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Volume 10, Issue 4
Itô-Taylor Schemes for Solving Mean-Field Stochastic Differential Equations

Yabing Sun, Jie Yang & Weidong Zhao

Numer. Math. Theor. Meth. Appl., 10 (2017), pp. 798-828.

Published online: 2017-10

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  • Abstract

This paper is devoted to numerical methods for mean-field stochastic differential equations (MSDEs). We first develop the mean-field Itô formula and mean-field Itô-Taylor expansion. Then based on the new formula and expansion, we propose the Itô-Taylor schemes of strong order $γ$ and weak order $η$ for MSDEs, and theoretically obtain the convergence rate $γ$ of the strong Itô-Taylor scheme, which can be seen as an extension of the well-known fundamental strong convergence theorem to the meanfield SDE setting. Finally some numerical examples are given to verify our theoretical results.

  • Keywords

Itô-Taylor scheme, mean-field stochastic differential equation, mean-field Itô-Taylor formula, error estimate.

  • AMS Subject Headings

60H35, 65C30, 60H10

  • Copyright

COPYRIGHT: © Global Science Press

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@Article{NMTMA-10-798, author = {}, title = {Itô-Taylor Schemes for Solving Mean-Field Stochastic Differential Equations}, journal = {Numerical Mathematics: Theory, Methods and Applications}, year = {2017}, volume = {10}, number = {4}, pages = {798--828}, abstract = {

This paper is devoted to numerical methods for mean-field stochastic differential equations (MSDEs). We first develop the mean-field Itô formula and mean-field Itô-Taylor expansion. Then based on the new formula and expansion, we propose the Itô-Taylor schemes of strong order $γ$ and weak order $η$ for MSDEs, and theoretically obtain the convergence rate $γ$ of the strong Itô-Taylor scheme, which can be seen as an extension of the well-known fundamental strong convergence theorem to the meanfield SDE setting. Finally some numerical examples are given to verify our theoretical results.

}, issn = {2079-7338}, doi = {https://doi.org/10.4208/nmtma.2017.0007}, url = {http://global-sci.org/intro/article_detail/nmtma/10457.html} }
TY - JOUR T1 - Itô-Taylor Schemes for Solving Mean-Field Stochastic Differential Equations JO - Numerical Mathematics: Theory, Methods and Applications VL - 4 SP - 798 EP - 828 PY - 2017 DA - 2017/10 SN - 10 DO - http://doi.org/10.4208/nmtma.2017.0007 UR - https://global-sci.org/intro/article_detail/nmtma/10457.html KW - Itô-Taylor scheme, mean-field stochastic differential equation, mean-field Itô-Taylor formula, error estimate. AB -

This paper is devoted to numerical methods for mean-field stochastic differential equations (MSDEs). We first develop the mean-field Itô formula and mean-field Itô-Taylor expansion. Then based on the new formula and expansion, we propose the Itô-Taylor schemes of strong order $γ$ and weak order $η$ for MSDEs, and theoretically obtain the convergence rate $γ$ of the strong Itô-Taylor scheme, which can be seen as an extension of the well-known fundamental strong convergence theorem to the meanfield SDE setting. Finally some numerical examples are given to verify our theoretical results.

Yabing Sun, Jie Yang & Weidong Zhao. (2020). Itô-Taylor Schemes for Solving Mean-Field Stochastic Differential Equations. Numerical Mathematics: Theory, Methods and Applications. 10 (4). 798-828. doi:10.4208/nmtma.2017.0007
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