKean–Vlasov stochastic differential equation," Stochastic Processes and their Applications, Elsevier, vol. 162(C), pages 481-546.
    17. Xiao-Yu Zhao, 2024. "Well-Posedness for Path-Distribution Dependent Stochastic Differential Equations with Singular Drifts," Journal of Theoretical Probability, Springer, vol. 37(4), pages 3654-3687, November.
    18. Fan, Xiliang & Yu, Ting & Yuan, Chenggui, 2023. "Asymptotic behaviors for distribution dependent SDEs driven by fractional Brownian motions," Stochastic Processes and their Applications, Elsevier, vol. 164(C), pages 383-415.
    19. Fan, Xiliang & Huang, Xing & Suo, Yongqiang & Yuan, Chenggui, 2022. "Distribution dependent SDEs driven by fractional Brownian motions," Stochastic Processes and their Applications, Elsevier, vol. 151(C), pages 23-67.
    20. Wang, Jiangpeng & Shen, Guangjun & Zhang, Xuekang, 2026. "Mckean–Vlasov stochastic functional differential equations with common noise driven by fractional Brownian motions," Chaos, Solitons & Fractals, Elsevier, vol. 209(P1).

    More about this item

    Keywords

    ;
    ;
    ;
    ;
    ;

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:matcom:v:246:y:2026:i:c:p:746-760. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Catherine Liu (email available below). General contact details of provider: http://www.journals.elsevier.com/mathematics-and-computers-in-simulation/ .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.